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
- TIV-Diffusion: Towards Object-Centric Movement for Text-driven Image to Video GenerationTechnical1 citations
- TPCH: Tensor-interacted Projection and Cooperative Hashing for Multi-view ClusteringTechnical1 citations
- TRACE-CS: A Synergistic Approach to Explainable Course Scheduling Using LLMs and LogicTechnical1 citations
- Taylor Series-Inspired Local Structure Fitting Network for Few-shot Point Cloud Semantic SegmentationTechnical1 citations
- Test-Time Adaptation on Noisy Data via Model-Pruning-Based Filtering and Flatness-Aware Entropy MinimizationTechnical1 citations
- Text Proxy: Decomposing Retrieval from a 1-to-N Relationship into N 1-to-1 Relationships for Text-Video RetrievalTechnical1 citations
- Text2Data: Low-Resource Data Generation with Textual ControlTechnical1 citations
- Text2Relight: Creative Portrait Relighting with Text GuidanceTechnical1 citations
- Textured Mesh Saliency: Bridging Geometry and Texture for Human Perception in 3D GraphicsTechnical1 citations
- The Cost Perspective of Liquid Democracy: Feasibility and ControlTechnical1 citations
- The Distortion of Public-Spirited Participatory BudgetingTechnical1 citations
- The Illusion of Empathy: How AI Chatbots Shape Conversation PerceptionTechnical1 citations
- The Partially Observable Off-Switch GameTechnical1 citations
- The Unreasonable Effectiveness of Open Science in AI: A Replication StudyTechnical1 citations
- Thought-Path Contrastive Learning via Premise-Oriented Data Augmentation for Logical Reading ComprehensionTechnical1 citations
- Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph ClassificationsTechnical1 citations
- Till the Layers Collapse: Compressing a Deep Neural Network Through the Lenses of Batch Normalization Layers.Technical1 citations
- TimePFN: Effective Multivariate Time Series Forecasting with Synthetic DataTechnical1 citations
- Toward Adaptive Large Language Models Structured Pruning via Hybrid-grained Weight Importance AssessmentTechnical1 citations
- Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIPTechnical1 citations
- Towards Efficient Collaboration via Graph Modeling in Reinforcement LearningTechnical1 citations
- Towards Trustable SHAP ScoresTechnical1 citations
- Training with “Paraphrasing the Original Text” Teaches LLM to Better Retrieve in Long-Context TasksTechnical1 citations
- Training-Free Image Manipulation Localization Using Diffusion ModelsTechnical1 citations
- Transferable Adversarial Face Attack with Text Controlled AttributeTechnical1 citations
- Transtreaming: Adaptive Delay-aware Transformer for Real-time Streaming PerceptionTechnical1 citations
- Trigger3:Refining Query Correction via Adaptive Model SelectorTechnical1 citations
- Undermining Mental Proof: How AI Can Make Cooperation Harder by Making Thinking EasierTechnical1 citations
- Understanding Emotional Body Expressions via Large Language ModelsTechnical1 citations
- UniDemoiré: Towards Universal Image Demoiréing with Data Generation and SynthesisTechnical1 citations
- Unpaired Multi-Domain Histopathology Virtual Staining Using Dual Path Prompted InversionTechnical1 citations
- Unveiling the Threat of Fraud Gangs to Graph Neural Networks: Multi-Target Graph Injection Attacks Against GNN-Based Fraud DetectorsTechnical1 citations
- UrbanVLP: Multi-Granularity Vision-Language Pretraining for Urban Socioeconomic Indicator PredictionTechnical1 citations
- VProChart: Answering Chart Question Through Visual Perception Alignment Agent and Programmatic Solution ReasoningTechnical1 citations
- VarDrop: Enhancing Training Efficiency by Reducing Variate Redundancy in Periodic Time Series ForecastingTechnical1 citations
- ViPCap: Retrieval Text-Based Visual Prompts for Lightweight Image CaptioningTechnical1 citations
- Video Anomaly Detection with Motion and Appearance Guided Patch Diffusion ModelTechnical1 citations
- WPMixer: Efficient Multi-Resolution Mixing for Long-Term Time Series ForecastingTechnical1 citations
- Walk Wisely on Graph: Knowledge Graph Reasoning with Dual Agents via Efficient Guidance-ExplorationTechnical1 citations
- When Can We Approximate Wide Contrastive Models with Neural Tangent Kernels and Principal Component Analysis?Technical1 citations
- When Hypergraph Meets Heterophily: New Benchmark Datasets and BaselineTechnical1 citations
- When Should We Prefer State-to-Visual DAgger over Visual Reinforcement Learning?Technical1 citations
- Why Does Dropping Edges Usually Outperform Adding Edges in Graph Contrastive Learning?Technical1 citations
- Windowed MAPF with Completeness GuaranteesTechnical1 citations
- Witty: An Efficient Solver for Computing Minimum-Size Decision TreesTechnical1 citations
- Zero-resource Hallucination Detection for Text Generation via Graph-based Contextual Knowledge Triples ModelingTechnical1 citations
- Zero-shot Video Restoration and Enhancement Using Pre-Trained Image Diffusion ModelTechnical1 citations
- ZeroMamba: Exploring Visual State Space Model for Zero-Shot LearningTechnical1 citations
- p-Mean Regret for Stochastic BanditsTechnical1 citations
- “From Unseen Needs to Classroom Solutions”: Exploring AI Literacy Challenges & Opportunities with Project-Based Learning Toolkit in K-12 EducationTechnical1 citations
- (Almost Full) EFX for Three (and More) Types of AgentsTechnical
- 2-in-1 Phishing Detection via Large LM Distillation and Small LM Perturbation (Student Abstract)Technical
- 3CAD: A Large-Scale Real-World 3C Product Dataset for Unsupervised Anomaly DetectionTechnical
- 3D Annotation-Free Learning by Distilling 2D Open-Vocabulary Segmentation Models for Autonomous DrivingTechnical
- 3D Measurement of Complex Textured Objects Based on Bidirectional Fringe ProjectionTechnical
- 3D-aware Select, Expand, and Squeeze Token for Aerial Action RecognitionTechnical
- 3DHumanEdit: Multi-modal Body Part-aware Conditioning Information Integration for 3D Human ManipulationTechnical
- 3DPGS: 3D Probabilistic Graph Search for Archaeological Piece GroupingTechnical
- 3D²-Actor: Learning Pose-Conditioned 3D-Aware Denoiser for Realistic Gaussian Avatar ModelingTechnical
- 3M-Game: Multi-Modal Multi-Task Multi-Teacher Learning for Game Event Detection (Student Abstract)Technical
- 3SAT: A Simple Self-Supervised Adversarial Training FrameworkTechnical
- 4D Diffusion for Dynamic Protein Structure Prediction with Reference and Motion GuidanceTechnical
- A (1+?)-Approximation for Ultrametric Embedding in Subquadratic TimeTechnical
- A Black-Box Evaluation Framework for Semantic Robustness in Bird’s Eye View DetectionTechnical
- A Compact Implicit Neural Representation for Efficient Storage of Massive 4D Functional Magnetic Resonance ImagingTechnical
- A Compact Model for Mathematics Problem Representations Distilled from BERTTechnical
- A Complete Algorithm for Optimization Modulo Nonlinear Real ArithmeticTechnical
- A Computationally Grounded Framework for Cognitive AttitudesTechnical
- A Continuous-time Tractable Model for Present-biased AgentsTechnical
- A Deep Learning Method for Document Shadow Removal with Sobel Prior under Mask SupervisionTechnical
- A Deep Probabilistic Framework for Continuous Time Dynamic Graph GenerationTechnical
- A Denoising Pre-training Framework for Accelerating Novel Material DiscoveryTechnical
- A Diffusion-Based Framework for Occluded Object MovementTechnical
- A Gaussian Filter-Based 3D Registration Method for Series Section Electron MicroscopyTechnical
- A Generalizable Anomaly Detection Method in Dynamic GraphsTechnical
- A Generative Approach at the Instance-Level for Image Segmentation Under Limited Training Data Conditions (Student Abstract)Technical
- A High-Efficiency Federated Learning Method Using Complementary Pruning for D2D Communication (Student Abstract)Technical
- A Hybrid Approach for Visual Recognition of Object StatesTechnical
- A Hybrid Framework for Airfoil Optimization: Combining PINNs and Genetic Algorithm (Student Abstract)Technical
- A Knowledge Distillation-Based Approach to Enhance Transparency of Classifier ModelsTechnical
- A Label-free Heterophily-guided Approach for Unsupervised Graph Fraud DetectionTechnical
- A Layer Selection Approach to Test Time AdaptationTechnical
- A Lightweight Sparse Interaction Network for Time Series ForecastingTechnical
- A Logical Analysis of HanabiTechnical
- A Lottery Ticket Hypothesis Approach with Sparse Fine-tuning and MAE for Image Forgery Detection and LocalizationTechnical
- A Matching-Based Algorithm for the Traveling Tournament ProblemTechnical
- A Modal Logic for Joint Abilities of Structured Strategies with Bounded ComplexityTechnical
- A Modal Logic of Optimality (Student Abstract)Technical
- A Multi-Focus-Driven Multi-Branch Network for Robust Multimodal Sentiment AnalysisTechnical
- A Multi-Style Chinese Characters Writing Intelligent Tool Based on Small-scale Training DataTechnical
- A New Adversarial Perspective for LiDAR-based 3D Object DetectionTechnical
- A New Federated Learning Framework Against Gradient Inversion AttacksTechnical
- A New Formula for Sticker Retrieval: Reply with Stickers in Multi-Modal and Multi-Session ConversationTechnical
- A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training DatasetTechnical
- A Plug-and-Play Bregman ADMM Module for Inferring Event Branches in Temporal Point ProcessesTechnical
- A Practical Approach to Causal Inference over TimeTechnical
- A Privacy-Preserving Framework for Generative Model-driven Synthetic DatasetsTechnical
- A Renormalization Group Framework for Scale-Invariant Feature Learning in Deep Neural Networks (Student Abstract)Technical
- A Robust Prototype-Based Network with Interpretable RBF Classifier FoundationsTechnical
- A Sample-Level Evaluation and Generative Framework for Model Inversion AttacksTechnical
- A Similarity Paradigm Through Textual Regularization Without ForgettingTechnical
- A Simple and Comprehensive Benchmark for Single-Cell TranscriptomicsTechnical
- A Spatio-temporal Cluster-aware Supervised Learning Framework for Predicting County-level Drug Overdose DeathsTechnical
- A Stochastic Approach to Bi-Level Optimization for Hyperparameter Optimization and Meta LearningTechnical
- A Syntactic Approach to Computing Complete and Sound Abstraction in the Situation CalculusTechnical
- A Systematic Exploration of Knowledge Graph Alignment with Large Language Models in Retrieval Augmented GenerationTechnical
- A Theoretical Framework for an Efficient Normalizing Flow-Based Solution to the Electronic Schrödinger EquationTechnical
- A Theory of Formalisms for Representing KnowledgeTechnical
- A Thorough Comparison Between Independent Cascade and Susceptible-Infected-Recovered ModelsTechnical
- A Training-free Synthetic Data Selection Method for Semantic SegmentationTechnical
- A Trusted Lesion-assessment Network for Interpretable Diagnosis of Coronary Artery Disease in Coronary CT AngiographyTechnical
- A Unified Degradation-Robust Approach to SSL and UDA for 3D Medical ImagesTechnical
- A Unified Framework for Human-Allied Learning of Probabilistic CircuitsTechnical
- A Unified Loss for Handling Inter-Class and Intra-Class Imbalance in Medical Image SegmentationTechnical
- A Unified Model of Direct and Indirect Reciprocity in Multichannel GamesTechnical
- A Unifying Information-theoretic Perspective on Evaluating Generative ModelsTechnical
- A Variable Occurrence-Centric Framework for Inconsistency HandlingTechnical
- A Video-grounded Dialogue Dataset and Metric for Event-driven ActivitiesTechnical
- A Wiener Process Perspective on Local Intrinsic Dimension Estimation MethodsTechnical
- AAKR: Adversarial Attack-based Knowledge Retention for Continual Semantic SegmentationTechnical
- ABC3: Active Bayesian Causal Inference with Cohn Criteria in Randomized ExperimentsTechnical
- ACCon: Angle-Compensated Contrastive Regularizer for Deep RegressionTechnical
- AD4CD: Causal-Guided Anomaly Detection for Enhancing Cognitive DiagnosisTechnical
- ADBA: Approximation Decision Boundary Approach for Black-Box Adversarial AttacksTechnical
- ADELA: Accelerating Evolutionary Design of Machine Learning Pipelines with the Accompanying Surrogate ModelTechnical
- AFFAKT: A Hierarchical Optimal Transport Based Method for Affective Facial Knowledge Transfer in Video Deception DetectionTechnical
- AFiRe: Anatomy-Driven Self-Supervised Learning for Fine-Grained Representation in Radiographic ImagesTechnical
- AI Governance and Lessons Learned as an AI Policy Advisor in the United States SenateTechnical
- AI Toolkit: Libraries and Essays for Exploring the Technology and Ethics Behind AITechnical
- AI-Driven Multicultural Identity PreservationTechnical
- AI-Driven Personalized Fall Prevention for Older AdultsTechnical
- AI-Powered Algorithm-Centric Quantum Processor Topology DesignTechnical
- AI-generated Image Quality Assessment in Visual CommunicationTechnical
- AIA: Autoregression-Based Injection Attacks Against Text2SQL ModelsTechnical
- AIM: Additional Image Guided Generation of Transferable Adversarial AttacksTechnical
- AIQViT: Architecture-Informed Post-Training Quantization for Vision TransformersTechnical
- AIR: Unifying Individual and Collective Exploration in Cooperative Multi-Agent Reinforcement LearningTechnical
- ALADE-SNN: Adaptive Logit Alignment in Dynamically Expandable Spiking Neural Networks for Class Incremental LearningTechnical
- ALLVB: All-in-One Long Video Understanding BenchmarkTechnical
- ALRMR-GEC: Adjusting Learning Rate Based on Memory Rate to Optimize the Edit Scorer for Grammatical Error CorrectionTechnical
- ALTBI: Constructing Improved Outlier Detection Models via Optimization of Inlier-Memorization EffectTechnical
- APAR: Modeling Irregular Target Functions in Tabular Regression via Arithmetic-Aware Pre-Training and Adaptive-Regularized Fine-TuningTechnical
- APIRL: Deep Reinforcement Learning for REST API FuzzingTechnical
- APKGC: Noise-enhanced Multi-Modal Knowledge Graph Completion with Attention PenaltyTechnical
- APR-RD: Complemental Two Steps for Self-Supervised Real Image DenoisingTechnical
- AQUAFace: Age-Invariant Quality Adaptive Face Recognition for Unconstrained Selfie vs ID VerificationTechnical
- ARNet: Self-Supervised FG-SBIR with Unified Sample Feature Alignment and Multi-Scale Token RecyclingTechnical
- ARTICLE: Annotator Reliability Through In-Context LearningTechnical
- ARTICLE: Annotator Reliability Through In-Context Learning (Student Abstract)Technical
- AS-Det: Active Sampling for Adaptive 3D Object Detection in Point CloudsTechnical
- ASP-Driven Emergency Planning for Norm Violations in Reinforcement LearningTechnical
- AUTE: Peer-Alignment and Self-Unlearning Boost Adversarial Robustness for Training Ensemble ModelsTechnical
- Accelerated Diffusion via High-Low Frequency Decomposition for Pan-SharpeningTechnical
- Accessible Hardware Implementation for Multi-Agent Collective ConstructionTechnical
- Accounting for Spatial Variability with the Histogram of Oriented Gradients Based Masking Improves Performance of Masked Autoencoder over Hyperspectral Satellite Imagery (Student Abstract)Technical
- Accurate Estimation of Feature Importance Faithfulness for Tree ModelsTechnical
- Accurate Nucleic Acid-Binding Residue Identification Based Domain-Adaptive Protein Language Model and Explainable Geometric Deep LearningTechnical
- Achieving Balanced Representation in School Choice with Diversity GoalsTechnical
- Achieving Ensemble-Like Performance in a Single Model: A Feature Diversification Framework for Image-Text MatchingTechnical
- Achieving Lightweight Super-Resolution for Real-Time Computer GraphicsTechnical
- Achieving Speed-Accuracy Balance in Vision-based 3D Occupancy Prediction via Geometric-Semantic DisentanglementTechnical
- Acoustic-to-Hyper-Spectral: Hyper-Spectral Image Construction from Frequency Spectrums Through Simulated Annealing (Student Abstract)Technical
- Acting Beyond Learning: Imagination-Assisted Decision-Making in the Visual-based Multi-Agent Cooperative ScenariosTechnical
- Active Fourier Auditor for Estimating Distributional Properties of ML ModelsTechnical
- Active Geospatial Search for Efficient Tenant Eviction OutreachTechnical
- Active Reinforcement Learning Strategies for Offline Policy ImprovementTechnical
- Active Symbolic Discovery of Ordinary Differential Equations via Phase Portrait SketchingTechnical
- AdaCo: Overcoming Visual Foundation Model Noise in 3D Semantic Segmentation via Adaptive Label CorrectionTechnical
- AdaDPCC: Adaptive Rate Control and Rate-Distortion-Complexity Optimization for Dynamic Point Cloud CompressionTechnical
- AdaDiff: Adaptive Step Selection for Fast Diffusion ModelsTechnical
- AdaGK-SGD: Adaptive Global Knowledge Guided Distributed Stochastic Gradient DescentTechnical
- AdaO2B: Adaptive Online to Batch Conversion for Out-of-Distribution GeneralizationTechnical
- AdaSkip: Adaptive Sublayer Skipping for Accelerating Long-Context LLM InferenceTechnical
- Adaptive Agents for Mixed-Initiative Human-AI CollaborationsTechnical
- Adaptive Dataset QuantizationTechnical
- Adaptive Decision Boundary for Few-Shot Class-Incremental LearningTechnical
- Adaptive Dual Guidance Knowledge DistillationTechnical
- Adaptive Dual-domain Learning for Underwater Image EnhancementTechnical
- Adaptive Experimental Design to Accelerate Scientific Discovery and Engineering DesignTechnical
- Adaptive Few-shot Prompting for Machine Translation with Pre-trained Language ModelsTechnical
- Adaptive Manipulation for Coalitions in Knockout TournamentsTechnical
- Adaptive Market Making with Inventory Constraints via Online LearningTechnical
- Adaptive Merchant-Centric Risk Control via Unbiased Decision-Making and Dynamic Optimization in E-CommerceTechnical
- Adaptive Multi-Faceted Service Capabilities Co-Prediction for Nationwide Terminal Stations in LogisticsTechnical
- Adaptive Multimodal Fusion: Dynamic Attention Allocation for Intent RecognitionTechnical
- Adaptive Prompt-Based Semantic Embedding with Inspire Potential of Implicit Knowledge for Cross-Modal RetrievalTechnical
- Adaptive Sampling to Reduce Epistemic Uncertainty Using Prediction Interval-Generation Neural NetworksTechnical
- Adaptive Siamese Masked Autoencoder with Global Optimization for Unsupervised Point Cloud Shape CorrespondenceTechnical
- Adaptive Wavelet-Positional Encoding for High-Frequency Information Learning in Implicit Neural RepresentationTechnical
- Adaptive-Grained Label Distribution LearningTechnical
- Addressing Cold-Start Problem in Click-Through Rate Prediction via Supervised Diffusion ModelingTechnical
- Addressing Multi-Label Learning with Partial Labels: From Sample Selection to Label SelectionTechnical
- AdvDisplay: Adversarial Display Assembled by Thermoelectric Cooler for Fooling Thermal Infrared DetectorsTechnical
- Advancements in AI for Reasoning with Complex DataTechnical
- Advancing Audio-Based Text Generation with Imbalance Preference OptimizationTechnical
- Advancing Comprehensive Aesthetic Insight with Multi-Scale Text-Guided Self-Supervised LearningTechnical
- Advancing Intelligent Software Development and Trustworthy Models Through the Synergy of Software Engineering and LLMsTechnical
- Advancing Loss Functions in Recommender Systems: A Comparative Study with a Rényi Divergence-Based SolutionTechnical
- Advancing Medical Multimodal Learning and Data Generation with Diffusion Model and LLMTechnical
- Advancing Research on Equitable AI Education Through a Focus on Implementation: Insights from a Middle School Computer Vision Module Beta-TestTechnical
- Advancing Retrosynthesis with Retrieval-Augmented Graph GenerationTechnical
- Adversarial Attacks on Event-Based Pedestrian Detectors: A Physical ApproachTechnical
- Adversarial Contrastive Graph Augmentation with Counterfactual RegularizationTechnical
- Adversarial Contrastive Graph Masked AutoEncoder Against Graph Structure and Feature Dual AttacksTechnical
- Adversarial Learning Under Hybrid Perturbations for Robust Acute Lymphoblastic Leukemia ClassificationTechnical
- Adversarial-Inspired Backdoor Defense via Bridging Backdoor and Adversarial AttacksTechnical
- Adversity-aware Few-shot Named Entity Recognition via Augmentation LearningTechnical
- AeroGTO: An Efficient Graph-Transformer Operator for Learning Large-Scale Aerodynamics of 3D Vehicle GeometriesTechnical
- Aerodynamic Coefficients Prediction via Cross-Attention Fusion and Physical-Informed TrainingTechnical
- Affirm: Interactive Mamba with Adaptive Fourier Filters for Long-term Time Series ForecastingTechnical
- Agent Trajectory Explorer: Visualizing and Providing Feedback on Agent TrajectoriesTechnical
- Agent-Aware Training for Agent-Agnostic Action Advising in Deep Reinforcement LearningTechnical
- Agentic AI for Digital TwinTechnical
- Algorithm Selection for Word-Level Hardware Model Checking (Student Abstract)Technical
- Align-Pro: A Principled Approach to Prompt Optimization for LLM AlignmentTechnical
- Aligning Composed Query with Image via Discriminative Perception from Negative CorrespondencesTechnical
- Aligning Instance Brownian Bridge with Texts for Open-Vocabulary Video Instance SegmentationTechnical
- Aligning Time-series by Local Trends: Applications in Public HealthTechnical
- Aligning and Prompting Anything for Zero-Shot Generalized Anomaly DetectionTechnical
- Alignment of CNN and Human Judgments of Geometric and Topological ConceptsTechnical
- Alignment-Free RGB-T Salient Object Detection: A Large-Scale Dataset and Progressive Correlation NetworkTechnical
- All You Need Is S P A C E: When Jailbreaking Meets Bias Audit and Reveals What Lies Beneath the Guardrails (Student Abstract)Technical
- All You Need in Knowledge Distillation Is a Tailored Coordinate SystemTechnical
- Alleviating Dual Biases in Recommendation (Student Abstract)Technical
- Alleviating Performance Disparity in Adversarial Spatiotemporal Graph Learning Under Zero-Inflated DistributionTechnical
- Alleviating Shifted Distribution in Human Preference Alignment through Meta-LearningTechnical
- Ambiguity-Restrained Text-Video Representation Learning for Partially Relevant Video RetrievalTechnical
- Ambiguous Instance-Aware Contrastive Network with Multi-Level Matching for Multi-View Document ClusteringTechnical
- Amplifier: Bringing Attention to Neglected Low-Energy Components in Time Series ForecastingTechnical
- An Algebraic Notion of Conditional Independence, and Its Application to Knowledge RepresentationTechnical
- An Alternative Theory of Stable Revision for Nondeterministic Approximation Fixpoint Theory and the RelationshipsTechnical
- An And-Sum Circuit with Signed Edges That Is More Succinct than SDDTechnical
- An Automated Explainable Educational Assessment System Built on LLMsTechnical
- An Automatic Sound and Complete Abstraction Method for Generalized Planning with Baggable TypesTechnical
- An Efficient Framework for Enhancing Discriminative Models via Diffusion TechniquesTechnical
- An Efficient and Accurate Dynamic Sparse Training Framework Based on Parameter-FreezingTechnical
- An Elite-guided Weighted Simulated Annealing Algorithm for the Clique Partitioning ProblemTechnical
- An Enhanced Levenberg--Marquardt Method via Gram ReductionTechnical
- An Evaluation of Approaches to Train Embeddings for Logical Inference (Student Abstract)Technical
- An Evolutionary Perspective on AI Alignment (Student Abstract)Technical
- An Exemplar-based Framework for Chinese Text RecognitionTechnical
- An Expert System for Danish Traffic Law Cases (Student Abstract)Technical
- An Extension-Based Argument-Ranking Semantics: Social Rankings in Abstract ArgumentationTechnical
- An Information-theoretic Multi-task Representation Learning Framework for Natural Language UnderstandingTechnical
- An LLM-Empowered Adaptive Evolutionary Algorithm for Multi-Component Deep Learning SystemsTechnical
- An LLM-Guided Tutoring System for Social Skills TrainingTechnical
- An Open-Ended Learning Framework for Opponent ModelingTechnical
- An Optimal Transport-based Latent Mixer for Robust Multi-modal LearningTechnical
- An XAI Social Media Platform for Teaching K-12 Students AI-Driven Profiling, Clustering, and Engagement-Based RecommendingTechnical
- Analytical-Chemistry-Informed Transformer for Infrared Spectra ModelingTechnical
- Anatomical Knowledge Mining and Matching for Semi-supervised Medical Multi-structure DetectionTechnical
- Anchor Learning with Potential Cluster Constraints for Multi-view ClusteringTechnical
- Anchor Search: A Unified Framework for Suboptimal Bidirectional SearchTechnical
- AnchorInv: Few-Shot Class-Incremental Learning of Physiological Signals via Feature Space-Guided InversionTechnical
- Answering Conjunctive Queries with Safe Negation and Inequalities over RDFS Knowledge BasesTechnical
- Anti-Diffusion: Preventing Abuse of Modifications of Diffusion-Based ModelsTechnical
- AnyTalk: Multi-modal Driven Multi-domain Talking Head GenerationTechnical
- Anywhere: A Multi-Agent Framework for User-Guided, Reliable, and Diverse Foreground-Conditioned Image GenerationTechnical
- AoI-MDP: An AoI Optimized Markov Decision Process Dedicated in the Underwater Task (Student Abstract)Technical
- AoP-SAM: Automation of Prompts for Efficient SegmentationTechnical
- Apollo-Forecast: Overcoming Aliasing and Inference Speed Challenges in Language Models for Time Series ForecastingTechnical
- Approximate Bilevel Difference Convex Programming for Bayesian Risk Markov Decision ProcessesTechnical
- Approximate State Abstraction for Markov GamesTechnical
- Approximated Variational Bayesian Inverse Reinforcement Learning for Large Language Model AlignmentTechnical
- Approximating Optimal Labelings for Temporal ConnectivityTechnical
- Are Expressive Models Truly Necessary for Offline RL?Technical
- Are Key-Phrases All That Reviewers Care About? A Comprehensive Benchmarking of Reviewer Matchmaking SystemsTechnical
- Argumentative Large Language Models for Explainable and Contestable Claim VerificationTechnical
- Artificial Intelligence for Future Presidents: Teaching AI Literacy to EveryoneTechnical
- As Pseudo-Label Free as Possible: Leveraging Adaptive Feature Generation for Sparsely Annotated Object DetectionTechnical
- Aspect Enhancement and Text Simplification in Multimodal Aspect-Based Sentiment Analysis for Multi-Aspect and Multi-Sentiment ScenariosTechnical
- Assessing Pre-Trained Models for Transfer Learning Through Distribution of Spectral ComponentsTechnical
- Assessing Vulnerabilities in State-of-the-Art Large Language Models Through Hex Injection (Student Abstract)Technical
- Assessing the Creativity of LLMs in Proposing Novel Solutions to Mathematical ProblemsTechnical
- Assessing the Impact of Population Data Domain Differences on Transfer Learning in P300-based Brain-Computer Interfaces (Student Abstract)Technical
- Association Pattern-enhanced Molecular Representation LearningTechnical
- Asymmetric Cross-Modal Hashing Based on Formal Concept AnalysisTechnical
- Asymmetric Hierarchical Difference-aware Interaction Network for Event-guided Motion DeblurringTechnical
- Asymmetric Learning for Spectral Graph Neural NetworksTechnical
- Asymmetric Reinforcing Against Multi-Modal Representation BiasTechnical
- Asymmetric Visual Semantic Embedding Framework for Efficient Vision-Language AlignmentTechnical
- Asymptotic Extinction in Large Coordination GamesTechnical
- Asymptotic Unbiased Sample Sampling to Speed Up Sharpness-Aware MinimizationTechnical
- AsyncDSB: Schedule-Asynchronous Diffusion Schrödinger Bridge for Image InpaintingTechnical
- Asynchronous Distributed Gaussian Process RegressionTechnical
- AtomNet: Designing Tiny Models from Operators Under Extreme MCU ConstraintsTechnical
- Attack on Prompt: Backdoor Attack in Prompt-Based Continual LearningTechnical
- Attack-inspired Calibration Loss for Calibrating Crack RecognitionTechnical
- Attend and Enrich: Enhanced Visual Prompt for Zero-Shot LearningTechnical
- Attention-Driven GUI Grounding: Leveraging Pretrained Multimodal Large Language Models Without Fine-TuningTechnical
- Attention-Imperceptible Backdoor Attacks on Vision TransformersTechnical
- Attribute Inference Attacks for Federated Regression TasksTechnical
- Attributive Reasoning for Hallucination Diagnosis of Large Language ModelsTechnical
- Audience Engagement with Political Messaging on YouTube Shorts (Student Abstract)Technical
- Audio-Visual Adaptive Fusion Network for Question Answering Based on Contrastive LearningTechnical
- AudioGenX: Explainability on Text-to-Audio Generative ModelsTechnical
- Auditing and Enforcing Conditional Fairness via Optimal TransportTechnical
- Augmented Lagrangian Risk-constrained Reinforcement Learning for Portfolio Optimization (Student Abstract)Technical
- Augmenting Online Algorithms for Knapsack Problem with Total Weight InformationTechnical
- Auto Encoding Neural Process for Multi-interest RecommendationTechnical
- Auto-Regressive Diffusion for Generating 3D Human-Object InteractionsTechnical
- Auto-Regressive Moving Diffusion Models for Time Series ForecastingTechnical
- AutoFEA: Enhancing AI Copilot by Integrating Finite Element Analysis Using Large Language Models with Graph Neural NetworksTechnical
- AutoMV: An Autonomous Agent Framework for Real Estate Marketing Video GenerationTechnical
- AutoSciLab: A Self-Driving Laboratory for Interpretable Scientific DiscoveryTechnical
- Automated Assessment of Student Self-Explanation in Code Comprehension Using Pre-Trained Language ModelsTechnical
- Automated Creation of Reusable and Diverse Toolsets for Enhancing LLM ReasoningTechnical
- Automated, Interpretable, and Scalable Scientific Machine LearningTechnical
- Automatic Selection of Macro-Events for Heuristic-Search Temporal PlanningTechnical
- Automatic Summarization of Long Documents (Student Abstract)Technical
- Automating the Expansion of Instrument Typicals in Piping and Instrumentation Diagrams (P&IDs)Technical
- Autonomous Option Invention for Continual Hierarchical Reinforcement Learning and PlanningTechnical
- BEE: Metric-Adapted Explanations via Baseline Exploration-ExploitationTechnical
- BERT-Based Code Learning for Exception Localization and Type PredictionTechnical
- BEVSync: Asynchronous Data Alignment for Camera-based Vehicle-Infrastructure Cooperative Perception Under Uncertain DelaysTechnical
- BGDB: Bernoulli-Gaussian Decision Block with Improved Denoising Diffusion Probabilistic ModelsTechnical
- BGHR: Bridging the Gap Between HBox-Supervised and RBox-Supervised Oriented Object Detection via Adaptive Fine-Grained Sample MiningTechnical
- BIG-FUSION: Brain-Inspired Global-Local Context Fusion Framework for Multimodal Emotion Recognition in ConversationsTechnical
- BOIDS: High-Dimensional Bayesian Optimization via Incumbent-Guided Direction Lines and Subspace EmbeddingsTechnical
- BSAFusion: A Bidirectional Stepwise Feature Alignment Network for Unaligned Medical Image FusionTechnical
- BSDB-Net: Band-Split Dual-Branch Network with Selective State Spaces Mechanism for Monaural Speech EnhancementTechnical
- BUFF: Bayesian Uncertainty Guided Diffusion Probabilistic Model for Single Image Super-ResolutionTechnical
- Back to the Future of Integrated Robot SystemsTechnical
- Backdoor Attack on Propagation-based Rumor DetectorsTechnical
- Backdoor Token Unlearning: Exposing and Defending Backdoors in Pretrained Language ModelsTechnical
- Bad AI, Good AI: Rethinking the Agency of Our Artificial TeammatesTechnical
- Bagging-Expert Network for Multi-Task Learning: A Depolarization Solution in Multi-Gate Mixture-of-ExpertsTechnical
- Balanced Adaptive Subspace Collaboration for Mixed Pareto-Lexicographic Multi-Objective Problems with Priority LevelsTechnical
- Balancing Privacy and Performance: A Many-in-One Approach for Image AnonymizationTechnical
- Batch Selection for Multi-Label Classification Guided by Uncertainty and Dynamic Label CorrelationsTechnical
- Battling the Non-stationarity in Time Series Forecasting via Test-time AdaptationTechnical
- BayesCNS: A Unified Bayesian Approach to Address Cold Start and Non-Stationarity in Search Systems at ScaleTechnical
- Bayesian Optimization for Unknown Cost-Varying Variable Subsets with No-Regret CostsTechnical
- Bayesian Persuasion with Externalities: Exploiting Agent TypesTechnical
- BeFA: A General Behavior-driven Feature Adapter for Multimedia RecommendationTechnical
- BearLLM: A Prior Knowledge-Enhanced Bearing Health Management Framework with Unified Vibration Signal RepresentationTechnical
- Behavior Importance-Aware Graph Neural Architecture Search for Cross-Domain RecommendationTechnical
- Behaviour Preference Regression for Offline Reinforcement LearningTechnical
- Better Understandings and Configurations in MaxSAT Stochastic Local Search Solvers via Anytime Performance AnalysisTechnical
- Beyond Accuracy: On the Effects of Fine-Tuning Towards Vision-Language Model’s Prediction RationalityTechnical
- Beyond Federated Prototype Learning: Learnable Semantic Anchors with Hyperspherical Contrast for Domain-Skewed DataTechnical
- Beyond Graph Convolution: Multimodal Recommendation with Topology-aware MLPsTechnical
- Beyond Homophily: Graph Contrastive Learning with Macro-Micro Message PassingTechnical
- Beyond IID: Optimizing Instruction Finetuning from the Perspective of Instruction Interaction and DependencyTechnical
- Beyond Mandatory Federations: Balancing Egoism, Utilitarianism and Egalitarianism in Mixed-Motive GamesTechnical
- Beyond Monotonicity: On the Convergence of Learning Algorithms in Standard Auction GamesTechnical
- Beyond Pixel and Object: Part Feature as Reference for Few-Shot Video Object SegmentationTechnical
- Beyond Prompt Engineering: A Reinforced Token-Level Input Refinement for Large Language ModelsTechnical
- Beyond Single Emotion: Multi-label Approach to Conversational Emotion RecognitionTechnical
- Beyond Skip Connection: Pooling and Unpooling Design for Elimination SingularitiesTechnical
- Beyond Spatial Domain: Cross-domain Promoted Fourier Convolution Helps Single Image DehazingTechnical
- Beyond Text: Fine-Grained Multi-Modal Fact Verification with Hypergraph TransformersTechnical
- Beyond Virtual Points: Depth-Enhanced LiDAR-only 3D Object Detection with Semi-Supervised Learning (Student Abstract)Technical
- BeyondGender: A Multifaceted Bilingual Dataset for Practical Sexism DetectionTechnical
- Bi-Level Optimization for Semi-Supervised Learning with Pseudo-LabelingTechnical
- BiMAC: Bidirectional Multimodal Alignment in Contrastive LearningTechnical
- Biased Incomplete Multi-View LearningTechnical
- Bidirectional Human-AI Learning in Real-Time Disoriented BalancingTechnical
- Bidirectional Logits Tree: Pursuing Granularity Reconcilement in Fine-Grained ClassificationTechnical
- BigMac: A Communication-Efficient Mixture-of-Experts Model Structure for Fast Training and InferenceTechnical
- Bites of Tomorrow: Personalized Recommendations for a Healthier and Greener PlateTechnical
- Black-Box Optimization with Implicit Constraints for Public PolicyTechnical
- Black-Box Test-Time Prompt Tuning for Vision-Language ModelsTechnical
- Blend the Separated: Mixture of Synergistic Experts for Data-Scarcity Drug-Target Interaction PredictionTechnical
- Block-Based Multi-Scale Image RescalingTechnical
- BloomScene: Lightweight Structured 3D Gaussian Splatting for Crossmodal Scene GenerationTechnical
- BoolXAI: Explainable AI Using Expressive Boolean FormulasTechnical
- Boosting Causal Structure Learning: An Asymmetric Exponential Modulation Gaussian-Based Adaptive Sample Reweighting FrameworkTechnical
- Boosting Fine-Grained Visual Anomaly Detection with Coarse-Knowledge-Aware Adversarial LearningTechnical
- Boosting Test Performance with Importance Sampling--a Subpopulation PerspectiveTechnical
- Boosting ViT-based MRI Reconstruction from the Perspectives of Frequency Modulation, Spatial Purification, and Scale DiversificationTechnical
- Boosting Vision State Space Model with Fractal ScanningTechnical
- Bootstrapped Reward ShapingTechnical
- BotSim: LLM-Powered Malicious Social Botnet SimulationTechnical
- Both Supply and Precision: Sample Debias and Ranking Consistency Joint Learning for Large Scale Pre-Ranking SystemTechnical
- Boundary Decomposition for Finding Nadir Objective Vector in Multi-Objective Discrete OptimizationTechnical
- Boundary-Aware Temporal Dynamic Pseudo-Supervision Pairs Generation for Zero-Shot Natural Language Video LocalizationTechnical
- Bounded Rationality Equilibrium Learning in Mean Field GamesTechnical
- BrainMAP: Learning Multiple Activation Pathways in Brain NetworksTechnical
- Breaking Barriers: A Paradigm Shift in Technology Accessibility for Individuals with Physical DisabilitiesTechnical
- Breaking Information Isolation: Accelerating MRI via Inter-sequence Mapping and Progressive MaskingTechnical
- Breaking Symmetries in Quantified Graph Search: A Comparative StudyTechnical
- Breaking the Resource Monopoly from Industries: Sustainable and Reliable LLM Serving by Recycling Outdated and Resource-Constrained GPUsTechnical
- Bridge Diffusion Model: Bridge Chinese Text-to-Image Diffusion Model with English CommunitiesTechnical
- Bridging Knowledge Gap Between Image Inpainting and Large-Area Visible Watermark RemovalTechnical
- Bridging Molecular Graphs and Large Language ModelsTechnical
- Bridging Sequence-Structure Alignment in RNA Foundation ModelsTechnical
- Bridging Traffic State and Trajectory for Dynamic Road Network and Trajectory Representation LearningTechnical
- Bridging the AI Gap: Evaluating the Impact of an AI Education Program for Caregivers on Parental LeaveTechnical
- Bridging the Gap Between Hyperdimensional Computing and Kernel Methods via the Nyström MethodTechnical
- Bridging the Knowledge Gap: Understanding User Expectations for Trustworthy LLM StandardsTechnical
- Bridging the Semantic Granularity Gap Between Text and Frame Representations for Partially Relevant Video RetrievalTechnical
- Bright-NeRF: Brightening Neural Radiance Field with Color Restoration from Low-Light RAW ImagesTechnical
- Building a Multi-modal Spatiotemporal Expert for Zero-shot Action Recognition with CLIPTechnical
- C2F-TP: A Coarse-to-Fine Denoising Framework for Uncertainty-Aware Trajectory PredictionTechnical
- CA-MLIF: Cross-Attention and Multimodal Low-Rank Interaction Fusion Framework for Tumor Prognostic PredictionTechnical
- CAGE: Unsupervised Visual Composition and Animation for Controllable Video GenerationTechnical
- CAKE: Category Aware Knowledge Extraction for Open-Vocabulary Object DetectionTechnical
- CALM: Curiosity-Driven Auditing for Large Language ModelsTechnical
- CAMH: Advancing Model Hijacking Attack in Machine LearningTechnical
- CAPrompt: Cyclic Prompt Aggregation for Pre-Trained Model Based Class Incremental LearningTechnical
- CASUAL: Conditional Support Alignment for Domain Adaptation with Label ShiftTechnical
- CDE-Learning: Camera Deviation Elimination Learning for Unsupervised Person Re-identificationTechnical
- CDTR: Semantic Alignment for Video Moment Retrieval Using Concept Decomposition TransformerTechnical
- CDW-CoT: Clustered Distance-Weighted Chain-of-Thoughts ReasoningTechnical
- CFDM: Contrastive Fusion and Disambiguation for Multi-View Partial-Label LearningTechnical
- CG-TGAN: Conditional Generative Adversarial Networks with Graph Neural Networks for Tabular Data SynthesizingTechnical
- CITI: Enhancing Tool Utilizing Ability in Large Language Models Without Sacrificing General PerformanceTechnical
- CLEP: A Novel Contrastive Learning Method for Evolutionary Reentrancy Vulnerability DetectionTechnical
- CLIMB-ReID: A Hybrid CLIP-Mamba Framework for Person Re-IdentificationTechnical
- CLIP-MSM: A Multi-Semantic Mapping Brain Representation for Human High-Level Visual CortexTechnical
- CLIP-PCQA: Exploring Subjective-Aligned Vision-Language Modeling for Point Cloud Quality AssessmentTechnical
- CLIP-RestoreX: Restore Image Structure and Perception in Exposure CorrectionTechnical
- CLIP-driven View-aware Prompt Learning for Unsupervised Vehicle Re-identificationTechnical
- CLNX: Bridging Code and Natural Language for C/C++ Vulnerability-Contributing Commits IdentificationTechnical
- CODE: Confident Ordinary Differential EditingTechnical
- COMM: Concentrated Margin Maximization for Robust Document-Level Relation ExtractionTechnical
- COMMIT: Certifying Robustness of Multi-Sensor Fusion Systems Against Semantic AttacksTechnical
- CP-DETR: Concept Prompt Guide DETR Toward Stronger Universal Object DetectionTechnical
- CREST: An Efficient Conjointly-trained Spike-driven Framework for Event-based Object Detection Exploiting Spatiotemporal DynamicsTechnical
- CROSSNEWS: A Cross-Genre Authorship Verification and Attribution BenchmarkTechnical
- CSL-L2M: Controllable Song-Level Lyric-to-Melody Generation Based on Conditional Transformer with Fine-Grained Lyric and Musical ControlsTechnical
- CSSinger: End-to-End Chunkwise Streaming Singing Voice Synthesis System Based on Conditional Variational AutoencoderTechnical
- CSformer: Combining Channel Independence and Mixing for Robust Multivariate Time Series ForecastingTechnical
- CUGF: A Reliable and Fair Recommendation FrameworkTechnical
- CUPCase: Clinically Uncommon Patient Cases and Diagnoses DatasetTechnical
- CUQDS: Conformal Uncertainty Quantification Under Distribution Shift for Trajectory PredictionTechnical
- Calibrated Disambiguation for Partial Multi-label LearningTechnical
- Can Large Language Models Derive High-Level Cognition from Low-Level and Fragmented Foundational Information?Technical
- Can Private Machine Learning Be Fair?Technical
- Can Students Beyond the Teacher? Distilling Knowledge from Teacher’s BiasTechnical
- Capability Instruction TuningTechnical
- Capture Global Feature Statistics for One-Shot Federated LearningTechnical
- Capturing the Unseen: Vision-Free Facial Motion Capture Using Inertial Measurement UnitsTechnical
- CareBot: A Pioneering Full-Process Open-Source Medical Language ModelTechnical
- Cascaded Diffusion Models for Virtual Try-On: Improving Control and ResolutionTechnical
- Category Prompt Mamba Network for Nuclei Segmentation and ClassificationTechnical
- Cauchy Diffusion: A Heavy-tailed Denoising Diffusion Probabilistic Model for Speech SynthesisTechnical
- Causal Explanation of Quality of Parent-Child Interactions with Multimodal Behavioral Features (Student Abstract)Technical
- Causal Inference over Visual-Semantic-Aligned Graph for Image ClassificationTechnical
- Causally Consistent Normalizing FlowTechnical
- Certification of Speaker Recognition Models to Additive PerturbationsTechnical
- Certified Causal Defense with Generalizable RobustnessTechnical
- Certified Trustworthiness in the Era of Large Language ModelsTechnical
- Certifying Bounds Propagation for Integer Multiplication ConstraintsTechnical
- CharacterBench: Benchmarking Character Customization of Large Language ModelsTechnical
- ChatterBox: Multimodal Referring and Grounding with Chain-of-QuestionsTechnical
- Checking Consistency of CP-Theory Preferences in Polynomial TimeTechnical
- CiTrus: Squeezing Extra Performance out of Low-data Bio-signal Transfer LearningTechnical
- Cirbo: A New Tool for Boolean Circuit Analysis and SynthesisTechnical
- Class Semantic Attribute Perception Guided Zero-Shot LearningTechnical
- Class and Attribute-Aware Logit Adjustment for Generalized Long-Tail LearningTechnical
- Clean-Label Graph Backdoor Attack in the Node Classification TaskTechnical
- Click2Mask: Local Editing with Dynamic Mask GenerationTechnical
- ClinicalRAG: Automating Pharmaceutical Label Quality Control with Hierarchical RAG and Large Language ModelsTechnical
- Cluster Based Heterogeneous Federated Foundation Model Adaptation and Fine-TuningTechnical
- Clustering by Mining Density Distributions and Splitting Manifold StructureTechnical
- Co-Dream: Collaborative Dream Synthesis over Decentralized ModelsTechnical
- Co-Progression Knowledge Distillation with Knowledge Prototype for Industrial Anomaly DetectionTechnical
- CoDTS: Enhancing Sparsely Supervised Collaborative Perception with a Dual Teacher-Student FrameworkTechnical
- CoDe: Communication Delay-Tolerant Multi-Agent Collaboration via Dual Alignment of Intent and TimelinessTechnical
- CoDeR: Counterfactual Demand Reasoning for Sequential RecommendationTechnical
- CoPEFT: Fast Adaptation Framework for Multi-Agent Collaborative Perception with Parameter-Efficient Fine-TuningTechnical
- CoSDA: Enhancing the Robustness of Inversion-based Generative Image Watermarking FrameworkTechnical
- CoT4Rec: Revealing User Preferences Through Chain of Thought for Recommender SystemsTechnical
- Code-switching Mediated Sentence-level Semantic LearningTechnical
- CoffeeBoost: Gradient Boosting Native Conformal Inference for Bayesian OptimizationTechnical
- CogSQL: A Cognitive Framework for Enhancing Large Language Models in Text-to-SQL TranslationTechnical
- CognTKE: A Cognitive Temporal Knowledge Extrapolation FrameworkTechnical
- Cognitive Bias and Reassignment: Who Can Contribute High Quality LLM DataTechnical
- Cognitive Fluctuations Enhanced Attention Network for Knowledge TracingTechnical
- CohEx: A Generalized Framework for Cohort ExplanationTechnical
- Coherency Improved Explainable Recommendation via Large Language ModelTechnical
- Collaborative Evolution: Multi-Round Learning Between Large and Small Language Models for Emergent Fake News DetectionTechnical
- Collaborative Learning for 3D Hand-Object Reconstruction and Compositional Action Recognition from Egocentric RGB Videos Using SuperquadricsTechnical
- Collaborative Semantic Consistency Alignment for Blended-Target Domain AdaptationTechnical
- Collaborative Similarity Fusion and Consistency Recovery for Incomplete Multi-view ClusteringTechnical
- CollageNoter: Real-Time and Adaptive Collage Layout Design for Screenshot-Based E-Note-TakingTechnical
- Color Transfer with Modulated FlowsTechnical
- Combating Multimodal LLM Hallucination via Bottom-Up Holistic ReasoningTechnical
- Combating Phone Scams with LLM-based Detection: Where Do We Stand? (Student Abstract)Technical
- Combating Semantic Contamination in Learning with Label NoiseTechnical
- Combining Priors with Experience: Confidence Calibration Based on Binomial Process ModelingTechnical
- Commitment to Sparse Strategies in Two-Player GamesTechnical
- Common Sense Bias Modeling for Classification TasksTechnical
- Communication Accommodation Between Large Language Models and Users Across Cultures (Student Abstract)Technical
- Community-Aware Variational Autoencoder for Continuous Dynamic NetworksTechnical
- Community-Centric Graph UnlearningTechnical
- Comparative Analysis of Demonstration Selection Algorithms for In-Context Learning in Large Language Models (Student Abstract)Technical
- Comparing Artificial Intelligence Curricula in Canadian and US UniversitiesTechnical
- Complete Symmetry Breaking for Finite ModelsTechnical
- Component-Level Segmentation for Oracle Bone Inscription DeciphermentTechnical
- Compose with Me: Collaborative Music Inpainter for Symbolic Music InfillingTechnical
- ComprehendEdit: A Comprehensive Dataset and Evaluation Framework for Multimodal Knowledge EditingTechnical
- Compress to One Point: Neural Collapse for Pre-Trained Model-Based Class-Incremental LearningTechnical
- Compressing Streamable Free-Viewpoint Videos to 0.1 MB per FrameTechnical
- Compression-Aware Computing for Scalable and Sustainable AITechnical
- Computational Thinking with Computer Vision: Developing AI Competency in an Introductory Computer Science CourseTechnical
- Computationally Hard Problems Are Hard for QBF Proof Systems TooTechnical
- Computing Perfect Bayesian Equilibria in Sequential Auctions with VerificationTechnical
- ConDo: Continual Domain Expansion for Absolute Pose RegressionTechnical
- ConFREE: Conflict-free Client Update Aggregation for Personalized Federated LearningTechnical
- Concept Matching with Agent for Out-of-Distribution DetectionTechnical
- ConceptSearch: Towards Efficient Program Search Using LLMs for Abstraction and Reasoning Corpus (ARC)Technical
- ConceptSearch: Towards Efficient Program Search Using LLMs for Abstraction and Reasoning Corpus (ARC) (Student Abstract)Technical
- Concurrent Planning and Execution in Lifelong Multi-Agent Path Finding with Delay ProbabilitiesTechnical
- Conditional Feature Importance with Generative Modeling Using Adversarial Random ForestsTechnical
- Conditional Latent Coding with Learnable Synthesized Reference for Deep Image CompressionTechnical
- Conformal Prediction for Partial Label LearningTechnical
- Confounding-Robust Deferral Policy LearningTechnical
- Consistency of Compositional Generalization Across Multiple LevelsTechnical
- Consistent Query Answering over Existential Rules with Open and Closed PredicatesTechnical
- Constant-Factor Distortion Mechanisms for k-Committee ElectionTechnical
- Constrained Generative Modeling with Manually Bridged Diffusion ModelsTechnical
- Constraint Optimisation Approaches for Designing Group-Living Captive Breeding ProgrammesTechnical
- Constraint-aware Pareto Optimization for Tree-Structured Networks: Addressing Decarbonization Targets with Hydropower ExpansionTechnical
- Constructing Fair Latent Space for Intersection of Fairness and ExplainabilityTechnical
- Content-aware Balanced Spectrum Encoding in Masked Modeling for Time Series ClassificationTechnical
- Content-free Logical Modification of Large Language Model by Disentangling and Modifying Logic RepresentationTechnical
- Context in Public Health for Underserved Communities: A Bayesian Approach to Online Restless BanditsTechnical
- Context-aware Graph Neural Network for Graph-based Fraud Detection with Extremely Limited LabelsTechnical
- Contextual Structure Knowledge Transfer for Graph Neural NetworksTechnical
- ContextualStory: Consistent Visual Storytelling with Spatially-Enhanced and Storyline ContextTechnical
- Continual Unsupervised Generative Modelling via Online Optimal TransportTechnical
- Contract-based Design and Verification of Multi-Agent Systems with Quantitative Temporal RequirementsTechnical
- Contradicted in Reliable, Replicated in Unreliable: Dual-Source Reference for Fake News Early DetectionTechnical
- Contrasting Adversarial Perturbations: The Space of Harmless PerturbationsTechnical
- Contrastive Auxiliary Learning with Structure Transformation for Heterogeneous GraphsTechnical
- Contrastive Functional Principal Component AnalysisTechnical
- Contrastive Multi-view Subspace Clustering via Tensor Transformers AutoencoderTechnical
- Contrastive Representation for Interactive RecommendationTechnical
- Controllable 3D Dance Generation Using Diffusion-Based Transformer U-NetTechnical
- Controllable Protein Sequence Generation with LLM Preference OptimizationTechnical
- Controlling Equational Reasoning in Large Language Models with Prompt InterventionsTechnical
- Convergence Analysis of Federated Learning Methods Using Backward Error AnalysisTechnical
- Convergence Rate in a Nonlinear Two-Time-Scale Stochastic Approximation with State (Time)-DependenceTechnical
- Cooperative Policy Agreement: Learning Diverse Policy for Offline MARLTechnical
- Core Knowledge Learning Framework for GraphTechnical
- Core-to-Global Reasoning for Compositional Visual Question AnsweringTechnical
- Correcting Large Language Model Behavior via Influence FunctionTechnical
- Correlation-Attention Masked Temporal Transformer for User Identity Linkage Using Heterogeneous Mobility DataTechnical
- Cost-Aware Near-Optimal Policy LearningTechnical
- Counterexample Guided Program Repair Using Zero-Shot Learning and MaxSAT-based Fault LocalizationTechnical
- Counterfactual Debiasing for Physical Audiovisual Commonsense ReasoningTechnical
- Counterfactual Explanations of Time Varying Rankings (Student Abstract)Technical
- Counterfactual Identification Under Monotonicity ConstraintsTechnical
- Counterfactual Online Learning for Open-Loop Monte-Carlo PlanningTechnical
- Counterfactual Task-augmented Meta-learning for Cold-start Sequential RecommendationTechnical
- Counting and Reasoning with PlansTechnical
- Coupling-based Convergence Diagnostic and Stepsize Scheme for Stochastic Gradient DescentTechnical
- CraftFactory: A Conditioned Control Policy Benchmark for Compositional GeneralizationTechnical
- Creating Coherence in Federated Non-Negative Matrix FactorizationTechnical
- CriSPO: Multi-Aspect Critique-Suggestion-guided Automatic Prompt Optimization for Text GenerationTechnical
- Critical Forgetting-Based Multi-Scale Disentanglement for Deepfake DetectionTechnical
- Cross-Domain Trajectory Association Based on Hierarchical Spatiotemporal Enhanced Attention HypergraphTechnical
- Cross-PCR: A Robust Cross-Source Point Cloud Registration FrameworkTechnical
- Cross-Spectral Gaussian Splatting with Spatial Occupancy ConsistencyTechnical
- Cross-modal Multi-task Learning for Multimedia Event ExtractionTechnical
- Crossfire: An Elastic Defense Framework for Graph Neural Networks Under Bit Flip AttacksTechnical
- CryoDomain: Sequence-free Protein Domain Identification from Low-resolution Cryo-EM Density MapsTechnical
- CtrlAvatar: Controllable Avatars Generation via Disentangled Invertible NetworksTechnical
- Cultivating Archipelago of Forests: Evolving Robust Decision Trees Through Island CoevolutionTechnical
- D&M: Enriching E-commerce Videos with Sound Effects by Key Moment Detection and SFX MatchingTechnical
- DAMMFND: Domain-Aware Multimodal Multi-view Fake News DetectionTechnical
- DAMPER: A Dual-Stage Medical Report Generation Framework with Coarse-Grained MeSH Alignment and Fine-Grained Hypergraph MatchingTechnical
- DAPoinTr: Domain Adaptive Point Transformer for Point Cloud CompletionTechnical
- DC-PCN: Point Cloud Completion Network with Dual-Codebook Guided QuantizationTechnical
- DCA: Dividing and Conquering Amnesia in Incremental Object DetectionTechnical
- DCC: Differentiable Cardinality Constraints for Partial Index TrackingTechnical
- DCHM: Dynamic Collaboration of Heterogeneous Models Through Isomerism Learning in a Blockchain-Powered Federated Learning FrameworkTechnical
- DCILP: A Distributed Approach for Large-Scale Causal Structure LearningTechnical
- DCSF-KD: Dynamic Channel-wise Spatial Feature Knowledge Distillation for Object DetectionTechnical
- DCTMamba: Advancing JPEG Image Restoration Through Long-Sequence Modeling and Adaptive Frequency StrategyTechnical
- DDJND: Dual Domain Just Noticeable Difference in Multi-Source Content Images with Structural DiscrepancyTechnical
- DECT: Harnessing LLM-assisted Fine-Grained Linguistic Knowledge and Label-Switched and Label-Preserved Data Generation for Diagnosis of Alzheimer’s DiseaseTechnical
- DEQA: Descriptions Enhanced Question-Answering Framework for Multimodal Aspect-Based Sentiment AnalysisTechnical
- DF-MIA: A Distribution-Free Membership Inference Attack on Fine-Tuned Large Language ModelsTechnical
- DFDNet: Disentangling and Filtering Dynamics for Enhanced Video PredictionTechnical
- DFF: Decision-Focused Fine-Tuning for Smarter Predict-Then-Optimize with Limited DataTechnical
- DHAKR: Learning Deep Hierarchical Attention-Based Kernelized Representations for Graph ClassificationTechnical
- DHMoE: Diffusion Generated Hierarchical Multi-Granular Expertise for Stock PredictionTechnical
- DIDiffGes: Decoupled Semi-Implicit Diffusion Models for Real-time Gesture Generation from SpeechTechnical
- DMT-RoleBench: A Dynamic Multi-Turn Dialogue Based Benchmark for Role-Playing Evaluation of Large Language Model and AgentTechnical
- DOGE: LLMs-Enhanced Hyper-Knowledge Graph Recommender for Multimodal RecommendationTechnical
- DOGR: Leveraging Document-Oriented Contrastive Learning in Generative RetrievalTechnical
- DOMBA: Double Model Balancing for Access-Controlled Language Models via Minimum-Bounded AggregationTechnical
- DP-MemArc: Differential Privacy Transfer Learning for Memory Efficient Language ModelsTechnical
- DPCL-Diff:Temporal Knowledge Graph Reasoning Based on Graph Node Diffusion Model with Dual-Domain Periodic Contrastive LearningTechnical
- DREAM: Decoupled Discriminative Learning with Bigraph-aware Alignment for Semi-supervised 2D-3D Cross-modal RetrievalTechnical
- DSGram: Dynamic Weighting Sub-Metrics for Grammatical Error Correction in the Era of Large Language ModelsTechnical
- DUO: Diverse, Uncertain, On-Policy Query Generation and Selection for Reinforcement Learning from Human FeedbackTechnical
- DUSTED: Dual-Attention Enhanced Spatial Transcriptomics DenoiserTechnical
- DZAD: Diffusion-based Zero-shot Anomaly DetectionTechnical
- D^2-DPM: Dual Denoising for Quantized Diffusion Probabilistic ModelsTechnical
- DanceFix: An Exploration in Group Dance Neatness Assessment Through Fixing Abnormal Challenges of Human PoseTechnical
- Data Attribution: A Data-Centric Approach for Trustworthy AI DevelopmentTechnical
- Data Augmentation Approaches for Satellite ImageryTechnical
- Data Augmentation for Instruction Following Policies via Trajectory SegmentationTechnical
- Data Monitoring for Large Scale Public Health DataTechnical
- Data Wrangling Task Automation Using Code-Generating Language ModelsTechnical
- Data with High and Consistent Preference Difference Are Better for Reward ModelTechnical
- Data-Free Black-Box Federated Learning via Zeroth-Order Gradient EstimationTechnical
- Data-Free Universal Attack by Exploiting the Intrinsic Vulnerability of Deep ModelsTechnical
- Data-driven Precipitation Nowcasting Using Satellite ImageryTechnical
- De Novo Molecular and Crystal Design with Latent Space Bayesian OptimizationTechnical
- De-singularity Subgradient for the q-th-Powered lₚ-Norm Weber Location ProblemTechnical
- DeCorrNet: Enhancing Neural Decoding Performance by Eliminating Correlations in NoiseTechnical
- DeMo: Deep Motion Field Consensus with Learnable Kernels for Two-view Correspondence LearningTechnical
- DeNC: Unleash Neural Codecs in Video Streaming with Diffusion EnhancementTechnical
- DeRainGS: Gaussian Splatting for Enhanced Scene Reconstruction in Rainy EnvironmentsTechnical
- DearLLM: Enhancing Personalized Healthcare via Large Language Models-Deduced Feature CorrelationsTechnical
- Debate Helps Weak-to-Strong GeneralizationTechnical
- Debiased Active Learning with Variational Gradient RectifierTechnical
- Debiased Distillation for Consistency RegularizationTechnical
- Decentralized Convergence to Equilibrium Prices in Trading NetworksTechnical
- Decentralized Projected Riemannian Stochastic Recursive Momentum Method for Nonconvex OptimizationTechnical
- Decomposed Quadratization: Efficient QUBO Formulation for Learning Bayesian NetworkTechnical
- Decomposed Spatio-Temporal Mamba for Long-Term Traffic PredictionTechnical
- Decomposing and Fusing Intra- and Inter-Sensor Spatio-Temporal Signal for Multi-Sensor Wearable Human Activity RecognitionTechnical
- Deconfound Semantic Shift and Incompleteness in Incremental Few-shot Semantic SegmentationTechnical
- Decoupled Policy Actor-Critic: Bridging Pessimism and Risk Awareness in Reinforcement LearningTechnical
- Decoupled Spatio-Temporal Consistency Learning for Self-Supervised TrackingTechnical
- Decoupling Metacognition from Cognition: A Framework for Quantifying Metacognitive Ability in LLMsTechnical
- Decoupling Scattering: Pseudo-Label Guided NeRF for Scenes with Scattering MediaTechnical
- Deep Disentangled Metric LearningTechnical
- Deep Evidential Hashing for Trustworthy Cross-Modal RetrievalTechnical
- Deep Graph Online Hashing for Multi-Label Image RetrievalTechnical
- Deep Hierarchies and Invariant Disease-Indicative Feature Learning for Computer Aided Diagnosis of Multiple Fundus DiseasesTechnical
- Deep Implicit Imitation Reinforcement Learning in Heterogeneous Action SettingsTechnical
- Deep Multi-modal Graph Clustering via Graph Transformer NetworkTechnical
- Deep Non-Rigid Structure-from-Motion Revisited: Canonicalization and Sequence ModelingTechnical
- Deep Rank-One Tensor Functional Factorization for Multi-Dimensional Data RecoveryTechnical
- Deep Reinforcement Learning with Time-Scale Invariant MemoryTechnical
- Deep Representation Learning for Forecasting Recursive and Multi-Relational Events in Temporal NetworksTechnical
- Deep Submodular Optimization and LLM for Multimodal Content Extraction and Automatic Poster Generation from Long DocumentTechnical
- Deep-Union CompletionTechnical
- Defeasible Visual Entailment: Benchmark, Evaluator, and Reward-Driven OptimizationTechnical
- Defending Against Sophisticated Poisoning Attacks with RL-based Aggregation in Federated LearningTechnical
- Defense Against Model Stealing Based on Account-Aware Distribution DiscrepancyTechnical
- Dehaze-RetinexGAN: Real-World Image Dehazing via Retinex-based Generative Adversarial NetworkTechnical
- Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational PosteriorsTechnical
- Densest k-Subgraph Mining via a Provably Tight RelaxationTechnical
- DepMGNN: Matrixial Graph Neural Network for Video-based Automatic Depression AssessmentTechnical
- DepthFM: Fast Generative Monocular Depth Estimation with Flow MatchingTechnical
- Descriptive and Discriminative Document Identifiers for Generative RetrievalTechnical
- Design and Evaluation of a Generative Artificial Intelligence-Based Tool for Students with Learning Disabilities in KenyaTechnical
- DesignEdit: Unify Spatial-Aware Image Editing via Training-free Inpainting with a Multi-Layered Latent Diffusion FrameworkTechnical
- Designing Ambiguity Sets for Distributionally Robust Optimization Using Structural Causal Optimal TransportTechnical
- Designing Characters with AI: An Art & AI Learning ActivityTechnical
- Designing Specialized Two-Dimensional Graph Spectral Filters for Spatial-Temporal Graph ModelingTechnical
- Destroy and Repair Using Hyper-Graphs for RoutingTechnical
- DetRF: Detachable Novel Views Synthesis of Dynamic Scenes Using Backdrop-Driven Neural Radiance FieldsTechnical
- Detail Matters: Mamba-Inspired Joint Unfolding Network for Snapshot Spectral Compressive ImagingTechnical
- Details Enhancement in Unsigned Distance Field Learning for High-fidelity 3D Surface ReconstructionTechnical
- Detecting Music Performance Errors with TransformersTechnical
- Developing Chatbots for Sustainability: Experiential Learning in an Undergraduate Business CourseTechnical
- Developing Generative Recommender Systems for Government Subsidy Pro-Grams with a New RQ-VAE Model: Wello & the Korean Government CaseTechnical
- Developing LLM-Powered Trustworthy Agents for Personalized Learning SupportTechnical
- Developing Multimodal Healthcare Foundation Model: From Data-driven to Knowledge-enhancedTechnical
- Developing a Postgraduate Program for AI in Medicine with Kern’s Six-Step Curriculum Development Approach in SingaporeTechnical
- Deviate or Not: Learning Coalition Structures with Multiple-bit Observations in GamesTechnical
- DiCA: Disambiguated Contrastive Alignment for Cross-Modal Retrieval with Partial LabelsTechnical
- DiMSOD: A Diffusion-Based Framework for Multi-Modal Salient Object DetectionTechnical
- DialogDraw: Image Generation and Editing System Based on Multi-Turn DialogueTechnical
- DiffCorr: Conditional Diffusion Model with Reliable Pseudo-Label Guidance for Unsupervised Point Cloud Shape CorrespondenceTechnical
- DiffDVC: Accurate Event Detection for Dense Video Captioning via Diffusion ModelsTechnical
- DiffExp: Efficient Exploration in Reward Fine-tuning for Text-to-Image Diffusion ModelsTechnical
- DiffIM: Differentiable Influence Minimization with Surrogate Modeling and Continuous RelaxationTechnical
- DiffRetouch: Using Diffusion to Retouch on the Shoulder of ExpertsTechnical
- Differentiable Adversarial Attacks for Marked Temporal Point ProcessesTechnical
- Differentiable Information Enhanced Model-Based Reinforcement LearningTechnical
- Differential Alignment for Domain Adaptive Object DetectionTechnical
- Differentially Private Prototypes for Imbalanced Transfer LearningTechnical
- Difficulty-aware Balancing Margin Loss for Long-tailed RecognitionTechnical
- Diffusion Model Patching via Mixture-of-PromptsTechnical
- Diffusion Models for AttributionTechnical
- Diffusion Models for RoboticsTechnical
- Diffusion Prior Interpolation for Flexibility Real-World Face Super-ResolutionTechnical
- Diffusion-Based Active Learning for Distributed Client ManifoldsTechnical
- Diffusion-based Semantic Outlier Generation via Nuisance Awareness for Out-of-Distribution DetectionTechnical
- Diffusion-based Synthetic Data Generation for Visible-Infrared Person Re-IdentificationTechnical
- DiffusionREC: Diffusion Model with Adaptive Condition for Referring Expression ComprehensionTechnical
- DigitalLLaVA: Incorporating Digital Cognition Capability for Physical World Comprehension in Multimodal LLMsTechnical
- Dimension Reduction for Symbolic RegressionTechnical
- Direct Routing Gradient (DRGrad): A Personalized Information Surgery for Multi-Task Learning (MTL) RecommendationsTechnical
- DisCo-DSO: Coupling Discrete and Continuous Optimization for Efficient Generative Design in Hybrid SpacesTechnical
- Discovering Options That Minimize Average Planning TimeTechnical
- Discovering Symmetries of ODEs by Symbolic RegressionTechnical
- Discrete Prior-Based Temporal-Coherent Content Prediction for Blind Face Video RestorationTechnical
- Disentangled Contrastive Bundle Recommendation with Conditional DiffusionTechnical
- Disentangled Modeling of Preferences and Social Influence for Group RecommendationTechnical
- Disentangled Table-Graph Representation for Interpretable Transmission Line Fault LocationTechnical
- Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series ForecastingTechnical
- Disentangling Tabular Data Towards Better One-Class Anomaly DetectionTechnical
- Disentangling, Amplifying, and Debiasing: Learning Disentangled Representations for Fair Graph Neural NetworksTechnical
- Distances Between Top-Truncated Elections of Different SizesTechnical
- Distilling Knowledge from Heterogeneous Architectures for Semantic SegmentationTechnical
- Distribution-Driven Dense Retrieval: Modeling Many-to-One Query-Document RelationshipTechnical
- Distribution-Free Uncertainty Quantification in Mechanical Ventilation Treatment: A Conformal Deep Q-Learning FrameworkTechnical
- Distributionally Robust Policy Evaluation and Learning for Continuous Treatment with Observational DataTechnical
- Dis²Booth: Learning Image Distribution with Disentangled Features for Text-to-Image Diffusion ModelsTechnical
- DivShift: Exploring Domain-Specific Distribution Shifts in Large-Scale, Volunteer-Collected Biodiversity DatasetsTechnical
- Dive into Aerial Remote Sensing Underwater Depth Estimation with Hyperspectral ImageryTechnical
- DiverSAT: A Novel and Effective Local Search Algorithm for Diverse SAT ProblemTechnical
- Diverse Rare Sample Generation with Pretrained GANsTechnical
- Divide-Solve-Combine: An Interpretable and Accurate Prompting Framework for Zero-shot Multi-Intent DetectionTechnical
- Divide-and-Conquer: Tree-structured Strategy with Answer Distribution Estimator for Goal-Oriented Visual DialogueTechnical
- Do Not DeepFake Me: Privacy-Preserving Neural 3D Head Reconstruction Without Sensitive ImagesTechnical
- DoGA: Enhancing Grounded Object Detection via Grouped Pre-Training with AttributesTechnical
- DocMamba: Efficient Document Pre-training with State Space ModelTechnical
- Does GCL Need a Large Number of Negative Samples? Enhancing Graph Contrastive Learning with Effective and Efficient Negative SamplingTechnical
- Does GPT Really Get It? A Hierarchical Scale to Quantify Human and AI’s Understanding of AlgorithmsTechnical
- Does Knowing More Make You Easier to Trick? Adversarial Robustness of Multi-Target RegressionTechnical
- Does VLM Classification Benefit from LLM Description Semantics?Technical
- DomCLP: Domain-wise Contrastive Learning with Prototype Mixup for Unsupervised Domain GeneralizationTechnical
- Domain Adaptive Unfolded Graph Neural NetworksTechnical
- Domain-Informed Label Fusion Surpasses LLMs in Free-Living Activity Classification (Student Abstract)Technical
- Domain-Level Disentanglement Framework Based on Information Enhancement for Cross-Domain Cold-Start RecommendationTechnical
- Don’t Think It Twice: Exploit Shift Invariance for Efficient Online Streaming Inference of CNNsTechnical
- Doubly Contrastive Learning for Source-Free Domain Adaptive Person SearchTechnical
- Doubly-Bounded Queue for Constrained Online Learning: Keeping Pace with Dynamics of Both Loss and ConstraintTechnical
- Dr. Tongue: Sign-Oriented Multi-label Detection for Remote Tongue DiagnosisTechnical
- Drawing Informative Gradients from Sources: A One-stage Transfer Learning Framework for Cross-city Spatiotemporal ForecastingTechnical
- DreaMark: Rooting Watermark in Score Distillation Sampling Generated Neural Radiance FieldsTechnical
- DreamAlign: Dynamic Text-to-3D Optimization with Human Preference AlignmentTechnical
- DreamPhysics: Learning Physics-Based 3D Dynamics with Video Diffusion PriorsTechnical
- DreamUHD: Frequency Enhanced Variational Autoencoder for Ultra-High-Definition Image RestorationTechnical
- DriveEditor: A Unified 3D Information-Guided Framework for Controllable Object Editing in Driving ScenesTechnical
- DroughtSet: Understanding Drought Through Spatial-Temporal LearningTechnical
- DrugHash: Hashing Based Contrastive Learning for Virtual ScreeningTechnical
- DuSSS: Dual Semantic Similarity-Supervised Vision-Language Model for Semi-Supervised Medical Image SegmentationTechnical
- Dual Manifold Regularization Steered Robust Representation Learning for Point Cloud AnalysisTechnical
- Dual-Channel Interactive Graph Transformer for Traffic Classification with Message-Aware Flow RepresentationTechnical
- Dual-Level Precision Edges Guided Multi-View Stereo with Accurate PlanarizationTechnical
- Dual-View Interaction-Aware Lane Change Prediction for Autonomous DrivingTechnical
- Dual-View Learning for Conversational Emotion Recognition Through Context and Emotion-Shift ModelingTechnical
- Dual-branch Graph Feature Learning for NLOS ImagingTechnical
- Dual-calibrated Co-training Framework for Personalized Federated Semi-Supervised Medical Image SegmentationTechnical
- DualCP: Rehearsal-Free Domain-Incremental Learning via Dual-Level Concept PrototypeTechnical
- DualGFL: Federated Learning with a Dual-Level Coalition-Auction GameTechnical
- DualNet: Robust Self-Supervised Stereo Matching with Pseudo-Label SupervisionTechnical
- DualOpt: A Dual Divide-and-Optimize Algorithm for the Large-scale Traveling Salesman ProblemTechnical
- Dung’s Argumentation Framework: Unveiling the Expressive Power with Inconsistent DatabasesTechnical
- Dust-Mamba: An Efficient Dust Storm Detection Network with Multiple Data SourcesTechnical
- DynASyn: Multi-Subject Personalization Enabling Dynamic Action SynthesisTechnical
- Dynamic Adapter with Semantics Disentangling for Cross-lingual Cross-modal RetrievalTechnical
- Dynamic Algorithm Termination for Branch-and-Bound-based Neural Network VerificationTechnical
- Dynamic Back-Substitution in Bound-Propagation-Based Neural Network VerificationTechnical
- Dynamic Clustering Convolutional Neural NetworkTechnical
- Dynamic Contrastive Knowledge Distillation for Efficient Image RestorationTechnical
- Dynamic Entity-Masked Graph Diffusion Model for Histopathology Image Representation LearningTechnical
- Dynamic Expansion Diffusion Learning for Lifelong Generative ModellingTechnical
- Dynamic Graph Learning with Static Relations for Credit Risk AssessmentTechnical
- Dynamic Interactive Bimodal Hypergraph Networks for Emotion Recognition in ConversationsTechnical
- Dynamic Multi-Interest Graph Neural Network for Session-Based RecommendationTechnical
- Dynamic Neighborhood Modeling via Node-Subgraph Contrastive Learning for Graph-Based Fraud DetectionTechnical
- Dynamic Operator Optimization for Efficient Multi-Tenant LoRA Model ServingTechnical
- Dynamic Spectral Graph Anomaly DetectionTechnical
- Dynamic Syntactic Feature Filtering and Injecting Networks for Cross-lingual Dependency ParsingTechnical
- Dynamic Target Distribution Estimation for Source-Free Open-Set Domain AdaptationTechnical
- Dynamic Uncertainty Estimation for Offline Reinforcement LearningTechnical
- Dynamic-Width Speculative Beam Decoding for LLM InferenceTechnical
- Dynamics-Based Feature Augmentation of Graph Neural Networks for Variant Emergence PredictionTechnical
- E4: Energy-Efficient DNN Inference for Edge Video Analytics via Early Exiting and DVFSTechnical
- EBS-CFL: Efficient and Byzantine-robust Secure Clustered Federated LearningTechnical
- ECLAIR: Enhanced Clarification for Interactive Responses in an Enterprise AI AssistantTechnical
- EDENet: Echo Direction Encoding Network for Place Recognition Based on Ground Penetrating RadarTechnical
- EF2X Exists for Four AgentsTechnical
- EFSkip: A New Error Feedback with Linear Speedup for Compressed Federated Learning with Arbitrary Data HeterogeneityTechnical
- EGSRAL:An Enhanced 3D Gaussian Splatting Based Renderer with Automated Labeling for Large-Scale Driving SceneTechnical
- ELDER: Enhancing Lifelong Model Editing with Mixture-of-LoRATechnical
- EMControl: Adding Conditional Control to Text-to-Image Diffusion Models via Expectation-MaximizationTechnical
- EMPLACE: Self-Supervised Urban Scene Change DetectionTechnical
- END^2: Robust Dual-Decoder Watermarking Framework Against Non-Differentiable DistortionsTechnical
- EPERM: An Evidence Path Enhanced Reasoning Model for Knowledge Graph Question and AnsweringTechnical
- EPT: Efficient Prompt Tuning by Multi-Space Projection and Prompt FusionTechnical
- ERCI: An Explainable Experience Replay Approach with Causal Inference for Deep Reinforcement LearningTechnical
- ERF: A Benchmark Dataset for Robust Semantic Segmentation Under Extreme Rainfall ConditionsTechnical
- ERFSL: An Efficient Reward Function Searcher via Large Language Models for Custom-Environment Multi-Objective Reinforcement Learning (Student Abstract)Technical
- ERL-MPP: Evolutionary Reinforcement Learning with Multi-head Puzzle Perception for Solving Large-scale Jigsaw Puzzles of Eroded GapsTechnical
- ESEG: Event-Based Segmentation Boosted by Explicit Edge-Semantic GuidanceTechnical
- ESPRESSO: An Effective Approach to Passage Retrieval for High-Quality Conversational Recommender SystemsTechnical
- Early Concept Drift Detection via Prediction UncertaintyTechnical
- EchoDiffusion: Waveform Conditioned Diffusion Models for Echo-Based Depth EstimationTechnical
- Eco Search: A No-delay Best-First Search Algorithm for Program SynthesisTechnical
- Edge Contrastive Learning: An Augmentation-Free Graph Contrastive Learning ModelTechnical
- Editing Memories Through Few Targeted NeuronsTechnical
- Effective and Efficient Representation Learning for Flight TrajectoriesTechnical
- Effects of Momentum in Implicit Bias of Gradient Flow for Diagonal Linear NetworksTechnical
- Efficient Anomaly Detection of Irregular Sequences in Ct-Echo Model SpaceTechnical
- Efficient Communication in Multi-Agent Reinforcement Learning with Implicit Consensus GenerationTechnical
- Efficient Connectivity-Preserving Instance Segmentation with Supervoxel-Based Loss FunctionTechnical
- Efficient Deformable Convolutional Prompt for Continual Test-Time Adaptation in Medical Image SegmentationTechnical
- Efficient Event-Based Semantic Segmentation via Exploiting Frame-Event Fusion: A Hybrid Neural Network ApproachTechnical
- Efficient Fault-Tolerant Search by Fast Indexing of SubnetworksTechnical
- Efficient Federated Learning via Clients-to-Server Knowledge Distillation (Student Abstract)Technical
- Efficient Graph Bandit Learning with Side-Observations and Switching ConstraintsTechnical
- Efficient Image Similarity Search with Quadtrees (Student Abstract)Technical
- Efficient Indoor Depth Completion Network Using Mask-adaptive Gated ConvolutionTechnical
- Efficient Neural Network Encoding for 3D Color Lookup TablesTechnical
- Efficient Online Training for Zero-Shot Time-Lapse Microscopy Denoising and Super-ResolutionTechnical
- Efficient Reinforcement Learning Through Adaptively Pretrained Visual EncoderTechnical
- Efficient Reinforcement Learning in Probabilistic Reward MachinesTechnical
- Efficient Robot Learning via Interaction with HumansTechnical
- Efficient Robustness Evaluation via Constraint RelaxationTechnical
- Efficient Unlearning for Spatio-temporal Graph (Student Abstract)Technical
- Efficient and Robust Reinforcement Learning from Human FeedbackTechnical
- Efficiently Enhancing Long-term Series Forecasting via Ultra-long Lookback WindowsTechnical
- EigenSR: Eigenimage-Bridged Pre-Trained RGB Learners for Single Hyperspectral Image Super-ResolutionTechnical
- Elevating Flow-Guided Video Inpainting with Reference GenerationTechnical
- Eliciting Causal Abilities in Large Language Models for Reasoning TasksTechnical
- Embedding Robust Watermarking into Pattern to Protect the Copyright of Ceramic ArtifactsTechnical
- Embodied AI for Smart Robotic Cells in Manufacturing ApplicationsTechnical
- Emergence-Inspired Multi-Granularity Causal LearningTechnical
- EmoReg: Directional Latent Vector Modeling for Emotional Intensity Regularization in Diffusion-based Voice ConversionTechnical
- Empowering Educators in AI: Insights from Co-Designing an AI Microcredential with and for K-12 EducatorsTechnical
- Empowering Self-Learning of LLMs: Inner Knowledge Explicitation as a CatalystTechnical
- Enabling Region-Specific Control via Lassos in Point-Based ColorizationTechnical
- Encoder of Thoughts: Enhancing Planning Ability in Language Agents Through Structural EmbeddingTechnical
- Energy vs. Noise: Towards Robust Temporal Action Localization in Open-WorldTechnical
- Energy-Guided Optimization for Personalized Image Editing with Pretrained Text-to-Image Diffusion ModelsTechnical
- Enhance Modality Robustness in Text-Centric Multimodal Alignment with Adversarial PromptingTechnical
- Enhanced Denesity Peak Clustering for High-Dimensional DataTechnical
- Enhanced Importance Sampling Through Latent Space Exploration in Normalizing FlowsTechnical
- Enhanced Sample Selection with Confidence Tracking: Identifying Correctly Labeled Yet Hard-to-Learn Samples in Noisy DataTechnical
- Enhancing Adversarial Transferability with Adversarial Weight TuningTechnical
- Enhancing Aging Biomarker Research through Large Language Models and Knowledge Graphs (Student Abstract)Technical
- Enhancing Audiovisual Speech Recognition Through Bifocal Preference OptimizationTechnical
- Enhancing Chain of Thought Prompting in Large Language Models via Reasoning PatternsTechnical
- Enhancing Decision Making Through the Integration of Large Language Models and Operations Research OptimizationTechnical
- Enhancing Detection of Relationship Abuse in Text with Multi-task Learning (Student Abstract)Technical
- Enhancing Entertainment Translation for Indian Languages Using Adaptive Context, Style and LLMsTechnical
- Enhancing Generalizability in Molecular Conformation Generation with METRIZATION-Informed Geometric Diffusion PretrainingTechnical
- Enhancing Generalizability via Utilization of Unlabeled Data for Occupancy PerceptionTechnical
- Enhancing Generalized Few-Shot Semantic Segmentation via Effective Knowledge TransferTechnical
- Enhancing Healthcare Recommendations: A Privacy-Protective and Interpretable Cross-Domain FrameworkTechnical
- Enhancing Implicit Neural Representations via Symmetric Power TransformationTechnical
- Enhancing LLMs via High-Knowledge Data SelectionTechnical
- Enhancing Large Language Model Performance with Gradient-Based Parameter SelectionTechnical
- Enhancing Long-and Short-Term Representations for Next POI Recommendations via Frequency and Hierarchical Contrastive LearningTechnical
- Enhancing Low-Light Images: A Synthetic Data Perspective on Practical and Generalizable SolutionsTechnical
- Enhancing Low-Rank Adaptation with Recoverability-Based Reinforcement Pruning for Object CountingTechnical
- Enhancing Masked Time-Series Modeling via Dropping PatchesTechnical
- Enhancing Molecular Representation Learning Through the Combination of 3D and 2D Graph Machine Learning (Student Abstract)Technical
- Enhancing Multi-Hop Fact Verification with Structured Knowledge-Augmented Large Language ModelsTechnical
- Enhancing Multi-View Classification Reliability with Adaptive RejectionTechnical
- Enhancing Multimodal Affective Analysis with Learned Live Comment FeaturesTechnical
- Enhancing Multivariate Time-Series Domain Adaptation via Contrastive Frequency Graph Discovery and Language-Guided Adversary AlignmentTechnical
- Enhancing NLU in Large Language Models Using Adversarial Noisy Instruction TuningTechnical
- Enhancing Noise-Robust Losses for Large-Scale Noisy Data LearningTechnical
- Enhancing Non-English Capabilities of English-Centric Large Language Models Through Deep Supervision Fine-TuningTechnical
- Enhancing Online Reinforcement Learning with Meta-Learned Objective from Offline DataTechnical
- Enhancing Predictive Healthcare Using AI-Driven Early Warning SystemsTechnical
- Enhancing Privacy in the Early Detection of Sexual Predators Through Federated Learning and Differential PrivacyTechnical
- Enhancing Question Generation through Diversity-Seeking Reinforcement Learning with Bilevel Policy DecompositionTechnical
- Enhancing Relation Extraction via Supervised Rationale Verification and FeedbackTechnical
- Enhancing Robustness in Incremental Learning with Adversarial TrainingTechnical
- Enhancing Sequential Recommendation with Global DiffusionTechnical
- Enhancing Vision-Language Models with Morphological and Taxonomic Knowledge: Towards Coral Recognition for Ocean HealthTechnical
- Enhancing the Adversarial Robustness via Manifold ProjectionTechnical
- Enriching Multimodal Sentiment Analysis Through Textual Emotional Descriptions of Visual-Audio ContentTechnical
- Ensuring Class-Conditional Coverage for Pathological Workflows (Student Abstract)Technical
- Entire-Space Variational Information Exploitation for Post-Click Conversion Rate PredictionTechnical
- Entity Only vs. Inline Approaches: Evaluating LLMs for Adverse Drug Event Detection in Clinical Text (Student Abstract)Technical
- Entropy Regularized Task Representation Learning for Offline Meta-Reinforcement LearningTechnical
- Epistemic Bellman OperatorsTechnical
- Equilibria of the Colonel Blotto Games with CostsTechnical
- Equirectangular Point Reconstruction for Domain Adaptive Multimodal 3D Object Detection in Adverse Weather ConditionsTechnical
- Erase Then Rectify: A Training-Free Parameter Editing Approach for Cost-Effective Graph UnlearningTechnical
- Error Analysis Affected by Heavy-Tailed Gradients for Non-Convex Pairwise Stochastic Gradient DescentTechnical
- EvHDR-GS: Event-guided HDR Video Reconstruction with 3D Gaussian SplattingTechnical
- EvHDR-NeRF: Building High Dynamic Range Radiance Fields with Single Exposure Images and EventsTechnical
- EvSTVSR: Event Guided Space-Time Video Super-ResolutionTechnical
- Evaluate with the Inverse: Efficient Approximation of Latent Explanation Quality DistributionTechnical
- Evaluating Index-based Treatment Allocation in Underresourced CommunitiesTechnical
- Evaluating LLM Reasoning in the Operations Research Domain with ORQATechnical
- Evaluation and Incident Prevention in an Enterprise AI AssistantTechnical
- EvdCLIP: Improving Vision-Language Retrieval with Entity Visual Descriptions from Large Language ModelsTechnical
- Eve: Efficient Multimodal Vision Language Models with Elastic Visual ExpertsTechnical
- Event2Tracking: Reconstructing Multi-Agent Soccer Trajectories Using Long-Term Multimodal ContextTechnical
- EventMamba: Enhancing Spatio-Temporal Locality with State Space Models for Event-Based Video ReconstructionTechnical
- EventPillars: Pillar-based Efficient Representations for Event DataTechnical
- EventZoom: A Progressive Approach to Event-Based Data Augmentation for Enhanced Neuromorphic VisionTechnical
- Every Opinion Matters: Evaluating and Building Models with Pluralistic ViewsTechnical
- Everywhere Attack: Attacking Locally and Globally to Boost Targeted TransferabilityTechnical
- Evolutionary Classifier Chain for Multi-Dimensional ClassificationTechnical
- Evolutionary Reinforcement Learning with Parameterized Action Primitives for Diverse Manipulation TasksTechnical
- ExDDI: Explaining Drug-Drug Interaction Predictions with Natural LanguageTechnical
- ExPERT: Modeling Human Behavior Under External Stimuli Aware Personalized MTPPTechnical
- Exact Algorithms and Lower Bounds for Forming Coalitions of Constrained Maximum SizeTechnical
- Exact Algorithms for Multiagent Path Finding with Communication Constraints on Tree-Like StructuresTechnical
- Excluding the Impossible for Open Vocabulary Semantic SegmentationTechnical
- Expand Horizon: Graph Out-of-Distribution Generalization via Multi-Level Environment InferenceTechnical
- Expand VSR Benchmark for VLLM to Expertize in Spatial RulesTechnical
- Expanding the Scope of Negatives: Boosting Image-Text Matching with Negatives Distribution Guided LearningTechnical
- Expected Hypervolume Improvement Is a Particular Hypervolume ImprovementTechnical
- Explainable Neural Networks with Guarantee: A Sparse Estimation ApproachTechnical
- Explainable Robot NavigationTechnical
- Explanation Bottleneck ModelsTechnical
- Explanations for Multi-Agent Reinforcement LearningTechnical
- Explicit Relational Reasoning Network for Scene Text DetectionTechnical
- Explicit and Implicit Examinee-Question Relation Exploiting for Efficient Computerized Adaptive TestingTechnical
- Explicit and Implicit Graduated Optimization in Deep Neural NetworksTechnical
- Explicitly Guided Difficulty-Controllable Visual Question GenerationTechnical
- Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated LearningTechnical
- Exploit Your Latents: Coarse-Grained Protein Backmapping with Latent Diffusion ModelsTechnical
- Exploiting Fine-Grained Skip Behaviors for Micro-Video RecommendationTechnical
- Exploiting Symmetries in MUS ComputationTechnical
- Explore What LLM Does Not Know in Complex Question AnsweringTechnical
- Exploring Conversational Adaptability: Assessing the Proficiency of Large Language Models in Dynamic Alignment with Updated User IntentTechnical
- Exploring Intrinsic Alignments Within Text CorpusTechnical
- Exploring Model Editing for LLM-based Aspect-Based Sentiment ClassificationTechnical
- Exploring More from Multiple Gait Modalities for Human IdentificationTechnical
- Exploring Rationale Learning for Continual Graph LearningTechnical
- Exploring Salient Object Detection with Adder Neural NetworksTechnical
- Exploring Task-Level Optimal Prompts for Visual In-Context LearningTechnical
- Exploring Temporal Event Cues for Dense Video Captioning in Cyclic Co-LearningTechnical
- Exploring Topological Properties in Artificial Neural NetworksTechnical
- Exploring Vacant Classes in Label-Skewed Federated LearningTechnical
- Exploring and Mitigating Implicit Bias in Large Language Models: A Cross-Domain Evaluation FrameworkTechnical
- Exploring the Better Multimodal Synergy Strategy for Vision-Language ModelsTechnical
- Exploring the Efficacy of Multi-Agent Reinforcement Learning for Autonomous Cyber Defence: A CAGE Challenge 4 PerspectiveTechnical
- Exploring the Impact of Age and Class Level on Emotional Perception: A Study of Nigerian Secondary School Girls Using the Reading the Mind in the Eyes Test (Student Abstract)Technical
- Exploring the Potential of Large Vision-Language Models for Unsupervised Text-Based Person RetrievalTechnical
- Exploring the Relationship Between Samples and Masks for Robust Defect LocalizationTechnical
- Exponential-Family Harmoniums with Neural Sufficient StatisticsTechnical
- Extended LSTMs for Knowledge Tracing: Peeking Inside the Black Box (Student Abstract)Technical
- External Reliable Information-enhanced Multimodal Contrastive Learning for Fake News DetectionTechnical
- Extracting PAC Decision Trees from Black Box Binary Classifiers: The Gender Bias Study Case on BERT-based Language ModelsTechnical
- EyEar: Learning Audio Synchronized Human Gaze Trajectory Based on Physics-Informed DynamicsTechnical
- FAMNet: Frequency-aware Matching Network for Cross-domain Few-shot Medical Image SegmentationTechnical
- FAP-CD: Fairness-Driven Age-Friendly Community Planning via Conditional Diffusion GenerationTechnical
- FATE: Feature-Adapted Parameter Tuning for Vision-Language ModelsTechnical
- FBRT-YOLO: Faster and Better for Real-Time Aerial Image DetectionTechnical
- FCOM: A Federated Collaborative Online Monitoring Framework via Representation LearningTechnical
- FEAST-Mamba: FEAture and SpaTial Aware Mamba Network with Bidirectional Orthogonal Fusion for Cross-Modal Point Cloud SegmentationTechnical
- FFCG: Effective and Fast Family Column Generation for Solving Large-Scale Linear ProgramTechnical
- FIND: A Framework for Discovering Formulas in DataTechnical
- FIRM: Flexible Interactive Reflection ReMovalTechnical
- FLUE: Streamlined Uncertainty Estimation for Large Language ModelsTechnical
- FMPM-DNet: Hyperspectral Pansharpening Dynamic Network Based on Feature Modulation and Probability MaskTechnical
- FNIN: A Fourier Neural Operator-based Numerical Integration Network for Surface-from-gradientsTechnical
- FROC: Building Fair ROC from a Trained ClassifierTechnical
- FR²Seg: Continual Segmentation Across Multiple Sites via Fourier Style Replay and Adaptive Consistency RegularizationTechnical
- FSL-Rectifier: Rectify Outliers in Few-Shot Learning via Test-Time AugmentationTechnical
- FSTA-SNN:Frequency-Based Spatial-Temporal Attention Module for Spiking Neural NetworksTechnical
- FaceA-Net: Facial Attribute-Driven ID Preserving Image Generation NetworkTechnical
- FaceMe: Robust Blind Face Restoration with Personal IdentificationTechnical
- FaceSpeak: Expressive and High-Quality Speech Synthesis from Human Portraits of Different StylesTechnical
- Facility Location Games with Optional Preferences: A RevisitTechnical
- Factor Augmented Tensor-on-Tensor Neural NetworksTechnical
- FactorGCL: A Hypergraph-Based Factor Model with Temporal Residual Contrastive Learning for Stock Returns PredictionTechnical
- Fair Division via the Cake-Cutting ShareTechnical
- Fair Division with Market ValuesTechnical
- Fair Division with Social ImpactTechnical
- Fair Federated Survival AnalysisTechnical
- Fair Training with Zero InputsTechnical
- Fair and Efficient Completion of Indivisible GoodsTechnical
- FairTP: A Prolonged Fairness Framework for Traffic PredictionTechnical
- Fairness Shields: Safeguarding against Biased Decision MakersTechnical
- Faithful and Accurate Self-Attention Attribution for Message Passing Neural Networks via the Computation Tree ViewpointTechnical
- FakeDiffer: Distributional Disparity Learning on Differentiated Reconstruction for Face Forgery DetectionTechnical
- Falcon Medical Visual Question AnsweringTechnical
- FashionTailor: Controllable Clothing Editing for Human Images with Appearance PreservingTechnical
- Fast Computing of Dung Semantics in Acyclic Probabilistic Argumentation FrameworksTechnical
- Fast Contiguous Somatic Hypermutations for Single-Objective Optimisation and Multi-Objective Optimisation Via DecompositionTechnical
- Fast Incomplete Multi-view Clustering with Adaptive Similarity Completion and ReconstructionTechnical
- Fast Multi-Instance Partial-Label LearningTechnical
- Fast Omni-Directional Image Super-Resolution: Adapting the Implicit Image Function with Pixel and Semantic-Wise Spherical Geometric PriorsTechnical
- Fast Think-on-Graph: Wider, Deeper and Faster Reasoning of Large Language Model on Knowledge GraphTechnical
- Fast Track to Winning Tickets: Repowering One-Shot Pruning for Graph Neural NetworksTechnical
- Fast and Slow Gradient Approximation for Binary Neural Network OptimizationTechnical
- FastPERT: Towards Fast Microservice Application Latency Prediction via Structural Inductive Bias over PERT NetworksTechnical
- Faster Double Adaptive Gradient MethodsTechnical
- Feature-Structure Adaptive Completion Graph Neural Network for Cold-start RecommendationTechnical
- FedAA: A Reinforcement Learning Perspective on Adaptive Aggregation for Fair and Robust Federated LearningTechnical
- FedCFA: Alleviating Simpson’s Paradox in Model Aggregation with Counterfactual Federated LearningTechnical
- FedCross: Intertemporal Federated Learning Under Evolutionary GamesTechnical
- FedFSL-CFRD: Personalized Federated Few-Shot Learning with Collaborative Feature Representation DisentanglementTechnical
- FedGOG: Federated Graph Out-of-Distribution Generalization with Diffusion Data Exploration and Latent Embedding DecorrelationTechnical
- FedMSGL: A Self-Expressive Hypergraph Based Federated Multi-View LearningTechnical
- FedSA: A Unified Representation Learning via Semantic Anchors for Prototype-based Federated LearningTechnical
- FedSum: Data-Efficient Federated Learning Under Data Scarcity Scenario for Text SummarizationTechnical
- FedVCK: Non-IID Robust and Communication-Efficient Federated Learning via Valuable Condensed Knowledge for Medical Image AnalysisTechnical
- Federated Binary Matrix Factorization Using Proximal OptimizationTechnical
- Federated Causally Invariant Feature LearningTechnical
- Federated Graph Anomaly Detection Through Contrastive Learning with Global Negative PairsTechnical
- Federated Graph-Level Clustering NetworkTechnical
- Federated Learning with Heterogeneous LLMs: Integrating Small Student Client Models with a Large Hungry ModelTechnical
- Federated Learning with Sample-level Client Drift MitigationTechnical
- Federated Recommendation with Explicitly Encoding Item BiasTechnical
- Federated Weakly Supervised Video Anomaly Detection with Multimodal PromptTechnical
- Few-Shot Audio-Visual Class-Incremental Learning with Temporal Prompting and RegularizationTechnical
- Few-Shot Domain Adaptation for Learned Image CompressionTechnical
- Few-Shot Fine-Grained Image Classification with Progressively Feature Refinement and Continuous Relationship ModelingTechnical
- Few-Shot Incremental Learning via Foreground Aggregation and Knowledge Transfer for Audio-Visual Semantic SegmentationTechnical
- Few-Shot, No Problem: Descriptive Continual Relation ExtractionTechnical
- FilterTS: Comprehensive Frequency Filtering for Multivariate Time Series ForecastingTechnical
- Fine-Grained Graph Representation Learning for Heterogeneous Mobile Networks with Attentive Fusion and Contrastive LearningTechnical
- Fine-Grained Perception in Panoramic Scenes: A Novel Task, Dataset, and Method for Object Importance RankingTechnical
AAAI accepted papers in other years
Looking for submission deadlines instead? See the conference deadline calendar.