AAAI Conference on Artificial Intelligence (AAAI) - 2025

Website:

Venue Year Papers
Repro. Score Reproducibility Score based on Gundersen et al. (2025)
Doc. Mean Doc. Median Dataset Doc. Code Doc. Other Doc. % Empirical % Industry Website
AAAI 2025 2903 0.58 3.83 4.0 1.52 0.54 1.77 95.8% 27.62%
Pseudocode
Open Source Code
Open Datasets
Dataset Splits
Hardware Specification
Software Dependencies
Experiment Setup
(Almost Full) EFX for Three (and More) Types of Agents 0
3CAD: A Large-Scale Real-World 3C Product Dataset for Unsupervised Anomaly Detection 5
3D Annotation-Free Learning by Distilling 2D Open-Vocabulary Segmentation Models for Autonomous Driving 5
3D Denoisers Are Good 2D Teachers: Molecular Pretraining via Denoising and Cross-Modal Distillation 4
3D Measurement of Complex Textured Objects Based on Bidirectional Fringe Projection 2
3D-RPE: Enhancing Long-Context Modeling Through 3D Rotary Position Encoding 5
3D-aware Select, Expand, and Squeeze Token for Aerial Action Recognition 4
3DHumanEdit: Multi-modal Body Part-aware Conditioning Information Integration for 3D Human Manipulation 1
3DMambaIPF: A State Space Model for Iterative Point Cloud Filtering via Differentiable Rendering 6
3DPGS: 3D Probabilistic Graph Search for Archaeological Piece Grouping 5
3D²-Actor: Learning Pose-Conditioned 3D-Aware Denoiser for Realistic Gaussian Avatar Modeling 4
3SAT: A Simple Self-Supervised Adversarial Training Framework 4
4D Diffusion for Dynamic Protein Structure Prediction with Reference and Motion Guidance 2
A (1+ε)-Approximation for Ultrametric Embedding in Subquadratic Time 5
A Black-Box Evaluation Framework for Semantic Robustness in Bird’s Eye View Detection 5
A Compact Implicit Neural Representation for Efficient Storage of Massive 4D Functional Magnetic Resonance Imaging 4
A Compact Model for Mathematics Problem Representations Distilled from BERT 3
A Complete Algorithm for Optimization Modulo Nonlinear Real Arithmetic 6
A Comprehensive Evaluation on Event Reasoning of Large Language Models 1
A Comprehensive Overhaul of Multimodal Assistant with Small Language Models 3
A Computationally Grounded Framework for Cognitive Attitudes 4
A Continuous-time Tractable Model for Present-biased Agents 0
A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation 3
A Diffusion-Based Framework for Occluded Object Movement 1
A Gaussian Filter-Based 3D Registration Method for Series Section Electron Microscopy 4
A Knowledge Distillation-Based Approach to Enhance Transparency of Classifier Models 7
A Label-free Heterophily-guided Approach for Unsupervised Graph Fraud Detection 3
A Layer Selection Approach to Test Time Adaptation 3
A Lightweight Sparse Interaction Network for Time Series Forecasting 4
A Logical Analysis of Hanabi 0
A Lottery Ticket Hypothesis Approach with Sparse Fine-tuning and MAE for Image Forgery Detection and Localization 5
A Many-Objective Problem Where Crossover Is Provably Indispensable 1
A Matching-Based Algorithm for the Traveling Tournament Problem 5
A Method for Enhancing Generalization of Adam by Multiple Integrations 4
A Modal Logic for Joint Abilities of Structured Strategies with Bounded Complexity 1
A Multi-Focus-Driven Multi-Branch Network for Robust Multimodal Sentiment Analysis 5
A Multiagent Path Search Algorithm for Large-Scale Coalition Structure Generation 3
A New Adversarial Perspective for LiDAR-based 3D Object Detection 3
A New Federated Learning Framework Against Gradient Inversion Attacks 3
A New Formula for Sticker Retrieval: Reply with Stickers in Multi-Modal and Multi-Session Conversation 5
A No Free Lunch Theorem for Human-AI Collaboration 0
A Pioneering Neural Network Method for Efficient and Robust Fuel Sloshing Simulation in Aircraft 2
A Practical Approach to Causal Inference over Time 3
A Robust Prototype-Based Network with Interpretable RBF Classifier Foundations 4
A Sample-Level Evaluation and Generative Framework for Model Inversion Attacks 5
A Scalable and Effective Alternative to Graph Transformers 4
A Similarity Paradigm Through Textual Regularization Without Forgetting 3
A Simple Graph Contrastive Learning Framework for Short Text Classification 7
A Simple and Comprehensive Benchmark for Single-Cell Transcriptomics 4
A Stochastic Approach to Bi-Level Optimization for Hyperparameter Optimization and Meta Learning 3
A Syntactic Approach to Computing Complete and Sound Abstraction in the Situation Calculus 0
A Systematic Exploration of Knowledge Graph Alignment with Large Language Models in Retrieval Augmented Generation 1
A Theoretical Framework for an Efficient Normalizing Flow-Based Solution to the Electronic Schrödinger Equation 0
A Theory of Formalisms for Representing Knowledge 1
A Thorough Comparison Between Independent Cascade and Susceptible-Infected-Recovered Models 0
A Training-free Synthetic Data Selection Method for Semantic Segmentation 5
A Trusted Lesion-assessment Network for Interpretable Diagnosis of Coronary Artery Disease in Coronary CT Angiography 3
A Unified Degradation-Robust Approach to SSL and UDA for 3D Medical Images 4
A Unified Framework for Human-Allied Learning of Probabilistic Circuits 4
A Unified Loss for Handling Inter-Class and Intra-Class Imbalance in Medical Image Segmentation 4
A Unified Model of Direct and Indirect Reciprocity in Multichannel Games 1
A Unifying Information-theoretic Perspective on Evaluating Generative Models 2
A Variable Occurrence-Centric Framework for Inconsistency Handling 0
A Video-grounded Dialogue Dataset and Metric for Event-driven Activities 3
A Wander Through the Multimodal Landscape: Efficient Transfer Learning via Low-rank Sequence Multimodal Adapter 2
A Wiener Process Perspective on Local Intrinsic Dimension Estimation Methods 0
A-VL: Adaptive Attention for Large Vision-Language Models 3
AAKR: Adversarial Attack-based Knowledge Retention for Continual Semantic Segmentation 3
ABC3: Active Bayesian Causal Inference with Cohn Criteria in Randomized Experiments 5
ABQ-LLM: Arbitrary-Bit Quantized Inference Acceleration for Large Language Models 4
ACCon: Angle-Compensated Contrastive Regularizer for Deep Regression 3
ACPBench: Reasoning About Action, Change, and Planning 4
AD4CD: Causal-Guided Anomaly Detection for Enhancing Cognitive Diagnosis 4
ADBA: Approximation Decision Boundary Approach for Black-Box Adversarial Attacks 7
ADELA: Accelerating Evolutionary Design of Machine Learning Pipelines with the Accompanying Surrogate Model 7
AE-NeRF: Augmenting Event-Based Neural Radiance Fields for Non-ideal Conditions and Larger Scenes 1
AFFAKT: A Hierarchical Optimal Transport Based Method for Affective Facial Knowledge Transfer in Video Deception Detection 5
AFiRe: Anatomy-Driven Self-Supervised Learning for Fine-Grained Representation in Radiographic Images 5
AGFSync: Leveraging AI-Generated Feedback for Preference Optimization in Text-to-Image Generation 3
AGLLDiff: Guiding Diffusion Models Towards Unsupervised Training-free Real-world Low-light Image Enhancement 5
AGMixup: Adaptive Graph Mixup for Semi-supervised Node Classification 3
AI-Powered Algorithm-Centric Quantum Processor Topology Design 4
AI-generated Image Quality Assessment in Visual Communication 4
AIA: Autoregression-Based Injection Attacks Against Text2SQL Models 3
AIF-SFDA: Autonomous Information Filter Driven Source-Free Domain Adaptation for Medical Image Segmentation 4
AIM: Additional Image Guided Generation of Transferable Adversarial Attacks 3
AIM: Let Any Multimodal Large Language Models Embrace Efficient In-Context Learning 5
AIQViT: Architecture-Informed Post-Training Quantization for Vision Transformers 3
AIR: Unifying Individual and Collective Exploration in Cooperative Multi-Agent Reinforcement Learning 3
ALADE-SNN: Adaptive Logit Alignment in Dynamically Expandable Spiking Neural Networks for Class Incremental Learning 4
ALLVB: All-in-One Long Video Understanding Benchmark 4
ALTBI: Constructing Improved Outlier Detection Models via Optimization of Inlier-Memorization Effect 4
APIRL: Deep Reinforcement Learning for REST API Fuzzing 3
APKGC: Noise-enhanced Multi-Modal Knowledge Graph Completion with Attention Penalty 5
APR-RD: Complemental Two Steps for Self-Supervised Real Image Denoising 4
AQUAFace: Age-Invariant Quality Adaptive Face Recognition for Unconstrained Selfie vs ID Verification 5
ARNet: Self-Supervised FG-SBIR with Unified Sample Feature Alignment and Multi-Scale Token Recycling 5
ARTICLE: Annotator Reliability Through In-Context Learning 5
AS-Det: Active Sampling for Adaptive 3D Object Detection in Point Clouds 3
ASER: Activation Smoothing and Error Reconstruction for Large Language Model Quantization 4
ASP-Driven Emergency Planning for Norm Violations in Reinforcement Learning 6
AUTE: Peer-Alignment and Self-Unlearning Boost Adversarial Robustness for Training Ensemble Models 4
AWRaCLe: All-Weather Image Restoration Using Visual In-Context Learning 4
Accelerated Diffusion via High-Low Frequency Decomposition for Pan-Sharpening 3
Accelerated Methods with Compressed Communications for Distributed Optimization Problems Under Data Similarity 3
Accurate Estimation of Feature Importance Faithfulness for Tree Models 6
Accurate Link Prediction for Edge-Incomplete Graphs via PU Learning 5
Accurate Nucleic Acid-Binding Residue Identification Based Domain-Adaptive Protein Language Model and Explainable Geometric Deep Learning 5
Accurate and Regret-Aware Numerical Problem Solver for Tabular Question Answering 6
Achieving Balanced Representation in School Choice with Diversity Goals 1
Achieving Ensemble-Like Performance in a Single Model: A Feature Diversification Framework for Image-Text Matching 4
Achieving Lightweight Super-Resolution for Real-Time Computer Graphics 5
Achieving Maximin Share and EFX/EF1 Guarantees Simultaneously 1
Achieving Speed-Accuracy Balance in Vision-based 3D Occupancy Prediction via Geometric-Semantic Disentanglement 5
Action-Agnostic Point-Level Supervision for Temporal Action Detection 3
Active Fourier Auditor for Estimating Distributional Properties of ML Models 3
Active Large Language Model-Based Knowledge Distillation for Session-Based Recommendation 4
Active Reinforcement Learning Strategies for Offline Policy Improvement 4
Active Symbolic Discovery of Ordinary Differential Equations via Phase Portrait Sketching 2
AdaCo: Overcoming Visual Foundation Model Noise in 3D Semantic Segmentation via Adaptive Label Correction 5
AdaDPCC: Adaptive Rate Control and Rate-Distortion-Complexity Optimization for Dynamic Point Cloud Compression 4
AdaDiff: Adaptive Step Selection for Fast Diffusion Models 5
AdaGK-SGD: Adaptive Global Knowledge Guided Distributed Stochastic Gradient Descent 5
AdaO2B: Adaptive Online to Batch Conversion for Out-of-Distribution Generalization 3
AdaSkip: Adaptive Sublayer Skipping for Accelerating Long-Context LLM Inference 4
Adapting to Non-Stationary Environments: Multi-Armed Bandit Enhanced Retrieval-Augmented Generation on Knowledge Graphs 4
Adaptive Calibration: A Unified Conversion Framework of Spiking Neural Networks 3
Adaptive Dataset Quantization 5
Adaptive Decision Boundary for Few-Shot Class-Incremental Learning 3
Adaptive Draft-Verification for Efficient Large Language Model Decoding 4
Adaptive Dual Guidance Knowledge Distillation 2
Adaptive Dual-domain Learning for Underwater Image Enhancement 3
Adaptive Few-shot Prompting for Machine Translation with Pre-trained Language Models 5
Adaptive Guidance: Training-free Acceleration of Conditional Diffusion Models 4
Adaptive Manipulation for Coalitions in Knockout Tournaments 0
Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting 4
Adaptive Multimodal Fusion: Dynamic Attention Allocation for Intent Recognition 3
Adaptive Prompt-Based Semantic Embedding with Inspire Potential of Implicit Knowledge for Cross-Modal Retrieval 5
Adaptive Prompting for Continual Relation Extraction: A Within-Task Variance Perspective 4
Adaptive Prototype Replay for Class Incremental Semantic Segmentation 5
Adaptive Sampling to Reduce Epistemic Uncertainty Using Prediction Interval-Generation Neural Networks 3
Adaptive Siamese Masked Autoencoder with Global Optimization for Unsupervised Point Cloud Shape Correspondence 5
Adaptive Wavelet-Positional Encoding for High-Frequency Information Learning in Implicit Neural Representation 4
Adaptive-Grained Label Distribution Learning 4
Addressing Cold-Start Problem in Click-Through Rate Prediction via Supervised Diffusion Modeling 5
Addressing Multi-Label Learning with Partial Labels: From Sample Selection to Label Selection 5
AdvDisplay: Adversarial Display Assembled by Thermoelectric Cooler for Fooling Thermal Infrared Detectors 5
Advancing Audio-Based Text Generation with Imbalance Preference Optimization 3
Advancing Comprehensive Aesthetic Insight with Multi-Scale Text-Guided Self-Supervised Learning 4
Advancing Loss Functions in Recommender Systems: A Comparative Study with a Rényi Divergence-Based Solution 4
Advancing Retrosynthesis with Retrieval-Augmented Graph Generation 4
Advancing Spiking Neural Networks Towards Multiscale Spatiotemporal Interaction Learning 3
Adversarial Attacks on Event-Based Pedestrian Detectors: A Physical Approach 4
Adversarial Contrastive Graph Augmentation with Counterfactual Regularization 5
Adversarial Contrastive Graph Masked AutoEncoder Against Graph Structure and Feature Dual Attacks 5
Adversarial Learning Under Hybrid Perturbations for Robust Acute Lymphoblastic Leukemia Classification 4
Adversarial-Inspired Backdoor Defense via Bridging Backdoor and Adversarial Attacks 4
Adversity-aware Few-shot Named Entity Recognition via Augmentation Learning 5
AeroGTO: An Efficient Graph-Transformer Operator for Learning Large-Scale Aerodynamics of 3D Vehicle Geometries 4
Aerodynamic Coefficients Prediction via Cross-Attention Fusion and Physical-Informed Training 5
Affordances-Oriented Planning Using Foundation Models for Continuous Vision-Language Navigation 3
Against All Odds: Overcoming Typology, Script, and Language Confusion in Multilingual Embedding Inversion Attacks 5
Agent4Edu: Generating Learner Response Data by Generative Agents for Intelligent Education Systems 4
AgentMixer: Multi-Agent Correlated Policy Factorization 4
Aligning Composed Query with Image via Discriminative Perception from Negative Correspondences 4
Aligning Instance Brownian Bridge with Texts for Open-Vocabulary Video Instance Segmentation 3
Aligning Language Models Using Follow-up Likelihood as Reward Signal 4
Aligning and Prompting Anything for Zero-Shot Generalized Anomaly Detection 6
Alignment of CNN and Human Judgments of Geometric and Topological Concepts 2
Alignment-Free RGB-T Salient Object Detection: A Large-Scale Dataset and Progressive Correlation Network 5
All You Need in Knowledge Distillation Is a Tailored Coordinate System 4
All-in-One: Transferring Vision Foundation Models into Stereo Matching 4
Alleviate and Mining: Rethinking Unsupervised Domain Adaptation for Mitochondria Segmentation from Pseudo-Label Perspective 4
Alleviating Performance Disparity in Adversarial Spatiotemporal Graph Learning Under Zero-Inflated Distribution 1
Alleviating Shifted Distribution in Human Preference Alignment through Meta-Learning 5
AlphaForge: A Framework to Mine and Dynamically Combine Formulaic Alpha Factors 4
Ambiguity-Restrained Text-Video Representation Learning for Partially Relevant Video Retrieval 4
Ambiguous Instance-Aware Contrastive Network with Multi-Level Matching for Multi-View Document Clustering 3
Amplifier: Bringing Attention to Neglected Low-Energy Components in Time Series Forecasting 4
An Algebraic Notion of Conditional Independence, and Its Application to Knowledge Representation 0
An Alternative Theory of Stable Revision for Nondeterministic Approximation Fixpoint Theory and the Relationships 0
An And-Sum Circuit with Signed Edges That Is More Succinct than SDD 1
An Automatic Sound and Complete Abstraction Method for Generalized Planning with Baggable Types 4
An Efficient Framework for Enhancing Discriminative Models via Diffusion Techniques 5
An Efficient and Accurate Dynamic Sparse Training Framework Based on Parameter-Freezing 6
An Elite-guided Weighted Simulated Annealing Algorithm for the Clique Partitioning Problem 5
An Enhanced Levenberg--Marquardt Method via Gram Reduction 5
An Evaluation Framework for Product Images Background Inpainting Based on Human Feedback and Product Consistency 3
An Exemplar-based Framework for Chinese Text Recognition 5
An Extension-Based Argument-Ranking Semantics: Social Rankings in Abstract Argumentation 0
An Information-theoretic Multi-task Representation Learning Framework for Natural Language Understanding 5
An Item Is Worth a Prompt: Versatile Image Editing with Disentangled Control 2
An LLM-Empowered Adaptive Evolutionary Algorithm for Multi-Component Deep Learning Systems 3
An Open-Ended Learning Framework for Opponent Modeling 2
An Optimal Transport-based Latent Mixer for Robust Multi-modal Learning 4
AnalogCoder: Analog Circuit Design via Training-Free Code Generation 4
Analytical-Chemistry-Informed Transformer for Infrared Spectra Modeling 5
Anatomical Knowledge Mining and Matching for Semi-supervised Medical Multi-structure Detection 5
Anchor Learning with Potential Cluster Constraints for Multi-view Clustering 4
Anchor Search: A Unified Framework for Suboptimal Bidirectional Search 5
AnchorInv: Few-Shot Class-Incremental Learning of Physiological Signals via Feature Space-Guided Inversion 5
Answering Conjunctive Queries with Safe Negation and Inequalities over RDFS Knowledge Bases 0
Anti-Diffusion: Preventing Abuse of Modifications of Diffusion-Based Models 3
AnyTalk: Multi-modal Driven Multi-domain Talking Head Generation 1
Anytime Multi-Agent Path Finding with an Adaptive Delay-Based Heuristic 5
Anywhere: A Multi-Agent Framework for User-Guided, Reliable, and Diverse Foreground-Conditioned Image Generation 2
AoP-SAM: Automation of Prompts for Efficient Segmentation 3
Apollo-Forecast: Overcoming Aliasing and Inference Speed Challenges in Language Models for Time Series Forecasting 4
Approximate Bilevel Difference Convex Programming for Bayesian Risk Markov Decision Processes 1
Approximate State Abstraction for Markov Games 3
Approximated Variational Bayesian Inverse Reinforcement Learning for Large Language Model Alignment 3
Approximating Metric Magnitude of Point Sets 5
Approximating Optimal Labelings for Temporal Connectivity 0
Arbitrary Reading Order Scene Text Spotter with Local Semantics Guidance 3
Architecture-Aware Learning Curve Extrapolation via Graph Ordinary Differential Equation 4
Are Key-Phrases All That Reviewers Care About? A Comprehensive Benchmarking of Reviewer Matchmaking Systems 3
Argumentative Large Language Models for Explainable and Contestable Claim Verification 6
As Pseudo-Label Free as Possible: Leveraging Adaptive Feature Generation for Sparsely Annotated Object Detection 6
Aspect Enhancement and Text Simplification in Multimodal Aspect-Based Sentiment Analysis for Multi-Aspect and Multi-Sentiment Scenarios 6
Assessing Modality Bias in Video Question Answering Benchmarks with Multimodal Large Language Models 2
Assessing Pre-Trained Models for Transfer Learning Through Distribution of Spectral Components 1
Assessing the Creativity of LLMs in Proposing Novel Solutions to Mathematical Problems 4
Association Pattern-enhanced Molecular Representation Learning 4
Asymmetric Cross-Modal Hashing Based on Formal Concept Analysis 5
Asymmetric Hierarchical Difference-aware Interaction Network for Event-guided Motion Deblurring 5
Asymmetric Learning for Spectral Graph Neural Networks 5
Asymmetric Reinforcing Against Multi-Modal Representation Bias 4
Asymmetric Visual Semantic Embedding Framework for Efficient Vision-Language Alignment 4
Asymptotic Extinction in Large Coordination Games 2
Asymptotic Unbiased Sample Sampling to Speed Up Sharpness-Aware Minimization 5
AsyncDSB: Schedule-Asynchronous Diffusion Schrödinger Bridge for Image Inpainting 3
Asynchronous Distributed Gaussian Process Regression 4
Asynchronous Federated Clustering with Unknown Number of Clusters 5
AtomNet: Designing Tiny Models from Operators Under Extreme MCU Constraints 3
Attack on Prompt: Backdoor Attack in Prompt-Based Continual Learning 3
Attack-in-the-Chain: Bootstrapping Large Language Models for Attacks Against Black-Box Neural Ranking Models 5
Attack-inspired Calibration Loss for Calibrating Crack Recognition 4
AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples 6
Attend and Enrich: Enhanced Visual Prompt for Zero-Shot Learning 5
Attention Bootstrapping for Multi-Modal Test-Time Adaptation 4
Attention-Driven GUI Grounding: Leveraging Pretrained Multimodal Large Language Models Without Fine-Tuning 4
Attention-Imperceptible Backdoor Attacks on Vision Transformers 3
Attentive Eraser: Unleashing Diffusion Model’s Object Removal Potential via Self-Attention Redirection Guidance 2
Attribute Inference Attacks for Federated Regression Tasks 5
Attribution Analysis Meets Model Editing: Advancing Knowledge Correction in Vision Language Models with VisEdit 3
Attributive Reasoning for Hallucination Diagnosis of Large Language Models 4
Audio Entailment: Assessing Deductive Reasoning for Audio Understanding 3
Audio-Visual Adaptive Fusion Network for Question Answering Based on Contrastive Learning 3
AudioGenX: Explainability on Text-to-Audio Generative Models 5
Auditing and Enforcing Conditional Fairness via Optimal Transport 3
AugRefer: Advancing 3D Visual Grounding via Cross-Modal Augmentation and Spatial Relation-based Referring 4
Augmenting Math Word Problems via Iterative Question Composing 6
Augmenting Online Algorithms for Knapsack Problem with Total Weight Information 1
Augmenting Sequential Recommendation with Balanced Relevance and Diversity 4
Auto Encoding Neural Process for Multi-interest Recommendation 5
Auto-Regressive Diffusion for Generating 3D Human-Object Interactions 4
Auto-Regressive Moving Diffusion Models for Time Series Forecasting 4
AutoFEA: Enhancing AI Copilot by Integrating Finite Element Analysis Using Large Language Models with Graph Neural Networks 4
AutoMMLab: Automatically Generating Deployable Models from Language Instructions for Computer Vision Tasks 3
AutoSGNN: Automatic Propagation Mechanism Discovery for Spectral Graph Neural Networks 5
AutoSciLab: A Self-Driving Laboratory for Interpretable Scientific Discovery 1
Automated Creation of Reusable and Diverse Toolsets for Enhancing LLM Reasoning 5
Automatic Selection of Macro-Events for Heuristic-Search Temporal Planning 6
Automatically Generating Numerous Context-Driven SFT Data for LLMs Across Diverse Granularity 4
Autonomous Goal Detection and Cessation in Reinforcement Learning: A Case Study on Source Term Estimation 3
Autonomous LLM-Enhanced Adversarial Attack for Text-to-Motion 3
Autonomous Option Invention for Continual Hierarchical Reinforcement Learning and Planning 4
Autoregressive Sequence Modeling for 3D Medical Image Representation 3
A²RNet: Adversarial Attack Resilient Network for Robust Infrared and Visible Image Fusion 5
B2Opt: Learning to Optimize Black-box Optimization with Little Budget 4
BEE: Metric-Adapted Explanations via Baseline Exploration-Exploitation 5
BERT-Based Code Learning for Exception Localization and Type Prediction 1
BEV-TSR: Text-Scene Retrieval in BEV Space for Autonomous Driving 2
BEVSync: Asynchronous Data Alignment for Camera-based Vehicle-Infrastructure Cooperative Perception Under Uncertain Delays 4
BGDB: Bernoulli-Gaussian Decision Block with Improved Denoising Diffusion Probabilistic Models 5
BGHR: Bridging the Gap Between HBox-Supervised and RBox-Supervised Oriented Object Detection via Adaptive Fine-Grained Sample Mining 4
BIG-FUSION: Brain-Inspired Global-Local Context Fusion Framework for Multimodal Emotion Recognition in Conversations 4
BLADE: Enhancing Black-Box Large Language Models with Small Domain-Specific Models 3
BLS-GAN: A Deep Layer Separation Framework for Eliminating Bone Overlap in Conventional Radiographs 5
BOIDS: High-Dimensional Bayesian Optimization via Incumbent-Guided Direction Lines and Subspace Embeddings 4
BSAFusion: A Bidirectional Stepwise Feature Alignment Network for Unaligned Medical Image Fusion 5
BSDB-Net: Band-Split Dual-Branch Network with Selective State Spaces Mechanism for Monaural Speech Enhancement 3
BUFF: Bayesian Uncertainty Guided Diffusion Probabilistic Model for Single Image Super-Resolution 4
Backdoor Attack on Propagation-based Rumor Detectors 4
Backdoor Attacks Against No-Reference Image Quality Assessment Models via a Scalable Trigger 5
Backdoor Token Unlearning: Exposing and Defending Backdoors in Pretrained Language Models 3
Bagging-Expert Network for Multi-Task Learning: A Depolarization Solution in Multi-Gate Mixture-of-Experts 4
Balanced Adaptive Subspace Collaboration for Mixed Pareto-Lexicographic Multi-Objective Problems with Priority Levels 4
Balanced and Fair Partitioning of Friends 0
Balancing Privacy and Performance: A Many-in-One Approach for Image Anonymization 5
Batch Ensemble for Variance Dependent Regret in Stochastic Bandits 3
Batch Selection for Multi-Label Classification Guided by Uncertainty and Dynamic Label Correlations 6
Battling the Non-stationarity in Time Series Forecasting via Test-time Adaptation 4
BayesCNS: A Unified Bayesian Approach to Address Cold Start and Non-Stationarity in Search Systems at Scale 3
Bayesian Low-Rank Learning (Bella): A Practical Approach to Bayesian Neural Networks 3
Bayesian Optimization for Unknown Cost-Varying Variable Subsets with No-Regret Costs 3
Bayesian Persuasion with Externalities: Exploiting Agent Types 0
BeFA: A General Behavior-driven Feature Adapter for Multimedia Recommendation 4
BearLLM: A Prior Knowledge-Enhanced Bearing Health Management Framework with Unified Vibration Signal Representation 6
Behavior Importance-Aware Graph Neural Architecture Search for Cross-Domain Recommendation 4
Behaviour Preference Regression for Offline Reinforcement Learning 3
Benchmarking and Understanding Compositional Relational Reasoning of LLMs 3
Better Understandings and Configurations in MaxSAT Stochastic Local Search Solvers via Anytime Performance Analysis 6
Beyond Federated Prototype Learning: Learnable Semantic Anchors with Hyperspherical Contrast for Domain-Skewed Data 4
Beyond Graph Convolution: Multimodal Recommendation with Topology-aware MLPs 3
Beyond Homophily: Graph Contrastive Learning with Macro-Micro Message Passing 4
Beyond Human Data: Aligning Multimodal Large Language Models by Iterative Self-Evolution 3
Beyond IID: Optimizing Instruction Finetuning from the Perspective of Instruction Interaction and Dependency 4
Beyond Mandatory Federations: Balancing Egoism, Utilitarianism and Egalitarianism in Mixed-Motive Games 4
Beyond Monotonicity: On the Convergence of Learning Algorithms in Standard Auction Games 1
Beyond Pixel and Object: Part Feature as Reference for Few-Shot Video Object Segmentation 3
Beyond Prompt Engineering: A Reinforced Token-Level Input Refinement for Large Language Models 4
Beyond Single Emotion: Multi-label Approach to Conversational Emotion Recognition 4
Beyond Skip Connection: Pooling and Unpooling Design for Elimination Singularities 4
Beyond Spatial Domain: Cross-domain Promoted Fourier Convolution Helps Single Image Dehazing 4
Beyond Text: Fine-Grained Multi-Modal Fact Verification with Hypergraph Transformers 3
BeyondGender: A Multifaceted Bilingual Dataset for Practical Sexism Detection 4
Bi-Directional Multi-Scale Graph Dataset Condensation via Information Bottleneck 5
Bi-Level Optimization for Semi-Supervised Learning with Pseudo-Labeling 4
Bi-level Contrastive Learning for Knowledge-Enhanced Molecule Representations 4
BiDeV: Bilateral Defusing Verification for Complex Claim Fact-Checking 4
BiMAC: Bidirectional Multimodal Alignment in Contrastive Learning 5
Biased Incomplete Multi-View Learning 3
Bidirectional Logits Tree: Pursuing Granularity Reconcilement in Fine-Grained Classification 3
BigMac: A Communication-Efficient Mixture-of-Experts Model Structure for Fast Training and Inference 3
BindGPT: A Scalable Framework for 3D Molecular Design via Language Modeling and Reinforcement Learning 4
Bites of Tomorrow: Personalized Recommendations for a Healthier and Greener Plate 4
Black-Box Test-Time Prompt Tuning for Vision-Language Models 5
Blend the Separated: Mixture of Synergistic Experts for Data-Scarcity Drug-Target Interaction Prediction 3
Block-Based Multi-Scale Image Rescaling 5
BloomScene: Lightweight Structured 3D Gaussian Splatting for Crossmodal Scene Generation 3
Boosting Consistency in Story Visualization with Rich-Contextual Conditional Diffusion Models 5
Boosting Fine-Grained Visual Anomaly Detection with Coarse-Knowledge-Aware Adversarial Learning 3
Boosting Image De-Raining via Central-Surrounding Synergistic Convolution 3
Boosting Multimodal Large Language Models with Visual Tokens Withdrawal for Rapid Inference 4
Boosting Segment Anything Model Towards Open-Vocabulary Learning 3
Boosting Short Text Classification with Multi-Source Information Exploration and Dual-Level Contrastive Learning 3
Boosting Test Performance with Importance Sampling--a Subpopulation Perspective 4
Boosting ViT-based MRI Reconstruction from the Perspectives of Frequency Modulation, Spatial Purification, and Scale Diversification 4
Boosting Vision State Space Model with Fractal Scanning 3
Bootstraping Clustering of Gaussians for View-consistent 3D Scene Understanding 6
Bootstrapped Reward Shaping 3
Bootstrapping Heterogeneous Graph Representation Learning via Large Language Models: A Generalized Approach 3
BotSim: LLM-Powered Malicious Social Botnet Simulation 4
Both Supply and Precision: Sample Debias and Ranking Consistency Joint Learning for Large Scale Pre-Ranking System 0
Boundary Decomposition for Finding Nadir Objective Vector in Multi-Objective Discrete Optimization 6
Boundary-Aware Temporal Dynamic Pseudo-Supervision Pairs Generation for Zero-Shot Natural Language Video Localization 5
Bounded Rationality Equilibrium Learning in Mean Field Games 3
Braess’s Paradox of Generative AI 0
BrainGuard: Privacy-Preserving Multisubject Image Reconstructions from Brain Activities 3
BrainMAP: Learning Multiple Activation Pathways in Brain Networks 2
Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature 3
Breaking Barriers: A Paradigm Shift in Technology Accessibility for Individuals with Physical Disabilities 3
Breaking Data Silos in Parkinson’s Disease Diagnosis: An Adaptive Federated Learning Approach for Privacy-Preserving Facial Expression Analysis 6
Breaking Information Isolation: Accelerating MRI via Inter-sequence Mapping and Progressive Masking 5
Breaking Symmetries in Quantified Graph Search: A Comparative Study 5
Bridge 2D-3D: Uncertainty-aware Hierarchical Registration Network with Domain Alignment 4
Bridge Diffusion Model: Bridge Chinese Text-to-Image Diffusion Model with English Communities 5
Bridge Then Begin Anew: Generating Target-Relevant Intermediate Model for Source-Free Visual Emotion Adaptation 2
Bridging Knowledge Gap Between Image Inpainting and Large-Area Visible Watermark Removal 4
Bridging Traffic State and Trajectory for Dynamic Road Network and Trajectory Representation Learning 3
Bridging Training and Execution via Dynamic Directed Graph-Based Communication in Cooperative Multi-Agent Systems 2
Bridging the Gap Between Hyperdimensional Computing and Kernel Methods via the Nyström Method 6
Bridging the Gap for Test-Time Multimodal Sentiment Analysis 3
Bridging the Semantic Granularity Gap Between Text and Frame Representations for Partially Relevant Video Retrieval 3
Bridging the User-side Knowledge Gap in Knowledge-aware Recommendations with Large Language Models 5
Bright-NeRF: Brightening Neural Radiance Field with Color Restoration from Low-Light RAW Images 1
Building a Multi-modal Spatiotemporal Expert for Zero-shot Action Recognition with CLIP 4
C2F-TP: A Coarse-to-Fine Denoising Framework for Uncertainty-Aware Trajectory Prediction 5
C2P-CLIP: Injecting Category Common Prompt in CLIP to Enhance Generalization in Deepfake Detection 4
C2PD: Continuity-Constrained Pixelwise Deformation for Guided Depth Super-Resolution 4
C3oT: Generating Shorter Chain-of-Thought Without Compromising Effectiveness 3
CA-Edit: Causality-Aware Condition Adapter for High-Fidelity Local Facial Attribute Editing 1
CA-MLIF: Cross-Attention and Multimodal Low-Rank Interaction Fusion Framework for Tumor Prognostic Prediction 5
CAD-GPT: Synthesising CAD Construction Sequence with Spatial Reasoning-Enhanced Multimodal LLMs 4
CAGE: Unsupervised Visual Composition and Animation for Controllable Video Generation 3
CAKE: Category Aware Knowledge Extraction for Open-Vocabulary Object Detection 4
CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning 4
CALLIC: Content Adaptive Learning for Lossless Image Compression 3
CAMH: Advancing Model Hijacking Attack in Machine Learning 4
CAMSIC: Content-aware Masked Image Modeling Transformer for Stereo Image Compression 5
CAPrompt: Cyclic Prompt Aggregation for Pre-Trained Model Based Class Incremental Learning 4
CASUAL: Conditional Support Alignment for Domain Adaptation with Label Shift 4
CDE-Learning: Camera Deviation Elimination Learning for Unsupervised Person Re-identification 5
CDTR: Semantic Alignment for Video Moment Retrieval Using Concept Decomposition Transformer 3
CDW-CoT: Clustered Distance-Weighted Chain-of-Thoughts Reasoning 5
CFDM: Contrastive Fusion and Disambiguation for Multi-View Partial-Label Learning 5
CG-TGAN: Conditional Generative Adversarial Networks with Graph Neural Networks for Tabular Data Synthesizing 3
CITI: Enhancing Tool Utilizing Ability in Large Language Models Without Sacrificing General Performance 2
CL-Attack: Textual Backdoor Attacks via Cross-Lingual Triggers 4
CLEP: A Novel Contrastive Learning Method for Evolutionary Reentrancy Vulnerability Detection 5
CLIMB-ReID: A Hybrid CLIP-Mamba Framework for Person Re-Identification 4
CLIP-MSM: A Multi-Semantic Mapping Brain Representation for Human High-Level Visual Cortex 4
CLIP-PCQA: Exploring Subjective-Aligned Vision-Language Modeling for Point Cloud Quality Assessment 4
CLIP-RestoreX: Restore Image Structure and Perception in Exposure Correction 5
CLIP-driven View-aware Prompt Learning for Unsupervised Vehicle Re-identification 4
CLNX: Bridging Code and Natural Language for C/C++ Vulnerability-Contributing Commits Identification 5
CMT: A Memory Compression Method for Continual Knowledge Learning of Large Language Models 4
CNC: Cross-modal Normality Constraint for Unsupervised Multi-class Anomaly Detection 5
COLUMBUS: Evaluating COgnitive Lateral Understanding Through Multiple-Choice reBUSes 4
COMM: Concentrated Margin Maximization for Robust Document-Level Relation Extraction 4
COMMIT: Certifying Robustness of Multi-Sensor Fusion Systems Against Semantic Attacks 3
COSEE: Consistency-Oriented Signal-Based Early Exiting via Calibrated Sample Weighting Mechanism 5
CP-DETR: Concept Prompt Guide DETR Toward Stronger Universal Object Detection 3
CP-Guard: Malicious Agent Detection and Defense in Collaborative Bird’s Eye View Perception 4
CREST: An Efficient Conjointly-trained Spike-driven Framework for Event-based Object Detection Exploiting Spatiotemporal Dynamics 4
CROSSNEWS: A Cross-Genre Authorship Verification and Attribution Benchmark 4
CSL-L2M: Controllable Song-Level Lyric-to-Melody Generation Based on Conditional Transformer with Fine-Grained Lyric and Musical Controls 3
CSR:Achieving 1 Bit Key-Value Cache via Sparse Representation 4
CSSinger: End-to-End Chunkwise Streaming Singing Voice Synthesis System Based on Conditional Variational Autoencoder 3
CUGF: A Reliable and Fair Recommendation Framework 5
CUQDS: Conformal Uncertainty Quantification Under Distribution Shift for Trajectory Prediction 5
CVLUE: A New Benchmark Dataset for Chinese Vision-Language Understanding Evaluation 3
CaRDiff: Video Salient Object Ranking Chain of Thought Reasoning for Saliency Prediction with Diffusion 3
Calibrated Disambiguation for Partial Multi-label Learning 6
Calibrating Large Language Models with Sample Consistency 3
Can Generative Models Improve Self-Supervised Representation Learning? 4
Can LLMs Obfuscate Code? A Systematic Analysis of Large Language Models into Assembly Code Obfuscation 3
Can LVLMs Obtain a Driver’s License? A Benchmark Towards Reliable AGI for Autonomous Driving 3
Can Large Language Models Derive High-Level Cognition from Low-Level and Fragmented Foundational Information? 4
Can Private Machine Learning Be Fair? 4
Can Students Beyond the Teacher? Distilling Knowledge from Teacher’s Bias 3
Can Watermarking Large Language Models Prevent Copyrighted Text Generation and Hide Training Data? 4
Can We Get Rid of Handcrafted Feature Extractors? SparseViT: Nonsemantics-Centered, Parameter-Efficient Image Manipulation Localization Through Spare-Coding Transformer 4
Capability Instruction Tuning 3
Capture Global Feature Statistics for One-Shot Federated Learning 5
Capturing the Unseen: Vision-Free Facial Motion Capture Using Inertial Measurement Units 4
CareBot: A Pioneering Full-Process Open-Source Medical Language Model 2
CasFT: Future Trend Modeling for Information Popularity Prediction with Dynamic Cues-Driven Diffusion Models 4
Cascaded Diffusion Models for Virtual Try-On: Improving Control and Resolution 3
Category Prompt Mamba Network for Nuclei Segmentation and Classification 4
Cauchy Diffusion: A Heavy-tailed Denoising Diffusion Probabilistic Model for Speech Synthesis 4
Causal Discovery by Interventions via Integer Programming 0
Causal Inference over Visual-Semantic-Aligned Graph for Image Classification 3
Causal Prompting: Debiasing Large Language Model Prompting Based on Front-Door Adjustment 2
Causal-Inspired Multitask Learning for Video-Based Human Pose Estimation 4
Causally Consistent Normalizing Flow 2
Certification of Speaker Recognition Models to Additive Perturbations 5
Certified Causal Defense with Generalizable Robustness 2
Certifying Bounds Propagation for Integer Multiplication Constraints 4
Chain-of-Instructions: Compositional Instruction Tuning on Large Language Models 3
ChangeDiff: A Multi-Temporal Change Detection Data Generator with Flexible Text Prompts via Diffusion Model 2
Channel Merging: Preserving Specialization for Merged Experts 4
CharacterBench: Benchmarking Character Customization of Large Language Models 1
Characterising Simulation-Based Program Equilibria 1
ChatTime: A Unified Multimodal Time Series Foundation Model Bridging Numerical and Textual Data 5
ChatterBox: Multimodal Referring and Grounding with Chain-of-Questions 5
Checking Consistency of CP-Theory Preferences in Polynomial Time 0
ChemVLM: Exploring the Power of Multimodal Large Language Models in Chemistry Area 4
Cherry-Picking in Time Series Forecasting: How to Select Datasets to Make Your Model Shine 2
CiTrus: Squeezing Extra Performance out of Low-data Bio-signal Transfer Learning 4
Cirbo: A New Tool for Boolean Circuit Analysis and Synthesis 3
Citations and Trust in LLM Generated Responses 4
Class Semantic Attribute Perception Guided Zero-Shot Learning 3
Class and Attribute-Aware Logit Adjustment for Generalized Long-Tail Learning 2
Click2Mask: Local Editing with Dynamic Mask Generation 3
Cluster-guided Contrastive Class-imbalanced Graph Classification 4
Co-Dream: Collaborative Dream Synthesis over Decentralized Models 5
Co-Progression Knowledge Distillation with Knowledge Prototype for Industrial Anomaly Detection 4
CoCoCo: Improving Text-Guided Video Inpainting for Better Consistency, Controllability and Compatibility 5
CoDTS: Enhancing Sparsely Supervised Collaborative Perception with a Dual Teacher-Student Framework 4
CoDe: Communication Delay-Tolerant Multi-Agent Collaboration via Dual Alignment of Intent and Timeliness 2
CoDeR: Counterfactual Demand Reasoning for Sequential Recommendation 2
CoMT: A Novel Benchmark for Chain of Multi-modal Thought on Large Vision-Language Models 2
CoPEFT: Fast Adaptation Framework for Multi-Agent Collaborative Perception with Parameter-Efficient Fine-Tuning 5
CoPRA: Bridging Cross-domain Pretrained Sequence Models with Complex Structures for Protein-RNA Binding Affinity Prediction 5
CoRA: Collaborative Information Perception by Large Language Model’s Weights for Recommendation 4
CoRe: Context-Regularized Text Embedding Learning for Text-to-Image Personalization 2
CoSDA: Enhancing the Robustness of Inversion-based Generative Image Watermarking Framework 4
CoT4Rec: Revealing User Preferences Through Chain of Thought for Recommender Systems 5
Cobra: Extending Mamba to Multi-Modal Large Language Model for Efficient Inference 5
Code-switching Mediated Sentence-level Semantic Learning 4
CodeHalu: Investigating Code Hallucinations in LLMs via Execution-based Verification 6
Codec Does Matter: Exploring the Semantic Shortcoming of Codec for Audio Language Model 5
CodecNeRF: Toward Fast Encoding and Decoding, Compact, and High-quality Novel-view Synthesis 4
CoffeeBoost: Gradient Boosting Native Conformal Inference for Bayesian Optimization 4
CogSQL: A Cognitive Framework for Enhancing Large Language Models in Text-to-SQL Translation 5
CognTKE: A Cognitive Temporal Knowledge Extrapolation Framework 2
CognitionCapturer: Decoding Visual Stimuli from Human EEG Signal with Multimodal Information 5
Cognitive Fluctuations Enhanced Attention Network for Knowledge Tracing 2
CohEx: A Generalized Framework for Cohort Explanation 4
Coherency Improved Explainable Recommendation via Large Language Model 5
Collaborative Evolution: Multi-Round Learning Between Large and Small Language Models for Emergent Fake News Detection 5
Collaborative Learning for 3D Hand-Object Reconstruction and Compositional Action Recognition from Egocentric RGB Videos Using Superquadrics 3
Collaborative Semantic Consistency Alignment for Blended-Target Domain Adaptation 4
Collaborative Similarity Fusion and Consistency Recovery for Incomplete Multi-view Clustering 6
CollageNoter: Real-Time and Adaptive Collage Layout Design for Screenshot-Based E-Note-Taking 3
Color Transfer with Modulated Flows 4
Column-Oriented Datalog on the GPU 5
Combating Multimodal LLM Hallucination via Bottom-Up Holistic Reasoning 1
Combating Semantic Contamination in Learning with Label Noise 3
Combining Priors with Experience: Confidence Calibration Based on Binomial Process Modeling 5
Commitment to Sparse Strategies in Two-Player Games 3
Common Sense Bias Modeling for Classification Tasks 3
Community-Aware Variational Autoencoder for Continuous Dynamic Networks 3
Community-Centric Graph Unlearning 4
Complete Symmetry Breaking for Finite Models 4
Complex-Cycle-Consistent Diffusion Model for Monaural Speech Enhancement 5
Compose with Me: Collaborative Music Inpainter for Symbolic Music Infilling 4
ComprehendEdit: A Comprehensive Dataset and Evaluation Framework for Multimodal Knowledge Editing 5
Comprehensive Multi-Modal Prototypes Are Simple and Effective Classifiers for Vast-Vocabulary Object Detection 5
Compressing Streamable Free-Viewpoint Videos to 0.1 MB per Frame 4
Computationally Hard Problems Are Hard for QBF Proof Systems Too 0
Computing Game Symmetries and Equilibria That Respect Them 0
Computing Perfect Bayesian Equilibria in Sequential Auctions with Verification 4
ConDSeg: A General Medical Image Segmentation Framework via Contrast-Driven Feature Enhancement 4
ConDo: Continual Domain Expansion for Absolute Pose Regression 5
ConFREE: Conflict-free Client Update Aggregation for Personalized Federated Learning 5
ConSense: Continually Sensing Human Activity with WiFi via Growing and Picking 5
ConVis: Contrastive Decoding with Hallucination Visualization for Mitigating Hallucinations in Multimodal Large Language Models 4
Concept Conductor: Orchestrating Multiple Personalized Concepts in Text-to-Image Synthesis 3
Concept Matching with Agent for Out-of-Distribution Detection 3
ConceptSearch: Towards Efficient Program Search Using LLMs for Abstraction and Reasoning Corpus (ARC) 6
Concurrent Planning and Execution in Lifelong Multi-Agent Path Finding with Delay Probabilities 5
Conditional Diffusion Models Based Conditional Independence Testing 4
Conditional Feature Importance with Generative Modeling Using Adversarial Random Forests 5
Conditional Latent Coding with Learnable Synthesized Reference for Deep Image Compression 4
Confidence Estimation for Error Detection in Text-to-SQL Systems 5
ConfigX: Modular Configuration for Evolutionary Algorithms via Multitask Reinforcement Learning 5
Configuring Data Augmentations to Reduce Variance Shift in Positional Embedding of Vision Transformers 4
Conformal Prediction for Partial Label Learning 5
Conformal Thresholded Intervals for Efficient Regression 5
Conformalized Interval Arithmetic with Symmetric Calibration 4
Confounding-Robust Deferral Policy Learning 4
Consistency of Compositional Generalization Across Multiple Levels 4
Consistent Query Answering over Existential Rules with Open and Closed Predicates 1
Constant-Factor Distortion Mechanisms for k-Committee Election 1
Constrained Fair and Efficient Allocations 1
Constrained Generative Modeling with Manually Bridged Diffusion Models 1
Constrained Offline Black-Box Optimization via Risk Evaluation and Management 3
Constraint-Adaptive Policy Switching for Offline Safe Reinforcement Learning 3
Constructing Fair Latent Space for Intersection of Fairness and Explainability 1
Content-aware Balanced Spectrum Encoding in Masked Modeling for Time Series Classification 3
Content-free Logical Modification of Large Language Model by Disentangling and Modifying Logic Representation 4
Context-aware Graph Neural Network for Graph-based Fraud Detection with Extremely Limited Labels 4
Context-aware Inductive Knowledge Graph Completion with Latent Type Constraints and Subgraph Reasoning 6
ContextHOI: Spatial Context Learning for Human-Object Interaction Detection 4
Contextual Structure Knowledge Transfer for Graph Neural Networks 4
ContextualStory: Consistent Visual Storytelling with Spatially-Enhanced and Storyline Context 5
Continual Learning Using a Kernel-Based Method Over Foundation Models 6
Continual Unsupervised Generative Modelling via Online Optimal Transport 5
Contract-based Design and Verification of Multi-Agent Systems with Quantitative Temporal Requirements 1
Contradicted in Reliable, Replicated in Unreliable: Dual-Source Reference for Fake News Early Detection 3
Contrasting Adversarial Perturbations: The Space of Harmless Perturbations 3
Contrastive Auxiliary Learning with Structure Transformation for Heterogeneous Graphs 4
Contrastive Functional Principal Component Analysis 4
Contrastive Representation for Interactive Recommendation 2
Controllable 3D Dance Generation Using Diffusion-Based Transformer U-Net 3
Controllable Distortion-Perception Tradeoff Through Latent Diffusion for Neural Image Compression 2
Controllable Protein Sequence Generation with LLM Preference Optimization 5
Controlling Equational Reasoning in Large Language Models with Prompt Interventions 5
Controlling Large Language Models Through Concept Activation Vectors 1
Convergence Analysis of Federated Learning Methods Using Backward Error Analysis 3
Convergence Rate in a Nonlinear Two-Time-Scale Stochastic Approximation with State (Time)-Dependence 1
Cooperative Policy Agreement: Learning Diverse Policy for Offline MARL 2
Core Knowledge Learning Framework for Graph 3
Core-to-Global Reasoning for Compositional Visual Question Answering 4
Correcting Large Language Model Behavior via Influence Function 3
Correlation-Attention Masked Temporal Transformer for User Identity Linkage Using Heterogeneous Mobility Data 5
Counterexample Guided Program Repair Using Zero-Shot Learning and MaxSAT-based Fault Localization 4
Counterfactual Debiasing for Physical Audiovisual Commonsense Reasoning 4
Counterfactual Identification Under Monotonicity Constraints 2
Counterfactual Online Learning for Open-Loop Monte-Carlo Planning 4
Counterfactual Task-augmented Meta-learning for Cold-start Sequential Recommendation 3
Counting and Reasoning with Plans 4
Coupling-based Convergence Diagnostic and Stepsize Scheme for Stochastic Gradient Descent 4
CrAM: Credibility-Aware Attention Modification in LLMs for Combating Misinformation in RAG 4
Cradle-VAE: Enhancing Single-Cell Gene Perturbation Modeling with Counterfactual Reasoning-based Artifact Disentanglement 4
CraftFactory: A Conditioned Control Policy Benchmark for Compositional Generalization 2
Creating Coherence in Federated Non-Negative Matrix Factorization 4
CriSPO: Multi-Aspect Critique-Suggestion-guided Automatic Prompt Optimization for Text Generation 2
Critical Forgetting-Based Multi-Scale Disentanglement for Deepfake Detection 3
Cross-Domain Trajectory Association Based on Hierarchical Spatiotemporal Enhanced Attention Hypergraph 3
Cross-Lingual Text-Rich Visual Comprehension: An Information Theory Perspective 3
Cross-Modal Few-Shot Learning with Second-Order Neural Ordinary Differential Equations 4
Cross-Modal Stealth: A Coarse-to-Fine Attack Framework for RGB-T Tracker 4
Cross-PCR: A Robust Cross-Source Point Cloud Registration Framework 2
Cross-Silo Feature Space Alignment for Federated Learning on Clients with Imbalanced Data 4
Cross-Spectral Gaussian Splatting with Spatial Occupancy Consistency 5
Cross-Validated Off-Policy Evaluation 5
Cross-View Graph Consistency Learning for Invariant Graph Representations 5
Cross-View Referring Multi-Object Tracking 6
Cross-modal Multi-task Learning for Multimedia Event Extraction 3
Cross-modulated Attention Transformer for RGBT Tracking 5
Crossfire: An Elastic Defense Framework for Graph Neural Networks Under Bit Flip Attacks 5
CryoDomain: Sequence-free Protein Domain Identification from Low-resolution Cryo-EM Density Maps 2
CtrlAvatar: Controllable Avatars Generation via Disentangled Invertible Networks 2
Cultivating Archipelago of Forests: Evolving Robust Decision Trees Through Island Coevolution 4
Curriculum Conditioned Diffusion for Multimodal Recommendation 2
CustomContrast: A Multilevel Contrastive Perspective for Subject-Driven Text-to-Image Customization 4
CustomCrafter: Customized Video Generation with Preserving Motion and Concept Composition Abilities 5
CustomTTT: Motion and Appearance Customized Video Generation via Test-Time Training 3
CyberPal.AI: Empowering LLMs with Expert-Driven Cybersecurity Instructions 2
Cycle3D: High-quality and Consistent Image-to-3D Generation via Generation-Reconstruction Cycle 5
D&M: Enriching E-commerce Videos with Sound Effects by Key Moment Detection and SFX Matching 5
DABL: Detecting Semantic Anomalies in Business Processes Using Large Language Models 5
DAMMFND: Domain-Aware Multimodal Multi-view Fake News Detection 5
DAMPER: A Dual-Stage Medical Report Generation Framework with Coarse-Grained MeSH Alignment and Fine-Grained Hypergraph Matching 4
DAPoinTr: Domain Adaptive Point Transformer for Point Cloud Completion 4
DARR: A Dual-Branch Arithmetic Regression Reasoning Framework for Solving Machine Number Reasoning 4
DASK: Distribution Rehearsing via Adaptive Style Kernel Learning for Exemplar-Free Lifelong Person Re-Identification 5
DC-PCN: Point Cloud Completion Network with Dual-Codebook Guided Quantization 4
DCA: Dividing and Conquering Amnesia in Incremental Object Detection 4
DCC: Differentiable Cardinality Constraints for Partial Index Tracking 4
DCHM: Dynamic Collaboration of Heterogeneous Models Through Isomerism Learning in a Blockchain-Powered Federated Learning Framework 4
DCILP: A Distributed Approach for Large-Scale Causal Structure Learning 3
DCSF-KD: Dynamic Channel-wise Spatial Feature Knowledge Distillation for Object Detection 5
DCTMamba: Advancing JPEG Image Restoration Through Long-Sequence Modeling and Adaptive Frequency Strategy 5
DDJND: Dual Domain Just Noticeable Difference in Multi-Source Content Images with Structural Discrepancy 4
DECIDER: Difference-aware Contrastive Diffusion Model with Adversarial Perturbations for Image Change Captioning 3
DECT: Harnessing LLM-assisted Fine-Grained Linguistic Knowledge and Label-Switched and Label-Preserved Data Generation for Diagnosis of Alzheimer’s Disease 5
DEEPTalk: Dynamic Emotion Embedding for Probabilistic Speech-Driven 3D Face Animation 2
DELTA: Pre-Train a Discriminative Encoder for Legal Case Retrieval via Structural Word Alignment 5
DEQA: Descriptions Enhanced Question-Answering Framework for Multimodal Aspect-Based Sentiment Analysis 5
DF-MIA: A Distribution-Free Membership Inference Attack on Fine-Tuned Large Language Models 4
DFDNet: Disentangling and Filtering Dynamics for Enhanced Video Prediction 2
DFF: Decision-Focused Fine-Tuning for Smarter Predict-Then-Optimize with Limited Data 2
DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models 3
DGFamba: Learning Flow Factorized State Space for Visual Domain Generalization 3
DHAKR: Learning Deep Hierarchical Attention-Based Kernelized Representations for Graph Classification 3
DHMoE: Diffusion Generated Hierarchical Multi-Granular Expertise for Stock Prediction 4
DIDiffGes: Decoupled Semi-Implicit Diffusion Models for Real-time Gesture Generation from Speech 4
DM-Adapter: Domain-Aware Mixture-of-Adapters for Text-Based Person Retrieval 5
DME-Driver: Integrating Human Decision Logic and 3D Scene Perception in Autonomous Driving 2
DMF-Net: Image-Guided Point Cloud Completion with Dual-Channel Modality Fusion and Shape-Aware Upsampling Transformer 4
DMT-RoleBench: A Dynamic Multi-Turn Dialogue Based Benchmark for Role-Playing Evaluation of Large Language Model and Agent 3
DOGE: LLMs-Enhanced Hyper-Knowledge Graph Recommender for Multimodal Recommendation 4
DOGR: Leveraging Document-Oriented Contrastive Learning in Generative Retrieval 5
DOMAINEVAL: An Auto-Constructed Benchmark for Multi-Domain Code Generation 4
DOMBA: Double Model Balancing for Access-Controlled Language Models via Minimum-Bounded Aggregation 5
DP-MemArc: Differential Privacy Transfer Learning for Memory Efficient Language Models 3
DPCL-Diff:Temporal Knowledge Graph Reasoning Based on Graph Node Diffusion Model with Dual-Domain Periodic Contrastive Learning 5
DPLUT: Unsupervised Low-light Image Enhancement with Lookup Tables and Diffusion Priors 4
DR-VAE: Debiased and Representation-enhanced Variational Autoencoder for Collaborative Recommendation 4
DREAM: Decoupled Discriminative Learning with Bigraph-aware Alignment for Semi-supervised 2D-3D Cross-modal Retrieval 3
DSGram: Dynamic Weighting Sub-Metrics for Grammatical Error Correction in the Era of Large Language Models 4
DSRC: Learning Density-Insensitive and Semantic-Aware Collaborative Representation Against Corruptions 5
DUO: Diverse, Uncertain, On-Policy Query Generation and Selection for Reinforcement Learning from Human Feedback 3
DUSTED: Dual-Attention Enhanced Spatial Transcriptomics Denoiser 4
DVP-MVS: Synergize Depth-Edge and Visibility Prior for Multi-View Stereo 4
DZAD: Diffusion-based Zero-shot Anomaly Detection 4
D^2-DPM: Dual Denoising for Quantized Diffusion Probabilistic Models 4
DanceFix: An Exploration in Group Dance Neatness Assessment Through Fixing Abnormal Challenges of Human Pose 5
Data Augmentation for Instruction Following Policies via Trajectory Segmentation 3
Data-Free Black-Box Federated Learning via Zeroth-Order Gradient Estimation 5
Data-Free Universal Attack by Exploiting the Intrinsic Vulnerability of Deep Models 5
De-singularity Subgradient for the q-th-Powered lₚ-Norm Weber Location Problem 4
DeCorrNet: Enhancing Neural Decoding Performance by Eliminating Correlations in Noise 5
DeMo: Decoupled Feature-Based Mixture of Experts for Multi-Modal Object Re-Identification 5
DeMo: Deep Motion Field Consensus with Learnable Kernels for Two-view Correspondence Learning 5
DeNC: Unleash Neural Codecs in Video Streaming with Diffusion Enhancement 3
DeRainGS: Gaussian Splatting for Enhanced Scene Reconstruction in Rainy Environments 3
DearLLM: Enhancing Personalized Healthcare via Large Language Models-Deduced Feature Correlations 3
Debate on Graph: A Flexible and Reliable Reasoning Framework for Large Language Models 5
Debiased Active Learning with Variational Gradient Rectifier 1
Debiased All-in-one Image Restoration with Task Uncertainty Regularization 2
Debiased Distillation for Consistency Regularization 5
Debiased Multimodal Understanding for Human Language Sequences 4
Decentralized Convergence to Equilibrium Prices in Trading Networks 3
Decentralized Projected Riemannian Stochastic Recursive Momentum Method for Nonconvex Optimization 3
Decentralized and Uncoordinated Learning of Stable Matchings: A Game-Theoretic Approach 1
Decomposed Quadratization: Efficient QUBO Formulation for Learning Bayesian Network 5
Decomposed Spatio-Temporal Mamba for Long-Term Traffic Prediction 4
Decomposing and Fusing Intra- and Inter-Sensor Spatio-Temporal Signal for Multi-Sensor Wearable Human Activity Recognition 5
Deconfound Semantic Shift and Incompleteness in Incremental Few-shot Semantic Segmentation 3
Decoupled Policy Actor-Critic: Bridging Pessimism and Risk Awareness in Reinforcement Learning 4
Decoupled Spatio-Temporal Consistency Learning for Self-Supervised Tracking 6
Decoupling Appearance Variations with 3D Consistent Features in Gaussian Splatting 4
Decoupling Metacognition from Cognition: A Framework for Quantifying Metacognitive Ability in LLMs 3
Decoupling Scattering: Pseudo-Label Guided NeRF for Scenes with Scattering Media 6
Deep Disentangled Metric Learning 1
Deep Evidential Hashing for Trustworthy Cross-Modal Retrieval 6
Deep Generative Model for Mechanical System Configuration Design 6
Deep Graph Online Hashing for Multi-Label Image Retrieval 5
Deep Hierarchies and Invariant Disease-Indicative Feature Learning for Computer Aided Diagnosis of Multiple Fundus Diseases 3
Deep Hypergraph Neural Networks with Tight Framelets 3
Deep Implicit Imitation Reinforcement Learning in Heterogeneous Action Settings 2
Deep Multi-modal Graph Clustering via Graph Transformer Network 3
Deep Non-Rigid Structure-from-Motion Revisited: Canonicalization and Sequence Modeling 4
Deep Rank-One Tensor Functional Factorization for Multi-Dimensional Data Recovery 2
Deep Reinforcement Learning with Time-Scale Invariant Memory 3
Deep Representation Learning for Forecasting Recursive and Multi-Relational Events in Temporal Networks 5
Deep Submodular Optimization and LLM for Multimodal Content Extraction and Automatic Poster Generation from Long Document 3
Deep-Union Completion 3
DeepSN: A Sheaf Neural Framework for Influence Maximization 2
Defeasible Visual Entailment: Benchmark, Evaluator, and Reward-Driven Optimization 3
Defending Against Sophisticated Poisoning Attacks with RL-based Aggregation in Federated Learning 5
Defense Against Model Stealing Based on Account-Aware Distribution Discrepancy 3
Dehaze-RetinexGAN: Real-World Image Dehazing via Retinex-based Generative Adversarial Network 4
Delay as Payoff in MAB 2
Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors 1
Dense Audio-Visual Event Localization Under Cross-Modal Consistency and Multi-Temporal Granularity Collaboration 4
Densely Connected Parameter-Efficient Tuning for Referring Image Segmentation 5
Densest k-Subgraph Mining via a Provably Tight Relaxation 5
DepMGNN: Matrixial Graph Neural Network for Video-based Automatic Depression Assessment 4
Depth-Centric Dehazing and Depth-Estimation from Real-World Hazy Driving Video 5
DepthFM: Fast Generative Monocular Depth Estimation with Flow Matching 4
Descriptive and Discriminative Document Identifiers for Generative Retrieval 3
Design Principle Transfer in Neural Architecture Search via Large Language Models 4
DesignEdit: Unify Spatial-Aware Image Editing via Training-free Inpainting with a Multi-Layered Latent Diffusion Framework 4
Designing Ambiguity Sets for Distributionally Robust Optimization Using Structural Causal Optimal Transport 2
Designing Specialized Two-Dimensional Graph Spectral Filters for Spatial-Temporal Graph Modeling 5
Destroy and Repair Using Hyper-Graphs for Routing 5
DetRF: Detachable Novel Views Synthesis of Dynamic Scenes Using Backdrop-Driven Neural Radiance Fields 4
Detail Matters: Mamba-Inspired Joint Unfolding Network for Snapshot Spectral Compressive Imaging 4
Details Enhancement in Unsigned Distance Field Learning for High-fidelity 3D Surface Reconstruction 3
Detecting Music Performance Errors with Transformers 6
Detecting and Corrupting Convolution-based Unlearnable Examples 4
Detecting and Mitigating Hallucination in Large Vision Language Models via Fine-Grained AI Feedback 2
Deterministic Policy Gradient Primal-Dual Methods for Continuous-Space Constrained MDPs 2
Deviate or Not: Learning Coalition Structures with Multiple-bit Observations in Games 1
DiCA: Disambiguated Contrastive Alignment for Cross-Modal Retrieval with Partial Labels 5
DiMSOD: A Diffusion-Based Framework for Multi-Modal Salient Object Detection 4
DiT4Edit: Diffusion Transformer for Image Editing 3
DialogDraw: Image Generation and Editing System Based on Multi-Turn Dialogue 3
Diff-Shadow: Global-guided Diffusion Model for Shadow Removal 6
DiffCLIP: Few-shot Language-driven Multimodal Classifier 5
DiffCalib: Reformulating Monocular Camera Calibration as Diffusion-Based Dense Incident Map Generation 5
DiffCorr: Conditional Diffusion Model with Reliable Pseudo-Label Guidance for Unsupervised Point Cloud Shape Correspondence 5
DiffDVC: Accurate Event Detection for Dense Video Captioning via Diffusion Models 3
DiffExp: Efficient Exploration in Reward Fine-tuning for Text-to-Image Diffusion Models 2
DiffGrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model 3
DiffIM: Differentiable Influence Minimization with Surrogate Modeling and Continuous Relaxation 5
DiffRetouch: Using Diffusion to Retouch on the Shoulder of Experts 3
DiffScene: Diffusion-Based Safety-Critical Scenario Generation for Autonomous Vehicles 3
Differentiable Adversarial Attacks for Marked Temporal Point Processes 3
Differentiable Information Enhanced Model-Based Reinforcement Learning 3
Differential Alignment for Domain Adaptive Object Detection 5
Differential Private Stochastic Optimization with Heavy-tailed Data: Towards Optimal Rates 1
Difficulty-aware Balancing Margin Loss for Long-tailed Recognition 4
DiffuseHigh: Training-Free Progressive High-Resolution Image Synthesis Through Structure Guidance 5
Diffusion Model Patching via Mixture-of-Prompts 3
Diffusion Models for Attribution 3
Diffusion Prior Interpolation for Flexibility Real-World Face Super-Resolution 3
Diffusion-Based Active Learning for Distributed Client Manifolds 4
Diffusion-based Semantic Outlier Generation via Nuisance Awareness for Out-of-Distribution Detection 2
Diffusion-based Synthetic Data Generation for Visible-Infrared Person Re-Identification 2
DiffusionREC: Diffusion Model with Adaptive Condition for Referring Expression Comprehension 3
Digging into Intrinsic Contextual Information for High-fidelity 3D Point Cloud Completion 5
DigitalLLaVA: Incorporating Digital Cognition Capability for Physical World Comprehension in Multimodal LLMs 3
Dimension Reduction for Symbolic Regression 2
Direct Routing Gradient (DRGrad): A Personalized Information Surgery for Multi-Task Learning (MTL) Recommendations 4
DisCo-DSO: Coupling Discrete and Continuous Optimization for Efficient Generative Design in Hybrid Spaces 3
DisCo: Graph-Based Disentangled Contrastive Learning for Cold-Start Cross-Domain Recommendation 4
Discovering Conceptual Knowledge with Analytic Ontology Templates for Articulated Objects 5
Discovering Options That Minimize Average Planning Time 3
Discovering Symmetries of ODEs by Symbolic Regression 2
Discrete Curvature Graph Information Bottleneck 5
Discrete Prior-Based Temporal-Coherent Content Prediction for Blind Face Video Restoration 3
Disentangle Nighttime Lens Flares: Self-supervised Generation-based Lens Flare Removal 3
Disentangled Contrastive Bundle Recommendation with Conditional Diffusion 5
Disentangled Modeling of Preferences and Social Influence for Group Recommendation 3
Disentangled Motion Modeling for Video Frame Interpolation 3
Disentangled Table-Graph Representation for Interpretable Transmission Line Fault Location 1
Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting 2
Disentangling Tabular Data Towards Better One-Class Anomaly Detection 4
Disentangling, Amplifying, and Debiasing: Learning Disentangled Representations for Fair Graph Neural Networks 4
Distances Between Top-Truncated Elections of Different Sizes 4
Distilling Knowledge from Heterogeneous Architectures for Semantic Segmentation 2
Distilling Structured Rationale from Large Language Models to Small Language Models for Abstractive Summarization 5
Distribution-Consistency-Guided Multi-modal Hashing 4
Distribution-Driven Dense Retrieval: Modeling Many-to-One Query-Document Relationship 3
Distribution-Level Feature Distancing for Machine Unlearning: Towards a Better Trade-off Between Model Utility and Forgetting 4
Distributionally Robust Policy Evaluation and Learning for Continuous Treatment with Observational Data 6
Dis²Booth: Learning Image Distribution with Disentangled Features for Text-to-Image Diffusion Models 6
DivGCL: A Graph Contrastive Learning Model for Diverse Recommendation 6
Dive into Aerial Remote Sensing Underwater Depth Estimation with Hyperspectral Imagery 4
DiveR-CT: Diversity-enhanced Red Teaming Large Language Model Assistants with Relaxing Constraints 3
DiverSAT: A Novel and Effective Local Search Algorithm for Diverse SAT Problem 4
Diverse Rare Sample Generation with Pretrained GANs 3
Diversifying Query: Region-Guided Transformer for Temporal Sentence Grounding 4
Divide, Conquer and Combine: A Training-Free Framework for High-Resolution Image Perception in Multimodal Large Language Models 3
Divide-Solve-Combine: An Interpretable and Accurate Prompting Framework for Zero-shot Multi-Intent Detection 3
Divide-and-Conquer: Tree-structured Strategy with Answer Distribution Estimator for Goal-Oriented Visual Dialogue 4
Do Not DeepFake Me: Privacy-Preserving Neural 3D Head Reconstruction Without Sensitive Images 2
DoGA: Enhancing Grounded Object Detection via Grouped Pre-Training with Attributes 6
DocKylin: A Large Multimodal Model for Visual Document Understanding with Efficient Visual Slimming 4
DocMamba: Efficient Document Pre-training with State Space Model 5
Does GCL Need a Large Number of Negative Samples? Enhancing Graph Contrastive Learning with Effective and Efficient Negative Sampling 4
Does GPT Really Get It? A Hierarchical Scale to Quantify Human and AI’s Understanding of Algorithms 3
Does VLM Classification Benefit from LLM Description Semantics? 7
Does Your AI Agent Get You? A Personalizable Framework for Approximating Human Models from Argumentation-based Dialogue Traces 4
DomCLP: Domain-wise Contrastive Learning with Prototype Mixup for Unsupervised Domain Generalization 5
Domain Adaptive Unfolded Graph Neural Networks 5
Domain Generalized Medical Landmark Detection via Robust Boundary-Aware Pre-Training 6
Domain-Level Disentanglement Framework Based on Information Enhancement for Cross-Domain Cold-Start Recommendation 5
Don’t Think It Twice: Exploit Shift Invariance for Efficient Online Streaming Inference of CNNs 2
Doubly Contrastive Learning for Source-Free Domain Adaptive Person Search 4
Dr. Tongue: Sign-Oriented Multi-label Detection for Remote Tongue Diagnosis 4
Drawing Informative Gradients from Sources: A One-stage Transfer Learning Framework for Cross-city Spatiotemporal Forecasting 4
DreaMark: Rooting Watermark in Score Distillation Sampling Generated Neural Radiance Fields 4
DreamAlign: Dynamic Text-to-3D Optimization with Human Preference Alignment 3
DreamFit: Garment-Centric Human Generation via a Lightweight Anything-Dressing Encoder 3
DreamPhysics: Learning Physics-Based 3D Dynamics with Video Diffusion Priors 3
DreamUHD: Frequency Enhanced Variational Autoencoder for Ultra-High-Definition Image Restoration 2
DriveDreamer-2: LLM-Enhanced World Models for Diverse Driving Video Generation 7
DriveEditor: A Unified 3D Information-Guided Framework for Controllable Object Editing in Driving Scenes 3
DriveGazen: Event-Based Driving Status Recognition Using Conventional Camera 4
Driving in the Occupancy World: Vision-Centric 4D Occupancy Forecasting and Planning via World Models for Autonomous Driving 3
DrivingForward: Feed-forward 3D Gaussian Splatting for Driving Scene Reconstruction from Flexible Surround-view Input 5
Drop the Beat! Freestyler for Accompaniment Conditioned Rapping Voice Generation 5
DrugHash: Hashing Based Contrastive Learning for Virtual Screening 4
DuMo: Dual Encoder Modulation Network for Precise Concept Erasure 4
DuSSS: Dual Semantic Similarity-Supervised Vision-Language Model for Semi-Supervised Medical Image Segmentation 5
Dual Conditioned Motion Diffusion for Pose-Based Video Anomaly Detection 5
Dual Information Purification for Lightweight SAR Object Detection 2
Dual Manifold Regularization Steered Robust Representation Learning for Point Cloud Analysis 3
Dual-Channel Interactive Graph Transformer for Traffic Classification with Message-Aware Flow Representation 5
Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization 3
Dual-View Learning for Conversational Emotion Recognition Through Context and Emotion-Shift Modeling 2
Dual-branch Graph Feature Learning for NLOS Imaging 4
Dual-calibrated Co-training Framework for Personalized Federated Semi-Supervised Medical Image Segmentation 4
DualDynamics: Synergizing Implicit and Explicit Methods for Robust Irregular Time Series Analysis 4
DualGFL: Federated Learning with a Dual-Level Coalition-Auction Game 3
DualNet: Robust Self-Supervised Stereo Matching with Pseudo-Label Supervision 3
DualOpt: A Dual Divide-and-Optimize Algorithm for the Large-scale Traveling Salesman Problem 5
Dung’s Argumentation Framework: Unveiling the Expressive Power with Inconsistent Databases 0
DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation 2
DynASyn: Multi-Subject Personalization Enabling Dynamic Action Synthesis 1
Dynamic Adapter with Semantics Disentangling for Cross-lingual Cross-modal Retrieval 3
Dynamic Clustering Convolutional Neural Network 4
Dynamic Contrastive Knowledge Distillation for Efficient Image Restoration 4
Dynamic Entity-Masked Graph Diffusion Model for Histopathology Image Representation Learning 4
Dynamic Expansion Diffusion Learning for Lifelong Generative Modelling 5
Dynamic Graph Learning with Static Relations for Credit Risk Assessment 3
Dynamic Interactive Bimodal Hypergraph Networks for Emotion Recognition in Conversations 4
Dynamic Multi-Interest Graph Neural Network for Session-Based Recommendation 6
Dynamic Neighborhood Modeling via Node-Subgraph Contrastive Learning for Graph-Based Fraud Detection 3
Dynamic Operator Optimization for Efficient Multi-Tenant LoRA Model Serving 4
Dynamic Spectral Graph Anomaly Detection 6
Dynamic Syntactic Feature Filtering and Injecting Networks for Cross-lingual Dependency Parsing 5
Dynamic Target Distribution Estimation for Source-Free Open-Set Domain Adaptation 4
Dynamic-Width Speculative Beam Decoding for LLM Inference 4
E4: Energy-Efficient DNN Inference for Edge Video Analytics via Early Exiting and DVFS 5
EBBS: An Ensemble with Bi-Level Beam Search for Zero-Shot Machine Translation 4
EBS-CFL: Efficient and Byzantine-robust Secure Clustered Federated Learning 3
EDENet: Echo Direction Encoding Network for Place Recognition Based on Ground Penetrating Radar 5
EDGE: Unknown-aware Multi-label Learning by Energy Distribution Gap Expansion 5
EF2X Exists for Four Agents 1
EFSkip: A New Error Feedback with Linear Speedup for Compressed Federated Learning with Arbitrary Data Heterogeneity 1
EGSRAL:An Enhanced 3D Gaussian Splatting Based Renderer with Automated Labeling for Large-Scale Driving Scene 4
ELDER: Enhancing Lifelong Model Editing with Mixture-of-LoRA 3
ELLA-V: Stable Neural Codec Language Modeling with Alignment-Guided Sequence Reordering 5
EMControl: Adding Conditional Control to Text-to-Image Diffusion Models via Expectation-Maximization 5
EMHI: A Multimodal Egocentric Human Motion Dataset with HMD and Body-Worn IMUs 1
EMPLACE: Self-Supervised Urban Scene Change Detection 5
ENCODER: Entity Mining and Modification Relation Binding for Composed Image Retrieval 4
END^2: Robust Dual-Decoder Watermarking Framework Against Non-Differentiable Distortions 5
EOV-Seg: Efficient Open-Vocabulary Panoptic Segmentation 4
EPERM: An Evidence Path Enhanced Reasoning Model for Knowledge Graph Question and Answering 5
EPT: Efficient Prompt Tuning by Multi-Space Projection and Prompt Fusion 3
ERF: A Benchmark Dataset for Robust Semantic Segmentation Under Extreme Rainfall Conditions 1
ERL-MPP: Evolutionary Reinforcement Learning with Multi-head Puzzle Perception for Solving Large-scale Jigsaw Puzzles of Eroded Gaps 4
ESEG: Event-Based Segmentation Boosted by Explicit Edge-Semantic Guidance 4
ESPRESSO: An Effective Approach to Passage Retrieval for High-Quality Conversational Recommender Systems 3
EWMoE: An Effective Model for Global Weather Forecasting with Mixture-of-Experts 5
EXCGEC: A Benchmark for Edit-Wise Explainable Chinese Grammatical Error Correction 4
Each Fake News Is Fake in Its Own Way: An Attribution Multi-Granularity Benchmark for Multimodal Fake News Detection 4
Early Concept Drift Detection via Prediction Uncertainty 3
EchoDiffusion: Waveform Conditioned Diffusion Models for Echo-Based Depth Estimation 5
EchoMimic: Lifelike Audio-Driven Portrait Animations through Editable Landmark Conditions 5
Eco Search: A No-delay Best-First Search Algorithm for Program Synthesis 5
Edge Contrastive Learning: An Augmentation-Free Graph Contrastive Learning Model 5
EditBoard: Towards a Comprehensive Evaluation Benchmark for Text-Based Video Editing Models 5
Editing Memories Through Few Targeted Neurons 2
Effective Diffusion Transformer Architecture for Image Super-Resolution 5
Effective and Efficient Representation Learning for Flight Trajectories 4
Effects of Momentum in Implicit Bias of Gradient Flow for Diagonal Linear Networks 1
Efficient 3D Recognition with Event-driven Spike Sparse Convolution 5
Efficient Anomaly Detection of Irregular Sequences in Ct-Echo Model Space 5
Efficient Attention-Sharing Information Distillation Transformer for Lightweight Single Image Super-Resolution 3
Efficient Communication in Multi-Agent Reinforcement Learning with Implicit Consensus Generation 1
Efficient Connectivity-Preserving Instance Segmentation with Supervoxel-Based Loss Function 5
Efficient Deformable Convolutional Prompt for Continual Test-Time Adaptation in Medical Image Segmentation 3
Efficient Event-Based Semantic Segmentation via Exploiting Frame-Event Fusion: A Hybrid Neural Network Approach 5
Efficient Fault-Tolerant Search by Fast Indexing of Subnetworks 1
Efficient Few-Shot Neural Architecture Search by Counting the Number of Nonlinear Functions 5
Efficient Gaussian Splatting for Monocular Dynamic Scene Rendering via Sparse Time-Variant Attribute Modeling 3
Efficient Graph Bandit Learning with Side-Observations and Switching Constraints 3
Efficient Image-to-Image Diffusion Classifier for Adversarial Robustness 4
Efficient Indoor Depth Completion Network Using Mask-adaptive Gated Convolution 5
Efficient Language-instructed Skill Acquisition via Reward-Policy Co-Evolution 2
Efficient Multi-Policy Evaluation for Reinforcement Learning 2
Efficient Neural Network Encoding for 3D Color Lookup Tables 5
Efficient Online Training for Zero-Shot Time-Lapse Microscopy Denoising and Super-Resolution 3
Efficient Rectification of Neuro-Symbolic Reasoning Inconsistencies by Abductive Reflection 5
Efficient Reinforcement Learning Through Adaptively Pretrained Visual Encoder 2
Efficient Reinforcement Learning in Probabilistic Reward Machines 3
Efficient Robustness Evaluation via Constraint Relaxation 6
Efficient Self-Supervised Video Hashing with Selective State Spaces 4
Efficient Traffic Prediction Through Spatio-Temporal Distillation 5
Efficient Training of Neural Fractional-Order Differential Equation via Adjoint Backpropagation 6
EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba 4
EigenSR: Eigenimage-Bridged Pre-Trained RGB Learners for Single Hyperspectral Image Super-Resolution 6
Elevating Flow-Guided Video Inpainting with Reference Generation 6
Eliciting Causal Abilities in Large Language Models for Reasoning Tasks 4
Eliminating Majority Illusion Is Easy 0
Embedding Robust Watermarking into Pattern to Protect the Copyright of Ceramic Artifacts 2
Emergence-Inspired Multi-Granularity Causal Learning 6
EmoReg: Directional Latent Vector Modeling for Emotional Intensity Regularization in Diffusion-based Voice Conversion 4
Empowering LLMs with Pseudo-Untrimmed Videos for Audio-Visual Temporal Understanding 1
Empowering Self-Learning of LLMs: Inner Knowledge Explicitation as a Catalyst 5
Enabling Region-Specific Control via Lassos in Point-Based Colorization 2
Encoder of Thoughts: Enhancing Planning Ability in Language Agents Through Structural Embedding 4
End-to-End Autonomous Driving Through V2X Cooperation 4
Energy vs. Noise: Towards Robust Temporal Action Localization in Open-World 4
Energy-Guided Optimization for Personalized Image Editing with Pretrained Text-to-Image Diffusion Models 2
Enhance Vision-Language Alignment with Noise 4
Enhanced Importance Sampling Through Latent Space Exploration in Normalizing Flows 3
Enhanced Sample Selection with Confidence Tracking: Identifying Correctly Labeled Yet Hard-to-Learn Samples in Noisy Data 5
Enhancing Adversarial Transferability with Adversarial Weight Tuning 3
Enhancing Audiovisual Speech Recognition Through Bifocal Preference Optimization 5
Enhancing Chain of Thought Prompting in Large Language Models via Reasoning Patterns 5
Enhancing Close-up Novel View Synthesis via Pseudo-labeling 4
Enhancing Contrastive Learning Inspired by the Philosophy of “The Blind Men and the Elephant” 5
Enhancing Decision-Making for LLM Agents via Step-Level Q-Value Models 4
Enhancing Diffusion Model with Auxiliary Information Mining-Exploration and Efficient Sampling Mechanism for Sequential Recommendation 2
Enhancing Elusive Clues in Knowledge Learning by Contrasting Attention of Language Models 4
Enhancing Entertainment Translation for Indian Languages Using Adaptive Context, Style and LLMs 3
Enhancing Fine-Grained Vision-Language Pretraining with Negative Augmented Samples 3
Enhancing Generalizability in Molecular Conformation Generation with METRIZATION-Informed Geometric Diffusion Pretraining 4
Enhancing Generalizability via Utilization of Unlabeled Data for Occupancy Perception 4
Enhancing Generalized Few-Shot Semantic Segmentation via Effective Knowledge Transfer 5
Enhancing Healthcare Recommendations: A Privacy-Protective and Interpretable Cross-Domain Framework 3
Enhancing Identity-Deformation Disentanglement in StyleGAN for One-Shot Face Video Re-Enactment 4
Enhancing Implicit Neural Representations via Symmetric Power Transformation 5
Enhancing LLMs via High-Knowledge Data Selection 4
Enhancing Large Language Model Performance with Gradient-Based Parameter Selection 5
Enhancing Long-and Short-Term Representations for Next POI Recommendations via Frequency and Hierarchical Contrastive Learning 4
Enhancing Low-Light Images: A Synthetic Data Perspective on Practical and Generalizable Solutions 4
Enhancing Low-Rank Adaptation with Recoverability-Based Reinforcement Pruning for Object Counting 3
Enhancing Masked Time-Series Modeling via Dropping Patches 3
Enhancing Multi-Hop Fact Verification with Structured Knowledge-Augmented Large Language Models 5
Enhancing Multi-Robot Semantic Navigation Through Multimodal Chain-of-Thought Score Collaboration 4
Enhancing Multi-View Classification Reliability with Adaptive Rejection 4
Enhancing Multimodal Affective Analysis with Learned Live Comment Features 4
Enhancing Multimodal Large Language Models Complex Reason via Similarity Computation 4
Enhancing Multivariate Time-Series Domain Adaptation via Contrastive Frequency Graph Discovery and Language-Guided Adversary Alignment 2
Enhancing NLU in Large Language Models Using Adversarial Noisy Instruction Tuning 4
Enhancing Noise-Robust Losses for Large-Scale Noisy Data Learning 3
Enhancing Non-English Capabilities of English-Centric Large Language Models Through Deep Supervision Fine-Tuning 3
Enhancing Online Reinforcement Learning with Meta-Learned Objective from Offline Data 4
Enhancing Portuguese Variety Identification with Cross-Domain Approaches 5
Enhancing Question Generation through Diversity-Seeking Reinforcement Learning with Bilevel Policy Decomposition 3
Enhancing Relation Extraction via Supervised Rationale Verification and Feedback 4
Enhancing Robustness in Incremental Learning with Adversarial Training 4
Enhancing SQL Query Generation with Neurosymbolic Reasoning 6
Enhancing Sequential Recommendation with Global Diffusion 5
Enhancing Uncertainty Modeling with Semantic Graph for Hallucination Detection 2
Enhancing the Adversarial Robustness via Manifold Projection 4
Enriching Multimodal Sentiment Analysis Through Textual Emotional Descriptions of Visual-Audio Content 1
Entire-Space Variational Information Exploitation for Post-Click Conversion Rate Prediction 1
Entropy Regularized Task Representation Learning for Offline Meta-Reinforcement Learning 4
Envisioning Class Entity Reasoning by Large Language Models for Few-shot Learning 3
Epistemic EFX Allocations Exist for Monotone Valuations 1
Epsilon: Exploring Comprehensive Visual-Semantic Projection for Multi-Label Zero-Shot Learning 3
Equal Merit Does Not Imply Equality: Discrimination at Equilibrium in a Hiring Market with Symmetric Agents 2
Equilibria of the Colonel Blotto Games with Costs 3
Equirectangular Point Reconstruction for Domain Adaptive Multimodal 3D Object Detection in Adverse Weather Conditions 5
Erase Then Rectify: A Training-Free Parameter Editing Approach for Cost-Effective Graph Unlearning 6
Error Analysis Affected by Heavy-Tailed Gradients for Non-Convex Pairwise Stochastic Gradient Descent 0
Error Bounds for Gaussian Process Regression Under Bounded Support Noise with Applications to Safety Certification 2
Error Diversity Matters: An Error-Resistant Ensemble Method for Unsupervised Dependency Parsing 5
EvHDR-GS: Event-guided HDR Video Reconstruction with 3D Gaussian Splatting 3
EvHDR-NeRF: Building High Dynamic Range Radiance Fields with Single Exposure Images and Events 4
EvSTVSR: Event Guided Space-Time Video Super-Resolution 5
Evaluating Image Hallucination in Text-to-Image Generation with Question-Answering 0
Evaluating LLM Reasoning in the Operations Research Domain with ORQA 4
Evaluating the Evaluator: Measuring LLMs’ Adherence to Task Evaluation Instructions 1
EvdCLIP: Improving Vision-Language Retrieval with Entity Visual Descriptions from Large Language Models 3
Eve: Efficient Multimodal Vision Language Models with Elastic Visual Experts 3
Even-if Explanations: Formal Foundations, Priorities and Complexity 1
Event-Enhanced Blurry Video Super-Resolution 5
Event2Tracking: Reconstructing Multi-Agent Soccer Trajectories Using Long-Term Multimodal Context 3
EventMamba: Enhancing Spatio-Temporal Locality with State Space Models for Event-Based Video Reconstruction 4
EventPillars: Pillar-based Efficient Representations for Event Data 4
EventSum: A Large-Scale Event-Centric Summarization Dataset for Chinese Multi-News Documents 3
EventZoom: A Progressive Approach to Event-Based Data Augmentation for Enhanced Neuromorphic Vision 3
Every Bit Helps: Achieving the Optimal Distortion with a Few Queries 1
Every Component Counts: Rethinking the Measure of Success for Medical Semantic Segmentation in Multi-Instance Segmentation Tasks 2
Everywhere Attack: Attacking Locally and Globally to Boost Targeted Transferability 4
EvoChart: A Benchmark and a Self-Training Approach Towards Real-World Chart Understanding 4
Evolutionary Classifier Chain for Multi-Dimensional Classification 6
Evolutionary Large Language Model for Automated Feature Transformation 4
Evolutionary Reinforcement Learning with Parameterized Action Primitives for Diverse Manipulation Tasks 3
ExDDI: Explaining Drug-Drug Interaction Predictions with Natural Language 3
ExPERT: Modeling Human Behavior Under External Stimuli Aware Personalized MTPP 3
Exact Algorithms and Lower Bounds for Forming Coalitions of Constrained Maximum Size 0
Exact Algorithms for Multiagent Path Finding with Communication Constraints on Tree-Like Structures 0
ExcluIR: Exclusionary Neural Information Retrieval 3
Excluding the Impossible for Open Vocabulary Semantic Segmentation 4
Expand Horizon: Graph Out-of-Distribution Generalization via Multi-Level Environment Inference 4
Expand VSR Benchmark for VLLM to Expertize in Spatial Rules 3
Expanding the Scope of Negatives: Boosting Image-Text Matching with Negatives Distribution Guided Learning 3
Expected Hypervolume Improvement Is a Particular Hypervolume Improvement 3
Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models 4
Explainable Neural Networks with Guarantee: A Sparse Estimation Approach 3
Explaining Decisions of Agents in Mixed-Motive Games 2
Explicit Relational Reasoning Network for Scene Text Detection 4
Explicit and Implicit Examinee-Question Relation Exploiting for Efficient Computerized Adaptive Testing 4
Explicit and Implicit Graduated Optimization in Deep Neural Networks 6
Explicitly Guided Difficulty-Controllable Visual Question Generation 4
Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning 6
Exploit Your Latents: Coarse-Grained Protein Backmapping with Latent Diffusion Models 4
Exploiting Continuous Motion Clues for Vision-Based Occupancy Prediction 5
Exploiting Diffusion Prior for Real-World Image Dehazing with Unpaired Training 1
Exploiting Fine-Grained Skip Behaviors for Micro-Video Recommendation 4
Exploiting Multimodal Spatial-temporal Patterns for Video Object Tracking 5
Exploiting Symmetries in MUS Computation 5
Explore In-Context Segmentation via Latent Diffusion Models 3
Explore What LLM Does Not Know in Complex Question Answering 6
Exploring Activation Patterns of Parameters in Language Models 3
Exploring Conversational Adaptability: Assessing the Proficiency of Large Language Models in Dynamic Alignment with Updated User Intent 3
Exploring Enhanced Contextual Information for Video-Level Object Tracking 6
Exploring Model Editing for LLM-based Aspect-Based Sentiment Classification 4
Exploring More from Multiple Gait Modalities for Human Identification 3
Exploring Query Efficient Data Generation Towards Data-Free Model Stealing in Hard Label Setting 4
Exploring Rationale Learning for Continual Graph Learning 4
Exploring Salient Object Detection with Adder Neural Networks 3
Exploring Semantic Consistency and Style Diversity for Domain Generalized Semantic Segmentation 4
Exploring Task-Level Optimal Prompts for Visual In-Context Learning 4
Exploring Temporal Event Cues for Dense Video Captioning in Cyclic Co-Learning 5
Exploring Unbiased Deepfake Detection via Token-Level Shuffling and Mixing 3
Exploring Vacant Classes in Label-Skewed Federated Learning 4
Exploring the Better Multimodal Synergy Strategy for Vision-Language Models 4
Exploring the Potential of Large Vision-Language Models for Unsupervised Text-Based Person Retrieval 4
Exploring the Relationship Between Samples and Masks for Robust Defect Localization 3
Exponential-Family Harmoniums with Neural Sufficient Statistics 4
External Reliable Information-enhanced Multimodal Contrastive Learning for Fake News Detection 5
Extract Free Dense Misalignment from CLIP 5
Extracting Interpretable Task-Specific Circuits from Large Language Models for Faster Inference 4
Extracting PAC Decision Trees from Black Box Binary Classifiers: The Gender Bias Study Case on BERT-based Language Models 3
EyEar: Learning Audio Synchronized Human Gaze Trajectory Based on Physics-Informed Dynamics 4
FAMNet: Frequency-aware Matching Network for Cross-domain Few-shot Medical Image Segmentation 4
FATE: Feature-Adapted Parameter Tuning for Vision-Language Models 4
FBRT-YOLO: Faster and Better for Real-Time Aerial Image Detection 4
FCOM: A Federated Collaborative Online Monitoring Framework via Representation Learning 4
FD2-Net: Frequency-Driven Feature Decomposition Network for Infrared-Visible Object Detection 3
FEAST-Mamba: FEAture and SpaTial Aware Mamba Network with Bidirectional Orthogonal Fusion for Cross-Modal Point Cloud Segmentation 4
FFCG: Effective and Fast Family Column Generation for Solving Large-Scale Linear Program 3
FIRM: Flexible Interactive Reflection ReMoval 5
FLAME: Learning to Navigate with Multimodal LLM in Urban Environments 5
FLUE: Streamlined Uncertainty Estimation for Large Language Models 3
FMPM-DNet: Hyperspectral Pansharpening Dynamic Network Based on Feature Modulation and Probability Mask 6
FNIN: A Fourier Neural Operator-based Numerical Integration Network for Surface-from-gradients 4
FOCUS: Towards Universal Foreground Segmentation 6
FROC: Building Fair ROC from a Trained Classifier 3
FR²Seg: Continual Segmentation Across Multiple Sites via Fourier Style Replay and Adaptive Consistency Regularization 5
FSL-Rectifier: Rectify Outliers in Few-Shot Learning via Test-Time Augmentation 5
FSTA-SNN:Frequency-Based Spatial-Temporal Attention Module for Spiking Neural Networks 2
FaceA-Net: Facial Attribute-Driven ID Preserving Image Generation Network 2
FaceMe: Robust Blind Face Restoration with Personal Identification 4
FaceSpeak: Expressive and High-Quality Speech Synthesis from Human Portraits of Different Styles 3
Facility Location Games with Optional Preferences: A Revisit 1
Factor Augmented Tensor-on-Tensor Neural Networks 4
FactorGCL: A Hypergraph-Based Factor Model with Temporal Residual Contrastive Learning for Stock Returns Prediction 2
Fair Division via the Cake-Cutting Share 3
Fair Division with Market Values 0
Fair Division with Social Impact 1
Fair Federated Survival Analysis 4
Fair Text-to-Image Diffusion via Fair Mapping 4
Fair Training with Zero Inputs 6
Fair and Efficient Completion of Indivisible Goods 0
FairGP: A Scalable and Fair Graph Transformer Using Graph Partitioning 2
FairTP: A Prolonged Fairness Framework for Traffic Prediction 4
Fairness Shields: Safeguarding against Biased Decision Makers 2
Fairness-Accuracy Trade-Offs: A Causal Perspective 3
Faithful and Accurate Self-Attention Attribution for Message Passing Neural Networks via the Computation Tree Viewpoint 2
FakeDiffer: Distributional Disparity Learning on Differentiated Reconstruction for Face Forgery Detection 5
Falcon: Faster and Parallel Inference of Large Language Models Through Enhanced Semi-Autoregressive Drafting and Custom-Designed Decoding Tree 3
FashionTailor: Controllable Clothing Editing for Human Images with Appearance Preserving 3
Fast Computing of Dung Semantics in Acyclic Probabilistic Argumentation Frameworks 5
Fast Contiguous Somatic Hypermutations for Single-Objective Optimisation and Multi-Objective Optimisation Via Decomposition 1
Fast Multi-Instance Partial-Label Learning 6
Fast Omni-Directional Image Super-Resolution: Adapting the Implicit Image Function with Pixel and Semantic-Wise Spherical Geometric Priors 6
Fast Think-on-Graph: Wider, Deeper and Faster Reasoning of Large Language Model on Knowledge Graph 3
Fast Track to Winning Tickets: Repowering One-Shot Pruning for Graph Neural Networks 4
Fast and Interpretable Mixed-Integer Linear Program Solving by Learning Model Reduction 4
Fast and Slow Gradient Approximation for Binary Neural Network Optimization 4
FastLGS: Speeding Up Language Embedded Gaussians with Feature Grid Mapping 5
FastPERT: Towards Fast Microservice Application Latency Prediction via Structural Inductive Bias over PERT Networks 5
Faster Double Adaptive Gradient Methods 5
FatesGS: Fast and Accurate Sparse-View Surface Reconstruction Using Gaussian Splatting with Depth-Feature Consistency 4
Feature Clipping for Uncertainty Calibration 4
Feature Denoising Diffusion Model for Blind Image Quality Assessment 4
Feature-Structure Adaptive Completion Graph Neural Network for Cold-start Recommendation 3
FedAA: A Reinforcement Learning Perspective on Adaptive Aggregation for Fair and Robust Federated Learning 3
FedCFA: Alleviating Simpson’s Paradox in Model Aggregation with Counterfactual Federated Learning 5
FedCross: Intertemporal Federated Learning Under Evolutionary Games 1
FedGOG: Federated Graph Out-of-Distribution Generalization with Diffusion Data Exploration and Latent Embedding Decorrelation 3
FedMSGL: A Self-Expressive Hypergraph Based Federated Multi-View Learning 5
FedPIA – Permuting and Integrating Adapters Leveraging Wasserstein Barycenters for Finetuning Foundation Models in Multi-Modal Federated Learning 4
FedPop: Federated Population-based Hyperparameter Tuning 4
FedSA: A Unified Representation Learning via Semantic Anchors for Prototype-based Federated Learning 3
FedSPU: Personalized Federated Learning for Resource-Constrained Devices with Stochastic Parameter Update 6
FedSum: Data-Efficient Federated Learning Under Data Scarcity Scenario for Text Summarization 4
Federated Assemblies 3
Federated Binary Matrix Factorization Using Proximal Optimization 6
Federated Causally Invariant Feature Learning 4
Federated Foundation Models on Heterogeneous Time Series 3
Federated Graph Condensation with Information Bottleneck Principles 3
Federated Graph-Level Clustering Network 4
Federated Recommendation with Explicitly Encoding Item Bias 5
Federated Unlearning with Gradient Descent and Conflict Mitigation 5
Federated Unsupervised Domain Generalization Using Global and Local Alignment of Gradients 6
Federated t-SNE and UMAP for Distributed Data Visualization 4
Few-Shot Audio-Visual Class-Incremental Learning with Temporal Prompting and Regularization 4
Few-Shot Domain Adaptation for Learned Image Compression 3
Few-Shot Fine-Grained Image Classification with Progressively Feature Refinement and Continuous Relationship Modeling 3
Few-Shot Incremental Learning via Foreground Aggregation and Knowledge Transfer for Audio-Visual Semantic Segmentation 4
Few-Shot, No Problem: Descriptive Continual Relation Extraction 4
FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual Prompts 3
Filling Memory Gaps: Enhancing Continual Semantic Parsing via SQL Syntax Variance-Guided LLMs Without Real Data Replay 5
Filter or Compensate: Towards Invariant Representation from Distribution Shift for Anomaly Detection 5
Fine-Grained Graph Representation Learning for Heterogeneous Mobile Networks with Attentive Fusion and Contrastive Learning 6
Fine-Grained Perception in Panoramic Scenes: A Novel Task, Dataset, and Method for Object Importance Ranking 5
Fine-Tuning Language Models with Collaborative and Semantic Experts 3
Fine-grained Adaptive Visual Prompt for Generative Medical Visual Question Answering 4
First Line of Defense: A Robust First Layer Mitigates Adversarial Attacks 4
First-Order Automata 1
First-Order Federated Bilevel Learning 4
Fit and Prune: Fast and Training-free Visual Token Pruning for Multi-modal Large Language Models 5
Flash Diffusion: Accelerating Any Conditional Diffusion Model for Few Steps Image Generation 5
FlexDataset: Crafting Annotated Dataset Generation for Diverse Applications 5
FlexiTex: Enhancing Texture Generation via Visual Guidance 3
FloNa: Floor Plan Guided Embodied Visual Navigation 3
Flow Factorization for Efficient Generative Flow Networks 1
FlowMamba: Learning Point Cloud Scene Flow with Global Motion Propagation 4
FlowPolicy: Enabling Fast and Robust 3D Flow-Based Policy via Consistency Flow Matching for Robot Manipulation 4
Focus on Local: Finding Reliable Discriminative Regions for Visual Place Recognition 6
FoldToken: Learning Protein Language via Vector Quantization and Beyond 3
Follow-Your-Click: Open-domain Regional Image Animation via Motion Prompts 4
Forecasting Competitions with Correlated Events 0
Foreground-Covering Prototype Generation and Matching for SAM-Aided Few-Shot Segmentation 3
Forget to Flourish: Leveraging Machine-Unlearning on Pretrained Language Models for Privacy Leakage 3
Formal Quality Measures for Predictors in Markov Decision Processes 0
Formal Synthesis of Barrier Certificates Using Fourier Kolmogorov-Arnold Network 5
Formally Verified Approximate Policy Iteration 4
Forward KL Regularized Preference Optimization for Aligning Diffusion Policies 1
Foundation Model Driven Appearance Extraction for Robust Multiple Object Tracking 4
Fourier Guided Adaptive Adversarial Augmentation for Generalization in Visual Reinforcement Learning 4
Frame Order Matters: A Temporal Sequence-Aware Model for Few-Shot Action Recognition 4
Free Lunch in the Forest: Functionally-Identical Pruning of Boosted Tree Ensembles 7
Free-Moving Object Reconstruction and Pose Estimation with Virtual Camera 5
FreeCap: Hybrid Calibration-Free Motion Capture in Open Environments 5
FreeGen: Bridging Visual-Linguistic Discrepancies Towards Diffusion-based Pixel-level Data Synthesis 4
FreeMask: Rethinking the Importance of Attention Masks for Zero-Shot Video Editing 4
FreeNet: Liberating Depth-Wise Separable Operations for Building Faster Mobile Vision Architectures 3
FreqTS: Frequency-Aware Token Selection for Accelerating Diffusion Models 3
Frequency-Aware Density Control via Reparameterization for High-Quality Rendering of 3D Gaussian Splatting 5
Frequency-Masked Embedding Inference: A Non-Contrastive Approach for Time Series Representation Learning 4
Friends-MMC: A Dataset for Multi-modal Multi-party Conversation Understanding 4
FriendsQA: A New Large-Scale Deep Video Understanding Dataset with Fine-grained Topic Categorization for Story Videos 3
From 2D CAD Drawings to 3D Parametric Models: A Vision-Language Approach 5
From Coarse to Fine: A Matching and Alignment Framework for Unsupervised Cross-View Geo-Localization 4
From PEFT to DEFT: Parameter Efficient Finetuning for Reducing Activation Density in Transformers 5
From Pairwise to Ranking: Climbing the Ladder to Ideal Collaborative Filtering with Pseudo-Ranking 2
From Representation Space to Prognostic Insights: Whole Slide Image Generation with Hierarchical Diffusion Model for Survival Prediction 5
From Words to Worth: Newborn Article Impact Prediction with LLM 2
From Your Block to Our Block: How to Find Shared Structure Between Stochastic Block Models over Multiple Graphs 5
Frozen Language Models Are Gradient Coherence Rectifiers in Vision Transformers 4
Fully Test-time Adaptation for Tabular Data 4
FunEditor: Achieving Complex Image Edits via Function Aggregation with Diffusion Models 4
Functional Connectomes of Neural Networks 4
Fusing Pruned and Backdoored Models: Optimal Transport-based Data-free Backdoor Mitigation 5
Future Sight and Tough Fights: Revolutionizing Sequential Recommendation with FENRec 2
Fuzzy Collaborative Reasoning 4
G-VEval: A Versatile Metric for Evaluating Image and Video Captions Using GPT-4o 5
G2LDetect: A Global-to-Local Approach for Hallucination Detection 3
GARLIC: GPT-Augmented Reinforcement Learning with Intelligent Control for Vehicle Dispatching 3
GBRIP: Granular Ball Representation for Imbalanced Partial Label Learning 3
GCAD: Anomaly Detection in Multivariate Time Series from the Perspective of Granger Causality 2
GCD-Sampling: A General Cross-scale Decoupled Sampling for Point Cloud 3
GCD: Advancing Vision-Language Models for Incremental Object Detection via Global Alignment and Correspondence Distillation 5
GDiffRetro: Retrosynthesis Prediction with Dual Graph Enhanced Molecular Representation and Diffusion Generation 3
GENTEEL-NEGOTIATOR: LLM-Enhanced Mixture-of-Expert-Based Reinforcement Learning Approach for Polite Negotiation Dialogue 2
GFlow: Recovering 4D World from Monocular Video 4
GGS: Generalizable Gaussian Splatting for Lane Switching in Autonomous Driving 1
GHOST: Gaussian Hypothesis Open-Set Technique 3
GIM: A Million-scale Benchmark for Generative Image Manipulation Detection and Localization 3
GLAD: Improving Latent Graph Generative Modeling with Simple Quantization 4
GLAM: Global-Local Variation Awareness in Mamba-based World Model 4
GLCF: A Global-Local Multimodal Coherence Analysis Framework for Talking Face Generation Detection 4
GLEN: Generalized Focal Loss Ensemble of Low-Rank Networks for Calibrated Visual Question Answering 3
GLIC: General Format Learned Image Compression 4
GMAP: Generalized Manipulation of Articulated Objects in Robotic Using Pre-trained Model 4
GNN-Transformer Cooperative Architecture for Trustworthy Graph Contrastive Learning 6
GNN-Transformer Task Planning Enhanced with Semantic-Driven Data Augmentation 3
GNS: Solving Plane Geometry Problems by Neural-Symbolic Reasoning with Multi-Modal LLMs 5
GPU-Accelerated Parallel Bilevel Optimization for Roubst 6G ISAC 3
GRAIN: Multi-Granular and Implicit Information Aggregation Graph Neural Network for Heterophilous Graphs 3
GRICP: Granular-Ball Iterative Closest Point with Multikernel Correntropy for Point Cloud Fine Registration 4
GRPose: Learning Graph Relations for Human Image Generation with Pose Priors 5
GRSN: Gated Recurrent Spiking Neurons for POMDPs and MARL 4
GSDiff: Synthesizing Vector Floorplans via Geometry-enhanced Structural Graph Generation 5
GTDE: Grouped Training with Decentralized Execution for Multi-agent Actor-Critic 4
GTG: Generalizable Trajectory Generation Model for Urban Mobility 1
GURecon: Learning Detailed 3D Geometric Uncertainties for Neural Surface Reconstruction 4
GVMGen: A General Video-to-Music Generation Model with Hierarchical Attentions 4
GaitCycFormer: Leveraging Gait Cycles and Transformers for Gait Emotion Recognition. 4
Game4Loc: A UAV Geo-Localization Benchmark from Game Data 3
GapMatch: Bridging Instance and Model Perturbations for Enhanced Semi-Supervised Medical Image Segmentation 2
GarFast: Realistic and Fast Garment Transfer with a Simplified Parser-Free Approach 4
Gaussian Graphical Modelling Without Independence Assumptions for Uncentered Data 6
GaussianPainter: Painting Point Cloud into 3D Gaussians with Normal Guidance 2
GaussianSR: High Fidelity 2D Gaussian Splatting for Arbitrary-Scale Image Super-Resolution 4
Gaze Label Alignment: Alleviating Domain Shift for Gaze Estimation 2
GeCC: Generalized Contrastive Clustering with Domain Shifts Modeling 5
GenAL: Generative Agent for Adaptive Learning 4
GenAuction: A Generative Auction for Online Advertising 4
GenHMR: Generative Human Mesh Recovery 5
GenPlan: Generative Sequence Models as Adaptive Planners 5
General Uncertainty Estimation with Delta Variances 2
Generalizable Sensor-Based Activity Recognition via Categorical Concept Invariant Learning 4
Generalization Analysis for Deep Contrastive Representation Learning 3
Generalized Class Discovery in Instance Segmentation 4
Generalized Convergence Analysis of Tsetlin Automaton Based Algorithms: A Probabilistic Approach to Concept Learning 5
Generalized Debiased Semi-Supervised Hashing for Large-Scale Image Retrieval 3
Generalized Dimension Reduction Using Semi-Relaxed Gromov-Wasserstein Distance 3
Generalized Implicit Neural Representations for Dynamic Molecular Surface Modeling 4
Generalized Zero-Shot Learning for Point Cloud Segmentation with Evidence-Based Dynamic Calibration 3
Generalizing Constraint Models in Constraint Acquisition 5
Generating Counterfactual Explanations Under Temporal Constraints 6
Generating Synthetic Data for Unsupervised Federated Learning of Cross-Modal Retrieval 3
Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner 5
Generative Medical Segmentation 6
Generative Planning with 3D-Vision Language Pre-training for End-to-End Autonomous Driving 4
Generative Video Diffusion for Unseen Novel Semantic Video Moment Retrieval 3
GenesisTex2: Stable, Consistent and High-Quality Text-to-Texture Generation 3
Genomics Data Lossless Compression with (S, K)-Mer Encoding and Deep Neural Networks 3
GeoAggregator: An Efficient Transformer Model for Geo-Spatial Tabular Data 5
GeoBEV: Learning Geometric BEV Representation for Multi-view 3D Object Detection 4
GeoMamba: Towards Multi-granular POI Recommendation with Geographical State Space Model 3
GeoPro-Net: Learning Interpretable Spatiotemporal Prediction Models Through Statistically-Guided Geo-Prototyping 2
Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset 3
Geolocation Representation from Large Language Models Are Generic Enhancers for Spatio-Temporal Learning 2
Geometry-Aware 3D Salient Object Detection Network 5
Germane Conflicts: Desirable Properties for Localising Inconsistency 0
Ghidorah: Towards Robust Multi-Scale Information Diffusion Prediction via Test-Time Training 3
GigaGS: 3D Gaussian Based Planar Representation for Large-Scene Surface Reconstruction 4
Global Attribute-Association Pattern Aggregation for Graph Fraud Detection 4
Global Graph Propagation with Hierarchical Information Transfer for Incomplete Contrastive Multi-view Clustering 5
GlyphDraw2: Automatic Generation of Complex Glyph Posters with Diffusion Models and Large Language Models 2
GlyphSR: A Simple Glyph-Aware Framework for Scene Text Image Super-Resolution 4
GoBERT: Gene Ontology Graph Informed BERT for Universal Gene Function Prediction 3
GoHD: Gaze-oriented and Highly Disentangled Portrait Animation with Rhythmic Poses and Realistic Expressions 2
Goal-Driven Reasoning in DatalogMTL with Magic Sets 4
GraSP: Simple Yet Effective Graph Similarity Predictions 5
GradQ-ViT: Robust and Efficient Gradient Quantization for Vision Transformers 4
Gradient Alignment Improves Test-Time Adaptation for Medical Image Segmentation 4
Gradient Weight-normalized Low-rank Projection for Efficient LLM Training 6
Gradient-Based Nonlinear Rehearsal Learning with Multivariate Alterations 5
Gradient-Based Sample Selection for Black-Box Universal Domain Adaptation 3
Gradient-Guided Credit Assignment and Joint Optimization for Dependency-Aware Spatial Crowdsourcing 6
Granularity-Adaptive Spatial Evidence Tokenization for Video Question Answering 3
Graph Agent Network: Empowering Nodes with Inference Capabilities for Adversarial Resilience 1
Graph Coarsening via Supervised Granular-Ball for Scalable Graph Neural Network Training 6
Graph Consistency and Diversity Measurement for Federated Multi-View Clustering 4
Graph Mixture of Experts and Memory-augmented Routers for Multivariate Time Series Anomaly Detection 4
Graph Structure Learning for Spatial-Temporal Imputation: Adapting to Node and Feature Scales 4
Graph Structure Refinement with Energy-based Contrastive Learning 6
Graph-Based Cross-Domain Knowledge Distillation for Cross-Dataset Text-to-Image Person Retrieval 5
GraphAvatar: Compact Head Avatars with GNN-Generated 3D Gaussians 4
GraphMoRE: Mitigating Topological Heterogeneity via Mixture of Riemannian Experts 4
Graphic Design with Large Multimodal Model 3
Grimm: A Plug-and-Play Perturbation Rectifier for Graph Neural Networks Defending Against Poisoning Attacks 3
Grounded Multi-Hop VideoQA in Long-Form Egocentric Videos 5
Guaranteeing Out-Of-Distribution Detection in Deep RL via Transition Estimation 4
GuideNER: Annotation Guidelines Are Better than Examples for In-Context Named Entity Recognition 5
Guided Real Image Dehazing Using YCbCr Color Space 3
Guided and Variance-Corrected Fusion with One-shot Style Alignment for Large-Content Image Generation 4
H-MBA: Hierarchical MamBa Adaptation for Multi-Modal Video Understanding in Autonomous Driving 3
HC-LLM: Historical-Constrained Large Language Models for Radiology Report Generation 5
HDLayout: Hierarchical and Directional Layout Planning for Arbitrary Shaped Visual Text Generation 4
HDT: Hierarchical Discrete Transformer for Multivariate Time Series Forecasting 4
HEP-NAS: Towards Efficient Few-shot Neural Architecture Search via Hierarchical Edge Partitioning 6
HFF-Tracker: A Hierarchical Fine-grained Fusion Tracker for Referring Multi-Object Tracking 3
HGSFusion: Radar-Camera Fusion with Hybrid Generation and Synchronization for 3D Object Detection 4
HHAN: Comprehensive Infectious Disease Source Tracing via Heterogeneous Hypergraph Neural Network 3
HI-DR: Exploiting Health Status-Aware Attention and an EHR Graph+ for Effective Medication Recommendation 4
HLMEA: Unsupervised Entity Alignment Based on Hybrid Language Models 6
HOGSA: Bimanual Hand-Object Interaction Understanding with 3D Gaussian Splatting Based Data Augmentation 4
HOIMamba: Efficient Mamba-based Disentangled Progressive Learning for HOI Detection 3
HS-FPN: High Frequency and Spatial Perception FPN for Tiny Object Detection 3
HSEvo: Elevating Automatic Heuristic Design with Diversity-Driven Harmony Search and Genetic Algorithm Using LLMs 5
HSOD-BIT-V2: A Challenging Benchmark for Hyperspectral Salient Object Detection 2
HSRDiff: A Hierarchical Self-Regulation Diffusion Model for Stochastic Semantic Segmentation 5
HUANG: A Robust Diffusion Model-based Targeted Adversarial Attack Against Deep Hashing Retrieval 6
HVAdam: A Full-Dimension Adaptive Optimizer 2
HVDualformer: Histogram-Vision Dual Transformer for White Balance 4
HVIS: A Human-like Vision and Inference System for Human Motion Prediction 4
HYBOOD: A Hybrid Generative Model for Out-of-Distribution Detection with Corruption Estimation 2
HYGENE: A Diffusion-Based Hypergraph Generation Method 4
HaCore: Efficient Coreset Construction with Locality Sensitive Hashing for Vertical Federated Learning 4
Hand1000: Generating Realistic Hands from Text with Only 1,000 Images 3
HandDiffuse: Generative Controllers for Two-Hand Interactions via Diffusion Models 3
Hansel: Output Length Controlling Framework for Large Language Models 3
Harmonious Music-driven Group Choreography with Trajectory-Controllable Diffusion 4
Harmonizing Visual and Textual Embeddings for Zero-Shot Text-to-Image Customization 1
Harnessing Event Sensory Data for Error Pattern Prediction in Vehicles: A Language Model Approach 1
Harnessing Language Model for Cross-Heterogeneity Graph Knowledge Transfer 5
Harnessing Large Language Models for Knowledge Graph Question Answering via Adaptive Multi-Aspect Retrieval-Augmentation 4
Harnessing Multimodal Large Language Models for Multimodal Sequential Recommendation 6
HeGTa: Leveraging Heterogeneous Graph-enhanced Large Language Models for Few-shot Complex Table Understanding 4
HeMeNet: Heterogeneous Multichannel Equivariant Network for Protein Multi-task Learning 3
HePa: Heterogeneous Graph Prompting for All-Level Classification Tasks 1
Hedging and Approximate Truthfulness in Traditional Forecasting Competitions 0
Heterogeneous Graph Neural Network on Semantic Tree 4
Heterogeneous Multi-Agent Bandits with Parsimonious Hints 2
Heterogeneous Multi-Robot Graph Coverage with Proximity and Movement Constraints 1
Heterogeneous Prompt-Guided Entity Inferring and Distilling for Scene-Text Aware Cross-Modal Retrieval 4
Heuristic-free Knowledge Distillation for Streaming ASR via Multi-modal Training 3
HiCM²: Hierarchical Compact Memory Modeling for Dense Video Captioning 2
HiGDA: Hierarchical Graph of Nodes to Learn Local-to-Global Topology for Semi-Supervised Domain Adaptation 3
HiPoser: 3D Human Pose Estimation with Hierarchical Shared Learning at Parts-Level Using Inertial Measurement Units 4
HiRED: Attention-Guided Token Dropping for Efficient Inference of High-Resolution Vision-Language Models 5
HieraFashDiff: Hierarchical Fashion Design with Multi-stage Diffusion Models 4
Hierarchical Alignment-enhanced Adaptive Grounding Network for Generalized Referring Expression Comprehension 2
Hierarchical Classification Auxiliary Network for Time Series Forecasting 5
Hierarchical Context Pruning: Optimizing Real-World Code Completion with Repository-Level Pretrained Code LLMs 4
Hierarchical Cross-Modal Alignment for Open-Vocabulary 3D Object Detection 4
Hierarchical Divide-and-Conquer for Fine-Grained Alignment in LLM-Based Medical Evaluation 6
Hierarchical Gradient-Based Genetic Sampling for Accurate Prediction of Biological Oscillations 5
Hierarchical Mixture of Experts: Generalizable Learning for High-Level Synthesis 5
Hierarchical Multi-Source Uncertainty Aggregation for Interactive Video Captioning 5
Hierarchical Vector Quantization for Unsupervised Action Segmentation 4
Hierarchically Controlled Deformable 3D Gaussians for Talking Head Synthesis 2
Hierarchically-Structured Open-Vocabulary Indoor Scene Synthesis with Pre-trained Large Language Model 4
High-Fidelity Polarimetric Implicit 3D Reconstruction with View-Dependent Physical Representation 3
High-Resolution Frame Interpolation with Patch-based Cascaded Diffusion 2
Higher Order Structures for Graph Explanations 2
Highly Imperceptible Black-Box Graph Injection Attacks with Reinforcement Learning 4
Highly Parallelized Reinforcement Learning Training with Relaxed Assignment Dependencies 4
Holistic Correction with Object Prototype for Video Object Segmentation 3
Holistic Semantic Representation for Navigational Trajectory Generation 3
HomeDiffusion: Zero-Shot Object Customization with Multi-View Representation Learning for Indoor Scenes 3
HomoMatcher: Achieving Dense Feature Matching with Semi-Dense Efficiency by Homography Estimation 4
HoneypotNet: Backdoor Attacks Against Model Extraction 4
How Do Position Encodings Affect Length Generalization? Case Studies On In-Context Function Learning 2
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? 3
How Many Lines to Paint the City: Exact Edge-Cover in Temporal Graphs 0
How Not to Stitch Representations to Measure Similarity: Task Loss Matching Versus Direct Matching 5
How to Re-enable PDE Loss for Physical Systems Modeling Under Partial Observation 4
Hubness Change Point Detection 5
Human and AI Perceptual Differences in Image Classification Errors 2
Hybrid Data-Free Knowledge Distillation 5
Hybrid Decentralized Optimization: Leveraging Both First- and Zeroth-Order Optimizers for Faster Convergence 4
Hybrid Reasoning About Relative Position and Orientation of Objects and Navigating Agents Using Answer Set Programming 5
Hybrid-Driving: An Autonomous Driving Decision Framework Integrating Large Language Models, Knowledge Graphs and Driving Rules 1
HybridReg: Robust 3D Point Cloud Registration with Hybrid Motions 5
HyperDefender: A Robust Framework for Hyperbolic GNNs 3
HyperMixer: Specializable Hypergraph Channel Mixing for Long-term Multivariate Time Series Forecasting 3
Hyperbolic-Constraint Point Cloud Reconstruction from Single RGB-D Images 4
Hypergraph Attacks via Injecting Homogeneous Nodes into Elite Hyperedges 4
Hyperparametric Robust and Dynamic Influence Maximization 4
ICM-Assistant: Instruction-tuning Multimodal Large Language Models for Rule-based Explainable Image Content Moderation 4
ID-GMLM: Intelligent Decision-Making with Integrated Graph Models and Large Language Models 4
ID-Sculpt: ID-aware 3D Head Generation from Single In-the-wild Portrait Image 5
IDseq: Decoupled and Sequentially Detecting and Grounding Multi-Modal Media Manipulation 3
IMAGDressing-v1: Customizable Virtual Dressing 4
IPDN: Image-enhanced Prompt Decoding Network for 3D Referring Expression Segmentation 5
IPVTON: Image-based 3D Virtual Try-on with Image Prompt Adapter 3
IRMamba: Pixel Difference Mamba with Layer Restoration for Infrared Small Target Detection 4
ISPDiffuser: Learning RAW-to-sRGB Mappings with Texture-Aware Diffusion Models and Histogram-Guided Color Consistency 5
ISR-DPO: Aligning Large Multimodal Models for Videos by Iterative Self-Retrospective DPO 5
IWRN:A Robust Blind Watermarking Method for Artwork Image Copyright Protection Against Noise Attack 6
Identifying Macro Conditional Independencies and Macro Total Effects in Summary Causal Graphs with Latent Confounding 0
Identifying Predictions That Influence the Future: Detecting Performative Concept Drift in Data Streams 3
Identifying Query-Relevant Neurons in Large Language Models for Long-Form Texts 5
Identity-Text Video Corpus Grounding 5
Image Conductor: Precision Control for Interactive Video Synthesis 2
Image Regeneration: Evaluating Text-to-Image Model via Generating Identical Image with Multimodal Large Language Models 5
Image-to-video Adaptation with Outlier Modeling and Robust Self-learning 3
ImagePiece: Content-aware Re-tokenization for Efficient Image Recognition 4
Imagine: Image-Guided 3D Part Assembly with Structure Knowledge Graph 4
Imitate Before Detect: Aligning Machine Stylistic Preference for Machine-Revised Text Detection 4
Imperceptible 3D Point Cloud Attacks on Lattice-based Barycentric Coordinates 3
Implicit Location-Caption Alignment via Complementary Masking for Weakly-Supervised Dense Video Captioning 5
Implicit Relative Labeling-Importance Aware Multi-Label Metric Learning 3
Implicit Word Reordering with Knowledge Distillation for Cross-Lingual Dependency Parsing 4
Importance Weighting Can Help Large Language Models Self-Improve 5
Improved Approximation Algorithms for Clustered TSP and Subgroup Planning 5
Improved Bounds for Online Facility Location with Predictions 1
Improved Fixed-Parameter Bounds for Min-Sum-Radii and Diameters k-Clustering and Their Fair Variants 0
Improved Maximin Share Approximations for Chores by Bin Packing 1
Improved Rates of Differentially Private Nonconvex-Strongly-Concave Minimax Optimization 3
Improved Regret Bounds for Online Fair Division with Bandit Learning 1
Improving Cancer Gene Prediction by Enhancing Common Information Between the PPI Network and Gene Functional Association 4
Improving Complex Reasoning over Knowledge Graph with Logic-Aware Curriculum Tuning 3
Improving Cooperation in Language Games with Bayesian Inference and the Cognitive Hierarchy 3
Improving Deep Learning Speed and Performance Through Synaptic Neural Balance 3
Improving Factuality in Large Language Models via Decoding-Time Hallucinatory and Truthful Comparators 4
Improving Federated Domain Generalization Through Dynamical Weights Calculated from Data Influences on Global Model Update 5
Improving Generalization for AI-Synthesized Voice Detection 5
Improving Generalization of Deep Neural Networks by Optimum Shifting 4
Improving Generalization of Universal Adversarial Perturbation via Dynamic Maximin Optimization 5
Improving Integrated Gradient-based Transferable Adversarial Examples by Refining the Integration Path 5
Improving Model Probability Calibration by Integration of Large Data Sources with Biased Labels 4
Improving Multimodal Social Media Popularity Prediction via Selective Retrieval Knowledge Augmentation 5
Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis 3
Improving Pareto Set Learning for Expensive Multi-objective Optimization via Stein Variational Hypernetworks 4
Improving Private Random Forest Prediction Using Matrix Representation 6
Improving Retrieval Augmented Language Model with Self-Reasoning 2
Improving Transformer Based Line Segment Detection with Matched Predicting and Re-ranking 4
Improving the Lower Bound in Branch-and-Bound Algorithms for MaxSAT 5
In-Context Policy Adaptation via Cross-Domain Skill Diffusion 2
In-context Prompt-augmented Micro-video Popularity Prediction 4
In-depth Analysis of Low-rank Matrix Factorisation in a Federated Setting 5
In2NeCT: Inter-class and Intra-class Neural Collapse Tuning for Semantic Segmentation of Imbalanced Remote Sensing Images 4
Inapproximability of Optimal Multi-Agent Pathfinding Problems 0
Incomplete Modality Disentangled Representation for Ophthalmic Disease Grading and Diagnosis 3
Incomplete Multi-View Multi-Label Classification via Diffusion-Guided Redundancy Removal 3
Incomplete Multi-view Clustering via Diffusion Contrastive Generation 2
Incomplete and Unpaired Multi-View Graph Clustering with Cross-View Feature Fusion 3
Increasing Revenue in Efficient Combinatorial Auctions by Learning to Generate Artificial Competition 0
Incremental Nyström-based Multiple Kernel Clustering 4
Individually Stable Dynamics in Coalition Formation over Graphs 1
Inductive Learning of Logical Theories with LLMs: A Expressivity-graded Analysis 4
Infer Human’s Intentions Before Following Natural Language Instructions 2
Infer the Whole from a Glimpse of a Part: Keypoint-Based Knowledge Graph for Vehicle Re-Identification 4
Infinite-Canvas: Higher-Resolution Video Outpainting with Extensive Content Generation 2
Information-Theoretic Generative Clustering of Documents 5
Inheriting Generalized Learngene for Efficient Knowledge Transfer across Multiple Tasks 2
IniRetinex: Rethinking Retinex-type Low-Light Image Enhancer via Initialization Perspective 6
InpDiffusion: Image Inpainting Localization via Conditional Diffusion Models 4
InstantSticker: Realistic Decal Blending via Disentangled Object Reconstruction 3
Instruct Where the Model Fails: Generative Data Augmentation via Guided Self-contrastive Fine-tuning 4
InstructAvatar: Text-Guided Emotion and Motion Control for Avatar Generation 4
InstructOCR: Instruction Boosting Scene Text Spotting 5
Instruction-Augmented Long-Horizon Planning: Embedding Grounding Mechanisms in Embodied Mobile Manipulation 3
Instruction-guided Multi-Granularity Segmentation and Captioning with Large Multimodal Model 3
Int*-Match: Balancing Intra-Class Compactness and Inter-Class Discrepancy for Semi-Supervised Speaker Recognition 4
Int2Planner: An Intention-based Multi-modal Motion Planner for Integrated Prediction and Planning 5
Integrating Co-Training with Edge Discrimination to Enhance Graph Neural Networks Under Heterophily 3
Integrating Inference and Experimental Design for Contextual Behavioral Model Learning 5
Integrating Large Language Models and Möbius Group Transformations for Temporal Knowledge Graph Embedding on the Riemann Sphere 2
Integrating Low-Level Visual Cues for Enhanced Unsupervised Semantic Segmentation 4
Integrating Personalized Spatio-Temporal Clustering for Next POI Recommendation 6
Integrating Sequence and Image Modeling in Irregular Medical Time Series Through Self-Supervised Learning 6
Intelligent OPC Engineer Assistant for Semiconductor Manufacturing 4
Intent Oriented Contrastive Learning for Sequential Recommendation 3
Interacted Object Grounding in Spatio-Temporal Human-Object Interactions 3
Interpretable Face Anti-Spoofing: Enhancing Generalization with Multimodal Large Language Models 4
Interpretable Failure Detection with Human-Level Concepts 4
Interpretable Solutions for Multi-Physics PDEs Using T-NNGP 3
Interweaving Memories of a Siamese Large Language Model 4
Intra and Inter Parser-Prompted Transformers for Effective Image Restoration 3
Intrinsic Image Decomposition for Robust Self-supervised Monocular Depth Estimation on Reflective Surfaces 3
InvSeg: Test-Time Prompt Inversion for Semantic Segmentation 6
Inverse Reinforcement Learning by Estimating Expertise of Demonstrators 2
InverseCoder: Self-improving Instruction-Tuned Code LLMs with Inverse-Instruct 5
Invertible Projection and Conditional Alignment for Multi-Source Blended-Target Domain Adaptation 5
Investigating the Security Threat Arising from “Yes-No” Implicit Bias in Large Language Models 3
Is LLMs Hallucination Usable? LLM-based Negative Reasoning for Fake News Detection 4
Is Sarcasm Detection a Step-by-Step Reasoning Process in Large Language Models? 3
Is There No Such Thing as a Bad Question? H4R: HalluciBot for Ratiocination, Rewriting, Ranking, and Routing 3
Is Your Image a Good Storyteller? 5
IsUMap: Manifold Learning and Data Visualization Leveraging Vietoris-Rips Filtrations 4
IteRPrimE: Zero-shot Referring Image Segmentation with Iterative Grad-CAM Refinement and Primary Word Emphasis 6
Iterative Counterfactual Data Augmentation 4
Iterative Self-Training with Class-Aware Text-to-Image Synthesis for Visual Task Learning 4
Iterative Sparse Attention for Long-sequence Recommendation 1
JEN-1 Composer: A Unified Framework for High-Fidelity Multi-Track Music Generation 6
JEN-1 DreamStyler: Customized Musical Concept Learning via Pivotal Parameters Tuning 2
JoVALE: Detecting Human Actions in Video Using Audiovisual and Language Contexts 5
Joint Class-level and Instance-level Relationship Modeling for Novel Class Discovery 2
Joint Knowledge Editing for Information Enrichment and Probability Promotion 2
Just What You Desire: Constrained Timeline Summarization with Self-Reflection for Enhanced Relevance 5
Just a Few Glances: Open-Set Visual Perception with Image Prompt Paradigm 4
K-ON: Stacking Knowledge on the Head Layer of Large Language Model 5
KAES: Multi-aspect Shared Knowledge Finding and Aligning for Cross-prompt Automated Scoring of Essay Traits 5
KALAHash: Knowledge-Anchored Low-Resource Adaptation for Deep Hashing 4
KDAT: Inherent Adversarial Robustness via Knowledge Distillation with Adversarial Tuning for Object Detection Models 6
KGCRR: An Effective Metric-Driven Knowledge Graph Completion Framework by Designing a Novel Upper Bound Function with Adaptive Approximation to Reciprocal Rank 5
KITS: Inductive Spatio-Temporal Kriging with Increment Training Strategy 4
KPL: Training-Free Medical Knowledge Mining of Vision-Language Models 5
Kernel Learning for Sample Constrained Black-Box Optimization 2
Kernel-Aware Graph Prompt Learning for Few-Shot Anomaly Detection 5
KernelMatmul: Scaling Gaussian Processes to Large Time Series 6
Key-Point-Driven Data Synthesis with Its Enhancement on Mathematical Reasoning 4
KeyGS: A Keyframe-Centric Gaussian Splatting Method for Monocular Image Sequences 2
KeyPose: Category-Level 6D Object Pose Estimation with Self-Adaptive Keypoints 3
Know Where You Are From: Event-Based Segmentation via Spatio-Temporal Propagation 5
Know2Vec: A Black-Box Proxy for Neural Network Retrieval 2
KnowPO: Knowledge-Aware Preference Optimization for Controllable Knowledge Selection in Retrieval-Augmented Language Models 3
Knowledge Editing with Dynamic Knowledge Graphs for Multi-Hop Question Answering 4
Knowledge Graph Completion with Relation-Aware Anchor Enhancement 5
Knowledge Is Power: Harnessing Large Language Models for Enhanced Cognitive Diagnosis 6
Knowledge in Superposition: Unveiling the Failures of Lifelong Knowledge Editing for Large Language Models 2
Knowledge-Enhanced Hierarchical Heterogeneous Graph for Personality Identification with Limited Training Data 3
Knowledge-Guided Domain Adaptation Model for Transferring Drug Response Prediction from Cell Lines to Patients 3
Kolmogorov-Arnold Networks Still Catastrophically Forget but Differently from MLP 3
L-Man: A Large Multi-modal Model Unifying Human-centric Tasks 3
L3TC: Leveraging RWKV for Learned Lossless Low-Complexity Text Compression 5
L4DR: LiDAR-4DRadar Fusion for Weather-Robust 3D Object Detection 5
LAGD: Local Topological-Alignment and Global Semantic-Deconstruction for Incremental 3D Semantic Segmentation 4
LAMA-UT: Language Agnostic Multilingual ASR Through Orthography Unification and Language-Specific Transliteration 4
LATTE: Improving Latex Recognition for Tables and Formulae with Iterative Refinement 4
LDP: Generalizing to Multilingual Visual Information Extraction by Language Decoupled Pretraining 4
LEARN: Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application 3
LIBA: Language Instructed Multi-granularity Bridge Assistant for 3D Visual Grounding 1
LLM Agents Can Be Choice-Supportive Biased Evaluators: An Empirical Study 1
LLM+AL: Bridging Large Language Models and Action Languages for Complex Reasoning About Actions 3
LLM-DR: A Novel LLM-Aided Diffusion Model for Rule Generation on Temporal Knowledge Graphs 2
LLM-Powered User Simulator for Recommender System 2
LLM-RG4: Flexible and Factual Radiology Report Generation Across Diverse Input Contexts 6
LLM4GEN: Leveraging Semantic Representation of LLMs for Text-to-Image Generation 3
LLM4RSR: Large Language Models as Data Correctors for Robust Sequential Recommendation 6
LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation 5
LLaVA Needs More Knowledge: Retrieval Augmented Natural Language Generation with Knowledge Graph for Explaining Thoracic Pathologies 3
LNS2+RL: Combining Multi-agent Reinforcement Learning with Large Neighborhood Search in Multi-agent Path Finding 3
LOHA: Direct Graph Spectral Contrastive Learning Between Low-Pass and High-Pass Views 2
LOMA: Language-assisted Semantic Occupancy Network via Triplane Mamba 4
LPCG: A Self-conditional Architecture for Labeled Point Cloud Generation 2
LRM-LLaVA: Overcoming the Modality Gap of Multilingual Large Language-Vision Model for Low-Resource Languages 3
LS-TGNN: Long and Short-Term Temporal Graph Neural Network for Session-Based Recommendation 4
LTLf Synthesis Under Unreliable Input 3
LTLf Synthesis on First-Order Agent Programs in Nondeterministic Environments 5
LVPTrack: High Performance Domain Adaptive UAV Tracking with Label Aligned Visual Prompt Tuning 5
Label Aggregation for Composite Crowd Tasks by Worker Ability Constraint Satisfaction 4
Label Noise Correction via Fuzzy Learning Machine 3
Label-Efficient Data Augmentation with Video Diffusion Models for Guidewire Segmentation in Cardiac Fluoroscopy 3
Label-Free Backdoor Attacks in Vertical Federated Learning 5
Langevin Monte Carlo Beyond Lipschitz Gradient Continuity 4
Langevin Multiplicative Weights Update with Applications in Polynomial Portfolio Management 3
Language Model Can Listen While Speaking 4
Language Models of Code Are Few-Shot Planners and Reasoners for Multi-Document Summarization with Attribution 5
Language Pre-training Guided Masking Representation Learning for Time Series Classification 4
Language Prompt for Autonomous Driving 3
Large Images Are Gaussians: High-Quality Large Image Representation with Levels of 2D Gaussian Splatting 2
Large Language Model Meets Graph Neural Network in Knowledge Distillation 3
Large Language Models Are Read/Write Policy-Makers for Simultaneous Generation 5
Large Language Models Enhanced Personalized Graph Neural Architecture Search in Federated Learning 5
Last-iterate Convergence in Regularized Graphon Mean Field Game 3
Latent Diffusion-Enhanced Virtual Try-On via Optimized Pseudo-Label Generation 5
Latent Reward: LLM-Empowered Credit Assignment in Episodic Reinforcement Learning 3
LayerAct: Advanced Activation Mechanism for Robust Inference of CNNs 3
Layered-Parameter Perturbation for Zeroth-Order Optimization of Optical Neural Networks 4
LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers 3
Learn How to Query from Unlabeled Data Streams in Federated Learning 4
Learn2Aggregate: Supervised Generation of Chvatal-Gomory Cuts Using Graph Neural Networks 4
Learnability of Parameter-Bounded Bayes Nets 0
Learned Image Transmission with Hierarchical Variational Autoencoder 2
Learning 2D Invariant Affordance Knowledge for 3D Affordance Grounding 4
Learning Causal Transition Matrix for Instance-dependent Label Noise 2
Learning Complex Heterogeneous Multimodal Fake News via Social Latent Network Inference 5
Learning Complexity of Gradient Descent and Conjugate Gradient Algorithms 0
Learning Concept Prerequisite Relation via Global Knowledge Relation Optimization 5
Learning Cross-Domain Representations for Transferable Drug Perturbations on Single-Cell Transcriptional Responses 5
Learning Deep Dissipative Dynamics 3
Learning Disentangled Equivariant Representation for Explicitly Controllable 3D Molecule Generation 2
Learning Dynamic Similarity by Bidirectional Hierarchical Sliding Semantic Probe for Efficient Text Video Retrieval 4
Learning Fine-Grained Alignment for Aerial Vision-Dialog Navigation 5
Learning Fine-grained Domain Generalization via Hyperbolic State Space Hallucination 3
Learning Generalized Residual Exchange-Correlation-Uncertain Functional for Density Functional Theory 5
Learning Joint Behaviors with Large Variations 2
Learning Local Neighborhoods of Non-Gaussian Graphical Models 5
Learning More Expressive General Policies for Classical Planning Domains 6
Learning Multiple User Distributions for Recommendation via Guided Conditional Diffusion 4
Learning Nash Equilibrium of Markov Potential Games with a Shared Constraint via Primal-Dual Optimization 1
Learning Optimal Auctions with Correlated Value Distributions 2
Learning Personalized Decision Support Policies 4
Learning Physics Informed Neural ODEs with Partial Measurements 3
Learning Regularization for Graph Inverse Problems 4
Learning Robust and Privacy-Preserving Representations via Information Theory 7
Learning Set Functions with Implicit Differentiation 5
Learning Strategy Representation for Imitation Learning in Multi-Agent Games 0
Learning Structural Causal Models from Ordering: Identifiable Flow Models 4
Learning Theorem Rationale for Improving the Mathematical Reasoning Capability of Large Language Models 4
Learning Together Securely: Prototype-Based Federated Multi-Modal Hashing for Safe and Efficient Multi-Modal Retrieval 5
Learning Valid Dual Bounds in Constraint Programming: Boosted Lagrangian Decomposition with Self-Supervised Learning 6
Learning Verified Safe Neural Network Controllers for Multi-Agent Path Finding 3
Learning Visually Grounded Domain Ontologies via Embodied Conversation and Explanation 2
Learning from Mistakes: Self-correct Adversarial Training for Chinese Unnatural Text Correction 2
Learning from Noisy Labels via Self-Taught On-the-Fly Meta Loss Rescaling 5
Learning from Summarized Data: Gaussian Process Regression with Sample Quasi-Likelihood 5
Learning to Collaborate with Unknown Agents in the Absence of Reward 2
Learning to Generate Gradients for Test-Time Adaptation via Test-Time Training Layers 6
Learning to Manipulate Under Limited Information 5
Learning to Prompt with Text Only Supervision for Vision-Language Models 5
Learning to Rewind via Iterative Prediction of Past Weights for Practical Unlearning 5
Learning with Open-world Noisy Data via Class-independent Margin in Dual Representation Space 4
Learnware Specification via Label-Aware Neural Embedding 3
Less Is More: Adaptive Program Repair with Bug Localization and Preference Learning 3
Less Is More: Token Context-Aware Learning for Object Tracking 4
Leveraging Anatomical Consistency for Multi-Object Detection in Ultrasound Images via Source-free Unsupervised Domain Adaptation 4
Leveraging Asynchronous Spiking Neural Networks for Ultra Efficient Event-Based Visual Processing 2
Leveraging Attention to Effectively Compress Prompts for Long-Context LLMs 4
Leveraging Consistent Spatio-Temporal Correspondence for Robust Visual Odometry 2
Leveraging Constraint Violation Signals for Action Constrained Reinforcement Learning 3
Leveraging First and Zeroth-Order Gradient to Address Imbalanced Black-Box Prompt Tuning via Minimax Optimization 5
Leveraging Group Classification with Descending Soft Labeling for Deep Imbalanced Regression 4
Leveraging Large Language Models for Node Generation in Few-Shot Learning on Text-Attributed Graphs 6
Leveraging Large Vision-Language Model as User Intent-Aware Encoder for Composed Image Retrieval 3
Leveraging RGB-D Data with Cross-Modal Context Mining for Glass Surface Detection 5
Leveraging the Dual Capabilities of LLM: LLM-Enhanced Text Mapping Model for Personality Detection 5
LiD-FL: Towards List-Decodable Federated Learning 4
LiDAR-LLM: Exploring the Potential of Large Language Models for 3D LiDAR Understanding 4
LiON: Learning Point-Wise Abstaining Penalty for LiDAR Outlier DetectioN Using Diverse Synthetic Data 5
Lifelong Scalable Generative System via Online Maximum Mean Discrepancy 5
Lifting Scheme-Based Implicit Disentanglement of Emotion-Related Facial Dynamics in the Wild 5
Light-T2M: A Lightweight and Fast Model for Text-to-motion Generation 5
LightPROF: A Lightweight Reasoning Framework for Large Language Model on Knowledge Graph 3
Lightweight Contrastive Distilled Hashing for Online Cross-modal Retrieval 5
Lightweight Yet Fine-Grained: A Graph Capsule Convolutional Network with Subspace Alignment for Shared-Account Sequential Recommendation 5
Like an Ophthalmologist: Dynamic Selection Driven Multi-View Learning for Diabetic Retinopathy Grading 5
Limitations in Employing Natural Language Supervision for Sensor-Based Human Activity Recognition - And Ways to Overcome Them 2
Linear Equations with Min and Max Operators: Computational Complexity 0
Linear Streaming Bandit: Regret Minimization and Fixed-Budget Epsilon-Best Arm Identification 2
Linking Industry Sectors and Financial Statements: A Hybrid Approach for Company Classification 4
List Update with Prediction 3
LiteSearch: Efficient Tree Search with Dynamic Exploration Budget for Math Reasoning 4
Little Is Enough: Boosting Privacy by Sharing Only Hard Labels in Federated Semi-Supervised Learning 4
LoGoFair: Post-Processing for Local and Global Fairness in Federated Learning 4
LoRID: Low-Rank Iterative Diffusion for Adversarial Purification 4
Local Causal Discovery Without Causal Sufficiency 3
Local Causal Discovery for Structural Evidence of Direct Discrimination 6
Local Conditional Controlling for Text-to-Image Diffusion Models 2
Locally Convex Global Loss Network for Decision-Focused Learning 3
Locate Anything on Earth: Advancing Open-Vocabulary Object Detection for Remote Sensing Community 5
Logarithmic Regret for Linear Markov Decision Processes with Adversarial Corruptions 1
Logic Induced High-Order Reasoning Network for Event-Event Relation Extraction 3
Logic-Q: Improving Deep Reinforcement Learning-based Quantitative Trading via Program Sketch-based Tuning 1
LogicAD: Explainable Anomaly Detection via VLM-based Text Feature Extraction 5
Long-Tailed Out-of-Distribution Detection: Prioritizing Attention to Tail 4
Long-Term EEG Partitioning for Seizure Onset Detection 2
Look Around Before Locating: Considering Content and Structure Information for Visual Grounding 3
Look Back for More: Harnessing Historical Sequential Updates for Personalized Federated Adapter Tuning 5
Look Before You Leap: Enhance Attention and Vigilance Regarding Harmful Content with GuidelineLLM 4
Look Inside for More: Internal Spatial Modality Perception for 3D Anomaly Detection 5
Loosely Synchronized Rule-Based Planning for Multi-Agent Path Finding with Asynchronous Actions 5
Low-Light Image Enhancement via Generative Perceptual Priors 4
M2Flow: A Motion Information Fusion Framework for Enhanced Unsupervised Optical Flow Estimation in Autonomous Driving 3
M2OST: Many-to-one Regression for Predicting Spatial Transcriptomics from Digital Pathology Images 5
M3Net: Efficient Time-Frequency Integration Network with Mirror Attention for Audio Classification on Edge 6
M3Net: Multimodal Multi-task Learning for 3D Detection, Segmentation, and Occupancy Prediction in Autonomous Driving 3
MABR: Multilayer Adversarial Bias Removal Without Prior Bias Knowledge 4
MAGIC: Generating Self-Correction Guideline for In-Context Text-to-SQL 4
MAMS: Model-Agnostic Module Selection Framework for Video Captioning 3
MAPF-GPT: Imitation Learning for Multi-Agent Pathfinding at Scale 3
MARS: Mixture of Auto-Regressive Models for Fine-grained Text-to-image Synthesis 3
MASS: Overcoming Language Bias in Image-Text Matching 3
MDD-5k: A New Diagnostic Conversation Dataset for Mental Disorders Synthesized via Neuro-Symbolic LLM Agents 6
MDFG: Multi-Dimensional Fine-Grained Modeling for Fatigue Detection 6
MEATRD: Multimodal Anomalous Tissue Region Detection Enhanced with Spatial Transcriptomics 4
MEDSAGE: Enhancing Robustness of Medical Dialogue Summarization to ASR Errors with LLM-generated Synthetic Dialogues 2
MENTOR: Multi-level Self-supervised Learning for Multimodal Recommendation 4
MEPNet: Medical Entity-Balanced Prompting Network for Brain CT Report Generation 5
MFL-Owner: Ownership Protection for Multi-modal Federated Learning via Orthogonal Transform Watermark 5
MGDA: Model-based Goal Data Augmentation for Offline Goal-conditioned Weighted Supervised Learning 2
MHBench: Demystifying Motion Hallucination in VideoLLMs 3
MI-CAPTCHA: Enhance the Security of CAPTCHA Using Mooney Images 5
MIDI-GPT: A Controllable Generative Model for Computer-Assisted Multitrack Music Composition 5
MIETT: Multi-Instance Encrypted Traffic Transformer for Encrypted Traffic Classification 4
MIMTrack: In-Context Tracking via Masked Image Modeling 5
ML-GOOD: Towards Multi-Label Graph Out-Of-Distribution Detection 5
MLAAN: Scaling Supervised Local Learning with Multilaminar Leap Augmented Auxiliary Network 3
MLC-NC: Long-Tailed Multi-Label Image Classification Through the Lens of Neural Collapse 3
MM-CamObj: A Comprehensive Multimodal Dataset for Camouflaged Object Scenarios 6
MM-Mixing: Multi-Modal Mixing Alignment for 3D Understanding 2
MM-Tracker: Motion Mamba for UAV-platform Multiple Object Tracking 5
MMGDreamer: Mixed-Modality Graph for Geometry-Controllable 3D Indoor Scene Generation 3
MMPF: Multi-Modal Perception Framework for Abnormal Medical Condition Detection 4
MOCID: Motion Context and Displacement Information Learning for Moving Infrared Small Target Detection 5
MOL-Mamba: Enhancing Molecular Representation with Structural & Electronic Insights 6
MORE: Molecule Pretraining with Multi-Level Pretext Task 4
MOS: Model Surgery for Pre-Trained Model-Based Class-Incremental Learning 5
MP: Endowing Large Language Models with Lateral Thinking 2
MPQ-DM: Mixed Precision Quantization for Extremely Low Bit Diffusion Models 3
MPTSNet: Integrating Multiscale Periodic Local Patterns and Global Dependencies for Multivariate Time Series Classification 4
MRBTP: Efficient Multi-Robot Behavior Tree Planning and Collaboration 6
MRR-FV: Unlocking Complex Fact Verification with Multi-Hop Retrieval and Reasoning 3
MSAmba: Exploring Multimodal Sentiment Analysis with State Space Models 4
MSE-Adapter: A Lightweight Plugin Endowing LLMs with the Capability to Perform Multimodal Sentiment Analysis and Emotion Recognition 3
MSP-MVS: Multi-Granularity Segmentation Prior Guided Multi-View Stereo 4
MSR: A Multifaceted Self-Retrieval Framework for Microscopic Cascade Prediction 3
MSSDA: Multi-Sub-Source Domain Adaptation for Diabetic Foot Neuropathy Recognition 6
MSV-PCT: Multi-Sparse-View Enhanced Transformer Framework for Salient Object Detection in Point Clouds 4
MTGA: Multi-View Temporal Granularity Aligned Aggregation for Event-Based Lip-Reading 2
MTVHunter: Smart Contracts Vulnerability Detection Based on Multi-Teacher Knowledge Translation 3
MUC: Mixture of Uncalibrated Cameras for Robust 3D Human Body Reconstruction 5
MUCD: Unsupervised Point Cloud Change Detection via Masked Consistency 2
MUN: Image Forgery Localization Based on M³ Encoder and UN Decoder 5
MUSE: Mamba Is Efficient Multi-scale Learner for Text-video Retrieval 5
MV-VTON: Multi-View Virtual Try-On with Diffusion Models 4
MVREC: A General Few-shot Defect Classification Model Using Multi-View Region-Context 4
MVReward: Better Aligning and Evaluating Multi-View Diffusion Models with Human Preferences 6
MYOPIA: Protecting Face Privacy from Malicious Personalized Text-to-Image Synthesis via Unlearnable Examples 4
M^3EL: A Multi-task Multi-topic Dataset for Multi-modal Entity Linking 4
MaFeRw: Query Rewriting with Multi-Aspect Feedbacks for Retrieval-Augmented Large Language Models 2
MagicMan: Generative Novel View Synthesis of Humans with 3D-Aware Diffusion and Iterative Refinement 6
MagicNaming: Consistent Identity Generation by Finding a “Name Space” in T2I Diffusion Models 2
MaintaAvatar: A Maintainable Avatar Based on Neural Radiance Fields by Continual Learning 3
Maintaining Fairness in Logit-based Knowledge Distillation for Class-Incremental Learning 6
Make Domain Shift a Catastrophic Forgetting Alleviator in Class-Incremental Learning 4
Making Large Vision Language Models to Be Good Few-Shot Learners 5
MalCL: Leveraging GAN-Based Generative Replay to Combat Catastrophic Forgetting in Malware Classification 5
MalDetectFormer: Leveraging Sparse SpatioTemporal Information for Effective Malicious Traffic Detection 3
Mamba YOLO: A Simple Baseline for Object Detection with State Space Model 5
Mamba-CAD: State Space Model for 3D Computer-Aided Design Generative Modeling 4
MambaLCT: Boosting Tracking via Long-term Context State Space Model 6
MambaPro: Multi-Modal Object Re-identification with Mamba Aggregation and Synergistic Prompt 5
Manhattan Self-Attention Diffusion Residual Networks with Dynamic Bias Rectification for BCI-based Few-Shot Learning 3
Manta: Enhancing Mamba for Few-Shot Action Recognition of Long Sub-Sequence 5
MapExpert: Online HD Map Construction with Simple and Efficient Sparse Map Element Expert 3
Mapping from Meaning: Addressing the Miscalibration of Prompt-Sensitive Language Models 5
Marginal Benefit Driven RL Teacher for Unsupervised Environment Design 2
Markov Balance Satisfaction Improves Performance in Strictly Batch Offline Imitation Learning 6
MaskPrompt: Open-Vocabulary Affordance Segmentation with Object Shape Mask Prompts 4
MaskViM: Domain Generalized Semantic Segmentation with State Space Models 3
Masked Language Modeling Becomes Conditional Density Estimation for Tabular Data Synthesis 6
Massively Parallel Continuous Local Search for Hybrid SAT Solving on GPUs 5
Matching While Perceiving: Enhance Image Feature Matching with Applicable Semantic Amalgamation 5
Math-PUMA: Progressive Upward Multimodal Alignment to Enhance Mathematical Reasoning 6
MathSpeech: Leveraging Small LMs for Accurate Conversion in Mathematical Speech-to-Formula 4
Max-Mahalanobis Anchors Guidance for Multi-View Clustering 5
Maximizing the Position Embedding for Vision Transformers with Global Average Pooling 4
McHirc: A Multimodal Benchmark for Chinese Idiom Reading Comprehension 3
MeRino: Entropy-Driven Design for Generative Language Models on IoT Devices 3
Measuring Human and AI Values Based on Generative Psychometrics with Large Language Models 3
Mechanism Design for Connecting Regions Under Disruptions 0
Mediation Analysis for Probabilities of Causation 2
Medical MLLM Is Vulnerable: Cross-Modality Jailbreak and Mismatched Attacks on Medical Multimodal Large Language Models 5
Medical Manifestation-Aware De-Identification 5
Medical Multimodal Model Stealing Attacks via Adversarial Domain Alignment 4
MegActor-Sigma: Unlocking Flexible Mixed-Modal Control in Portrait Animation with Diffusion Transformer 5
Meme Trojan: Backdoor Attacks Against Hateful Meme Detection via Cross-Modal Triggers 4
Memorize and Rank: Elevating Large Language Models for Clinical Diagnosis Prediction 1
Memory Efficient Matting with Adaptive Token Routing 5
Memory-Augmented Re-Completion for 3D Semantic Scene Completion 6
Mental-Perceiver: Audio-Textual Multi-Modal Learning for Estimating Mental Disorders 4
MergeNet: Knowledge Migration Across Heterogeneous Models, Tasks, and Modalities 3
Merging Mechanisms for Ads and Organic Items in E-commerce Platforms 0
Mesh Watermark Removal Attack and Mitigation: A Novel Perspective of Function Space 2
Mesoscopic Insights: Orchestrating Multi-Scale & Hybrid Architecture for Image Manipulation Localization 5
MetaNeRV: Meta Neural Representations for Videos with Spatial-Temporal Guidance 5
MetaSymNet: A Tree-like Symbol Network with Adaptive Architecture and Activation Functions 4
Metric Distortion of Line-up Elections: The Right Person for the Right Job 0
Metric-Agnostic Continual Learning for Sustainable Group Fairness 4
Micro-macro Wavelet-based Gaussian Splatting for 3D Reconstruction from Unconstrained Images 1
MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarity 3
Mind Individual Information! Principal Graph Learning for Multimedia Recommendation 3
Mind the Uncertainty in Human Disagreement: Evaluating Discrepancies Between Model Predictions and Human Responses in VQA 3
MindPainter: Efficient Brain-Conditioned Painting of Natural Images via Cross-Modal Self-Supervised Learning 3
MindTuner: Cross-Subject Visual Decoding with Visual Fingerprint and Semantic Correction 4
Minimal Change in Modal Logic S5 0
Mining In-distribution Attributes in Outliers for Out-of-distribution Detection 4
Mitigating Feature Gap for Adversarial Robustness by Feature Disentanglement 4
Mitigating Hallucinations in Large Vision-Language Models by Adaptively Constraining Information Flow 5
Mitigating Pervasive Modality Absence Through Multimodal Generalization and Refinement 3
Mitigating Social Bias in Large Language Models: A Multi-Objective Approach Within a Multi-Agent Framework 3
Mixed-Curvature Multi-Modal Knowledge Graph Completion 4
Mixture of Experts Based Multi-Task Supervise Learning from Crowds 3
Mixture of Experts as Representation Learner for Deep Multi-View Clustering 4
Mixture of Knowledge Minigraph Agents for Literature Review Generation 4
Mixture of Online and Offline Experts for Non-Stationary Time Series 4
Mixture-of-Attack-Experts with Class Regularization for Unified Physical-Digital Face Attack Detection 2
Mjölnir: Breaking the Shield of Perturbation-Protected Gradients via Adaptive Diffusion 3
MoDiTalker: Motion-Disentangled Diffusion Model for High-Fidelity Talking Head Generation 5
MoE-LPR: Multilingual Extension of Large Language Models Through Mixture-of-Experts with Language Priors Routing 3
MoLE:Decoding by Mixture of Layer Experts Alleviates Hallucination in Large Vision-Language Models 4
MoRe: Class Patch Attention Needs Regularization for Weakly Supervised Semantic Segmentation 5
Modality-Aware Shot Relating and Comparing for Video Scene Detection 5
Modality-Independent Graph Neural Networks with Global Transformers for Multimodal Recommendation 6
Model Lineage Closeness Analysis 5
ModelDiff: Symbolic Dynamic Programming for Model-Aware Policy Transfer in Deep Q-Learning 2
Modeling All Response Surfaces in One for Conditional Search Spaces 4
Modeling Inter-Intra Heterogeneity for Graph Federated Learning 2
Modeling Latent Non-Linear Dynamical System over Time Series 3
Modular-Cam: Modular Dynamic Camera-view Video Generation with LLM 1
Momentum Pseudo-Labeling for Weakly Supervised Phrase Grounding 4
Monitoring Primitive Interactions During the Training of DNNs 1
MonoBox: Tightness-Free Box-Supervised Polyp Segmentation Using Monotonicity Constraint 5
Moonshine: Distilling Game Content Generators into Steerable Generative Models 2
More Text, Less Point: Towards 3D Data-Efficient Point-Language Understanding 5
Motif Guided Graph Transformers with Combinatorial Skeleton Prototype Learning for Skeleton-Based Person Re-Identification 4
Motif-Oriented Representation Learning with Topology Refinement for Drug-Drug Interaction Prediction 4
Motif-aware Graph Neural Networks for Networked Time Series Imputation 3
Motion Artifact Removal in Pixel-Frequency Domain via Alternate Masks and Diffusion Model 4
Motion Decoupled 3D Gaussian Splatting for Dynamic Object Representation 2
Motion Prior Knowledge Learning with Homogeneous Language Descriptions for Moving Infrared Small Target Detection 3
Motion-Zero: A Zero-Shot Trajectory Control Framework of Moving Object for Diffusion-Based Video Generation 3
Motion-adaptive Transformer for Event-based Image Deblurring 5
Motion-aware Contrastive Learning for Temporal Panoptic Scene Graph Generation 3
MotionCraft: Crafting Whole-Body Motion with Plug-and-Play Multimodal Controls 3
Move and Act: Enhanced Object Manipulation and Background Integrity for Image Editing 3
MuMA-ToM: Multi-modal Multi-Agent Theory of Mind 3
Multi Agent Reinforcement Learning for Sequential Satellite Assignment Problems 3
Multi-Agent Motion Planning for Differential Drive Robots Through Stationary State Search 5
Multi-Apartment Rent Division 1
Multi-Attribute Multi-Grained Adaptation of Pre-Trained Language Models for Text Understanding from Bayesian Perspective 2
Multi-Branch Self-Drafting for LLM Inference Acceleration 6
Multi-Edge Reinforced Collaborative Data Acquisition for Continuous Video Analytics by Prioritizing Quality over Quantity 1
Multi-Focus Image Fusion via Explicit Defocus Blur Modelling 2
Multi-Frame Deformable Look-Up Table for Compressed Video Quality Enhancement 4
Multi-Grained Query-Guided Set Prediction Network for Grounded Multimodal Named Entity Recognition 5
Multi-Granular Multimodal Clue Fusion for Meme Understanding 1
Multi-Granularity Open Intent Classification via Adaptive Granular-Ball Decision Boundary 4
Multi-Granularity Video Object Segmentation 4
Multi-Label Few-Shot Image Classification via Pairwise Feature Augmentation and Flexible Prompt Learning 3
Multi-Label Ranking Loss Minimization for Matrix Completion 6
Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models 2
Multi-Modal Grounded Planning and Efficient Replanning for Learning Embodied Agents with a Few Examples 6
Multi-Modal Latent Variables for Cross-Individual Primary Visual Cortex Modeling and Analysis 2
Multi-Modal Recommendation Unlearning for Legal, Licensing, and Modality Constraints 5
Multi-Objective Evolution of Heuristic Using Large Language Model 6
Multi-Objective Molecular Design Through Learning Latent Pareto Set 3
Multi-Pair Temporal Sentence Grounding via Multi-Thread Knowledge Transfer Network 1
Multi-Perspective Consolidation Enhanced Cognitive Diagnosis via Conditional Diffusion Model 5
Multi-Reference Preference Optimization for Large Language Models 5
Multi-Robot Task Allocation Using Global Games with Negative Feedback: The Colony Maintenance Problem 3
Multi-Scale Contrastive Learning for Video Temporal Grounding 2
Multi-Shape Matching with Cycle Consistency Basis via Functional Maps 7
Multi-StyleGS: Stylized Gaussian Splatting with Multiple Styles 3
Multi-Teacher Knowledge Distillation with Reinforcement Learning for Visual Recognition 6
Multi-Turn Jailbreaking Large Language Models via Attention Shifting 3
Multi-View 3D Human Pose Estimation with Weakly Synchronized Images 2
Multi-View Collaborative Learning Network for Speech Deepfake Detection 4
Multi-View Empowered Structural Graph Wordification for Language Models 5
Multi-View Incremental Learning with Structured Hebbian Plasticity for Enhanced Fusion Efficiency 4
Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset 4
Multi-aspect Self-guided Deep Information Bottleneck for Multi-modal Clustering 6
Multi-axis Prompt and Multi-dimension Fusion Network for All-in-one Weather-degraded Image Restoration 4
Multi-clue Consistency Learning to Bridge Gaps Between General and Oriented Object in Semi-supervised Detection 5
Multi-concept Model Immunization through Differentiable Model Merging 4
Multi-fingered Hand Grasps with Visuo-Tactile Fusion via Multi-Agent Deep Reinforcement Learning 2
Multi-modal Deepfake Detection via Multi-task Audio-Visual Prompt Learning 4
Multi-modal and Multi-scale Spatial Environment Understanding for Immersive Visual Text-to-Speech 5
Multi-scale Activation, Refinement, and Aggregation: Exploring Diverse Cues for Fine-Grained Bird Recognition 5
Multi-task Visual Grounding with Coarse-to-Fine Consistency Constraints 4
Multi-to-Single: Reducing Multimodal Dependency in Emotion Recognition Through Contrastive Learning 4
Multi-type MOOCs Recommendation: Leveraging Deep Multi-Relational Representation and Hierarchical Reasoning 1
Multi-view Consistent 3D Panoptic Scene Understanding 3
Multi-view Evidential Learning-based Medical Image Segmentation 4
Multi-view Granular-ball Contrastive Clustering 5
MultiBooth: Towards Generating All Your Concepts in an Image from Text 3
MultiSFL: Towards Accurate Split Federated Learning via Multi-Model Aggregation and Knowledge Replay 4
Multifaceted User Modeling in Recommendation: A Federated Foundation Models Approach 4
Multilingual LLMs Inherently Reward In-Language Time-Sensitive Semantic Alignment for Low-Resource Languages 4
Multilingual Mathematical Reasoning: Advancing Open-Source LLMs in Hindi and English 3
Multimodal Class-aware Semantic Enhancement Network for Audio-Visual Video Parsing 4
Multimodal Fine-Grained Apparent Personality Trait Recognition: Joint Modeling of Big Five and Questionnaire Item-level Scores 4
Multimodal Fusion Using Multi-View Domains for Data Heterogeneity in Federated Learning 2
Multimodal Hypothetical Summary for Retrieval-based Multi-image Question Answering 4
Multimodal Promptable Token Merging for Diffusion Models 3
Multimodal Variational Autoencoder: A Barycentric View 2
Multiple Feature Refining Network for Visual Emotion Distribution Learning 3
Multiple Mean-Payoff Optimization Under Local Stability Constraints 3
Multiple Purchase Chains with Negative Transfer Elimination for Multi-Behavior Recommendation 3
Multiplex Graph Representation Learning with Homophily and Consistency 1
Multispectral Pedestrian Detection with Sparsely Annotated Label 4
Muses: 3D-Controllable Image Generation via Multi-Modal Agent Collaboration 6
M²N: A Progressive Macro-to-Micro 3D Modeling Scheme for Unveiling Drug-Target Affinity 4
M²RL-Net: Multi-View and Multi-Level Relation Learning Network for Weakly-Supervised Image Forgery Detection 4
NBA3D: Neighbor-Based Confidence Adjustment for 3D Rare Object Detection Using LiDAR 5
NEST: A Neuromodulated Small-world Hypergraph Trajectory Prediction Model for Autonomous Driving 2
NLGT: Neighborhood-based and Label-enhanced Graph Transformer Framework for Node Classification 5
NLSR: Neuron-Level Safety Realignment of Large Language Models Against Harmful Fine-Tuning 3
NOMATTERXAI: Generating “No Matter What” Alterfactual Examples for Explaining Black-Box Text Classification Models 5
NaviFormer: A Spatio-Temporal Context-Aware Transformer for Object Navigation 4
Navigating Label Ambiguity for Facial Expression Recognition in the Wild 4
Navigating Towards Fairness with Data Selection 4
NeSyCoCo: A Neuro-Symbolic Concept Composer for Compositional Generalization 5
Nearly Tight Bounds for Exploration in Streaming Multi-Armed Bandits with Known Optimality Gap 3
Nearly Tight Bounds on Approximate Equilibria in Spatial Competition on the Line 0
Neighbor Does Matter: Density-Aware Contrastive Learning for Medical Semi-supervised Segmentation 3
Neighborhood-Aware Negative Sampling for Student Knowledge and Behavior Modeling 4
Neural Assembler: Learning to Generate Fine-Grained Robotic Assembly Instructions from Multi-View Images 2
Neural Block Compression: Variable Bitrates Feature Blocks for Texture Representation 3
Neural Collapse Inspired Knowledge Distillation 2
Neural Combinatorial Clustered Bandits for Recommendation Systems 4
Neural Combinatorial Optimization for Stochastic Flexible Job Shop Scheduling Problems 5
Neural Conformal Control for Time Series Forecasting 5
Neural Conjugate Flows: A Physics-Informed Architecture with Flow Structure 3
Neural Control and Certificate Repair via Runtime Monitoring 4
Neural Reasoning Networks: Efficient Interpretable Neural Networks with Automatic Textual Explanations 3
Neural Reasoning for Sure Through Constructing Explainable Models 5
Neural Temporal Point Processes for Forecasting Directional Relations in Evolving Hypergraphs 4
Neural Variable-Order Fractional Differential Equation Networks 5
Neural-Symbolic Collaborative Distillation: Advancing Small Language Models for Complex Reasoning Tasks 5
NeuralFlix: A Simple While Effective Framework for Semantic Decoding of Videos from Non-invasive Brain Recordings 6
New Compilation Languages Based on Restricted Weak Decomposability 3
NightHaze: Nighttime Image Dehazing via Self-Prior Learning 1
NightReID: A Large-Scale Nighttime Person Re-Identification Benchmark 5
No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods 2
Noise-Injected Spiking Graph Convolution for Energy-Efficient 3D Point Cloud Denoising 5
Noise-Resilient Symbolic Regression with Dynamic Gating Reinforcement Learning 4
Noisy Node Classification by Bi-level Optimization Based Multi-Teacher Distillation 1
Non-stochastic Budgeted Online Pricing with Semi-Bandit Feedback 2
Normal-NeRF: Ambiguity-Robust Normal Estimation for Highly Reflective Scenes 5
Normalize Then Propagate: Efficient Homophilous Regularization for Few-Shot Semi-Supervised Node Classification 4
Novel View Synthesis Under Large-Deviation Viewpoint for Autonomous Driving 2
Novelty-Guided Data Reuse for Efficient and Diversified Multi-Agent Reinforcement Learning 3
Nuance Matters: Probing Epistemic Consistency in Causal Reasoning 4
NumbOD: A Spatial-Frequency Fusion Attack Against Object Detectors 3
Number Theoretic Accelerated Learning of Physics-Informed Neural Networks 4
Numerical Pruning for Efficient Autoregressive Models 4
OAC: Output-adaptive Calibration for Accurate Post-training Quantization 4
OAMaskFlow: Occlusion-Aware Motion Mask for Scene Flow 4
ODDN: Addressing Unpaired Data Challenges in Open-World Deepfake Detection on Online Social Networks 5
OGP-Net: Optical Guidance Meets Pixel-Level Contrastive Distillation for Robust Multi-Modal and Missing Modality Segmentation 3
OLMD: Orientation-aware Long-term Motion Decoupling for Continuous Sign Language Recognition 4
OLiDM: Object-aware LiDAR Diffusion Models for Autonomous Driving 3
OODML: Whole Slide Image Classification Meets Online Pseudo-Supervision and Dynamic Mutual Learning 4
OOTDiffusion: Outfitting Fusion Based Latent Diffusion for Controllable Virtual Try-On 5
OT-StainNet: Optimal Transport Driven Semantic Matching for Weakly Paired H&E-to-IHC Stain Transfer 5
OTIAS: OcTree Implicit Adaptive Sampling for Multispectral and Hyperspectral Image Fusion 7
OTPNet: ODE-inspired Tuning-free Proximal Network for Remote Sensing Image Fusion 3
OUS: Bridging Scene Context and Facial Features to Overcome the Rigid Cognitive Problem 4
OV-DQUO: Open-Vocabulary DETR with Denoising Text Query Training and Open-World Unknown Objects Supervision 4
ObjVariantEnsemble: Advancing Point Cloud LLM Evaluation in Challenging Scenes with Subtly Distinguished Objects 4
Object-level Geometric Structure Preserving for Natural Image Stitching 2
Occlusion-Embedded Hybrid Transformer for Light Field Super-Resolution 4
Occlusion-Insensitive Talking Head Video Generation via Facelet Compensation 4
Offline Multi-Agent Reinforcement Learning via In-Sample Sequential Policy Optimization 4
Offline Safe Reinforcement Learning Using Trajectory Classification 3
Offline-to-Online Hyperparameter Transfer for Stochastic Bandits 5
Omni-Query Active Learning for Source-Free Domain Adaptive Cross-Modality 3D Semantic Segmentation 4
OmniCount: Multi-label Object Counting with Semantic-Geometric Priors 2
OmniMark: Efficient and Scalable Latent Diffusion Model Fingerprinting 5
OmniSR: Shadow Removal Under Direct and Indirect Lighting 6
On Action Theories with Iterable First-Order Progression 0
On Corruption-Robustness in Performative Reinforcement Learning 2
On Designing the Optimal Integrated Ad Auction in E-commerce Platforms 3
On Effects of Steering Latent Representation for Large Language Model Unlearning 5
On Finding Hubs in High Dimensions with Sampling 5
On Local Overfitting and Forgetting in Deep Neural Networks 4
On Oversquashing in Graph Neural Networks Through the Lens of Dynamical Systems 3
On Probabilistic Truncation in Privacy-preserving Machine Learning 5
On Shallow Planning Under Partial Observability 4
On the Asymptotic Optimality of Confidence Interval Based Algorithms for Fixed Confidence MABs 2
On the Convergence of Tâtonnement for Linear Fisher Markets 2
On the Distortion of Committee Election with 1-Euclidean Preferences and Few Distance Queries 1
On the Expressiveness and Length Generalization of Selective State Space Models on Regular Languages 5
On the Hardness of Training Deep Neural Networks Discretely 1
On the Logic of Theory Base Change: Reformulation of Belief Bases 0
On the Modelling of Constraints with Tractable Logical Operators 3
On the Power of Convolution-Augmented Transformer 2
On the Power of Randomization for Obviously Strategy-Proof Mechanisms 1
On the Power of Strategic Corpus Enrichment in Content Creation Games 1
On the Robustness of Distributed Machine Learning Against Transfer Attacks 7
On the Trainability and Classical Simulability of Learning Matrix Product States Variationally 1
One Token Can Help! Learning Scalable and Pluggable Virtual Tokens for Retrieval-Augmented Large Language Models 5
One for Dozens: Adaptive REcommendation for All Domains with Counterfactual Augmentation 4
One-Shot Reference-based Structure-Aware Image to Sketch Synthesis 4
OneBatchPAM: A Fast and Frugal K-Medoids Algorithm 4
Online Fraud Detection via Test-Time Retrieval-Based Representation Enrichment 3
Online Guidance Graph Optimization for Lifelong Multi-Agent Path Finding 5
Online Learning of Coalition Structures by Selfish Agents 1
Online MDP with Prototypes Information: A Robust Adaptive Approach 2
Online Prompt Selection for Program Synthesis 2
Online and Streaming Algorithms for Constrained k-Submodular Maximization 4
Open Models, Closed Minds? On Agents Capabilities in Mimicking Human Personalities through Open Large Language Models 3
Open-Set Cross-Network Node Classification via Unknown-Excluded Adversarial Graph Domain Alignment 7
Open-Set Heterogeneous Domain Adaptation: Theoretical Analysis and Algorithm 2
Open-world Radio Frequency Fingerprint Identification via Augmented Semi-supervised Learning 4
OpenVIS: Open-vocabulary Video Instance Segmentation 5
OpenViewer: Openness-Aware Multi-View Learning 6
Operationalising Rawlsian Ethics for Fairness in Norm Learning Agents 3
Optimal Auction Design for Mixed Bidders 1
Optimal Bounds for Dissatisfaction in Perpetual Voting 0
Optimal Classification Trees for Continuous Feature Data Using Dynamic Programming with Branch-and-Bound 6
Optimal Control Operator Perspective and a Neural Adaptive Spectral Method 5
Optimal and Efficient Binary Questioning for Accelerated Annotation 3
Optimally Solving Simultaneous-Move Dec-POMDPs: The Sequential Central Planning Approach 5
Optimising Spatial Teamwork Under Uncertainty 2
Optimize Incompatible Parameters Through Compatibility-aware Knowledge Integration 1
Optimized Gradient Clipping for Noisy Label Learning 4
Optimizing Human Pose Estimation Through Focused Human and Joint Regions 4
Optimizing Label Assignment for Weakly Supervised Person Search 5
Optimizing Quantized Diffusion Models via Distillation with Cross-Timestep Error Correction 3
Orchestrating the Symphony of Prompt Distribution Learning for Human-Object Interaction Detection 3
Orpheus: Engineering Multiagent Systems via Communicating Agents 2
Ouroboros-Diffusion: Exploring Consistent Content Generation in Tuning-free Long Video Diffusion 3
Out of Length Text Recognition with Sub-String Matching 6
Out-of-Distribution Detection with Prototypical Outlier Proxy 5
Out-of-Distribution Generalization on Graphs via Progressive Inference 4
Overcoming Heterogeneous Data in Federated Medical Vision-Language Pre-training: A Triple-Embedding Model Selector Approach 5
PA3Fed: Period-Aware Adaptive Aggregation for Improved Federated Learning 4
PALM: Pushing Adaptive Learning Rate Mechanisms for Continual Test-Time Adaptation 5
PAT: Pruning-Aware Tuning for Large Language Models 5
PBECount: Prompt-Before-Extract Paradigm for Class-Agnostic Counting 4
PC-BEV: An Efficient Polar-Cartesian BEV Fusion Framework for LiDAR Semantic Segmentation 4
PCM Selector: Penalized Covariate-Mediator Selection Operator for Evaluating Linear Causal Effects 1
PDBs Go Numeric: Pattern-Database Heuristics for Simple Numeric Planning 6
PDDM: Pseudo Depth Diffusion Model for RGB-PD Semantic Segmentation Based in Complex Indoor Scenes 4
PEARL: Input-Agnostic Prompt Enhancement with Negative Feedback Regulation for Class-Incremental Learning 6
PEIE: Physics Embedded Illumination Estimation for Adaptive Dehazing 4
PHR-DIFF: Portrait Highlights Removal via Patch-aware Diffusion Model 4
PIXELS: Progressive Image Xemplar-based Editing with Latent Surgery 5
PLATYPUS: Progressive Local Surface Estimator for Arbitrary-Scale Point Cloud Upsampling 4
PNVC: Towards Practical INR-based Video Compression 3
POI Recommendation via Multi-Objective Adversarial Imitation Learning 4
POI-Enhancer: An LLM-based Semantic Enhancement Framework for POI Representation Learning 3
POPoS: Improving Efficient and Robust Facial Landmark Detection with Parallel Optimal Position Search 5
PRAGA: Prototype-aware Graph Adaptive Aggregation for Spatial Multi-modal Omics Analysis 4
PROSAC: Provably Safe Certification for Machine Learning Models under Adversarial Attacks 4
PSReg: Prior-guided Sparse Mixture of Experts for Point Cloud Registration 3
PScalpel: A Machine Learning-based Guider for Protein Phase-Separating Behaviour Alteration 4
PVTree: Realistic and Controllable Palm Vein Generation for Recognition Tasks 4
Paid with Models: Optimal Contract Design for Collaborative Machine Learning 1
Pamba: Enhancing Global Interaction in Point Clouds via State Space Model 4
PanAdapter: Two-Stage Fine-Tuning with Spatial-Spectral Priors Injecting for Pansharpening 4
PanoDiT: Panoramic Videos Generation with Diffusion Transformer 3
ParGo: Bridging Vision-Language with Partial and Global Views 6
ParZC: Parametric Zero-Cost Proxies for Efficient NAS 4
Parallel Greedy Best-First Search with a Bound on Expansions Relative to Sequential Search 5
Parallel-Learning of Invariant and Tempo-variant Attributes of Single-Lead Cardiac Signals: PLITA 4
Parameterized Complexity of Caching in Networks 0
Parametric ρ-Norm Scaling Calibration 3
Pareto Continual Learning: Preference-Conditioned Learning and Adaption for Dynamic Stability-Plasticity Trade-off 5
Pareto Set Learning for Multi-Objective Reinforcement Learning 2
ParseCaps: An Interpretable Parsing Capsule Network for Medical Image Diagnosis 7
Partial Point Cloud Registration with Multi-view 2D Image Learning 4
Partially Blinded Unlearning: Class Unlearning for Deep Networks from Bayesian Perspective 4
Patch-level Sounding Object Tracking for Audio-Visual Question Answering 4
PatentLMM: Large Multimodal Model for Generating Descriptions for Patent Figures 5
Path-Adaptive Matting for Efficient Inference Under Various Computational Cost Constraints 4
Pedestrian Attribute Recognition: A New Benchmark Dataset and a Large Language Model Augmented Framework 3
PerReactor: Offline Personalised Multiple Appropriate Facial Reaction Generation 5
Perception-Guided Jailbreak Against Text-to-Image Models 3
PersonaMagic: Stage-Regulated High-Fidelity Face Customization with Tandem Equilibrium 2
Personalized Clustering via Targeted Representation Learning 3
Personalized Dynamic Music Emotion Recognition with Dual-Scale Attention-Based Meta-Learning 5
Personalized Federated Collaborative Filtering: A Variational AutoEncoder Approach 5
Personalized Federated Learning for Spatio-Temporal Forecasting: A Dual Semantic Alignment-Based Contrastive Approach 2
Personalized Label Inference Attack in Federated Transfer Learning via Contrastive Meta Learning 5
Personalized Lip Reading: Adapting to Your Unique Lip Movements with Vision and Language 5
Personalized Sleep Staging Leveraging Source-free Unsupervised Domain Adaptation 6
Perturbating, Tuning, and Collaborating: Harnessing Vision Foundation Models for Single Domain Generalization on Medical Imaging 2
Phoneme-Level Feature Discrepancies: A Key to Detecting Sophisticated Speech Deepfakes 3
PhyCamo: A Robust Physical Camouflage via Contrastive Learning for Multi-View Physical Adversarial Attack 2
PhysDiff: Physiology-based Dynamicity Disentangled Diffusion Model for Remote Physiological Measurement 4
Physical Marker: Revealing Invisible Hyperlinks Hidden in Printed Trademarks 4
Physical-aware Neural Radiance Fields for Efficient Exposure Correction 4
Pinwheel-shaped Convolution and Scale-based Dynamic Loss for Infrared Small Target Detection 5
Pioneer: Physics-informed Riemannian Graph ODE for Entropy-increasing Dynamics 4
Pixel Is Not a Barrier: An Effective Evasion Attack for Pixel-Domain Diffusion Models 3
PixelMan: Consistent Object Editing with Diffusion Models via Pixel Manipulation and Generation 2
PlaNet: Learning to Mitigate Atmospheric Turbulence in Planetary Images 3
PlanLLM: Video Procedure Planning with Refinable Large Language Models 4
Planning from Imagination: Episodic Simulation and Episodic Memory for Vision-and-Language Navigation 4
Planning in the Dark: LLM-Symbolic Planning Pipeline Without Experts 3
Plug-and-Play Tri-Branch Invertible Block for Image Rescaling 4
Point Cloud Mamba: Point Cloud Learning via State Space Model 4
Point Cloud Semantic Segmentation with Sparse and Inhomogeneous Annotations 5
PointCFormer: A Relation-Based Progressive Feature Extraction Network for Point Cloud Completion 5
PointDGMamba: Domain Generalization of Point Cloud Classification via Generalized State Space Model 4
PointRWKV: Efficient RWKV-Like Model for Hierarchical Point Cloud Learning 4
PointTalk: Audio-Driven Dynamic Lip Point Cloud for 3D Gaussian-based Talking Head Synthesis 2
PokerBench: Training Large Language Models to Become Professional Poker Players 4
Polarization Guided Mask-Free Shadow Removal 1
Political Actor Agent: Simulating Legislative System for Roll Call Votes Prediction with Large Language Models 3
Poplar: Efficient Scaling of Distributed DNN Training on Heterogeneous GPU Clusters 4
Population Aware Diffusion for Time Series Generation 5
Portcullis: A Scalable and Verifiable Privacy Gateway for Third-Party LLM Inference 4
Pose Magic: Efficient and Temporally Consistent Human Pose Estimation with a Hybrid Mamba-GCN Network 4
Pose as a Modality: A Psychology-Inspired Network for Personality Recognition with a New Multimodal Dataset 4
PoseLLaVA: Pose Centric Multimodal LLM for Fine-Grained 3D Pose Manipulation 5
PoseMamba: Monocular 3D Human Pose Estimation with Bidirectional Global-Local Spatio-Temporal State Space Model 5
Position-Aware Guided Point Cloud Completion with CLIP Model 3
Power of Diversity: Enhancing Data-Free Black-Box Attack with Domain-Augmented Learning 4
PowerMLP: An Efficient Version of KAN 3
Practicable Black-Box Evasion Attacks on Link Prediction in Dynamic Graphs—a Graph Sequential Embedding Method 3
Practical Offloading for Fine-Tuning LLM on Commodity GPU via Learned Sparse Projectors 6
Pragmatist: Multiview Conditional Diffusion Models for High-Fidelity 3D Reconstruction from Unposed Sparse Views 2
Pre-Assignment Problem for Unique Minimum Vertex Cover on Bounded Clique-Width Graphs 0
Pre-Training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck 4
Pre-training a Density-Aware Pose Transformer for Robust LiDAR-based 3D Human Pose Estimation 5
Precision-Enhanced Human-Object Contact Detection via Depth-Aware Perspective Interaction and Object Texture Restoration 2
Predicting User Behavior in Smart Spaces with LLM-Enhanced Logs and Personalized Prompts 5
Predicting the Original Appearance of Damaged Historical Documents 5
Prediction-Based Adaptive Variable Ordering Heuristics for Constraint Satisfaction Problems 7
Prediction-Feedback DETR for Temporal Action Detection 3
Preference-Oriented Supervised Fine-Tuning: Favoring Target Model over Aligned Large Language Models 2
PriFold: Biological Priors Improve RNA Secondary Structure Predictions 4
Prior-guided Hierarchical Harmonization Network for Efficient Image Dehazing 3
PrivDNFIS: Privacy-preserving and Efficient Deep Neuro-Fuzzy Inference System 4
Privacy-Preserving Low-Rank Adaptation Against Membership Inference Attacks for Latent Diffusion Models 6
Privacy-Preserving V2X Collaborative Perception Integrating Unknown Collaborators 3
Privacy-and-Utility-Aware Publishing of Schedules 4
Private Blotto: Viewpoint Competition with Polarized Agents 1
ProPose: Probabilistic 3D Human Pose Estimation with Instance-Level Distribution and Normalizing Flow 5
Proactive and Reactive Constraint Programming for Stochastic Project Scheduling with Maximal Time-Lags 5
Probabilistic Explanations for Linear Models 1
Probabilistic Shielding for Safe Reinforcement Learning 1
Probabilistic Strategy Logic with Degrees of Observability 0
Probability-Density-aware Semi-supervised Learning 5
ProcTag: Process Tagging for Assessing the Efficacy of Document Instruction Data 4
Procedure Knowledge Decoupled Distillation Strategy for Procedure Planning in Instructional Videos 4
Progressive Distribution Matching for Federated Semi-Supervised Learning 4
Progressive Multi-granular Alignments for Grounded Reasoning in Large Vision-Language Models 4
Progressive Self-Learning for Domain Adaptation on Symbolic Regression of Integer Sequences 5
Promising Multi-Granularity Linguistic Steganography by Jointing Syntactic and Lexical Manipulations 4
Promoting Knowledge Base Question Answering by Directing LLMs to Generate Task-relevant Logical Forms 3
Prompt Compression with Context-Aware Sentence Encoding for Fast and Improved LLM Inference 6
Prompt Tuning In a Compact Attribute Space 5
Prompt-SID: Learning Structural Representation Prompt via Latent Diffusion for Single Image Denoising 5
Prompt-based Unifying Inference Attack on Graph Neural Networks 4
PromptDet: A Lightweight 3D Object Detection Framework with LiDAR Prompts 5
PromptHaze: Prompting Real-world Dehazing via Depth Anything Model 3
Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning 4
Promptable Representation Distribution Learning and Data Augmentation for Gigapixel Histopathology WSI Analysis 6
Proof Simulation via Round-based Strategy Extraction for QBF 0
Proportional Representation in Practice: Quantifying Proportionality in Ordinal Elections 1
Proportionally Fair Makespan Approximation 1
Proportionally Fair Matching via Randomized Rounding 1
ProsodyFM: Unsupervised Phrasing and Intonation Control for Intelligible Speech Synthesis 5
ProsodyTalker: 3D Visual Speech Animation via Prosody Decomposition 1
ProtCLIP: Function-Informed Protein Multi-Modal Learning 4
Protecting Model Adaptation from Trojans in the Unlabeled Data 4
ProtoArgNet: Interpretable Image Classification with Super-Prototypes and Argumentation 3
ProtoCar: Learning 3D Vehicle Prototypes from Single-View and Unconstrained Driving Scene Images 3
ProtoOcc: Accurate, Efficient 3D Occupancy Prediction Using Dual Branch Encoder-Prototype Query Decoder 5
Prototype-Guided Multimodal Relation Extraction based on Entity Attributes 2
Prototypical Calibrating Ambiguous Samples for Micro-Action Recognition 3
Prototypical Replay with Old-class Focusing Knowledge Distillation for Incremental Named Entity Recognition 4
Provable Discriminative Hyperspherical Embedding for Out-of-Distribution Detection 4
Provably Secure Image Robust Steganography via Cross-modal Error Correction 5
Pruning Large Language Models with Semi-Structural Adaptive Sparse Training 4
Pseudo Informative Episode Construction for Few-Shot Class-Incremental Learning 4
Public Opinion Field Effect and Hawkes Process Join Hands for Information Popularity Prediction 4
Putting People in LLMs’ Shoes: Generating Better Answers via Question Rewriter 5
Q-MAML: Quantum Model-Agnostic Meta-Learning for Variational Quantum Algorithms 2
QCS:Feature Refining from Quadruplet Cross Similarity for Facial Expression Recognition 5
QJL: 1-Bit Quantized JL Transform for KV Cache Quantization with Zero Overhead 5
QORT-Former: Query-optimized Real-time Transformer for Understanding Two Hands Manipulating Objects 2
QiMLP: Quantum-inspired Multilayer Perceptron with Strong Correlation Mining and Parameter Compression 3
QiMeng-GEMM: Automatically Generating High-Performance Matrix Multiplication Code by Exploiting Large Language Models 4
Qsco: A Quantum Scoring Module for Open-Set Supervised Anomaly Detection 5
QuARF: Quality-Adaptive Receptive Fields for Degraded Image Perception 3
Qua2SeDiMo: Quantifiable Quantization Sensitivity of Diffusion Models 3
Quantified Linear and Polynomial Arithmetic Satisfiability via Template-based Skolemization 5
Quantitative Predictive Monitoring and Control for Safe Human-Machine Interaction 4
Quantum-inspired Non-homologous Representation Constraint Mechanism for Long-tail Senses of Word Sense Disambiguation 5
Queries, Representation & Detection: The Next 100 Model Fingerprinting Schemes 6
Query Quantized Neural SLAM 2
Query-centric Audio-Visual Cognition Network for Moment Retrieval, Segmentation and Step-Captioning 4
Query-efficient Attack for Black-box Image Inpainting Forensics via Reinforcement Learning 4
Queryable Prototype Multiple Instance Learning with Vision-Language Models for Incremental Whole Slide Image Classification 5
Quickest Detection of Adversarial Attacks Against Correlated Equilibria 4
R-DTI: Drug Target Interaction Prediction Based on Second-Order Relevance Exploration 4
RA-GAR: A Richly Annotated Benchmark for Gait Attribute Recognition 3
RA-SGG: Retrieval-Augmented Scene Graph Generation Framework via Multi-Prototype Learning 3
RAGG: Retrieval-Augmented Grasp Generation Model 3
RAP-SR: RestorAtion Prior Enhancement in Diffusion Models for Realistic Image Super-Resolution 7
RAT: Adversarial Attacks on Deep Reinforcement Agents for Targeted Behaviors 2
RATT: A Thought Structure for Coherent and Correct LLM Reasoning 5
RAZOR: Sharpening Knowledge by Cutting Bias with Unsupervised Text Rewriting 3
RCTrans: Radar-Camera Transformer via Radar Densifier and Sequential Decoder for 3D Object Detection 5
RDPI: A Refine Diffusion Probability Generation Method for Spatiotemporal Data Imputation 2
REGNav: Room Expert Guided Image-Goal Navigation 5
REM: A Scalable Reinforced Multi-Expert Framework for Multiplex Influence Maximization 3
REPEAT: Improving Uncertainty Estimation in Representation Learning Explainability 3
RESQUE: Quantifying Estimator to Task and Distribution Shift for Sustainable Model Reusability 6
RETQA: A Large-Scale Open-Domain Tabular Question Answering Dataset for Real Estate Sector 4
RETRACTED: GEONet: Global Enhancement and Optimization Network for Lane Detection 3
REVECA: Adaptive Planning and Trajectory-Based Validation in Cooperative Language Agents Using Information Relevance and Relative Proximity 2
RFL: Simplifying Chemical Structure Recognition with Ring-Free Language 5
RGBT Tracking via All-layer Multimodal Interactions with Progressive Fusion Mamba 4
RHanDS: Refining Malformed Hands for Generated Images with Decoupled Structure and Style Guidance 5
RI-MAE: Rotation-Invariant Masked AutoEncoders for Self-Supervised Point Cloud Representation Learning 6
RILQ: Rank-Insensitive LoRA-Based Quantization Error Compensation for Boosting 2-Bit Large Language Model Accuracy 2
RLPF: Reinforcement Learning from Prediction Feedback for User Summarization with LLMs 3
RMath: A Logic Reasoning-Focused Datasets Toward Mathematical Multistep Reasoning Tasks 3
RP-PGD: Boosting Segmentation Robustness with a Region-and-Prototype Based Adversarial Attack 4
RRT-MVS: Recurrent Regularization Transformer for Multi-View Stereo 4
RUNA: Object-Level Out-of-Distribution Detection via Regional Uncertainty Alignment of Multimodal Representations 2
R^2-Art: Category-Level Articulation Pose Estimation from Single RGB Image via Cascade Render Strategy 4
RaCMC: Residual-Aware Compensation Network with Multi-Granularity Constraints for Fake News Detection 4
RaDIO: Real-Time Hallucination Detection with Contextual Index Optimized Query Formulation for Dynamic Retrieval Augmented Generation 4
Radiology Report Generation via Multi-objective Preference Optimization 4
Rapid Learning in Constrained Minimax Games with Negative Momentum 4
Rare Event Detection in Imbalanced Multi-Class Datasets Using an Optimal MIP-Based Ensemble Weighting Approach 6
Re-Attentional Controllable Video Diffusion Editing 3
Re2LLM: Reflective Reinforcement Large Language Model for Session-based Recommendation 5
ReFF: Reinforcing Format Faithfulness in Language Models Across Varied Tasks 5
ReMask-Animate: Refined Character Image Animation Using Mask-Guided Adapters 4
ReMoGPT: Part-Level Retrieval-Augmented Motion-Language Models 4
ReX: A Framework for Incorporating Temporal Information in Model-Agnostic Local Explanation Techniques 3
ReactGPT: Understanding of Chemical Reactions via In-Context Tuning 3
Read, Watch and Scream! Sound Generation from Text and Video 5
Ready for You When You Are Back: Content-Driven Session-Based Recommendation for Continuity of Experience 3
Real-Time Calibration Model for Low-Cost Sensor in Fine-Grained Time Series 5
Real-Time Neural Denoising with Render-Aware Knowledge Distillation 3
Real-Time Recurrent Reinforcement Learning 4
RealPortrait: Realistic Portrait Animation with Diffusion Transformers 5
RealisHuman: A Two-Stage Approach for Refining Malformed Human Parts in Generated Images 6
RealisID: Scale-Robust and Fine-Controllable Identity Customization via Local and Global Complementation 3
Realistic Noise Synthesis with Diffusion Models 6
Reasoning About Actual Causes in Nondeterministic Domains 0
Reasoning over Uncertain Text by Generative Large Language Models 3
Rebalancing Multi-Label Class-Incremental Learning 4
Reconsidering Feature Structure Information and Latent Space Alignment in Partial Multi-label Feature Selection 4
Reconstruction Target Matters in Masked Image Modeling for Cross-Domain Few-Shot Learning 3
Recording for Eyes, Not Echoing to Ears: Contextualized Spoken-to-Written Conversion of ASR Transcripts 1
Recoverable Compression: A Multimodal Vision Token Recovery Mechanism Guided by Text Information 4
Recoverable Facial Identity Protection via Adaptive Makeup Transfer Adversarial Attacks 4
Rectified Lagrangian for Out-of-Distribution Detection in Modern Hopfield Networks 2
Recursive Aggregates as Intensional Functions in Answer Set Programming: Semantics and Strong Equivalence 0
Reducing AUV Energy Consumption Through Dynamic Sensor Directions Switching via Deep Reinforcement Learning 2
Reducing Divergence in Batch Normalization for Domain Adaptation 3
Reducing Leximin Fairness to Utilitarian Optimization 1
RefDetector: A Simple Yet Effective Matching-based Method for Referring Expression Comprehension 4
Refine then Classify: Robust Graph Neural Networks with Reliable Neighborhood Contrastive Refinement 3
RegMixMatch: Optimizing Mixup Utilization in Semi-Supervised Learning 6
Region-Based Optimization in Continual Learning for Audio Deepfake Detection 6
Region-aware Difference Distilling with Attribute-guided Contrastive Regularization for Change Captioning 3
Regional Expected Improvement for Efficient Trust Region Selection in High-Dimensional Bayesian Optimization 4
Regret Analysis of Multi-task Representation Learning for Linear-Quadratic Adaptive Control 2
Reinforced Multi-teacher Knowledge Distillation for Efficient General Image Forgery Detection and Localization 5
Relation Also Knows: Rethinking the Recall and Editing of Factual Associations in Auto-Regressive Transformer Language Models 2
Relation-Aware Equivariant Graph Networks for Epitope-Unknown Antibody Design and Specificity Optimization 5
Relation-aware Hierarchical Prompt for Open-vocabulary Scene Graph Generation 5
Relational Neurosymbolic Markov Models 3
Relaxed Class-consensus Consistency for Semi-supervised Semantic Segmentation 5
Relaxed Rotational Equivariance via G-Biases in Vision 4
Relieving Universal Label Noise for Unsupervised Visible-Infrared Person Re-Identification by Inferring from Neighbors 4
RemDet: Rethinking Efficient Model Design for UAV Object Detection 4
RepFace: Refining Closed-Set Noise with Progressive Label Correction for Face Recognition 4
RepeatLeakage: Leak Prompts from Repeating as Large Language Model Is a Good Repeater 5
Replacing Paths with Connection-Biased Attention for Knowledge Graph Completion 2
Replicating Electoral Success 2
Replication-proof Bandit Mechanism Design with Bayesian Agents 1
Representation Learning Based Predicate Invention on Knowledge Graphs 5
Representation Space Augmentation for Effective Self-Supervised Learning on Tabular Data 4
Representing Sounds as Neural Amplitude Fields: A Benchmark of Coordinate-MLPs and a Fourier Kolmogorov-Arnold Framework 3
Reputation-aware Revenue Allocation for Auction-based Federated Learning 2
ResAdapter: Domain Consistent Resolution Adapter for Diffusion Models 4
ResMaster: Mastering High-Resolution Image Generation via Structural and Fine-Grained Guidance 4
Residual Diffusion Deblurring Model for Single Image Defocus Deblurring 4
Resolving Multi-Condition Confusion for Finetuning-Free Personalized Image Generation 3
Resource Constrained Pathfinding with Enhanced Bidirectional A* Search 7
Responsibility-aware Strategic Reasoning in Probabilistic Multi-Agent Systems 1
Responsive Dynamic Graph Disentanglement for Metro Flow Forecasting 5
Restabilizing Diffusion Models with Predictive Noise Fusion Strategy for Image Super-Resolution 6
Rethinking Byzantine Robustness in Federated Recommendation from Sparse Aggregation Perspective 2
Rethinking Cancer Gene Identification Through Graph Anomaly Analysis 4
Rethinking High-speed Image Reconstruction Framework with Spike Camera 5
Rethinking Masked Data Reconstruction Pretraining for Strong 3D Action Representation Learning 3
Rethinking Open-Vocabulary Segmentation of Radiance Fields in 3D Space 3
Rethinking Pseudo-Label Guided Learning for Weakly Supervised Temporal Action Localization from the Perspective of Noise Correction 3
Rethinking Transformer-Based Blind-Spot Network for Self-Supervised Image Denoising 5
Rethinking U-Net: Task-Adaptive Mixture of Skip Connections for Enhanced Medical Image Segmentation 5
Rethinking the Starting Point: Collaborative Pre-Training for Federated Downstream Tasks 3
RetouchGPT: LLM-based Interactive High-Fidelity Face Retouching via Imperfection Prompting 4
Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning 5
Retrieval-Augmented Visual Question Answering via Built-in Autoregressive Search Engines 5
Revelations: A Decidable Class of POMDPs with Omega-Regular Objectives 2
Reverse Distribution Based Video Moment Retrieval for Effective Bias Elimination 3
Reverse Region-to-Entity Annotation for Pixel-Level Visual Entity Linking 3
Revisiting CAD Model Generation by Learning Raster Sketch 4
Revisiting Change Captioning from Self-supervised Global-Part Alignment 4
Revisiting Graph Contrastive Learning on Anomaly Detection: A Structural Imbalance Perspective 3
Revisiting Multimodal Emotion Recognition in Conversation from the Perspective of Graph Spectrum 6
Revisiting Multimodal Fusion for 3D Anomaly Detection from an Architectural Perspective 5
Revisiting Tampered Scene Text Detection in the Era of Generative AI 4
Revolutionizing Encrypted Traffic Classification with MH-Net: A Multi-View Heterogeneous Graph Model 5
RhythmMamba: Fast, Lightweight, and Accurate Remote Physiological Measurement 5
Riemann-based Multi-scale Attention Reasoning Network for Text-3D Retrieval 3
Riemannian Geometric-based Meta Learning 6
RingFormer: A Ring-Enhanced Graph Transformer for Organic Solar Cell Property Prediction 3
Risk-averse Total-reward MDPs with ERM and EVaR 4
RoDA: Robust Domain Alignment for Cross-Domain Retrieval Against Label Noise 3
RoPaSS: Robust Watermarking for Partial Screen-Shooting Scenarios 3
RoVRM: A Robust Visual Reward Model Optimized via Auxiliary Textual Preference Data 3
Robust Graph Based Social Recommendation Through Contrastive Multi-View Learning 4
Robust Heterogeneous Graph Classification for Molecular Property Prediction with Information Bottleneck 4
Robust Image Hashing Based on Contrastive Masked Autoencoder with Weak-Strong Augmentation Alignment 3
Robust Logit Adjustment for Learning with Long-Tailed Noisy Data 2
Robust Performance Incentivizing Algorithms for Multi-Armed Bandits with Strategic Agents 1
Robust SAM: On the Adversarial Robustness of Vision Foundation Models 3
Robust Self-Paced Hashing for Cross-Modal Retrieval with Noisy Labels 4
Robust Tracking via Mamba-based Context-aware Token Learning 6
Robust and Consistent Online Video Instance Segmentation via Instance Mask Propagation 2
RouterRetriever: Routing over a Mixture of Expert Embedding Models 5
Rule-Guided Graph Neural Networks for Explainable Knowledge Graph Reasoning 4
Runtime Analysis for Multi-Objective Evolutionary Algorithms in Unbounded Integer Spaces 3
S-INF: Towards Realistic Indoor Scene Synthesis via Scene Implicit Neural Field 4
S2S2: Semantic Stacking for Robust Semantic Segmentation in Medical Imaging 3
SADBA: Self-Adaptive Distributed Backdoor Attack Against Federated Learning 4
SAFIRE: Segment Any Forged Image Region 3
SAIL: Sample-Centric In-Context Learning for Document Information Extraction 4
SAM-Aware Graph Prompt Reasoning Network for Cross-Domain Few-Shot Segmentation 4
SAP: Corrective Machine Unlearning with Scaled Activation Projection for Label Noise Robustness 4
SAUGE: Taming SAM for Uncertainty-Aligned Multi-Granularity Edge Detection 4
SCALM: Detecting Bad Practices in Smart Contracts Through LLMs 5
SCANS: Mitigating the Exaggerated Safety for LLMs via Safety-Conscious Activation Steering 6
SCCS: Deep Neural Spectral Clustering for Self-Supervised Subcellular Structure Segmentation 4
SCKD: Semi-Supervised Cross-Modality Knowledge Distillation for 4D Radar Object Detection 5
SCOPE: Sign Language Contextual Processing with Embedding from LLMs 5
SCott: Accelerating Diffusion Models with Stochastic Consistency Distillation 4
SEAS: Self-Evolving Adversarial Safety Optimization for Large Language Models 4
SECodec: Structural Entropy-based Compressive Speech Representation Codec for Speech Language Models 6
SELF-[IN]CORRECT: LLMs Struggle with Discriminating Self-Generated Responses 3
SGDiff: Scene Graph Guided Diffusion Model for Image Collaborative SegCaptioning 4
SGFormer: Semantic-Geometry Fusion Transformer for Multi-modal 3D Panoptic Segmentation 3
SGTC: Semantic-Guided Triplet Co-training for Sparsely Annotated Semi-Supervised Medical Image Segmentation 4
SIDL: A Real-World Dataset for Restoring Smartphone Images with Dirty Lenses 3
SIGMA: Selective Gated Mamba for Sequential Recommendation 4
SIGraph: Saliency Image-Graph Network for Retinal Disease Classification in Fundus Image 4
SKI Models: Skeleton Induced Vision-Language Embeddings for Understanding Activities of Daily Living 5
SLACE: A Monotone and Balance-Sensitive Loss Function for Ordinal Regression 4
SLIP: Spoof-Aware One-Class Face Anti-Spoofing with Language Image Pretraining 4
SLR-MVTC: Smooth Low-Rank Multi-View Tensor Clustering 6
SLRL: Semi-Supervised Local Community Detection Based on Reinforcement Learning 5
SMMF: Square-Matricized Momentum Factorization for Memory-Efficient Optimization 4
SMR-Net: Semantic-Guided Mutually Reinforcing Network for Cross-Modal Image Fusion and Salient Object Detection 4
SMamba: Sparse Mamba for Event-based Object Detection 1
SOLA-GCL: Subgraph-Oriented Learnable Augmentation Method for Graph Contrastive Learning 1
SORREL: Suboptimal-Demonstration-Guided Reinforcement Learning for Learning to Branch 4
SOVGaussian: Sparse-View 3D Gaussian Splatting for Open-Vocabulary Scene Understanding 5
SPAC: Sparse Partitioning and Adaptive Core Tensor Pruning Model for Knowledge Graph Completion 3
SPACETIME: Causal Discovery from Non-Stationary Time Series 4
SPU-IMR: Self-supervised Arbitrary-scale Point Cloud Upsampling via Iterative Mask-recovery Network 5
SQLFixAgent: Towards Semantic-Accurate Text-to-SQL Parsing via Consistency-Enhanced Multi-Agent Collaboration 6
SR-FoT: A Syllogistic-Reasoning Framework of Thought for Large Language Models Tackling Knowledge-based Reasoning Tasks 4
SS-GEN: A Social Story Generation Framework with Large Language Models 5
SSAN: A Symbol Spatial-Aware Network for Handwritten Mathematical Expression Recognition 4
SSC-VAE: Structured Sparse Coding Based Variational Autoencoder for Detail Preserved Image Reconstruction 5
SSE-SAM: Balancing Head and Tail Classes Gradually Through Stage-Wise SAM 5
SSL-STMFormer Self-Supervised Learning Spatio-Temporal Entanglement Transformer for Traffic Flow Prediction 4
SSLFusion: Scale and Space Aligned Latent Fusion Model for Multimodal 3D Object Detection 5
SSUN-Net: Spatial-Spectral Prior-Aware Unfolding Network for Pan-Sharpening 3
ST-FiT: Inductive Spatial-Temporal Forecasting with Limited Training Data 4
ST-ReP: Learning Predictive Representations Efficiently for Spatial-Temporal Forecasting 4
ST3: Accelerating Multimodal Large Language Model by Spatial-Temporal Visual Token Trimming 3
STAIR: Manipulating Collaborative and Multimodal Information for E-Commerce Recommendation 5
STAMPsy: Towards SpatioTemporal-Aware Mixed-Type Dialogues for Psychological Counseling 3
STD-PLM: Understanding Both Spatial and Temporal Properties of Spatial-Temporal Data with PLM 6
STEM-LTS: Integrating Semantic-Temporal Dynamics in LLM-driven Time Series Analysis 4
STGC-NeRF: Spatial-Temporal Geometric Consistency for LiDAR Neural Radiance Fields in Dynamic Scenes 4
STLC-KG:A Social Text Steganalysis Method Combining Large-Scale Language Models and Common-Sense Knowledge Graphs 3
STraj: Self-training for Bridging the Cross-Geography Gap in Trajectory Prediction 6
SUMI-IFL: An Information-Theoretic Framework for Image Forgery Localization with Sufficiency and Minimality Constraints 4
SUMO: Search-Based Uncertainty Estimation for Model-Based Offline Reinforcement Learning 4
SUTrack: Towards Simple and Unified Single Object Tracking 6
SVGBuilder: Component-Based Colored SVG Generation with Text-Guided Autoregressive Transformers 2
SVRMamba: Slice-to-Volume Reconstruction from Multiple MRI Stacks with Slice Sequence Guided Mamba 4
SVTformer: Spatial-View-Temporal Transformer for Multi-View 3D Human Pose Estimation 5
SVasP: Self-Versatility Adversarial Style Perturbation for Cross-Domain Few-Shot Learning 6
SWAMamba: A Sliding Window Attention Mamba Framework for Predicting Translation Elongation Rates 3
SWEA: Updating Factual Knowledge in Large Language Models via Subject Word Embedding Altering 3
S^3cMath: Spontaneous Step-Level Self-Correction Makes Large Language Models Better Mathematical Reasoners 4
Safe Online Convex Optimization with Heavy-Tailed Observation Noises 1
Safe Planner: Empowering Safety Awareness in Large Pre-Trained Models for Robot Task Planning 3
SalM²: An Extremely Lightweight Saliency Mamba Model for Real-Time Cognitive Awareness of Driver Attention 4
Salient Frequency-aware Exemplar Compression for Resource-constrained Online Continual Learning 3
Sample Complexity of Linear Regression Models for Opinion Formation in Networks 2
Sample-aware Adaptive Structured Pruning for Large Language Models 3
SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery 5
Scaffold-BPE: Enhancing Byte Pair Encoding for Large Language Models with Simple and Effective Scaffold Token Removal 3
Scalable Acceleration for Classification-Based Derivative-Free Optimization 4
Scalable Decentralized Algorithms for Online Personalized Mean Estimation 4
Scalable Federated One-Step Multi-View Clustering with Tensorized Regularization 3
Scalable Knowledge Refactoring Using Constrained Optimisation 5
Scalable One-Pass Incomplete Multi-View Clustering by Aligning Anchors 4
Scalable Quantum-Inspired Optimization Through Dynamic Qubit Compression 4
Scalable Surrogate Verification of Image-Based Neural Network Control Systems Using Composition and Unrolling 2
Scalable Trajectory-User Linking with Dual-Stream Representation Networks 5
ScaleMatch: Multi-scale Consistency Enhancement for Semi-supervised Semantic Segmentation 5
ScaleOT: Privacy-utility-scalable Offsite-tuning with Dynamic LayerReplace and Selective Rank Compression 3
Scaling Combinatorial Optimization Neural Improvement Heuristics with Online Search and Adaptation 5
Scaling Diffusion Mamba with Bidirectional SSMs for Efficient 3D Shape Generation 2
Scenario-Based Robust Optimization of Tree Structures 4
Scene Graph-Grounded Image Generation 5
SceneX: Procedural Controllable Large-Scale Scene Generation 3
ScholarGEC: Enhancing Controllability of Large Language Model for Chinese Academic Grammatical Error Correction 4
ScoreNet: Consistency-driven Framework with Multi-side Information Fusion for Session-based Recommendation 4
ScreenMark: Watermarking Arbitrary Visual Content on Screen 4
SdalsNet: Self-Distilled Attention Localization and Shift Network for Unsupervised Camouflaged Object Detection 5
SeFAR: Semi-supervised Fine-grained Action Recognition with Temporal Perturbation and Learning Stabilization 4
Search Strategy Generation for Branch and Bound Using Genetic Programming 6
Searching for and Avoiding Hidden Sets Using Queries with Local Feedback 1
Security Attacks on LLM-based Code Completion Tools 1
See Through Their Minds: Learning Transferable Brain Decoding Models from Cross-Subject fMRI 4
SeeDiff: Off-the-Shelf Seeded Mask Generation from Diffusion Models 5
Seeing Beyond Noise: Joint Graph Structure Evaluation and Denoising for Multimodal Recommendation 2
Seeing Your Speech Style: A Novel Zero-Shot Identity-Disentanglement Face-based Voice Conversion 4
Seg2Box: 3D Object Detection by Point-Wise Semantics Supervision 4
SegFace: Face Segmentation of Long-Tail Classes 5
Segment Any 3D Gaussians 2
Selective Forgetting: Advancing Machine Unlearning Techniques and Evaluation in Language Models 3
Selective Uncertainty Propagation in Offline RL 3
Selective Visual Prompting in Vision Mamba 4
Self-Attentive Spatio-Temporal Calibration for Precise Intermediate Layer Matching in ANN-to-SNN Distillation 4
Self-Corrected Flow Distillation for Consistent One-Step and Few-Step Image Generation 5
Self-Correcting Robot Manipulation via Gaussian-Splatted Foresight 5
Self-Evolutionary Large Language Models Through Uncertainty-Enhanced Preference Optimization 4
Self-Explainable Graph Transformer for Link Sign Prediction 5
Self-Prompting Analogical Reasoning for UAV Object Detection 4
Self-Supervised Collaborative Information Bottleneck for Text Readability Assessment 4
Self-attention-based Diffusion Model for Time-series Imputation in Partial Blackout Scenarios 3
Self-supervised Trusted Contrastive Multi-view Clustering with Uncertainty Refined 6
SemStereo: Semantic-Constrained Stereo Matching Network for Remote Sensing 4
Semantic Ambiguity Modeling and Propagation for Fine-Grained Visual Cross View Geo-Localization 3
Semantic Convergence: Harmonizing Recommender Systems via Two-Stage Alignment and Behavioral Semantic Tokenization 2
Semantic Enhanced Heterogeneous Hypergraph Network for Collaborative Filtering 5
Semantic Segmentation on Raindrop Degraded Images Using Two-Stage Dual Teacher-Student Learning 2
Semantic-guided Masked Mutual Learning for Multi-modal Brain Tumor Segmentation with Arbitrary Missing Modalities 5
Semi-IIN: Semi-Supervised Intra-Inter Modal Interaction Learning Network for Multimodal Sentiment Analysis 5
Semi-Implicit Neural Ordinary Differential Equations 3
Semi-Supervised Clustering Framework for Fine-grained Scene Graph Generation 5
Semi-Supervised Multi-View Multi-Label Learning with View-Specific Transformer and Enhanced Pseudo-Label 4
Semi-Supervised Multimodal Classification Through Learning from Modal and Strategic Complementarities 3
Semi-Supervised Online Cross-Modal Hashing 3
Semi-supervised 3D Semantic Scene Completion with 2D Vision Foundation Model Guidance 3
Semi-supervised Infrared Small Target Detection with Thermodynamic-Inspired Uneven Perturbation and Confidence Adaptation 4
SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning 7
Sensing Surface Patches in Volume Rendering for Inferring Signed Distance Functions 3
Sentence-level Aggregation of Lexical Metrics Correlates Stronger with Human Judgements than Corpus-level Aggregation 4
Separating the Wheat from the Chaff: Spatio-Temporal Transformer with View-interweaved Attention for Photon-Efficient Depth Sensing 2
Sequence Accumulation and Beyond: Infinite Context Length on Single GPU and Large Clusters 5
Sequence Complementor: Complementing Transformers for Time Series Forecasting with Learnable Sequences 3
Sequence Matters: Harnessing Video Models in 3D Super-Resolution 4
Sequential Conditional Transport on Probabilistic Graphs for Interpretable Counterfactual Fairness 3
Sequential Joint Dependency Aware Human Pose Estimation with State Space Model 6
Sharpening Neural Implicit Functions with Frequency Consolidation Priors 4
Sharper Error Bounds in Late Fusion Multi-view Clustering with Eigenvalue Proportion Optimization 4
Shield Synthesis for LTL Modulo Theories 0
ShotVL: Human-Centric Highlight Frame Retrieval via Language Queries 4
SigStyle: Signature Style Transfer via Personalized Text-to-Image Models 2
Sign-IDD: Iconicity Disentangled Diffusion for Sign Language Production 5
Sim4Rec: Data-Free Model Extraction Attack on Sequential Recommendation 3
SimRP: Syntactic and Semantic Similarity Retrieval Prompting Enhances Aspect Sentiment Quad Prediction 5
Similar Modality Enhancement and Action Consistency Learning for Weakly Supervised Temporal Action Localization 4
Simplifying Control Mechanism in Text-to-Image Diffusion Models 4
Simulate and Eliminate: Revoke Backdoors for Generative Large Language Models 4
Simulation-Free Hierarchical Latent Policy Planning for Proactive Dialogues 3
Single Exposure Quantitative Phase Imaging with a Conventional Microscope Using Diffusion Models 1
Single Image Rolling Shutter Removal with Diffusion Models 5
Single-Loop Federated Actor-Critic across Heterogeneous Environments 4
Single-View Graph Contrastive Learning with Soft Neighborhood Awareness 3
Single-view Image to Novel-view Generation for Hand-Object Interactions 4
Singular Value Scaling: Efficient Generative Model Compression via Pruned Weights Refinement 1
Situation Calculus Temporally Lifted Abstractions for Generalized Planning 1
Skeleton-based Action Recognition with Non-linear Dependency Modeling and Hilbert-Schmidt Independence Criterion 6
Skill Disentanglement in Reproducing Kernel Hilbert Space 1
Skip Mamba Diffusion for Monocular 3D Semantic Scene Completion 5
SkipPool: Improved Sparse Hierarchical Graph Pooling with Differentiable Exploration 4
SlerpFace: Face Template Protection via Spherical Linear Interpolation 3
Slice-and-Pack: Tailoring Deep Models for Customized Requirements 5
Small Language Model Makes an Effective Long Text Extractor 4
Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation 3
SoLA: Leveraging Soft Activation Sparsity and Low-Rank Decomposition for Large Language Model Compression 5
Social Recommendation via Graph-Level Counterfactual Augmentation 3
SocialSim: Towards Socialized Simulation of Emotional Support Conversation 4
Solving Epistemic Logic Programs Using Generate-and-Test with Propagation 6
Solving Higher-Order Quantified Boolean Satisfiability via Higher-Order Model Checking 4
Solving Multiagent Path Finding on Highly Centralized Networks 0
Solving Robust Markov Decision Processes: Generic, Reliable, Efficient 5
SongEditor: Adapting Zero-Shot Song Generation Language Model as a Multi-Task Editor 1
SongGLM: Lyric-to-Melody Generation with 2D Alignment Encoding and Multi-Task Pre-Training 1
SongSong: A Time Phonograph for Chinese SongCi Music from Thousand of Years Away 2
Sound Over-Approximation of Equational Reasoning with Variable-Preserving Rules Parameterized by Derivation Depth 0
SoundBrush: Sound as a Brush for Visual Scene Editing 2
Sp3ctralMamba: Physics-Driven Joint State Space Model for Hyperspectral Image Reconstruction 4
SparX: A Sparse Cross-Layer Connection Mechanism for Hierarchical Vision Mamba and Transformer Networks 5
Sparis: Neural Implicit Surface Reconstruction of Indoor Scenes from Sparse Views 2
Sparse Transfer Learning Accelerates and Enhances Certified Robustness: A Comprehensive Study 3
Spatial Annealing for Efficient Few-shot Neural Rendering 3
Spatial-Temporal Heterogenous Graph Contrastive Learning for Microservice Workload Prediction 4
Spatial-Temporal Knowledge Distillation for Takeaway Recommendation 4
SpatioTemporal Learning for Human Pose Estimation in Sparsely-Labeled Videos 3
Spatiotemporal Blind-Spot Network with Calibrated Flow Alignment for Self-Supervised Video Denoising 5
Spatiotemporal-Aware Neural Fields for Dynamic CT Reconstruction 4
Spatiotemporal-aware Trend-Seasonality Decomposition Network for Traffic Flow Forecasting 6
SpeHeaTal: A Cluster-Enhanced Segmentation Method for Sperm Morphology Analysis 3
Specifying What You Know or Not for Multi-Label Class-Incremental Learning 4
Spectra of Cardinality Queries over Description Logic Knowledge Bases 0
Spectral Motion Alignment for Video Motion Transfer Using Diffusion Models 2
Speech Recognition Meets Large Language Model: Benchmarking, Models, and Exploration 4
Speech Watermarking with Discrete Intermediate Representations 4
Speed Master: Quick or Slow Play to Attack Speaker Recognition 4
Speeding Up the NSGA-II with a Simple Tie-Breaking Rule 3
Speedup Techniques for Switchable Temporal Plan Graph Optimization 5
Spike2Former: Efficient Spiking Transformer for High-performance Image Segmentation 2
SpikeGS: Reconstruct 3D Scene Captured by a Fast-Moving Bio-Inspired Camera 2
SpikingSSMs: Learning Long Sequences with Sparse and Parallel Spiking State Space Models 4
SpikingYOLOX: Improved YOLOX Object Detection with Fast Fourier Convolution and Spiking Neural Networks 3
Spin: Diffusion-based Semantic Image Painting Through Independent Information Injection 4
SpotActor: Training-Free Layout-Controlled Consistent Image Generation 1
SpotDiff: Spatial Gene Expression Imputation Diffusion with Single-Cell RNA Sequencing Data Integration 1
Spurious Feature Eraser: Stabilizing Test-Time Adaptation for Vision-Language Foundation Model 2
SrSv: Integrating Sequential Rollouts with Sequential Value Estimation for Multi-agent Reinforcement Learning 3
Stability and Generalization of Zeroth-Order Decentralized Stochastic Gradient Descent with Changing Topology 1
Stable Mean Teacher for Semi-supervised Video Action Detection 4
Stable-Hair: Real-World Hair Transfer via Diffusion Model 3
StableVC: Style Controllable Zero-Shot Voice Conversion with Conditional Flow Matching 3
Standing on the Shoulders of Giants: Reprogramming Visual-Language Model for General Deepfake Detection 3
State Encodings for GNN-Based Lifted Planners 4
State-Based Disassembly Planning 5
Statistical Model-driven Similarity Hashing: Bridging Modalities for Efficient Unsupervised Retrieval 4
Step-Calibrated Diffusion for Biomedical Optical Image Restoration 5
Stitch, Contrast, and Segment: Learning a Human Action Segmentation Model Using Trimmed Skeleton Videos 2
Stochastic Online Instrumental Variable Regression: Regrets for Endogeneity and Bandit Feedback 2
Stop Diverse OOD Attacks: Knowledge Ensemble for Reliable Defense 3
StoryWeaver: A Unified World Model for Knowledge-Enhanced Story Character Customization 2
Storynizor: Consistent Story Generation via Inter-Frame Synchronized and Shuffled ID Injection 3
Strategic Network Creation for Enabling Greedy Routing 0
Strategyproof Matching of Roommates and Rooms 1
StressPrompt: Does Stress Impact Large Language Models and Human Performance Similarly? 3
StructSR: Refuse Spurious Details in Real-World Image Super-Resolution 5
Structural Entropy Guided Probabilistic Coding 4
Structural Entropy Guided Unsupervised Graph Out-Of-Distribution Detection 4
Structural Pruning via Spatial-aware Information Redundancy for Semantic Segmentation 6
Structure Balance and Gradient Matching-Based Signed Graph Condensation 5
Structure-Adaptive Multi-View Graph Clustering for Remote Sensing Data 4
Structured Packing in LLM Training Improves Long Context Utilization 4
StyO: Stylize Your Face in Only One-Shot 2
Style Nursing with Spatial and Semantic Guidance for Zero-Shot Traffic Scene Style Transfer 1
Sub-Interest-Aware Representation Uniformity for Recommender System 5
Subgraph Aggregation for Out-of-Distribution Generalization on Graphs 2
SubjectDrive: Scaling Generative Data in Autonomous Driving via Subject Control 4
Suboptimal Search with Dynamic Distribution of Suboptimality 5
Sum of Squares Circuits 4
Super-Class Guided Transformer for Zero-Shot Attribute Classification 3
Supervised Score-Based Modeling by Gradient Boosting 2
Support Vector-based Estimation of Multilinear Games for Feature Selection and Explanation 3
Supportive Negatives Spectral Augmentation for Source-Free Cross-Domain Segmentation 5
Surgical Workflow Recognition and Blocking Effectiveness Detection in Laparoscopic Liver Resection with Pringle Maneuver 4
Sweeping Heterogeneity with Smart MoPs: Mixture of Prompts for LLM Task Adaptation 5
SwiftTry: Fast and Consistent Video Virtual Try-On with Diffusion Models 3
Symbolic Functional Decomposition: A Reconfiguration Approach 0
Symbolic Neural Ordinary Differential Equations 2
SymmCompletion: High-Fidelity and High-Consistency Point Cloud Completion with Symmetry Guidance 3
SyncNoise: Geometrically Consistent Noise Prediction for Instruction-based 3D Editing 1
Synchronization in Learning in Periodic Zero-Sum Games Triggers Divergence from Nash Equilibrium 2
Synergistic Multi-Agent Framework with Trajectory Learning for Knowledge-Intensive Tasks 3
Synergy of GFlowNet and Protein Language Model Makes a Diverse Antibody Designer 5
Synthetic Tabular Data Generation for Imbalanced Classification: The Surprising Effectiveness of an Overlap Class 5
S²DN: Learning to Denoise Unconvincing Knowledge for Inductive Knowledge Graph Completion 3
S²MILE: Semantic-and-Structure-Aware Music-Driven Lyric Generation 4
S³-Mamba: Small-Size-Sensitive Mamba for Lesion Segmentation 4
T-MDML: Triplet-based Multiple Distance Metric Learning for Multi-Instance Multi-Label Classification with Label Correlation 3
TAIL-MIL: Time-Aware and Instance-Learnable Multiple Instance Learning for Multivariate Time Series Anomaly Detection 1
TAMER: Tree-Aware Transformer for Handwritten Mathematical Expression Recognition 3
TB-HSU: Hierarchical 3D Scene Understanding with Contextual Affordances 5
TC-Diffuser: Bi-Condition Multi-Modal Diffusion for Tropical Cyclone Forecasting 5
TC-LLaVA: Rethinking the Transfer of LLava from Image to Video Understanding with Temporal Considerations 3
TCAM-Diff: Triplane-Aware Cross-Attention Medical Diffusion Model 4
TCAQ-DM: Timestep-Channel Adaptive Quantization for Diffusion Models 3
TCPFormer: Learning Temporal Correlation with Implicit Pose Proxy for 3D Human Pose Estimation 4
TEncDM: Understanding the Properties of the Diffusion Model in the Space of Language Model Encodings 3
TG-LLaVA: Text Guided LLaVA via Learnable Latent Embeddings 4
TGBFormer: Transformer-GraphFormer Blender Network for Video Object Detection 4
TGFormer: Transformer with Track Query Group for Multi-Object Tracking 4
TGLsta: Low-resource Textual Graph Learning with Semantic and Topological Awareness via LLMs 4
THESAURUS: Contrastive Graph Clustering by Swapping Fused Gromov-Wasserstein Couplings 3
THGNets: Constrained Temporal Hypergraphs and Graph Neural Networks in Hyperbolic Space for Information Diffusion Prediction 3
TIME-FS: Joint Learning of Tensorial Incomplete Multi-View Unsupervised Feature Selection and Missing-View Imputation 7
TIV-Diffusion: Towards Object-Centric Movement for Text-driven Image to Video Generation 1
TNCSE: Tensor Norm Constraints for Unsupervised Contrastive Learning of Sentence Embeddings 4
TRACI: A Data-centric Approach for Multi-Domain Generalization on Graphs 4
TRAIL: Trust-Aware Client Scheduling for Semi-Decentralized Federated Learning 3
TSDF-Based Efficient Motion-Compensated Temporal Interpolation for 3D Dynamic Sequences 3
TSVC: Tripartite Learning with Semantic Variation Consistency for Robust Image-Text Retrieval 3
TTA-FedDG: Leveraging Test-Time Adaptation to Address Federated Domain Generalization 4
TTE: Two Tokens Are Enough to Improve Parameter-Efficient Tuning 6
Tab-Shapley: Identifying Top-k Tabular Data Quality Insights 3
TabGLM: Tabular Graph Language Model for Learning Transferable Representations Through Multi-Modal Consistency Minimization 4
TableBench: A Comprehensive and Complex Benchmark for Table Question Answering 5
Target Scanpath-Guided 360-Degree Image Enhancement 5
Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation 4
Target-Driven Distillation: Consistency Distillation with Target Timestep Selection and Decoupled Guidance 4
Task-Agnostic Language Model Watermarking via High Entropy Passthrough Layers 3
Task-Specific Preconditioner for Cross-Domain Few-Shot Learning 4
Task-level Distributionally Robust Optimization for Large Language Model-based Dense Retrieval 5
Taylor Series-Inspired Local Structure Fitting Network for Few-shot Point Cloud Semantic Segmentation 5
TdAttenMix: Top-Down Attention Guided Mixup 4
Teacher-guided Edge Discriminator for Personalized Graph Masked Autoencoder 4
Teaching Models to Improve on Tape 5
TechSinger: Technique Controllable Multilingual Singing Voice Synthesis via Flow Matching 6
Template-Driven LLM-Paraphrased Framework for Tabular Math Word Problem Generation 5
Temporal Action Localization with Cross Layer Task Decoupling and Refinement 5
Temporal Causal Reasoning with (Non-Recursive) Structural Equation Models 1
Temporal Coherent Object Flow for Multi-Object Tracking 5
Temporal Conjunctive Query Answering via Rewriting 5
Temporal Fair Division 1
Temporal Numeric Planning with Patterns 5
Temporal Specification Optimisation for the Event Calculus 6
Temporal Task and Motion Planning with Metric Time for Multiple Object Navigation 4
Temporal Triadic Closure: Finding Dense Substructures in Social Networks That Evolve over Time 2
Temporal-Aware Evaluation and Learning for Temporal Graph Neural Networks 3
Tensor Decomposition Meets Knowledge Compilation: A Study Comparing Tensor Trains with OBDDs 0
Tensorized Attention for Understanding Multi-Object Relationships 4
Test-Time Adaptation on Noisy Data via Model-Pruning-Based Filtering and Flatness-Aware Entropy Minimization 4
Testing Causal Models with Hidden Variables in Polynomial Delay via Conditional Independencies 4
Text Proxy: Decomposing Retrieval from a 1-to-N Relationship into N 1-to-1 Relationships for Text-Video Retrieval 5
Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP 5
Text to Point Cloud Localization with Multi-Level Negative Contrastive Learning 5
Text-Guided Fine-grained Counterfactual Inference for Short Video Fake News Detection 5
Text-Guided Nonverbal Enhancement Based on Modality-Invariant and -Specific Representations for Video Speaking Style Recognition 4
Text2Relight: Creative Portrait Relighting with Text Guidance 1
Text2midi: Generating Symbolic Music from Captions 5
TextRefiner: Internal Visual Feature as Efficient Refiner for Vision-Language Models Prompt Tuning 4
TextToucher: Fine-Grained Text-to-Touch Generation 3
Textured Mesh Saliency: Bridging Geometry and Texture for Human Perception in 3D Graphics 4
The (Exact) Price of Cardinality for Indivisible Goods: A Parametric Perspective 0
The Adaptive Q-Network for Recommendation Tasks with Dynamic Item Space 4
The Bandit Whisperer: Communication Learning for Restless Bandits 1
The Complexity of Extending Fair Allocations of Indivisible Goods 0
The Cost Perspective of Liquid Democracy: Feasibility and Control 0
The Distortion of Public-Spirited Participatory Budgeting 1
The Distributional Reward Critic Framework for Reinforcement Learning Under Perturbed Rewards 3
The Dynamic Duo of Collaborative Masking and Target for Advanced Masked Autoencoder Learning 3
The Gradient of Algebraic Model Counting 5
The Illusion of Empathy: How AI Chatbots Shape Conversation Perception 4
The Impact of Literal Sorting on Cardinality Constraint Encodings 7
The Indoor-Training Effect: Unexpected Gains from Distribution Shifts in the Transition Function 5
The Master Key Filters Hypothesis: Deep Filters Are General 3
The Parables of the Mustard Seed and the Yeast: Extremely Low-Budget, High-Performance Nighttime Semantic Segmentation 2
The Surprising Effectiveness of Infinite-Width NTKs for Characterizing and Improving Model Training 4
The Unreasonable Effectiveness of Open Science in AI: A Replication Study 2
The VOROS: Lifting ROC Curves to 3D to Summarize Unbalanced Classifier Performance 4
The Value of Recall in Extensive-Form Games 0
Thermal-Aware Low-Light Image Enhancement: A Real-World Benchmark and a New Light-Weight Model 3
Thin-Plate Spline-based Interpolation for Animation Line Inbetweening 4
Thinking Racial Bias in Fair Forgery Detection: Models, Datasets and Evaluations 3
Thinking in Granularity: Dynamic Quantization for Image Super-Resolution by Intriguing Multi-Granularity Clues 5
Thought-Path Contrastive Learning via Premise-Oriented Data Augmentation for Logical Reading Comprehension 5
Threshold UCT: Cost-Constrained Monte Carlo Tree Search with Pareto Curves 5
Till the Layers Collapse: Compressing a Deep Neural Network Through the Lenses of Batch Normalization Layers. 4
Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning 4
Time Series Supplier Allocation via Deep Black-Litterman Model 7
TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents 2
TimeCHEAT: A Channel Harmony Strategy for Irregularly Sampled Multivariate Time Series Analysis 2
TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment 4
TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts 3
TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data 5
Times2D: Multi-Period Decomposition and Derivative Mapping for General Time Series Forecasting 4
TinyFoA: Memory Efficient Forward-Only Algorithm for On-Device Learning 4
TinySAM: Pushing the Envelope for Efficient Segment Anything Model 5
TinySubNets: An Efficient and Low Capacity Continual Learning Strategy 5
To Predict or Not to Predict? Proportionally Masked Autoencoders for Tabular Data Imputation 2
ToMATO: Verbalizing the Mental States of Role-Playing LLMs for Benchmarking Theory of Mind 2
TokenMatcher: Diverse Tokens Matching for Unsupervised Visible-Infrared Person Re-Identification 4
Tokenization, Fusion, and Augmentation: Towards Fine-grained Multi-modal Entity Representation 2
Tokenphormer: Structure-aware Multi-token Graph Transformer for Node Classification 2
Told You That Will Not Work: Optimal Corrections to Planning Domains Using Counter-Example Plans 4
Topo2Seq: Enhanced Topology Reasoning via Topology Sequence Learning 4
Topology-Aware 3D Gaussian Splatting: Leveraging Persistent Homology for Optimized Structural Integrity 3
Toward Adaptive Large Language Models Structured Pruning via Hybrid-grained Weight Importance Assessment 5
Toward Efficient Data-Free Unlearning 2
Toward Falsifying Causal Graphs Using a Permutation-Based Test 3
Toward Improving Robustness and Accuracy in Unsupervised Domain Adaptation 3
Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP 5
Toward Verifiable Instruction-Following Alignment for Retrieval Augmented Generation 4
Towards Accurate Binary Spiking Neural Networks: Learning with Adaptive Gradient Modulation Mechanism 2
Towards Adversarially Robust Dataset Distillation by Curvature Regularization 4
Towards Audio-Visual Navigation in Noisy Environments: A Large-Scale Benchmark Dataset and an Architecture Considering Multiple Sound-Sources 2
Towards Better Robustness Against Natural Corruptions in Document Tampering Localization 3
Towards Better Spherical Sliced-Wasserstein Distance Learning with Data-Adaptive Discriminative Projection Direction 4
Towards Effective, Efficient and Unsupervised Social Event Detection in the Hyperbolic Space 4
Towards Efficient Collaboration via Graph Modeling in Reinforcement Learning 3
Towards Efficient Low-Order Hybrid Optimizer for Language Model Fine-Tuning 5
Towards Efficient Object Re-Identification with a Novel Cloud-Edge Collaborative Framework 2
Towards Generalizable Multi-Camera 3D Object Detection via Perspective Rendering 2
Towards Global-Topology Relation Graph for Inductive Knowledge Graph Completion 3
Towards Loss-Resilient Image Coding for Unstable Satellite Networks 4
Towards Macro-AUC Oriented Imbalanced Multi-Label Continual Learning 4
Towards More Discriminative Feature Learning in SNNs with Temporal-Self-Erasing Supervision 4
Towards Open-Vocabulary Remote Sensing Image Semantic Segmentation 4
Towards Practical Classical Planning Compilations of Numeric Planning 4
Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy 1
Towards Projected and Incremental Pseudo-Boolean Model Counting 4
Towards Real-Time Approximate Counting 5
Towards Realistic Semi-supervised Medical Image Classification 4
Towards Robust Knowledge Unlearning: An Adversarial Framework for Assessing and Improving Unlearning Robustness in Large Language Models 3
Towards Robust Visual Question Answering via Prompt-Driven Geometric Harmonization 4
Towards Runtime Analysis of Population-Based Co-evolutionary Algorithms on Sparse Binary Zero-Sum Game 2
Towards Scalable and Deep Graph Neural Networks via Noise Masking 3
Towards Ship License Plate Recognition in the Wild: A Large Benchmark and Strong Baseline 3
Towards S²-Challenges Underlying LLM-Based Augmentation for Personalized News Recommendation 3
Towards Trustable SHAP Scores 1
Towards Trustworthy Knowledge Graph Reasoning: An Uncertainty Aware Perspective 4
Towards Unbiased Information Extraction and Adaptation in Cross-Domain Recommendation 5
Towards Unifying Evaluation of Counterfactual Explanations: Leveraging Large Language Models for Human-Centric Assessments 4
Towards Universal Rainy Image Restoration: Benchmark and Baseline 4
Towards Verifiable Text Generation with Generative Agent 4
Towards a Comprehensive, Efficient and Promptable Anatomic Structure Segmentation Model Using 3D Whole-Body CT Scans 6
Towards a Multimodal Large Language Model with Pixel-Level Insight for Biomedicine 4
Toy-GS: Assembling Local Gaussians for Precisely Rendering Large-Scale Free Camera Trajectories 2
Track the Answer: Extending TextVQA from Image to Video with Spatio-Temporal Clues 3
TrackGo: A Flexible and Efficient Method for Controllable Video Generation 4
Tracking Everything Everywhere across Multiple Cameras 3
Trading Off Quality and Uncertainty Through Multi-Objective Optimisation in Batch Bayesian Optimisation 5
Tradutor: Building a Variety Specific Translation Model 5
Traffic Scenario Logic: A Spatial-Temporal Logic for Modeling and Reasoning of Urban Traffic Scenarios 1
Training Consistent Mixture-of-Experts-Based Prompt Generator for Continual Learning 5
Training Deep Neural Networks with Virtual Smoothing Classes 3
Training Matting Models Without Alpha Labels 3
Training Verification-Friendly Neural Networks via Neuron Behavior Consistency 5
Training on the Benchmark Is Not All You Need 5
Training with “Paraphrasing the Original Text” Teaches LLM to Better Retrieve in Long-Context Tasks 3
Training-Free Image Manipulation Localization Using Diffusion Models 3
Training-Free and Hardware-Friendly Acceleration for Diffusion Models via Similarity-based Token Pruning 5
Training-and-Prompt-Free General Painterly Harmonization via Zero-Shot Disentenglement on Style and Content References 3
Training-free Open-Vocabulary Semantic Segmentation via Diverse Prototype Construction and Sub-region Matching 4
TranSplat: Generalizable 3D Gaussian Splatting from Sparse Multi-View Images with Transformers 4
Transfer Learning Meets Functional Linear Regression: No Negative Transfer Under Posterior Drift 3
Transfer Learning of Real Image Features with Soft Contrastive Loss for Fake Image Detection 3
Transferable Adversarial Face Attack with Text Controlled Attribute 3
Transformer Layers as Painters 4
Transtreaming: Adaptive Delay-aware Transformer for Real-time Streaming Perception 5
Treasures in Discarded Weights for LLM Quantization 5
TreeEval: Benchmark-Free Evaluation of Large Language Models through Tree Planning 4
Tri-Ergon: Fine-Grained Video-to-Audio Generation with Multi-Modal Conditions and LUFS Control 4
Trigger3:Refining Query Correction via Adaptive Model Selector 6
TrojanDec: Data-free Detection of Trojan Inputs in Self-supervised Learning 3
Truncated Gaussian Policy for Debiased Continuous Control 2
Trust-GRS: A Trustworthy Training Framework for Graph Neural Network Based Recommender Systems Against Shilling Attacks 5
TrustUQA: A Trustful Framework for Unified Structured Data Question Answering 5
Trusted Unified Feature-Neighborhood Dynamics for Multi-View Classification 2
Tuning-Free Accountable Intervention for LLM Deployment – a Metacognitive Approach 3
Two Sides of the Same Coin: Learning the Backdoor to Remove the Backdoor 5
Two-Timescale Critic-Actor for Average Reward MDPs with Function Approximation 3
Two-stream Beats One-stream: Asymmetric Siamese Network for Efficient Visual Tracking 4
Twofold Debiasing Enhances Fine-Grained Learning with Coarse Labels 5
U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation 5
UAWTrack: Universal 3D Single Object Tracking in Adverse Weather 5
UCF-Crime-DVS: A Novel Event-Based Dataset for Video Anomaly Detection with Spiking Neural Networks 5
UFO: Enhancing Diffusion-Based Video Generation with a Uniform Frame Organizer 4
UN-DETR: Promoting Objectness Learning via Joint Supervision for Unknown Object Detection 3
UP-Restorer: When Unrolling Meets Prompts for Unified Image Restoration 4
USDRL: Unified Skeleton-Based Dense Representation Learning with Multi-Grained Feature Decorrelation 4
Ultra-High Resolution Segmentation via Boundary-Enhanced Patch-Merging Transformer 4
Ultra-High-Definition Dynamic Multi-Exposure Image Fusion via Infinite Pixel Learning 4
Unaligned Message-Passing and Contextualized-Pretraining for Robust Geo-Entity Resolution 4
Uncertainty-Aware Contrastive Learning with Hard Negative Sampling for Code Search Tasks 4
Uncertainty-Aware Global-View Reconstruction for Multi-View Multi-Label Feature Selection 4
Uncertainty-Aware Self-Training for CTC-Based Automatic Speech Recognition 3
Uncommon Belief in Rationality 1
Uncovering LLM-Generated Code: A Zero-Shot Synthetic Code Detector via Code Rewriting 3
Undermining Mental Proof: How AI Can Make Cooperation Harder by Making Thinking Easier 0
Understanding EFX Allocations: Counting and Variants 1
Understanding Emotional Body Expressions via Large Language Models 4
Understanding Individual Agent Importance in Multi-Agent System via Counterfactual Reasoning 2
UniDemoiré: Towards Universal Image Demoiréing with Data Generation and Synthesis 2
UniDet3D: Multi-dataset Indoor 3D Object Detection 4
UniFORM: Towards Unified Framework for Anomaly Detection on Graphs 4
UniMuMo: Unified Text, Music, and Motion Generation 3
UniPCGC: Towards Practical Point Cloud Geometry Compression via an Efficient Unified Approach 4
UniTR: A Unified Framework for Joint Representation Learning of Trajectories and Road Networks 3
Unified Coding for Both Human Perception and Generalized Machine Analytics with CLIP Supervision 5
Unified Graph Neural Networks Pre-training for Multi-domain Graphs 4
Unified Knowledge Maintenance Pruning and Progressive Recovery with Weight Recalling for Large Vision-Language Models 4
Union Is Strength! Unite the Power of LLMs and MLLMs for Chart Question Answering 6
Universal Domain Adaptive Object Detection via Dual Probabilistic Alignment 3
Universal Features Guided Zero-Shot Category-Level Object Pose Estimation 4
Universal Post-Processing Networks for Joint Optimization of Modules in Task-Oriented Dialogue Systems 4
Universality of Real Minimal Complexity Reservoir 5
Unlearning Concepts in Diffusion Model via Concept Domain Correction and Concept Preserving Gradient 4
Unleashing the Potential of Large Language Models as Prompt Optimizers: Analogical Analysis with Gradient-based Model Optimizers 2
Unleashing the Potential of Model Bias for Generalized Category Discovery 5
Unleashing the Power of Visual Foundation Models for Generalizable Semantic Segmentation 4
Unleashing the Temporal-Spatial Reasoning Capacity of GPT for Training-Free Audio and Language Referenced Video Object Segmentation 4
Unlocking Better Closed-Set Alignment Based on Neural Collapse for Open-Set Recognition 4
Unlocking the Game: Estimating Games in Möbius Representation for Explanation and High-Order Interaction Detection 4
Unlocking the Potential of Black-box Pre-trained GNNs for Graph Few-shot Learning 5
Unlocking the Potential of Reverse Distillation for Anomaly Detection 4
Unlocking the Power of LSTM for Long Term Time Series Forecasting 5
Unlocking the Power of Patch: Patch-Based MLP for Long-Term Time Series Forecasting 3
Unpaired Multi-Domain Histopathology Virtual Staining Using Dual Path Prompted Inversion 6
Unravelling Causal Genetic Biomarkers of Alzheimer’s Disease via Neuron to Gene-token Backtracking in Neural Architecture: A Groundbreaking Reverse-Gene-Finder Approach 7
Unsupervised Anomaly Detection for Tabular Data Using Deep Noise Evaluation 5
Unsupervised Audio-Visual Segmentation with Modality Alignment 4
Unsupervised Degradation Representation Aware Transform for Real-World Blind Image Super-Resolution 4
Unsupervised Diffusion-Based Degradation Modeling for Real-World Super-Resolution 3
Unsupervised Domain Adaptive Person Search via Dual Self-Calibration 5
Unsupervised Kernel-based Multi-view Feature Selection with Robust Self-representation and Binary Hashing 2
Unsupervised Photometric-Consistent Depth Estimation from Endoscopic Monocular Video 5
Unsupervised Region-Based Image Editing of Denoising Diffusion Models 2
Unsupervised Self-Prior Embedding Neural Representation for Iterative Sparse-View CT Reconstruction 4
Unsupervised Translation of Emergent Communication 2
Unveiling Multi-View Anomaly Detection: Intra-view Decoupling and Inter-view Fusion 3
Unveiling the Impact of Coding Data Instruction Fine-Tuning on Large Language Models Reasoning 3
Unveiling the Knowledge of CLIP for Training-Free Open-Vocabulary Semantic Segmentation 3
Unveiling the Threat of Fraud Gangs to Graph Neural Networks: Multi-Target Graph Injection Attacks Against GNN-Based Fraud Detectors 4
UrBench: A Comprehensive Benchmark for Evaluating Large Multimodal Models in Multi-View Urban Scenarios 3
User Preference Meets Pareto-Optimality in Multi-Objective Bayesian Optimization 4
Utilize the Flow Before Stepping into the Same River Twice: Certainty Represented Knowledge Flow for Refusal-Aware Instruction Tuning 6
Utterance-level Emotion Recognition in Conversation with Conversation-level Supervision 5
V2C-CBM: Building Concept Bottlenecks with Vision-to-Concept Tokenizer 5
V2Xum-LLM: Cross-Modal Video Summarization with Temporal Prompt Instruction Tuning 2
VA-AR: Learning Velocity-Aware Action Representations with Mixture of Window Attention 4
VCR: A “Cone of Experience” Driven Synthetic Data Generation Framework for Mathematical Reasoning 5
VE-Bench: Subjective-Aligned Benchmark Suite for Text-Driven Video Editing Quality Assessment 5
VEGAS: Towards Visually Explainable and Grounded Artificial Social Intelligence 4
VERO: Verification and Zero-Shot Feedback Acquisition for Few-Shot Multimodal Aspect-Level Sentiment Classification 4
VERSE: Verification-based Self-Play for Code Instructions 4
VFM-Adapter: Adapting Visual Foundation Models for Dense Prediction with Dynamic Hybrid Operation Mapping 3
VG-TVP: Multimodal Procedural Planning via Visually Grounded Text-Video Prompting 2
VHM: Versatile and Honest Vision Language Model for Remote Sensing Image Analysis 5
VIoTGPT: Learning to Schedule Vision Tools Towards Intelligent Video Internet of Things 5
VLScene: Vision-Language Guidance Distillation for Camera-Based 3D Semantic Scene Completion 3
VOILA: Complexity-Aware Universal Segmentation of CT Images by Voxel Interacting with Language 5
VProChart: Answering Chart Question Through Visual Perception Alignment Agent and Programmatic Solution Reasoning 6
VQ4DiT: Efficient Post-Training Vector Quantization for Diffusion Transformers 3
VQA4CIR: Boosting Composed Image Retrieval with Visual Question Answering 6
VQTalker: Towards Multilingual Talking Avatars Through Facial Motion Tokenization 4
VRVVC: Variable-Rate NeRF-Based Volumetric Video Compression 4
VTG-LLM: Integrating Timestamp Knowledge into Video LLMs for Enhanced Video Temporal Grounding 5
VVRec: Reconstruction Attacks on DL-based Volumetric Video Upstreaming via Latent Diffusion Model with Gamma Distribution 4
VarCMP: Adapting Cross-Modal Pre-Training Models for Video Anomaly Retrieval 4
VarDrop: Enhancing Training Efficiency by Reducing Variate Redundancy in Periodic Time Series Forecasting 4
Verifying Proportionality in Temporal Voting 1
VerilogCoder: Autonomous Verilog Coding Agents with Graph-based Planning and Abstract Syntax Tree (AST)-based Waveform Tracing Tool 3
VersaFusion: A Versatile Diffusion-Based Framework for Fine-Grained Image Editing and Enhancement 4
VersaGen: Unleashing Versatile Visual Control for Text-to-Image Synthesis 2
ViFactCheck: A New Benchmark Dataset and Methods for Multi-Domain News Fact-Checking In Vietnamese 6
ViG: Linear-complexity Visual Sequence Learning with Gated Linear Attention 4
ViPCap: Retrieval Text-Based Visual Prompts for Lightweight Image Captioning 4
ViPOcc: Leveraging Visual Priors from Vision Foundation Models for Single-View 3D Occupancy Prediction 5
VidChain: Chain-of-Tasks with Metric-based Direct Preference Optimization for Dense Video Captioning 2
VidEvent: A Large Dataset for Understanding Dynamic Evolution of Events in Videos 2
Video Anomaly Detection with Motion and Appearance Guided Patch Diffusion Model 3
Video Diffusion Models Are Strong Video Inpainter 4
Video Repurposing from User Generated Content: A Large-scale Dataset and Benchmark 5
Video Summarization Using Denoising Diffusion Probabilistic Model 4
VideoElevator: Elevating Video Generation Quality with Versatile Text-to-Image Diffusion Models 3
Vietnamese Words Are Not Constructed from Syllables: Rethinking the Role of Word Segmentation in Natural Language Processing for Vietnamese Texts 3
View Transformation Robustness for Multi-View 3D Object Reconstruction with Reconstruction Error-Guided View Selection 3
Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning 3
VisRec: A Semi-Supervised Approach to Visibility Data Reconstruction in Radio Astronomy 7
Vision Transformers Beat WideResNets on Small Scale Datasets Adversarial Robustness 4
Vision-Based Generic Potential Function for Policy Alignment in Multi-Agent Reinforcement Learning 2
Vision-aware Multimodal Prompt Tuning for Uploadable Multi-source Few-shot Domain Adaptation 7
Vision-guided Text Mining for Unsupervised Cross-modal Hashing with Community Similarity Quantization 4
Visual Perturbation for Text-Based Person Search 6
Visual Prompting Upgrades Neural Network Sparsification: A Data-Model Perspective 4
Visual Reinforcement Learning with Residual Action 3
Voter Priming Campaigns: Strategies, Equilibria, and Algorithms 1
Vox-UDA: Voxel-wise Unsupervised Domain Adaptation for Cryo-Electron Subtomogram Segmentation with Denoised Pseudo-Labeling 4
WEPO: Web Element Preference Optimization for LLM-based Web Navigation 4
WHALE-FL: Wireless and Heterogeneity Aware Latency Efficient Federated Learning over Mobile Devices via Adaptive Subnetwork Scheduling 4
WPMixer: Efficient Multi-Resolution Mixing for Long-Term Time Series Forecasting 5
WST: Wavelet-Based Multi-scale Tuning for Visual Transfer Learning 4
Walk Wisely on Graph: Knowledge Graph Reasoning with Dual Agents via Efficient Guidance-Exploration 3
Walking the Web of Concept-Class Relationships in Incrementally Trained Interpretable Models 3
Wasserstein Distance Constraint and Parameter Sparsification for Batched and Iterative Knowledge Editing 4
WatE: A Wasserstein t-distributed Embedding Method for Information-enriched Graph Visualization 5
Watch Out for Your Guidance on Generation! Exploring Conditional Backdoor Attacks against Large Language Models 5
Watch Video, Catch Keyword: Context-aware Keyword Attention for Moment Retrieval and Highlight Detection 4
WaterDiffusion: Learning a Prior-involved Unrolling Diffusion for Joint Underwater Saliency Detection and Visual Restoration 4
WaveLoss: An Adaptive Dynamic Loss for Deep Gait Recognition 4
Wavelet-Assisted Multi-Frequency Attention Network for Pansharpening 4
Wavelet-Driven Masked Image Modeling: A Path to Efficient Visual Representation 5
WaveletMixer: A Multi-Resolution Wavelets Based MLP-Mixer for Multivariate Long-Term Time Series Forecasting 5
Weak Strategyproofness in Randomized Social Choice 0
Weakly Supervised Gland Segmentation with Class Semantic Consistency and Purified Labels Filtration 6
WebPilot: A Versatile and Autonomous Multi-Agent System for Web Task Execution with Strategic Exploration 3
Weighted Embeddings for Low-Dimensional Graph Representation 3
Weighted Poisson-disk Resampling on Large-Scale Point Clouds 5
Welfare-Optimal Serial Dictatorships Have Polynomial Query Complexity 1
What Are Step-Level Reward Models Rewarding? Counterintuitive Findings from MCTS-Boosted Mathematical Reasoning 5
What Is a Good Question? Assessing Question Quality via Meta-Fact Checking 4
What Kind of Visual Tokens Do We Need? Training-Free Visual Token Pruning for Multi-Modal Large Language Models from the Perspective of Graph 4
What to Preserve and What to Transfer: Faithful, Identity-Preserving Diffusion-based Hairstyle Transfer 2
When Can We Approximate Wide Contrastive Models with Neural Tangent Kernels and Principal Component Analysis? 2
When Hypergraph Meets Heterophily: New Benchmark Datasets and Baseline 5
When Open-Vocabulary Visual Question Answering Meets Causal Adapter: Benchmark and Approach 3
When Shadow Removal Meets Intrinsic Image Decomposition: A Joint Learning Framework Using Unpaired Data 2
When Should We Prefer State-to-Visual DAgger over Visual Reinforcement Learning? 3
When Witnesses Defend: A Witness Graph Topological Layer for Adversarial Graph Learning 2
Where Precision Meets Efficiency: Transformation Diffusion Model for Point Cloud Registration 4
Whole Genome Transformer for Gene Interaction Effects in Microbiome Habitat Specificity 5
Who’s the (Multi-)Fairest of Them All: Rethinking Interpolation-Based Data Augmentation Through the Lens of Multicalibration 3
WiFi CSI Based Temporal Activity Detection via Dual Pyramid Network 4
WildFake: A Large-Scale and Hierarchical Dataset for AI-Generated Images Detection 4
Wills Aligner: Multi-Subject Collaborative Brain Visual Decoding 2
Windowed MAPF with Completeness Guarantees 4
Witty: An Efficient Solver for Computing Minimum-Size Decision Trees 6
World Knowledge-Enhanced Reasoning Using Instruction-Guided Interactor in Autonomous Driving 4
WorldAPIs: The World Is Worth How Many APIs? A Thought Experiment 4
XCOT: Cross-lingual Instruction Tuning for Cross-lingual Chain-of-Thought Reasoning 4
You Should Learn to Stop Denoising on Point Clouds in Advance 5
Yuan: Yielding Unblemished Aesthetics Through a Unified Network for Visual Imperfections Removal in Generated Images 6
Zero-Shot Conditioning of Score-Based Diffusion Models by Neuro-Symbolic Constraints 4
Zero-Shot Image Captioning with Multi-type Entity Representations 4
Zero-Shot Learning for Materials Science Texts: Leveraging Duck Typing Principles 6
Zero-Shot Learning in Industrial Scenarios: New Large-Scale Benchmark, Challenges and Baseline 6
Zero-Shot Low-Light Image Enhancement via Latent Diffusion Models 4
Zero-Shot Noise2Mean: Gap Minimization for Efficient Denoising from a Single Noisy Image 4
Zero-Shot Scene Change Detection 2
Zero-resource Hallucination Detection for Text Generation via Graph-based Contextual Knowledge Triples Modeling 2
Zero-shot Depth Completion via Test-time Alignment with Affine-invariant Depth Prior 4
Zero-shot Video Moment Retrieval via Off-the-shelf Multimodal Large Language Models 4
Zero-shot Video Restoration and Enhancement Using Pre-Trained Image Diffusion Model 4
ZeroHAR: Sensor Context Augments Zero-Shot Wearable Action Recognition 3
ZeroMamba: Exploring Visual State Space Model for Zero-Shot Learning 5
Zeroth-Order Methods for Nonconvex Stochastic Problems with Decision-Dependent Distributions 6
ZoRI: Towards Discriminative Zero-Shot Remote Sensing Instance Segmentation 4
dyAb: Flow Matching for Flexible Antibody Design with AlphaFold-driven Pre-binding Antigen 4
iMoT: Inertial Motion Transformer for Inertial Navigation 5
k-HyperEdge Medoids for Clustering Ensemble 5
mRNA2vec: mRNA Embedding with Language Model in the 5'UTR-CDS for mRNA Design 4
mmFAS: Multimodal Face Anti-Spoofing Using Multi-Level Alignment and Switch-Attention Fusion 4
nach0-pc: Multi-task Language Model with Molecular Point Cloud Encoder 5
p-Mean Regret for Stochastic Bandits 2
pFedES: Generalized Proxy Feature Extractor Sharing for Model Heterogeneous Personalized Federated Learning 6
pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning 5
xPatch: Dual-Stream Time Series Forecasting with Exponential Seasonal-Trend Decomposition 4