IJCAI 2025 Accepted Papers
The full list of 1,280 papers accepted at IJCAI 2025 (International Joint Conference on Artificial Intelligence). Click any title for details, similar papers, and links to the original source. You can also search these papers by meaning, not just keywords.
accepted: 1,280
- 2D Gaussian Splatting for Outdoor Scene Decomposition and Relightingaccepted
- 40 Years of Research in Possibilistic Logic – a Surveyaccepted
- A Case for Validation Buffer in Pessimistic Actor-Criticaccepted
- A Centrality-based Graph Learning Frameworkaccepted
- A Comprehensive Survey on Physical Risk Control in the Era of Foundation Model-enabled Roboticsaccepted
- A Comprehensive and Systematic Review for Deep Learning-Based De Novo Peptide Sequencingaccepted
- A Correlation Manifold Self-Attention Network for EEG Decodingaccepted
- A Cross-Modal Densely Guided Knowledge Distillation Based on Modality Rebalancing Strategy for Enhanced Unimodal Emotion Recognitionaccepted
- A Datalog Rewriting Algorithm for Warded Ontologiesaccepted
- A Dual Stream Visual Tokenizer for LLM Image Generationaccepted
- A Dynamic Knowledge Update-Driven Model with Large Language Models for Fake News Detectionaccepted
- A Dynamic Stiefel Graph Neural Network for Efficient Spatio-Temporal Time Series Forecastingaccepted
- A Fast Neural Architecture Search Method for Multi-Modal Classification via Knowledge Sharingaccepted
- A Fast and Accurate ANN-SNN Conversion Algorithm with Negative Spikesaccepted
- A Fast-Adaptive Cognitive Diagnosis Framework for Computerized Adaptive Testing Systemsaccepted
- A Fine-Grained Complexity View on Propositional Abduction - Algorithms and Lower Boundsaccepted
- A Finite-State Controller Based Offline Solver for Deterministic POMDPsaccepted
- A First Runtime Analysis of NSGA-III on a Many-Objective Multimodal Problem: Provable Exponential Speedup via Stochastic Population Updateaccepted
- A Formal Theory of Optimal Learning with Experimental Resultsaccepted
- A Game-Theoretic Perspective on Inconsistency Handlingaccepted
- A General Framework for Representing Controlled Natural Language Sentences and Translation to KR Formalismsaccepted
- A Generalized Diffusion Framework with Learnable Propagation Dynamics for Source Localizationaccepted
- A Hybrid Multi-Factor Network with Dynamic Sequence Modeling for Early Warning of Intraoperative Hypotensionaccepted
- A Little Subsidy Ensures MMS Allocation for Three Agentsaccepted
- A Logic of General Attention Using Edge-Conditioned Event Modelsaccepted
- A Logic-Based Approach to Causal Discovery: Signal Temporal Logic Perspectiveaccepted
- A Logic-based Framework for Decoding Enthymemes in Argument Maps Involving Implicitness in Premises and Claimsaccepted
- A Medical Image Classification Network Based on Multi-View Consistent Momentum Contrastive Learningaccepted
- A Methodological Framework for Measuring Spatial Labeling Similarityaccepted
- A Multi-Granularity Clustering Approach for Federated Backdoor Defense with the Adam Optimizeraccepted
- A Multi-view Fusion Approach for Enhancing Speech Signals via Short-time Fractional Fourier Transformaccepted
- A Multimodal AI Dialogue System for Unified Document, Visual, and Audio Interactionaccepted
- A Neuro-Symbolic Framework for Sequence Classification with Relational and Temporal Knowledgeaccepted
- A Non-Interventionist Approach to Causal Reasoning Based on Lewisian Counterfactualsaccepted
- A Novel Local Search Algorithm for the Vertex Bisection Minimization Problemaccepted
- A Novel Sparse Active Online Learning Framework for Fast and Accurate Streaming Anomaly Detection Over Data Streamsaccepted
- A Picture is Worth a Thousand Prompts? Efficacy of Iterative Human-Driven Prompt Refinement in Image Regeneration Tasksaccepted
- A Primal-dual Perspective for Distributed TD-learningaccepted
- A Prior-based Discrete Diffusion Model for Social Graph Generationaccepted
- A Priori Estimation of the Approximation, Optimization and Generalization Errors of Random Neural Networks for Solving Partial Differential Equationsaccepted
- A Reduction-Based Algorithm for the Clique Interdiction Problemaccepted
- A Relaxed Symmetric Non-negative Matrix Factorization Approach for Community Discovery (Extended Abstract)accepted
- A SAT-based Method for Counting All Singleton Attractors in Boolean Networksaccepted
- A Semantic Framework for Neurosymbolic Computation (Abstract Reprint)accepted
- A Semantic Framework for Neurosymbolic Computation (Abstract Reprint)accepted
- A Sequent Calculus for Answer Set Entailmentaccepted
- A Simple yet Effective Hypergraph Clustering Networkaccepted
- A Smart Multimodal Healthcare Copilot with Powerful LLM Reasoningaccepted
- A Structural Complexity Analysis of Hierarchical Task Network Planningaccepted
- A Survey of Optimization Modeling Meets LLMs: Progress and Future Directionsaccepted
- A Survey of Pathology Foundation Model: Progress and Future Directionsaccepted
- A Survey of Structural Entropy: Theory, Methods, and Applicationsaccepted
- A Survey on Bandit Learning in Matching Marketsaccepted
- A Survey on Model Repair in AI Planningaccepted
- A Survey on Multi-View Knowledge Graph: Generation, Fusion, Applications and Future Directionsaccepted
- A Survey on One-To-Many Negotiation: A Taxonomy of Interdependencyaccepted
- A Survey on Temporal Interaction Graph Representation Learning: Progress, Challenges, and Opportunitiesaccepted
- A Survey on the Feedback Mechanism of LLM-based AI Agentsaccepted
- A Symmetric Relative-Error Loss Function for Intermittent Multiscale Signal Modellingaccepted
- A Theoretical Perspective on Why Stochastic Population Update Needs an Archive in Evolutionary Multi-objective Optimizationaccepted
- A Timestep-Adaptive Frequency-Enhancement Framework for Diffusion-based Image Super-Resolutionaccepted
- A Unifying Framework for Semiring-Based Constraint Logic Programming With Negationaccepted
- A Unifying Perspective on Model Reuse: From Small to Large Pre-Trained Modelsaccepted
- A Weighted-Based Fast Local Search for α-Neighbor p-Center Problemaccepted
- A-I-RAVEN and I-RAVEN-Mesh: Two New Benchmarks for Abstract Visual Reasoningaccepted
- ABNet: Mitigating Sample Imbalance in Anomaly Detection Within Dynamic Graphsaccepted
- ADC-GS: Anchor-Driven Deformable and Compressed Gaussian Splatting for Dynamic Scene Reconstructionaccepted
- ADFormer: Aggregation Differential Transformer for Passenger Demand Forecastingaccepted
- ADPFedGNN: Adaptive Decoupling Personalized Federated Graph Neural Networkaccepted
- AI Diagnostic Assistant (AIDA): A Predictive Model for Diagnoses from Health Records in Clinical Decision Support Systemsaccepted
- AI-Assisted Human-Pet Artistic Musical Co-Creation for Wellness Therapyaccepted
- AI-Assisted Triage and Decision Support of Head and Neck Cancer Screening and Diagnosis in Low-Resourced Settingsaccepted
- AI4Contracts: LLM & RAG-Powered Encoding of Financial Derivative Contractsaccepted
- AI4TRT: Automatic Simulation of Teeth Restoration Treatmentaccepted
- AKBR: Learning Adaptive Kernel-based Representations for Graph Classificationaccepted
- APIMig: A Project-Level Cross-Multi-Version API Migration Framework Based on Evolution Knowledge Graphaccepted
- ARMR: Adaptively Responsive Network for Medication Recommendationaccepted
- ARPDL: Adaptive Relational Prior Distribution Loss as an Adapter for Document-Level Relation Extractionaccepted
- ASCENT-ViT: Attention-based Scale-aware Concept Learning Framework for Enhanced Alignment in Vision Transformersaccepted
- ASP Chef Chats with Large Language Modelsaccepted
- Abstraction Heuristics for Classical Planning Tasks with Conditional Effectsaccepted
- AccCtr: Accelerating Training-Free Conditional Control For Diffusion Modelsaccepted
- Accelerating Adversarial Training on Under-Utilized GPUaccepted
- Accelerating Diffusion-based Super-Resolution with Dynamic Time-Spatial Samplingaccepted
- Accurate Sublayer Pruning for Large Language Models by Exploiting Latency and Tunability Informationaccepted
- Active Multimodal Distillation for Few-shot Action Recognitionaccepted
- ActiveHAI: Active Collection Based Human-AI Diagnosis with Limited Expert Predictionsaccepted
- AdaMixT: Adaptive Weighted Mixture of Multi-Scale Expert Transformers for Time Series Forecastingaccepted
- AdaR: An Adaptive Gradient Method with Cyclical Restarting of Moment Estimationsaccepted
- AdaptEdit: An Adaptive Correspondence Guidance Framework for Reference-Based Video Editingaccepted
- AdaptPFL: Unlocking Cross-Device Palmprint Recognition via Adaptive Personalized Federated Learning with Feature Decouplingaccepted
- Adaptive Deep Learning from Crowdsaccepted
- Adaptive Gradient Learning for Spiking Neural Networks by Exploiting Membrane Potential Dynamicsaccepted
- Adaptive Graph Unlearningaccepted
- Adaptive Language-Aware Image Reflection Removal Networkaccepted
- Adaptive Wizard for Removing Cross-Tier Misconfigurations in Active Directoryaccepted
- AdvGrasp: Adversarial Attacks on Robotic Grasping from a Physical Perspectiveaccepted
- Advancing Community Detection with Graph Convolutional Neural Networks: Bridging Topological and Attributive Cohesionaccepted
- Advancing Embodied Agent Security: From Safety Benchmarks to Input Moderationaccepted
- Advancing Generalization Across a Variety of Abstract Visual Reasoning Tasksaccepted
- Advancing Stain Transfer for Multi-Biomarkers: A Human Annotation-Free Method Based on Auxiliary Task Supervisionaccepted
- Adversarial Attacks on Both Face Recognition and Face Anti-spoofing Modelsaccepted
- Adversarial Propensity Weighting for Debiasing in Collaborative Filteringaccepted
- Adversarial Training for Graph Convolutional Networks: Stability and Generalization Analysisaccepted
- Aerial Coverage Path Planning in Nuclear Emergenciesaccepted
- Agent-based Modeling Meets the Capability Approach for Human Development: Simulating Homelessness Policy-makingaccepted
- Agent-based Modeling for Policy-Making in Inequity Contextsaccepted
- Aggregation Mechanism Based Graph Heterogeneous Networks Distillationaccepted
- Airdrop Gamesaccepted
- Aletheia: Detect, Discuss, and Stay Informed on Fake Newsaccepted
- Algorithmic Composition Using Narrative Structure and Tensionaccepted
- Aligning Contrastive Multiple Clusterings with User Interestsaccepted
- All Roads Lead to Rome: Exploring Edge Distribution Shifts for Heterophilic Graph Learningaccepted
- AlphaGAT: A Two-Stage Learning Approach for Adaptive Portfolio Selectionaccepted
- Always Clear Depth: Robust Monocular Depth Estimation Under Adverse Weatheraccepted
- An Approach to Quantify Plans Robustness in Real-world Applicationsaccepted
- An Association-based Fusion Method for Speech Enhancementaccepted
- An Efficient Core-Guided Solver for Weighted Partial MaxSATaccepted
- An Empirical Study of Federated Prompt Learning for Vision Language Modelaccepted
- An End-to-End Simple Clustering Hierarchical Pooling Operation for Graph Learning Based on Top-K Node Selectionaccepted
- An Ethical Dataset from Real-World Interactions Between Users and Large Language Modelsaccepted
- An Interactive Game-based Multi-Agent AI System for Children’s Social and Emotional Developmentaccepted
- An Inverse Optimization Approach to Contextual Inverse Optimizationaccepted
- An Out-Of-Distribution Membership Inference Attack Approach for Cross-Domain Graph Attacksaccepted
- Antibody Design and Optimization with Multi-scale Equivariant Graph Diffusion Models for Accurate Complex Antigen Bindingaccepted
- App2Exa: Accelerating Exact kNN Search via Dynamic Cache-Guided Approximationaccepted
- Approximate Lifted Model Constructionaccepted
- Approximate Verification of Strategic Abilities under Imperfect Information Using Local Modelsaccepted
- Approximated Behavioral Metric-based State Projection for Federated Reinforcement Learningaccepted
- Approximately EFX and fPO Allocations for Bivalued Choresaccepted
- Approximation Fixpoint Theory as a Unifying Framework for Fuzzy Logic Programming Semanticsaccepted
- Are Large Language Models Fluent in Declarative Process Mining?accepted
- Argument-based Multi-Issue Negotiationaccepted
- AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM Agentsaccepted
- Artificial Intelligence in Spectroscopy: Advancing Chemistry from Prediction To Generation and Beyondaccepted
- Assessing the Exposure to Public Knowledge in Policy-Protected Description Logic Ontologiesaccepted
- Asset Pricing with Contrastive Adversarial Variational Bayesaccepted
- Asymptotic Analysis of Weighted Fair Divisionaccepted
- Asymptotic Fair Division: Chores Are Easier Than Goodsaccepted
- Asynchronous Credit Assignment for Multi-Agent Reinforcement Learningaccepted
- Attention-based Conditional Random Field for Financial Fraud Detectionaccepted
- AttentionDrag: Exploiting Latent Correlation Knowledge in Pre-trained Diffusion Models for Image Editingaccepted
- Attractor-based Closed List Search: Sparsifying the Closed List for Efficient Memory-Constrained Planningaccepted
- Attribute Association Driven Multi-Task Learning for Session-based Recommendationaccepted
- Automated Decision-Making on Networks with LLMs through Knowledge-Guided Evolutionaccepted
- Automated Detection of Pre-training Text in Black-box LLMsaccepted
- Automated Strategy Invention for Confluence of Term Rewrite Systemsaccepted
- Automated Superscalar Processor Design by Learning Data Dependenciesaccepted
- Automating Intervention Discovery from Scientific Literature: A Progressive Ontology Prompting and Dual-LLM Frameworkaccepted
- Avoiding Undesired Future with Sequential Decisionsaccepted
- A³-Net: Calibration-Free Multi-View 3D Hand Reconstruction for Enhanced Musical Instrument Learningaccepted
- BEVTrack: A Simple and Strong Baseline for 3D Single Object Tracking in Bird's-Eye Viewaccepted
- BGM: Demand Prediction for Expanding Bike-Sharing Systems with Dynamic Graph Modelingaccepted
- BILE: An Effective Behavior-based Latent Exploration Scheme for Deep Reinforcement Learningaccepted
- BMIP: Bi-directional Modality Interaction Prompt Learning for VLMaccepted
- BRIGHT-VO: Brightness-Guided Hybrid Transformer for Visual Odometry with Multi-modality Refinement Moduleaccepted
- BTPG: A Platform and Benchmark for Behavior Tree Planning in Everyday Service Robotsaccepted
- Backdoor Attack on Vertical Federated Graph Neural Network Learningaccepted
- Balance-Aware Sequence Sampling Makes Multi-Modal Learning Betteraccepted
- Balancing Imbalance: Data-Scarce Urban Flow Prediction via Spatio-Temporal Balanced Transfer Learningaccepted
- Balancing Invariant and Specific Knowledge for Domain Generalization with Online Knowledge Distillationaccepted
- Balancing User-Item Structure and Interaction with Large Language Models and Optimal Transport for Multimedia Recommendationaccepted
- Balans: Multi-Armed Bandits-based Adaptive Large Neighborhood Search for Mixed-Integer Programming Problemsaccepted
- BankTweak: Adversarial Attack Against Multi-Object Trackers by Manipulating Feature Banksaccepted
- Base-Detail Feature Learning Framework for Visible-Infrared Person Re-Identificationaccepted
- Beyond Feature Mapping GAP: Integrating Real HDRTV Priors for Superior SDRTV-to-HDRTV Conversionaccepted
- Beyond Fixed Length: Bucket Pre-training is All You Needaccepted
- Beyond Individual and Point: Next POI Recommendation via Region-aware Dynamic Hypergraph with Dual-level Modelingaccepted
- Beyond Low-rankness: Guaranteed Matrix Recovery via Modified Nuclear Normaccepted
- Beyond Patterns: Harnessing Causal Logic for Autonomous Driving Trajectory Predictionaccepted
- Beyond Statistical Analysis: Multimodal Framework for Time Series Forecasting with LLM-Driven Temporal Patternaccepted
- Beyond Symmetry in Repeated Games with Restartsaccepted
- Beyond Winning Strategies: Admissible and Admissible Winning Strategies for Quantitative Reachability Gamesaccepted
- Beyond the Known: Decision Making with Counterfactual Reasoning Decision Transformeraccepted
- Beyond the Map: Learning to Navigate Unseen Urban Dynamics Using Diffusion-Guided Deep Reinforcement Learningaccepted
- Bi-DiffCD: Bidirectional Diffusion Guided Collaborative Change Detection for Arbitrary-Modal Remote Sensing Imagesaccepted
- Bidirectional Human–AI Collaboration for Equitable Student Performance Prediction via Deep Uncertainty Learningaccepted
- Bidirectional Search while Ensuring Meet-In-The-Middle via Effective and Efficient-to-Compute Termination Conditionsaccepted
- Bimodal Depth-First Search for Scalable GAC for AllDifferentaccepted
- BinMetric: A Comprehensive Binary Code Analysis Benchmark for Large Language Modelsaccepted
- Binary Event-Driven Spiking Transformeraccepted
- Block Circulant Adapter for Large Language Modelsaccepted
- Boost Embodied AI Models with Robust Compression Boundaryaccepted
- Boosting Few-Shot Open-Set Object Detection via Prompt Learning and Robust Decision Boundaryaccepted
- Boosting Visual Knowledge-Intensive Training for LVLMs Through Causality-Driven Visual Object Completionaccepted
- Boosting Zero-shot Stereo Matching Using Large-Scale Mixed Images Sources in the Real Worldaccepted
- Brain-Inspired Stepwise Patch Merging for Vision Transformersaccepted
- Breaking the Self-Evaluation Barrier: Reinforced Neuro-Symbolic Planning with Large Language Modelsaccepted
- BridgeVoC: Neural Vocoder with Schrödinger Bridgeaccepted
- Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-trainingaccepted
- Bridging Local and Global Knowledge via Transformer in Board Gamesaccepted
- CABIN: Debiasing Vision-Language Models Using Backdoor Adjustmentsaccepted
- CADP: Towards Better Centralized Learning for Decentralized Execution in MARLaccepted
- CADS: A Systematic Literature Review on the Challenges of Abstractive Dialogue Summarization (Abstract Reprint)accepted
- CAM-Based Methods Can See through Walls (Extended Abstract)accepted
- CAN-ST: Clustering Adaptive Normalization for Spatio-temporal OOD Learningaccepted
- CASA: CNN Autoencoder-based Score Attention for Efficient Multivariate Long-term Time-series Forecastingaccepted
- CD^2: Constrained Dataset Distillation for Few-Shot Class-Incremental Learningaccepted
- CFDONEval: A Comprehensive Evaluation of Operator-Learning Neural Network Models for Computational Fluid Dynamicsaccepted
- CFII-Net: Explicit Class Embeddings and Feature Maps Through Iterative Interaction for Boosting Medical Image Segmentationaccepted
- CGI: Identifying Conditional Generative Models with Example Imagesaccepted
- CLLMRec: Contrastive Learning with LLMs-based View Augmentation for Sequential Recommendationaccepted
- CMFS: CLIP-Guided Modality Interaction for Mitigating Noise in Multi-Modal Image Fusion and Segmentationaccepted
- COGRASP: Co-Occurrence Graph Based Stock Price Forecastingaccepted
- COLUR: Confidence-Oriented Learning, Unlearning and Relearning with Noisy-Label Data for Model Restoration and Refinementaccepted
- CRAFT: Time Series Forecasting with Cross-Future Behavior Awarenessaccepted
- CSAHFL:Clustered Semi-Asynchronous Hierarchical Federated Learning for Dual-layer Non-IID in Heterogeneous Edge Computing Networksaccepted
- CSF-GAN: Cross-modal Semantic Fusion-based Generative Adversarial Network for Text-guided Image Inpaintingaccepted
- Can Large Models Teach Student Models to Solve Mathematical Problems Like Human Beings? A Reasoning Distillation Method via Multi-LoRA Interactionaccepted
- Can Retelling Have Adequate Information for Reasoning? An Enhancement Method for Imperfect Video Understanding with Large Language Modelaccepted
- Can We Translate Code Better with LLMs and Call Graph Analysis?accepted
- Can We Verify Step by Step for Incorrect Answer Detection?accepted
- Cap-and-Penalize: Competitive Mechanisms for Multi-Phase Regularized Online Allocationaccepted
- Capturing Individuality and Commonality Between Anchor Graphs for Multi-View Clusteringaccepted
- Categorical Attention: Fine-grained Language-guided Noise Filtering Network for Occluded Person Re-Identificationaccepted
- Category-aware EEG Image Generation Based on Wavelet Transform and Contrast Semantic Lossaccepted
- Causal Learning Meet Covariates: Empowering Lightweight and Effective Nationwide Air Quality Forecastingaccepted
- Causal View of Time Series Imputation: Some Identification Results on Missing Mechanismaccepted
- Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Actingaccepted
- Causality-Inspired Disentanglement for Fair Graph Neural Networksaccepted
- Cause-Effect Driven Optimization for Robust Medical Visual Question Answering with Language Biasesaccepted
- ChronoFact: Timeline-based Temporal Fact Verificationaccepted
- Circuit-Aware d-DNNF Compilationaccepted
- City-Level Foreign Direct Investment Prediction with Tabular Learning on Judicial Dataaccepted
- Classifying and Tracking International Aid Contribution Towards SDGsaccepted
- Co-Learning of Strategy and Structure Achieves Full Cooperation in Complex Networks with Dynamical Linkingaccepted
- CoDiCast: Conditional Diffusion Model for Global Weather Forecasting with Uncertainty Quantificationaccepted
- CoFinDiff: Controllable Financial Diffusion Model for Time Series Generationaccepted
- CoLA-Former: Graph Transformer Using Communal Linear Attention for Lightweight Sequential Recommendationaccepted
- Coalition Obstruction Temporal Logic: A New Obstruction Logic to Reason About Demon Coalitionsaccepted
- Code-BT: A Code-Driven Approach to Behavior Tree Generation for Robot Tasks Planning with Large Language Modelsaccepted
- CoderAgent: Simulating Student Behavior for Personalized Programming Learning with Large Language Modelsaccepted
- CogTwin: A Hybrid Cognitive Architecture Framework for Adaptable and Cognitive Digital Twinsaccepted
- Collaborative Multi-LoRA Experts with Achievement-based Multi-Tasks Loss for Unified Multimodal Information Extractionaccepted
- Combining Code Generating Large Language Models and Self-Play to Iteratively Refine Strategies in Gamesaccepted
- Combining Deep Reinforcement Learning and Search with Generative Models for Game-Theoretic Opponent Modelingaccepted
- Combining MORL with Restraining Bolts to Learn Normative Behaviouraccepted
- Coming Out of the Dark: Human Pose Estimation in Low-light Conditionsaccepted
- Community-Aware Graph Transformer for Brain Disorder Identificationaccepted
- CompLex: Music Theory Lexicon Constructed by Autonomous Agents for Automatic Music Generationaccepted
- Comprehensive Review of Neural Differential Equations for Time Series Analysisaccepted
- Computational Complexity of Planning for Recursive Primitive Task Networks: Selective Action Nullification with State Preservationaccepted
- Concentrate on Weakness: Mining Hard Prototypes for Few-Shot Medical Image Segmentationaccepted
- Concurrent Planning and Execution Using Dispatch-Dependent Valuesaccepted
- Conditional Causal Representation Learning for Heterogeneous Single-cell RNA Data Integration and Predictionaccepted
- Conditional Denoising Meets Polynomial Modeling: A Flexible Decoupled Framework for Time Series Forecastingaccepted
- Conditional Independent Test in the Presence of Measurement Error with Causal Structure Learningaccepted
- Conditional Information Bottleneck-Based Multivariate Time Series Forecastingaccepted
- Confidence-based Estimators for Predictive Performance in Model Monitoring (Abstract Reprint)accepted
- Connecting Giants: Synergistic Knowledge Transfer of Large Multimodal Models for Few-Shot Learningaccepted
- Connector-S: A Survey of Connectors in Multi-modal Large Language Modelsaccepted
- Consensus-Guided Incomplete Multi-view Clustering via Cross-view Affinities Learningaccepted
- Consistency-Aware Padding for Incomplete Multi-Modal Alignment Clustering Based on Self-Repellent Greedy Anchor Searchaccepted
- Constrained Preferential Bayesian Optimization and Its Application in Banner Ad Designaccepted
- Constrained Sequential Inference in Machine Learning Using Constraint Programmingaccepted
- Constrained Serial Dictatorships Can Be Fairaccepted
- Constructive Conflict-Driven Multi-Agent Reinforcement Learning for Strategic Diversityaccepted
- Contamination Budget: Trade-offs Between Breadth, Depth and Difficultyaccepted
- ContextAware: A Multi-Agent Framework for Detecting Harmful Image-Based Comments on Social Mediaaccepted
- Continuous Diffusive Prediction Network for Multi-Station Weather Predictionaccepted
- Continuous-Time Reward Machinesaccepted
- Contractions Based on Optimal Repairs (Extended Abstract)accepted
- Contrastive Cross-Course Knowledge Tracing via Concept Graph Guided Knowledge Transferaccepted
- Contrastive Unlearning: A Contrastive Approach to Machine Unlearningaccepted
- Control in Computational Social Choiceaccepted
- Conversational Exploration of Literature Landscape with LitChataccepted
- CorrDetail: Visual Detail Enhanced Self-Correction for Face Forgery Detectionaccepted
- Cost-Effective On-Device Sequential Recommendation with Spiking Neural Networksaccepted
- Counterfactual Explanations Under Model Multiplicity and Their Use in Computational Argumentationaccepted
- Counterfactual Explanations for Continuous Action Reinforcement Learningaccepted
- Counterfactual Knowledge Maintenance for Unsupervised Domain Adaptationaccepted
- Counterfactual Strategies for Markov Decision Processesaccepted
- Counterfactual Thinking Driven Emotion Regulation for Image Sentiment Recognitionaccepted
- Coupling Category Alignment for Graph Domain Adaptationaccepted
- Creative Momentum Transfer: How Timing and Labeling of AI Suggestions Shape Iterative Human Ideationaccepted
- Credit Assignment and Fine-Tuning Enhanced Reinforcement Learning for Collaborative Spatial Crowdsourcingaccepted
- Credulous Acceptance in High-Order Argumentation Frameworks with Necessities: An Incremental Approach (Abstract Reprint)accepted
- Critical Node-aware Augmentation for Hypergraph Contrastive Learningaccepted
- Cross-modal Collaborative Representation Learning for Text-to-Image Person Retrievalaccepted
- CrossVTON: Mimicking the Logic Reasoning on Cross-Category Virtual Try-On Guided by Tri-Zone Priorsaccepted
- CureGraph: Contrastive Multi-Modal Graph Representation Learning for Urban Living Circle Health Profiling and Prediction (Abstract Reprint)accepted
- Curriculum Abductive Learning for Mitigating Reasoning Shortcutsaccepted
- Curriculum Hierarchical Knowledge Distillation for Bias-Free Survival Predictionaccepted
- CycSeq: Leveraging Cyclic Data Generation for Accurate Perturbation Prediction in Single-Cell RNA-Seqaccepted
- Cyclic Vision-Language Manipulator: Towards Reliable and Fine-Grained Image Interpretation for Automated Report Generationaccepted
- D3: Diversity, Difficulty, and Dependability-Aware Data Selection for Sample-Efficient LLM Instruction Tuningaccepted
- DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptationaccepted
- DASS: A Dual-Branch Attention-based Framework for Trajectory Similarity Learning with Spatial and Semantic Fusionaccepted
- DAVE: A Framework for Assisted Analysis of Document Collections in Knowledge-Intensive Domainsaccepted
- DDPA-3DVG: Vision-Language Dual-Decoupling and Progressive Alignment for 3D Visual Groundingaccepted
- DECASTE: Unveiling Caste Stereotypes in Large Language Models Through Multi-Dimensional Bias Analysisaccepted
- DERI: Cross-Modal ECG Representation Learning with Deep ECG-Report Interactionaccepted
- DFCA: Disentangled Feature Contrastive Learning and Augmentation for Fairer Dermatological Diagnosticsaccepted
- DFMU: Distribution-based Framework for Modeling Aleatoric Uncertainty in Multimodal Sentiment Analysisaccepted
- DGCPL: Dual Graph Distillation for Concept Prerequisite Relation Learningaccepted
- DGExplainer: Explaining Dynamic Graph Neural Networks via Relevance Back-propagationaccepted
- DGL: Dynamic Global-Local Information Aggregation for Scalable VRP Generalization with Self-Improvement Learningaccepted
- DGraFormer: Dynamic Graph Learning Guided Multi-Scale Transformer for Multivariate Time Series Forecastingaccepted
- DHTAGK: Deep Hierarchical Transitive-Aligned Graph Kernels for Graph Classificationaccepted
- DIIN: Diffusion Iterative Implicit Networks for Arbitrary-scale Super-resolutionaccepted
- DL-KDD: Dual-Lightness Knowledge Distillation for Action Recognition in the Darkaccepted
- DM-POSA: Enhancing Open-World Test-Time Adaptation with Dual-Mode Matching and Prompt-Based Open Set Adaptationaccepted
- DO-CoLM: Dynamic 3D Conformation Relationships Capture with Self-Adaptive Ordering Molecular Relational Modeling in Language Modelsaccepted
- DONIS: Importance Sampling for Training Physics-Informed DeepONetaccepted
- DPMamba: Distillation Prompt Mamba for Multimodal Remote Sensing Image Classification with Missing Modalitiesaccepted
- DToMA: Training-free Dynamic Token MAnipulation for Long Video Understandingaccepted
- DUQ: Dual Uncertainty Quantification for Text-Video Retrievalaccepted
- DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning Under Two-sided Incomplete Informationaccepted
- Data Poisoning Attack Defense and Evolutionary Domain Adaptation for Federated Medical Image Segmentationaccepted
- Data Void Exploits: Tracking & Mitigation Strategies (Extended Abstract)accepted
- Data-Centric AI for Chest X-Ray Analysis in Resource-Constrained Settingsaccepted
- DcDsDiff: Dual-Conditional and Dual-Stream Diffusion Model for Generative Image Tampering Localizationaccepted
- DeCo: Defect-Aware Modeling with Contrasting Matching for Optimizing Task Assignment in Online IC Testingaccepted
- Decentralized Online Learning by Selfish Agents in Coalition Formationaccepted
- Decision-Aware Preference Modeling for Multi-Behavior Recommendationaccepted
- Decomposing Inconsistencies: Marginal Contributions and Pooling Techniquesaccepted
- Deconfounding Multi-Cause Latent Confounders: A Factor-Model Approach to Climate Model Bias Correctionaccepted
- Decoupled Imbalanced Label Distribution Learningaccepted
- Decoupled Search for the Masses: A Novel Task Transformation for Classical Planning (Extended Abstract)accepted
- Decoupling and Reconstructing: A Multimodal Sentiment Analysis Framework Towards Robustnessaccepted
- Deduction with Induction: Combining Knowledge Discovery and Reasoning for Interpretable Deep Reinforcement Learningaccepted
- Deep Learning for Multivariate Time Series Imputation: A Surveyaccepted
- Deep Learning-Based Pedestrian Simulation with Limited Real-World Training Data: An Evaluation Frameworkaccepted
- Deep Opinion-Unaware Blind Image Quality Assessment by Learning and Adapting from Multiple Annotatorsaccepted
- Deep Reinforcement Learning for Efficient and Fair Allocation of Healthcare Resourcesaccepted
- DeepFeatIoT: Unifying Deep Learned, Randomized, and LLM Features for Enhanced IoT Time Series Sensor Data Classification in Smart Industriesaccepted
- DeepShade: Enable Shade Simulation by Text-conditioned Image Generationaccepted
- Denoise-then-Retrieve: Text-Conditioned Video Denoising for Video Moment Retrievalaccepted
- Denoised Attention and Question-Augmented Representations for Knowledge Tracingaccepted
- Denoising Diffusion Models are Good General Gaze Feature Learnersaccepted
- DenseSAM: Semantic Enhance SAM for Efficient Dense Object Segmentationaccepted
- DepthART: Monocular Depth Estimation as Autoregressive Refinement Taskaccepted
- Detecting Hallucination in Large Language Models Through Deep Internal Representation Analysisaccepted
- Detecting Illicit Massage Businesses by Leveraging Graph Machine Learningaccepted
- Detection and Geographic Localization of Natural Objects in the Wild: A Case Study on Palmsaccepted
- Device-Cloud Collaborative Correction for On-Device Recommendationaccepted
- Diff-LMM: Diffusion Teacher-Guided Spatio-Temporal Perception for Video Large Multimodal Modelsaccepted
- DiffECG: Diffusion Model-Powered Label-Efficient and Personalized Arrhythmia Diagnosisaccepted
- DiffFERV: Diffusion-based Facial Editing of Real Videosaccepted
- DiffSQL: Leveraging Diffusion Model for Zero-Shot Self-Supervised Monocular Depth Estimationaccepted
- Differentiable Prompt Learning for Vision Language Modelsaccepted
- Diffuse&Refine: Intrinsic Knowledge Generation and Aggregation for Incremental Object Detectionaccepted
- Diffusion Guided Propagation Augmentation for Popularity Predictionaccepted
- Diffusion-aware Censored Gaussian Processes for Demand Modellingaccepted
- DiffusionIMU: Diffusion-Based Inertial Navigation with Iterative Motion Refinementaccepted
- Direct Estimation of Attenuation Information from Sinograms for Positron Emission Tomography Reconstructionaccepted
- Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restorationaccepted
- Dirichlet Process-Based Robust Clustering Using the Median-of-Means Estimatoraccepted
- DisPIM: Distilling PreTrained Image Models for Generalizable Visuo-Motor Controlaccepted
- Disconfounding Fake News Video Explanation with Causal Inferenceaccepted
- Discrete Budget Aggregation: Truthfulness and Proportionalityaccepted
- Disentangled and Personalized Representation Learning for Next Point-of-Interest Recommendationaccepted
- Disentangling Multi-view Representations via Curriculum Learning with Learnable Prioraccepted
- Distance Preservation Gamesaccepted
- Distilling A Universal Expert from Clustered Federated Learningaccepted
- Distributed Cascaded Manifold Hashing Network for Compact Image Set Representationaccepted
- Distribution-Aware Online Learning for Urban Spatiotemporal Forecasting on Streaming Dataaccepted
- Diversity-Aware Reinforcement Learning for de novo Drug Designaccepted
- Divide and Conquer: Coordinating Multiplex Mixture of Graph Learners to Handle Multi-Omics Analysisaccepted
- Dividing Conflicting Items Fairlyaccepted
- Do Mentioned Items Truly Matter? Enhancing Conversational Recommender Systems with Causal Intervention and Large Language Modelsaccepted
- Do You Steal My Model? Signature Diffusion Embedded Dual-Verification Watermarking for Protecting Intellectual Property of Hyperspectral Image Classification Modelsaccepted
- Domain Prompt Learning with Quaternion Networks (Extended Abstract)accepted
- Drafting and Revision: Advancing High-Fidelity Video Inpaintingaccepted
- DriftRemover: Hybrid Energy Optimizations for Anomaly Images Synthesis and Segmentationaccepted
- Dual Encoder Contrastive Learning with Augmented Views for Graph Anomaly Detectionaccepted
- Dual Robust Unbiased Multi-View Clustering for Incomplete and Unpaired Informationaccepted
- Dual-Agent Reinforcement Learning for Automated Feature Generationaccepted
- Dual-Balancing for Physics-Informed Neural Networksaccepted
- Dual-Perspective United Transformer for Object Segmentation in Optical Remote Sensing Imagesaccepted
- Dual-level Fuzzy Learning with Patch Guidance for Image Ordinal Regressionaccepted
- DualCast: A Model to Disentangle Aperiodic Events from Traffic Seriesaccepted
- Dyn-D^2P: Dynamic Differentially Private Decentralized Learning with Provable Utility Guaranteeaccepted
- Dynamic Anchor-based Ensemble Clustering via Hypergraph Reconstructionaccepted
- Dynamic Higher-Order Relations and Event-Driven Temporal Modeling for Stock Price Forecastingaccepted
- Dynamic Multiple High-order Correlations Fusion with Noise Filtering for Incomplete Multi-view Noisy-label Learningaccepted
- Dynamic Network Discovery via Infection Tracingaccepted
- Dynamic Replanning for Improved Public Transport Routingaccepted
- Dynamic Seed-GrowthCM: A Dynamic Benefit-Oriented Algorithm for Core Maximization on Large Graphsaccepted
- Dynamic and Adaptive Feature Generation with LLMaccepted
- EAVIT: Efficient and Accurate Human Value Identification From Text Data via LLMsaccepted
- ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networksaccepted
- ECG2TOK: ECG Pre-Training with Self-Distillation Semantic Tokenizersaccepted
- EDGE: Efficient Data Selection for LLM Agents via Guideline Effectivenessaccepted
- EDyGS: Event Enhanced Dynamic 3D Radiance Fields from Blurry Monocular Videoaccepted
- EF1 and EFX Orientationsaccepted
- EFX Feasible Scheduling for Time-dependent Resourcesaccepted
- EFormer: An Effective Edge-based Transformer for Vehicle Routing Problemsaccepted
- ESBN: Estimation Shift of Batch Normalization for Source-free Universal Domain Adaptationaccepted
- EVICheck: Evidence-Driven Independent Reasoning and Combined Verification Method for Fact-Checkingaccepted
- Early Detection of Patient Deterioration from Real-Time Wearable Monitoring Systemaccepted
- EchoGPT: An Interactive Cardiac Function Assessment Model for Echocardiogram Videosaccepted
- Efficient Algorithms for Electing Successive Committeesaccepted
- Efficient Constraint-based Window Causal Graph Discovery in Time Series with Multiple Time Lagsaccepted
- Efficient Counterexample-Guided Fairness Verification and Repair of Neural Networks Using Satisfiability Modulo Convex Programmingaccepted
- Efficient Differentiable Approximation of Generalized Low-rank Regularizationaccepted
- Efficient Diversity-based Experience Replay for Deep Reinforcement Learningaccepted
- Efficient Dynamic Ensembling for Multiple LLM Expertsaccepted
- Efficient Dynamic Graphs Learning with Refined Batch Parallel Trainingaccepted
- Efficient Hi-Fi Style Transfer via Statistical Attention and Modulationaccepted
- Efficient Inter-Operator Scheduling for Concurrent Recommendation Model Inference on GPUaccepted
- Efficient Multi-view Clustering via Reinforcement Contrastive Learningaccepted
- Efficient Quantum Approximate kNN Algorithm via Granular-Ball Computingaccepted
- Efficient Rectification of Neuro-Symbolic Reasoning Inconsistencies by Abductive Reflection (Extended Abstract)accepted
- Efficient Visual Representation Learning with Heat Conduction Equationaccepted
- Efficient and Rigorous Model-Agnostic Explanationsaccepted
- EfficientPIE: Real-Time Prediction on Pedestrian Crossing Intention with Sole Observationaccepted
- Egocentric Object-Interaction Anticipation with Retentive and Predictive Learningaccepted
- ElaD-Net: An Elastic Semantic Decoupling Network for Lesion Segmentation in Breast Ultrasound Imagesaccepted
- Electron Density-enhanced Molecular Geometry Learningaccepted
- Emerging Advances in Learned Video Compression: Models, Systems and Beyondaccepted
- Empowering LLMs with Logical Reasoning: A Comprehensive Surveyaccepted
- Empowering Multimodal Road Traffic Profiling with Vision Language Models and Frequency Spectrum Fusionaccepted
- Empowering Quantum Serverless Circuit Deployment Optimization via Graph Contrastive Learning and Learning-to-Rank Co-designed Approachesaccepted
- Empowering Vision Transformers with Multi-Scale Causal Intervention for Long-Tailed Image Classificationaccepted
- Endogenous Recovery via Within-modality Prototypes for Incomplete Multimodal Hashingaccepted
- Endowing Interpretability for Neural Cognitive Diagnosis by Efficient Kolmogorov-Arnold Networksaccepted
- EnergyCompress: A General Case Base Learning Strategyaccepted
- Enhanced Graph Similarity Learning via Adaptive Multi-scale Feature Fusionaccepted
- Enhanced Unsupervised Discriminant Dimensionality Reduction for Nonlinear Dataaccepted
- Enhancing Automated Grading in Science Education through LLM-Driven Causal Reasoning and Multimodal Analysisaccepted
- Enhancing Chemical Reaction and Retrosynthesis Prediction with Large Language Model and Dual-task Learningaccepted
- Enhancing Counterfactual Estimation: A Focus on Temporal Treatmentsaccepted
- Enhancing Long-Tail Bundle Recommendations Utilizing Composition Pattern Modelingaccepted
- Enhancing Mixture of Experts with Independent and Collaborative Learning for Long-Tail Visual Recognitionaccepted
- Enhancing Multimodal Model Robustness Under Missing Modalities via Memory-Driven Prompt Learningaccepted
- Enhancing Multimodal Protein Function Prediction Through Dual-Branch Dynamic Selection with Reconstructive Pre-Trainingaccepted
- Enhancing Nighttime Semantic Segmentation with Visual-Linguistic Priors and Wavelet Transformaccepted
- Enhancing Online Climate Discourse: A Two-Stage Framework for Climate Content Categorization and Moderationaccepted
- Enhancing Portfolio Optimization via Heuristic-Guided Inverse Reinforcement Learning with Multi-Objective Reward and Graph-based Policy Learningaccepted
- Enhancing Sampling Protocol for Point Cloud Classification Against Corruptionsaccepted
- Enhancing Semantic Clarity: Discriminative and Fine-grained Information Mining for Remote Sensing Image-Text Retrievalaccepted
- Enhancing Table Recognition with Vision LLMs: A Benchmark and Neighbor-Guided Toolchain Reasoneraccepted
- Enhancing Transferability of Audio Adversarial Example for Both Frequency- and Time-domainaccepted
- Enhancing User-Oriented Proactivity in Open-Domain Dialogues with Critic Guidanceaccepted
- Enhancing the Logical Reasoning Abilities of Large Language Modelsaccepted
- Enhancing the Performance of Global Model by Improving the Adaptability of Local Models in Federated Learningaccepted
- Ensuring Reliable and Transparent Algorithmic Fairness Through Optimal Transport and Uncertainty Quantificationaccepted
- Equitable Mechanism Design for Facility Locationaccepted
- Escaping Saddle Point Efficiently in Minimax and Bilevel Optimizationsaccepted
- Evaluating and Mitigating Linguistic Discrimination in Large Language Models: Perspectives on Safety Equity and Knowledge Equityaccepted
- Evaluation of Medical Large Language Models: Taxonomy, Review, and Directionsaccepted
- Evolutionary Algorithms Are Significantly More Robust to Noise When They Ignore Itaccepted
- Evolvable Conditional Diffusionaccepted
- ExVideo: Extending Video Diffusion Models via Parameter-Efficient Post-Tuningaccepted
- Exact Algorithms with New Upper Bounds for the Maximum k-plex Problemaccepted
- ExpTalk: Diverse Emotional Expression via Adaptive Disentanglement and Refined Alignment for Speech-Driven 3D Facial Animationaccepted
- Expanding Connected Components from Alternative Terminals: Global Optimization for Freshwater Fishes Under the UN's 30x30 Conservation Goalaccepted
- Expanding the Category of Classifiers with LLM Supervisionaccepted
- ExpertDiff: Head-less Model Reprogramming with Diffusion Classifiers for Out-of-Distribution Generalizationaccepted
- Explain It as Simple as Possible, but No Simpler – Explanation via Model Simplification for Addressing Inferential Gap (Abstract Reprint)accepted
- Explainability Through Human-Centric Design for XAI in Lung Cancer Detectionaccepted
- Explainable Automatic Fact-Checking for Journalists Augmentation in the Wildaccepted
- Explainable Graph Neural Networks via Structural Externalitiesaccepted
- Explainable Graph Representation Learning via Graph Pattern Analysisaccepted
- Explaining Black-box Model Predictions via Two-level Nested Feature Attributions with Consistency Propertyaccepted
- Explanatory Capabilities of Large Language Models in Prescriptive Process Monitoring (Extended Abstract)accepted
- Exploiting Label Skewness for Spiking Neural Networks in Federated Learningaccepted
- Exploiting Position Information in Convolutional Kernels for Structural Re-parameterizationaccepted
- Exploiting Self-Refining Normal Graph Structures for Robust Defense against Unsupervised Adversarial Attacksaccepted
- Exploiting Text Semantics for Few and Zero Shot Node Classification on Text-attributed Graphaccepted
- Exploring Efficient and Effective Sequence Learning for Visual Object Trackingaccepted
- Exploring Equity of Climate Policies Using Multi-Agent Multi-Objective Reinforcement Learningaccepted
- Exploring Multimodal Foundation AI and Expert-in-the-Loop for Sustainable Management of Wild Salmon Fisheries in Indigenous Riversaccepted
- Exploring Semantic Masked Autoencoder for Self-supervised Point Cloud Understandingaccepted
- Exploring Transferable Homogenous Groups for Compositional Zero-Shot Learningaccepted
- Exploring the Frontiers of Animation Video Generation in the Sora Era: Method, Dataset and Benchmarkaccepted
- Exploring the Over-smoothing Problem of Graph Neural Networks for Graph Classification: An Entropy-based Viewpointaccepted
- Exploring the Trade-Offs: Quantization Methods, Task Difficulty, and Model Size in Large Language Models From Edge to Giantaccepted
- External Memory Matters: Generalizable Object-Action Memory for Retrieval-Augmented Long-Term Video Understandingaccepted
- Eye-See-You: Reverse Pass-Through VR and Head Avatarsaccepted
- EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VRaccepted
- FADE: Towards Fairness-aware Data Generation for Domain Generalization via Classifier-Guided Score-based Diffusion Modelsaccepted
- FAST: A Lightweight Mechanism Unleashing Arbitrary Client Participation in Federated Learningaccepted
- FBQuant: FeedBack Quantization for Large Language Modelsaccepted
- FCKT: Fine-Grained Cross-Task Knowledge Transfer with Semantic Contrastive Learning for Targeted Sentiment Analysisaccepted
- FGeo-HyperGNet: Geometric Problem Solving Integrating FormalGeo Symbolic System and Hypergraph Neural Networkaccepted
- FLARE: A Framework for Stellar Flare Forecasting Using Stellar Physical Properties and Historical Recordsaccepted
- FS-KEN: Few-shot Knowledge Graph Reasoning by Adversarial Negative Enhancingaccepted
- Facets in Argumentation: A Formal Approach to Argument Significanceaccepted
- Fair Incomplete Multi-View Clustering via Distribution Alignmentaccepted
- Fair Submodular Maximization over a Knapsack Constraintaccepted
- FairCognizer: A Model for Accurate Predictions with Inherent Fairness Evaluation (Extended Abstract)accepted
- FairSMOE: Mitigating Multi-Attribute Fairness Problem with Sparse Mixture-of-Expertsaccepted
- Fairness-Aware Interactive Target Variable Definitionaccepted
- FancyVideo: Towards Dynamic and Consistent Video Generation via Cross-frame Textual Guidanceaccepted
- Fast Explanations via Policy Gradient-Optimized Explaineraccepted
- Fast Guaranteed Tensor Recovery with Adaptive Tensor Nuclear Normaccepted
- Fast Second-Order Online Kernel Learning Through Incremental Matrix Sketching and Decompositionaccepted
- Fast and Stronger Lower Bounds for Planar Euclidean Shortest Pathsaccepted
- FastBlend: Enhancing Video Stylization Consistency via Model-Free Patch Blendingaccepted
- Faster Annotation for Elevation-Guided Flood Extent Mapping by Consistency-Enhanced Active Learningaccepted
- Fault Diagnosis in REDNet Model Spaceaccepted
- Featured Argumentation Framework: Semantics and Complexityaccepted
- FedAPA: Server-side Gradient-Based Adaptive Personalized Aggregation for Federated Learning on Heterogeneous Dataaccepted
- FedBG: Proactively Mitigating Bias in Cross-Domain Graph Federated Learning Using Background Dataaccepted
- FedCCH: Automatic Personalized Graph Federated Learning for Inter-Client and Intra-Client Heterogeneityaccepted
- FedCM: Client Clustering and Migration in Federated Learning via Gradient Path Similarity and Update Direction Deviationaccepted
- FedCPD:Personalized Federated Learning with Prototype-Enhanced Representation and Memory Distillationaccepted
- FedDLAD: A Federated Learning Dual-Layer Anomaly Detection Framework for Enhancing Resilience Against Backdoor Attacksaccepted
- FedHAN: A Cache-Based Semi-Asynchronous Federated Learning Framework Defending Against Poisoning Attacks in Heterogeneous Clientsaccepted
- FedSaaS: Class-Consistency Federated Semantic Segmentation via Global Prototype Supervision and Local Adversarial Harmonizationaccepted
- Federated Deconfounding and Debiasing Learning for Out-of-Distribution Generalizationaccepted
- Federated Domain Generalization with Decision Insight Matrixaccepted
- Federated Learning at the Forefront of Fairness: A Multifaceted Perspectiveaccepted
- Federated Low-Rank Adaptation for Foundation Models: A Surveyaccepted
- Federated Multi-view Graph Clustering with Incomplete Attribute Imputationaccepted
- Federated Stochastic Bilevel Optimization with Fully First-Order Gradientsaccepted
- Feint and Attack: Jailbreaking and Protecting LLMs via Attention Distribution Modelingaccepted
- Few-Shot Incremental Multi-modal Learning via Touch Guidance and Imaginary Vision Synthesisaccepted
- Few-shot Novel Category Discoveryaccepted
- Filling the Missings: Spatiotemporal Data Imputation by Conditional Diffusionaccepted
- Find and Perceive: Tell Visual Change with Fine-Grained Comparisonaccepted
- Finding Possible Winners in Spatial Voting with Incomplete Informationaccepted
- Fine-Grained and Efficient Self-Unlearning with Layered Iterationaccepted
- Fine-grained Prompt Screening: Defending Against Backdoor Attack on Text-to-Image Diffusion Modelsaccepted
- Finite-Time Analysis of Heterogeneous Federated Temporal Difference Learningaccepted
- First-Order Coalition Logicaccepted
- FissionVAE: Federated Non-IID Image Generation with Latent Space and Decoder Decompositionaccepted
- Flexible Generalized Low-Rank Regularizer for Tensor RPCAaccepted
- Flow Matching Based Sequential Recommender Modelaccepted
- Flow-based Time-aware Causal Structure Learning for Sequential Recommendationaccepted
- ForgDiffuser: General Image Forgery Localization with Diffusion Modelsaccepted
- Formal Synthesis of Safe Kolmogorov-Arnold Network Controllers with Barrier Certificatesaccepted
- FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecastingaccepted
- Free Lunch of Image-mask Alignment for Anomaly Image Generation and Segmentationaccepted
- FreqLLM: Frequency-Aware Large Language Models for Time Series Forecastingaccepted
- FreqMoE: Dynamic Frequency Enhancement for Neural PDE Solversaccepted
- Frequency-Aware Deep Depth from Focusaccepted
- From End-to-end to Step-by-step: Learning to Abstract via Abductive Reinforcement Learningaccepted
- From General Relation Patterns to Task-Specific Decision-Making in Continual Multi-Agent Coordinationaccepted
- From Individual to Universal: Regularized Multi-view Joint Representation for Multi-view Subspace-Preserving Recoveryaccepted
- From Sparse to Complete: Semantic Understanding Based on Stroke Evolution in On-the-fly Sketch-based Image Retrievalaccepted
- Fully Test-Time Adaptation for Feature Decrement in Tabular Dataaccepted
- Fusion of Granular-Ball Visual Spatial Representations for Enhanced Facial Expression Recognitionaccepted
- G3PT: Unleash the Power of Autoregressive Modeling in 3D Generation via Cross-Scale Querying Transformeraccepted
- GATES: Cost-aware Dynamic Workflow Scheduling via Graph Attention Networks and Evolution Strategyaccepted
- GBGC: Efficient and Adaptive Graph Coarsening via Granular-ball Computingaccepted
- GCNT: Graph-Based Transformer Policies for Morphology-Agnostic Reinforcement Learningaccepted
- GCTAM: Global and Contextual Truncated Affinity Combined Maximization Model For Unsupervised Graph Anomaly Detectionaccepted
- GE-Chat: A Graph Enhanced RAG Framework for Evidential Response Generation of LLMsaccepted
- GETMusic: Generating Music Tracks with a Unified Representation and Diffusion Frameworkaccepted
- GLDiTalker: Speech-Driven 3D Facial Animation with Graph Latent Diffusion Transformeraccepted
- GPI-Net: Gestalt-Guided Parallel Interaction Network via Orthogonal Geometric Consistency for Robust Point Cloud Registrationaccepted
- GPL4SRec: Graph Multi-Level Aware Prompt Learning for Streaming Recommendationaccepted
- GRAML: Goal Recognition As Metric Learningaccepted
- GRAPE: Heterogeneous Graph Representation Learning for Genetic Perturbation with Coding and Non-Coding Biotypeaccepted
- GSDNet: Revisiting Incomplete Multimodality-Diffusion Emotion Recognition from the Perspective of Graph Spectrumaccepted
- GSDet: Gaussian Splatting for Oriented Object Detectionaccepted
- Game Theory Meets Large Language Models: A Systematic Surveyaccepted
- GarmentDiffusion: 3D Garment Sewing Pattern Generation with Multimodal Diffusion Transformersaccepted
- Gaussian Mixture Model for Graph Domain Adaptationaccepted
- General Incomplete Time Series Analysis via Patch Dropping Without Imputationaccepted
- Generalized Safe Conditional Syntax Splitting of Belief Basesaccepted
- Generate or Re-Weight? A Mutual-Guidance Method for Class-Imbalanced Graphsaccepted
- Generating Grounded Responses to Counter Misinformation via Learning Efficient Fine-Grained Critiquesaccepted
- Generative AI for Immersive Video: Recent Advances and Future Opportunitiesaccepted
- Generative Agents for Multimodal Controversy Detectionaccepted
- Generative Co-Design of Antibody Sequences and Structures via Black-Box Guidance in a Shared Latent Spaceaccepted
- Generative Multi-Agent Collaboration in Embodied AI: A Systematic Reviewaccepted
- Generic Adversarial Attack Framework Against Vertical Federated Learningaccepted
- Global Information Compensation Network for Image Denoisingaccepted
- Going Beyond Consistency: Target-oriented Multi-view Graph Neural Networkaccepted
- Good Advisor for Source Localization: Using Large Language Model to Guide the Source Inference Processaccepted
- Gradient-based Causal Feature Selectionaccepted
- Granular-Ball-Induced Multiple Kernel K-Meansaccepted
- Graph Embedded Contrastive Learning for Multi-View Clusteringaccepted
- Graph Neural Networks for Databases: A Surveyaccepted
- Graph OOD Detection via Plug-and-Play Energy-based Evaluation and Propagationaccepted
- Graph Prompts: Adapting Video Graph for Video Question Answeringaccepted
- Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Methodaccepted
- GraphAD: Interaction Scene Graph for End-to-end Autonomous Drivingaccepted
- GraphProt: Certified Black-Box Shielding Against Backdoored Graph Modelsaccepted
- Grounding Creativity in Physics: A Brief Survey of Physical Priors in AIGCaccepted
- Grounding Methods for Neural-Symbolic AIaccepted
- Grounding Open-Domain Knowledge from LLMs to Real-World Reinforcement Learning Tasks: A Surveyaccepted
- Guiding LLM-based Smart Contract Generation with Finite State Machineaccepted
- Guiding Large Language Models in Modeling Optimization Problems via Question Partitioningaccepted
- HA-SCN: Learning Hierarchical Aligned Subtree Convolutional Networks for Graph Classificationaccepted
- HARMONY: A Privacy-preserving and Sensor-agnostic Tele-monitoring systemaccepted
- HCRide: Harmonizing Passenger Fairness and Driver Preference for Human-Centered Ride-Hailingaccepted
- HGEN: Heterogeneous Graph Ensemble Networksaccepted
- HGMP: Heterogeneous Graph Multi-Task Prompt Learningaccepted
- HIPP: Protecting Image Privacy via High-Quality Reversible Protected Versionaccepted
- HLMTrans: A Sim-to-Real Transfer Framework for Spatial Crowdsourcing with Human-Guided Language Modelsaccepted
- HPDM: A Hierarchical Popularity-aware Debiased Modeling Approach for Personalized News Recommenderaccepted
- HSRMamba: Contextual Spatial-Spectral State Space Model for Single Hyperspectral Image Super-Resolutionaccepted
- Hallucination Reduction in Video-Language Models via Hierarchical Multimodal Consistencyaccepted
- Hallucination-Aware Prompt Optimization for Text-to-Video Synthesisaccepted
- Hand by Hand: LLM Driving EMS Assistant for Operational Skill Learningaccepted
- Handling Infinite Domain Parameters in Planning Through Best-First Search with Delayed Partial Expansionsaccepted
- Harnessing Vision Models for Time Series Analysis: A Surveyaccepted
- Hazard Function Guided Agent-Based Models: A Case Study of Return Migration from Poland to Ukraineaccepted
- HeTa: Relation-wise Heterogeneous Graph Foundation Attack Modelaccepted
- HealthLens: A Natural Language Querying System for Interactive Visualization of Electronic Health Recordsaccepted
- Heterogeneous Federated Learning with Scalable Server Mixture-of-Expertsaccepted
- Heterogeneous Temporal Hypergraph Neural Networkaccepted
- Heterophily-Aware Personalized PageRank for Node Classificationaccepted
- HiTuner: Hierarchical Semantic Fusion Model Fine-Tuning on Text-Attributed Graphsaccepted
- Hierarchy Knowledge Graph for Parameter-Efficient Entity Embeddingaccepted
- High-Confident Local Structure Guided Consensus Graph Learning For Incomplete Multi-view Clusteringaccepted
- High-Fidelity Road Network Generation with Latent Diffusion Modelsaccepted
- Higher-order Logical Knowledge Representation Learningaccepted
- Horae: A Domain-Agnostic Language for Automated Service Regulationaccepted
- How to Enable LLM with 3D Capacity? A Survey of Spatial Reasoning in LLMaccepted
- How to Make Reproducible Research in Machine Unlearning with ERASUREaccepted
- How to Mitigate Information Loss in Knowledge Graphs for GraphRAG: Leveraging Triple Context Restoration and Query-Driven Feedbackaccepted
- How to Resolve Envy by Adding Goodsaccepted
- How to Teach Programming in the AI Era? Using LLMs as a Teachable Agent for Debugging (Extended Abstract)accepted
- Human Activity Recognition in an Open World (Abstract Reprint)accepted
- Human Motion Capture from Loose and Sparse Inertial Sensors with Garment-aware Diffusion Modelsaccepted
- Human-AI Coevolution (Abstract Reprint)accepted
- Human-Centric Foundation Models: Perception, Generation and Agentic Modelingaccepted
- Human-Imperceptible, Machine-Recognizable Imagesaccepted
- Human-Readable Neuro-Fuzzy Networks from Frequent Yet Discernible Patterns in Reward-Based Environmentsaccepted
- Hybrid Local Causal Discoveryaccepted
- Hybrid Mesh-Gaussian Representation for Efficient Indoor Scene Reconstructionaccepted
- Hybrid Relational Graphs with Sentiment-laden Semantic Alignment for Multimodal Emotion Recognition in Conversationaccepted
- HygMap: Representing All Types of Map Entities via Heterogeneous Hypergraphaccepted
- HyperDet: Source Detection in Hypergraphs via Interactive Relationship Construction and Feature-rich Attention Fusionaccepted
- HyperTrans: Efficient Hypergraph-Driven Cross-Domain Pattern Transfer in Image Anomaly Detectionaccepted
- Hypernetwork Aggregation for Decentralized Personalized Federated Learningaccepted
- ID-RemovalNet: Identity Removal Network for EEG Privacy Protection with Enhancing Decoding Tasksaccepted
- IE-PMMA:Point Cloud Completion Through Inverse Edge-aware Upsampling and Precise Multi-Modal Feature Alignmentaccepted
- IGraSS: Learning to Identify Infrastructure Networks from Satellite Imagery by Iterative Graph-constrained Semantic Segmentationaccepted
- ILIF: Temporal Inhibitory Leaky Integrate-and-Fire Neuron for Overactivation in Spiking Neural Networksaccepted
- INFP: INdustrial Video Anomaly Detection via Frequency Prioritizationaccepted
- INT: Instance-Specific Negative Mining for Task-Generic Promptable Segmentationaccepted
- Identifying Causal Mechanism Shifts Under Additive Models with Arbitrary Noiseaccepted
- Identifying Drivers of Predictive Aleatoric Uncertaintyaccepted
- Identifying and Reusing Learnwares Across Different Label Spacesaccepted
- Image Captioning Evaluation in the Age of Multimodal LLMs: Challenges and Future Perspectivesaccepted
- Image-Enhanced Hybrid Encoding with Reinforced Contrastive Learning for Spatial Domain Identification in Spatial Transcriptomicsaccepted
- Imagination-Limited Q-Learning for Offline Reinforcement Learningaccepted
- Imitation Learning via Focused Satisficingaccepted
- Implicitly Aligning Humans and Autonomous Agents through Shared Task Abstractionsaccepted
- Improved Approximation Ratio for Strategyproof Facility Location on a Cycleaccepted
- Improved MMS Approximations for Few Agent Typesaccepted
- Improved Rank Aggregation Under Fairness Constraintaccepted
- Improvements to the Generate-and-Complete Approach to Conformant Planningaccepted
- Improving Consistency Identification in Task-oriented Dialogue Through Multi-Agent Collaborationaccepted
- Improving Efficiency of Answer Set Planning with Rough Solutions from Large Language Models for Robotic Task Planningaccepted
- Improving Generalization in Meta-Learning via Meta-Gradient Augmentationaccepted
- Improving Prediction Certainty Estimation for Reliable Early Exiting via Null Space Projectionaccepted
- Imputation-free Incomplete Multi-view Clustering via Knowledge Distillationaccepted
- ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Dataaccepted
- In-Context Meta LoRA Generationaccepted
- In-context Learning Demonstration Generation with Text Distillationaccepted
- Incentives for Early Arrival in Cooperative Games (Extended Abstract)accepted
- Incentivizing Safer Actions in Policy Optimization for Constrained Reinforcement Learningaccepted
- Inconsistency Handling in DatalogMTLaccepted
- Inconsistency-Based Federated Active Learningaccepted
- Incorporating Legal Logic into Deep Learning: An Intelligent Approach to Probation Predictionaccepted
- Incorporating Visual Experts to Resolve the Information Loss in Multimodal Large Language Modelsaccepted
- Indirect Alignment and Relationship Preservation for Domain Generalizationaccepted
- Indirect Online Preference Optimization via Reinforcement Learningaccepted
- InfVC: An Inference-Enhanced Local Search Algorithm for the Minimum Vertex Cover Problem in Massive Graphsaccepted
- Inference of Human-derived Specifications of Object Placement via Demonstrationaccepted
- Inferring Causal Protein Signaling Networks with Reinforcement Learning via Artificial Bee Colony Neural Architecture Searchaccepted
- Initial Models and Serialisability in Abstract Dialectical Frameworksaccepted
- Injecting Imbalance Sensitivity for Multi-Task Learningaccepted
- InnateCoder: Learning Programmatic Options with Foundation Modelsaccepted
- InstGAN: Instant Actor-Critic-Driven GAN for De Novo Molecule Generation and Property Optimizationaccepted
- Instance Relation Learning Network with Label Knowledge Propagation for Few-shot Multi-label Intent Detectionaccepted
- Instantiation-based Formalization of Logical Reasoning Tasks Using Language Models and Logical Solversaccepted
- Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimizationaccepted
- Integrating Answer Set Programming and Large Language Models for Enhanced Structured Representation of Complex Knowledge in Natural Languageaccepted
- Integrating Independent Layer-Wise Rank Selection with Low-Rank SVD Training for Model Compression: A Theory-Driven Approachaccepted
- Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Surveyaccepted
- Integration of Old and New Knowledge for Generalized Intent Discovery: A Consistency-driven Prototype-Prompting Frameworkaccepted
- Inter3D: A Benchmark and Strong Baseline for Human-Interactive 3D Object Reconstructionaccepted
- Interaction-Data-guided Conditional Instrumental Variables for Debiasing Recommender Systemsaccepted
- Interactive Multimodal Learning via Flat Gradient Modificationaccepted
- Interpretable DNFsaccepted
- Interpreting Pretrained Language Models via Concept Bottlenecks (Extended Abstract)accepted
- Interval Selection with Binary Predictionsaccepted
- Intoner: For Chinese Poetry Intoning Synthesisaccepted
- Inverse Game Theory: An Incenter-Based Approachaccepted
- IterMeme: Expert-Guided Multimodal LLM for Interactive Meme Creation with Layout-Aware Generationaccepted
- Iterated Belief Change as Learningaccepted
- Joint-Perturbation Simultaneous Pseudo-Gradientaccepted
- K-Buffers: A Plug-in Method for Enhancing Neural Fields with Multiple Buffersaccepted
- KGCL: Knowledge-Enhanced Graph Contrastive Learning for Retrosynthesis Prediction Based on Molecular Graph Editingaccepted
- KIPPO: Koopman-Inspired Proximal Policy Optimizationaccepted
- KP-PINNs: Kernel Packet Accelerated Physics Informed Neural Networksaccepted
- Keypoints as Dynamic Centroids for Unified Human Pose and Segmentationaccepted
- KnowMDD: Knowledge-guided Cross Contrastive Learning for Major Depressive Disorder Diagnosisaccepted
- KnowRA: Knowledge Retrieval Augmented Method for Document-level Relation Extraction with Comprehensive Reasoning Abilitiesaccepted
- Knowledge Editing for Multi-Hop Question Answering Using Semantic Analysisaccepted
- Knowledge-Informed Deep Learning for Irrigation Type Mapping from Remote Sensingaccepted
- L2M2: A Hierarchical Framework Integrating Large Language Model and Multi-agent Reinforcement Learningaccepted
- LEKA: LLM-Enhanced Knowledge Augmentationaccepted
- LLM-TPF: Multiscale Temporal Periodicity-Semantic Fusion LLMs for Time Series Forecastingaccepted
- LLM-based Collaborative Agents with Pedagogy-guided Interaction Modeling for Timely Instructive Feedback Generation in Task-oriented Group Discussionsaccepted
- LLM-enhanced Score Function Evolution for Causal Structure Learningaccepted
- LLM4VKG: Leveraging Large Language Models for Virtual Knowledge Graph Constructionaccepted
- LP-Based Weighted Model Integration over Non-Linear Real Arithmeticaccepted
- LPDetective: Dusting the LLM Chats for Prompt Template Abusersaccepted
- LRGR: Self-Supervised Incomplete Multi-View Clustering via Local Refinement and Global Realignmentaccepted
- LTLf+ and PPLTL+: Extending LTLf and PPLTL to Infinite Tracesaccepted
- Label Distribution Learning with Biased Annotations Assisted by Multi-Label Learningaccepted
- Language-Based Bayesian Optimization Research Assistant (BORA)accepted
- Language-Conditioned Open-Vocabulary Mobile Manipulation with Pretrained Modelsaccepted
- Language-Guided Hybrid Representation Learning for Visual Grounding on Remote Sensing Imagesaccepted
- Large Language Model Meets Constraint Propagationaccepted
- Large Language Models for Causal Discovery: Current Landscape and Future Directionsaccepted
- Large-Scale Trade-Off Curve Computation for Incentive Allocation with Cardinality and Matroid Constraintsaccepted
- Latte: Transfering LLMs' Latent-level Knowledge for Few-shot Tabular Learningaccepted
- Lazy Testing of Machine-Learning Modelsaccepted
- Learn Multi-task Anchor: Joint View Imputation and Label Generation for Incomplete Multi-view Clusteringaccepted
- Learn from Global Rather Than Local: Consistent Context-Aware Representation Learning for Multi-View Graph Clusteringaccepted
- Learn to Think: Bootstrapping LLM Logic Through Graph Representation Learningaccepted
- Learnable Frequency Decomposition for Image Forgery Detection and Localizationaccepted
- Learning Accurate and Interpretable Decision Trees (Extended Abstract)accepted
- Learning Advanced Self-Attention for Linear Transformers in the Singular Value Domainaccepted
- Learning Causally Disentangled Representations for Fair Personality Detectionaccepted
- Learning Dynamical Coupled Operator For High-dimensional Black-box Partial Differential Equationsaccepted
- Learning Heterogeneous Performance-Fairness Trade-offs in Federated Learningaccepted
- Learning Neural Jump Stochastic Differential Equations with Latent Graph for Multivariate Temporal Point Processesaccepted
- Learning Neural Vocoder from Range-Null Space Decompositionaccepted
- Learning Optimal Oblique Decision Trees with (Max)SATaccepted
- Learning Probabilistic Temporal Logic Specifications for Stochastic Systemsaccepted
- Learning Real Facial Concepts for Independent Deepfake Detectionaccepted
- Learning Robust Multi-view Representation Using Dual-masked VAEsaccepted
- Learning from Logical Constraints with Lower- and Upper-Bound Arithmetic Circuitsaccepted
- Learning to Explain: Towards Human-Aligned Explainability in Deep Reinforcement Learning via Attention Guidanceaccepted
- Learning to Extrapolate and Adjust: Two-Stage Meta-Learning for Concept Drift in Online Time Series Forecastingaccepted
- LensNet: An End-to-End Learning Framework for Empirical Point Spread Function Modeling and Lensless Imaging Reconstructionaccepted
- Let’s Group: A Plug-and-Play SubGraph Learning Method for Memory-Efficient Spatio-Temporal Graph Modelingaccepted
- Leveraging Artificial Intelligence to Bridge Gaps in Pediatric Oncology Care for Marginalized Spanish-Speaking Communitiesaccepted
- Leveraging Large Language Models for Active Merchant Non-player Charactersaccepted
- Leveraging MLLM Embeddings and Attribute Smoothing for Compositional Zero-Shot Learningaccepted
- Leveraging Peer-Informed Label Consistency for Robust Graph Neural Networks with Noisy Labelsaccepted
- Leveraging Personalized PageRank and Higher-Order Topological Structures for Heterophily Mitigation in Graph Neural Networksaccepted
- Leveraging Pretrained Diffusion Models for Zero-Shot Part Assemblyaccepted
- LiBOG: Lifelong Learning for Black-Box Optimizer Generationaccepted
- Linear Trading Position with Sparse Spectrumaccepted
- ListenNet: A Lightweight Spatio-Temporal Enhancement Nested Network for Auditory Attention Detectionaccepted
- LivePoem: Improving the Learning Experience of Classical Chinese Poetry with AI-Generated Musical Storyboardsaccepted
- LoD: Loss-difference OOD Detection by Intentionally Label-Noisifying Unlabeled Wild Dataaccepted
- Localizing Before Answering: A Benchmark for Grounded Medical Visual Question Answeringaccepted
- Logarithmic Approximations for Fair k-Set Selectionaccepted
- LogiCase: Effective Test Case Generation from Logical Description in Competitive Programmingaccepted
- LogiDebrief: A Signal-Temporal Logic Based Automated Debriefing Approach with Large Language Models Integrationaccepted
- Logic Distillation: Learning from Code Function by Function for Decision-making Tasksaccepted
- Long-Term Individual Causal Effect Estimation via Identifiable Latent Representation Learningaccepted
- Low-Light Video Enhancement via Spatial-Temporal Consistent Decompositionaccepted
- M3ANet: Multi-scale and Multi-Modal Alignment Network for Brain-Assisted Target Speaker Extractionaccepted
- M4Bench: A Benchmark of Multi-domain Multi-granularity Multi-image Understanding for Multi-modal Large Language Modelsaccepted
- MA-RAG: Automating Role Engineering for RESTful APIs with Multi-Head Attention and Retrieval-Augmented Generationaccepted
- MAGE: Multimodal Alignment and Generation Enhancement via Bridging Visual and Semantic Spacesaccepted
- MASTER: A Multi-granularity Invariant Structure Clustering Scheme for Multi-view Clusteringaccepted
- MATCH: Modality-Calibrated Hypergraph Fusion Network for Conversational Emotion Recognitionaccepted
- MC3D-AD: A Unified Geometry-aware Reconstruction Model for Multi-category 3D Anomaly Detectionaccepted
- MCD-CLIP: Multi-view Chest Disease Diagnosis with Disentangled CLIPaccepted
- MCF-Spouse: A Multi-Label Causal Feature Selection Method with Optimal Spouses Discoveryaccepted
- MCloudNet: An Ultra-Short-Term Photovoltaic Power Forecasting Framework With Multi-Layer Cloud Coverageaccepted
- MEGAD: A Memory-Efficient Framework for Large-Scale Attributed Graph Anomaly Detectionaccepted
- METEOR: Melody-aware Texture-controllable Symbolic Music Re-Orchestration via Transformer VAEaccepted
- METOR: A Unified Framework for Mutual Enhancement of Objects and Relationships in Open-vocabulary Video Visual Relationship Detectionaccepted
- MGCA-Net: Multi-Graph Contextual Attention Network for Two-View Correspondence Learningaccepted
- MHANet: Multi-scale Hybrid Attention Network for Auditory Attention Detectionaccepted
- MIRROR: Multi-agent Intra- and Inter-Reflection for Optimized Reasoning in Tool Learningaccepted
- MMET: A Multi-Input and Multi-Scale Transformer for Efficient PDEs Solvingaccepted
- MMGIA: Gradient Inversion Attack Against Multimodal Federated Learning via Intermodal Correlationaccepted
- MMNet: Missing-Aware and Memory-Enhanced Network for Multivariate Time Series Imputationaccepted
- MPPQ: Enhancing Post-Training Quantization for LLMs via Mixed Supervision, Proxy Rounding, and Pre-Searchingaccepted
- MS-DPPs: Multi-Source Determinantal Point Processes for Contextual Diversity Refinement of Composite Attributes in Text to Image Retrievalaccepted
- MSCI: Addressing CLIP's Inherent Limitations for Compositional Zero-Shot Learningaccepted
- MSMAR-RL: Multi-Step Masked-Attention Recovery Reinforcement Learning for Safe Maneuver Decision in High-Speed Pursuit-Evasion Gameaccepted
- MSVIT: Improving Spiking Vision Transformer Using Multi-scale Attention Fusionaccepted
- MTGIB-UNet: A Multi-Task Graph Information Bottleneck and Uncertainty Weighted Network for ADMET Predictionaccepted
- MTPNet: Multi-Grained Target Perception for Unified Activity Cliff Predictionaccepted
- MVP-CBM: Multi-layer Visual Preference-enhanced Concept Bottleneck Model for Explainable Medical Image Classificationaccepted
- M^2LLM: Multi-view Molecular Representation Learning with Large Language Modelsaccepted
- Machine Learning Driven Optimization of Fe-Based TMCs for Photodynamic Therapyaccepted
- MagicTailor: Component-Controllable Personalization in Text-to-Image Diffusion Modelsaccepted
- Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Spaceaccepted
- Map2Traj: Street Map Piloted Zero-shot Trajectory Generation Method for Wireless Network Optimizationaccepted
- Mask Does Not Matter: A Unified Latent Diffusion-Enhanced Framework for Mask-Free Virtual Try-Onaccepted
- MaskDGNN: Self-Supervised Dynamic Graph Neural Networks with Activeness-aware Temporal Maskingaccepted
- Mat-Instructions: A Large-Scale Inorganic Material Instruction Dataset for Large Language Modelsaccepted
- MatchXplain: Analyzing Preferences, Explaining Outcomes, and Simplifying Decisionsaccepted
- Maximin Share Guarantees for Few Agents with Subadditive Valuationsaccepted
- Maximum Entropy Softmax Policy Gradient via Entropy Advantage Estimationaccepted
- Meaning Holism and Indeterminacy of Reference in Ontologies (Extended Abstract)accepted
- Measuring and Mitigating Homelessness Bias: Leveraging AI for Social Impactaccepted
- Mechanism Design for Large Language Models (Extended Abstract)accepted
- MedDiT: A Knowledge-Controlled Diffusion Transformer Framework for Dynamic Medical Image Generation in Virtual Simulated Patientaccepted
- MedualTime: A Dual-Adapter Language Model for Medical Time Series-Text Multimodal Learningaccepted
- Meta Label Correction with Generalization Regularizeraccepted
- Metapath and Hypergraph Structure-based Multi-Channel Graph Contrastive Learning for Student Performance Predictionaccepted
- MiniMal: Hard-Label Adversarial Attack Against Static Malware Detection with Minimal Perturbationaccepted
- Minimizing Polarization and Disagreement in the Friedkin–Johnsen Model with Unknown Innate Opinionsaccepted
- Misclassification-driven Fingerprinting for DNNs Using Frequency-aware GANsaccepted
- Mitigating Message Imbalance in Fraud Detection with Dual-View Graph Representation Learningaccepted
- Mitigating Over-Smoothing in Graph Neural Networks via Separation Coefficient-Guided Adaptive Graph Structure Adjustmentaccepted
- Mixture-of-Queries Transformer: Camouflaged Instance Segmentation via Queries Cooperation and Frequency Enhancementaccepted
- Modality-Fair Preference Optimization for Trustworthy MLLM Alignmentaccepted
- Modality-Guided Dynamic Graph Fusion and Temporal Diffusion for Self-Supervised RGB-T Trackingaccepted
- Model Rake: A Defense Against Stealing Attacks in Split Learningaccepted
- Model-Based Closed-Loop Control Algorithm for Stochastic Partial Differential Equation Controlaccepted
- Modular Deep Reinforcement Learning for Multi-Workload Offloading in Edge Networksaccepted
- MolHFCNet: Enhancing Molecular Graph Representations with Hierarchical Feature Combining and Hybrid Pretrainingaccepted
- MoleculeMiner: Extracting and Linking Molecule Figures with Tabular Metadataaccepted
- MonoMixer: Marrying Convolution and Vision Transformer for Efficient Self-Supervised Monocular Depth Estimationaccepted
- Moral Compass: A Data-Driven Benchmark for Ethical Cognition in AIaccepted
- More Efforts Towards Fixed-Parameter Approximability of Multiwinner Rulesaccepted
- Most General Explanations of Tree Ensemblesaccepted
- Most Probable Explanation in Probabilistic Answer Set Programmingaccepted
- MsRAG: Knowledge Augumented Image Captioning with Object-level Multi-source RAGaccepted
- Multi Objective Quantile Based Reinforcement Learning for Modern Urban Planningaccepted
- Multi-Agent Communication with Information Preserving Graph Contrastive Learningaccepted
- Multi-Agent Corridor Generating Algorithmaccepted
- Multi-Hierarchical Fine-Grained Feature Mapping Driven by Feature Contributions for Molecular Odor Predictionaccepted
- Multi-Label Text Classification with Label Attention Aware and Correlation Aware Contrastive Learningaccepted
- Multi-Modal Point Cloud Completion with Interleaved Attention Enhanced Transformeraccepted
- Multi-Objective Neural Bandits with Random Scalarizationaccepted
- Multi-Omics Analysis for Cancer Subtype Inference via Unrolling Graph Smoothness Priorsaccepted
- Multi-Organizational Scheduling: Individual Rationality, Optimality, and Complexityaccepted
- Multi-Scale Temporal Neural Network for Stock Trend Prediction Enhanced by Temporal Hyepredge Learningaccepted
- Multi-Sourced Compositional Generalization in Visual Question Answeringaccepted
- Multi-Task Curriculum Graph Contrastive Learning with Clustering Entropy Guidanceaccepted
- Multi-View Learning with Context-Guided Receptance for Image Denoisingaccepted
- Multi-granularity Knowledge Transfer for Continual Reinforcement Learningaccepted
- Multi-modal Anchor Gated Transformer with Knowledge Distillation for Emotion Recognition in Conversationaccepted
- Multi-player Multi-armed Bandits with Delayed Feedbackaccepted
- Multi-view Clustering via Multi-granularity Ensembleaccepted
- MultiDreamer3D: Multi-concept 3D Customization with Concept-Aware Diffusion Guidanceaccepted
- Multimodal Cancer Survival Analysis via Hypergraph Learning with Cross-Modality Rebalanceaccepted
- Multimodal Fake News Detection: MFND Dataset and Shallow-Deep Multitask Learningaccepted
- Multimodal Image Matching Based on Cross-Modality Completion Pre-trainingaccepted
- Multimodal Inference with Incremental Tabular Attributesaccepted
- Multimodal Inverse Attention Network with Intrinsic Discriminant Feature Exploitation for Fake News Detectionaccepted
- Multimodal Knowledge Retrieval-Augmented Iterative Alignment for Satellite Commonsense Conversationaccepted
- Multimodal Prior Learning with Double Constraint Alignment for Snapshot Spectral Compressive Imagingaccepted
- Multimodal Retina Image Analysis Survey: Datasets, Tasks and Methodsaccepted
- MutationGuard: A Graph and Temporal-Spatial Neural Method for Detecting Mutation Telecommunication Fraudaccepted
- NAAST-GNN: Neighborhood Adaptive Aggregation and Spectral Tuning for Graph Anomaly Detectionaccepted
- NS4S: Neighborhood Search for Scheduling Problems Via Large Language Modelsaccepted
- NSF-MAP: Neurosymbolic Multimodal Fusion for Robust and Interpretable Anomaly Prediction in Assembly Pipelinesaccepted
- NatSTV: Towards Verification of Natural Strategic Abilityaccepted
- Navigating Social Dilemmas with LLM-based Agents via Consideration of Future Consequencesaccepted
- NeSyA: Neurosymbolic Automataaccepted
- Negative Metric Learning for Graphsaccepted
- NeuBM: Mitigating Model Bias in Graph Neural Networks Through Neutral Input Calibrationaccepted
- Neuro-Symbolic Artificial Intelligence: A Task-Directed Survey in the Black-Box Models Eraaccepted
- Neuro-Symbolic Artificial Intelligence: Towards Improving the Reasoning Abilities of Large Language Modelsaccepted
- Neuromorphic Sequential Arena: A Benchmark for Neuromorphic Temporal Processingaccepted
- Neuron Similarity-Based Neural Network Verification via Abstraction and Refinementaccepted
- Never Train from Scratch: Fair Comparison of Long-Sequence Models Requires Data-Driven Priors (Extended Abstract)accepted
- New Algorithms for #2-SAT and #3-SATaccepted
- New Sequence-Independent Lifting Techniques for Cover Inequalities and When They Induce Facetsaccepted
- No Regret Reinforcement Learning Algorithms for Online Scheduling with Multi-Stage Tasksaccepted
- Noise Optimized Conditional Diffusion for Domain Adaptationaccepted
- Noise-Resistant Label Reconstruction Feature Selection for Partial Multi-Label Learningaccepted
- Non-Obvious Manipulability in Additively Separable and Fractional Hedonic Gamesaccepted
- Non-collective Calibrating Strategy for Time Series Forecastingaccepted
- Non-expansive Fuzzy ALCaccepted
- Not All Layers of LLMs Are Necessary During Inferenceaccepted
- Not in My Backyard! Temporal Voting Over Public Choresaccepted
- NotaGen: Advancing Musicality in Symbolic Music Generation with Large Language Model Training Paradigmsaccepted
- NovPhy: A Physical Reasoning Benchmark for Open-World AI Systems Author Links Open Overlay Panel (Abstract Reprint)accepted
- NuMDS: An Efficient Local Search Algorithm for Minimum Dominating Set Problemaccepted
- OMS: One More Step Noise Searching to Enhance Membership Inference Attacks for Diffusion Modelsaccepted
- OS-GCL: A One-Shot Learner in Graph Contrastive Learningaccepted
- OT-DETECTOR: Delving into Optimal Transport for Zero-shot Out-of-Distribution Detectionaccepted
- Object-Level Backdoor Attacks in RGB-T Semantic Segmentation with Cross-Modality Trigger Optimizationaccepted
- Odyssey : Empowering Minecraft Agents with Open-World Skillsaccepted
- Omni-Dimensional State Space Model-driven SAM for Pixel-level Anomaly Detectionaccepted
- On Definite Iterated Belief Revision with Belief Algebrasaccepted
- On Independence and SCC-Recursiveness in Assumption-Based Argumentationaccepted
- On Integrating Logical Analysis of Data into Random Forestsaccepted
- On Measuring Inconsistency in Graph Databases with Regular Path Constraints (Abstract Reprint)accepted
- On Middle Grounds for Preference Statementsaccepted
- On Temporal ASP with Eager Unfoldable Operatorsaccepted
- On the Discrimination and Consistency for Exemplar-Free Class Incremental Learningaccepted
- On the Generalization of Feature Incremental Learningaccepted
- On the Learning with Augmented Class via Forestsaccepted
- On the Power of Optimism in Constrained Online Convex Optimizationaccepted
- One-shot Federated Learning Methods: A Practical Guideaccepted
- One-step Label Shift Adaptation via Robust Weight Estimationaccepted
- Online 3D Gaussian Splatting Modeling with Novel View Selectionaccepted
- Online Housing Marketaccepted
- Online Planning in MDPs with Stochastic Durative Actionsaccepted
- Online Resource Sharing: Better Robust Guarantees via Randomized Strategiesaccepted
- Open-Vocabulary Fine-Grained Hand Action Detectionaccepted
- Open-World Semi-Supervised Learning with Class Semantic Correlationsaccepted
- OpenCarbon: A Contrastive Learning-based Cross-Modality Neural Approach for High-Resolution Carbon Emission Prediction Using Open Dataaccepted
- OpenIAI-SNIO: A Systematic AR-Based Assembly Guidance System for Small-Scale, High-Density Industrial Componentsaccepted
- Optical Flow Estimation for Tiny Objects: New Problem, Specialized Benchmark, and Bioinspired Schemeaccepted
- Optimal Capacity Modification for Stable Matchings with Tiesaccepted
- Optimal Distributed Training With Co-Adaptive Data Parallelism in Heterogeneous Environmentsaccepted
- Optimal Metric Distortion for Matching on the Lineaccepted
- Optimal Planning to Coordinate Science Data Collection and Downlink for a Constellation of Agile Satellites with Limited Storageaccepted
- Optimal Policy Adaptation Under Covariate Shiftaccepted
- Optimal Transport on Categorical Data for Conterfactuals Using Compositional Data and Dirichlet Transportaccepted
- Optimize Battery Control: A Multi-Objective Evolutionary Ensemble Reinforcement Learning Approachaccepted
- Optimized View and Geometry Distillation from Multi-view Diffuseraccepted
- Optimizing Parameters of Quantum Circuits with Sparsity-Inducing Coordinate Descentaccepted
- Optimizing Personalized Federated Learning Through Adaptive Layer-Wise Learningaccepted
- Optimizing the Battery-Swapping Problem in Urban E-Bike Systems with Reinforcement Learningaccepted
- Out-of-Distribution Detection by Regaining Lost Clues (Abstract Reprint)accepted
- Outstanding Orthodontist: No More Artifactual Teeth in Talking Faceaccepted
- PALA: Class-imbalanced Graph Domain Adaptation via Prototype-anchored Learning and Alignmentaccepted
- PAMol: Pocket-Aware Drug Design Method with Hypergraph Representation of Protein Pocket Structure and Feature Fusionaccepted
- PCAN: A Pandemic-Compatible Attentive Neural Network for Retail Sales Forecastingaccepted
- PCToolkit: A Unified Plug-and-Play Prompt Compression Toolkit of Large Language Modelsaccepted
- PDDFormer: Pairwise Distance Distribution Graph Transformer for Crystal Material Property Predictionaccepted
- PNAct: Crafting Backdoor Attacks in Safe Reinforcement Learningaccepted
- POLO: An LLM-Powered Project-Level Code Performance Optimization Frameworkaccepted
- POMP: Pathology-omics Multimodal Pre-training Framework for Cancer Survival Predictionaccepted
- PanComplex: Leveraging Complex-Valued Neural Networks for Enhanced Pansharpeningaccepted
- Paradigms of AI Evaluation: Mapping Goals, Methodologies and Cultureaccepted
- Parallel Belief Contraction via Order Aggregationaccepted
- Parallel Belief Revision via Order Aggregationaccepted
- Parameter-Efficient Fine-Tuning with Circulant and Diagonal Vectorsaccepted
- Parameterized Approximation Algorithm for Doubly Constrained Fair Clusteringaccepted
- Partial Label Clusteringaccepted
- Partially Observable Reference Policy Programmingaccepted
- Participatory Budgeting Project Strength via Candidate Controlaccepted
- PatternCIR Benchmark and TisCIR: Advancing Zero-Shot Composed Image Retrieval in Remote Sensingaccepted
- Pay Attention to the Keys: Visual Piano Transcription Using Transformersaccepted
- PeSANet: Physics-encoded Spectral Attention Network for Simulating PDE-Governed Complex Systemsaccepted
- PerfSeer: An Efficient and Accurate Deep Learning Models Performance Predictoraccepted
- Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approachaccepted
- Perspectives in Play: A Multi-Perspective Approach for More Inclusive NLP Systemsaccepted
- Phenotypic Profile-Informed Generation of Drug-Like Molecules via Dual-Channel Variational Autoencodersaccepted
- Physical Adversarial Camouflage Through Gradient Calibration and Regularizationaccepted
- Physics-Assisted and Topology-Informed Deep Learning for Weather Predictionaccepted
- Physics-based Generative Models for Geometrically Consistent and Interpretable Wireless Channel Synthesisaccepted
- Picturized and Recited with Dialects: A Multimodal Chinese Representation Framework for Sentiment Analysis of Classical Chinese Poetryaccepted
- Pixel-wise Divide and Conquer for Federated Vessel Segmentationaccepted
- Point Cloud Mixture-of-Domain-Experts Model for 3D Self-supervised Learningaccepted
- Poisoning-based Backdoor Attacks for Arbitrary Target Label with Positive Triggersaccepted
- Polynomial-Time Relational Probabilistic Inference in Open Universesaccepted
- Pre-defined Keypoints Promote Category-level Articulation Pose Estimation via Multi-Modal Alignmentaccepted
- Precarity and Solidarity: Preliminary Results on a Study of Queer and Disabled Fiction Writers’ Experiences with Generative AIaccepted
- Predicting Spectral Information for Self-Supervised Signal Classificationaccepted
- Preference Elicitation for Multi-objective Combinatorial Optimization with Active Learning and Maximum Likelihood Estimationaccepted
- Preference Identification by Interaction Overlap for Bundle Recommendationaccepted
- Preference-based Deep Reinforcement Learning for Historical Route Estimationaccepted
- Preventing Latent Diffusion Model-Based Image Mimicry via Angle Shifting and Ensemble Learningaccepted
- Priority Guided Explanation for Knowledge Tracing with Dual Ranking and Similarity Consistencyaccepted
- Privacy Preserving Solution of DCOPs by Local Searchaccepted
- ProMEA: Prompt-driven Expansion and Alignment for Single Domain Generalizationaccepted
- Proactive Data-driven Scheduling of Business Processesaccepted
- Probabilistic Analysis of Stable Matching in Large Markets with Siblingsaccepted
- Probabilistic Multimodal Learning with von Mises-Fisher Distributionsaccepted
- Problem-dependent Regret for Lexicographic Multi-Armed Bandits with Adversarial Corruptionsaccepted
- Progressive Modality-Adaptive Interactive Network for Multi-Modality Image Fusionaccepted
- Progressive Prefix-Memory Tuning for Complex Logical Query Answering on Knowledge Graphsaccepted
- Projection, Interaction and Fusion: A Progressive Difference Fusion Network for Salient Object Detectionaccepted
- Prompt-Aware Controllable Shadow Removalaccepted
- Prompt-Free Conditional Diffusion for Multi-object Image Augmentationaccepted
- Prototype-based Optimal Transport for Out-of-Distribution Detectionaccepted
- Prototype-guided Knowledge Propagation with Adaptive Learning for Lifelong Person Re-identificationaccepted
- Proven Approximation Guarantees in Multi-Objective Optimization: SPEA2 Beats NSGA-IIaccepted
- Pseudo-Label Reconstruction for Partial Multi-Label Learningaccepted
- Public Signaling in Markets with Information Asymmetry Using a Limited Number of Signalsaccepted
- PyTorch-Lifestream: Learning Embeddings on Discrete Event Sequencesaccepted
- Q-Detection: A Quantum-Classical Hybrid Poisoning Attack Detection Methodaccepted
- Q-MiniSAM2: A Quantization-based Benchmark for Resource-Efficient Video Segmentationaccepted
- QA-MDT: Quality-aware Masked Diffusion Transformer for Enhanced Music Generationaccepted
- QBR – A Question-Bank-Based Approach to Fine-Grained Legal Knowledge Retrieval for the General Publicaccepted
- QiMeng-TensorOp: One-Line Prompt is Enough for High-Performance Tensor Operator Generation with Hardware Primitivesaccepted
- Quantifying the Self-Interest Level of Markov Social Dilemmasaccepted
- QuantileFormer: Probabilistic Time Series Forecasting with a Pattern-Mixture Decomposed VAE Transformeraccepted
- Query-Based and Unnoticeable Graph Injection Attack from Neighborhood Perspectiveaccepted
- R2DQG: A Quality Meets Diversity Framework for Question Generation over Knowledge Basesaccepted
- RAMer: Reconstruction-based Adversarial Model for Multi-party Multi-modal Multi-label Emotion Recognitionaccepted
- RDPA: Real-Time Distributed-Concentrated Penetration Attack for Point Cloud Learningaccepted
- REVEAL: Multi-turn Evaluation of Image-Input Harms for Vision LLMsaccepted
- RF-DTR: A Multi-Stage DCT Token Regression Network for Progressive Rib Fracture Mask Refinementaccepted
- RLBCD: Residual-guided Latent Brownian-bridge Co-Diffusion for Anatomical-to-Metabolic Image Synthesisaccepted
- RLMiniStyler: Light-weight RL Style Agent for Arbitrary Sequential Neural Style Generationaccepted
- RPMIL: Rethinking Uncertainty-Aware Probabilistic Multiple Instance Learning for Whole Slide Pathology Diagnosisaccepted
- RRG-Mamba: Efficient Radiology Report Generation with State Space Modelaccepted
- RTdetector: Deep Transformer Networks for Time Series Anomaly Detection Based on Reconstruction Trendaccepted
- Randomised Optimism via Competitive Co-Evolution for Matrix Games with Bandit Feedbackaccepted
- Rating AI Models for Robustness Through a Causal Lensaccepted
- RePST: Language Model Empowered Spatio-Temporal Forecasting via Semantic-Oriented Reprogrammingaccepted
- Reasoning About Causal Knowledge in Nondeterministic Domainsaccepted
- Recalling The Forgotten Class Memberships: Unlearned Models Can Be Noisy Labelers to Leak Privacyaccepted
- Recommender Systems for Democracy: Toward Adversarial Robustness in Voting Advice Applicationsaccepted
- Reflective Verbal Reward Design for Pluralistic Alignmentaccepted
- RegionMatch: Pixel-Region Collaboration for Semi-Supervised Semantic Segmentation in Remote Sensing Imagesaccepted
- Reinforced In-Context Black-Box Optimizationaccepted
- Reinforcement Learning for Hybrid Charging Stations Planning and Operation Considering Fixed and Mobile Chargersaccepted
- Relation-Augmented Dueling Bayesian Optimization via Preference Propagationaccepted
- Relational Decomposition for Program Synthesisaccepted
- Reliable Disentanglement Multi-view Learning Against View Adversarial Attacksaccepted
- Reliable and Calibrated Semantic Occupancy Prediction by Hybrid Uncertainty Learningaccepted
- Reliable and Diverse Hierarchical Adapter for Zero-shot Video Classificationaccepted
- RenderBender: A Survey on Adversarial Attacks Using Differentiable Renderingaccepted
- RepObE: Representation Learning-Enhanced Obfuscation Encryption Modular Semantic Task Frameworkaccepted
- ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detectionaccepted
- Representation Learning with Mutual Influence of Modalities for Node Classification in Multi-Modal Heterogeneous Networksaccepted
- Requirement Patterns for Engineering Multiagent Interaction Protocolsaccepted
- Resistance is Futile: Gradually Declining Immunity Retains the Exponential Duration of Immunity-Free Diffusionaccepted
IJCAI accepted papers in other years
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