IJCAI 2024 Accepted Papers
The full list of 1,044 papers accepted at IJCAI 2024 (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.
Poster: 1,044
- Large Language Model Based Multi-agents: A Survey of Progress and ChallengesPoster436 citations
- AutoAgents: A Framework for Automatic Agent GenerationPoster97 citations
- A Survey of Graph Meets Large Language Model: Progress and Future DirectionsPoster94 citations
- Continual Learning with Pre-Trained Models: A SurveyPoster81 citations
- Large Language Models Are Not Strong Abstract ReasonersPoster68 citations
- Large Language Models for Time Series: A SurveyPoster64 citations
- ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image RecognitionPoster63 citations
- ScreenAI: A Vision-Language Model for UI and Infographics UnderstandingPoster60 citations
- Beyond the Limits: A Survey of Techniques to Extend the Context Length in Large Language ModelsPoster59 citations
- Knowledge Distillation in Federated Learning: A Practical GuidePoster54 citations
- Empowering Time Series Analysis with Large Language Models: A SurveyPoster52 citations
- ChatSpot: Bootstrapping Multimodal LLMs via Precise Referring Instruction TuningPoster50 citations
- A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and CondensationPoster43 citations
- ScreenAgent: A Vision Language Model-driven Computer Control AgentPoster41 citations
- gSASRec: Reducing Overconfidence in Sequential Recommendation Trained with Negative Sampling (Extended Abstract)Poster40 citations
- Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal ForecastingPoster39 citations
- Towards Generalizable Neural Solvers for Vehicle Routing Problems via Ensemble with Transferrable Local PolicyPoster32 citations
- Efficient Tuning and Inference for Large Language Models on Textual GraphsPoster27 citations
- A Survey of Data-Efficient Graph LearningPoster25 citations
- MusicMagus: Zero-Shot Text-to-Music Editing via Diffusion ModelsPoster25 citations
- Reinforcement Learning from Diverse Human PreferencesPoster25 citations
- RoboFusion: Towards Robust Multi-Modal 3D Object Detection via SAMPoster25 citations
- EAT: Self-Supervised Pre-Training with Efficient Audio TransformerPoster24 citations
- From Skepticism to Acceptance: Simulating the Attitude Dynamics Toward Fake NewsPoster24 citations
- A Survey on Efficient Federated Learning Methods for Foundation Model TrainingPoster23 citations
- Faster and Lighter LLMs: A Survey on Current Challenges and Way ForwardPoster22 citations
- Cross-Problem Learning for Solving Vehicle Routing ProblemsPoster21 citations
- Large Language Model Guided Knowledge Distillation for Time Series Anomaly DetectionPoster21 citations
- Robust Counterfactual Explanations in Machine Learning: A SurveyPoster20 citations
- Accelerating Diffusion Models for Inverse Problems through Shortcut SamplingPoster18 citations
- Continual Multimodal Knowledge Graph ConstructionPoster18 citations
- D3ETR: Decoder Distillation for Detection TransformerPoster18 citations
- TFWT: Tabular Feature Weighting with TransformerPoster16 citations
- A General Black-box Adversarial Attack on Graph-based Fake News DetectorsPoster15 citations
- A Survey of Constraint Formulations in Safe Reinforcement LearningPoster15 citations
- Beyond Alignment: Blind Video Face Restoration via Parsing-Guided Temporal-Coherent TransformerPoster15 citations
- DBPNet: Dual-Branch Parallel Network with Temporal-Frequency Fusion for Auditory Attention DetectionPoster15 citations
- Federated Adaptation for Foundation Model-based RecommendationsPoster15 citations
- LLMs Can Find Mathematical Reasoning Mistakes by Pedagogical Chain-of-ThoughtPoster15 citations
- MediTab: Scaling Medical Tabular Data Predictors via Data Consolidation, Enrichment, and RefinementPoster15 citations
- Safety of Multimodal Large Language Models on Images and TextPoster15 citations
- Understanding Public Perception Towards Weather Disasters Through the Lens of MetaphorPoster15 citations
- Unified Physical-Digital Face Attack DetectionPoster15 citations
- Arrange, Inpaint, and Refine: Steerable Long-term Music Audio Generation and Editing via Content-based ControlsPoster14 citations
- FedTAD: Topology-aware Data-free Knowledge Distillation for Subgraph Federated LearningPoster14 citations
- PTDE: Personalized Training with Distilled Execution for Multi-Agent Reinforcement LearningPoster14 citations
- Policy Space Response Oracles: A SurveyPoster14 citations
- Probabilistic Contrastive Learning for Domain AdaptationPoster14 citations
- RealDex: Towards Human-like Grasping for Robotic Dexterous HandPoster14 citations
- Detector Collapse: Backdooring Object Detection to Catastrophic Overload or Blindness in the Physical WorldPoster13 citations
- InstructEdit: Instruction-Based Knowledge Editing for Large Language ModelsPoster13 citations
- Large Language Model as a Policy Teacher for Training Reinforcement Learning AgentsPoster13 citations
- LocMoE: A Low-overhead MoE for Large Language Model TrainingPoster13 citations
- TIM: An Efficient Temporal Interaction Module for Spiking TransformerPoster13 citations
- Towards Highly Realistic Artistic Style Transfer via Stable Diffusion with Step-aware and Layer-aware PromptPoster13 citations
- A Survey on Cross-Domain Sequential RecommendationPoster12 citations
- A Survey on Neural Question Generation: Methods, Applications, and ProspectsPoster12 citations
- Learning Causally Disentangled Representations via the Principle of Independent Causal MechanismsPoster12 citations
- On the Essence and Prospect: An Investigation of Alignment Approaches for Big ModelsPoster12 citations
- ProMoAI: Process Modeling with Generative AIPoster12 citations
- Randomized Learning-Augmented Auctions with Revenue GuaranteesPoster12 citations
- Revisiting Neural Networks for Continual Learning: An Architectural PerspectivePoster12 citations
- Supervised Algorithmic Fairness in Distribution Shifts: A SurveyPoster12 citations
- Towards a Pretrained Model for Restless Bandits via Multi-arm GeneralizationPoster12 citations
- X-Light: Cross-City Traffic Signal Control Using Transformer on Transformer as Meta Multi-Agent Reinforcement LearnerPoster12 citations
- A Cognitive-Driven Trajectory Prediction Model for Autonomous Driving in Mixed Autonomy EnvironmentsPoster11 citations
- A Survey of Robotic Language Grounding: Tradeoffs between Symbols and EmbeddingsPoster11 citations
- CMMU: A Benchmark for Chinese Multi-modal Multi-type Question Understanding and ReasoningPoster11 citations
- Counterfactual User Sequence Synthesis Augmented with Continuous Time Dynamic Preference Modeling for Sequential POI RecommendationPoster11 citations
- Deep Frequency Derivative Learning for Non-stationary Time Series ForecastingPoster11 citations
- Dual Expert Distillation Network for Generalized Zero-Shot LearningPoster11 citations
- Efficient Multi-view Unsupervised Feature Selection with Adaptive Structure Learning and InferencePoster11 citations
- FairGT: A Fairness-aware Graph TransformerPoster11 citations
- Guidance Graph Optimization for Lifelong Multi-Agent Path FindingPoster11 citations
- MFTraj: Map-Free, Behavior-Driven Trajectory Prediction for Autonomous DrivingPoster11 citations
- NELLIE: A Neuro-Symbolic Inference Engine for Grounded, Compositional, and Explainable ReasoningPoster11 citations
- On the Pursuit of EFX for Chores: Non-existence and ApproximationsPoster11 citations
- Reinforcement Learning for Athletic Intelligence: Lessons from the 1st “AI Olympics with RealAIGym” CompetitionPoster11 citations
- An Archive Can Bring Provable Speed-ups in Multi-Objective Evolutionary AlgorithmsPoster10 citations
- Deciphering the Projection Head: Representation Evaluation Self-supervised LearningPoster10 citations
- Fine-tuning Pre-trained Models for Robustness under Noisy LabelsPoster10 citations
- GRASP: A Novel Benchmark for Evaluating Language GRounding and Situated Physics Understanding in Multimodal Language ModelsPoster10 citations
- Group-Aware Coordination Graph for Multi-Agent Reinforcement LearningPoster10 citations
- Intelligent Agents for Auction-based Federated Learning: A SurveyPoster10 citations
- LeRet: Language-Empowered Retentive Network for Time Series ForecastingPoster10 citations
- Meta In-Context Learning Makes Large Language Models Better Zero and Few-Shot Relation ExtractorsPoster10 citations
- ParsNets: A Parsimonious Composition of Orthogonal and Low-Rank Linear Networks for Zero-Shot LearningPoster10 citations
- Physics-Informed Trajectory Prediction for Autonomous Driving under Missing ObservationPoster10 citations
- TFCD: Towards Multi-modal Sarcasm Detection via Training-Free Counterfactual DebiasingPoster10 citations
- Temporal Graph ODEs for Irregularly-Sampled Time SeriesPoster10 citations
- Ten Words Only Still Help: Improving Black-Box AI-Generated Text Detection via Proxy-Guided Efficient Re-SamplingPoster10 citations
- Trends, Applications, and Challenges in Human Attention ModellingPoster10 citations
- Vulnerabilities of Single-Round Incentive Compatibility in Auto-bidding: Theory and Evidence from ROI-Constrained Online Advertising MarketsPoster10 citations
- Are Watermarks Bugs for Deepfake Detectors? Rethinking Proactive ForensicsPoster9 citations
- Attention Based Document-level Relation Extraction with None Class Ranking LossPoster9 citations
- DGCD: An Adaptive Denoising GNN for Group-level Cognitive DiagnosisPoster9 citations
- Fast Unpaired Multi-view ClusteringPoster9 citations
- FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated LearningPoster9 citations
- Guide to Numerical Experiments on Elections in Computational Social ChoicePoster9 citations
- Integrating Intent Understanding and Optimal Behavior Planning for Behavior Tree Generation from Human InstructionsPoster9 citations
- Integrating View Conditions for Image SynthesisPoster9 citations
- LangXAI: Integrating Large Vision Models for Generating Textual Explanations to Enhance Explainability in Visual Perception TasksPoster9 citations
- Large Language Model-Enhanced Algorithm Selection: Towards Comprehensive Algorithm RepresentationPoster9 citations
- Machine Unlearning via Null Space CalibrationPoster9 citations
- Simple Contrastive Multi-View Clustering with Data-Level FusionPoster9 citations
- Skip-Timeformer: Skip-Time Interaction Transformer for Long Sequence Time-Series ForecastingPoster9 citations
- Subgraph Pooling: Tackling Negative Transfer on GraphsPoster9 citations
- Unified Single-Stage Transformer Network for Efficient RGB-T TrackingPoster9 citations
- Weighted EF1 and PO Allocations with Few Types of Agents or ChoresPoster9 citations
- A Complete Landscape of EFX Allocations on Graphs: Goods, Chores and Mixed MannaPoster8 citations
- A Comprehensive Survey and Taxonomy on Point Cloud Registration Based on Deep LearningPoster8 citations
- Bridging Stereo Geometry and BEV Representation with Reliable Mutual Interaction for Semantic Scene CompletionPoster8 citations
- Down the Toxicity Rabbit Hole: A Framework to Bias Audit Large Language Models with Key Emphasis on Racism, Antisemitism, and MisogynyPoster8 citations
- Dual Contrastive Graph-Level Clustering with Multiple Cluster Perspectives AlignmentPoster8 citations
- Dynamic Weighted Graph Fusion for Deep Multi-View ClusteringPoster8 citations
- Enhancing Length Generalization for Attention Based Knowledge Tracing Models with Linear BiasesPoster8 citations
- Explaining Arguments’ Strength: Unveiling the Role of Attacks and SupportsPoster8 citations
- Guiding Clinical Reasoning with Large Language Models via Knowledge SeedsPoster8 citations
- Guiding GBFS through Learned Pairwise RankingsPoster8 citations
- LG-FGAD: An Effective Federated Graph Anomaly Detection FrameworkPoster8 citations
- LLMem: Estimating GPU Memory Usage for Fine-Tuning Pre-Trained LLMsPoster8 citations
- Learning a Spiking Neural Network for Efficient Image DerainingPoster8 citations
- Learning to Solve Geometry Problems via Simulating Human Dual-Reasoning ProcessPoster8 citations
- Manipulating Embeddings of Stable Diffusion PromptsPoster8 citations
- Multi-Modality Spatio-Temporal Forecasting via Self-Supervised LearningPoster8 citations
- NegativePrompt: Leveraging Psychology for Large Language Models Enhancement via Negative Emotional StimuliPoster8 citations
- Re-creation of Creations: A New Paradigm for Lyric-to-Melody GenerationPoster8 citations
- Redefining Contributions: Shapley-Driven Federated LearningPoster8 citations
- Self-Supervised Pre-training with Symmetric Superimposition Modeling for Scene Text RecognitionPoster8 citations
- Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal LearningPoster8 citations
- A Bias-Free Revenue-Maximizing Bidding Strategy for Data Consumers in Auction-based Federated LearningPoster7 citations
- BoostDream: Efficient Refining for High-Quality Text-to-3D Generation from Multi-View DiffusionPoster7 citations
- Cross-Domain Feature Augmentation for Domain GeneralizationPoster7 citations
- Dirichlet-based Uncertainty Quantification for Personalized Federated Learning with Improved Posterior NetworksPoster7 citations
- FastScene: Text-Driven Fast Indoor 3D Scene Generation via Panoramic Gaussian SplattingPoster7 citations
- Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu SearchPoster7 citations
- GS2P: A Generative Pre-trained Learning to Rank Model with Over-parameterization for Web-Scale Search (Extended Abstract)Poster7 citations
- Game Transformations That Preserve Nash Equilibria or Best-Response SetsPoster7 citations
- HyQ: Hardware-Friendly Post-Training Quantization for CNN-Transformer Hybrid NetworksPoster7 citations
- Hypergraph Self-supervised Learning with Sampling-efficient SignalsPoster7 citations
- Improving Pseudo Labels with Global-Local Denoising Framework for Cross-lingual Named Entity RecognitionPoster7 citations
- InfoMatch: Entropy Neural Estimation for Semi-Supervised Image ClassificationPoster7 citations
- LitE-SNN: Designing Lightweight and Efficient Spiking Neural Network through Spatial-Temporal Compressive Network Search and Joint OptimizationPoster7 citations
- Maintaining Diversity Provably Helps in Evolutionary Multimodal OptimizationPoster7 citations
- More is Better: Deep Domain Adaptation with Multiple SourcesPoster7 citations
- Natural Language Decomposition and Interpretation of Complex UtterancesPoster7 citations
- OSIC: A New One-Stage Image Captioner CoinedPoster7 citations
- Oasis: Data Curation and Assessment System for Pretraining of Large Language ModelsPoster7 citations
- Personalized Federated Learning for Cross-City Traffic PredictionPoster7 citations
- Quality-Diversity Algorithms Can Provably Be Helpful for OptimizationPoster7 citations
- Resolving Word Vagueness with Scenario-guided Adapter for Natural Language InferencePoster7 citations
- Safeguarding Fraud Detection from Attacks: A Robust Graph Learning ApproachPoster7 citations
- Scene-Adaptive Person Search via Bilateral ModulationsPoster7 citations
- SeeDRec: Sememe-based Diffusion for Sequential RecommendationPoster7 citations
- Stakeholder-oriented Decision Support for Auction-based Federated LearningPoster7 citations
- UniM-OV3D: Uni-Modality Open-Vocabulary 3D Scene Understanding with Fine-Grained Feature RepresentationPoster7 citations
- A Comprehensive Survey of Cross-Domain Policy Transfer for Embodied AgentsPoster6 citations
- A Dataset and Model for Realistic License Plate DeblurringPoster6 citations
- AI-Enhanced Virtual Reality in Medicine: A Comprehensive SurveyPoster6 citations
- Aggregation and Purification: Dual Enhancement Network for Point Cloud Few-shot SegmentationPoster6 citations
- Automatic De-Biased Temporal-Relational Modeling for Stock Investment RecommendationPoster6 citations
- Boosting Diffusion Models with an Adaptive Momentum SamplerPoster6 citations
- Bridging the Gap: Learning Pace Synchronization for Open-World Semi-Supervised LearningPoster6 citations
- CDSTraj: Characterized Diffusion and Spatial-Temporal Interaction Network for Trajectory Prediction in Autonomous DrivingPoster6 citations
- CLIP-FSAC: Boosting CLIP for Few-Shot Anomaly Classification with Synthetic AnomaliesPoster6 citations
- Continual Multi-View Clustering with Consistent Anchor GuidancePoster6 citations
- DarkFed: A Data-Free Backdoor Attack in Federated LearningPoster6 citations
- Detecting and Understanding Vulnerabilities in Language Models via Mechanistic InterpretabilityPoster6 citations
- DiffStega: Towards Universal Training-Free Coverless Image Steganography with Diffusion ModelsPoster6 citations
- Dynamic Many-Objective Molecular Optimization: Unfolding Complexity with Objective Decomposition and Progressive OptimizationPoster6 citations
- ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-EnsemblesPoster6 citations
- Emergence of Social Norms in Generative Agent Societies: Principles and ArchitecturePoster6 citations
- Exponential Lower Bounds on the Double Oracle Algorithm in Zero-Sum GamesPoster6 citations
- FLDM-VTON: Faithful Latent Diffusion Model for Virtual Try-onPoster6 citations
- Facility Location Problems with Capacity Constraints: Two Facilities and BeyondPoster6 citations
- FactCHD: Benchmarking Fact-Conflicting Hallucination DetectionPoster6 citations
- FairReFuse: Referee-Guided Fusion for Multi-Modal Causal Fairness in Depression DetectionPoster6 citations
- Fast One-Stage Unsupervised Domain Adaptive Person SearchPoster6 citations
- FedConPE: Efficient Federated Conversational Bandits with Heterogeneous ClientsPoster6 citations
- FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based OptimizationPoster6 citations
- FreqFormer: Frequency-aware Transformer for Lightweight Image Super-resolutionPoster6 citations
- From Optimization to Generalization: Fair Federated Learning against Quality Shift via Inter-Client Sharpness MatchingPoster6 citations
- Full Bayesian Significance Testing for Neural Networks in Traffic ForecastingPoster6 citations
- Gradformer: Graph Transformer with Exponential DecayPoster6 citations
- Graph Neural Networks for Brain Graph Learning: A SurveyPoster6 citations
- HyDiscGAN: A Hybrid Distributed cGAN for Audio-Visual Privacy Preservation in Multimodal Sentiment AnalysisPoster6 citations
- Imperfect-Recall Games: Equilibrium Concepts and Their ComplexityPoster6 citations
- Instantiations and Computational Aspects of Non-Flat Assumption-based ArgumentationPoster6 citations
- LG-GNN: Local-Global Adaptive Graph Neural Network for Modeling Both Homophily and HeterophilyPoster6 citations
- LLM-based Multi-Level Knowledge Generation for Few-shot Knowledge Graph CompletionPoster6 citations
- LeMeViT: Efficient Vision Transformer with Learnable Meta Tokens for Remote Sensing Image InterpretationPoster6 citations
- Learning Robust Classifiers with Self-Guided Spurious Correlation MitigationPoster6 citations
- Long Short-Term Dynamic Prototype Alignment Learning for Video Anomaly DetectionPoster6 citations
- MuseCL: Predicting Urban Socioeconomic Indicators via Multi-Semantic Contrastive LearningPoster6 citations
- PPTFormer: Pseudo Multi-Perspective Transformer for UAV SegmentationPoster6 citations
- Personalized Heart Disease Detection via ECG Digital Twin GenerationPoster6 citations
- Pointsoup: High-Performance and Extremely Low-Decoding-Latency Learned Geometry Codec for Large-Scale Point Cloud ScenesPoster6 citations
- Pre-DyGAE: Pre-training Enhanced Dynamic Graph Autoencoder for Occupational Skill Demand ForecastingPoster6 citations
- Predictive Modeling with Temporal Graphical Representation on Electronic Health RecordsPoster6 citations
- Recall, Retrieve and Reason: Towards Better In-Context Relation ExtractionPoster6 citations
- Recurrent Concept Drifts on Data StreamsPoster6 citations
- SDformer: Transformer with Spectral Filter and Dynamic Attention for Multivariate Time Series Long-term ForecastingPoster6 citations
- Solving Long-run Average Reward Robust MDPs via Stochastic GamesPoster6 citations
- TaD: A Plug-and-Play Task-Aware Decoding Method to Better Adapt LLMs on Downstream TasksPoster6 citations
- WeatherGNN: Exploiting Meteo- and Spatial-Dependencies for Local Numerical Weather Prediction Bias-CorrectionPoster6 citations
- Where to Mask: Structure-Guided Masking for Graph Masked AutoencodersPoster6 citations
- A Strategic Analysis of Prepayments in Financial Credit NetworksPoster5 citations
- Building Expressive and Tractable Probabilistic Generative Models: A ReviewPoster5 citations
- CGAP: Urban Region Representation Learning with Coarsened Graph Attention PoolingPoster5 citations
- ComVas: Contextual Moral Values Alignment SystemPoster5 citations
- Common-Individual Semantic Fusion for Multi-View Multi-Label LearningPoster5 citations
- Content Matters: A Computational Investigation into the Effectiveness of Retrieval Practice and Worked Examples (Extended Abstract)Poster5 citations
- DANCE: Dual-View Distribution Alignment for Dataset CondensationPoster5 citations
- DeepLight: Reconstructing High-Resolution Observations of Nighttime Light With Multi-Modal Remote Sensing DataPoster5 citations
- Designing Behavior-Aware AI to Improve the Human-AI Team Performance in AI-Assisted Decision MakingPoster5 citations
- Detecting AI-Generated Sentences in Human-AI Collaborative Hybrid Texts: Challenges, Strategies, and InsightsPoster5 citations
- Diffutoon: High-Resolution Editable Toon Shading via Diffusion ModelsPoster5 citations
- EVE: Efficient Zero-Shot Text-Based Video Editing With Depth Map Guidance and Temporal Consistency ConstraintsPoster5 citations
- Effective High-order Graph Representation Learning for Credit Card Fraud DetectionPoster5 citations
- Exploiting Conjugate Label Information for Multi-Instance Partial-Label LearningPoster5 citations
- Exploring Learngene via Stage-wise Weight Sharing for Initializing Variable-sized ModelsPoster5 citations
- Fast and Continual Knowledge Graph Embedding via Incremental LoRAPoster5 citations
- FedFa: A Fully Asynchronous Training Paradigm for Federated LearningPoster5 citations
- FedPFT: Federated Proxy Fine-Tuning of Foundation ModelsPoster5 citations
- Hacking Task Confounder in Meta-LearningPoster5 citations
- Label-efficient Semantic Scene Completion with Scribble AnnotationsPoster5 citations
- Learning Label-Specific Multiple Local Metrics for Multi-Label ClassificationPoster5 citations
- Learning Logic Programs by Discovering Higher-Order AbstractionsPoster5 citations
- Look-ahead Search on Top of Policy Networks in Imperfect Information GamesPoster5 citations
- MAS-SAM: Segment Any Marine Animal with Aggregated FeaturesPoster5 citations
- MMGNN: A Molecular Merged Graph Neural Network for Explainable Solvation Free Energy PredictionPoster5 citations
- MMVQA: A Comprehensive Dataset for Investigating Multipage Multimodal Information Retrieval in PDF-based Visual Question AnsweringPoster5 citations
- Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns for Traffic Speed PredictionPoster5 citations
- MuChin: A Chinese Colloquial Description Benchmark for Evaluating Language Models in the Field of MusicPoster5 citations
- Multi-level Disentangling Network for Cross-Subject Emotion Recognition Based on Multimodal Physiological SignalsPoster5 citations
- Parameterized Analysis of Bribery in Challenge the Champ TournamentsPoster5 citations
- Rank and Align: Towards Effective Source-free Graph Domain AdaptationPoster5 citations
- ReBandit: Random Effects Based Online RL Algorithm for Reducing Cannabis UsePoster5 citations
- Recent Advances in Predictive Modeling with Electronic Health RecordsPoster5 citations
- Reframing Spatial Reasoning Evaluation in Language Models: A Real-World Simulation Benchmark for Qualitative ReasoningPoster5 citations
- Robust Losses for Decision-Focused LearningPoster5 citations
- SVD-AE: Simple Autoencoders for Collaborative FilteringPoster5 citations
- Safety Constrained Multi-Agent Reinforcement Learning for Active Voltage ControlPoster5 citations
- Scale and Direction Guided GAN for Inertial Sensor Signal EnhancementPoster5 citations
- Shap-Mix: Shapley Value Guided Mixing for Long-Tailed Skeleton Based Action RecognitionPoster5 citations
- Trusted Multi-view Learning with Label NoisePoster5 citations
- Unified Evidence Enhancement Inference Framework for Fake News DetectionPoster5 citations
- Unified Unsupervised Salient Object Detection via Knowledge TransferPoster5 citations
- Unlearning during Learning: An Efficient Federated Machine Unlearning MethodPoster5 citations
- Welfare Loss in Connected Resource AllocationPoster5 citations
- When Fairness Meets Privacy: Exploring Privacy Threats in Fair Binary Classifiers via Membership Inference AttacksPoster5 citations
- Where Elegance Meets Precision: Towards a Compact, Automatic, and Flexible Framework for Multi-modality Image Fusion and ApplicationsPoster5 citations
- Why Only Text: Empowering Vision-and-Language Navigation with Multi-modal PromptsPoster5 citations
- 3D Vision and Language Pretraining with Large-Scale Synthetic DataPoster4 citations
- A Meta-Game Evaluation Framework for Deep Multiagent Reinforcement LearningPoster4 citations
- A Survey of Multimodal Sarcasm DetectionPoster4 citations
- Automated Essay Scoring: Recent Successes and Future DirectionsPoster4 citations
- Bridge to Non-Barrier Communication: Gloss-Prompted Fine-Grained Cued Speech Gesture Generation with Diffusion ModelPoster4 citations
- Budget Feasible Mechanisms: A SurveyPoster4 citations
- CIC: A Framework for Culturally-Aware Image CaptioningPoster4 citations
- Carbon Market Simulation with Adaptive Mechanism DesignPoster4 citations
- CoCoG: Controllable Visual Stimuli Generation Based on Human Concept RepresentationsPoster4 citations
- Computational Complexity of Verifying the Group No-show ParadoxPoster4 citations
- Contract Scheduling with Distributional and Multiple AdvicePoster4 citations
- Contrastive Learning Drug Response Models from Natural Language SupervisionPoster4 citations
- Contrastive Representation Learning for Self-Supervised Taxonomy CompletionPoster4 citations
- Dual Calibration-based Personalised Federated LearningPoster4 citations
- Dual Semantic Fusion Hashing for Multi-Label Cross-Modal RetrievalPoster4 citations
- Dynamicity-aware Social Bot Detection with Dynamic Graph TransformersPoster4 citations
- EC-SNN: Splitting Deep Spiking Neural Networks for Edge DevicesPoster4 citations
- ESP-PCT: Enhanced VR Semantic Performance through Efficient Compression of Temporal and Spatial Redundancies in Point Cloud TransformersPoster4 citations
- Empirical Analysis of Dialogue Relation Extraction with Large Language ModelsPoster4 citations
- Evaluation of Project Performance in Participatory BudgetingPoster4 citations
- Fair Distribution of Delivery OrdersPoster4 citations
- Federated Prompt Learning for Weather Foundation Models on DevicesPoster4 citations
- FlagVNE: A Flexible and Generalizable Reinforcement Learning Framework for Network Resource AllocationPoster4 citations
- From Pixels to Metal: AI-Empowered Numismatic ArtPoster4 citations
- G2LTraj: A Global-to-Local Generation Approach for Trajectory PredictionPoster4 citations
- Integrating Vision-Language Semantic Graphs in Multi-View ClusteringPoster4 citations
- Joint Multimodal Aspect Sentiment Analysis with Aspect Enhancement and Syntactic Adaptive LearningPoster4 citations
- Kernel Readout for Graph Neural NetworksPoster4 citations
- LEAP: Optimization Hierarchical Federated Learning on Non-IID Data with Coalition Formation GamePoster4 citations
- Large Language Models for Human-AI Co-Creation of Robotic Dance PerformancesPoster4 citations
- Learning Pareto Set for Multi-Objective Continuous Robot ControlPoster4 citations
- Learning Structural Causal Models through Deep Generative Models: Methods, Guarantees, and ChallengesPoster4 citations
- Making LLMs as Fine-Grained Relation Extraction Data AugmentorPoster4 citations
- Mean Aggregator Is More Robust than Robust Aggregators under Label Poisoning AttacksPoster4 citations
- N-Agent Ad Hoc TeamworkPoster4 citations
- Natural Language-centered Inference Network for Multi-modal Fake News DetectionPoster4 citations
- On Mitigating the Utility-Loss in Differentially Private Learning: A New Perspective by a Geometrically Inspired Kernel Approach (Abstract Reprint)Poster4 citations
- One-step Spiking Transformer with a Linear ComplexityPoster4 citations
- Online Combinatorial Optimization with Group Fairness ConstraintsPoster4 citations
- P2P: Transforming from Point Supervision to Explicit Visual Prompt for Object Detection and SegmentationPoster4 citations
- PACIA: Parameter-Efficient Adapter for Few-Shot Molecular Property PredictionPoster4 citations
- Predictive Accuracy-Based Active Learning for Medical Image SegmentationPoster4 citations
- Probabilistically Robust Watermarking of Neural NetworksPoster4 citations
- Proximal Curriculum with Task Correlations for Deep Reinforcement LearningPoster4 citations
- PyXAI: An XAI Library for Tree-Based ModelsPoster4 citations
- Regression Residual Reasoning with Pseudo-labeled Contrastive Learning for Uncovering Multiple Complex Compositional RelationsPoster4 citations
- Scaling Up Unbiased Search-based Symbolic RegressionPoster4 citations
- The Distortion of Threshold Approval MatchingPoster4 citations
- Towards Proactive Interactions for In-Vehicle Conversational Assistants Utilizing Large Language ModelsPoster4 citations
- Trade When Opportunity Comes: Price Movement Forecasting via Locality-Aware Attention and Iterative Refinement LabelingPoster4 citations
- VCformer: Variable Correlation Transformer with Inherent Lagged Correlation for Multivariate Time Series ForecastingPoster4 citations
- Zero-shot High-fidelity and Pose-controllable Character AnimationPoster4 citations
- A Goal-Directed Dialogue System for Assistance in Safety-Critical ApplicationPoster3 citations
- A Grassmannian Manifold Self-Attention Network for Signal ClassificationPoster3 citations
- A Logic for Reasoning about Aggregate-Combine Graph Neural NetworksPoster3 citations
- ADELT: Transpilation between Deep Learning FrameworksPoster3 citations
- An Image-enhanced Molecular Graph Representation Learning FrameworkPoster3 citations
- An LLM-enhanced Agent-based Simulation Tool for Information PropagationPoster3 citations
- BADFSS: Backdoor Attacks on Federated Self-Supervised LearningPoster3 citations
- BATON: Aligning Text-to-Audio Model Using Human Preference FeedbackPoster3 citations
- Boundary-aware Decoupled Flow Networks for Realistic Extreme RescalingPoster3 citations
- Bridging Generative and Discriminative Models for Unified Visual Perception with Diffusion PriorsPoster3 citations
- Bring Metric Functions into Diffusion ModelsPoster3 citations
- ClothPPO: A Proximal Policy Optimization Enhancing Framework for Robotic Cloth Manipulation with Observation-Aligned Action SpacesPoster3 citations
- ConstrainedZero: Chance-Constrained POMDP Planning Using Learned Probabilistic Failure Surrogates and Adaptive Safety ConstraintsPoster3 citations
- Core-Structures-Guided Multi-Modal Classification Neural Architecture SearchPoster3 citations
- Couples Can Be Tractable: New Algorithms and Hardness Results for the Hospitals/Residents Problem with CouplesPoster3 citations
- Cross-Domain Few-Shot Semantic Segmentation via Doubly Matching TransformationPoster3 citations
- DGR: A General Graph Desmoothing Framework for Recommendation via Global and Local PerspectivesPoster3 citations
- Delocate: Detection and Localization for Deepfake Videos with Randomly-Located Tampered TracesPoster3 citations
- Demo: Enhancing Wildlife Acoustic Data Annotation Efficiency through Transfer and Active LearningPoster3 citations
- Denoising Diffusion-Augmented Hybrid Video Anomaly Detection via Reconstructing Noised FramesPoster3 citations
- Dynamically Anchored Prompting for Task-Imbalanced Continual LearningPoster3 citations
- ECR-Chain: Advancing Generative Language Models to Better Emotion-Cause Reasoners through Reasoning ChainsPoster3 citations
- EPIC: Graph Augmentation with Edit Path Interpolation via Learnable CostPoster3 citations
- Enhancing Cooperation through Selective Interaction and Long-term Experiences in Multi-Agent Reinforcement LearningPoster3 citations
- Enhancing Cross-Modal Retrieval via Visual-Textual Prompt HashingPoster3 citations
- Epistemic Logic Programs: Non-Ground and Counting ComplexityPoster3 citations
- Equilibria in Two-Stage Facility Location with Atomic ClientsPoster3 citations
- Estimating before Debiasing: A Bayesian Approach to Detaching Prior Bias in Federated Semi-Supervised LearningPoster3 citations
- Exploiting Multi-Label Correlation in Label Distribution LearningPoster3 citations
- Explore Internal and External Similarity for Single Image Deraining with Graph Neural NetworksPoster3 citations
- Exploring the Role of Node Diversity in Directed Graph Representation LearningPoster3 citations
- Faster Optimal Coalition Structure Generation via Offline Coalition Selection and Graph-Based SearchPoster3 citations
- Fraud Risk Mitigation in Real-Time Payments: A Strategic Agent-Based AnalysisPoster3 citations
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- SaSDim:Self-Adaptive Noise Scaling Diffusion Model for Spatial Time Series ImputationPoster1 citations
- Safeguarding Sustainable Cities: Unsupervised Video Anomaly Detection through Diffusion-based Latent Pattern LearningPoster1 citations
- Sample Quality Heterogeneity-aware Federated Causal Discovery through Adaptive Variable Space SelectionPoster1 citations
- Scalable Landmark Hub Labeling for Optimal and Bounded Suboptimal PathfindingPoster1 citations
- Scalable Ultrafast Almost-optimal Euclidean Shortest PathsPoster1 citations
- Selecting the Most Conflicting Pair of CandidatesPoster1 citations
- Self-Supervised Learning for Enhancing Spatial Awareness in Free-Hand SketchesPoster1 citations
- Sentence-Level or Token-Level? A Comprehensive Study on Knowledge DistillationPoster1 citations
- Span-based Unified Named Entity Recognition Framework via Contrastive LearningPoster1 citations
- Sparse Multi-Relational Graph Convolutional Network for Multi-type Object Trajectory PredictionPoster1 citations
- Structure-Aware Spatial-Temporal Interaction Network for Video Shadow DetectionPoster1 citations
- SwiftThief: Enhancing Query Efficiency of Model Stealing by Contrastive LearningPoster1 citations
- Synthesizing Programmatic Policy for Generalization within Task DomainPoster1 citations
- TSESNet: Temporal-Spatial Enhanced Breast Tumor Segmentation in DCE-MRI Using Feature Perception and SeparabilityPoster1 citations
- Task-Agnostic Self-Distillation for Few-Shot Action RecognitionPoster1 citations
- Temporal Domain Generalization via Learning Instance-level Evolving PatternsPoster1 citations
- The Orthogonality of Weight Vectors: The Key Characteristics of Normalization and Residual ConnectionsPoster1 citations
- Time-Evolving Data Science and Artificial Intelligence for Advanced Open Environmental Science (TAIAO) ProgrammePoster1 citations
- Towards Sharper Generalization Bounds for Adversarial Contrastive LearningPoster1 citations
- Two-stage Semi-supervised Speaker Recognition with Gated Label LearningPoster1 citations
- Unlearning from Weakly Supervised LearningPoster1 citations
- Using Large Language Models and Recruiter Expertise for Optimized Multilingual Job Offer – Applicant CV MatchingPoster1 citations
- VF-Detector: Making Multi-Granularity Code Changes on Vulnerability Fix Detector Robust to Mislabeled ChangesPoster1 citations
- VSGT: Variational Spatial and Gaussian Temporal Graph Models for EEG-based Emotion RecognitionPoster1 citations
- What Is Best for Students, Numerical Scores or Letter Grades?Poster1 citations
- Zeta*-SIPP: Improved Time-Optimal Any-Angle Safe-Interval Path PlanningPoster1 citations
- vMFER: Von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy ImprovementPoster1 citations
- 1DFormer: A Transformer Architecture Learning 1D Landmark Representations for Facial Landmark TrackingPoster
- 3D-FuM: Benchmarking 3D Molecule Learning with Functional GroupsPoster
- A Behavior-Aware Approach for Deep Reinforcement Learning in Non-stationary Environments without Known Change PointsPoster
- A Better Approximation for Bipartite Traveling Tournament in Inter-League Sports SchedulingPoster
- A Conflict-Embedded Narrative Generation Using Commonsense ReasoningPoster
- A Conservative Approach for Few-Shot Transfer in Off-Dynamics Reinforcement LearningPoster
- A Consistency and Integration Model with Adaptive Thresholds for Weakly Supervised Object LocalizationPoster
- A Context-Enhanced Framework for Sequential Graph ReasoningPoster
- A Density-driven Iterative Prototype Optimization for Transductive Few-shot LearningPoster
- A Fast Algorithm for MaxSAT above Half Number of ClausesPoster
- A Framework for Centralized Traffic Routing in Urban AreasPoster
- A Graph-based Representation Framework for Trajectory Recovery via Spatiotemporal Interval-Informed Seq2SeqPoster
- A Little of That Human Touch: Achieving Human-Centric Explainable AI via ArgumentationPoster
- A Multi-Valued Decision Diagram-Based Approach to Constrained Optimal Path Problems over Directed Acyclic GraphsPoster
- A Neural Column Generation Approach to the Vehicle Routing Problem with Two-Dimensional Loading and Last-In-First-Out ConstraintsPoster
- A Novel GAN Approach to Augment Limited Tabular Data for Short-Term Substance Use PredictionPoster
- A Prior-information-guided Residual Diffusion Model for Multi-modal PET Synthesis from MRIPoster
- A SAT Solver + Computer Algebra Attack on the Minimum Kochen–Specker ProblemPoster
- A Self-explaining Neural Architecture for Generalizable Concept LearningPoster
- A Single Vector Is Not Enough: Taxonomy Expansion via Box Embeddings (Extended Abstract)Poster
- A Successful Strategy for Multichannel Iterated Prisoner’s DilemmaPoster
- A Swap Relaxation-Based Local Search for the Latin Square Completion ProblemPoster
- A Teacher Classroom Dress Assessment Method Based on a New Assessment DatasetPoster
- A Transformer-Based Adaptive Prototype Matching Network for Few-Shot Semantic SegmentationPoster
- A differentiable first-order rule learner for inductive logic programming (Abstract Reprint)Poster
- AADMIP: Adversarial Attacks and Defenses Modeling in Industrial ProcessesPoster
- AK4Prompts: Aesthetics-driven Automatically Keywords-Ranking for Prompts in Text-To-Image ModelsPoster
- AMO-aware Aggregates in Answer Set ProgrammingPoster
- AUTODRAITEC: An Infrastructure-Based AUTOnomous DRiving System Using Artificial Intelligence and TEleCommunication TechnologiesPoster
- AVIN-Chat: An Audio-Visual Interactive Chatbot System with Emotional State TuningPoster
- Active Deep Multi-view ClusteringPoster
- Adaptive Order Q-learningPoster
- Advancing Medical Image Segmentation via Self-supervised Instance-adaptive Prototype LearningPoster
- Agentive Permissions in Multiagent SystemsPoster
- Aggregation of Continuous Preferences in One DimensionPoster
- Algorithmic Fairness in Distribution of Resources and TasksPoster
- All in One: Multi-task Prompting for Graph Neural Networks (Extended Abstract)Poster
- Alleviating Imbalanced Pseudo-label Distribution: Self-Supervised Multi-Source Domain Adaptation with Label-specific ConfidencePoster
- An Efficient Prototype-Based Clustering Approach for Edge Pruning in Graph Neural Networks to Battle Over-SmoothingPoster
- An Embarrassingly Simple Approach to Enhance Transformer Performance in Genomic Selection for Crop BreedingPoster
- An Interactive Human-Machine Learning Interface for Collecting and Learning from Complex AnnotationsPoster
- An NCDE-based Framework for Universal Representation Learning of Time SeriesPoster
- Angluin-Style Learning of Deterministic Büchi and Co-Büchi AutomataPoster
- Anomaly Subgraph Detection through High-Order Sampling Contrastive LearningPoster
- Anytime Sorting AlgorithmsPoster
- Are Logistic Models Really Interpretable?Poster
- Artificial Intelligence-Driven Video Indexing for Rapid Surveillance Footage Summarization and ReviewPoster
- Atomic Recovery Property for Multi-view Subspace-Preserving RecoveryPoster
- Automated CPU Design by Learning from Input-Output ExamplesPoster
- Automated Essay Scoring Using Discourse External KnowledgePoster
- Bagging is an Optimal PAC Learner (Extended Abstract)Poster
- Balancing Multimodal Learning via Online Logit ModulationPoster
- Bandits with Concave Aggregated RewardPoster
- Benchmarking Stroke Forecasting with Stroke-Level Badminton DatasetPoster
- Best Arm Identification with Retroactively Increased Sampling Budget for More Resource-Efficient HPOPoster
- BeyondVision: An EMG-driven Micro Hand Gesture Recognition Based on Dynamic SegmentationPoster
- Bio-inspired Dynamic and Decentralized Online Learning in Uninformed Heterogeneous Multi-Agent EnvironmentsPoster
- BlockEcho: Retaining Long-Range Dependencies for Imputing Block-Wise Missing DataPoster
- Boosting Single Positive Multi-label Classification with Generalized Robust LossPoster
- By Fair Means or Foul: Quantifying Collusion in a Market Simulation with Deep Reinforcement LearningPoster
- C3L: Content Correlated Vision-Language Instruction Tuning Data Generation via Contrastive LearningPoster
- CAP: A Context-Aware Neural Predictor for NASPoster
- CMACE: CMAES-based Counterfactual Explanations for Black-box ModelsPoster
- Capturing (Optimal) Relaxed Plans with Stable and Supported Models of Logic Programs (Extended Abstract)Poster
- Capturing Knowledge Graphs and Rules with Octagon EmbeddingsPoster
- Causal Graph Modeling with Deep Neural Engines for Strong Abstract Reasoning in Language and VisionPoster
- Class-Specific Semantic Generation and Reconstruction Learning for Open Set RecognitionPoster
- CoAtFormer: Vision Transformer with Composite AttentionPoster
- Combinatorial Routing for Neural TreesPoster
- Comparing Ways of Obtaining Candidate Orderings from Approval BallotsPoster
- Computational Argumentation: Reasoning, Dynamics, and Supporting ExplainabilityPoster
- Computing Optimal Equilibria in Repeated Games with RestartsPoster
- Conflict-Alleviated Gradient Descent for Adaptive Object DetectionPoster
- Contextualized Speech Recognition: Rethinking Second-Pass Rescoring with Generative Large Language ModelsPoster
- Continual Multi-Objective Reinforcement Learning via Reward Model RehearsalPoster
- Contrastive Transformer Cross-Modal Hashing for Video-Text RetrievalPoster
- Contrastive Transformer Masked Image Hashing for Degraded Image RetrievalPoster
- Contrastive and View-Interaction Structure Learning for Multi-view ClusteringPoster
- Convexity Certificates for Symbolic Tensor ExpressionsPoster
- Cooperation and Fairness in Systems of Indirect ReciprocityPoster
- Cross-Scale Domain Adaptation with Comprehensive Information for PansharpeningPoster
- Cross-View Diversity Embedded Consensus Learning for Multi-View ClusteringPoster
- Culturally-aware Image CaptioningPoster
- Cutting the Black Box: Conceptual Interpretation of a Deep Neural Net with Multi-Modal Embeddings and Multi-Criteria Decision AidPoster
- DFMDA-Net: Dense Fusion and Multi-dimension Aggregation Network for Image RestorationPoster
- DFRP: A Dual-Track Feedback Recommendation System for Educational ResourcesPoster
- DVPE: Divided View Position Embedding for Multi-View 3D Object DetectionPoster
- DWLR: Domain Adaptation under Label Shift for Wearable SensorPoster
- Decoupled Invariant Attention Network for Multivariate Time-series ForecastingPoster
- Deep Embedding Clustering Driven by Sample StabilityPoster
- Deep Learning with Requirements in the Real WorldPoster
- Deep Multi-Dimensional Classification with Pairwise Dimension-Specific FeaturesPoster
- Deep Neural Networks via Complex Network Theory: A PerspectivePoster
- Defending Against Backdoor Attacks by Layer-wise Feature Analysis (Extended Abstract)Poster
- DenseKoopman: A Plug-and-Play Framework for Dense Pedestrian Trajectory PredictionPoster
- Design a Win-Win Strategy That Is Fair to Both Service Providers and Tasks When Rejection Is Not an OptionPoster
- Design of a Data-driven Intervention Dashboard for SDG LocalizationPoster
- Detecting Change Intervalswith Isolation Distributional Kernel (Abstract Reprint)Poster
- Determining Winners in Elections with Absent VotesPoster
- Dialogue Cross-Enhanced Central Engagement Attention Model for Real-Time Engagement EstimationPoster
- Digital Avatars: Framework Development and Their EvaluationPoster
- Discriminative Feature Decoupling Enhancement for Speech Forgery DetectionPoster
- Disentangling Domain and General Representations for Time Series ClassificationPoster
- Diversification of Adaptive Policy for Effective Offline Reinforcement LearningPoster
- Do You Remember the Future? Weak-to-Strong Generalization in 3D Object DetectionPoster
- Drug Overdose Vital-Signs Evaluator Using Machine LearningPoster
- Dual Enhancement in ODI Super-Resolution: Adapting Convolution and Upsampling to Projection DistortionPoster
- Dynamic against Dynamic: An Open-Set Self-Learning FrameworkPoster
- EAB-FL: Exacerbating Algorithmic Bias through Model Poisoning Attacks in Federated LearningPoster
- EFEVD: Enhanced Feature Extraction for Smart Contract Vulnerability DetectionPoster
- Effective Approach to LTLf Best-Effort Synthesis in Multi-Tier EnvironmentsPoster
- Efficiency Calibration of Implicit Regularization in Deep Networks via Self-paced Curriculum-Driven Singular Value SelectionPoster
- Efficient Cost-Minimization Schemes for Electrical Energy Demand Satisfaction by Prosumers in Microgrids with Battery Storage CapabilitiesPoster
- Efficient Screen Content Image Compression via Superpixel-based Content Aggregation and Dynamic Feature FusionPoster
- Eliminating the Cross-Domain Misalignment in Text-guided Image InpaintingPoster
- Enabling Mixed Effects Neural Networks for Diverse, Clustered Data Using Monte Carlo MethodsPoster
- Enabling Sustainable Freight Forwarding Network via Collaborative GamesPoster
- Encoding Auxiliary Information to Restore Compressed Point Cloud GeometryPoster
- End-to-End Real-World Polyphonic Piano Audio-to-Score Transcription with Hierarchical DecodingPoster
- Endogenous Energy Reactive Modules Games: Modelling Side Payments among Resource-Bounded AgentsPoster
- Enhanced DouDiZhu Card Game Strategy Using Oracle Guiding and Adaptive Deep Monte Carlo MethodPoster
- Enhancing Fine-Grained Urban Flow Inference via Incremental Neural OperatorPoster
- Enhancing Policy Gradient Algorithms with Search in Imperfect Information GamesPoster
- Error-aware Sampling in Adaptive Shells for Neural Surface ReconstructionPoster
- Exactly Solving Minimum Dominating Set and Its GeneralizationPoster
- Expanding the Reach of Social Choice TheoryPoster
- Expected Work Search: Combining Win Rate and Proof Size EstimationPoster
- Exploring Urban Semantics: A Multimodal Model for POI Semantic Annotation with Street View Images and Place NamesPoster
- Exploring the Inefficiency of Heavy Ball as Momentum Parameter Approaches 1Poster
- Exterior Penalty Policy Optimization with Penalty Metric Network under ConstraintsPoster
- FD-UAD: Unsupervised Anomaly Detection Platform Based on Defect Autonomous Imaging and EnhancementPoster
- Fairness and Optimization in Dynamic Multiagent Allocation ProblemsPoster
- FasterVD: On Acceleration of Video Diffusion ModelsPoster
- Feedback-Based Adaptive Crossover-Rate in Evolutionary ComputationPoster
- Finite Groundings for ASP with Functions: A Journey through ConsistencyPoster
- Finite-Time Convergence Rates of Decentralized Local Markovian Stochastic ApproximationPoster
- First-Order Progression beyond Local-Effect and Normal ActionsPoster
- Fitness Activity Recognition Using a Novel Pressure Sensing Mat and Machine Learning for the Future of Accessible TrainingPoster
- Formal Argumentation in Symbolic AIPoster
- Formal Verification of Parameterised Neural-symbolic Multi-agent SystemsPoster
- Fostering Collective Action in Complex Societies Using Community-Based AgentsPoster
- From 2D to 3D: AISG-SLA Visual Localization ChallengePoster
- From Pink and Blue to a Rainbow Hue! Defying Gender Bias through Gender Neutralizing Text TransformationsPoster
- From Pixels to Progress: Generating Road Network from Satellite Imagery for Socioeconomic Insights in Impoverished AreasPoster
- Fusion from a Distributional Perspective: A Unified Symbiotic Diffusion Framework for Any Multisource Remote Sensing Data ClassificationPoster
- General Epistemic Abstract Argumentation Framework: Semantics and ComplexityPoster
- Generalized Taxonomy-Guided Graph Neural NetworksPoster
- Generating More Audios for End-to-End Spoken Language UnderstandingPoster
- GigaPevt: Multimodal Medical AssistantPoster
- GladCoder: Stylized QR Code Generation with Grayscale-Aware Denoising ProcessPoster
- HVOFusion: Incremental Mesh Reconstruction Using Hybrid Voxel OctreePoster
- Hard-Thresholding Meets Evolution Strategies in Reinforcement LearningPoster
- Hierarchical Decompositions and Termination Analysis for Generalized Planning (Abstract Reprint)Poster
- Hierarchical Reinforcement Learning for Point of Interest RecommendationPoster
- Higher-Order Argumentation Frameworks: Principles and Gradual SemanticsPoster
- How Hard Is It to Impact the Impact of Your Paper?Poster
- Hybrid planning for challenging construction problems: An Answer Set Programming approach (Abstract Reprint)Poster
- Image Retrieval with Self-Supervised Divergence Minimization and Cross-Attention ClassificationPoster
- Implicit Anomaly Subgraph Detection (IASD) in Multi-Domain Attribute NetworksPoster
- Improved Approximation of Weighted MMS Fairness for Indivisible ChoresPoster
- Improved Encodings of Acyclicity for Translating Answer Set Programming into Integer ProgrammingPoster
- Improved Parallel Algorithm for Non-Monotone Submodular Maximization under Knapsack ConstraintPoster
- InViTe: Individual Virtual Transfer for Personalized 3D Face Generation SystemPoster
- Incorporating Schema-Aware Description into Document-Level Event ExtractionPoster
- Individual Causal Structure Learning from Population DataPoster
- Individual Fairness under Group Fairness Constraints in Bipartite Matching - One Framework to Approximate Them AllPoster
- Inferring Iterated Function Systems Approximately from Fractal ImagesPoster
- Inferring Ontological Categories of OWL Classes Using Foundational Rules (Extended Abstract)Poster
- Innovative Directional Encoding in Speech Processing: Leveraging Spherical Harmonics Injection for Multi-Channel Speech EnhancementPoster
- Inside Out: Emotional Multiagent Multimodal Dialogue SystemsPoster
- InstructME: An Instruction Guided Music Edit Framework with Latent Diffusion ModelsPoster
- IntEr-HRI Competition: Intrinsic Error Evaluation during Human - Robot InteractionPoster
- Intention Progression with Temporally Extended GoalsPoster
- Interactive Visual Learning for Stable DiffusionPoster
- Justifying Argument Acceptance with Collective Attacks: Discussions and DisputesPoster
- KTCN: Enhancing Open-World Object Detection with Knowledge Transfer and Class-Awareness NeutralizationPoster
- Knowledge Compilation for Incremental and Checkable Stochastic Boolean SatisfiabilityPoster
- LSPAN: Spectrally Localized Augmentation for Graph Consistency LearningPoster
- Langshaw: Declarative Interaction Protocols Based on Sayso and ConflictPoster
- Layered Graph Security GamesPoster
- Learning Conditional Preference Networks: An Approach Based on the Minimum Description Length PrinciplePoster
- Learning Embeddings for Sequential Tasks Using Population of AgentsPoster
- Learning Hierarchy-Enhanced POI Category Representations Using Disentangled Mobility SequencesPoster
- Learning Label Dependencies for Visual Information ExtractionPoster
- Learning Low-Rank Tensor Cores with Probabilistic ℓ0-Regularized Rank Selection for Model CompressionPoster
- Learning to Resolve Social Dilemmas: A Survey (Abstract Reprint)Poster
- Learning with Posterior Sampling for Revenue Management under Time-varying DemandPoster
- Learning-Based Tracking-before-Detect for RF-Based Unconstrained Indoor Human TrackingPoster
- Linear-Time Optimal Deadlock Detection for Efficient Scheduling in Multi-Track Railway NetworksPoster
- Long-term Detection and Monitory of Chinese Urban Village Using Satellite ImageryPoster
- M2RL: A Multi-player Multi-agent Reinforcement Learning Framework for Complex GamesPoster
- MOSER: Learning Sensory Policy for Task-specific Viewpoint via View-conditional World ModelPoster
- MPGraf: a Modular and Pre-trained Graphformer for Learning to Rank at Web-scale (Extended Abstract)Poster
- Mahjong AI Competition: Exploring AI Application in Complex Real-World GamesPoster
- Mechanisms That Play a Game, Not Toss a CoinPoster
- Meta-Learning via PAC-Bayesian with Data-Dependent Prior: Generalization Bounds from Local EntropyPoster
- MetaISP: Efficient RAW-to-sRGB Mappings with Merely 1M ParametersPoster
- Methods for recovering conditional independence graphs (Abstract Reprint)Poster
- Mitigating robust overfitting via self-residual-calibration regularization (Abstract Reprint)Poster
- Modeling Selective Feature Attention for Lightweight Text MatchingPoster
- Motion-Aware Heatmap Regression for Human Pose Estimation in VideosPoster
- Multi-Granularity Graph-Convolution-Based Method for Weakly Supervised Person SearchPoster
- Multi-scale Context-Aware Networks Based on Fragment Association for Human Activity RecognitionPoster
- NEGOTIATOR: A Comprehensive Framework for Human-Agent Negotiation Integrating Preferences, Interaction, and EmotionPoster
- Navigating Continual Test-time Adaptation with Symbiosis KnowledgePoster
- Negative Human Rights as a Basis for Long-term AI Safety and Regulation (Abstract Reprint)Poster
- Negative-Binomial Randomized Gamma Dynamical Systems for Heterogeneous Overdispersed Count Time SequencesPoster
- NegoLog: An Integrated Python-based Automated Negotiation Framework with Enhanced Assessment ComponentsPoster
- No Regularization Is Needed: Efficient and Effective Incomplete Label Distribution LearningPoster
- Nonparametric Detection of Gerrymandering in Multiparty Plurality ElectionsPoster
- Normative Testimony and Belief Functions: A Formal Theory of Norm LearningPoster
- OD-DETR: Online Distillation for Stabilizing Training of Detection TransformerPoster
- OTOcc: Optimal Transport for Occupancy PredictionPoster
- Off-Agent Trust Region Policy OptimizationPoster
- Offline Policy Learning via Skill-step Abstraction for Long-horizon Goal-Conditioned TasksPoster
- On the Complexity of Finding Set Repairs for Data-Graphs (Abstract Reprint)Poster
- On the Logic of Theory Change Iteration of KM-Update, RevisedPoster
- Online Learning of Capacity-Based Preference ModelsPoster
- Online Learning with Off-Policy Feedback in Adversarial MDPsPoster
- Optimal Auction Design with User Coupons in Advertising SystemsPoster
- Optimal Extended Formulations from Optimal Dynamic Programming AlgorithmsPoster
- Optimality Guarantees for Particle Belief Approximation of POMDPs (Abstract Reprint)Poster
- Optimization Under Epistemic Uncertainty Using PredictionPoster
- Optimizing Prosumer Policies in Periodic Double Auctions Inspired by Equilibrium AnalysisPoster
- PEACH: Pretrained-Embedding Explanation across Contextual and Hierarchical StructurePoster
- PHSIC against Random Consistency and Its Application in Causal InferencePoster
- POWL: Partially Ordered Workflow Language (Extended Abstract)Poster
- ParaILP: A Parallel Local Search Framework for Integer Linear Programming with Cooperative Evolution MechanismPoster
- Parameterized Complexity of Kidney Exchange RevisitedPoster
- Pareto Inverse Reinforcement Learning for Diverse Expert Policy GenerationPoster
- Perception-Inspired Graph Convolution for Music Understanding TasksPoster
- Performative Ethics From Within the Ivory Tower: How CSPractitioners Uphold Systems of Oppression (Abstract Reprint)Poster
- Physics-Informed Neural Networks: Minimizing Residual Loss with Wide Networks and Effective ActivationsPoster
- Planning for Temporally Extended Goals in Pure-Past Linear Temporal Logic (Extended Abstract)Poster
- Plug-and-Play Unsupervised Fault Detection and Diagnosis for Complex Industrial MonitoringPoster
- Pluggable Watermarking of Deepfake Models for Deepfake DetectionPoster
- PoRank: A Practical Framework for Learning to Rank PoliciesPoster
- Practical Anytime Algorithms for Judicious Partitioning of Active Directory Attack GraphsPoster
- Pre-training General User Representation with Multi-type APP BehaviorsPoster
- Predicting Carpark Availability in Singapore with Cross-Domain Data: A New Dataset and A Data-Driven ApproachPoster
- Predicting Housing Transaction with Common Covariance GNNsPoster
- PrivSGP-VR: Differentially Private Variance-Reduced Stochastic Gradient Push with Tight Utility BoundsPoster
- Privacy-Preserving UCB Decision Process Verification via zk-SNARKsPoster
- Proof Logging for Smart Extensional Constraints (Extended Abstract)Poster
- Proportion-based Sensitivity Analysis of Uncontrolled Confounding Bias in Causal InferencePoster
- Protecting Split Learning by Potential Energy LossPoster
- Provable Acceleration of Nesterov’s Accelerated Gradient Method over Heavy Ball Method in Training Over-Parameterized Neural NetworksPoster
- Public Event Scheduling with Busy AgentsPoster
- Purpose Enhanced Reasoning through Iterative Prompting: Uncover Latent Robustness of ChatGPT on Code ComprehensionPoster
- R2V-MIF: Rule-to-Vector Contrastive Learning and Multi-channel Information Fusion for Therapy RecommendationPoster
- REAVER: Real-time Earthquake Prediction with Attention-based Sliding-Window SpectrogramsPoster
- RLOP: A Framework for Reinforcement Learning, Optimization and Planning AlgorithmsPoster
- Real-time Multi-modal Object Detection and Tracking on Edge for Regulatory Compliance MonitoringPoster
- Reconfigurability-Aware Selection for Contrastive Active Domain AdaptationPoster
- Reconstruction Weighting Principal Component Analysis with Fusion Contrastive LearningPoster
- ReinforceNS: Reinforcement Learning-based Multi-start Neighborhood Search for Solving the Traveling Thief ProblemPoster
- Rethinking Correlation Learning via Label Prior for Open Set Domain AdaptationPoster
- Revealing Hierarchical Structure of Leaf Venations in Plant Science via Label-Efficient Segmentation: Dataset and MethodPoster
- Revising Beliefs and Intentions in Stochastic EnvironmentsPoster
- Rhythm Inference Helping Writing Music ScoresPoster
- Robust Heterophilic Graph Learning against Label Noise for Anomaly DetectionPoster
- SCAT: A Time Series Forecasting with Spectral Central Alternating TransformersPoster
- SCTrans: Multi-scale scRNA-seq Sub-vector Completion Transformer for Gene-selective Cell Type AnnotationPoster
- SGDCL: Semantic-Guided Dynamic Correlation Learning for Explainable Autonomous DrivingPoster
- SPARK: Harnessing Human-Centered Workflows with Biomedical Foundation Models for Drug DiscoveryPoster
- SPGNet: A Shape-prior Guided Network for Medical Image SegmentationPoster
- STAR: Spatio-Temporal State Compression for Multi-Agent Tasks with Rich ObservationsPoster
- SUKHSANDESH: An Avatar Therapeutic Question Answering Platform for Sexual Education in Rural IndiaPoster
- Sampling Winners in Ranked Choice VotingPoster
- SceneDiff: Generative Scene-Level Image Retrieval with Text and Sketch Using Diffusion ModelsPoster
- Seed Selection in the Heterogeneous Moran ProcessPoster
- Selective Learning for Sample-Efficient Training in Multi-Agent Sparse Reward Tasks (Extended Abstract)Poster
- Self-Promoted Clustering-based Contrastive Learning for Brain Networks PretrainingPoster
- Self-Supervised Vision for Climate DownscalingPoster
- Self-adaptive Extreme Penalized Loss for Imbalanced Time Series PredictionPoster
- Self-supervised Weighted Information Bottleneck for Multi-view ClusteringPoster
- SemanticMask: A Contrastive View Design for Anomaly Detection in Tabular DataPoster
- Semantics for Non-Flat Assumption-Based Argumentation, RevisitedPoster
- SensorSCAN: Self-supervised learning and deep clustering for fault diagnosis in chemical processes (Abstract Reprint)Poster
- Shadow-Free Membership Inference Attacks: Recommender Systems Are More Vulnerable Than You ThoughtPoster
- SmartTransit.AI: A Dynamic Paratransit and Microtransit ApplicationPoster
- Social Learning through Interactions with Other Agents: A SurveyPoster
- Solving Quantified Boolean Formulas with Few Existential VariablesPoster
- Spear: Evaluate the Adversarial Robustness of Compressed Neural ModelsPoster
- SpecAR-Net: Spectrogram Analysis and Representation Network for Time SeriesPoster
- Speech-Forensics: Towards Comprehensive Synthetic Speech Dataset Establishment and AnalysisPoster
- Stochastic Neural Simulator for Generalizing Dynamical Systems across EnvironmentsPoster
- Streamflow Prediction with Uncertainty Quantification for Water Management: A Constrained Reasoning and Learning ApproachPoster
- Streamlining Input/Output Logics with Sequent Calculi (Extended Abstract)Poster
- Structure-Preserving Physics-Informed Neural Networks with Energy or Lyapunov StructurePoster
- Symplectic Neural Gaussian Processes for Meta-learning Hamiltonian DynamicsPoster
- TFLOP: Table Structure Recognition Framework with Layout Pointer MechanismPoster
- Tackling Stackelberg Network Interdiction against a Boundedly Rational AdversaryPoster
- Temporal Knowledge Graph Extrapolation via Causal Subhistory IdentificationPoster
- The Impact of Features Used by Algorithms on Perceptions of FairnessPoster
- The Information Retrieval Experiment Platform (Extended Abstract)Poster
- The Role of Perception, Acceptance, and Cognition in the Usefulness of Robot ExplanationsPoster
IJCAI accepted papers in other years
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