AAAI 2025 Accepted Papers
The full list of 3,478 papers accepted at AAAI 2025 (Association for the Advancement of Artificial Intelligence Annual 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.
Technical: 3,478
- Fine-Tuning Language Models with Collaborative and Semantic ExpertsTechnical
- Fine-grained Adaptive Visual Prompt for Generative Medical Visual Question AnsweringTechnical
- First Line of Defense: A Robust First Layer Mitigates Adversarial AttacksTechnical
- First-Order AutomataTechnical
- First-Order Federated Bilevel LearningTechnical
- FlexDataset: Crafting Annotated Dataset Generation for Diverse ApplicationsTechnical
- FlexPose: Pose Distribution Adaptation with Limited GuidanceTechnical
- FlexiTex: Enhancing Texture Generation via Visual GuidanceTechnical
- Flexible Sharpness-Aware Personalized Federated LearningTechnical
- FloNa: Floor Plan Guided Embodied Visual NavigationTechnical
- Flow Factorization for Efficient Generative Flow NetworksTechnical
- FoMo: Multi-Modal, Multi-Scale and Multi-Task Remote Sensing Foundation Models for Forest MonitoringTechnical
- Focus on Local: Finding Reliable Discriminative Regions for Visual Place RecognitionTechnical
- Formal Synthesis of Barrier Certificates Using Fourier Kolmogorov-Arnold NetworkTechnical
- Foundation Model Driven Appearance Extraction for Robust Multiple Object TrackingTechnical
- Foundations of Multi-Agent Learning in Dynamic Environments: Where Reinforcement Learning Meets Strategic Decision-MakingTechnical
- Fourier Guided Adaptive Adversarial Augmentation for Generalization in Visual Reinforcement LearningTechnical
- Free Lunch in the Forest: Functionally-Identical Pruning of Boosted Tree EnsemblesTechnical
- Free-Moving Object Reconstruction and Pose Estimation with Virtual CameraTechnical
- FreeCap: Hybrid Calibration-Free Motion Capture in Open EnvironmentsTechnical
- FreeGen: Bridging Visual-Linguistic Discrepancies Towards Diffusion-based Pixel-level Data SynthesisTechnical
- FreeMask: Rethinking the Importance of Attention Masks for Zero-Shot Video EditingTechnical
- FreeNet: Liberating Depth-Wise Separable Operations for Building Faster Mobile Vision ArchitecturesTechnical
- FreqTS: Frequency-Aware Token Selection for Accelerating Diffusion ModelsTechnical
- Frequency-Aware Density Control via Reparameterization for High-Quality Rendering of 3D Gaussian SplattingTechnical
- Frequency-Masked Embedding Inference: A Non-Contrastive Approach for Time Series Representation LearningTechnical
- Friends-MMC: A Dataset for Multi-modal Multi-party Conversation UnderstandingTechnical
- From Coarse to Fine: A Matching and Alignment Framework for Unsupervised Cross-View Geo-LocalizationTechnical
- From Complexity to Clarity: Transforming Chest X-ray Reports with Chained Prompting (Student Abstract)Technical
- From Crayons to Code: AI-Driven Insights into a Child’s Mental Health Through DrawingsTechnical
- From Gambits to Assurances: Game-Theoretic Integration of Safety and Learning for Interactive RoboticsTechnical
- From Large Language Models to Large Action Models: Reasoning and Planning with Physical World KnowledgeTechnical
- From Representation Space to Prognostic Insights: Whole Slide Image Generation with Hierarchical Diffusion Model for Survival PredictionTechnical
- From Understanding Genetic Drift to a Smart-Restart Mechanism for Estimation-of-Distribution Algorithms (Journal Track)Technical
- From Your Block to Our Block: How to Find Shared Structure Between Stochastic Block Models over Multiple GraphsTechnical
- Frozen Language Models Are Gradient Coherence Rectifiers in Vision TransformersTechnical
- Fully-Scalable Massively Parallel Algorithm for k-center with OutliersTechnical
- FunEditor: Achieving Complex Image Edits via Function Aggregation with Diffusion ModelsTechnical
- Functional Connectomes of Neural NetworksTechnical
- Future Sight and Tough Fights: Revolutionizing Sequential Recommendation with FENRecTechnical
- Fuzzy Collaborative ReasoningTechnical
- G2LDetect: A Global-to-Local Approach for Hallucination DetectionTechnical
- GARLIC: GPT-Augmented Reinforcement Learning with Intelligent Control for Vehicle DispatchingTechnical
- GAS: Generative Activation-Aided Asynchronous Split Federated LearningTechnical
- GBRIP: Granular Ball Representation for Imbalanced Partial Label LearningTechnical
- GCD-Sampling: A General Cross-scale Decoupled Sampling for Point CloudTechnical
- GCD: Advancing Vision-Language Models for Incremental Object Detection via Global Alignment and Correspondence DistillationTechnical
- GCF: Estimating Unobserved Demand Using Graph Causal ForecastingTechnical
- GDiffRetro: Retrosynthesis Prediction with Dual Graph Enhanced Molecular Representation and Diffusion GenerationTechnical
- GENTEEL-NEGOTIATOR: LLM-Enhanced Mixture-of-Expert-Based Reinforcement Learning Approach for Polite Negotiation DialogueTechnical
- GEONet: Global Enhancement and Optimization Network for Lane DetectionTechnical
- GHOST: Gaussian Hypothesis Open-Set TechniqueTechnical
- GIST: Gear Type Identification by Spatiotemporal Trajectory Transformation for Monitoring FisheriesTechnical
- GLAM: Global-Local Variation Awareness in Mamba-based World ModelTechnical
- GLCF: A Global-Local Multimodal Coherence Analysis Framework for Talking Face Generation DetectionTechnical
- GLEN: Generalized Focal Loss Ensemble of Low-Rank Networks for Calibrated Visual Question AnsweringTechnical
- GLIC: General Format Learned Image CompressionTechnical
- GMAP: Generalized Manipulation of Articulated Objects in Robotic Using Pre-trained ModelTechnical
- GNN-Transformer Cooperative Architecture for Trustworthy Graph Contrastive LearningTechnical
- GNN-Transformer Task Planning Enhanced with Semantic-Driven Data AugmentationTechnical
- GNS: Solving Plane Geometry Problems by Neural-Symbolic Reasoning with Multi-Modal LLMsTechnical
- GODDS: The Global Online Deepfake Detection SystemTechnical
- GPU-Accelerated Parallel Bilevel Optimization for Roubst 6G ISACTechnical
- GRAIN: Multi-Granular and Implicit Information Aggregation Graph Neural Network for Heterophilous GraphsTechnical
- GRICP: Granular-Ball Iterative Closest Point with Multikernel Correntropy for Point Cloud Fine RegistrationTechnical
- GRSN: Gated Recurrent Spiking Neurons for POMDPs and MARLTechnical
- GSDiff: Synthesizing Vector Floorplans via Geometry-enhanced Structural Graph GenerationTechnical
- GTDE: Grouped Training with Decentralized Execution for Multi-agent Actor-CriticTechnical
- GTG: Generalizable Trajectory Generation Model for Urban MobilityTechnical
- GURecon: Learning Detailed 3D Geometric Uncertainties for Neural Surface ReconstructionTechnical
- GaitCycFormer: Leveraging Gait Cycles and Transformers for Gait Emotion Recognition.Technical
- GapMatch: Bridging Instance and Model Perturbations for Enhanced Semi-Supervised Medical Image SegmentationTechnical
- GarFast: Realistic and Fast Garment Transfer with a Simplified Parser-Free ApproachTechnical
- GaraMoSt: Parallel Multi-Granularity Motion and Structural Modeling for Efficient Multi-Frame Interpolation in DSA ImagesTechnical
- Gaussian Graphical Modelling Without Independence Assumptions for Uncentered DataTechnical
- GaussianPainter: Painting Point Cloud into 3D Gaussians with Normal GuidanceTechnical
- GeCC: Generalized Contrastive Clustering with Domain Shifts ModelingTechnical
- GenAL: Generative Agent for Adaptive LearningTechnical
- GenAuction: A Generative Auction for Online AdvertisingTechnical
- GenHMR: Generative Human Mesh RecoveryTechnical
- GenPlan: Generative Sequence Models as Adaptive PlannersTechnical
- General Uncertainty Estimation with Delta VariancesTechnical
- Generalizable Sensor-Based Activity Recognition via Categorical Concept Invariant LearningTechnical
- Generalization Analysis for Deep Contrastive Representation LearningTechnical
- Generalized Class Discovery in Instance SegmentationTechnical
- Generalized Convergence Analysis of Tsetlin Automaton Based Algorithms: A Probabilistic Approach to Concept LearningTechnical
- Generalized Debiased Semi-Supervised Hashing for Large-Scale Image RetrievalTechnical
- Generalized Implicit Neural Representations for Dynamic Molecular Surface ModelingTechnical
- Generalized Zero-Shot Learning for Point Cloud Segmentation with Evidence-Based Dynamic CalibrationTechnical
- Generalizing Constraint Models in Constraint AcquisitionTechnical
- Generating Counterfactual Explanations Under Temporal ConstraintsTechnical
- Generating Synthetic Data for Unsupervised Federated Learning of Cross-Modal RetrievalTechnical
- Generating Traffic Scenarios via In-Context Learning to Learn Better Motion PlannerTechnical
- Generative Flow Networks for Lead Optimization in Drug Design (Student Abstract)Technical
- Generative Video Diffusion for Unseen Novel Semantic Video Moment RetrievalTechnical
- Genomics Data Lossless Compression with (S, K)-Mer Encoding and Deep Neural NetworksTechnical
- GeoAggregator: An Efficient Transformer Model for Geo-Spatial Tabular DataTechnical
- GeoMamba: Towards Multi-granular POI Recommendation with Geographical State Space ModelTechnical
- GeoPro-Net: Learning Interpretable Spatiotemporal Prediction Models Through Statistically-Guided Geo-PrototypingTechnical
- Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular DatasetTechnical
- Geometry-Aware 3D Salient Object Detection NetworkTechnical
- Germane Conflicts: Desirable Properties for Localising InconsistencyTechnical
- Ghidorah: Towards Robust Multi-Scale Information Diffusion Prediction via Test-Time TrainingTechnical
- GigaGS: 3D Gaussian Based Planar Representation for Large-Scene Surface ReconstructionTechnical
- Giving Cars Eyes: Using Computer Vision to Prevent Road Traffic Accidents in NigeriaTechnical
- Global Attribute-Association Pattern Aggregation for Graph Fraud DetectionTechnical
- Global Graph Propagation with Hierarchical Information Transfer for Incomplete Contrastive Multi-view ClusteringTechnical
- Global-Semantic Alignment Distillation for Partial Multi-view ClassificationTechnical
- GlyphSR: A Simple Glyph-Aware Framework for Scene Text Image Super-ResolutionTechnical
- GoBERT: Gene Ontology Graph Informed BERT for Universal Gene Function PredictionTechnical
- GoHD: Gaze-oriented and Highly Disentangled Portrait Animation with Rhythmic Poses and Realistic ExpressionsTechnical
- Goal-Driven Reasoning in DatalogMTL with Magic SetsTechnical
- GradQ-ViT: Robust and Efficient Gradient Quantization for Vision TransformersTechnical
- Gradient-Based Nonlinear Rehearsal Learning with Multivariate AlterationsTechnical
- Gradient-Based Sample Selection for Black-Box Universal Domain AdaptationTechnical
- Gradient-Guided Credit Assignment and Joint Optimization for Dependency-Aware Spatial CrowdsourcingTechnical
- Granularity-Adaptive Spatial Evidence Tokenization for Video Question AnsweringTechnical
- Graph Agent Network: Empowering Nodes with Inference Capabilities for Adversarial ResilienceTechnical
- Graph Consistency and Diversity Measurement for Federated Multi-View ClusteringTechnical
- Graph Contrastive Learning with Joint Spectral Augmentation of Attribute and TopologyTechnical
- Graph Segmentation and Contrastive Enhanced Explainer for Graph Neural NetworksTechnical
- Graph Structure Learning for Spatial-Temporal Imputation: Adapting to Node and Feature ScalesTechnical
- Graph Structure Refinement with Energy-based Contrastive LearningTechnical
- GraphMoRE: Mitigating Topological Heterogeneity via Mixture of Riemannian ExpertsTechnical
- Grimm: A Plug-and-Play Perturbation Rectifier for Graph Neural Networks Defending Against Poisoning AttacksTechnical
- Guaranteeing Out-Of-Distribution Detection in Deep RL via Transition EstimationTechnical
- GuideNER: Annotation Guidelines Are Better than Examples for In-Context Named Entity RecognitionTechnical
- Guided and Variance-Corrected Fusion with One-shot Style Alignment for Large-Content Image GenerationTechnical
- HDLayout: Hierarchical and Directional Layout Planning for Arbitrary Shaped Visual Text GenerationTechnical
- HEP-NAS: Towards Efficient Few-shot Neural Architecture Search via Hierarchical Edge PartitioningTechnical
- HEROS-GAN: Honed-Energy Regularized and Optimal Supervised GAN for Enhancing Accuracy and Range of Low-Cost AccelerometersTechnical
- HFF-Tracker: A Hierarchical Fine-grained Fusion Tracker for Referring Multi-Object TrackingTechnical
- HHAN: Comprehensive Infectious Disease Source Tracing via Heterogeneous Hypergraph Neural NetworkTechnical
- HI-DR: Exploiting Health Status-Aware Attention and an EHR Graph+ for Effective Medication RecommendationTechnical
- HLMEA: Unsupervised Entity Alignment Based on Hybrid Language ModelsTechnical
- HOGSA: Bimanual Hand-Object Interaction Understanding with 3D Gaussian Splatting Based Data AugmentationTechnical
- HOIMamba: Efficient Mamba-based Disentangled Progressive Learning for HOI DetectionTechnical
- HSOD-BIT-V2: A Challenging Benchmark for Hyperspectral Salient Object DetectionTechnical
- HSRDiff: A Hierarchical Self-Regulation Diffusion Model for Stochastic Semantic SegmentationTechnical
- HUANG: A Robust Diffusion Model-based Targeted Adversarial Attack Against Deep Hashing RetrievalTechnical
- HVAdam: A Full-Dimension Adaptive OptimizerTechnical
- HVDualformer: Histogram-Vision Dual Transformer for White BalanceTechnical
- HYBOOD: A Hybrid Generative Model for Out-of-Distribution Detection with Corruption EstimationTechnical
- HaCore: Efficient Coreset Construction with Locality Sensitive Hashing for Vertical Federated LearningTechnical
- Harmonious Music-driven Group Choreography with Trajectory-Controllable DiffusionTechnical
- Harnessing Event Sensory Data for Error Pattern Prediction in Vehicles: A Language Model ApproachTechnical
- Harnessing Language Model for Cross-Heterogeneity Graph Knowledge TransferTechnical
- Harnessing Robust Statistics for Trustworthy AITechnical
- Hateful Meme Detection through Context-Sensitive Prompting and Fine-Grained Labeling (Student Abstract)Technical
- HePa: Heterogeneous Graph Prompting for All-Level Classification TasksTechnical
- Hedging and Approximate Truthfulness in Traditional Forecasting CompetitionsTechnical
- HeterGP: Bridging Heterogeneity in Graph Neural Networks with Multi-View PromptingTechnical
- Heterogeneous Graph Neural Network on Semantic TreeTechnical
- Heterogeneous Multi-Agent Bandits with Parsimonious HintsTechnical
- Heterogeneous Multi-Robot Graph Coverage with Proximity and Movement ConstraintsTechnical
- Heterogeneous Prompt-Guided Entity Inferring and Distilling for Scene-Text Aware Cross-Modal RetrievalTechnical
- Heuristic-free Knowledge Distillation for Streaming ASR via Multi-modal TrainingTechnical
- HiGDA: Hierarchical Graph of Nodes to Learn Local-to-Global Topology for Semi-Supervised Domain AdaptationTechnical
- HiPoser: 3D Human Pose Estimation with Hierarchical Shared Learning at Parts-Level Using Inertial Measurement UnitsTechnical
- Hide Exposures by Removing Mastermind’s External Sources on Social Network (Student Abstract)Technical
- HieraFashDiff: Hierarchical Fashion Design with Multi-stage Diffusion ModelsTechnical
- Hierarchical Consensus Network for Multiview Feature LearningTechnical
- Hierarchical Cross-Modal Alignment for Open-Vocabulary 3D Object DetectionTechnical
- Hierarchical Divide-and-Conquer for Fine-Grained Alignment in LLM-Based Medical EvaluationTechnical
- Hierarchical Gradient-Based Genetic Sampling for Accurate Prediction of Biological OscillationsTechnical
- Hierarchical Mixture of Experts: Generalizable Learning for High-Level SynthesisTechnical
- Hierarchical Multi-Agent Framework for Carbon-Efficient Liquid-Cooled Data Center ClustersTechnical
- Hierarchical Multi-Source Uncertainty Aggregation for Interactive Video CaptioningTechnical
- Hierarchical Vector Quantization for Unsupervised Action SegmentationTechnical
- Hierarchically-Structured Open-Vocabulary Indoor Scene Synthesis with Pre-trained Large Language ModelTechnical
- High School Course Scheduling: Student Preferences and Fairness Constraints (Student Abstract)Technical
- High-Fidelity Polarimetric Implicit 3D Reconstruction with View-Dependent Physical RepresentationTechnical
- High-Resolution Frame Interpolation with Patch-based Cascaded DiffusionTechnical
- Higher Order Structures for Graph ExplanationsTechnical
- Highly Efficient Rotation-Invariant Spectral Embedding for Scalable Incomplete Multi-View ClusteringTechnical
- Highly Imperceptible Black-Box Graph Injection Attacks with Reinforcement LearningTechnical
- Highly Parallelized Reinforcement Learning Training with Relaxed Assignment DependenciesTechnical
- Holistic Correction with Object Prototype for Video Object SegmentationTechnical
- Holistic Semantic Representation for Navigational Trajectory GenerationTechnical
- HomeDiffusion: Zero-Shot Object Customization with Multi-View Representation Learning for Indoor ScenesTechnical
- HomoMatcher: Achieving Dense Feature Matching with Semi-Dense Efficiency by Homography EstimationTechnical
- HoneypotNet: Backdoor Attacks Against Model ExtractionTechnical
- Hotspotter: A Generalizable Pipeline for Automated Detection of Subtle Volcanic Thermal Features in Satellite ImagesTechnical
- How Do Position Encodings Affect Length Generalization? Case Studies On In-Context Function LearningTechnical
- How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning?Technical
- How Not to Stitch Representations to Measure Similarity: Task Loss Matching Versus Direct MatchingTechnical
- How to Re-enable PDE Loss for Physical Systems Modeling Under Partial ObservationTechnical
- Hubness Change Point DetectionTechnical
- Human Interpretable Virtual Metrology in the Semiconductor ManufacturingTechnical
- Human and AI Perceptual Differences in Image Classification ErrorsTechnical
- Human-Computer Interaction for AI Systems Design: Reflections on an Online Course on Human-AI Interaction for ProfessionalsTechnical
- Hybrid Data-Free Knowledge DistillationTechnical
- Hybrid Decentralized Optimization: Leveraging Both First- and Zeroth-Order Optimizers for Faster ConvergenceTechnical
- Hybrid Phenology Modeling for Predicting Temperature Effects on Tree DormancyTechnical
- Hybrid Quantum-Classical Style Transfer (Student Abstract)Technical
- Hybrid Reasoning About Relative Position and Orientation of Objects and Navigating Agents Using Answer Set ProgrammingTechnical
- Hybrid-Driving: An Autonomous Driving Decision Framework Integrating Large Language Models, Knowledge Graphs and Driving RulesTechnical
- HybridReg: Robust 3D Point Cloud Registration with Hybrid MotionsTechnical
- Hyper-Spectral Image Generation from Frequency SpectrumsTechnical
- HyperDefender: A Robust Framework for Hyperbolic GNNsTechnical
- HyperMixer: Specializable Hypergraph Channel Mixing for Long-term Multivariate Time Series ForecastingTechnical
- Hyperbolic-Constraint Point Cloud Reconstruction from Single RGB-D ImagesTechnical
- Hypergraph Learning for Unsupervised Graph Alignment via Optimal TransportTechnical
- Hypernetwork Approach to Bayesian MAML (Student Abstract)Technical
- Hyperparametric Robust and Dynamic Influence MaximizationTechnical
- IBAS:Imperceptible Backdoor Attacks in Split Learning with Limited InformationTechnical
- ICM-Assistant: Instruction-tuning Multimodal Large Language Models for Rule-based Explainable Image Content ModerationTechnical
- ID-GMLM: Intelligent Decision-Making with Integrated Graph Models and Large Language ModelsTechnical
- ID-Sculpt: ID-aware 3D Head Generation from Single In-the-wild Portrait ImageTechnical
- IDseq: Decoupled and Sequentially Detecting and Grounding Multi-Modal Media ManipulationTechnical
- IMQC: A Large Language Model Platform for Medical Quality ControlTechnical
- IOHunter: Graph Foundation Model to Uncover Online Information OperationsTechnical
- IOP: An Idempotent-Like Optimization Method on the Pareto Front of HypernetworkTechnical
- IPVTON: Image-based 3D Virtual Try-on with Image Prompt AdapterTechnical
- IRMamba: Pixel Difference Mamba with Layer Restoration for Infrared Small Target DetectionTechnical
- ISPDiffuser: Learning RAW-to-sRGB Mappings with Texture-Aware Diffusion Models and Histogram-Guided Color ConsistencyTechnical
- ISR-DPO: Aligning Large Multimodal Models for Videos by Iterative Self-Retrospective DPOTechnical
- IWRN:A Robust Blind Watermarking Method for Artwork Image Copyright Protection Against Noise AttackTechnical
- Identifying Query-Relevant Neurons in Large Language Models for Long-Form TextsTechnical
- Image Regeneration: Evaluating Text-to-Image Model via Generating Identical Image with Multimodal Large Language ModelsTechnical
- Image-to-video Adaptation with Outlier Modeling and Robust Self-learningTechnical
- ImagePiece: Content-aware Re-tokenization for Efficient Image RecognitionTechnical
- Imagine: Image-Guided 3D Part Assembly with Structure Knowledge GraphTechnical
- Imitate Before Detect: Aligning Machine Stylistic Preference for Machine-Revised Text DetectionTechnical
- Imitation Learning Backoff: Reinforcement Learning-based Channel Access for Guaranteeing Fairness (Student Abstract)Technical
- Implicit Location-Caption Alignment via Complementary Masking for Weakly-Supervised Dense Video CaptioningTechnical
- Implicit Relative Labeling-Importance Aware Multi-Label Metric LearningTechnical
- Implicit Word Reordering with Knowledge Distillation for Cross-Lingual Dependency ParsingTechnical
- Improved Approximation Algorithms for Clustered TSP and Subgroup PlanningTechnical
- Improved Bounds for Online Facility Location with PredictionsTechnical
- Improved Rates of Differentially Private Nonconvex-Strongly-Concave Minimax OptimizationTechnical
- Improved Regret Bounds for Online Fair Division with Bandit LearningTechnical
- Improving Cancer Gene Prediction by Enhancing Common Information Between the PPI Network and Gene Functional AssociationTechnical
- Improving Community-Participated Patrol for Anti-PoachingTechnical
- Improving Cooperation in Language Games with Bayesian Inference and the Cognitive HierarchyTechnical
- Improving Deep Learning Speed and Performance Through Synaptic Neural BalanceTechnical
- Improving Federated Domain Generalization Through Dynamical Weights Calculated from Data Influences on Global Model UpdateTechnical
- Improving Generalization for AI-Synthesized Voice DetectionTechnical
- Improving Generalization in Offline Reinforcement Learning via Latent Distribution Representation LearningTechnical
- Improving Model Probability Calibration by Integration of Large Data Sources with Biased LabelsTechnical
- Improving Multimodal Social Media Popularity Prediction via Selective Retrieval Knowledge AugmentationTechnical
- Improving Natural Language Understanding for LLMs via Large-Scale Instruction SynthesisTechnical
- Improving Private Random Forest Prediction Using Matrix RepresentationTechnical
- Improving Transformer Based Line Segment Detection with Matched Predicting and Re-rankingTechnical
- Improving the Lower Bound in Branch-and-Bound Algorithms for MaxSATTechnical
- In Search of Trees: Decision-Tree Policy Synthesis for Black-Box Systems via SearchTechnical
- In-Context Policy Adaptation via Cross-Domain Skill DiffusionTechnical
- In-context Prompt-augmented Micro-video Popularity PredictionTechnical
- In2NeCT: Inter-class and Intra-class Neural Collapse Tuning for Semantic Segmentation of Imbalanced Remote Sensing ImagesTechnical
- Inapproximability of Optimal Multi-Agent Pathfinding ProblemsTechnical
- Incentives for Early ArrivalTechnical
- Incident Diagnosing and Reporting System Based on Retrieval Augmented Large Language ModelTechnical
- Incomplete Multi-View Multi-Label Classification via Diffusion-Guided Redundancy RemovalTechnical
- Incomplete Multi-view Clustering via Diffusion Contrastive GenerationTechnical
- Incomplete and Unpaired Multi-View Graph Clustering with Cross-View Feature FusionTechnical
- Incongruent Multimodal Federated Learning for Medical Vision and Language-based Multi-label Disease DetectionTechnical
- Increasing Revenue in Efficient Combinatorial Auctions by Learning to Generate Artificial CompetitionTechnical
- Incremental Nyström-based Multiple Kernel ClusteringTechnical
- Individually Stable Dynamics in Coalition Formation over GraphsTechnical
- Inductive Learning of Logical Theories with LLMs: A Expressivity-graded AnalysisTechnical
- Infer the Whole from a Glimpse of a Part: Keypoint-Based Knowledge Graph for Vehicle Re-IdentificationTechnical
- Infinite-Canvas: Higher-Resolution Video Outpainting with Extensive Content GenerationTechnical
- Influence-Based Fair Selection for Sample-Discriminative Backdoor AttackTechnical
- Information-Theoretic Generative Clustering of DocumentsTechnical
- Inheriting Generalized Learngene for Efficient Knowledge Transfer across Multiple TasksTechnical
- IniRetinex: Rethinking Retinex-type Low-Light Image Enhancer via Initialization PerspectiveTechnical
- InpDiffusion: Image Inpainting Localization via Conditional Diffusion ModelsTechnical
- InstantPainting: Expanding GANs for Efficient Text-Conditioned Image Generation PlatformTechnical
- InstantSticker: Realistic Decal Blending via Disentangled Object ReconstructionTechnical
- Instruct Where the Model Fails: Generative Data Augmentation via Guided Self-contrastive Fine-tuningTechnical
- InstructOCR: Instruction Boosting Scene Text SpottingTechnical
- Int*-Match: Balancing Intra-Class Compactness and Inter-Class Discrepancy for Semi-Supervised Speaker RecognitionTechnical
- Int2Planner: An Intention-based Multi-modal Motion Planner for Integrated Prediction and PlanningTechnical
- InteDisUX: Intepretation-Guided Discriminative User-Centric Explanation for Time SeriesTechnical
- Integrating Co-Training with Edge Discrimination to Enhance Graph Neural Networks Under HeterophilyTechnical
- Integrating Inference and Experimental Design for Contextual Behavioral Model LearningTechnical
- Integrating Large Language Models and Möbius Group Transformations for Temporal Knowledge Graph Embedding on the Riemann SphereTechnical
- Integrating Low-Level Visual Cues for Enhanced Unsupervised Semantic SegmentationTechnical
- Integrating Multi-Source Data for Long Sequence Precipitation ForecastingTechnical
- Integrating Personalized Spatio-Temporal Clustering for Next POI RecommendationTechnical
- Integrating Sequence and Image Modeling in Irregular Medical Time Series Through Self-Supervised LearningTechnical
- Intelligent Clinical Assistant for Personalized Responses and Clinical SummariesTechnical
- Intent Oriented Contrastive Learning for Sequential RecommendationTechnical
- Interpretable Face Anti-Spoofing: Enhancing Generalization with Multimodal Large Language ModelsTechnical
- Interpretable Failure Detection with Human-Level ConceptsTechnical
- Interweaving Memories of a Siamese Large Language ModelTechnical
- Intra and Inter Parser-Prompted Transformers for Effective Image RestorationTechnical
- Intrinsic Image Decomposition for Robust Self-supervised Monocular Depth Estimation on Reflective SurfacesTechnical
- InvSeg: Test-Time Prompt Inversion for Semantic SegmentationTechnical
- InverseCoder: Self-improving Instruction-Tuned Code LLMs with Inverse-InstructTechnical
- Invertible Projection and Conditional Alignment for Multi-Source Blended-Target Domain AdaptationTechnical
- Investigating Relational State Abstraction in Collaborative MARLTechnical
- Investigating and Mitigating Undesirable Biases in Large Language ModelsTechnical
- Is LLMs Hallucination Usable? LLM-based Negative Reasoning for Fake News DetectionTechnical
- Is Poisoning a Real Threat to DPO? Maybe More So Than You ThinkTechnical
- Is Your Autonomous Vehicle Safe? Understanding the Threat of Electromagnetic Signal Injection Attacks on Traffic Scene PerceptionTechnical
- Is Your Image a Good Storyteller?Technical
- IteRPrimE: Zero-shot Referring Image Segmentation with Iterative Grad-CAM Refinement and Primary Word EmphasisTechnical
- Iterative Counterfactual Data AugmentationTechnical
- Iterative Self-Training with Class-Aware Text-to-Image Synthesis for Visual Task LearningTechnical
- Iterative Sparse Attention for Long-sequence RecommendationTechnical
- J&H: Evaluating the Robustness of Large Language Models Under Knowledge-Injection Attacks in Legal DomainTechnical
- JAQ: Joint Efficient Architecture Design and Low-Bit Quantization with Hardware-Software Co-ExplorationTechnical
- JailPO: A Novel Black-Box Jailbreak Framework via Preference Optimization Against Aligned LLMsTechnical
- JoVALE: Detecting Human Actions in Video Using Audiovisual and Language ContextsTechnical
- Joint Class-level and Instance-level Relationship Modeling for Novel Class DiscoveryTechnical
- Joint Knowledge Editing for Information Enrichment and Probability PromotionTechnical
- Joint Scoring Rules: Competition Between Agents Avoids Performative PredictionTechnical
- Just What You Desire: Constrained Timeline Summarization with Self-Reflection for Enhanced RelevanceTechnical
- Just a Few Glances: Open-Set Visual Perception with Image Prompt ParadigmTechnical
- K-ON: Stacking Knowledge on the Head Layer of Large Language ModelTechnical
- K-hop Hypergraph Neural Network: A Comprehensive Aggregation ApproachTechnical
- KAES: Multi-aspect Shared Knowledge Finding and Aligning for Cross-prompt Automated Scoring of Essay TraitsTechnical
- KALAHash: Knowledge-Anchored Low-Resource Adaptation for Deep HashingTechnical
- KD-MSLRT: Lightweight Sign Language Recognition Model Based on Mediapipe and 3D to 1D Knowledge DistillationTechnical
- KDAT: Inherent Adversarial Robustness via Knowledge Distillation with Adversarial Tuning for Object Detection ModelsTechnical
- KGCRR: An Effective Metric-Driven Knowledge Graph Completion Framework by Designing a Novel Upper Bound Function with Adaptive Approximation to Reciprocal RankTechnical
- KOALA: Kernel Coupling and Element Imputation Induced Multi-View ClusteringTechnical
- Kernel Learning for Sample Constrained Black-Box OptimizationTechnical
- Kernel Representation Learning for Time Sequence: Algorithm, Theory, and ApplicationsTechnical
- KernelMatmul: Scaling Gaussian Processes to Large Time SeriesTechnical
- KeyGS: A Keyframe-Centric Gaussian Splatting Method for Monocular Image SequencesTechnical
- KeyPose: Category-Level 6D Object Pose Estimation with Self-Adaptive KeypointsTechnical
- Knockoffs Inference for Partially Linear Models with Automatic Structure DiscoveryTechnical
- Know Where You Are From: Event-Based Segmentation via Spatio-Temporal PropagationTechnical
- Know2Vec: A Black-Box Proxy for Neural Network RetrievalTechnical
- Knowledge Editing with Dynamic Knowledge Graphs for Multi-Hop Question AnsweringTechnical
- Knowledge Graph Completion with Relation-Aware Anchor EnhancementTechnical
- Knowledge Graph and Large Language Model for MetabolomicsTechnical
- Knowledge Is Power: Harnessing Large Language Models for Enhanced Cognitive DiagnosisTechnical
- Knowledge-Enhanced Hierarchical Heterogeneous Graph for Personality Identification with Limited Training DataTechnical
- Knowledge-Guided Domain Adaptation Model for Transferring Drug Response Prediction from Cell Lines to PatientsTechnical
- Knowledge-Infused Learning for Developing a Mental Health Diagnostic Copilot in Healthcare SystemsTechnical
- Knowledge-driven Scientific Large Language ModelsTechnical
- Kolmogorov-Arnold Networks Still Catastrophically Forget but Differently from MLPTechnical
- L-Man: A Large Multi-modal Model Unifying Human-centric TasksTechnical
- L3TC: Leveraging RWKV for Learned Lossless Low-Complexity Text CompressionTechnical
- LAGD: Local Topological-Alignment and Global Semantic-Deconstruction for Incremental 3D Semantic SegmentationTechnical
- LAMA-UT: Language Agnostic Multilingual ASR Through Orthography Unification and Language-Specific TransliterationTechnical
- LAqua: Laplacian Pyramids for Aquatic Segmentation (Student Abstract)Technical
- LCGC: Learning from Consistency Gradient Conflicting for Class-Imbalanced Semi-Supervised DebiasingTechnical
- LIBA: Language Instructed Multi-granularity Bridge Assistant for 3D Visual GroundingTechnical
- LLM Agents Can Be Choice-Supportive Biased Evaluators: An Empirical StudyTechnical
- LLM Stinger: Jailbreaking LLMs Using RL Fine-Tuned LLMs (Student Abstract)Technical
- LLM-DR: A Novel LLM-Aided Diffusion Model for Rule Generation on Temporal Knowledge GraphsTechnical
- LLM-based Online Prediction of Time-varying Graph Signals (Student Abstract)Technical
- LLM4RSR: Large Language Models as Data Correctors for Robust Sequential RecommendationTechnical
- LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential RecommendationTechnical
- LLMs in the Classroom: Outcomes and Perceptions of Questions Written with the Aid of AITechnical
- LOHA: Direct Graph Spectral Contrastive Learning Between Low-Pass and High-Pass ViewsTechnical
- LPCG: A Self-conditional Architecture for Labeled Point Cloud GenerationTechnical
- LRM-LLaVA: Overcoming the Modality Gap of Multilingual Large Language-Vision Model for Low-Resource LanguagesTechnical
- LS-TGNN: Long and Short-Term Temporal Graph Neural Network for Session-Based RecommendationTechnical
- LTLf Synthesis on First-Order Agent Programs in Nondeterministic EnvironmentsTechnical
- LVPTrack: High Performance Domain Adaptive UAV Tracking with Label Aligned Visual Prompt TuningTechnical
- Label Aggregation for Composite Crowd Tasks by Worker Ability Constraint SatisfactionTechnical
- Label Noise Correction via Fuzzy Learning MachineTechnical
- Label-Efficient Data Augmentation with Video Diffusion Models for Guidewire Segmentation in Cardiac FluoroscopyTechnical
- Langevin Multiplicative Weights Update with Applications in Polynomial Portfolio ManagementTechnical
- Language Models of Code Are Few-Shot Planners and Reasoners for Multi-Document Summarization with AttributionTechnical
- Language Pre-training Guided Masking Representation Learning for Time Series ClassificationTechnical
- Large Images Are Gaussians: High-Quality Large Image Representation with Levels of 2D Gaussian SplattingTechnical
- Large Language Models Are Read/Write Policy-Makers for Simultaneous GenerationTechnical
- Large Language Models Enhanced Personalized Graph Neural Architecture Search in Federated LearningTechnical
- Large-Scale School Mapping Using Weakly Supervised Deep Learning for Universal School ConnectivityTechnical
- Last-iterate Convergence in Regularized Graphon Mean Field GameTechnical
- Latent Diffusion-Enhanced Virtual Try-On via Optimized Pseudo-Label GenerationTechnical
- LayerAct: Advanced Activation Mechanism for Robust Inference of CNNsTechnical
- Layered-Parameter Perturbation for Zeroth-Order Optimization of Optical Neural NetworksTechnical
- Learn How to Query from Unlabeled Data Streams in Federated LearningTechnical
- Learning Causal Transition Matrix for Instance-dependent Label NoiseTechnical
- Learning Complexity of Gradient Descent and Conjugate Gradient AlgorithmsTechnical
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- Learning Cross-Domain Representations for Transferable Drug Perturbations on Single-Cell Transcriptional ResponsesTechnical
- Learning Disentangled Equivariant Representation for Explicitly Controllable 3D Molecule GenerationTechnical
- Learning Dynamic Similarity by Bidirectional Hierarchical Sliding Semantic Probe for Efficient Text Video RetrievalTechnical
- Learning Fine-Grained Alignment for Aerial Vision-Dialog NavigationTechnical
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- Learning Hierarchical Task Knowledge for PlanningTechnical
- Learning Joint Behaviors with Large VariationsTechnical
- Learning Local Neighborhoods of Non-Gaussian Graphical ModelsTechnical
- Learning More Expressive General Policies for Classical Planning DomainsTechnical
- Learning Multiple User Distributions for Recommendation via Guided Conditional DiffusionTechnical
- Learning Nash Equilibrium of Markov Potential Games with a Shared Constraint via Primal-Dual OptimizationTechnical
- Learning Optimal Auctions with Correlated Value DistributionsTechnical
- Learning Regularization for Graph Inverse ProblemsTechnical
- Learning Robust and Privacy-Preserving Representations via Information TheoryTechnical
- Learning Set Functions with Implicit DifferentiationTechnical
- Learning Strategy Representation for Imitation Learning in Multi-Agent GamesTechnical
- Learning Structural Causal Models from Ordering: Identifiable Flow ModelsTechnical
- Learning Structured World Models From and For Physical InteractionsTechnical
- Learning Theorem Rationale for Improving the Mathematical Reasoning Capability of Large Language ModelsTechnical
- Learning Together Securely: Prototype-Based Federated Multi-Modal Hashing for Safe and Efficient Multi-Modal RetrievalTechnical
- Learning Valid Dual Bounds in Constraint Programming: Boosted Lagrangian Decomposition with Self-Supervised LearningTechnical
- Learning Verified Safe Neural Network Controllers for Multi-Agent Path FindingTechnical
- Learning Visually Grounded Domain Ontologies via Embodied Conversation and ExplanationTechnical
- Learning from Mistakes: Self-correct Adversarial Training for Chinese Unnatural Text CorrectionTechnical
- Learning from Noisy Labels via Self-Taught On-the-Fly Meta Loss RescalingTechnical
- Learning from Summarized Data: Gaussian Process Regression with Sample Quasi-LikelihoodTechnical
- Learning to Collaborate with Unknown Agents in the Absence of RewardTechnical
- Learning to Rewind via Iterative Prediction of Past Weights for Practical UnlearningTechnical
- Learning to Think like a Neuron in Middle SchoolTechnical
- Learning with Open-world Noisy Data via Class-independent Margin in Dual Representation SpaceTechnical
- Learnware Specification via Label-Aware Neural EmbeddingTechnical
- Less Is More: Token Context-Aware Learning for Object TrackingTechnical
- Leveraging Anatomical Consistency for Multi-Object Detection in Ultrasound Images via Source-free Unsupervised Domain AdaptationTechnical
- Leveraging Asynchronous Spiking Neural Networks for Ultra Efficient Event-Based Visual ProcessingTechnical
- Leveraging Attention to Effectively Compress Prompts for Long-Context LLMsTechnical
- Leveraging Computer Vision and Visual LLMs for Cost-Effective and Consistent Street Food Safety Assessment in Kolkata IndiaTechnical
- Leveraging Constraint Violation Signals for Action Constrained Reinforcement LearningTechnical
- Leveraging First and Zeroth-Order Gradient to Address Imbalanced Black-Box Prompt Tuning via Minimax OptimizationTechnical
- Leveraging Human Input to Enable Robust, Interactive, and Aligned AI SystemsTechnical
- Leveraging Textual Memory and Key Frame Reasoning for Full Video Understanding Using Off-the-Shelf LLMs and VLMs (Student Abstract)Technical
- Leveraging the Dual Capabilities of LLM: LLM-Enhanced Text Mapping Model for Personality DetectionTechnical
- LiD-FL: Towards List-Decodable Federated LearningTechnical
- LiON: Learning Point-Wise Abstaining Penalty for LiDAR Outlier DetectioN Using Diverse Synthetic DataTechnical
- Lifelong Scalable Generative System via Online Maximum Mean DiscrepancyTechnical
- Lifting Scheme-Based Implicit Disentanglement of Emotion-Related Facial Dynamics in the WildTechnical
- LightPROF: A Lightweight Reasoning Framework for Large Language Model on Knowledge GraphTechnical
- Lightweight Contrastive Distilled Hashing for Online Cross-modal RetrievalTechnical
- Lightweight Yet Fine-Grained: A Graph Capsule Convolutional Network with Subspace Alignment for Shared-Account Sequential RecommendationTechnical
- Like an Ophthalmologist: Dynamic Selection Driven Multi-View Learning for Diabetic Retinopathy GradingTechnical
- Linear Decoding of Morphology Relations in Language Models (Student Abstract)Technical
- Linear Equations with Min and Max Operators: Computational ComplexityTechnical
- Linear Streaming Bandit: Regret Minimization and Fixed-Budget Epsilon-Best Arm IdentificationTechnical
- Linking Industry Sectors and Financial Statements: A Hybrid Approach for Company ClassificationTechnical
- List Update with PredictionTechnical
- LiteSearch: Efficient Tree Search with Dynamic Exploration Budget for Math ReasoningTechnical
- Little Is Enough: Boosting Privacy by Sharing Only Hard Labels in Federated Semi-Supervised LearningTechnical
- LoGoFair: Post-Processing for Local and Global Fairness in Federated LearningTechnical
- LoRA Unlearns More and Retains More (Student Abstract)Technical
- Local Causal Discovery Without Causal SufficiencyTechnical
- Local Causal Discovery for Structural Evidence of Direct DiscriminationTechnical
- Locally Convex Global Loss Network for Decision-Focused LearningTechnical
- Logarithmic Regret for Linear Markov Decision Processes with Adversarial CorruptionsTechnical
- Logic Induced High-Order Reasoning Network for Event-Event Relation ExtractionTechnical
- Logic-Q: Improving Deep Reinforcement Learning-based Quantitative Trading via Program Sketch-based TuningTechnical
- Long-Tailed Out-of-Distribution Detection: Prioritizing Attention to TailTechnical
- Long-Term EEG Partitioning for Seizure Onset DetectionTechnical
- Look Around Before Locating: Considering Content and Structure Information for Visual GroundingTechnical
- Look Back for More: Harnessing Historical Sequential Updates for Personalized Federated Adapter TuningTechnical
- Look Before You Leap: Enhance Attention and Vigilance Regarding Harmful Content with GuidelineLLMTechnical
- Loosely Synchronized Rule-Based Planning for Multi-Agent Path Finding with Asynchronous ActionsTechnical
- M2Flow: A Motion Information Fusion Framework for Enhanced Unsupervised Optical Flow Estimation in Autonomous DrivingTechnical
- M2OST: Many-to-one Regression for Predicting Spatial Transcriptomics from Digital Pathology ImagesTechnical
- M3Net: Efficient Time-Frequency Integration Network with Mirror Attention for Audio Classification on EdgeTechnical
- M3Net: Multimodal Multi-task Learning for 3D Detection, Segmentation, and Occupancy Prediction in Autonomous DrivingTechnical
- MABR: Multilayer Adversarial Bias Removal Without Prior Bias KnowledgeTechnical
- MAFT: Multimodal Automated Fact-Checking via TextualizationTechnical
- MAMS: Model-Agnostic Module Selection Framework for Video CaptioningTechnical
- MASS: Overcoming Language Bias in Image-Text MatchingTechnical
- MATWA: A Web Toolkit for Matching Under PreferencesTechnical
- MCAT: Visual Query-Based Localization of Standard Anatomical Clips in Fetal Ultrasound Videos Using Multi-Tier Class-Aware Token TransformerTechnical
- MDFG: Multi-Dimensional Fine-Grained Modeling for Fatigue DetectionTechnical
- ME: Modelling Ethical Values for Value AlignmentTechnical
- MEATRD: Multimodal Anomalous Tissue Region Detection Enhanced with Spatial TranscriptomicsTechnical
- MEDSAGE: Enhancing Robustness of Medical Dialogue Summarization to ASR Errors with LLM-generated Synthetic DialoguesTechnical
- MEPNet: Medical Entity-Balanced Prompting Network for Brain CT Report GenerationTechnical
- MFL-Owner: Ownership Protection for Multi-modal Federated Learning via Orthogonal Transform WatermarkTechnical
- MHBench: Demystifying Motion Hallucination in VideoLLMsTechnical
- MI-CAPTCHA: Enhance the Security of CAPTCHA Using Mooney ImagesTechnical
- MIDI-GPT: A Controllable Generative Model for Computer-Assisted Multitrack Music CompositionTechnical
- MIETT: Multi-Instance Encrypted Traffic Transformer for Encrypted Traffic ClassificationTechnical
- MIMTrack: In-Context Tracking via Masked Image ModelingTechnical
- ML-GOOD: Towards Multi-Label Graph Out-Of-Distribution DetectionTechnical
- MLC-NC: Long-Tailed Multi-Label Image Classification Through the Lens of Neural CollapseTechnical
- MM-Mixing: Multi-Modal Mixing Alignment for 3D UnderstandingTechnical
- MM-Tracker: Motion Mamba for UAV-platform Multiple Object TrackingTechnical
- MMJ-Bench: A Comprehensive Study on Jailbreak Attacks and Defenses for Vision Language ModelsTechnical
- MMPF: Multi-Modal Perception Framework for Abnormal Medical Condition DetectionTechnical
- MOCID: Motion Context and Displacement Information Learning for Moving Infrared Small Target DetectionTechnical
- MORE: Molecule Pretraining with Multi-Level Pretext TaskTechnical
- MP: Endowing Large Language Models with Lateral ThinkingTechnical
- MPTSNet: Integrating Multiscale Periodic Local Patterns and Global Dependencies for Multivariate Time Series ClassificationTechnical
- MRBTP: Efficient Multi-Robot Behavior Tree Planning and CollaborationTechnical
- MRR-FV: Unlocking Complex Fact Verification with Multi-Hop Retrieval and ReasoningTechnical
- MSAmba: Exploring Multimodal Sentiment Analysis with State Space ModelsTechnical
- MSE-Adapter: A Lightweight Plugin Endowing LLMs with the Capability to Perform Multimodal Sentiment Analysis and Emotion RecognitionTechnical
- MSR: A Multifaceted Self-Retrieval Framework for Microscopic Cascade PredictionTechnical
- MSSDA: Multi-Sub-Source Domain Adaptation for Diabetic Foot Neuropathy RecognitionTechnical
- MSV-PCT: Multi-Sparse-View Enhanced Transformer Framework for Salient Object Detection in Point CloudsTechnical
- MTVHunter: Smart Contracts Vulnerability Detection Based on Multi-Teacher Knowledge TranslationTechnical
- MUCD: Unsupervised Point Cloud Change Detection via Masked ConsistencyTechnical
- MUN: Image Forgery Localization Based on M³ Encoder and UN DecoderTechnical
- MVREC: A General Few-shot Defect Classification Model Using Multi-View Region-ContextTechnical
- MVReward: Better Aligning and Evaluating Multi-View Diffusion Models with Human PreferencesTechnical
- MYOPIA: Protecting Face Privacy from Malicious Personalized Text-to-Image Synthesis via Unlearnable ExamplesTechnical
- M^3EL: A Multi-task Multi-topic Dataset for Multi-modal Entity LinkingTechnical
- MaintaAvatar: A Maintainable Avatar Based on Neural Radiance Fields by Continual LearningTechnical
- Maintaining Fairness in Logit-based Knowledge Distillation for Class-Incremental LearningTechnical
- Making Large Vision Language Models to Be Good Few-Shot LearnersTechnical
- Making Transparency Advocates: An Educational Approach Towards Better Algorithmic Transparency in PracticeTechnical
- MalDetectFormer: Leveraging Sparse SpatioTemporal Information for Effective Malicious Traffic DetectionTechnical
- Mamba-CAD: State Space Model for 3D Computer-Aided Design Generative ModelingTechnical
- Manhattan Self-Attention Diffusion Residual Networks with Dynamic Bias Rectification for BCI-based Few-Shot LearningTechnical
- Manta: Enhancing Mamba for Few-Shot Action Recognition of Long Sub-SequenceTechnical
- Mapping from Meaning: Addressing the Miscalibration of Prompt-Sensitive Language ModelsTechnical
- Marginal Benefit Driven RL Teacher for Unsupervised Environment DesignTechnical
- Markov Balance Satisfaction Improves Performance in Strictly Batch Offline Imitation LearningTechnical
- MarkovType: A Markov Decision Process Strategy for Non-Invasive Brain-Computer Interfaces Typing SystemsTechnical
- MaskPrompt: Open-Vocabulary Affordance Segmentation with Object Shape Mask PromptsTechnical
- MaskViM: Domain Generalized Semantic Segmentation with State Space ModelsTechnical
- Matching While Perceiving: Enhance Image Feature Matching with Applicable Semantic AmalgamationTechnical
- MathMistake Checker: A Comprehensive Demonstration for Step-by-Step Math Problem Mistake Finding by Prompt-Guided LLMsTechnical
- Max-Mahalanobis Anchors Guidance for Multi-View ClusteringTechnical
- Maximizing Signal in Human-Model Preference AlignmentTechnical
- Maximizing the Position Embedding for Vision Transformers with Global Average PoolingTechnical
- McHirc: A Multimodal Benchmark for Chinese Idiom Reading ComprehensionTechnical
- Measuring Cross-Modal Interactions in Multimodal ModelsTechnical
- Measuring Fine-Grained Urban Air Temperature with Satellite ImageryTechnical
- Mechanism Design for Connecting Regions Under DisruptionsTechnical
- Mediation Analysis for Probabilities of CausationTechnical
- Meme Trojan: Backdoor Attacks Against Hateful Meme Detection via Cross-Modal TriggersTechnical
- Memory Efficient Matting with Adaptive Token RoutingTechnical
- Memory-Augmented Re-Completion for 3D Semantic Scene CompletionTechnical
- Memory-Reduced Meta-Learning with Guaranteed ConvergenceTechnical
- Mental-Perceiver: Audio-Textual Multi-Modal Learning for Estimating Mental DisordersTechnical
- MergeNet: Knowledge Migration Across Heterogeneous Models, Tasks, and ModalitiesTechnical
- Merging Mechanisms for Ads and Organic Items in E-commerce PlatformsTechnical
- MerryQuery: A Trustworthy LLM-Powered Tool Providing Personalized Support for Educators and StudentsTechnical
- Mesh Watermark Removal Attack and Mitigation: A Novel Perspective of Function SpaceTechnical
- MetaNeRV: Meta Neural Representations for Videos with Spatial-Temporal GuidanceTechnical
- MetaSymNet: A Tree-like Symbol Network with Adaptive Architecture and Activation FunctionsTechnical
- Metric Distortion of Line-up Elections: The Right Person for the Right JobTechnical
- Metric-Agnostic Continual Learning for Sustainable Group FairnessTechnical
- Micro-macro Wavelet-based Gaussian Splatting for 3D Reconstruction from Unconstrained ImagesTechnical
- MicroFiberDetect: An Application for the Detection of Microfibres in Wastewater Sludge Based on CNNsTechnical
- MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention SimilarityTechnical
- Mind Individual Information! Principal Graph Learning for Multimedia RecommendationTechnical
- Mind the Uncertainty in Human Disagreement: Evaluating Discrepancies Between Model Predictions and Human Responses in VQATechnical
- MindPainter: Efficient Brain-Conditioned Painting of Natural Images via Cross-Modal Self-Supervised LearningTechnical
- Minimal Change in Modal Logic S5Technical
- Mining In-distribution Attributes in Outliers for Out-of-distribution DetectionTechnical
- Mitigating Bias in Machine Learning: A Comprehensive Review and Novel ApproachesTechnical
- Mitigating Feature Gap for Adversarial Robustness by Feature DisentanglementTechnical
- Mitigating Hallucinations in Large Vision-Language Models by Adaptively Constraining Information FlowTechnical
- Mitigating Pervasive Modality Absence Through Multimodal Generalization and RefinementTechnical
- Mitigating Social Bias in Large Language Models: A Multi-Objective Approach Within a Multi-Agent FrameworkTechnical
- Mixed-Curvature Multi-Modal Knowledge Graph CompletionTechnical
- Mixture of Experts as Representation Learner for Deep Multi-View ClusteringTechnical
- Mixture of Knowledge Minigraph Agents for Literature Review GenerationTechnical
- Mixture of Online and Offline Experts for Non-Stationary Time SeriesTechnical
- Mixture-of-Attack-Experts with Class Regularization for Unified Physical-Digital Face Attack DetectionTechnical
- Mjölnir: Breaking the Shield of Perturbation-Protected Gradients via Adaptive DiffusionTechnical
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- Modular-Cam: Modular Dynamic Camera-view Video Generation with LLMTechnical
- Momentum Pseudo-Labeling for Weakly Supervised Phrase GroundingTechnical
- Monitoring Primitive Interactions During the Training of DNNsTechnical
- Moonshine: Distilling Game Content Generators into Steerable Generative ModelsTechnical
- Motif-Oriented Representation Learning with Topology Refinement for Drug-Drug Interaction PredictionTechnical
- Motif-aware Graph Neural Networks for Networked Time Series ImputationTechnical
- MotifGPL: Motif-Enhanced Graph Prototype Learning for Deciphering Urban Social SegregationTechnical
- Motion Artifact Removal in Pixel-Frequency Domain via Alternate Masks and Diffusion ModelTechnical
- Motion Decoupled 3D Gaussian Splatting for Dynamic Object RepresentationTechnical
- Motion Prior Knowledge Learning with Homogeneous Language Descriptions for Moving Infrared Small Target DetectionTechnical
- Motion-Zero: A Zero-Shot Trajectory Control Framework of Moving Object for Diffusion-Based Video GenerationTechnical
- Motion-adaptive Transformer for Event-based Image DeblurringTechnical
- Move and Act: Enhanced Object Manipulation and Background Integrity for Image EditingTechnical
- Multi-Apartment Rent DivisionTechnical
- Multi-Attribute Multi-Grained Adaptation of Pre-Trained Language Models for Text Understanding from Bayesian PerspectiveTechnical
- Multi-Branch Self-Drafting for LLM Inference AccelerationTechnical
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- Multi-Focus Image Fusion via Explicit Defocus Blur ModellingTechnical
- Multi-Frame Deformable Look-Up Table for Compressed Video Quality EnhancementTechnical
- Multi-Granular Multimodal Clue Fusion for Meme UnderstandingTechnical
- Multi-Granularity Open Intent Classification via Adaptive Granular-Ball Decision BoundaryTechnical
- Multi-Granularity Video Object SegmentationTechnical
- Multi-Instance Multi-Label Classification from Crowdsourced LabelsTechnical
- Multi-Label Few-Shot Image Classification via Pairwise Feature Augmentation and Flexible Prompt LearningTechnical
- Multi-Label Ranking Loss Minimization for Matrix CompletionTechnical
- Multi-Modal Hand-to-Mouth Gesture Recognition in Activity-Oriented RGB-Thermal Footage (Student Abstract)Technical
- Multi-Modal Latent Variables for Cross-Individual Primary Visual Cortex Modeling and AnalysisTechnical
- Multi-Modal Recommendation Unlearning for Legal, Licensing, and Modality ConstraintsTechnical
- Multi-OphthaLingua: A Multilingual Benchmark for Assessing and Debiasing LLM Ophthalmological QA in LMICsTechnical
- Multi-Perspective Consolidation Enhanced Cognitive Diagnosis via Conditional Diffusion ModelTechnical
- Multi-Scale Graph Learning for Anti-Sparse DownscalingTechnical
- Multi-Shape Matching with Cycle Consistency Basis via Functional MapsTechnical
- Multi-StyleGS: Stylized Gaussian Splatting with Multiple StylesTechnical
- Multi-Subspace Matrix Recovery from Permuted DataTechnical
- Multi-Teacher Knowledge Distillation with Reinforcement Learning for Visual RecognitionTechnical
- Multi-Turn Jailbreaking Large Language Models via Attention ShiftingTechnical
- Multi-View 3D Human Pose Estimation with Weakly Synchronized ImagesTechnical
- Multi-View Collaborative Learning Network for Speech Deepfake DetectionTechnical
- Multi-View Empowered Structural Graph Wordification for Language ModelsTechnical
- Multi-View Multi-Label Classification via View-Label Matching SelectionTechnical
- Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic DatasetTechnical
- Multi-View Unsupervised Column Subset Selection via Combinatorial Search (Student Abstract)Technical
- Multi-aspect Self-guided Deep Information Bottleneck for Multi-modal ClusteringTechnical
- Multi-axis Prompt and Multi-dimension Fusion Network for All-in-one Weather-degraded Image RestorationTechnical
- Multi-concept Model Immunization through Differentiable Model MergingTechnical
- Multi-fingered Hand Grasps with Visuo-Tactile Fusion via Multi-Agent Deep Reinforcement LearningTechnical
- Multi-label Self Knowledge DistillationTechnical
- Multi-modal Deepfake Detection via Multi-task Audio-Visual Prompt LearningTechnical
- Multi-scale Activation, Refinement, and Aggregation: Exploring Diverse Cues for Fine-Grained Bird RecognitionTechnical
- Multi-to-Single: Reducing Multimodal Dependency in Emotion Recognition Through Contrastive LearningTechnical
- Multi-type MOOCs Recommendation: Leveraging Deep Multi-Relational Representation and Hierarchical ReasoningTechnical
- Multi-view Consistent 3D Panoptic Scene UnderstandingTechnical
- Multi-view Evidential Learning-based Medical Image SegmentationTechnical
- Multi-view Granular-ball Contrastive ClusteringTechnical
- MultiSFL: Towards Accurate Split Federated Learning via Multi-Model Aggregation and Knowledge ReplayTechnical
- Multimodal Fine-Grained Apparent Personality Trait Recognition: Joint Modeling of Big Five and Questionnaire Item-level ScoresTechnical
- Multimodal Fusion Using Multi-View Domains for Data Heterogeneity in Federated LearningTechnical
- Multimodal Hypothetical Summary for Retrieval-based Multi-image Question AnsweringTechnical
- Multimodal Promptable Token Merging for Diffusion ModelsTechnical
- Multimodal Variational Autoencoder: A Barycentric ViewTechnical
- Multiple Feature Refining Network for Visual Emotion Distribution LearningTechnical
- Multiple Mean-Payoff Optimization Under Local Stability ConstraintsTechnical
- Multiple Purchase Chains with Negative Transfer Elimination for Multi-Behavior RecommendationTechnical
- Multiple Trade-offs: An Improved Approach for Lexicographic Linear BanditsTechnical
- Multiplex Graph Representation Learning with Homophily and ConsistencyTechnical
- Multisensory Machine IntelligenceTechnical
- Multispectral Pedestrian Detection with Sparsely Annotated LabelTechnical
- Muses: 3D-Controllable Image Generation via Multi-Modal Agent CollaborationTechnical
- M²N: A Progressive Macro-to-Micro 3D Modeling Scheme for Unveiling Drug-Target AffinityTechnical
- M²RL-Net: Multi-View and Multi-Level Relation Learning Network for Weakly-Supervised Image Forgery DetectionTechnical
- NAAM: Node-Aware Attention Mechanism for Distilling GNNs-to-MLP (Student Abstract)Technical
- NBA3D: Neighbor-Based Confidence Adjustment for 3D Rare Object Detection Using LiDARTechnical
- NOMATTERXAI: Generating “No Matter What” Alterfactual Examples for Explaining Black-Box Text Classification ModelsTechnical
- NaFV-Net: An Adversarial Four-view Network for Mammogram ClassificationTechnical
- Natural Language Generation with Expert StandardsTechnical
- NaviFormer: A Spatio-Temporal Context-Aware Transformer for Object NavigationTechnical
- Navigating Towards Fairness with Data SelectionTechnical
- Neighborhood-Aware Negative Sampling for Student Knowledge and Behavior ModelingTechnical
- Network Inversion of Convolutional Neural Nets (Student Abstract)Technical
- Neural Assembler: Learning to Generate Fine-Grained Robotic Assembly Instructions from Multi-View ImagesTechnical
- Neural Block Compression: Variable Bitrates Feature Blocks for Texture RepresentationTechnical
- Neural Combinatorial Clustered Bandits for Recommendation SystemsTechnical
- Neural Combinatorial Optimization for Stochastic Flexible Job Shop Scheduling ProblemsTechnical
- Neural Conformal Control for Time Series ForecastingTechnical
- Neural Conjugate Flows: A Physics-Informed Architecture with Flow StructureTechnical
- Neural Control and Certificate Repair via Runtime MonitoringTechnical
- Neural Networks Perform Sufficient Dimension ReductionTechnical
- Neural Reasoning for Sure Through Constructing Explainable ModelsTechnical
- Neural Temporal Point Processes for Forecasting Directional Relations in Evolving HypergraphsTechnical
- Neuro-Guided Graph Search for Symbolic Regression (Student Abstract)Technical
- Neuron Explanations for Conformal Prediction (Student Abstract)Technical
- Neurons to Words: A Novel Method for Automated Neural Network Interpretability and AlignmentTechnical
- Neurosymbolic Reinforcement Learning: Playing MiniHack with Probabilistic Logic ShieldsTechnical
- New Compilation Languages Based on Restricted Weak DecomposabilityTechnical
- NightReID: A Large-Scale Nighttime Person Re-Identification BenchmarkTechnical
- No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier MethodsTechnical
- Noise-Injected Spiking Graph Convolution for Energy-Efficient 3D Point Cloud DenoisingTechnical
- NoiseHGNN: Synthesized Similarity Graph-Based Neural Network for Noised Heterogeneous Graph Representation LearningTechnical
- Noisy Correspondence Rectification via Asymmetric Similarity LearningTechnical
- Noisy Label Calibration for Multi-View ClassificationTechnical
- Non-Convex Tensor Recovery from Local MeasurementsTechnical
- Non-stochastic Budgeted Online Pricing with Semi-Bandit FeedbackTechnical
- Normal-NeRF: Ambiguity-Robust Normal Estimation for Highly Reflective ScenesTechnical
- Normalize Then Propagate: Efficient Homophilous Regularization for Few-Shot Semi-Supervised Node ClassificationTechnical
- Novel View Synthesis Under Large-Deviation Viewpoint for Autonomous DrivingTechnical
- Novelty-Guided Data Reuse for Efficient and Diversified Multi-Agent Reinforcement LearningTechnical
- Nuance Matters: Probing Epistemic Consistency in Causal ReasoningTechnical
- Number Theoretic Accelerated Learning of Physics-Informed Neural NetworksTechnical
- OAC: Output-adaptive Calibration for Accurate Post-training QuantizationTechnical
- OAMaskFlow: Occlusion-Aware Motion Mask for Scene FlowTechnical
- OLMD: Orientation-aware Long-term Motion Decoupling for Continuous Sign Language RecognitionTechnical
- OODML: Whole Slide Image Classification Meets Online Pseudo-Supervision and Dynamic Mutual LearningTechnical
- OT-StainNet: Optimal Transport Driven Semantic Matching for Weakly Paired H&E-to-IHC Stain TransferTechnical
- OTIAS: OcTree Implicit Adaptive Sampling for Multispectral and Hyperspectral Image FusionTechnical
- OTLRM: Orthogonal Learning-based Low-Rank Metric for Multi-Dimensional Inverse ProblemsTechnical
- OTPNet: ODE-inspired Tuning-free Proximal Network for Remote Sensing Image FusionTechnical
- OUS: Bridging Scene Context and Facial Features to Overcome the Rigid Cognitive ProblemTechnical
- ObjVariantEnsemble: Advancing Point Cloud LLM Evaluation in Challenging Scenes with Subtly Distinguished ObjectsTechnical
- Occlusion-Embedded Hybrid Transformer for Light Field Super-ResolutionTechnical
- Occlusion-Insensitive Talking Head Video Generation via Facelet CompensationTechnical
- Offline Multi-Agent Reinforcement Learning via In-Sample Sequential Policy OptimizationTechnical
- Offline Safe Reinforcement Learning Using Trajectory ClassificationTechnical
- Omni-Query Active Learning for Source-Free Domain Adaptive Cross-Modality 3D Semantic SegmentationTechnical
- OmniMark: Efficient and Scalable Latent Diffusion Model FingerprintingTechnical
- On Action Theories with Iterable First-Order ProgressionTechnical
- On Designing the Optimal Integrated Ad Auction in E-commerce PlatformsTechnical
- On Finding Hubs in High Dimensions with SamplingTechnical
- On Local Overfitting and Forgetting in Deep Neural NetworksTechnical
- On Probabilistic Truncation in Privacy-preserving Machine LearningTechnical
- On Shallow Planning Under Partial ObservabilityTechnical
- On the Asymptotic Optimality of Confidence Interval Based Algorithms for Fixed Confidence MABsTechnical
- On the Expressiveness and Length Generalization of Selective State Space Models on Regular LanguagesTechnical
- On the Hardness of Training Deep Neural Networks DiscretelyTechnical
- On the Logic of Theory Base Change: Reformulation of Belief BasesTechnical
- On the Modelling of Constraints with Tractable Logical OperatorsTechnical
- On the Power of Randomization for Obviously Strategy-Proof MechanismsTechnical
- On the Robustness of Distributed Machine Learning Against Transfer AttacksTechnical
- On-Policy Algorithms for Continual Reinforcement Learning (Student Abstract)Technical
- OnAIR: Applications of the NASA On-Board Artificial Intelligence Research PlatformTechnical
- One for Dozens: Adaptive REcommendation for All Domains with Counterfactual AugmentationTechnical
- One-Shot Reference-based Structure-Aware Image to Sketch SynthesisTechnical
- OneBatchPAM: A Fast and Frugal K-Medoids AlgorithmTechnical
- Online Fraud Detection via Test-Time Retrieval-Based Representation EnrichmentTechnical
- Online Learning of Coalition Structures by Selfish AgentsTechnical
- Online MDP with Prototypes Information: A Robust Adaptive ApproachTechnical
- Online Nonsubmodular Optimization with Delayed Feedback in the Bandit SettingTechnical
- Online Prompt Selection for Program SynthesisTechnical
- Open-Set Cross-Network Node Classification via Unknown-Excluded Adversarial Graph Domain AlignmentTechnical
- Open-Set Heterogeneous Domain Adaptation: Theoretical Analysis and AlgorithmTechnical
- Open-World Multimodal Understanding and Generation with Efficiently Finetuned Foundation ModelsTechnical
- Open-world Radio Frequency Fingerprint Identification via Augmented Semi-supervised LearningTechnical
- OpenViewer: Openness-Aware Multi-View LearningTechnical
- Optimal Auction Design for Mixed BiddersTechnical
- Optimal Bounds for Dissatisfaction in Perpetual VotingTechnical
- Optimal Classification Trees for Continuous Feature Data Using Dynamic Programming with Branch-and-BoundTechnical
- Optimal Control Operator Perspective and a Neural Adaptive Spectral MethodTechnical
- Optimal Viewpoint Selection for Autonomous Photography Using Reinforcement LearningTechnical
- Optimal and Efficient Binary Questioning for Accelerated AnnotationTechnical
- Optimally Solving Simultaneous-Move Dec-POMDPs: The Sequential Central Planning ApproachTechnical
- Optimising Spatial Teamwork Under UncertaintyTechnical
- Optimized Gradient Clipping for Noisy Label LearningTechnical
- Optimized Random Features for the Neural Tangent Kernel (Student Abstract)Technical
- Optimizing Gene-Based Testing for Antibiotic Resistance PredictionTechnical
- Optimizing Heat Alert Issuance with Reinforcement LearningTechnical
- Optimizing Label Assignment for Weakly Supervised Person SearchTechnical
- Optimizing Quantized Diffusion Models via Distillation with Cross-Timestep Error CorrectionTechnical
- Orpheus: Engineering Multiagent Systems via Communicating AgentsTechnical
- Ouroboros-Diffusion: Exploring Consistent Content Generation in Tuning-free Long Video DiffusionTechnical
- Out-of-Distribution Detection with Prototypical Outlier ProxyTechnical
- Out-of-Distribution Generalization on Graphs via Progressive InferenceTechnical
- Overcoming Heterogeneous Data in Federated Medical Vision-Language Pre-training: A Triple-Embedding Model Selector ApproachTechnical
- PA3Fed: Period-Aware Adaptive Aggregation for Improved Federated LearningTechnical
- PBECount: Prompt-Before-Extract Paradigm for Class-Agnostic CountingTechnical
- PC-BEV: An Efficient Polar-Cartesian BEV Fusion Framework for LiDAR Semantic SegmentationTechnical
- PCM Selector: Penalized Covariate-Mediator Selection Operator for Evaluating Linear Causal EffectsTechnical
- PDBs Go Numeric: Pattern-Database Heuristics for Simple Numeric PlanningTechnical
- PDDM: Pseudo Depth Diffusion Model for RGB-PD Semantic Segmentation Based in Complex Indoor ScenesTechnical
- PEIE: Physics Embedded Illumination Estimation for Adaptive DehazingTechnical
- PFedCS: A Personalized Federated Learning Method for Enhancing Collaboration among Similar ClassifiersTechnical
- PHR-DIFF: Portrait Highlights Removal via Patch-aware Diffusion ModelTechnical
- POI Recommendation via Multi-Objective Adversarial Imitation LearningTechnical
- POI-Enhancer: An LLM-based Semantic Enhancement Framework for POI Representation LearningTechnical
- POPoS: Improving Efficient and Robust Facial Landmark Detection with Parallel Optimal Position SearchTechnical
- PRIORITY2REWARD: Incorporating Healthworker Preferences for Resource Allocation PlanningTechnical
- PROSAC: Provably Safe Certification for Machine Learning Models under Adversarial AttacksTechnical
- PScalpel: A Machine Learning-based Guider for Protein Phase-Separating Behaviour AlterationTechnical
- PUBLICSPEAK: Hearing the Public with a Probabilistic FrameworkTechnical
- PVTree: Realistic and Controllable Palm Vein Generation for Recognition TasksTechnical
- Paid with Models: Optimal Contract Design for Collaborative Machine LearningTechnical
- Pamba: Enhancing Global Interaction in Point Clouds via State Space ModelTechnical
- Pancreatic Cancer Diagnosis SystemTechnical
- PanoDiT: Panoramic Videos Generation with Diffusion TransformerTechnical
- Parallel Greedy Best-First Search with a Bound on Expansions Relative to Sequential SearchTechnical
- Parallel-Learning of Invariant and Tempo-variant Attributes of Single-Lead Cardiac Signals: PLITATechnical
- Parameterized Complexity of Caching in NetworksTechnical
- Parametric ρ-Norm Scaling CalibrationTechnical
- Pareto Continual Learning: Preference-Conditioned Learning and Adaption for Dynamic Stability-Plasticity Trade-offTechnical
- Partial Identifiability in Inverse Reinforcement Learning for Agents with Non-Exponential DiscountingTechnical
- Partial Label Causal Representation Learning for Instance-Dependent Supervision and Domain GeneralizationTechnical
- Partial Point Cloud Registration with Multi-view 2D Image LearningTechnical
- Path-Adaptive Matting for Efficient Inference Under Various Computational Cost ConstraintsTechnical
- PerReactor: Offline Personalised Multiple Appropriate Facial Reaction GenerationTechnical
- Personalized Clustering via Targeted Representation LearningTechnical
- Personalized Dynamic Music Emotion Recognition with Dual-Scale Attention-Based Meta-LearningTechnical
- Personalized Label Inference Attack in Federated Transfer Learning via Contrastive Meta LearningTechnical
- Personalized Learning in Action: Exploring AI and Robotics for Early Childhood EducationTechnical
- PersonalizedUS: Interpretable Breast Cancer Risk Assessment with Local Coverage Uncertainty QuantificationTechnical
- Persuasion for Social Good: How to Build and Break AITechnical
- Perturbating, Tuning, and Collaborating: Harnessing Vision Foundation Models for Single Domain Generalization on Medical ImagingTechnical
- Phoneme-Level Feature Discrepancies: A Key to Detecting Sophisticated Speech DeepfakesTechnical
- PhyCamo: A Robust Physical Camouflage via Contrastive Learning for Multi-View Physical Adversarial AttackTechnical
- PhysAug: A Physical-guided and Frequency-based Data Augmentation for Single-Domain Generalized Object DetectionTechnical
- PhysDiff: Physiology-based Dynamicity Disentangled Diffusion Model for Remote Physiological MeasurementTechnical
- Physical Marker: Revealing Invisible Hyperlinks Hidden in Printed TrademarksTechnical
- Physical-aware Neural Radiance Fields for Efficient Exposure CorrectionTechnical
- Physics-Guided Fair Graph Sampling for Water Temperature Prediction in River NetworksTechnical
- Pic2Prep: A Multimodal Conversational Agent for Cooking AssistanceTechnical
- Pioneering Explainable Video Fact-Checking with a New Dataset and Multi-role Multimodal Model ApproachTechnical
- PixelMan: Consistent Object Editing with Diffusion Models via Pixel Manipulation and GenerationTechnical
- PlaNet: Learning to Mitigate Atmospheric Turbulence in Planetary ImagesTechnical
- Planning from Imagination: Episodic Simulation and Episodic Memory for Vision-and-Language NavigationTechnical
- Plug-and-Play Tri-Branch Invertible Block for Image RescalingTechnical
- PointCFormer: A Relation-Based Progressive Feature Extraction Network for Point Cloud CompletionTechnical
- PointDGMamba: Domain Generalization of Point Cloud Classification via Generalized State Space ModelTechnical
- PokerBench: Training Large Language Models to Become Professional Poker PlayersTechnical
- Polarization Guided Mask-Free Shadow RemovalTechnical
- Political Bias Prediction Models Focus on Source Cues, Not SemanticsTechnical
- Poplar: Efficient Scaling of Distributed DNN Training on Heterogeneous GPU ClustersTechnical
- Population Aware Diffusion for Time Series GenerationTechnical
- Portcullis: A Scalable and Verifiable Privacy Gateway for Third-Party LLM InferenceTechnical
- Pose as a Modality: A Psychology-Inspired Network for Personality Recognition with a New Multimodal DatasetTechnical
- PoseLLaVA: Pose Centric Multimodal LLM for Fine-Grained 3D Pose ManipulationTechnical
- Position-Aware Guided Point Cloud Completion with CLIP ModelTechnical
- Power of Diversity: Enhancing Data-Free Black-Box Attack with Domain-Augmented LearningTechnical
- Practical Offloading for Fine-Tuning LLM on Commodity GPU via Learned Sparse ProjectorsTechnical
- Pragmatist: Multiview Conditional Diffusion Models for High-Fidelity 3D Reconstruction from Unposed Sparse ViewsTechnical
- Pre-Assignment Problem for Unique Minimum Vertex Cover on Bounded Clique-Width GraphsTechnical
- Pre-Trained Vision-Language Models as Noisy Partial AnnotatorsTechnical
- Pre-Training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information BottleneckTechnical
- Pre-trained Behavioral Model for Malicious User Prediction on Social PlatformTechnical
- Pre-training a Density-Aware Pose Transformer for Robust LiDAR-based 3D Human Pose EstimationTechnical
- PrecipDiff: Leveraging Image Diffusion Models to Enhance Satellite-Based Precipitation ObservationsTechnical
- Predicting User Behavior in Smart Spaces with LLM-Enhanced Logs and Personalized PromptsTechnical
- Predicting the Original Appearance of Damaged Historical DocumentsTechnical
- Prediction-Based Adaptive Variable Ordering Heuristics for Constraint Satisfaction ProblemsTechnical
- Predictive Modeling of Homeless Service Assignment: A Representation Learning ApproachTechnical
- Preference-Oriented Supervised Fine-Tuning: Favoring Target Model over Aligned Large Language ModelsTechnical
- Preliminary Evaluation of the Test-Time Training Layers in Recommendation System (Student Abstract)Technical
- PriFold: Biological Priors Improve RNA Secondary Structure PredictionsTechnical
- Prior-Constrained Association Learning for Fine-Grained Generalized Category DiscoveryTechnical
- Prior-guided Hierarchical Harmonization Network for Efficient Image DehazingTechnical
- PrivDNFIS: Privacy-preserving and Efficient Deep Neuro-Fuzzy Inference SystemTechnical
- Privacy, Utility and Fairness: Navigating Trade-offs in Differentially Private Machine LearningTechnical
- Privacy-Preserving Low-Rank Adaptation Against Membership Inference Attacks for Latent Diffusion ModelsTechnical
- Privacy-Preserving V2X Collaborative Perception Integrating Unknown CollaboratorsTechnical
- Privacy-and-Utility-Aware Publishing of SchedulesTechnical
- ProPose: Probabilistic 3D Human Pose Estimation with Instance-Level Distribution and Normalizing FlowTechnical
- Proactive and Reactive Constraint Programming for Stochastic Project Scheduling with Maximal Time-LagsTechnical
- Probabilistic Forecasting of Irregularly Sampled Time Series with Missing Values via Conditional Normalizing FlowsTechnical
- Probabilistic Shielding for Safe Reinforcement LearningTechnical
- Probabilistic Strategy Logic with Degrees of ObservabilityTechnical
- Probability-Density-aware Semi-supervised LearningTechnical
- Procedure Knowledge Decoupled Distillation Strategy for Procedure Planning in Instructional VideosTechnical
- Progressive Distribution Matching for Federated Semi-Supervised LearningTechnical
- Progressive Self-Learning for Domain Adaptation on Symbolic Regression of Integer SequencesTechnical
- Promising Multi-Granularity Linguistic Steganography by Jointing Syntactic and Lexical ManipulationsTechnical
- Promoting Knowledge Base Question Answering by Directing LLMs to Generate Task-relevant Logical FormsTechnical
- Prompt Tuning In a Compact Attribute SpaceTechnical
- Prompt-SID: Learning Structural Representation Prompt via Latent Diffusion for Single Image DenoisingTechnical
- Prompt-based Unifying Inference Attack on Graph Neural NetworksTechnical
- PromptDet: A Lightweight 3D Object Detection Framework with LiDAR PromptsTechnical
- PromptHaze: Prompting Real-world Dehazing via Depth Anything ModelTechnical
- Proof Simulation via Round-based Strategy Extraction for QBFTechnical
- Proportionally Fair Makespan ApproximationTechnical
- Proportionally Fair Matching via Randomized RoundingTechnical
- ProsodyTalker: 3D Visual Speech Animation via Prosody DecompositionTechnical
- Protecting Model Adaptation from Trojans in the Unlabeled DataTechnical
- ProtoArgNet: Interpretable Image Classification with Super-Prototypes and ArgumentationTechnical
- ProtoCar: Learning 3D Vehicle Prototypes from Single-View and Unconstrained Driving Scene ImagesTechnical
- ProtoOcc: Accurate, Efficient 3D Occupancy Prediction Using Dual Branch Encoder-Prototype Query DecoderTechnical
- Prototype-Guided Multimodal Relation Extraction based on Entity AttributesTechnical
- Prototypical Replay with Old-class Focusing Knowledge Distillation for Incremental Named Entity RecognitionTechnical
- Provably Secure Image Robust Steganography via Cross-modal Error CorrectionTechnical
- Pseudo Informative Episode Construction for Few-Shot Class-Incremental LearningTechnical
- Public Opinion Field Effect and Hawkes Process Join Hands for Information Popularity PredictionTechnical
- Pushing the Limits of BFP on Narrow Precision LLM InferenceTechnical
- Q-MAML: Quantum Model-Agnostic Meta-Learning for Variational Quantum AlgorithmsTechnical
- QAagent: A Multiagent System for Unit Test Generation via Natural Language Pseudocode (Student Abstract)Technical
- QGen Studio: An Adaptive Question-Answer Generation, Training and Evaluation PlatformTechnical
- QiMLP: Quantum-inspired Multilayer Perceptron with Strong Correlation Mining and Parameter CompressionTechnical
- QiMeng-GEMM: Automatically Generating High-Performance Matrix Multiplication Code by Exploiting Large Language ModelsTechnical
- QuARF: Quality-Adaptive Receptive Fields for Degraded Image PerceptionTechnical
- Qua2SeDiMo: Quantifiable Quantization Sensitivity of Diffusion ModelsTechnical
- Quality over Quantity: Boosting Data Efficiency Through Ensembled Multimodal Data CurationTechnical
- Quantitative Predictive Monitoring and Control for Safe Human-Machine InteractionTechnical
- Quantum Best Arm Identification with Quantum OraclesTechnical
- Quantum-inspired Non-homologous Representation Constraint Mechanism for Long-tail Senses of Word Sense DisambiguationTechnical
- Queries, Representation & Detection: The Next 100 Model Fingerprinting SchemesTechnical
- Query Quantized Neural SLAMTechnical
- Query-centric Audio-Visual Cognition Network for Moment Retrieval, Segmentation and Step-CaptioningTechnical
- Query-efficient Attack for Black-box Image Inpainting Forensics via Reinforcement LearningTechnical
- Question-guided Insights Generation for Automated Exploratory Data AnalysisTechnical
- Quickest Detection of Adversarial Attacks Against Correlated EquilibriaTechnical
- R-DTI: Drug Target Interaction Prediction Based on Second-Order Relevance ExplorationTechnical
- RA-GAR: A Richly Annotated Benchmark for Gait Attribute RecognitionTechnical
- RA-SGG: Retrieval-Augmented Scene Graph Generation Framework via Multi-Prototype LearningTechnical
- RAGG: Retrieval-Augmented Grasp Generation ModelTechnical
- RAP-SR: RestorAtion Prior Enhancement in Diffusion Models for Realistic Image Super-ResolutionTechnical
- RATT: A Thought Structure for Coherent and Correct LLM ReasoningTechnical
- RAZOR: Sharpening Knowledge by Cutting Bias with Unsupervised Text RewritingTechnical
- RDPI: A Refine Diffusion Probability Generation Method for Spatiotemporal Data ImputationTechnical
- REGNav: Room Expert Guided Image-Goal NavigationTechnical
- REM: A Scalable Reinforced Multi-Expert Framework for Multiplex Influence MaximizationTechnical
- REPEAT: Improving Uncertainty Estimation in Representation Learning ExplainabilityTechnical
- RESQUE: Quantifying Estimator to Task and Distribution Shift for Sustainable Model ReusabilityTechnical
- REVECA: Adaptive Planning and Trajectory-Based Validation in Cooperative Language Agents Using Information Relevance and Relative ProximityTechnical
- RFL: Simplifying Chemical Structure Recognition with Ring-Free LanguageTechnical
- RILQ: Rank-Insensitive LoRA-Based Quantization Error Compensation for Boosting 2-Bit Large Language Model AccuracyTechnical
- RMath: A Logic Reasoning-Focused Datasets Toward Mathematical Multistep Reasoning TasksTechnical
- RP-PGD: Boosting Segmentation Robustness with a Region-and-Prototype Based Adversarial AttackTechnical
- RRT-MVS: Recurrent Regularization Transformer for Multi-View StereoTechnical
- RUNA: Object-Level Out-of-Distribution Detection via Regional Uncertainty Alignment of Multimodal RepresentationsTechnical
- R^2-Art: Category-Level Articulation Pose Estimation from Single RGB Image via Cascade Render StrategyTechnical
- Rapid Learning in Constrained Minimax Games with Negative MomentumTechnical
- Rare Event Detection in Imbalanced Multi-Class Datasets Using an Optimal MIP-Based Ensemble Weighting ApproachTechnical
- ReFF: Reinforcing Format Faithfulness in Language Models Across Varied TasksTechnical
- ReMask-Animate: Refined Character Image Animation Using Mask-Guided AdaptersTechnical
- ReMoGPT: Part-Level Retrieval-Augmented Motion-Language ModelsTechnical
- ReactGPT: Understanding of Chemical Reactions via In-Context TuningTechnical
- Ready for You When You Are Back: Content-Driven Session-Based Recommendation for Continuity of ExperienceTechnical
- Real-Time Calibration Model for Low-Cost Sensor in Fine-Grained Time SeriesTechnical
- Real-Time Neural Denoising with Render-Aware Knowledge DistillationTechnical
- Real-Time Object Detection and Skeletonization for Motion Prediction in Video StreamingTechnical
- RealPortrait: Realistic Portrait Animation with Diffusion TransformersTechnical
- Realizing AI for Impact: Towards Participatory Human-AI Collaboration for Water Conservation and Reproductive HealthTechnical
- Reasoning over Uncertain Text by Generative Large Language ModelsTechnical
- Reconsidering Feature Structure Information and Latent Space Alignment in Partial Multi-label Feature SelectionTechnical
- Reconstruction Target Matters in Masked Image Modeling for Cross-Domain Few-Shot LearningTechnical
- Recoverable Facial Identity Protection via Adaptive Makeup Transfer Adversarial AttacksTechnical
- Rectified Lagrangian for Out-of-Distribution Detection in Modern Hopfield NetworksTechnical
- Recursive Aggregates as Intensional Functions in Answer Set Programming: Semantics and Strong EquivalenceTechnical
- Reducing AUV Energy Consumption Through Dynamic Sensor Directions Switching via Deep Reinforcement LearningTechnical
- Reducing Divergence in Batch Normalization for Domain AdaptationTechnical
- Reducing Leximin Fairness to Utilitarian OptimizationTechnical
- RefDetector: A Simple Yet Effective Matching-based Method for Referring Expression ComprehensionTechnical
- Reference-Based Post-OCR Processing with LLM for Precise Diacritic Text in Historical Document RecognitionTechnical
- Refine then Classify: Robust Graph Neural Networks with Reliable Neighborhood Contrastive RefinementTechnical
- RegMixMatch: Optimizing Mixup Utilization in Semi-Supervised LearningTechnical
- Region-aware Difference Distilling with Attribute-guided Contrastive Regularization for Change CaptioningTechnical
- Reinforced Multi-teacher Knowledge Distillation for Efficient General Image Forgery Detection and LocalizationTechnical
- Reinforcement Active Client Selection for Federated Heterogeneous Graph LearningTechnical
- Reinforcement Learning Platform for Adversarial Black-box Attacks with Custom Distortion FiltersTechnical
- Relation Also Knows: Rethinking the Recall and Editing of Factual Associations in Auto-Regressive Transformer Language ModelsTechnical
- Relaxed Rotational Equivariance via G-Biases in VisionTechnical
- Reliable Uncertainty Quantification in Machine Learning via Conformal PredictionTechnical
- Relieving Universal Label Noise for Unsupervised Visible-Infrared Person Re-Identification by Inferring from NeighborsTechnical
- RemDet: Rethinking Efficient Model Design for UAV Object DetectionTechnical
- RepFace: Refining Closed-Set Noise with Progressive Label Correction for Face RecognitionTechnical
- RepeatLeakage: Leak Prompts from Repeating as Large Language Model Is a Good RepeaterTechnical
- Replacing Paths with Connection-Biased Attention for Knowledge Graph CompletionTechnical
- Replication-proof Bandit Mechanism Design with Bayesian AgentsTechnical
- Representation Learning Based Predicate Invention on Knowledge GraphsTechnical
- Representation Learning: A Causal PerspectiveTechnical
- Representation Space Augmentation for Effective Self-Supervised Learning on Tabular DataTechnical
- Representation-driven Option Discovery in Reinforcement LearningTechnical
- Representing Sounds as Neural Amplitude Fields: A Benchmark of Coordinate-MLPs and a Fourier Kolmogorov-Arnold FrameworkTechnical
- Reputation-aware Revenue Allocation for Auction-based Federated LearningTechnical
- Residual Diffusion Deblurring Model for Single Image Defocus DeblurringTechnical
- Resource Constrained Pathfinding with Enhanced Bidirectional A* SearchTechnical
- Responsibility-aware Strategic Reasoning in Probabilistic Multi-Agent SystemsTechnical
- Responsive Dynamic Graph Disentanglement for Metro Flow ForecastingTechnical
- Restabilizing Diffusion Models with Predictive Noise Fusion Strategy for Image Super-ResolutionTechnical
- Rethinking Byzantine Robustness in Federated Recommendation from Sparse Aggregation PerspectiveTechnical
- Rethinking High-speed Image Reconstruction Framework with Spike CameraTechnical
- Rethinking Masked Data Reconstruction Pretraining for Strong 3D Action Representation LearningTechnical
- Rethinking Transformer-Based Blind-Spot Network for Self-Supervised Image DenoisingTechnical
- Rethinking U-Net: Task-Adaptive Mixture of Skip Connections for Enhanced Medical Image SegmentationTechnical
- Rethinking and Improving Student Learning and Forgetting Processes for Attention based Knowledge Tracing ModelsTechnical
- Rethinking the Starting Point: Collaborative Pre-Training for Federated Downstream TasksTechnical
- RetouchGPT: LLM-based Interactive High-Fidelity Face Retouching via Imperfection PromptingTechnical
- Retrieval-Augmented Visual Question Answering via Built-in Autoregressive Search EnginesTechnical
- Retrieving Versus Understanding Extractive Evidence in Few-Shot LearningTechnical
- Revelations: A Decidable Class of POMDPs with Omega-Regular ObjectivesTechnical
- Reverse Distribution Based Video Moment Retrieval for Effective Bias EliminationTechnical
- Reverse Region-to-Entity Annotation for Pixel-Level Visual Entity LinkingTechnical
- Revisiting CAD Model Generation by Learning Raster SketchTechnical
- Revisiting Change Captioning from Self-supervised Global-Part AlignmentTechnical
- Revisiting Graph Contrastive Learning on Anomaly Detection: A Structural Imbalance PerspectiveTechnical
- Revisiting Interpolation for Noisy Label CorrectionTechnical
- Revisiting Tampered Scene Text Detection in the Era of Generative AITechnical
- Revolutionizing Encrypted Traffic Classification with MH-Net: A Multi-View Heterogeneous Graph ModelTechnical
- Rewind and Render: Towards Factually Accurate Text-to-Video Generation with Distilled Knowledge RetrievalTechnical
- Riemannian Geometric-based Meta LearningTechnical
- RingFormer: A Ring-Enhanced Graph Transformer for Organic Solar Cell Property PredictionTechnical
- Risk Controlled Image RetrievalTechnical
- Risk-averse Total-reward MDPs with ERM and EVaRTechnical
- RoDA: Robust Domain Alignment for Cross-Domain Retrieval Against Label NoiseTechnical
- RoPaSS: Robust Watermarking for Partial Screen-Shooting ScenariosTechnical
- Robots Learning Through Physical Interactive IntelligenceTechnical
- Robust Graph Based Social Recommendation Through Contrastive Multi-View LearningTechnical
- Robust Heterogeneous Graph Classification for Molecular Property Prediction with Information BottleneckTechnical
- Robust Image Hashing Based on Contrastive Masked Autoencoder with Weak-Strong Augmentation AlignmentTechnical
- Robust Logit Adjustment for Learning with Long-Tailed Noisy DataTechnical
- Robust Multi-Objective Preference Alignment with Online DPOTechnical
- Robust Self-Paced Hashing for Cross-Modal Retrieval with Noisy LabelsTechnical
- Robust and Adaptive AI Models for Medication Usage Forecasting Using ICD-9/10 Code (Student Abstract)Technical
- Robust and Consistent Online Video Instance Segmentation via Instance Mask PropagationTechnical
- Rule-Guided Graph Neural Networks for Explainable Knowledge Graph ReasoningTechnical
- S-INF: Towards Realistic Indoor Scene Synthesis via Scene Implicit Neural FieldTechnical
- S2S2: Semantic Stacking for Robust Semantic Segmentation in Medical ImagingTechnical
- SADBA: Self-Adaptive Distributed Backdoor Attack Against Federated LearningTechnical
- SAM-Aware Graph Prompt Reasoning Network for Cross-Domain Few-Shot SegmentationTechnical
- SAP: Corrective Machine Unlearning with Scaled Activation Projection for Label Noise RobustnessTechnical
- SAUGE: Taming SAM for Uncertainty-Aligned Multi-Granularity Edge DetectionTechnical
- SCANS: Mitigating the Exaggerated Safety for LLMs via Safety-Conscious Activation SteeringTechnical
- SCCS: Deep Neural Spectral Clustering for Self-Supervised Subcellular Structure SegmentationTechnical
- SDAS: Semantic Data Acquisition System for Minimizing Redundancy and Maximizing DiversityTechnical
- SEAS: Self-Evolving Adversarial Safety Optimization for Large Language ModelsTechnical
- SGDiff: Scene Graph Guided Diffusion Model for Image Collaborative SegCaptioningTechnical
- SGFormer: Semantic-Geometry Fusion Transformer for Multi-modal 3D Panoptic SegmentationTechnical
- SIDE: Socially Informed Drought Estimation Toward Understanding Societal Impact Dynamics of Environmental CrisisTechnical
- SIDL: A Real-World Dataset for Restoring Smartphone Images with Dirty LensesTechnical
- SIGMA: Selective Gated Mamba for Sequential RecommendationTechnical
- SIGraph: Saliency Image-Graph Network for Retinal Disease Classification in Fundus ImageTechnical
- SLACE: A Monotone and Balance-Sensitive Loss Function for Ordinal RegressionTechnical
- SLIP: Spoof-Aware One-Class Face Anti-Spoofing with Language Image PretrainingTechnical
- SLR-MVTC: Smooth Low-Rank Multi-View Tensor ClusteringTechnical
- SLRL: Semi-Supervised Local Community Detection Based on Reinforcement LearningTechnical
- SMLE: Safe Machine Learning via Embedded OverapproximationTechnical
- SMR-Net: Semantic-Guided Mutually Reinforcing Network for Cross-Modal Image Fusion and Salient Object DetectionTechnical
- SOLA-GCL: Subgraph-Oriented Learnable Augmentation Method for Graph Contrastive LearningTechnical
- SORREL: Suboptimal-Demonstration-Guided Reinforcement Learning for Learning to BranchTechnical
- SOVGaussian: Sparse-View 3D Gaussian Splatting for Open-Vocabulary Scene UnderstandingTechnical
- SPAC: Sparse Partitioning and Adaptive Core Tensor Pruning Model for Knowledge Graph CompletionTechnical
- SPACETIME: Causal Discovery from Non-Stationary Time SeriesTechnical
- SPASCA: Social Presence and Support with Conversational Agent for Persons Living with DementiaTechnical
- SPU-IMR: Self-supervised Arbitrary-scale Point Cloud Upsampling via Iterative Mask-recovery NetworkTechnical
- SR-FoT: A Syllogistic-Reasoning Framework of Thought for Large Language Models Tackling Knowledge-based Reasoning TasksTechnical
- SRDC: Semantics-based Ransomware Detection and Classification with LLM-assisted Pre-trainingTechnical
- SSAN: A Symbol Spatial-Aware Network for Handwritten Mathematical Expression RecognitionTechnical
- SSC-VAE: Structured Sparse Coding Based Variational Autoencoder for Detail Preserved Image ReconstructionTechnical
- SSE-SAM: Balancing Head and Tail Classes Gradually Through Stage-Wise SAMTechnical
- SSL-STMFormer Self-Supervised Learning Spatio-Temporal Entanglement Transformer for Traffic Flow PredictionTechnical
- SSLFusion: Scale and Space Aligned Latent Fusion Model for Multimodal 3D Object DetectionTechnical
- SSUN-Net: Spatial-Spectral Prior-Aware Unfolding Network for Pan-SharpeningTechnical
- ST-FiT: Inductive Spatial-Temporal Forecasting with Limited Training DataTechnical
- ST-ReP: Learning Predictive Representations Efficiently for Spatial-Temporal ForecastingTechnical
- STAMPsy: Towards SpatioTemporal-Aware Mixed-Type Dialogues for Psychological CounselingTechnical
AAAI accepted papers in other years
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