Notice: The reproducibility variables underlying each score are classified using an automated LLM-based pipeline, validated against a manually labeled dataset. LLM-based classification introduces uncertainty and potential bias; scores should be interpreted as estimates. Full accuracy metrics and methodology are described in Coakley et alK. L. Coakley, T. Snelleman, H. Hoos, and O. E. Gundersen, "The embrace of open science: An analysis of a decade of AI research and 56 800 conference papers," Under Review, 2026..

International Joint Conference on Artificial Intelligence (IJCAI) - 2025

Documentation Rate of Empirical Papers by Reproducibility Variable

Distribution of Empirical Papers by Number of Documented Variables

Website:

Venue Year Papers
Reproducibility Score Reproducibility Score based on Gundersen et al. (2025). See Methods for details.
Documentation Score Documentation Score is the average score over the seven reproducibility variables for empirical research papers. See Methods for details.
% Empirical Percentage of papers that are empirical research vs theoretical research.
% Industry Percentage of empirical research papers with at least one author from Industry.
Website
IJCAI 2025 1015 0.56 3.82 92.32% 17.18%
Pseudocode
Open Source Code
Open Datasets
Dataset Splits
Hardware Specification
Software Dependencies
Experiment Setup
2D Gaussian Splatting for Outdoor Scene Decomposition and Relighting 4
A Case for Validation Buffer in Pessimistic Actor-Critic 4
A Centrality-based Graph Learning Framework 1
A Correlation Manifold Self-Attention Network for EEG Decoding 6
A Cross-Modal Densely Guided Knowledge Distillation Based on Modality Rebalancing Strategy for Enhanced Unimodal Emotion Recognition 4
A Datalog Rewriting Algorithm for Warded Ontologies 6
A Dual Stream Visual Tokenizer for LLM Image Generation 1
A Dynamic Knowledge Update-Driven Model with Large Language Models for Fake News Detection 4
A Dynamic Stiefel Graph Neural Network for Efficient Spatio-Temporal Time Series Forecasting 7
A Fast Neural Architecture Search Method for Multi-Modal Classification via Knowledge Sharing 6
A Fast and Accurate ANN-SNN Conversion Algorithm with Negative Spikes 2
A Fast-Adaptive Cognitive Diagnosis Framework for Computerized Adaptive Testing Systems 3
A Fine-Grained Complexity View on Propositional Abduction - Algorithms and Lower Bounds 1
A Finite-State Controller Based Offline Solver for Deterministic POMDPs 3
A First Runtime Analysis of NSGA-III on a Many-Objective Multimodal Problem: Provable Exponential Speedup via Stochastic Population Update 1
A Game-Theoretic Perspective on Inconsistency Handling 1
A General Framework for Representing Controlled Natural Language Sentences and Translation to KR Formalisms 3
A Generalized Diffusion Framework with Learnable Propagation Dynamics for Source Localization 3
A Hybrid Multi-Factor Network with Dynamic Sequence Modeling for Early Warning of Intraoperative Hypotension 5
A Little Subsidy Ensures MMS Allocation for Three Agents 2
A Logic of General Attention Using Edge-Conditioned Event Models 0
A Logic-Based Approach to Causal Discovery: Signal Temporal Logic Perspective 2
A Logic-based Framework for Decoding Enthymemes in Argument Maps Involving Implicitness in Premises and Claims 3
A Medical Image Classification Network Based on Multi-View Consistent Momentum Contrastive Learning 2
A Methodological Framework for Measuring Spatial Labeling Similarity 3
A Multi-Granularity Clustering Approach for Federated Backdoor Defense with the Adam Optimizer 3
A Multi-view Fusion Approach for Enhancing Speech Signals via Short-time Fractional Fourier Transform 5
A Neuro-Symbolic Framework for Sequence Classification with Relational and Temporal Knowledge 3
A Non-Interventionist Approach to Causal Reasoning Based on Lewisian Counterfactuals 0
A Novel Local Search Algorithm for the Vertex Bisection Minimization Problem 5
A Novel Sparse Active Online Learning Framework for Fast and Accurate Streaming Anomaly Detection Over Data Streams 3
A Primal-dual Perspective for Distributed TD-learning 3
A Prior-based Discrete Diffusion Model for Social Graph Generation 4
A Priori Estimation of the Approximation, Optimization and Generalization Errors of Random Neural Networks for Solving Partial Differential Equations 2
A Reduction-Based Algorithm for the Clique Interdiction Problem 6
A SAT-based Method for Counting All Singleton Attractors in Boolean Networks 6
A Sequent Calculus for Answer Set Entailment 0
A Simple yet Effective Hypergraph Clustering Network 3
A Structural Complexity Analysis of Hierarchical Task Network Planning 0
A Symmetric Relative-Error Loss Function for Intermittent Multiscale Signal Modelling 5
A Theoretical Perspective on Why Stochastic Population Update Needs an Archive in Evolutionary Multi-objective Optimization 3
A Timestep-Adaptive Frequency-Enhancement Framework for Diffusion-based Image Super-Resolution 5
A Unifying Framework for Semiring-Based Constraint Logic Programming With Negation 0
A Weighted-Based Fast Local Search for α-Neighbor p-Center Problem 5
A-I-RAVEN and I-RAVEN-Mesh: Two New Benchmarks for Abstract Visual Reasoning 5
ABNet: Mitigating Sample Imbalance in Anomaly Detection Within Dynamic Graphs 6
ADC-GS: Anchor-Driven Deformable and Compressed Gaussian Splatting for Dynamic Scene Reconstruction 4
ADFormer: Aggregation Differential Transformer for Passenger Demand Forecasting 6
ADPFedGNN: Adaptive Decoupling Personalized Federated Graph Neural Network 3
AKBR: Learning Adaptive Kernel-based Representations for Graph Classification 4
APIMig: A Project-Level Cross-Multi-Version API Migration Framework Based on Evolution Knowledge Graph 2
ARMR: Adaptively Responsive Network for Medication Recommendation 3
ARPDL: Adaptive Relational Prior Distribution Loss as an Adapter for Document-Level Relation Extraction 5
ASCENT-ViT: Attention-based Scale-aware Concept Learning Framework for Enhanced Alignment in Vision Transformers 3
Abstraction Heuristics for Classical Planning Tasks with Conditional Effects 5
AccCtr: Accelerating Training-Free Conditional Control For Diffusion Models 4
Accelerating Adversarial Training on Under-Utilized GPU 6
Accelerating Diffusion-based Super-Resolution with Dynamic Time-Spatial Sampling 2
Accurate Sublayer Pruning for Large Language Models by Exploiting Latency and Tunability Information 5
Active Multimodal Distillation for Few-shot Action Recognition 2
ActiveHAI: Active Collection Based Human-AI Diagnosis with Limited Expert Predictions 6
AdaMixT: Adaptive Weighted Mixture of Multi-Scale Expert Transformers for Time Series Forecasting 4
AdaR: An Adaptive Gradient Method with Cyclical Restarting of Moment Estimations 6
AdaptPFL: Unlocking Cross-Device Palmprint Recognition via Adaptive Personalized Federated Learning with Feature Decoupling 1
Adaptive Deep Learning from Crowds 5
Adaptive Gradient Learning for Spiking Neural Networks by Exploiting Membrane Potential Dynamics 4
Adaptive Graph Unlearning 4
Adaptive Language-Aware Image Reflection Removal Network 5
Adaptive Wizard for Removing Cross-Tier Misconfigurations in Active Directory 3
AdvGrasp: Adversarial Attacks on Robotic Grasping from a Physical Perspective 2
Advancing Community Detection with Graph Convolutional Neural Networks: Bridging Topological and Attributive Cohesion 4
Advancing Embodied Agent Security: From Safety Benchmarks to Input Moderation 5
Advancing Generalization Across a Variety of Abstract Visual Reasoning Tasks 5
Advancing Stain Transfer for Multi-Biomarkers: A Human Annotation-Free Method Based on Auxiliary Task Supervision 6
Adversarial Attacks on Both Face Recognition and Face Anti-spoofing Models 3
Adversarial Propensity Weighting for Debiasing in Collaborative Filtering 4
Adversarial Training for Graph Convolutional Networks: Stability and Generalization Analysis 4
Aggregation Mechanism Based Graph Heterogeneous Networks Distillation 4
Airdrop Games 0
Aligning Contrastive Multiple Clusterings with User Interests 5
All Roads Lead to Rome: Exploring Edge Distribution Shifts for Heterophilic Graph Learning 5
AlphaGAT: A Two-Stage Learning Approach for Adaptive Portfolio Selection 5
Always Clear Depth: Robust Monocular Depth Estimation Under Adverse Weather 4
An Approach to Quantify Plans Robustness in Real-world Applications 2
An Association-based Fusion Method for Speech Enhancement 6
An Efficient Core-Guided Solver for Weighted Partial MaxSAT 4
An End-to-End Simple Clustering Hierarchical Pooling Operation for Graph Learning Based on Top-K Node Selection 5
An Inverse Optimization Approach to Contextual Inverse Optimization 5
An Out-Of-Distribution Membership Inference Attack Approach for Cross-Domain Graph Attacks 3
Antibody Design and Optimization with Multi-scale Equivariant Graph Diffusion Models for Accurate Complex Antigen Binding 3
App2Exa: Accelerating Exact kNN Search via Dynamic Cache-Guided Approximation 6
Approximate Lifted Model Construction 4
Approximate Verification of Strategic Abilities under Imperfect Information Using Local Models 3
Approximated Behavioral Metric-based State Projection for Federated Reinforcement Learning 3
Approximately EFX and fPO Allocations for Bivalued Chores 1
Approximation Fixpoint Theory as a Unifying Framework for Fuzzy Logic Programming Semantics 0
Are Large Language Models Fluent in Declarative Process Mining? 4
Argument-based Multi-Issue Negotiation 1
Assessing the Exposure to Public Knowledge in Policy-Protected Description Logic Ontologies 1
Asset Pricing with Contrastive Adversarial Variational Bayes 3
Asymptotic Analysis of Weighted Fair Division 1
Asymptotic Fair Division: Chores Are Easier Than Goods 1
Asynchronous Credit Assignment for Multi-Agent Reinforcement Learning 2
Attention-based Conditional Random Field for Financial Fraud Detection 5
AttentionDrag: Exploiting Latent Correlation Knowledge in Pre-trained Diffusion Models for Image Editing 4
Attractor-based Closed List Search: Sparsifying the Closed List for Efficient Memory-Constrained Planning 4
Attribute Association Driven Multi-Task Learning for Session-based Recommendation 3
Automated Detection of Pre-training Text in Black-box LLMs 5
Automated Strategy Invention for Confluence of Term Rewrite Systems 5
Automated Superscalar Processor Design by Learning Data Dependencies 4
Avoiding Undesired Future with Sequential Decisions 2
A³-Net: Calibration-Free Multi-View 3D Hand Reconstruction for Enhanced Musical Instrument Learning 4
BEVTrack: A Simple and Strong Baseline for 3D Single Object Tracking in Bird's-Eye View 4
BILE: An Effective Behavior-based Latent Exploration Scheme for Deep Reinforcement Learning 3
BMIP: Bi-directional Modality Interaction Prompt Learning for VLM 1
BRIGHT-VO: Brightness-Guided Hybrid Transformer for Visual Odometry with Multi-modality Refinement Module 5
BTPG: A Platform and Benchmark for Behavior Tree Planning in Everyday Service Robots 5
Backdoor Attack on Vertical Federated Graph Neural Network Learning 5
Balance-Aware Sequence Sampling Makes Multi-Modal Learning Better 6
Balancing Imbalance: Data-Scarce Urban Flow Prediction via Spatio-Temporal Balanced Transfer Learning 4
Balancing Invariant and Specific Knowledge for Domain Generalization with Online Knowledge Distillation 2
Balancing User-Item Structure and Interaction with Large Language Models and Optimal Transport for Multimedia Recommendation 5
Balans: Multi-Armed Bandits-based Adaptive Large Neighborhood Search for Mixed-Integer Programming Problems 5
BankTweak: Adversarial Attack Against Multi-Object Trackers by Manipulating Feature Banks 4
Base-Detail Feature Learning Framework for Visible-Infrared Person Re-Identification 4
Beyond Feature Mapping GAP: Integrating Real HDRTV Priors for Superior SDRTV-to-HDRTV Conversion 2
Beyond Fixed Length: Bucket Pre-training is All You Need 5
Beyond Individual and Point: Next POI Recommendation via Region-aware Dynamic Hypergraph with Dual-level Modeling 3
Beyond Low-rankness: Guaranteed Matrix Recovery via Modified Nuclear Norm 4
Beyond Statistical Analysis: Multimodal Framework for Time Series Forecasting with LLM-Driven Temporal Pattern 3
Beyond Symmetry in Repeated Games with Restarts 1
Beyond Winning Strategies: Admissible and Admissible Winning Strategies for Quantitative Reachability Games 3
Beyond the Known: Decision Making with Counterfactual Reasoning Decision Transformer 4
Beyond the Map: Learning to Navigate Unseen Urban Dynamics Using Diffusion-Guided Deep Reinforcement Learning 6
Bi-DiffCD: Bidirectional Diffusion Guided Collaborative Change Detection for Arbitrary-Modal Remote Sensing Images 3
Bidirectional Search while Ensuring Meet-In-The-Middle via Effective and Efficient-to-Compute Termination Conditions 5
Bimodal Depth-First Search for Scalable GAC for AllDifferent 5
BinMetric: A Comprehensive Binary Code Analysis Benchmark for Large Language Models 3
Binary Event-Driven Spiking Transformer 3
Block Circulant Adapter for Large Language Models 3
Boost Embodied AI Models with Robust Compression Boundary 2
Boosting Few-Shot Open-Set Object Detection via Prompt Learning and Robust Decision Boundary 5
Boosting Visual Knowledge-Intensive Training for LVLMs Through Causality-Driven Visual Object Completion 5
Boosting Zero-shot Stereo Matching Using Large-Scale Mixed Images Sources in the Real World 4
Brain-Inspired Stepwise Patch Merging for Vision Transformers 5
Breaking the Self-Evaluation Barrier: Reinforced Neuro-Symbolic Planning with Large Language Models 4
BridgeVoC: Neural Vocoder with Schrödinger Bridge 4
Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-training 5
Bridging Local and Global Knowledge via Transformer in Board Games 5
CABIN: Debiasing Vision-Language Models Using Backdoor Adjustments 3
CADP: Towards Better Centralized Learning for Decentralized Execution in MARL 4
CAN-ST: Clustering Adaptive Normalization for Spatio-temporal OOD Learning 3
CASA: CNN Autoencoder-based Score Attention for Efficient Multivariate Long-term Time-series Forecasting 2
CD^2: Constrained Dataset Distillation for Few-Shot Class-Incremental Learning 3
CFDONEval: A Comprehensive Evaluation of Operator-Learning Neural Network Models for Computational Fluid Dynamics 6
CFII-Net: Explicit Class Embeddings and Feature Maps Through Iterative Interaction for Boosting Medical Image Segmentation 4
CGI: Identifying Conditional Generative Models with Example Images 4
CLLMRec: Contrastive Learning with LLMs-based View Augmentation for Sequential Recommendation 3
CMFS: CLIP-Guided Modality Interaction for Mitigating Noise in Multi-Modal Image Fusion and Segmentation 5
COGRASP: Co-Occurrence Graph Based Stock Price Forecasting 4
CRAFT: Time Series Forecasting with Cross-Future Behavior Awareness 5
CSAHFL:Clustered Semi-Asynchronous Hierarchical Federated Learning for Dual-layer Non-IID in Heterogeneous Edge Computing Networks 3
CSF-GAN: Cross-modal Semantic Fusion-based Generative Adversarial Network for Text-guided Image Inpainting 3
Can Large Models Teach Student Models to Solve Mathematical Problems Like Human Beings? A Reasoning Distillation Method via Multi-LoRA Interaction 5
Can Retelling Have Adequate Information for Reasoning? An Enhancement Method for Imperfect Video Understanding with Large Language Model 3
Can We Translate Code Better with LLMs and Call Graph Analysis? 3
Can We Verify Step by Step for Incorrect Answer Detection? 3
Cap-and-Penalize: Competitive Mechanisms for Multi-Phase Regularized Online Allocation 1
Capturing Individuality and Commonality Between Anchor Graphs for Multi-View Clustering 3
Categorical Attention: Fine-grained Language-guided Noise Filtering Network for Occluded Person Re-Identification 3
Category-aware EEG Image Generation Based on Wavelet Transform and Contrast Semantic Loss 4
Causal Learning Meet Covariates: Empowering Lightweight and Effective Nationwide Air Quality Forecasting 5
Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism 2
Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting 4
Causality-Inspired Disentanglement for Fair Graph Neural Networks 4
Cause-Effect Driven Optimization for Robust Medical Visual Question Answering with Language Biases 4
ChronoFact: Timeline-based Temporal Fact Verification 3
Circuit-Aware d-DNNF Compilation 5
Co-Learning of Strategy and Structure Achieves Full Cooperation in Complex Networks with Dynamical Linking 3
CoLA-Former: Graph Transformer Using Communal Linear Attention for Lightweight Sequential Recommendation 5
Coalition Obstruction Temporal Logic: A New Obstruction Logic to Reason About Demon Coalitions 1
Code-BT: A Code-Driven Approach to Behavior Tree Generation for Robot Tasks Planning with Large Language Models 2
CoderAgent: Simulating Student Behavior for Personalized Programming Learning with Large Language Models 4
Collaborative Multi-LoRA Experts with Achievement-based Multi-Tasks Loss for Unified Multimodal Information Extraction 5
Combining Deep Reinforcement Learning and Search with Generative Models for Game-Theoretic Opponent Modeling 3
Combining MORL with Restraining Bolts to Learn Normative Behaviour 4
Coming Out of the Dark: Human Pose Estimation in Low-light Conditions 4
Community-Aware Graph Transformer for Brain Disorder Identification 5
CompLex: Music Theory Lexicon Constructed by Autonomous Agents for Automatic Music Generation 4
Computational Complexity of Planning for Recursive Primitive Task Networks: Selective Action Nullification with State Preservation 0
Concentrate on Weakness: Mining Hard Prototypes for Few-Shot Medical Image Segmentation 4
Concurrent Planning and Execution Using Dispatch-Dependent Values 2
Conditional Causal Representation Learning for Heterogeneous Single-cell RNA Data Integration and Prediction 4
Conditional Denoising Meets Polynomial Modeling: A Flexible Decoupled Framework for Time Series Forecasting 5
Conditional Independent Test in the Presence of Measurement Error with Causal Structure Learning 2
Conditional Information Bottleneck-Based Multivariate Time Series Forecasting 4
Connecting Giants: Synergistic Knowledge Transfer of Large Multimodal Models for Few-Shot Learning 3
Consensus-Guided Incomplete Multi-view Clustering via Cross-view Affinities Learning 5
Consistency-Aware Padding for Incomplete Multi-Modal Alignment Clustering Based on Self-Repellent Greedy Anchor Search 4
Constrained Preferential Bayesian Optimization and Its Application in Banner Ad Design 2
Constrained Sequential Inference in Machine Learning Using Constraint Programming 5
Constrained Serial Dictatorships Can Be Fair 3
Constructive Conflict-Driven Multi-Agent Reinforcement Learning for Strategic Diversity 3
Contamination Budget: Trade-offs Between Breadth, Depth and Difficulty 3
Continuous Diffusive Prediction Network for Multi-Station Weather Prediction 7
Continuous-Time Reward Machines 2
Contrastive Cross-Course Knowledge Tracing via Concept Graph Guided Knowledge Transfer 3
Contrastive Unlearning: A Contrastive Approach to Machine Unlearning 5
CorrDetail: Visual Detail Enhanced Self-Correction for Face Forgery Detection 3
Cost-Effective On-Device Sequential Recommendation with Spiking Neural Networks 6
Counterfactual Explanations Under Model Multiplicity and Their Use in Computational Argumentation 0
Counterfactual Explanations for Continuous Action Reinforcement Learning 5
Counterfactual Knowledge Maintenance for Unsupervised Domain Adaptation 4
Counterfactual Strategies for Markov Decision Processes 2
Counterfactual Thinking Driven Emotion Regulation for Image Sentiment Recognition 3
Coupling Category Alignment for Graph Domain Adaptation 2
Credit Assignment and Fine-Tuning Enhanced Reinforcement Learning for Collaborative Spatial Crowdsourcing 5
Critical Node-aware Augmentation for Hypergraph Contrastive Learning 4
Cross-modal Collaborative Representation Learning for Text-to-Image Person Retrieval 4
CrossVTON: Mimicking the Logic Reasoning on Cross-Category Virtual Try-On Guided by Tri-Zone Priors 3
Curriculum Abductive Learning for Mitigating Reasoning Shortcuts 4
Curriculum Hierarchical Knowledge Distillation for Bias-Free Survival Prediction 5
Cyclic Vision-Language Manipulator: Towards Reliable and Fine-Grained Image Interpretation for Automated Report Generation 5
D3: Diversity, Difficulty, and Dependability-Aware Data Selection for Sample-Efficient LLM Instruction Tuning 4
DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation 4
DASS: A Dual-Branch Attention-based Framework for Trajectory Similarity Learning with Spatial and Semantic Fusion 5
DDPA-3DVG: Vision-Language Dual-Decoupling and Progressive Alignment for 3D Visual Grounding 2
DERI: Cross-Modal ECG Representation Learning with Deep ECG-Report Interaction 5
DFCA: Disentangled Feature Contrastive Learning and Augmentation for Fairer Dermatological Diagnostics 2
DFMU: Distribution-based Framework for Modeling Aleatoric Uncertainty in Multimodal Sentiment Analysis 3
DGCPL: Dual Graph Distillation for Concept Prerequisite Relation Learning 5
DGExplainer: Explaining Dynamic Graph Neural Networks via Relevance Back-propagation 2
DGL: Dynamic Global-Local Information Aggregation for Scalable VRP Generalization with Self-Improvement Learning 5
DGraFormer: Dynamic Graph Learning Guided Multi-Scale Transformer for Multivariate Time Series Forecasting 4
DHTAGK: Deep Hierarchical Transitive-Aligned Graph Kernels for Graph Classification 4
DIIN: Diffusion Iterative Implicit Networks for Arbitrary-scale Super-resolution 5
DM-POSA: Enhancing Open-World Test-Time Adaptation with Dual-Mode Matching and Prompt-Based Open Set Adaptation 2
DO-CoLM: Dynamic 3D Conformation Relationships Capture with Self-Adaptive Ordering Molecular Relational Modeling in Language Models 1
DONIS: Importance Sampling for Training Physics-Informed DeepONet 3
DPMamba: Distillation Prompt Mamba for Multimodal Remote Sensing Image Classification with Missing Modalities 5
DToMA: Training-free Dynamic Token MAnipulation for Long Video Understanding 4
DUQ: Dual Uncertainty Quantification for Text-Video Retrieval 4
DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning Under Two-sided Incomplete Information 3
Data Poisoning Attack Defense and Evolutionary Domain Adaptation for Federated Medical Image Segmentation 5
DcDsDiff: Dual-Conditional and Dual-Stream Diffusion Model for Generative Image Tampering Localization 5
Decentralized Online Learning by Selfish Agents in Coalition Formation 1
Decision-Aware Preference Modeling for Multi-Behavior Recommendation 4
Decomposing Inconsistencies: Marginal Contributions and Pooling Techniques 0
Decoupled Imbalanced Label Distribution Learning 5
Decoupling and Reconstructing: A Multimodal Sentiment Analysis Framework Towards Robustness 3
Deduction with Induction: Combining Knowledge Discovery and Reasoning for Interpretable Deep Reinforcement Learning 4
Deep Learning-Based Pedestrian Simulation with Limited Real-World Training Data: An Evaluation Framework 3
Deep Opinion-Unaware Blind Image Quality Assessment by Learning and Adapting from Multiple Annotators 3
Denoise-then-Retrieve: Text-Conditioned Video Denoising for Video Moment Retrieval 4
Denoising Diffusion Models are Good General Gaze Feature Learners 2
DenseSAM: Semantic Enhance SAM for Efficient Dense Object Segmentation 4
DepthART: Monocular Depth Estimation as Autoregressive Refinement Task 3
Detecting Hallucination in Large Language Models Through Deep Internal Representation Analysis 5
Device-Cloud Collaborative Correction for On-Device Recommendation 5
Diff-LMM: Diffusion Teacher-Guided Spatio-Temporal Perception for Video Large Multimodal Models 2
DiffECG: Diffusion Model-Powered Label-Efficient and Personalized Arrhythmia Diagnosis 5
DiffFERV: Diffusion-based Facial Editing of Real Videos 4
DiffSQL: Leveraging Diffusion Model for Zero-Shot Self-Supervised Monocular Depth Estimation 2
Differentiable Prompt Learning for Vision Language Models 5
Diffuse&Refine: Intrinsic Knowledge Generation and Aggregation for Incremental Object Detection 3
Diffusion Guided Propagation Augmentation for Popularity Prediction 3
Diffusion-aware Censored Gaussian Processes for Demand Modelling 4
DiffusionIMU: Diffusion-Based Inertial Navigation with Iterative Motion Refinement 5
Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration 4
Dirichlet Process-Based Robust Clustering Using the Median-of-Means Estimator 6
DisPIM: Distilling PreTrained Image Models for Generalizable Visuo-Motor Control 3
Disconfounding Fake News Video Explanation with Causal Inference 4
Discrete Budget Aggregation: Truthfulness and Proportionality 0
Disentangled and Personalized Representation Learning for Next Point-of-Interest Recommendation 5
Disentangling Multi-view Representations via Curriculum Learning with Learnable Prior 7
Distance Preservation Games 1
Distilling A Universal Expert from Clustered Federated Learning 3
Distributed Cascaded Manifold Hashing Network for Compact Image Set Representation 4
Distribution-Aware Online Learning for Urban Spatiotemporal Forecasting on Streaming Data 6
Divide and Conquer: Coordinating Multiplex Mixture of Graph Learners to Handle Multi-Omics Analysis 3
Dividing Conflicting Items Fairly 1
Do Mentioned Items Truly Matter? Enhancing Conversational Recommender Systems with Causal Intervention and Large Language Models 4
Do You Steal My Model? Signature Diffusion Embedded Dual-Verification Watermarking for Protecting Intellectual Property of Hyperspectral Image Classification Models 2
Drafting and Revision: Advancing High-Fidelity Video Inpainting 3
DriftRemover: Hybrid Energy Optimizations for Anomaly Images Synthesis and Segmentation 6
Dual Encoder Contrastive Learning with Augmented Views for Graph Anomaly Detection 2
Dual Robust Unbiased Multi-View Clustering for Incomplete and Unpaired Information 1
Dual-Agent Reinforcement Learning for Automated Feature Generation 7
Dual-Balancing for Physics-Informed Neural Networks 3
Dual-Perspective United Transformer for Object Segmentation in Optical Remote Sensing Images 5
Dual-level Fuzzy Learning with Patch Guidance for Image Ordinal Regression 5
DualCast: A Model to Disentangle Aperiodic Events from Traffic Series 5
Dyn-D^2P: Dynamic Differentially Private Decentralized Learning with Provable Utility Guarantee 5
Dynamic Anchor-based Ensemble Clustering via Hypergraph Reconstruction 4
Dynamic Higher-Order Relations and Event-Driven Temporal Modeling for Stock Price Forecasting 5
Dynamic Multiple High-order Correlations Fusion with Noise Filtering for Incomplete Multi-view Noisy-label Learning 2
Dynamic Network Discovery via Infection Tracing 4
Dynamic Replanning for Improved Public Transport Routing 5
Dynamic Seed-GrowthCM: A Dynamic Benefit-Oriented Algorithm for Core Maximization on Large Graphs 4
Dynamic and Adaptive Feature Generation with LLM 3
EAVIT: Efficient and Accurate Human Value Identification From Text Data via LLMs 3
ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks 5
EDGE: Efficient Data Selection for LLM Agents via Guideline Effectiveness 4
EDyGS: Event Enhanced Dynamic 3D Radiance Fields from Blurry Monocular Video 4
EF1 and EFX Orientations 1
EFX Feasible Scheduling for Time-dependent Resources 1
EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems 4
ESBN: Estimation Shift of Batch Normalization for Source-free Universal Domain Adaptation 5
EVICheck: Evidence-Driven Independent Reasoning and Combined Verification Method for Fact-Checking 4
EchoGPT: An Interactive Cardiac Function Assessment Model for Echocardiogram Videos 7
Efficient Algorithms for Electing Successive Committees 1
Efficient Constraint-based Window Causal Graph Discovery in Time Series with Multiple Time Lags 4
Efficient Counterexample-Guided Fairness Verification and Repair of Neural Networks Using Satisfiability Modulo Convex Programming 4
Efficient Differentiable Approximation of Generalized Low-rank Regularization 5
Efficient Diversity-based Experience Replay for Deep Reinforcement Learning 3
Efficient Dynamic Ensembling for Multiple LLM Experts 4
Efficient Dynamic Graphs Learning with Refined Batch Parallel Training 5
Efficient Hi-Fi Style Transfer via Statistical Attention and Modulation 2
Efficient Inter-Operator Scheduling for Concurrent Recommendation Model Inference on GPU 3
Efficient Multi-view Clustering via Reinforcement Contrastive Learning 3
Efficient Quantum Approximate kNN Algorithm via Granular-Ball Computing 1
Efficient Visual Representation Learning with Heat Conduction Equation 4
Efficient and Rigorous Model-Agnostic Explanations 4
EfficientPIE: Real-Time Prediction on Pedestrian Crossing Intention with Sole Observation 5
Egocentric Object-Interaction Anticipation with Retentive and Predictive Learning 4
ElaD-Net: An Elastic Semantic Decoupling Network for Lesion Segmentation in Breast Ultrasound Images 5
Electron Density-enhanced Molecular Geometry Learning 5
Empowering Multimodal Road Traffic Profiling with Vision Language Models and Frequency Spectrum Fusion 2
Empowering Vision Transformers with Multi-Scale Causal Intervention for Long-Tailed Image Classification 3
Enabling Visual Foundation Models to Teach Compact Students via Mixture of Distillation 3
Endogenous Recovery via Within-modality Prototypes for Incomplete Multimodal Hashing 4
Endowing Interpretability for Neural Cognitive Diagnosis by Efficient Kolmogorov-Arnold Networks 5
EnergyCompress: A General Case Base Learning Strategy 5
Enhanced Graph Similarity Learning via Adaptive Multi-scale Feature Fusion 2
Enhanced Unsupervised Discriminant Dimensionality Reduction for Nonlinear Data 5
Enhancing Chemical Reaction and Retrosynthesis Prediction with Large Language Model and Dual-task Learning 3
Enhancing Counterfactual Estimation: A Focus on Temporal Treatments 3
Enhancing Long-Tail Bundle Recommendations Utilizing Composition Pattern Modeling 6
Enhancing Mixture of Experts with Independent and Collaborative Learning for Long-Tail Visual Recognition 4
Enhancing Multimodal Model Robustness Under Missing Modalities via Memory-Driven Prompt Learning 5
Enhancing Multimodal Protein Function Prediction Through Dual-Branch Dynamic Selection with Reconstructive Pre-Training 6
Enhancing Nighttime Semantic Segmentation with Visual-Linguistic Priors and Wavelet Transform 3
Enhancing Sampling Protocol for Point Cloud Classification Against Corruptions 5
Enhancing Semantic Clarity: Discriminative and Fine-grained Information Mining for Remote Sensing Image-Text Retrieval 4
Enhancing Table Recognition with Vision LLMs: A Benchmark and Neighbor-Guided Toolchain Reasoner 3
Enhancing Transferability of Audio Adversarial Example for Both Frequency- and Time-domain 3
Enhancing User-Oriented Proactivity in Open-Domain Dialogues with Critic Guidance 4
Enhancing the Performance of Global Model by Improving the Adaptability of Local Models in Federated Learning 2
Equitable Mechanism Design for Facility Location 0
Escaping Saddle Point Efficiently in Minimax and Bilevel Optimizations 3
Evaluating and Mitigating Linguistic Discrimination in Large Language Models: Perspectives on Safety Equity and Knowledge Equity 3
Evolutionary Algorithms Are Significantly More Robust to Noise When They Ignore It 2
Evolvable Conditional Diffusion 2
Exact Algorithms with New Upper Bounds for the Maximum k-plex Problem 5
ExpTalk: Diverse Emotional Expression via Adaptive Disentanglement and Refined Alignment for Speech-Driven 3D Facial Animation 4
Expanding the Category of Classifiers with LLM Supervision 4
ExpertDiff: Head-less Model Reprogramming with Diffusion Classifiers for Out-of-Distribution Generalization 6
Explainable Graph Neural Networks via Structural Externalities 3
Explainable Graph Representation Learning via Graph Pattern Analysis 3
Explaining Black-box Model Predictions via Two-level Nested Feature Attributions with Consistency Property 5
Exploiting Label Skewness for Spiking Neural Networks in Federated Learning 5
Exploiting Position Information in Convolutional Kernels for Structural Re-parameterization 2
Exploiting Self-Refining Normal Graph Structures for Robust Defense against Unsupervised Adversarial Attacks 4
Exploiting Text Semantics for Few and Zero Shot Node Classification on Text-attributed Graph 5
Exploring Efficient and Effective Sequence Learning for Visual Object Tracking 7
Exploring Semantic Masked Autoencoder for Self-supervised Point Cloud Understanding 2
Exploring Transferable Homogenous Groups for Compositional Zero-Shot Learning 4
Exploring the Frontiers of Animation Video Generation in the Sora Era: Method, Dataset and Benchmark 3
Exploring the Over-smoothing Problem of Graph Neural Networks for Graph Classification: An Entropy-based Viewpoint 5
Exploring the Trade-Offs: Quantization Methods, Task Difficulty, and Model Size in Large Language Models From Edge to Giant 5
External Memory Matters: Generalizable Object-Action Memory for Retrieval-Augmented Long-Term Video Understanding 4
EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR 2
FADE: Towards Fairness-aware Data Generation for Domain Generalization via Classifier-Guided Score-based Diffusion Models 2
FAST: A Lightweight Mechanism Unleashing Arbitrary Client Participation in Federated Learning 3
FBQuant: FeedBack Quantization for Large Language Models 5
FCKT: Fine-Grained Cross-Task Knowledge Transfer with Semantic Contrastive Learning for Targeted Sentiment Analysis 3
FGeo-HyperGNet: Geometric Problem Solving Integrating FormalGeo Symbolic System and Hypergraph Neural Network 6
FS-KEN: Few-shot Knowledge Graph Reasoning by Adversarial Negative Enhancing 4
Facets in Argumentation: A Formal Approach to Argument Significance 4
Fair Incomplete Multi-View Clustering via Distribution Alignment 4
Fair Submodular Maximization over a Knapsack Constraint 1
FairSMOE: Mitigating Multi-Attribute Fairness Problem with Sparse Mixture-of-Experts 5
Fast Explanations via Policy Gradient-Optimized Explainer 5
Fast Guaranteed Tensor Recovery with Adaptive Tensor Nuclear Norm 4
Fast Second-Order Online Kernel Learning Through Incremental Matrix Sketching and Decomposition 3
Fast and Stronger Lower Bounds for Planar Euclidean Shortest Paths 4
Fault Diagnosis in REDNet Model Space 5
Featured Argumentation Framework: Semantics and Complexity 0
FedAPA: Server-side Gradient-Based Adaptive Personalized Aggregation for Federated Learning on Heterogeneous Data 7
FedBG: Proactively Mitigating Bias in Cross-Domain Graph Federated Learning Using Background Data 2
FedCCH: Automatic Personalized Graph Federated Learning for Inter-Client and Intra-Client Heterogeneity 5
FedCM: Client Clustering and Migration in Federated Learning via Gradient Path Similarity and Update Direction Deviation 4
FedCPD:Personalized Federated Learning with Prototype-Enhanced Representation and Memory Distillation 4
FedDLAD: A Federated Learning Dual-Layer Anomaly Detection Framework for Enhancing Resilience Against Backdoor Attacks 3
FedHAN: A Cache-Based Semi-Asynchronous Federated Learning Framework Defending Against Poisoning Attacks in Heterogeneous Clients 4
FedSaaS: Class-Consistency Federated Semantic Segmentation via Global Prototype Supervision and Local Adversarial Harmonization 2
Federated Deconfounding and Debiasing Learning for Out-of-Distribution Generalization 4
Federated Domain Generalization with Decision Insight Matrix 4
Federated Multi-view Graph Clustering with Incomplete Attribute Imputation 3
Federated Stochastic Bilevel Optimization with Fully First-Order Gradients 5
Feint and Attack: Jailbreaking and Protecting LLMs via Attention Distribution Modeling 1
Few-Shot Incremental Multi-modal Learning via Touch Guidance and Imaginary Vision Synthesis 5
Few-shot Novel Category Discovery 4
Filling the Missings: Spatiotemporal Data Imputation by Conditional Diffusion 6
Find and Perceive: Tell Visual Change with Fine-Grained Comparison 2
Finding Possible Winners in Spatial Voting with Incomplete Information 0
Fine-Grained and Efficient Self-Unlearning with Layered Iteration 6
Fine-grained Prompt Screening: Defending Against Backdoor Attack on Text-to-Image Diffusion Models 3
Finite-Time Analysis of Heterogeneous Federated Temporal Difference Learning 2
First-Order Coalition Logic 1
FissionVAE: Federated Non-IID Image Generation with Latent Space and Decoder Decomposition 4
Flexible Generalized Low-Rank Regularizer for Tensor RPCA 3
Flow Matching Based Sequential Recommender Model 5
Flow-based Time-aware Causal Structure Learning for Sequential Recommendation 4
ForgDiffuser: General Image Forgery Localization with Diffusion Models 4
Formal Synthesis of Safe Kolmogorov-Arnold Network Controllers with Barrier Certificates 3
FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting 3
Free Lunch of Image-mask Alignment for Anomaly Image Generation and Segmentation 4
FreqLLM: Frequency-Aware Large Language Models for Time Series Forecasting 4
FreqMoE: Dynamic Frequency Enhancement for Neural PDE Solvers 4
Frequency-Aware Deep Depth from Focus 3
From End-to-end to Step-by-step: Learning to Abstract via Abductive Reinforcement Learning 3
From General Relation Patterns to Task-Specific Decision-Making in Continual Multi-Agent Coordination 3
From Individual to Universal: Regularized Multi-view Joint Representation for Multi-view Subspace-Preserving Recovery 2
From Sparse to Complete: Semantic Understanding Based on Stroke Evolution in On-the-fly Sketch-based Image Retrieval 4
Fully Test-Time Adaptation for Feature Decrement in Tabular Data 2
Fusion of Granular-Ball Visual Spatial Representations for Enhanced Facial Expression Recognition 5
G3PT: Unleash the Power of Autoregressive Modeling in 3D Generation via Cross-Scale Querying Transformer 3
GATES: Cost-aware Dynamic Workflow Scheduling via Graph Attention Networks and Evolution Strategy 5
GBGC: Efficient and Adaptive Graph Coarsening via Granular-ball Computing 3
GCNT: Graph-Based Transformer Policies for Morphology-Agnostic Reinforcement Learning 1
GCTAM: Global and Contextual Truncated Affinity Combined Maximization Model For Unsupervised Graph Anomaly Detection 3
GLDiTalker: Speech-Driven 3D Facial Animation with Graph Latent Diffusion Transformer 4
GPI-Net: Gestalt-Guided Parallel Interaction Network via Orthogonal Geometric Consistency for Robust Point Cloud Registration 4
GPL4SRec: Graph Multi-Level Aware Prompt Learning for Streaming Recommendation 4
GRAML: Goal Recognition As Metric Learning 4
GRAPE: Heterogeneous Graph Representation Learning for Genetic Perturbation with Coding and Non-Coding Biotype 5
GSDNet: Revisiting Incomplete Multimodality-Diffusion Emotion Recognition from the Perspective of Graph Spectrum 1
GSDet: Gaussian Splatting for Oriented Object Detection 6
GarmentDiffusion: 3D Garment Sewing Pattern Generation with Multimodal Diffusion Transformers 4
Gaussian Mixture Model for Graph Domain Adaptation 3
General Incomplete Time Series Analysis via Patch Dropping Without Imputation 4
Generalized Safe Conditional Syntax Splitting of Belief Bases 0
Generate or Re-Weight? A Mutual-Guidance Method for Class-Imbalanced Graphs 4
Generic Adversarial Attack Framework Against Vertical Federated Learning 4
Global Information Compensation Network for Image Denoising 4
Going Beyond Consistency: Target-oriented Multi-view Graph Neural Network 5
Good Advisor for Source Localization: Using Large Language Model to Guide the Source Inference Process 4
Gradient-based Causal Feature Selection 3
Granular-Ball-Induced Multiple Kernel K-Means 5
Graph Embedded Contrastive Learning for Multi-View Clustering 3
Graph OOD Detection via Plug-and-Play Energy-based Evaluation and Propagation 3
Graph Prompts: Adapting Video Graph for Video Question Answering 2
Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method 4
GraphAD: Interaction Scene Graph for End-to-end Autonomous Driving 3
GraphProt: Certified Black-Box Shielding Against Backdoored Graph Models 3
Grounding Methods for Neural-Symbolic AI 5
Guiding LLM-based Smart Contract Generation with Finite State Machine 4
Guiding Large Language Models in Modeling Optimization Problems via Question Partitioning 2
HA-SCN: Learning Hierarchical Aligned Subtree Convolutional Networks for Graph Classification 5
HGEN: Heterogeneous Graph Ensemble Networks 4
HGMP: Heterogeneous Graph Multi-Task Prompt Learning 2
HIPP: Protecting Image Privacy via High-Quality Reversible Protected Version 3
HLMTrans: A Sim-to-Real Transfer Framework for Spatial Crowdsourcing with Human-Guided Language Models 3
HPDM: A Hierarchical Popularity-aware Debiased Modeling Approach for Personalized News Recommender 3
HSRMamba: Contextual Spatial-Spectral State Space Model for Single Hyperspectral Image Super-Resolution 5
Handling Infinite Domain Parameters in Planning Through Best-First Search with Delayed Partial Expansions 5
HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model 3
Heterogeneous Federated Learning with Scalable Server Mixture-of-Experts 5
Heterogeneous Temporal Hypergraph Neural Network 2
Heterophily-Aware Personalized PageRank for Node Classification 6
HiTuner: Hierarchical Semantic Fusion Model Fine-Tuning on Text-Attributed Graphs 5
Hierarchy Knowledge Graph for Parameter-Efficient Entity Embedding 3
High-Confident Local Structure Guided Consensus Graph Learning For Incomplete Multi-view Clustering 4
High-Fidelity Road Network Generation with Latent Diffusion Models 3
Higher-order Logical Knowledge Representation Learning 1
How to Mitigate Information Loss in Knowledge Graphs for GraphRAG: Leveraging Triple Context Restoration and Query-Driven Feedback 4
How to Resolve Envy by Adding Goods 0
Human Motion Capture from Loose and Sparse Inertial Sensors with Garment-aware Diffusion Models 3
Human-Imperceptible, Machine-Recognizable Images 6
Human-Readable Neuro-Fuzzy Networks from Frequent Yet Discernible Patterns in Reward-Based Environments 2
Hybrid Local Causal Discovery 2
Hybrid Mesh-Gaussian Representation for Efficient Indoor Scene Reconstruction 3
Hybrid Relational Graphs with Sentiment-laden Semantic Alignment for Multimodal Emotion Recognition in Conversation 5
HyperDet: Source Detection in Hypergraphs via Interactive Relationship Construction and Feature-rich Attention Fusion 4
HyperTrans: Efficient Hypergraph-Driven Cross-Domain Pattern Transfer in Image Anomaly Detection 7
Hypernetwork Aggregation for Decentralized Personalized Federated Learning 3
ID-RemovalNet: Identity Removal Network for EEG Privacy Protection with Enhancing Decoding Tasks 3
IE-PMMA:Point Cloud Completion Through Inverse Edge-aware Upsampling and Precise Multi-Modal Feature Alignment 2
ILIF: Temporal Inhibitory Leaky Integrate-and-Fire Neuron for Overactivation in Spiking Neural Networks 3
INFP: INdustrial Video Anomaly Detection via Frequency Prioritization 3
INT: Instance-Specific Negative Mining for Task-Generic Promptable Segmentation 5
Identifying Causal Mechanism Shifts Under Additive Models with Arbitrary Noise 5
Identifying Drivers of Predictive Aleatoric Uncertainty 4
Identifying and Reusing Learnwares Across Different Label Spaces 4
Image-Enhanced Hybrid Encoding with Reinforced Contrastive Learning for Spatial Domain Identification in Spatial Transcriptomics 6
Imagination-Limited Q-Learning for Offline Reinforcement Learning 3
Imitation Learning via Focused Satisficing 4
Implicitly Aligning Humans and Autonomous Agents through Shared Task Abstractions 5
Improved Approximation Ratio for Strategyproof Facility Location on a Cycle 1
Improved MMS Approximations for Few Agent Types 1
Improved Rank Aggregation Under Fairness Constraint 6
Improvements to the Generate-and-Complete Approach to Conformant Planning 4
Improving Consistency Identification in Task-oriented Dialogue Through Multi-Agent Collaboration 3
Improving Efficiency of Answer Set Planning with Rough Solutions from Large Language Models for Robotic Task Planning 4
Improving Generalization in Meta-Learning via Meta-Gradient Augmentation 3
Improving Prediction Certainty Estimation for Reliable Early Exiting via Null Space Projection 5
Imputation-free Incomplete Multi-view Clustering via Knowledge Distillation 4
In-Context Meta LoRA Generation 4
In-context Learning Demonstration Generation with Text Distillation 4
Incentivizing Safer Actions in Policy Optimization for Constrained Reinforcement Learning 4
Inconsistency Handling in DatalogMTL 0
Inconsistency-Based Federated Active Learning 4
Incorporating Legal Logic into Deep Learning: An Intelligent Approach to Probation Prediction 2
Incorporating Visual Experts to Resolve the Information Loss in Multimodal Large Language Models 3
Indirect Alignment and Relationship Preservation for Domain Generalization 3
Indirect Online Preference Optimization via Reinforcement Learning 4
InfVC: An Inference-Enhanced Local Search Algorithm for the Minimum Vertex Cover Problem in Massive Graphs 6
Inference of Human-derived Specifications of Object Placement via Demonstration 4
Inferring Causal Protein Signaling Networks with Reinforcement Learning via Artificial Bee Colony Neural Architecture Search 5
Initial Models and Serialisability in Abstract Dialectical Frameworks 0
Injecting Imbalance Sensitivity for Multi-Task Learning 5
InnateCoder: Learning Programmatic Options with Foundation Models 5
InstGAN: Instant Actor-Critic-Driven GAN for De Novo Molecule Generation and Property Optimization 3
Instance Relation Learning Network with Label Knowledge Propagation for Few-shot Multi-label Intent Detection 4
Instantiation-based Formalization of Logical Reasoning Tasks Using Language Models and Logical Solvers 4
Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization 4
Integrating Answer Set Programming and Large Language Models for Enhanced Structured Representation of Complex Knowledge in Natural Language 4
Integrating Independent Layer-Wise Rank Selection with Low-Rank SVD Training for Model Compression: A Theory-Driven Approach 4
Integration of Old and New Knowledge for Generalized Intent Discovery: A Consistency-driven Prototype-Prompting Framework 5
Inter3D: A Benchmark and Strong Baseline for Human-Interactive 3D Object Reconstruction 5
Interaction-Data-guided Conditional Instrumental Variables for Debiasing Recommender Systems 2
Interactive Multimodal Learning via Flat Gradient Modification 6
Interpretable DNFs 4
Interval Selection with Binary Predictions 2
Inverse Game Theory: An Incenter-Based Approach 4
IterMeme: Expert-Guided Multimodal LLM for Interactive Meme Creation with Layout-Aware Generation 4
Iterated Belief Change as Learning 3
Joint-Perturbation Simultaneous Pseudo-Gradient 3
K-Buffers: A Plug-in Method for Enhancing Neural Fields with Multiple Buffers 3
KIPPO: Koopman-Inspired Proximal Policy Optimization 3
KP-PINNs: Kernel Packet Accelerated Physics Informed Neural Networks 2
Keypoints as Dynamic Centroids for Unified Human Pose and Segmentation 5
KnowMDD: Knowledge-guided Cross Contrastive Learning for Major Depressive Disorder Diagnosis 4
KnowRA: Knowledge Retrieval Augmented Method for Document-level Relation Extraction with Comprehensive Reasoning Abilities 3
Knowledge Editing for Multi-Hop Question Answering Using Semantic Analysis 4
L2M2: A Hierarchical Framework Integrating Large Language Model and Multi-agent Reinforcement Learning 2
LEKA: LLM-Enhanced Knowledge Augmentation 2
LLM-TPF: Multiscale Temporal Periodicity-Semantic Fusion LLMs for Time Series Forecasting 5
LLM-enhanced Score Function Evolution for Causal Structure Learning 4
LLM4VKG: Leveraging Large Language Models for Virtual Knowledge Graph Construction 3
LP-Based Weighted Model Integration over Non-Linear Real Arithmetic 5
LPDetective: Dusting the LLM Chats for Prompt Template Abusers 6
LRGR: Self-Supervised Incomplete Multi-View Clustering via Local Refinement and Global Realignment 4
LTLf+ and PPLTL+: Extending LTLf and PPLTL to Infinite Traces 1
Label Distribution Learning with Biased Annotations Assisted by Multi-Label Learning 4
Language-Based Bayesian Optimization Research Assistant (BORA) 4
Language-Conditioned Open-Vocabulary Mobile Manipulation with Pretrained Models 5
Language-Guided Hybrid Representation Learning for Visual Grounding on Remote Sensing Images 4
Large-Scale Trade-Off Curve Computation for Incentive Allocation with Cardinality and Matroid Constraints 3
Latte: Transfering LLMs' Latent-level Knowledge for Few-shot Tabular Learning 3
Lazy Testing of Machine-Learning Models 5
Learn Multi-task Anchor: Joint View Imputation and Label Generation for Incomplete Multi-view Clustering 7
Learn from Global Rather Than Local: Consistent Context-Aware Representation Learning for Multi-View Graph Clustering 2
Learn to Think: Bootstrapping LLM Logic Through Graph Representation Learning 3
Learnable Frequency Decomposition for Image Forgery Detection and Localization 3
Learning Advanced Self-Attention for Linear Transformers in the Singular Value Domain 4
Learning Causally Disentangled Representations for Fair Personality Detection 5
Learning Heterogeneous Performance-Fairness Trade-offs in Federated Learning 3
Learning Neural Jump Stochastic Differential Equations with Latent Graph for Multivariate Temporal Point Processes 4
Learning Neural Vocoder from Range-Null Space Decomposition 5
Learning Optimal Oblique Decision Trees with (Max)SAT 4
Learning Probabilistic Temporal Logic Specifications for Stochastic Systems 6
Learning Real Facial Concepts for Independent Deepfake Detection 4
Learning Robust Multi-view Representation Using Dual-masked VAEs 5
Learning from Logical Constraints with Lower- and Upper-Bound Arithmetic Circuits 4
Learning to Explain: Towards Human-Aligned Explainability in Deep Reinforcement Learning via Attention Guidance 3
Learning to Extrapolate and Adjust: Two-Stage Meta-Learning for Concept Drift in Online Time Series Forecasting 5
LensNet: An End-to-End Learning Framework for Empirical Point Spread Function Modeling and Lensless Imaging Reconstruction 5
Let’s Group: A Plug-and-Play SubGraph Learning Method for Memory-Efficient Spatio-Temporal Graph Modeling 5
Leveraging MLLM Embeddings and Attribute Smoothing for Compositional Zero-Shot Learning 4
Leveraging Peer-Informed Label Consistency for Robust Graph Neural Networks with Noisy Labels 4
Leveraging Personalized PageRank and Higher-Order Topological Structures for Heterophily Mitigation in Graph Neural Networks 6
Leveraging Pretrained Diffusion Models for Zero-Shot Part Assembly 4
LiBOG: Lifelong Learning for Black-Box Optimizer Generation 3
Linear Trading Position with Sparse Spectrum 2
ListenNet: A Lightweight Spatio-Temporal Enhancement Nested Network for Auditory Attention Detection 5
LoD: Loss-difference OOD Detection by Intentionally Label-Noisifying Unlabeled Wild Data 6
Localizing Before Answering: A Benchmark for Grounded Medical Visual Question Answering 3
Logarithmic Approximations for Fair k-Set Selection 1
LogiCase: Effective Test Case Generation from Logical Description in Competitive Programming 4
Logic Distillation: Learning from Code Function by Function for Decision-making Tasks 3
Long-Term Individual Causal Effect Estimation via Identifiable Latent Representation Learning 2
Low-Light Video Enhancement via Spatial-Temporal Consistent Decomposition 2
M3ANet: Multi-scale and Multi-Modal Alignment Network for Brain-Assisted Target Speaker Extraction 5
M4Bench: A Benchmark of Multi-domain Multi-granularity Multi-image Understanding for Multi-modal Large Language Models 3
MA-RAG: Automating Role Engineering for RESTful APIs with Multi-Head Attention and Retrieval-Augmented Generation 2
MAGE: Multimodal Alignment and Generation Enhancement via Bridging Visual and Semantic Spaces 6
MASTER: A Multi-granularity Invariant Structure Clustering Scheme for Multi-view Clustering 3
MATCH: Modality-Calibrated Hypergraph Fusion Network for Conversational Emotion Recognition 4
MC3D-AD: A Unified Geometry-aware Reconstruction Model for Multi-category 3D Anomaly Detection 6
MCD-CLIP: Multi-view Chest Disease Diagnosis with Disentangled CLIP 4
MCF-Spouse: A Multi-Label Causal Feature Selection Method with Optimal Spouses Discovery 4
MEGAD: A Memory-Efficient Framework for Large-Scale Attributed Graph Anomaly Detection 5
METOR: A Unified Framework for Mutual Enhancement of Objects and Relationships in Open-vocabulary Video Visual Relationship Detection 5
MGCA-Net: Multi-Graph Contextual Attention Network for Two-View Correspondence Learning 4
MHANet: Multi-scale Hybrid Attention Network for Auditory Attention Detection 4
MIRROR: Multi-agent Intra- and Inter-Reflection for Optimized Reasoning in Tool Learning 4
MMET: A Multi-Input and Multi-Scale Transformer for Efficient PDEs Solving 4
MMGIA: Gradient Inversion Attack Against Multimodal Federated Learning via Intermodal Correlation 2
MMNet: Missing-Aware and Memory-Enhanced Network for Multivariate Time Series Imputation 5
MPPQ: Enhancing Post-Training Quantization for LLMs via Mixed Supervision, Proxy Rounding, and Pre-Searching 5
MS-DPPs: Multi-Source Determinantal Point Processes for Contextual Diversity Refinement of Composite Attributes in Text to Image Retrieval 5
MSCI: Addressing CLIP's Inherent Limitations for Compositional Zero-Shot Learning 5
MSMAR-RL: Multi-Step Masked-Attention Recovery Reinforcement Learning for Safe Maneuver Decision in High-Speed Pursuit-Evasion Game 2
MSVIT: Improving Spiking Vision Transformer Using Multi-scale Attention Fusion 5
MTGIB-UNet: A Multi-Task Graph Information Bottleneck and Uncertainty Weighted Network for ADMET Prediction 3
MTPNet: Multi-Grained Target Perception for Unified Activity Cliff Prediction 2
MVP-CBM: Multi-layer Visual Preference-enhanced Concept Bottleneck Model for Explainable Medical Image Classification 4
M^2LLM: Multi-view Molecular Representation Learning with Large Language Models 2
Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space 5
Mask Does Not Matter: A Unified Latent Diffusion-Enhanced Framework for Mask-Free Virtual Try-On 5
MaskDGNN: Self-Supervised Dynamic Graph Neural Networks with Activeness-aware Temporal Masking 4
Maximin Share Guarantees for Few Agents with Subadditive Valuations 0
Maximum Entropy Softmax Policy Gradient via Entropy Advantage Estimation 4
MedualTime: A Dual-Adapter Language Model for Medical Time Series-Text Multimodal Learning 4
Meta Label Correction with Generalization Regularizer 4
Metapath and Hypergraph Structure-based Multi-Channel Graph Contrastive Learning for Student Performance Prediction 4
MiniMal: Hard-Label Adversarial Attack Against Static Malware Detection with Minimal Perturbation 5
Minimizing Polarization and Disagreement in the Friedkin–Johnsen Model with Unknown Innate Opinions 4
Misclassification-driven Fingerprinting for DNNs Using Frequency-aware GANs 3
Mitigating Message Imbalance in Fraud Detection with Dual-View Graph Representation Learning 3
Mitigating Over-Smoothing in Graph Neural Networks via Separation Coefficient-Guided Adaptive Graph Structure Adjustment 5
Mixture-of-Queries Transformer: Camouflaged Instance Segmentation via Queries Cooperation and Frequency Enhancement 3
Modality-Fair Preference Optimization for Trustworthy MLLM Alignment 2
Modality-Guided Dynamic Graph Fusion and Temporal Diffusion for Self-Supervised RGB-T Tracking 3
Model Rake: A Defense Against Stealing Attacks in Split Learning 4
Model-Based Closed-Loop Control Algorithm for Stochastic Partial Differential Equation Control 4
Modular Deep Reinforcement Learning for Multi-Workload Offloading in Edge Networks 2
MonoMixer: Marrying Convolution and Vision Transformer for Efficient Self-Supervised Monocular Depth Estimation 3
More Efforts Towards Fixed-Parameter Approximability of Multiwinner Rules 1
Most General Explanations of Tree Ensembles 5
Most Probable Explanation in Probabilistic Answer Set Programming 4
MsRAG: Knowledge Augumented Image Captioning with Object-level Multi-source RAG 2
Multi Objective Quantile Based Reinforcement Learning for Modern Urban Planning 3
Multi-Agent Communication with Information Preserving Graph Contrastive Learning 4
Multi-Agent Corridor Generating Algorithm 4
Multi-Label Text Classification with Label Attention Aware and Correlation Aware Contrastive Learning 4
Multi-Modal Point Cloud Completion with Interleaved Attention Enhanced Transformer 4
Multi-Objective Neural Bandits with Random Scalarization 5
Multi-Omics Analysis for Cancer Subtype Inference via Unrolling Graph Smoothness Priors 3
Multi-Organizational Scheduling: Individual Rationality, Optimality, and Complexity 0
Multi-Scale Temporal Neural Network for Stock Trend Prediction Enhanced by Temporal Hyepredge Learning 5
Multi-Sourced Compositional Generalization in Visual Question Answering 3
Multi-Task Curriculum Graph Contrastive Learning with Clustering Entropy Guidance 3
Multi-View Learning with Context-Guided Receptance for Image Denoising 6
Multi-granularity Knowledge Transfer for Continual Reinforcement Learning 2
Multi-modal Anchor Gated Transformer with Knowledge Distillation for Emotion Recognition in Conversation 5
Multi-player Multi-armed Bandits with Delayed Feedback 3
Multi-view Clustering via Multi-granularity Ensemble 3
MultiDreamer3D: Multi-concept 3D Customization with Concept-Aware Diffusion Guidance 1
Multimodal Cancer Survival Analysis via Hypergraph Learning with Cross-Modality Rebalance 4
Multimodal Fake News Detection: MFND Dataset and Shallow-Deep Multitask Learning 3
Multimodal Image Matching Based on Cross-Modality Completion Pre-training 3
Multimodal Inference with Incremental Tabular Attributes 2
Multimodal Inverse Attention Network with Intrinsic Discriminant Feature Exploitation for Fake News Detection 3
Multimodal Knowledge Retrieval-Augmented Iterative Alignment for Satellite Commonsense Conversation 2
Multimodal Prior Learning with Double Constraint Alignment for Snapshot Spectral Compressive Imaging 3
NAAST-GNN: Neighborhood Adaptive Aggregation and Spectral Tuning for Graph Anomaly Detection 3
NS4S: Neighborhood Search for Scheduling Problems Via Large Language Models 5
Navigating Social Dilemmas with LLM-based Agents via Consideration of Future Consequences 1
NeSyA: Neurosymbolic Automata 6
Negative Metric Learning for Graphs 5
NeuBM: Mitigating Model Bias in Graph Neural Networks Through Neutral Input Calibration 2
Neuromorphic Sequential Arena: A Benchmark for Neuromorphic Temporal Processing 4
Neuron Similarity-Based Neural Network Verification via Abstraction and Refinement 5
New Algorithms for #2-SAT and #3-SAT 1
New Sequence-Independent Lifting Techniques for Cover Inequalities and When They Induce Facets 5
No Regret Reinforcement Learning Algorithms for Online Scheduling with Multi-Stage Tasks 2
Noise Optimized Conditional Diffusion for Domain Adaptation 4
Noise-Resistant Label Reconstruction Feature Selection for Partial Multi-Label Learning 4
Non-Obvious Manipulability in Additively Separable and Fractional Hedonic Games 0
Non-collective Calibrating Strategy for Time Series Forecasting 2
Non-expansive Fuzzy ALC 1
Not All Layers of LLMs Are Necessary During Inference 3
Not in My Backyard! Temporal Voting Over Public Chores 0
NuMDS: An Efficient Local Search Algorithm for Minimum Dominating Set Problem 6
OMS: One More Step Noise Searching to Enhance Membership Inference Attacks for Diffusion Models 1
OS-GCL: A One-Shot Learner in Graph Contrastive Learning 4
OT-DETECTOR: Delving into Optimal Transport for Zero-shot Out-of-Distribution Detection 4
Object-Level Backdoor Attacks in RGB-T Semantic Segmentation with Cross-Modality Trigger Optimization 5
Odyssey : Empowering Minecraft Agents with Open-World Skills 3
Omni-Dimensional State Space Model-driven SAM for Pixel-level Anomaly Detection 4
On Definite Iterated Belief Revision with Belief Algebras 1
On Independence and SCC-Recursiveness in Assumption-Based Argumentation 0
On Integrating Logical Analysis of Data into Random Forests 5
On Middle Grounds for Preference Statements 1
On Temporal ASP with Eager Unfoldable Operators 0
On the Discrimination and Consistency for Exemplar-Free Class Incremental Learning 5
On the Generalization of Feature Incremental Learning 3
On the Learning with Augmented Class via Forests 5
On the Power of Optimism in Constrained Online Convex Optimization 2
One-step Label Shift Adaptation via Robust Weight Estimation 5
Online 3D Gaussian Splatting Modeling with Novel View Selection 3
Online Housing Market 1
Online Planning in MDPs with Stochastic Durative Actions 5
Online Resource Sharing: Better Robust Guarantees via Randomized Strategies 3
Open-Vocabulary Fine-Grained Hand Action Detection 5
Open-World Semi-Supervised Learning with Class Semantic Correlations 4
Optical Flow Estimation for Tiny Objects: New Problem, Specialized Benchmark, and Bioinspired Scheme 4
Optimal Capacity Modification for Stable Matchings with Ties 1
Optimal Distributed Training With Co-Adaptive Data Parallelism in Heterogeneous Environments 5
Optimal Metric Distortion for Matching on the Line 1
Optimal Planning to Coordinate Science Data Collection and Downlink for a Constellation of Agile Satellites with Limited Storage 5
Optimal Policy Adaptation Under Covariate Shift 2
Optimal Transport on Categorical Data for Conterfactuals Using Compositional Data and Dirichlet Transport 3
Optimized View and Geometry Distillation from Multi-view Diffuser 5
Optimizing Parameters of Quantum Circuits with Sparsity-Inducing Coordinate Descent 3
Optimizing Personalized Federated Learning Through Adaptive Layer-Wise Learning 6
Outstanding Orthodontist: No More Artifactual Teeth in Talking Face 4
PALA: Class-imbalanced Graph Domain Adaptation via Prototype-anchored Learning and Alignment 4
PAMol: Pocket-Aware Drug Design Method with Hypergraph Representation of Protein Pocket Structure and Feature Fusion 5
PDDFormer: Pairwise Distance Distribution Graph Transformer for Crystal Material Property Prediction 2
PNAct: Crafting Backdoor Attacks in Safe Reinforcement Learning 3
POLO: An LLM-Powered Project-Level Code Performance Optimization Framework 3
POMP: Pathology-omics Multimodal Pre-training Framework for Cancer Survival Prediction 5
PanComplex: Leveraging Complex-Valued Neural Networks for Enhanced Pansharpening 5
Parallel Belief Contraction via Order Aggregation 0
Parallel Belief Revision via Order Aggregation 0
Parameterized Approximation Algorithm for Doubly Constrained Fair Clustering 1
Partial Label Clustering 5
Partially Observable Reference Policy Programming 4
Participatory Budgeting Project Strength via Candidate Control 4
PatternCIR Benchmark and TisCIR: Advancing Zero-Shot Composed Image Retrieval in Remote Sensing 4
PeSANet: Physics-encoded Spectral Attention Network for Simulating PDE-Governed Complex Systems 3
PerfSeer: An Efficient and Accurate Deep Learning Models Performance Predictor 5
Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach 3
Phenotypic Profile-Informed Generation of Drug-Like Molecules via Dual-Channel Variational Autoencoders 6
Physical Adversarial Camouflage Through Gradient Calibration and Regularization 4
Physics-Assisted and Topology-Informed Deep Learning for Weather Prediction 5
Picturized and Recited with Dialects: A Multimodal Chinese Representation Framework for Sentiment Analysis of Classical Chinese Poetry 5
Pixel-wise Divide and Conquer for Federated Vessel Segmentation 4
Point Cloud Mixture-of-Domain-Experts Model for 3D Self-supervised Learning 4
Poisoning-based Backdoor Attacks for Arbitrary Target Label with Positive Triggers 3
Polynomial-Time Relational Probabilistic Inference in Open Universes 0
Pre-defined Keypoints Promote Category-level Articulation Pose Estimation via Multi-Modal Alignment 3
Predicting Spectral Information for Self-Supervised Signal Classification 4
Preference Elicitation for Multi-objective Combinatorial Optimization with Active Learning and Maximum Likelihood Estimation 6
Preference Identification by Interaction Overlap for Bundle Recommendation 3
Preference-based Deep Reinforcement Learning for Historical Route Estimation 4
Preventing Latent Diffusion Model-Based Image Mimicry via Angle Shifting and Ensemble Learning 4
Priority Guided Explanation for Knowledge Tracing with Dual Ranking and Similarity Consistency 1
Privacy Preserving Solution of DCOPs by Local Search 5
ProMEA: Prompt-driven Expansion and Alignment for Single Domain Generalization 4
Proactive Data-driven Scheduling of Business Processes 6
Probabilistic Analysis of Stable Matching in Large Markets with Siblings 3
Probabilistic Multimodal Learning with von Mises-Fisher Distributions 3
Problem-dependent Regret for Lexicographic Multi-Armed Bandits with Adversarial Corruptions 3
Progressive Modality-Adaptive Interactive Network for Multi-Modality Image Fusion 4
Progressive Prefix-Memory Tuning for Complex Logical Query Answering on Knowledge Graphs 5
Projection, Interaction and Fusion: A Progressive Difference Fusion Network for Salient Object Detection 5
Prompt-Aware Controllable Shadow Removal 3
Prompt-Free Conditional Diffusion for Multi-object Image Augmentation 5
Prototype-based Optimal Transport for Out-of-Distribution Detection 3
Prototype-guided Knowledge Propagation with Adaptive Learning for Lifelong Person Re-identification 3
Proven Approximation Guarantees in Multi-Objective Optimization: SPEA2 Beats NSGA-II 1
Pseudo-Label Reconstruction for Partial Multi-Label Learning 2
Public Signaling in Markets with Information Asymmetry Using a Limited Number of Signals 3
Q-Detection: A Quantum-Classical Hybrid Poisoning Attack Detection Method 5
Q-MiniSAM2: A Quantization-based Benchmark for Resource-Efficient Video Segmentation 4
QiMeng-TensorOp: One-Line Prompt is Enough for High-Performance Tensor Operator Generation with Hardware Primitives 4
Quantifying the Self-Interest Level of Markov Social Dilemmas 3
QuantileFormer: Probabilistic Time Series Forecasting with a Pattern-Mixture Decomposed VAE Transformer 2
Query-Based and Unnoticeable Graph Injection Attack from Neighborhood Perspective 5
R2DQG: A Quality Meets Diversity Framework for Question Generation over Knowledge Bases 5
RAMer: Reconstruction-based Adversarial Model for Multi-party Multi-modal Multi-label Emotion Recognition 1
RDPA: Real-Time Distributed-Concentrated Penetration Attack for Point Cloud Learning 4
RLBCD: Residual-guided Latent Brownian-bridge Co-Diffusion for Anatomical-to-Metabolic Image Synthesis 4
RLMiniStyler: Light-weight RL Style Agent for Arbitrary Sequential Neural Style Generation 5
RPMIL: Rethinking Uncertainty-Aware Probabilistic Multiple Instance Learning for Whole Slide Pathology Diagnosis 4
RRG-Mamba: Efficient Radiology Report Generation with State Space Model 3
RTdetector: Deep Transformer Networks for Time Series Anomaly Detection Based on Reconstruction Trend 5
Randomised Optimism via Competitive Co-Evolution for Matrix Games with Bandit Feedback 3
RePST: Language Model Empowered Spatio-Temporal Forecasting via Semantic-Oriented Reprogramming 4
Reasoning About Causal Knowledge in Nondeterministic Domains 0
Recalling The Forgotten Class Memberships: Unlearned Models Can Be Noisy Labelers to Leak Privacy 4
RegionMatch: Pixel-Region Collaboration for Semi-Supervised Semantic Segmentation in Remote Sensing Images 4
Reinforced In-Context Black-Box Optimization 4
Relation-Augmented Dueling Bayesian Optimization via Preference Propagation 4
Relational Decomposition for Program Synthesis 5
Reliable Disentanglement Multi-view Learning Against View Adversarial Attacks 6
Reliable and Calibrated Semantic Occupancy Prediction by Hybrid Uncertainty Learning 3
Reliable and Diverse Hierarchical Adapter for Zero-shot Video Classification 5
RepObE: Representation Learning-Enhanced Obfuscation Encryption Modular Semantic Task Framework 3
ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection 4
Representation Learning with Mutual Influence of Modalities for Node Classification in Multi-Modal Heterogeneous Networks 6
Requirement Patterns for Engineering Multiagent Interaction Protocols 4
Resistance is Futile: Gradually Declining Immunity Retains the Exponential Duration of Immunity-Free Diffusion 0
Responsibility Anticipation and Attribution in LTLf 1
Responsibility Gap in Collective Decision Making 0
Rethinking Contrastive Learning in Graph Anomaly Detection: A Clean-View Perspective 2
Rethinking Federated Graph Learning: A Data Condensation Perspective 3
Rethinking Graph Contrastive Learning Through Relative Similarity Preservation 4
Rethinking Removal Attack and Fingerprinting Defense for Model Intellectual Property Protection: A Frequency Perspective 4
RetroMoE: A Mixture-of-Experts Latent Translation Framework for Single-step Retrosynthesis 4
Revealing Concept Shift in Spatio-Temporal Graphs via State Learning 1
Revisiting Proportional Allocation with Subsidy: Simplification and Improvements 1
Rewarding Explainability in Drug Repurposing with Knowledge Graphs 3
Richer Semantics, Better Alignment: Aligning Visual Features with Explicit and Enriched Semantics for Visible-Infrared Person Re-Identification 4
Riding the Wave: Multi-Scale Spatial-Temporal Graph Learning for Highway Traffic Flow Prediction Under Overload Scenarios 4
Risk-Aware Task Migration for Multiplex Unmanned Swarm Networks in Adversarial Environments 3
RoLocMe: A Robust Multi-agent Source Localization System with Learning-based Map Estimation 4
Robult: Leveraging Redundancy and Modality-Specific Features for Robust Multimodal Learning 3
Robust Finite-Memory Policy Gradients for Hidden-Model POMDPs 5
Robust Graph Contrastive Learning for Incomplete Multi-view Clustering 5
Robust Misinformation Detection by Visiting Potential Commonsense Conflict 5
RobustHAR: Multi-scale Spatial-temporal Masked Self-supervised Pre-training for Robust Human Activity Recognition 5
Robustness in Single-Audience Value-based Abstract Argumentation: Complexity Results 0
Robustness to Spurious Correlations via Dynamic Knowledge Transfer 4
Rolling in Classical Planning with Conditional Effects and Constraints 4
RotateKV: Accurate and Robust 2-Bit KV Cache Quantization for LLMs via Outlier-Aware Adaptive Rotations 5
Rotation Invariant Spatial Networks for Single-View Point Cloud Classification 4
Rule-Guided Reinforcement Learning Policy Evaluation and Improvement 5
Run Like a Neural Network, Explain Like k-Nearest Neighbor 4
S-EPOA: Overcoming the Indistinguishability of Segments with Skill-Driven Preference-Based Reinforcement Learning 3
SALE-MLP: Structure Aware Latent Embeddings for GNN to Graph-free MLP Distillation 5
SAP: Privacy-Preserving Fine-Tuning on Language Models with Split-and-Privatize Framework 2
SCNNs: Spike-based Coupling Neural Networks for Understanding Structural-Functional Relationships in the Human Brain 3
SCOUT: Semi-supervised Camouflaged Object Detection by Utilizing Text and Adaptive Data Selection 6
SCVBench: A Benchmark with Multi-turn Dialogues for Story-Centric Video Understanding 3
SDDiff: Boosting Radar Perception via Spatial-Doppler Diffusion 6
SE(3)-Equivariant Diffusion Models for 3D Object Analysis 3
SEP: A General Lossless Compression Framework with Semantics Enhancement and Multi-Stream Pipelines 6
SIFAR: A Simple Faster Accelerated Variance-Reduced Gradient Method 2
SOTA: Spike-Navigated Optimal TrAnsport Saliency Region Detection in Composite-bias Videos 4
SPoRt - Safe Policy Ratio: Certified Training and Deployment of Task Policies in Model-Free RL 4
SRA-MCTS: Self-driven Reasoning Augmentation with Monte Carlo Tree Search for Code Generation 4
SSTrack: Sample-interval Scheduling for Lightweight Visual Object Tracking 5
ST-TAR: An Efficient Spatio-Temporal Learning Framework for Traffic Accident Risk Forecasting 4
ST-USleepNet: A Spatial-Temporal Coupling Prominence Network for Multi-Channel Sleep Staging 5
STAMImputer: Spatio-Temporal Attention MoE for Traffic Data Imputation 3
STLSP: Integrating Structure and Text with Large Language Models for Link Sign Prediction of Networks 6
Sample-Efficient Behavior Cloning Using General Domain Knowledge 3
Sanitizing Backdoored Graph Neural Networks: A Multidimensional Approach 3
Scalable Multi-Stage Influence Function for Large Language Models via Eigenvalue-Corrected Kronecker-Factored Parameterization 4
Scalable Speed-ups for the SMS-EMOA from a Simple Aging Strategy 2
Screening, Rectifying, and Re-Screening: A Unified Framework for Tuning Vision-Language Models with Noisy Labels 3
SecV: LLM-based Secure Verilog Generation with Clue-Guided Exploration on Hardware-CWE Knowledge Graph 4
Secure and Efficient Watermarking for Latent Diffusion Models in Model Distribution Scenarios 4
Seeing the Unseen: Composing Outliers for Compositional Zero-Shot Learning 3
Seeking Proxy Point via Stable Feature Space for Noisy Correspondence Learning 5
Self-Classification Enhancement and Correction for Weakly Supervised Object Detection 3
Self-Consistent Model-based Adaptation for Visual Reinforcement Learning 2
Self-calibration Enhanced Whole Slide Pathology Image Analysis 3
Self-supervised End-to-end ToF Imaging Based on RGB-D Cross-modal Dependency 4
Semantic-Guided Diffusion Model for Single-Step Image Super-Resolution 5
Semantic-Space-Intervened Diffusive Alignment for Visual Classification 5
Semi-Clairvoyant Scheduling of Speculative Decoding Requests to Minimize LLM Inference Latency 5
Sentiment-enhanced Multi-hop Connected Graph Attention Network for Multimodal Aspect-Based Sentiment Analysis 5
SepALM: Audio Language Models Are Error Correctors for Robust Speech Separation 4
SeqPose: An End-to-End Framework to Unify Single-frame and Video-based RGB Category-Level Pose Estimation 5
Set-Based Retrograde Analysis: Precomputing the Solution to 28-card Bridge Double Dummy Deals 4
SetKE: Knowledge Editing for Knowledge Elements Overlap 4
Settling the Complexity of Popularity in Additively Separable and Fractional Hedonic Games 0
Shaping a Stabilized Video by Mitigating Unintended Changes for Concept-Augmented Video Editing 4
Sharpness-aware Zeroth-order Optimization for Graph Transformers 4
ShortcutProbe: Probing Prediction Shortcuts for Learning Robust Models 4
Simulate, Refine and Integrate: Strategy Synthesis for Efficient SMT Solving 6
Simulating Misinformation Diffusion on Social Media Through CoNVaI: A Textual- and Agent-Based Diffusion Model 5
Single-Node Trigger Backdoor Attacks in Graph-Based Recommendation Systems 3
Situational-Constrained Sequential Resources Allocation via Reinforcement Learning 2
Sketch Decompositions for Classical Planning via Deep Reinforcement Learning 5
SketchAgent: Generating Structured Diagrams from Hand-Drawn Sketches 4
Smart Contracts for Trustless Sampling of Correlated Equilibria 2
Smoothed Online Convex Optimization with Delayed Feedback 3
SocialMP: Learning Social Aware Motion Patterns via Additive Fusion for Pedestrian Trajectory Prediction 3
Soft Reasoning Paths for Knowledge Graph Completion 4
Solving Copyright Infringement on Short Video Platforms: Novel Datasets and an Audio Restoration Deep Learning Pipeline 4
Solving MDPs with LTLf+ and PPLTL+ Temporal Objectives 0
Solving QNP and FOND+ with Generating, Testing and Forbidding 5
SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs 4
Spatial-Spectral Similarity-Guided Fusion Network for Pansharpening 4
Spatially Resolved Transcriptomics Data Clustering with Tailored Spatial-scale Modulation 3
Spatio-temporal Prototype-based Hierarchical Learning for OD Demand Prediction 2
SpectralGap: Graph-Level Out-of-Distribution Detection via Laplacian Eigenvalue Gaps 3
Speeding Up Hyper-Heuristics With Markov-Chain Operator Selection and the Only-Worsening Acceptance Operator 1
Spotlighting Partially Visible Cinematic Language for Video-to-Audio Generation via Self-distillation 4
Squeezing Context into Patches: Towards Memory-Efficient Ultra-High Resolution Semantic Segmentation 5
Stability and Generalization for Stochastic (Compositional) Optimizations 2
Stabilizing Holistic Semantics in Diffusion Bridge for Image Inpainting 3
Stackelberg vs. Nash in the Lottery Colonel Blotto Game 0
StarFT: Robust Fine-tuning of Zero-shot Models via Spuriosity Alignment 4
State Feedback Enhanced Graph Differential Equations for Multivariate Time Series Forecasting 4
State Revisit and Re-explore: Bridging Sim-to-Real Gaps in Offline-and-Online Reinforcement Learning with An Imperfect Simulator 3
Steady-State Strategy Synthesis for Swarms of Autonomous Agents 5
Stochasticity-aware No-Reference Point Cloud Quality Assessment 5
Strategies, Credences, and Shannon Entropy: Reasoning about Strategic Uncertainty in Stochastic Environments 0
Strategy-Architecture Synergy: A Multi-View Graph Contrastive Paradigm for Consistent Representations 3
Strategyproofness and Monotone Allocation of Auction in Social Networks 1
Streaming Multi-agent Pathfinding 5
Structure-Aware Handwritten Text Recognition via Graph-Enhanced Cross-Modal Mutual Learning 4
Subgraph Information Bottleneck with Causal Dependency for Stable Molecular Relational Learning 2
Suit the Node Pair to the Case: A Multi-Scale Node Pair Grouping Strategy for Graph-MLP Distillation 5
SyncAnimation: A Real-Time End-to-End Framework for Audio-Driven Human Pose and Talking Head Animation 3
SyncGaussian: Stable 3D Gaussian-Based Talking Head Generation with Enhanced Lip Sync via Discriminative Speech Features 4
Synthesis of Communication Policies for Multi-Agent Systems Robust to Communication Restrictions 3
T-T: Table Transformer for Tagging-based Aspect Sentiment Triplet Extraction 5
T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models 5
TCDM: A Temporal Correlation-Empowered Diffusion Model for Time Series Forecasting 2
TEST-V: TEst-time Support-set Tuning for Zero-shot Video Classification 2
TESTN: A Triad-Enhanced Spatio-Temporal Network for Multi-Temporal POI Relationship Inference 4
TOTF: Missing-Aware Encoders for Clustering on Multi-View Incomplete Attributed Graphs 3
TP-Eval: Tap Multimodal LLMs' Potential in Evaluation by Customizing Prompts 3
TSTAI: A Time-varying Brain Effective Connectivity Network Construction Method Combining with Brain Active Information 2
Tackling Long-Tailed Data Challenges in Spiking Neural Networks via Heterogeneous Knowledge Distillation 3
Template-based Uncertainty Multimodal Fusion Network for RGBT Tracking 5
Template3D-AD: Point Cloud Template Matching Method Based on Center Points for 3D Anomaly Detection 4
Temporal Consistency Constrained Transferable Adversarial Attacks with Background Mixup for Action Recognition 5
Tensorial Multi-view Clustering with Deep Anchor Graph Projection 4
Test-Time Adaptation on Recommender System with Data-Centric Graph Transformation 4
TextMEF: Text-guided Prompt Learning for Multi-exposure Image Fusion 4
The Core of Approval-Based Committee Elections with Few Seats 4
The Devil is in Fine-tuning and Long-tailed Problems: A New Benchmark for Scene Text Detection 4
The First Theoretical Approximation Guarantees for the Non-Dominated Sorting Genetic Algorithm III (NSGA-III) 3
The Proportional Veto Principle for Approval Ballots 1
The Role of Video Generation in Enhancing Data-Limited Action Understanding 3
Theoretical Analysis of Evolutionary Algorithms with Quality Diversity for a Classical Path Planning Problem 1
Theoretical Insights into Fine-Tuning Attention Mechanism: Generalization and Optimization 4
Think Twice Before Adaptation: Improving Adaptability of DeepFake Detection via Online Test-Time Adaptation 3
Tight Runtime Guarantees From Understanding the Population Dynamics of the GSEMO Multi-Objective Evolutionary Algorithm 1
Time-Frequency Disentanglement Boosted Pre-Training: A Universal Spatio-Temporal Modeling Framework 2
Token-Level Accept or Reject: A Micro Alignment Approach for Large Language Models 4
Top-Down Guidance for Learning Object-Centric Representations 3
Top-I2P: Explore Open-Domain Image-to-Point Cloud Registration Using Topology Relationship 3
Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models 3
Towards Anytime Retrieval: A Benchmark for Anytime Person Re-Identification 3
Towards Automatic Sampling of User Behaviors for Sequential Recommender Systems 5
Towards Debiased Generalized Category Discovery 3
Towards Equilibrium: An Instantaneous Probe-and-Rebalance Multimodal Learning Approach 6
Towards Fairness with Limited Demographics via Disentangled Learning 2
Towards Generalizable Neural Simulators: Addressing Distribution Shifts Induced by Environmental and Temporal Variations 3
Towards Improved Risk Bounds for Transductive Learning 0
Towards Micro-Action Recognition with Limited Annotations: An Asynchronous Pseudo Labeling and Training Approach 4
Towards Recognizing Spatial-temporal Collaboration of EEG Phase Brain Networks for Emotion Understanding 4
Towards Region-Adaptive Feature Disentanglement and Enhancement for Small Object Detection 5
Towards Regularized Mixture of Predictions for Class-Imbalanced Semi-Supervised Facial Expression Recognition 6
Towards Robust Deterministic and Probabilistic Modeling for Predictive Learning 4
Towards Robust Incremental Learning Under Ambiguous Supervision 2
Towards Safer Pretraining: Analyzing and Filtering Harmful Content in Webscale Datasets for Responsible LLMs 4
Towards VLM-based Hybrid Explainable Prompt Enhancement for Zero-Shot Industrial Anomaly Detection 3
Towards a Unified View of Social Laws with Instantaneous Actions 5
Trace: Structural Riemannian Bridge Matching for Transferable Source Localization in Information Propagation 2
Training-free Fourier Phase Diffusion for Style Transfer 3
TrajCogn: Leveraging LLMs for Cognizing Movement Patterns and Travel Purposes from Trajectories 5
Trajectory-Dependent Generalization Bounds for Pairwise Learning with φ-mixing Samples 1
Transferable Relativistic Predictor: Mitigating Cross-Task Cold-Start Issue in NAS 3
Tree-of-AdEditor: Heuristic Tree Reasoning for Automated Video Advertisement Editing with Large Language Model 5
TreeKV: Smooth Key-Value Cache Compression with Tree Structures 4
TsCA: On the Semantic Consistency Alignment via Conditional Transport for Compositional Zero-Shot Learning 5
Two-Stage Feature Generation with Transformer and Reinforcement Learning 4
Two-stage Risk Control with Application to Ranked Retrieval 2
UltraModel: A Modeling Paradigm for Industrial Objects 0
Uncertainty-guided Graph Contrastive Learning from a Unified Perspective 2
Underground Diagnosis in 3D GPR Data by Learning in CuCoRes Model Space 4
Understanding Matters: Semantic-Structural Determined Visual Relocalization for Large Scenes 4
Understanding Visual Detail Hallucinations of Large Vision-Language Models 3
UniCT Depth: Event-Image Fusion Based Monocular Depth Estimation with Convolution-Compensated ViT Dual SA Block 3
Universal Backdoor Defense via Label Consistency in Vertical Federated Learning 5
Universal Graph Self-Contrastive Learning 4
Unleashing the Potential of Transformer Flow for Photorealistic Face Restoration 2
Unleashing the Semantic Adaptability of Controlled Diffusion Model for Image Colorization 5
Unlocking Dark Vision Potential for Medical Image Segmentation 3
Unlocking the Potential of Lightweight Quantized Models for Deepfake Detection 2
Unsupervised Feature Transformation via In-context Generation, Generator-critic LLM Agents, and Duet-play Teaming 2
Unveiling Maternity and Infant Care Conversations: A Chinese Dialogue Dataset for Enhanced Parenting Support 3
Unveiling the Power of Noise Priors: Enhancing Diffusion Models for Mobile Traffic Prediction 4
Using Planning for Automated Testing of Video Games 1
VQCounter: Designing Visual Prompt Queue for Accurate Open-World Counting 4
Variational Graph Auto-Encoder Driven Graph Enhancement for Sequential Recommendation 4
Variational Multi-Modal Hypergraph Attention Network for Multi-Modal Relation Extraction 2
Variational Offline Multi-agent Skill Discovery 4
Variety-Seeking Jump Games on Graphs 0
VeRecycle: Reclaiming Guarantees from Probabilistic Certificates for Stochastic Dynamical Systems after Change 4
Verified Certificates via SAT and Computer Algebra Systems for the Ramsey R(3,8) and R(3,9) Problems 4
Verifying Quantized Graph Neural Networks is PSPACE-complete 2
VidEvo: Evolving Video Editing through Exhaustive Temporal Modeling 3
VideoHumanMIB: Unlocking Appearance Decoupling for Video Human Motion In-betweening 4
View-Association-Guided Dynamic Multi-View Classification 3
VimGeo: Efficient Cross-View Geo-Localization with Vision Mamba Architecture 5
Viral Marketing and Convergence Properties in Generalised Voter Model 2
Visual Perturbation and Adaptive Hard Negative Contrastive Learning for Compositional Reasoning in Vision-Language Models 4
Volumetric Axial Disentanglement Enabling Advancing in Medical Image Segmentation 4
WDMIR: Wavelet-Driven Multimodal Intent Recognition 3
Wave-driven Graph Neural Networks with Energy Dynamics for Over-smoothing Mitigation 4
Wave-wise Discriminative Tracking by Phase-Amplitude Separation, Augmentation and Mixture 4
Wavelet Multi-scale Region-Enhanced Network for Medical Image Segmentation 4
Weakly-supervised Audio Temporal Forgery Localization via Progressive Audio-language Co-learning Network 5
WenyanGPT: A Large Language Model for Classical Chinese Tasks 3
What Can We Learn From MIMO Graph Convolutions? 5
What Makes You Special? Contrastive Heuristics Based on Qualified Dominance 3
Where Does This Data Come From? Enhanced Source Inference Attacks in Federated Learning 3
Where and How to Enhance: Discovering Bit-Width Contribution for Mixed Precision Quantization 4
Where and When: Predict Next POI and Its Explicit Timestamp in Sequential Recommendation 4
Why the Agent Made that Decision: Contrastive Explanation Learning for Reinforcement Learning 3
Wisdom from Diversity: Bias Mitigation Through Hybrid Human-LLM Crowds 4
Witnesses for Answer Sets of Basic Logic Programs 1
Wrapped Partial Label Dimensionality Reduction via Dependence Maximization 4
X-KAN: Optimizing Local Kolmogorov-Arnold Networks via Evolutionary Rule-Based Machine Learning 6
Zero-Shot Machine Unlearning with Proxy Adversarial Data Generation 4
Zero-shot Federated Unlearning via Transforming from Data-Dependent to Personalized Model-Centric 5
Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts 3
fairGNN-WOD: Fair Graph Learning Without Complete Demographics 2
kgMBQA: Quality Knowledge Graph-driven Multimodal Blind Image Assessment 4
scSiameseClu: A Siamese Clustering Framework for Interpreting Single-cell RNA Sequencing Data 3
Α Descent-based Method on the Duality Gap for Solving Zero-sum Games 3