International Joint Conference on Artificial Intelligence (IJCAI) - 2024

Conference Proceedings:

Key: PC - Pseudocode, OSC - Open Source Code, OSD - Open Datasets, DS - Dataset Splits, HS - Hardware Specification, SD - Software Dependencies, ES - Experiment Setup

1DFormer: A Transformer Architecture Learning 1D Landmark Representations for Facial Landmark Tracking 2
3D Vision and Language Pretraining with Large-Scale Synthetic Data 4
3DBench: A Scalable 3D Benchmark and Instruction-Tuning Dataset 4
A Behavior-Aware Approach for Deep Reinforcement Learning in Non-stationary Environments without Known Change Points 3
A Better Approximation for Bipartite Traveling Tournament in Inter-League Sports Scheduling 5
A Bias-Free Revenue-Maximizing Bidding Strategy for Data Consumers in Auction-based Federated Learning 3
A Coarse-to-Fine Fusion Network for Event-Based Image Deblurring 3
A Cognitive-Driven Trajectory Prediction Model for Autonomous Driving in Mixed Autonomy Environments 3
A Complete Landscape of EFX Allocations on Graphs: Goods, Chores and Mixed Manna 0
A Conservative Approach for Few-Shot Transfer in Off-Dynamics Reinforcement Learning 4
A Consistency and Integration Model with Adaptive Thresholds for Weakly Supervised Object Localization 3
A Context-Enhanced Framework for Sequential Graph Reasoning 4
A Dataset and Model for Realistic License Plate Deblurring 4
A De-singularity Subgradient Approach for the Extended Weber Location Problem 5
A Deep Probabilistic Spatiotemporal Framework for Dynamic Graph Representation Learning with Application to Brain Disorder Identification 3
A Deep Reinforcement Learning Approach to Balance Viewport Prediction and Video Transmission in 360° Video Streaming 2
A Density-driven Iterative Prototype Optimization for Transductive Few-shot Learning 3
A Fast Algorithm for MaxSAT above Half Number of Clauses 0
A Fourier Perspective of Feature Extraction and Adversarial Robustness 3
A General Black-box Adversarial Attack on Graph-based Fake News Detectors 2
A Graph-based Representation Framework for Trajectory Recovery via Spatiotemporal Interval-Informed Seq2Seq 5
A Grassmannian Manifold Self-Attention Network for Signal Classification 6
A Lightweight U-like Network Utilizing Neural Memory Ordinary Differential Equations for Slimming the Decoder 4
A Logic for Reasoning about Aggregate-Combine Graph Neural Networks 0
A Meta-Game Evaluation Framework for Deep Multiagent Reinforcement Learning 3
A Multi-Valued Decision Diagram-Based Approach to Constrained Optimal Path Problems over Directed Acyclic Graphs 5
A Neural Column Generation Approach to the Vehicle Routing Problem with Two-Dimensional Loading and Last-In-First-Out Constraints 3
A New Guaranteed Outlier Removal Method Based on Plane Constraints for Large-Scale LiDAR Point Cloud Registration 3
A New Paradigm for Counterfactual Reasoning in Fairness and Recourse 4
A Prior-information-guided Residual Diffusion Model for Multi-modal PET Synthesis from MRI 2
A SAT Solver + Computer Algebra Attack on the Minimum Kochen–Specker Problem 4
A Self-explaining Neural Architecture for Generalizable Concept Learning 2
A Semi-supervised Molecular Learning Framework for Activity Cliff Estimation 2
A Strategic Analysis of Prepayments in Financial Credit Networks 0
A Successful Strategy for Multichannel Iterated Prisoner’s Dilemma 1
A Swap Relaxation-Based Local Search for the Latin Square Completion Problem 6
A Tensor-Based Formalization of the Event Calculus 5
A Top-Down Tree Model Counter for Quantified Boolean Formulas 4
A Transformer-Based Adaptive Prototype Matching Network for Few-Shot Semantic Segmentation 4
ABM: Attention before Manipulation 4
ADELT: Transpilation between Deep Learning Frameworks 4
ADMN: Agent-Driven Modular Network for Dynamic Parameter Sharing in Cooperative Multi-Agent Reinforcement Learning 2
AK4Prompts: Aesthetics-driven Automatically Keywords-Ranking for Prompts in Text-To-Image Models 4
AMO-aware Aggregates in Answer Set Programming 5
ATTA: Adaptive Test-Time Adaptation for Multi-Modal Sleep Stage Classification 2
Accelerating Diffusion Models for Inverse Problems through Shortcut Sampling 4
Active Deep Multi-view Clustering 5
Adaptive Order Q-learning 4
Advancing Generalized Transfer Attack with Initialization Derived Bilevel Optimization and Dynamic Sequence Truncation 3
Advancing Medical Image Segmentation via Self-supervised Instance-adaptive Prototype Learning 5
Agentive Permissions in Multiagent Systems 0
Aggregation and Purification: Dual Enhancement Network for Point Cloud Few-shot Segmentation 4
Aggregation of Continuous Preferences in One Dimension 0
AllMatch: Exploiting All Unlabeled Data for Semi-Supervised Learning 2
Alleviating Imbalanced Pseudo-label Distribution: Self-Supervised Multi-Source Domain Adaptation with Label-specific Confidence 4
Allocating Mixed Goods with Customized Fairness and Indivisibility Ratio 1
An Archive Can Bring Provable Speed-ups in Multi-Objective Evolutionary Algorithms 2
An Efficient Prototype-Based Clustering Approach for Edge Pruning in Graph Neural Networks to Battle Over-Smoothing 2
An Image-enhanced Molecular Graph Representation Learning Framework 4
An NCDE-based Framework for Universal Representation Learning of Time Series 3
AnchorGT: Efficient and Flexible Attention Architecture for Scalable Graph Transformers 5
Angluin-Style Learning of Deterministic Büchi and Co-Büchi Automata 2
Anomaly Subgraph Detection through High-Order Sampling Contrastive Learning 4
Ansatz-Agnostic Exponential Resource Saving in Variational Quantum Algorithms Using Shallow Shadows 1
Anytime Sorting Algorithms 3
Apprenticeship-Inspired Elegance: Synergistic Knowledge Distillation Empowers Spiking Neural Networks for Efficient Single-Eye Emotion Recognition 3
Approximate Algorithms for k-Sparse Wasserstein Barycenter with Outliers 2
Approximate Dec-POMDP Solving Using Multi-Agent A* 4
Are Logistic Models Really Interpretable? 2
Are Watermarks Bugs for Deepfake Detectors? Rethinking Proactive Forensics 4
Atomic Recovery Property for Multi-view Subspace-Preserving Recovery 0
Attention Based Document-level Relation Extraction with None Class Ranking Loss 4
Attention Shifting to Pursue Optimal Representation for Adapting Multi-granularity Tasks 3
Attribution Quality Metrics with Magnitude Alignment 3
AutoAgents: A Framework for Automatic Agent Generation 5
Automated CPU Design by Learning from Input-Output Examples 3
Automatic De-Biased Temporal-Relational Modeling for Stock Investment Recommendation 4
BADFSS: Backdoor Attacks on Federated Self-Supervised Learning 4
BATON: Aligning Text-to-Audio Model Using Human Preference Feedback 2
BadFusion: 2D-Oriented Backdoor Attacks against 3D Object Detection 4
Balancing Multimodal Learning via Online Logit Modulation 4
Bandits with Concave Aggregated Reward 2
Best Arm Identification with Retroactively Increased Sampling Budget for More Resource-Efficient HPO 4
Beyond Alignment: Blind Video Face Restoration via Parsing-Guided Temporal-Coherent Transformer 3
Beyond What If: Advancing Counterfactual Text Generation with Structural Causal Modeling 1
BeyondVision: An EMG-driven Micro Hand Gesture Recognition Based on Dynamic Segmentation 2
BlockEcho: Retaining Long-Range Dependencies for Imputing Block-Wise Missing Data 2
BoostDream: Efficient Refining for High-Quality Text-to-3D Generation from Multi-View Diffusion 4
Boosting Diffusion Models with an Adaptive Momentum Sampler 5
Boosting Efficiency in Task-Agnostic Exploration through Causal Knowledge 3
Boosting Model Resilience via Implicit Adversarial Data Augmentation 5
Boosting Single Positive Multi-label Classification with Generalized Robust Loss 4
Boundary-aware Decoupled Flow Networks for Realistic Extreme Rescaling 4
Breaking Barriers of System Heterogeneity: Straggler-Tolerant Multimodal Federated Learning via Knowledge Distillation 5
Bridge to Non-Barrier Communication: Gloss-Prompted Fine-Grained Cued Speech Gesture Generation with Diffusion Model 4
Bridging Generative and Discriminative Models for Unified Visual Perception with Diffusion Priors 3
Bridging LiDAR Gaps: A Multi-LiDARs Domain Adaptation Dataset for 3D Semantic Segmentation 5
Bridging Stereo Geometry and BEV Representation with Reliable Mutual Interaction for Semantic Scene Completion 3
Bridging the Gap between General and Down-Closed Convex Sets in Submodular Maximization 3
Bridging the Gap: Learning Pace Synchronization for Open-World Semi-Supervised Learning 4
Bring Metric Functions into Diffusion Models 3
By Fair Means or Foul: Quantifying Collusion in a Market Simulation with Deep Reinforcement Learning 2
Bypassing the ASP Bottleneck: Hybrid Grounding by Splitting and Rewriting 6
C3L: Content Correlated Vision-Language Instruction Tuning Data Generation via Contrastive Learning 3
CAP: A Context-Aware Neural Predictor for NAS 3
CF-Deformable DETR: An End-to-End Alignment-Free Model for Weakly Aligned Visible-Infrared Object Detection 4
CIC: A Framework for Culturally-Aware Image Captioning 4
CLIP-FSAC: Boosting CLIP for Few-Shot Anomaly Classification with Synthetic Anomalies 2
CLR-Face: Conditional Latent Refinement for Blind Face Restoration Using Score-Based Diffusion Models 2
CMACE: CMAES-based Counterfactual Explanations for Black-box Models 3
CMMU: A Benchmark for Chinese Multi-modal Multi-type Question Understanding and Reasoning 5
CONC: Complex-noise-resistant Open-set Node Classification with Adaptive Noise Detection 3
CPa-WAC: Constellation Partitioning-based Scalable Weighted Aggregation Composition for Knowledge Graph Embedding 6
Capturing Knowledge Graphs and Rules with Octagon Embeddings 1
CausVSR: Causality Inspired Visual Sentiment Recognition 3
CausalNET: Unveiling Causal Structures on Event Sequences by Topology-Informed Causal Attention 3
Causality-enhanced Discreted Physics-informed Neural Networks for Predicting Evolutionary Equations 4
Certified Policy Verification and Synthesis for MDPs under Distributional Reach-Avoidance Properties 4
ChatSpot: Bootstrapping Multimodal LLMs via Precise Referring Instruction Tuning 3
Class-Specific Semantic Generation and Reconstruction Learning for Open Set Recognition 5
Class-consistent Contrastive Learning Driven Cross-dimensional Transformer for 3D Medical Image Classification 3
ClothPPO: A Proximal Policy Optimization Enhancing Framework for Robotic Cloth Manipulation with Observation-Aligned Action Spaces 3
CoAtFormer: Vision Transformer with Composite Attention 3
CoCoG: Controllable Visual Stimuli Generation Based on Human Concept Representations 2
CoFInAl: Enhancing Action Quality Assessment with Coarse-to-Fine Instruction Alignment 4
Combinatorial Games with Incomplete Information 0
Combinatorial Routing for Neural Trees 4
Common-Individual Semantic Fusion for Multi-View Multi-Label Learning 5
Comparing Ways of Obtaining Candidate Orderings from Approval Ballots 1
CompetEvo: Towards Morphological Evolution from Competition 3
Compilation and Fast Model Counting beyond CNF 0
Computational Aspects of Progression for Temporal Equilibrium Logic 0
Computational Complexity of Verifying the Group No-show Paradox 4
Computing Optimal Equilibria in Repeated Games with Restarts 2
Concentration Tail-Bound Analysis of Coevolutionary and Bandit Learning Algorithms 2
Concept-Level Causal Explanation Method for Brain Function Network Classification 7
Conflict-Alleviated Gradient Descent for Adaptive Object Detection 5
Constrained Intrinsic Motivation for Reinforcement Learning 3
ConstrainedZero: Chance-Constrained POMDP Planning Using Learned Probabilistic Failure Surrogates and Adaptive Safety Constraints 4
Constructive Interpolation and Concept-Based Beth Definability for Description Logics via Sequents 1
Contextualized Speech Recognition: Rethinking Second-Pass Rescoring with Generative Large Language Models 5
Continual Compositional Zero-Shot Learning 4
Continual Multi-Objective Reinforcement Learning via Reward Model Rehearsal 3
Continual Multi-View Clustering with Consistent Anchor Guidance 5
Continual Multimodal Knowledge Graph Construction 4
Contract Scheduling with Distributional and Multiple Advice 0
Contrastive General Graph Matching with Adaptive Augmentation Sampling 4
Contrastive Learning Drug Response Models from Natural Language Supervision 4
Contrastive Learning Is Not Optimal for Quasiperiodic Time Series 4
Contrastive Representation Learning for Self-Supervised Taxonomy Completion 5
Contrastive Transformer Cross-Modal Hashing for Video-Text Retrieval 4
Contrastive Transformer Masked Image Hashing for Degraded Image Retrieval 4
Contrastive and View-Interaction Structure Learning for Multi-view Clustering 4
Convexity Certificates for Symbolic Tensor Expressions 2
Cooperation and Control in Delegation Games 1
Core-Structures-Guided Multi-Modal Classification Neural Architecture Search 6
Correct and Optimal: The Regular Expression Inference Challenge 3
Counterfactual User Sequence Synthesis Augmented with Continuous Time Dynamic Preference Modeling for Sequential POI Recommendation 2
Couples Can Be Tractable: New Algorithms and Hardness Results for the Hospitals/Residents Problem with Couples 0
Cross-Domain Feature Augmentation for Domain Generalization 5
Cross-Domain Few-Shot Semantic Segmentation via Doubly Matching Transformation 3
Cross-Problem Learning for Solving Vehicle Routing Problems 4
Cross-Scale Domain Adaptation with Comprehensive Information for Pansharpening 4
Cross-Talk Reduction 4
Cross-View Contrastive Fusion for Enhanced Molecular Property Prediction 4
Cross-View Diversity Embedded Consensus Learning for Multi-View Clustering 2
Cross-modal Generation and Alignment via Attribute-guided Prompt for Unsupervised Text-based Person Retrieval 3
Cutting the Black Box: Conceptual Interpretation of a Deep Neural Net with Multi-Modal Embeddings and Multi-Criteria Decision Aid 4
D3ETR: Decoder Distillation for Detection Transformer 3
DANCE: Dual-View Distribution Alignment for Dataset Condensation 5
DBPNet: Dual-Branch Parallel Network with Temporal-Frequency Fusion for Auditory Attention Detection 3
DCDet: Dynamic Cross-based 3D Object Detector 4
DFMDA-Net: Dense Fusion and Multi-dimension Aggregation Network for Image Restoration 2
DGCD: An Adaptive Denoising GNN for Group-level Cognitive Diagnosis 3
DGR: A General Graph Desmoothing Framework for Recommendation via Global and Local Perspectives 3
DTS-TPT: Dual Temporal-Sync Test-time Prompt Tuning for Zero-shot Activity Recognition 5
DVPE: Divided View Position Embedding for Multi-View 3D Object Detection 4
DWLR: Domain Adaptation under Label Shift for Wearable Sensor 3
DarkFed: A Data-Free Backdoor Attack in Federated Learning 4
Data Complexity in Expressive Description Logics with Path Expressions 1
Deciphering the Projection Head: Representation Evaluation Self-supervised Learning 2
Decoupled Invariant Attention Network for Multivariate Time-series Forecasting 5
Decoupling Breaks Data Barriers: A Decoupled Pre-training Framework for Multi-intent Spoken Language Understanding 6
Deep Embedding Clustering Driven by Sample Stability 4
Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting 5
Deep Hierarchical Graph Alignment Kernels 6
Deep Multi-Dimensional Classification with Pairwise Dimension-Specific Features 3
Deep Neural Networks via Complex Network Theory: A Perspective 3
Delocate: Detection and Localization for Deepfake Videos with Randomly-Located Tampered Traces 4
Delve into Base-Novel Confusion: Redundancy Exploration for Few-Shot Class-Incremental Learning 2
Denoising Diffusion-Augmented Hybrid Video Anomaly Detection via Reconstructing Noised Frames 3
Denoising-Aware Contrastive Learning for Noisy Time Series 4
DenseKoopman: A Plug-and-Play Framework for Dense Pedestrian Trajectory Prediction 4
Deriving Provably Correct Explanations for Decision Trees: The Impact of Domain Theories 0
Design a Win-Win Strategy That Is Fair to Both Service Providers and Tasks When Rejection Is Not an Option 4
Designing Behavior-Aware AI to Improve the Human-AI Team Performance in AI-Assisted Decision Making 3
Detecting and Understanding Vulnerabilities in Language Models via Mechanistic Interpretability 5
Detector Collapse: Backdooring Object Detection to Catastrophic Overload or Blindness in the Physical World 3
Determining Winners in Elections with Absent Votes 0
Dialogue Cross-Enhanced Central Engagement Attention Model for Real-Time Engagement Estimation 5
DifTraj: Diffusion Inspired by Intrinsic Intention and Extrinsic Interaction for Multi-Modal Trajectory Prediction 3
DiffStega: Towards Universal Training-Free Coverless Image Steganography with Diffusion Models 4
Diffusion Mask-Driven Visual-language Tracking 4
Dirichlet-based Uncertainty Quantification for Personalized Federated Learning with Improved Posterior Networks 2
Discriminative Feature Decoupling Enhancement for Speech Forgery Detection 3
Disentangling Domain and General Representations for Time Series Classification 2
Distribution-Independent Cell Type Identification for Single-Cell RNA-seq Data 3
Diversification of Adaptive Policy for Effective Offline Reinforcement Learning 4
Diversifying Training Pool Predictability for Zero-shot Coordination: A Theory of Mind Approach 2
Domain Adaptive and Fine-grained Anomaly Detection for Single-cell Sequencing Data and Beyond 3
Domain-Hierarchy Adaptation via Chain of Iterative Reasoning for Few-shot Hierarchical Text Classification 4
Dual Calibration-based Personalised Federated Learning 4
Dual Contrastive Graph-Level Clustering with Multiple Cluster Perspectives Alignment 4
Dual Enhancement in ODI Super-Resolution: Adapting Convolution and Upsampling to Projection Distortion 3
Dual Expert Distillation Network for Generalized Zero-Shot Learning 4
Dual Semantic Fusion Hashing for Multi-Label Cross-Modal Retrieval 3
Dynamic Brightness Adaptation for Robust Multi-modal Image Fusion 4
Dynamic Many-Objective Molecular Optimization: Unfolding Complexity with Objective Decomposition and Progressive Optimization 3
Dynamic Weighted Graph Fusion for Deep Multi-View Clustering 3
Dynamic against Dynamic: An Open-Set Self-Learning Framework 4
Dynamically Anchored Prompting for Task-Imbalanced Continual Learning 3
Dynamicity-aware Social Bot Detection with Dynamic Graph Transformers 2
EAB-FL: Exacerbating Algorithmic Bias through Model Poisoning Attacks in Federated Learning 3
EAT: Self-Supervised Pre-Training with Efficient Audio Transformer 5
EC-SNN: Splitting Deep Spiking Neural Networks for Edge Devices 5
ECR-Chain: Advancing Generative Language Models to Better Emotion-Cause Reasoners through Reasoning Chains 5
EFEVD: Enhanced Feature Extraction for Smart Contract Vulnerability Detection 4
ELF-UA: Efficient Label-Free User Adaptation in Gaze Estimation 5
EMOTE: An Explainable Architecture for Modelling the Other through Empathy 2
ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles 2
EPIC: Graph Augmentation with Edit Path Interpolation via Learnable Cost 3
ESP-PCT: Enhanced VR Semantic Performance through Efficient Compression of Temporal and Spatial Redundancies in Point Cloud Transformers 3
EVE: Efficient Zero-Shot Text-Based Video Editing With Depth Map Guidance and Temporal Consistency Constraints 5
Effective Approach to LTLf Best-Effort Synthesis in Multi-Tier Environments 6
Efficiency Calibration of Implicit Regularization in Deep Networks via Self-paced Curriculum-Driven Singular Value Selection 2
Efficient Correlated Subgraph Searches for AI-powered Drug Discovery 4
Efficient Cost-Minimization Schemes for Electrical Energy Demand Satisfaction by Prosumers in Microgrids with Battery Storage Capabilities 5
Efficient Event Stream Super-Resolution with Recursive Multi-Branch Fusion 5
Efficient Federated Multi-View Clustering with Integrated Matrix Factorization and K-Means 3
Efficient Multi-view Unsupervised Feature Selection with Adaptive Structure Learning and Inference 3
Efficient Offline Meta-Reinforcement Learning via Robust Task Representations and Adaptive Policy Generation 0
Efficient Screen Content Image Compression via Superpixel-based Content Aggregation and Dynamic Feature Fusion 4
Efficient Tuning and Inference for Large Language Models on Textual Graphs 4
Efficient and Stable Offline-to-online Reinforcement Learning via Continual Policy Revitalization 4
Eliminating the Cross-Domain Misalignment in Text-guided Image Inpainting 6
Empirical Analysis of Dialogue Relation Extraction with Large Language Models 5
Enabling Mixed Effects Neural Networks for Diverse, Clustered Data Using Monte Carlo Methods 4
Enabling Sustainable Freight Forwarding Network via Collaborative Games 2
Encoding Auxiliary Information to Restore Compressed Point Cloud Geometry 3
Endogenous Energy Reactive Modules Games: Modelling Side Payments among Resource-Bounded Agents 0
Enhanced DouDiZhu Card Game Strategy Using Oracle Guiding and Adaptive Deep Monte Carlo Method 3
Enhancing Boundary Segmentation for Topological Accuracy with Skeleton-based Methods 5
Enhancing Controlled Query Evaluation through Epistemic Policies 1
Enhancing Cooperation through Selective Interaction and Long-term Experiences in Multi-Agent Reinforcement Learning 2
Enhancing Cross-Modal Retrieval via Visual-Textual Prompt Hashing 2
Enhancing Cross-modal Completion and Alignment for Unsupervised Incomplete Text-to-Image Person Retrieval 3
Enhancing Dual-Target Cross-Domain Recommendation with Federated Privacy-Preserving Learning 3
Enhancing Fine-Grained Urban Flow Inference via Incremental Neural Operator 4
Enhancing Length Generalization for Attention Based Knowledge Tracing Models with Linear Biases 4
Enhancing Multimodal Knowledge Graph Representation Learning through Triple Contrastive Learning 4
Enhancing Scalability of Metric Differential Privacy via Secret Dataset Partitioning and Benders Decomposition 4
Epistemic Logic Programs: Non-Ground and Counting Complexity 0
Equilibria in Two-Stage Facility Location with Atomic Clients 1
Error-aware Sampling in Adaptive Shells for Neural Surface Reconstruction 4
Estimating Conditional Average Treatment Effects via Sufficient Representation Learning 3
Estimating before Debiasing: A Bayesian Approach to Detaching Prior Bias in Federated Semi-Supervised Learning 4
EvaNet: Elevation-Guided Flood Extent Mapping on Earth Imagery 4
Evaluation of Project Performance in Participatory Budgeting 4
Evolutionary Generalized Zero-Shot Learning 5
Exactly Solving Minimum Dominating Set and Its Generalization 6
Expected Work Search: Combining Win Rate and Proof Size Estimation 4
Explaining Arguments’ Strength: Unveiling the Role of Attacks and Supports 4
Exploiting Conjugate Label Information for Multi-Instance Partial-Label Learning 5
Exploiting Multi-Label Correlation in Label Distribution Learning 5
Explore Internal and External Similarity for Single Image Deraining with Graph Neural Networks 3
Exploring Cross-Domain Few-Shot Classification via Frequency-Aware Prompting 5
Exploring Learngene via Stage-wise Weight Sharing for Initializing Variable-sized Models 4
Exploring Urban Semantics: A Multimodal Model for POI Semantic Annotation with Street View Images and Place Names 3
Exploring the Inefficiency of Heavy Ball as Momentum Parameter Approaches 1 3
Exploring the Role of Node Diversity in Directed Graph Representation Learning 4
Exponential Lower Bounds on the Double Oracle Algorithm in Zero-Sum Games 1
Expressiveness is Effectiveness: Self-supervised Fashion-aware CLIP for Video-to-Shop Retrieval 2
Exterior Penalty Policy Optimization with Penalty Metric Network under Constraints 2
Extremal Separation Problems for Temporal Instance Queries 0
FBLG: A Local Graph Based Approach for Handling Dual Skewed Non-IID Data in Federated Learning 6
FLDM-VTON: Faithful Latent Diffusion Model for Virtual Try-on 3
Facility Location Problems with Capacity Constraints: Two Facilities and Beyond 1
FactCHD: Benchmarking Fact-Conflicting Hallucination Detection 3
Fair Distribution of Delivery Orders 2
FairGT: A Fairness-aware Graph Transformer 4
Fast One-Stage Unsupervised Domain Adaptive Person Search 5
Fast Unpaired Multi-view Clustering 5
Fast and Continual Knowledge Graph Embedding via Incremental LoRA 5
FastScene: Text-Driven Fast Indoor 3D Scene Generation via Panoramic Gaussian Splatting 2
Faster Optimal Coalition Structure Generation via Offline Coalition Selection and Graph-Based Search 4
Feature Norm Regularized Federated Learning: Utilizing Data Disparities for Model Performance Gains 4
FedConPE: Efficient Federated Conversational Bandits with Heterogeneous Clients 3
FedES: Federated Early-Stopping for Hindering Memorizing Heterogeneous Label Noise 3
FedFa: A Fully Asynchronous Training Paradigm for Federated Learning 5
FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization 4
FedPFT: Federated Proxy Fine-Tuning of Foundation Models 5
FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning 6
FedTAD: Topology-aware Data-free Knowledge Distillation for Subgraph Federated Learning 3
Federated Adaptation for Foundation Model-based Recommendations 3
Federated Multi-View Clustering via Tensor Factorization 3
Federated Prompt Learning for Weather Foundation Models on Devices 3
Feedback-Based Adaptive Crossover-Rate in Evolutionary Computation 2
Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search 3
Fine-grained Analysis of Stability and Generalization for Stochastic Bilevel Optimization 6
Fine-tuning Pre-trained Models for Robustness under Noisy Labels 3
FineFMPL: Fine-grained Feature Mining Prompt Learning for Few-Shot Class Incremental Learning 5
Finite Groundings for ASP with Functions: A Journey through Consistency 1
Finite-Time Convergence Rates of Decentralized Local Markovian Stochastic Approximation 3
First-Order Progression beyond Local-Effect and Normal Actions 0
FlagVNE: A Flexible and Generalizable Reinforcement Learning Framework for Network Resource Allocation 4
Focus on the Whole Character: Discriminative Character Modeling for Scene Text Recognition 4
Formal Verification of Parameterised Neural-symbolic Multi-agent Systems 3
Formalisation and Evaluation of Properties for Consequentialist Machine Ethics 0
Fostering Collective Action in Complex Societies Using Community-Based Agents 3
Fraud Risk Mitigation in Real-Time Payments: A Strategic Agent-Based Analysis 1
FreqFormer: Frequency-aware Transformer for Lightweight Image Super-resolution 4
From Optimization to Generalization: Fair Federated Learning against Quality Shift via Inter-Client Sharpness Matching 4
Full Bayesian Significance Testing for Neural Networks in Traffic Forecasting 2
Fusion from a Distributional Perspective: A Unified Symbiotic Diffusion Framework for Any Multisource Remote Sensing Data Classification 1
G2LTraj: A Global-to-Local Generation Approach for Trajectory Prediction 6
GRASP: A Novel Benchmark for Evaluating Language GRounding and Situated Physics Understanding in Multimodal Language Models 3
GUIDE: A Guideline-Guided Dataset for Instructional Video Comprehension 1
Game Transformations That Preserve Nash Equilibria or Best-Response Sets 0
GenSeg: On Generating Unified Adversary for Segmentation 3
General Epistemic Abstract Argumentation Framework: Semantics and Complexity 1
Generalized Taxonomy-Guided Graph Neural Networks 3
Generate Synthetic Text Approximating the Private Distribution with Differential Privacy 3
Generating More Audios for End-to-End Spoken Language Understanding 4
Geometry-Guided Conditional Adaptation for Surrogate Models of Large-Scale 3D PDEs on Arbitrary Geometries 3
Getting More by Knowing Less: Bayesian Incentive Compatible Mechanisms for Fair Division 1
Global Optimality of Single-Timescale Actor-Critic under Continuous State-Action Space: A Study on Linear Quadratic Regulator 1
Gradformer: Graph Transformer with Exponential Decay 4
Graph Attention Network with High-Order Neighbor Information Propagation for Social Recommendation 2
Graph Collaborative Expert Finding with Contrastive Learning 3
Graph Contrastive Learning with Reinforcement Augmentation 4
Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning 3
Guidance Graph Optimization for Lifelong Multi-Agent Path Finding 5
Guiding GBFS through Learned Pairwise Rankings 6
HVOFusion: Incremental Mesh Reconstruction Using Hybrid Voxel Octree 4
Hacking Task Confounder in Meta-Learning 4
Hard-Thresholding Meets Evolution Strategies in Reinforcement Learning 4
HeterGCL: Graph Contrastive Learning Framework on Heterophilic Graph 5
Heterogeneous Causal Metapath Graph Neural Network for Gene-Microbe-Disease Association Prediction 4
Heterogeneous Graph Transformer with Poly-Tokenization 2
Hierarchical Reinforcement Learning for Point of Interest Recommendation 4
Hierarchical Reinforcement Learning on Multi-Channel Hypergraph Neural Network for Course Recommendation 2
Higher-Order Argumentation Frameworks: Principles and Gradual Semantics 0
History Repeats Itself: A Baseline for Temporal Knowledge Graph Forecasting 4
How Hard Is It to Impact the Impact of Your Paper? 0
How to Learn Domain-Invariant Representations for Visual Reinforcement Learning: An Information-Theoretical Perspective 4
Hundred-Kilobyte Lookup Tables for Efficient Single-Image Super-Resolution 5
Hundredfold Accelerating for Pathological Images Diagnosis and Prognosis through Self-reform Critical Region Focusing 4
HyDiscGAN: A Hybrid Distributed cGAN for Audio-Visual Privacy Preservation in Multimodal Sentiment Analysis 3
HyQ: Hardware-Friendly Post-Training Quantization for CNN-Transformer Hybrid Networks 6
Hybrid Frequency Modulation Network for Image Restoration 4
HypBO: Accelerating Black-Box Scientific Experiments Using Experts’ Hypotheses 4
Hypergraph Self-supervised Learning with Sampling-efficient Signals 4
Hyperparameter Optimization Can Even Be Harmful in Off-Policy Learning and How to Deal with It 4
IMM: An Imitative Reinforcement Learning Approach with Predictive Representation Learning for Automatic Market Making 1
Image Retrieval with Self-Supervised Divergence Minimization and Cross-Attention Classification 3
Imperfect-Recall Games: Equilibrium Concepts and Their Complexity 0
Imperio: Language-Guided Backdoor Attacks for Arbitrary Model Control 3
Implicit Prompt Learning for Image Denoising 3
Imprecise Probabilities Meet Partial Observability: Game Semantics for Robust POMDPs 0
Improved Approximation Algorithms for Capacitated Location Routing 5
Improved Approximation of Weighted MMS Fairness for Indivisible Chores 1
Improved Encodings of Acyclicity for Translating Answer Set Programming into Integer Programming 5
Improved Evolutionary Algorithms for Submodular Maximization with Cost Constraints 3
Improved Parallel Algorithm for Non-Monotone Submodular Maximization under Knapsack Constraint 4
Improving Adversarial Robustness via Feature Pattern Consistency Constraint 3
Improving Multi-agent Reinforcement Learning with Stable Prefix Policy 3
Improving Paratope and Epitope Prediction by Multi-Modal Contrastive Learning and Interaction Informativeness Estimation 4
Improving Pseudo Labels with Global-Local Denoising Framework for Cross-lingual Named Entity Recognition 2
Improving Zero-Shot Cross-Lingual Transfer via Progressive Code-Switching 4
Incorporating Schema-Aware Description into Document-Level Event Extraction 3
Individual Causal Structure Learning from Population Data 2
Individual Fairness under Group Fairness Constraints in Bipartite Matching - One Framework to Approximate Them All 4
Individual Rationality in Topological Distance Games Is Surprisingly Hard 1
InfoMatch: Entropy Neural Estimation for Semi-Supervised Image Classification 4
Information-Theoretic Opacity-Enforcement in Markov Decision Processes 2
Innovative Directional Encoding in Speech Processing: Leveraging Spherical Harmonics Injection for Multi-Channel Speech Enhancement 5
Instance-Level Metalearning for Outlier Detection 5
Instantiations and Computational Aspects of Non-Flat Assumption-based Argumentation 6
InstructEdit: Instruction-Based Knowledge Editing for Large Language Models 2
InstructME: An Instruction Guided Music Edit Framework with Latent Diffusion Models 2
Integrating Intent Understanding and Optimal Behavior Planning for Behavior Tree Generation from Human Instructions 3
Integrating Vision-Language Semantic Graphs in Multi-View Clustering 2
IntensPure: Attack Intensity-aware Secondary Domain Adaptive Diffusion for Adversarial Purification 4
Intention Progression with Temporally Extended Goals 4
Interpretable Network Visualizations: A Human-in-the-Loop Approach for Post-hoc Explainability of CNN-based Image Classification 3
Interpretable Tensor Fusion 3
Invertible Residual Rescaling Models 3
It Ain’t That Bad: Understanding the Mysterious Performance Drop in OOD Generalization for Generative Transformer Models 3
Joint Domain Adaptive Graph Convolutional Network 2
Joint Input and Output Coordination for Class-Incremental Learning 4
Joint Multimodal Aspect Sentiment Analysis with Aspect Enhancement and Syntactic Adaptive Learning 5
Joint Source Localization in Different Platforms via Implicit Propagation Characteristics of Similar Topics 3
Justifying Argument Acceptance with Collective Attacks: Discussions and Disputes 0
KDDC: Knowledge-Driven Disentangled Causal Metric Learning for Pre-Travel Out-of-Town Recommendation 4
KG-CoT: Chain-of-Thought Prompting of Large Language Models over Knowledge Graphs for Knowledge-Aware Question Answering 5
KTCN: Enhancing Open-World Object Detection with Knowledge Transfer and Class-Awareness Neutralization 4
Kernel Readout for Graph Neural Networks 4
Knowledge Compilation for Incremental and Checkable Stochastic Boolean Satisfiability 5
LEAP: Optimization Hierarchical Federated Learning on Non-IID Data with Coalition Formation Game 3
LG-FGAD: An Effective Federated Graph Anomaly Detection Framework 5
LG-GNN: Local-Global Adaptive Graph Neural Network for Modeling Both Homophily and Heterophily 3
LLM-based Multi-Level Knowledge Generation for Few-shot Knowledge Graph Completion 4
LLMem: Estimating GPU Memory Usage for Fine-Tuning Pre-Trained LLMs 6
LLMs Can Find Mathematical Reasoning Mistakes by Pedagogical Chain-of-Thought 3
LSPAN: Spectrally Localized Augmentation for Graph Consistency Learning 4
Label Distribution Learning from Logical Label 5
Label-efficient Semantic Scene Completion with Scribble Annotations 4
Langshaw: Declarative Interaction Protocols Based on Sayso and Conflict 5
Large Language Model Guided Knowledge Distillation for Time Series Anomaly Detection 3
Large Language Model as a Policy Teacher for Training Reinforcement Learning Agents 4
Large Language Model-Enhanced Algorithm Selection: Towards Comprehensive Algorithm Representation 3
Large Language Models Are Not Strong Abstract Reasoners 3
Layered Graph Security Games 6
Layered and Staged Monte Carlo Tree Search for SMT Strategy Synthesis 5
Laying the Foundations for Solving FOND HTN Problems: Grounding, Search, Heuristics (and Benchmark Problems) 5
LeMeViT: Efficient Vision Transformer with Learnable Meta Tokens for Remote Sensing Image Interpretation 5
LeRet: Language-Empowered Retentive Network for Time Series Forecasting 3
Learning Big Logical Rules by Joining Small Rules 6
Learning Causally Disentangled Representations via the Principle of Independent Causal Mechanisms 3
Learning Conditional Preference Networks: An Approach Based on the Minimum Description Length Principle 3
Learning Embeddings for Sequential Tasks Using Population of Agents 5
Learning Fair Cooperation in Mixed-Motive Games with Indirect Reciprocity 2
Learning Fair Representations for Recommendation via Information Bottleneck Principle 6
Learning Generalized Policies for Fully Observable Non-Deterministic Planning Domains 6
Learning Hierarchy-Enhanced POI Category Representations Using Disentangled Mobility Sequences 3
Learning Label Dependencies for Visual Information Extraction 3
Learning Label-Specific Multiple Local Metrics for Multi-Label Classification 4
Learning Logic Programs by Discovering Higher-Order Abstractions 6
Learning Low-Rank Tensor Cores with Probabilistic ℓ0-Regularized Rank Selection for Model Compression 4
Learning Multi-Granularity and Adaptive Representation for Knowledge Graph Reasoning 3
Learning Pareto Set for Multi-Objective Continuous Robot Control 4
Learning Robust Classifiers with Self-Guided Spurious Correlation Mitigation 6
Learning Spatial Similarity Distribution for Few-shot Object Counting 4
Learning Translations: Emergent Communication Pretraining for Cooperative Language Acquisition 1
Learning What to Monitor: Using Machine Learning to Improve past STL Monitoring 5
Learning a Spiking Neural Network for Efficient Image Deraining 4
Learning from Long-Tailed Noisy Data with Sample Selection and Balanced Loss 3
Learning in CubeRes Model Space for Anomaly Detection in 3D GPR Data 2
Learning to Solve Geometry Problems via Simulating Human Dual-Reasoning Process 5
Learning with Posterior Sampling for Revenue Management under Time-varying Demand 3
Learning-Based Tracking-before-Detect for RF-Based Unconstrained Indoor Human Tracking 5
Let’s Start Over: Retraining with Selective Samples for Generalized Category Discovery 3
Linear-Time Optimal Deadlock Detection for Efficient Scheduling in Multi-Track Railway Networks 3
LitE-SNN: Designing Lightweight and Efficient Spiking Neural Network through Spatial-Temporal Compressive Network Search and Joint Optimization 4
LocMoE: A Low-overhead MoE for Large Language Model Training 3
Long Short-Term Dynamic Prototype Alignment Learning for Video Anomaly Detection 3
LongVQ: Long Sequence Modeling with Vector Quantization on Structured Memory 4
Look-ahead Search on Top of Policy Networks in Imperfect Information Games 4
M2Beats: When Motion Meets Beats in Short-form Videos 4
MARCO: A Memory-Augmented Reinforcement Framework for Combinatorial Optimization 6
MARS: Multimodal Active Robotic Sensing for Articulated Characterization 3
MAS-SAM: Segment Any Marine Animal with Aggregated Features 4
MCM: Multi-condition Motion Synthesis Framework 2
MEDVOC: Vocabulary Adaptation for Fine-tuning Pre-trained Language Models on Medical Text Summarization 6
MFTraj: Map-Free, Behavior-Driven Trajectory Prediction for Autonomous Driving 3
MGCBS: An Optimal and Efficient Algorithm for Solving Multi-Goal Multi-Agent Path Finding Problem 5
MICRO: Model-Based Offline Reinforcement Learning with a Conservative Bellman Operator 4
MISA: MIning Saliency-Aware Semantic Prior for Box Supervised Instance Segmentation 3
MLP-DINO: Category Modeling and Query Graphing with Deep MLP for Object Detection 5
MMGNN: A Molecular Merged Graph Neural Network for Explainable Solvation Free Energy Prediction 4
MMVQA: A Comprehensive Dataset for Investigating Multipage Multimodal Information Retrieval in PDF-based Visual Question Answering 3
MOSER: Learning Sensory Policy for Task-specific Viewpoint via View-conditional World Model 3
MacMic: Executing Iceberg Orders via Hierarchical Reinforcement Learning 1
Machine Unlearning via Null Space Calibration 5
Maintaining Diversity Provably Helps in Evolutionary Multimodal Optimization 2
Make Bricks with a Little Straw: Large-Scale Spatio-Temporal Graph Learning with Restricted GPU-Memory Capacity 5
Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns for Traffic Speed Prediction 2
Making LLMs as Fine-Grained Relation Extraction Data Augmentor 2
Markov Constraint as Large Language Model Surrogate 3
Massively Parallel Single-Source SimRanks in O(log N) Rounds 1
Mean Aggregator Is More Robust than Robust Aggregators under Label Poisoning Attacks 3
Mechanisms That Play a Game, Not Toss a Coin 1
MediTab: Scaling Medical Tabular Data Predictors via Data Consolidation, Enrichment, and Refinement 4
Memorizing Documents with Guidance in Large Language Models 3
Meta In-Context Learning Makes Large Language Models Better Zero and Few-Shot Relation Extractors 4
Meta-Learning via PAC-Bayesian with Data-Dependent Prior: Generalization Bounds from Local Entropy 4
MetaISP: Efficient RAW-to-sRGB Mappings with Merely 1M Parameters 3
MetaJND: A Meta-Learning Approach for Just Noticeable Difference Estimation 4
Metric Distortion with Elicited Pairwise Comparisons 1
Minimizing Weighted Counterfactual Regret with Optimistic Online Mirror Descent 4
Model Checking Causality 3
Model-Free Preference Elicitation 4
Modeling Personalized Retweeting Behaviors for Multi-Stage Cascade Popularity Prediction 4
Modeling Selective Feature Attention for Lightweight Text Matching 2
Motion-Aware Heatmap Regression for Human Pose Estimation in Videos 5
MuEP: A Multimodal Benchmark for Embodied Planning with Foundation Models 4
Multi-Attention Based Visual-Semantic Interaction for Few-Shot Learning 3
Multi-Granularity Graph-Convolution-Based Method for Weakly Supervised Person Search 3
Multi-Modal Sarcasm Detection Based on Dual Generative Processes 3
Multi-Modality Spatio-Temporal Forecasting via Self-Supervised Learning 2
Multi-Relational Graph Attention Network for Social Relationship Inference from Human Mobility Data 4
Multi-TA: Multilevel Temporal Augmentation for Robust Septic Shock Early Prediction 2
Multi-level Disentangling Network for Cross-Subject Emotion Recognition Based on Multimodal Physiological Signals 3
Multi-scale Context-Aware Networks Based on Fragment Association for Human Activity Recognition 4
MultifacetEval: Multifaceted Evaluation to Probe LLMs in Mastering Medical Knowledge 3
Multimodal Representation Distribution Learning for Medical Image Segmentation 5
Multiplex Graph Representation Learning via Bi-level Optimization 1
NELLIE: A Neuro-Symbolic Inference Engine for Grounded, Compositional, and Explainable Reasoning 4
NanoAdapt: Mitigating Negative Transfer in Test Time Adaptation with Extremely Small Batch Sizes 2
Natural Language Decomposition and Interpretation of Complex Utterances 3
Natural Language-centered Inference Network for Multi-modal Fake News Detection 3
Navigating Continual Test-time Adaptation with Symbiosis Knowledge 2
Negative Prompt Driven Complementary Parallel Representation for Open-World 3D Object Retrieval 3
Negative-Binomial Randomized Gamma Dynamical Systems for Heterogeneous Overdispersed Count Time Sequences 2
NegativePrompt: Leveraging Psychology for Large Language Models Enhancement via Negative Emotional Stimuli 3
No Regularization Is Needed: Efficient and Effective Incomplete Label Distribution Learning 4
Nonconvex Multiview Subspace Clustering Framework with Efficient Method Designs and Theoretical Analysis 5
Nonparametric Detection of Gerrymandering in Multiparty Plurality Elections 3
Normative Testimony and Belief Functions: A Formal Theory of Norm Learning 0
Nukplex: An Efficient Local Search Algorithm for Maximum K-Plex Problem 6
OD-DETR: Online Distillation for Stabilizing Training of Detection Transformer 3
OSIC: A New One-Stage Image Captioner Coined 5
OTOcc: Optimal Transport for Occupancy Prediction 5
OUCopula: Bi-Channel Multi-Label Copula-Enhanced Adapter-Based CNN for Myopia Screening Based on OU-UWF Images 4
Off-Agent Trust Region Policy Optimization 2
Offline Policy Learning via Skill-step Abstraction for Long-horizon Goal-Conditioned Tasks 2
Offline Reinforcement Learning with Behavioral Supervisor Tuning 3
On Using Admissible Bounds for Learning Forward Search Heuristics 5
On the Computation of Example-Based Abductive Explanations for Random Forests 5
On the Effects of Fairness to Adversarial Vulnerability 2
On the Logic of Theory Change Iteration of KM-Update, Revised 0
On the Power and Limitations of Examples for Description Logic Concepts 0
On the Pursuit of EFX for Chores: Non-existence and Approximations 1
One-step Spiking Transformer with a Linear Complexity 3
Online Combinatorial Optimization with Group Fairness Constraints 3
Online Learning of Capacity-Based Preference Models 3
Online Learning of Partitions in Additively Separable Hedonic Games 1
Online Learning with Off-Policy Feedback in Adversarial MDPs 1
Online Sampling and Decision Making with Low Entropy 1
Online Submodular Maximization via Adaptive Thresholds 5
Optimal Auction Design with User Coupons in Advertising Systems 2
Optimal Extended Formulations from Optimal Dynamic Programming Algorithms 0
Optimal Graph Learning and Nuclear Norm Maximization for Deep Cross-Domain Robust Label Propagation 2
Optimisation and Approximation in Abstract Argumentation: The Case of Stable Semantics 6
Optimizing Prosumer Policies in Periodic Double Auctions Inspired by Equilibrium Analysis 2
Optimizing Viscous Democracy 2
Ordinal Maximin Guarantees for Group Fair Division 1
P2P: Transforming from Point Supervision to Explicit Visual Prompt for Object Detection and Segmentation 4
PACIA: Parameter-Efficient Adapter for Few-Shot Molecular Property Prediction 5
PDENNEval: A Comprehensive Evaluation of Neural Network Methods for Solving PDEs 4
PEACH: Pretrained-Embedding Explanation across Contextual and Hierarchical Structure 5
PHSIC against Random Consistency and Its Application in Causal Inference 3
PPTFormer: Pseudo Multi-Perspective Transformer for UAV Segmentation 3
PRASS: Probabilistic Risk-averse Robust Learning with Stochastic Search 4
PTDE: Personalized Training with Distilled Execution for Multi-Agent Reinforcement Learning 4
ParaILP: A Parallel Local Search Framework for Integer Linear Programming with Cooperative Evolution Mechanism 5
Parameterized Analysis of Bribery in Challenge the Champ Tournaments 0
Parameterized Complexity of Kidney Exchange Revisited 0
Pareto Inverse Reinforcement Learning for Diverse Expert Policy Generation 1
ParsNets: A Parsimonious Composition of Orthogonal and Low-Rank Linear Networks for Zero-Shot Learning 4
Partial Optimal Transport Based Out-of-Distribution Detection for Open-Set Semi-Supervised Learning 4
Peptide Vaccine Design by Evolutionary Multi-Objective Optimization 3
Personalized Federated Learning for Cross-City Traffic Prediction 4
Personalized Heart Disease Detection via ECG Digital Twin Generation 6
Perturbation Guiding Contrastive Representation Learning for Time Series Anomaly Detection 4
Physics-Informed Neural Networks: Minimizing Residual Loss with Wide Networks and Effective Activations 2
Physics-Informed Trajectory Prediction for Autonomous Driving under Missing Observation 6
Pluggable Watermarking of Deepfake Models for Deepfake Detection 3
PoRank: A Practical Framework for Learning to Rank Policies 2
PointTFA: Training-Free Clustering Adaption for Large 3D Point Cloud Models 4
Pointsoup: High-Performance and Extremely Low-Decoding-Latency Learned Geometry Codec for Large-Scale Point Cloud Scenes 5
Polynomial Time Presolve Algorithms for Rotation-Based Models Solving the Robust Stable Matching Problem 5
Popular and Dominant Matchings with Uncertain and Multimodal Preferences 0
Population-Based Diverse Exploration for Sparse-Reward Multi-Agent Tasks 2
Position Debiasing Fine-Tuning for Causal Perception in Long-Term Dialogue 3
Practical Anytime Algorithms for Judicious Partitioning of Active Directory Attack Graphs 2
Practical Hybrid Gradient Compression for Federated Learning Systems 4
Pre-DyGAE: Pre-training Enhanced Dynamic Graph Autoencoder for Occupational Skill Demand Forecasting 3
Pre-training General User Representation with Multi-type APP Behaviors 5
Predictive Accuracy-Based Active Learning for Medical Image Segmentation 6
Predictive Modeling with Temporal Graphical Representation on Electronic Health Records 3
Preferred Reasoning in ABA by Cycle-Breaking 4
Primal Grammars Driven Automated Induction 3
PrivSGP-VR: Differentially Private Variance-Reduced Stochastic Gradient Push with Tight Utility Bounds 4
Privacy-Preserving UCB Decision Process Verification via zk-SNARKs 2
Probabilistic Contrastive Learning for Domain Adaptation 4
Probabilistically Robust Watermarking of Neural Networks 3
Prompt Learning for Generalized Vehicle Routing 4
Prompt Learning with Extended Kalman Filter for Pre-trained Language Models 4
Prompt-enhanced Network for Hateful Meme Classification 2
Proportion-based Sensitivity Analysis of Uncontrolled Confounding Bias in Causal Inference 1
Protecting Object Detection Models from Model Extraction Attack via Feature Space Coverage 4
Protecting Split Learning by Potential Energy Loss 3
ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition 3
Provable Acceleration of Nesterov’s Accelerated Gradient Method over Heavy Ball Method in Training Over-Parameterized Neural Networks 3
Proximal Curriculum with Task Correlations for Deep Reinforcement Learning 4
Public Event Scheduling with Busy Agents 1
Purpose Enhanced Reasoning through Iterative Prompting: Uncover Latent Robustness of ChatGPT on Code Comprehension 1
Putting Back the Stops: Integrating Syntax with Neural Topic Models 3
QFormer: An Efficient Quaternion Transformer for Image Denoising 1
Quality-Diversity Algorithms Can Provably Be Helpful for Optimization 1
Quantitative Claim-Centric Reasoning in Logic-Based Argumentation 0
Quantitative Reasoning over Incomplete Abstract Argumentation Frameworks 0
R2V-MIF: Rule-to-Vector Contrastive Learning and Multi-channel Information Fusion for Therapy Recommendation 3
ROCES: Robust Class Expression Synthesis in Description Logics via Iterative Sampling 4
ROME: Robust Multi-Modal Density Estimator 5
RSAP-DFM: Regime-Shifting Adaptive Posterior Dynamic Factor Model for Stock Returns Prediction 5
Randomized Learning-Augmented Auctions with Revenue Guarantees 0
Rank and Align: Towards Effective Source-free Graph Domain Adaptation 3
Real-World Networks Are Low-Dimensional: Theoretical and Practical Assessment 3
RealDex: Towards Human-like Grasping for Robotic Dexterous Hand 4
Recall, Retrieve and Reason: Towards Better In-Context Relation Extraction 3
Reconfigurability-Aware Selection for Contrastive Active Domain Adaptation 3
Reconstructing Missing Variables for Multivariate Time Series Forecasting via Conditional Generative Flows 3
Reconstruction Weighting Principal Component Analysis with Fusion Contrastive Learning 3
Redefining Contributions: Shapley-Driven Federated Learning 4
Reframing Spatial Reasoning Evaluation in Language Models: A Real-World Simulation Benchmark for Qualitative Reasoning 3
Regression Residual Reasoning with Pseudo-labeled Contrastive Learning for Uncovering Multiple Complex Compositional Relations 4
ReinforceNS: Reinforcement Learning-based Multi-start Neighborhood Search for Solving the Traveling Thief Problem 5
Reinforcement Learning from Diverse Human Preferences 3
Reinforcement Nash Equilibrium Solver 1
Relevant Irrelevance: Generating Alterfactual Explanations for Image Classifiers 3
ReliaAvatar: A Robust Real-Time Avatar Animator with Integrated Motion Prediction 4
Reschedule Diffusion-based Bokeh Rendering 5
Resolving Word Vagueness with Scenario-guided Adapter for Natural Language Inference 3
Rethinking Centered Kernel Alignment in Knowledge Distillation 4
Rethinking Correlation Learning via Label Prior for Open Set Domain Adaptation 2
Rethinking the Effectiveness of Graph Classification Datasets in Benchmarks for Assessing GNNs 4
Rethinking the Soft Conflict Pseudo Boolean Constraint on MaxSAT Local Search Solvers 5
Revealing the Two Sides of Data Augmentation: An Asymmetric Distillation-based Win-Win Solution for Open-Set Recognition 2
Revising Beliefs and Intentions in Stochastic Environments 0
Revisiting Causal Discovery from a Complexity-Theoretic Perspective 1
Revisiting Neural Networks for Continual Learning: An Architectural Perspective 3
Revitalizing Real Image Deraining via a Generic Paradigm towards Multiple Rainy Patterns 3
RoboFusion: Towards Robust Multi-Modal 3D Object Detection via SAM 5
Robust Contrastive Multi-view Kernel Clustering 3
Robust Heterophilic Graph Learning against Label Noise for Anomaly Detection 4
Robust Losses for Decision-Focused Learning 5
Robust Reward Placement under Uncertainty 4
SACNN: Self Attention-based Convolutional Neural Network for Fraudulent Behaviour Detection in Sports 2
SAEIR: Sequentially Accumulated Entropy Intrinsic Reward for Cooperative Multi-Agent Reinforcement Learning with Sparse Reward 2
SCAT: A Time Series Forecasting with Spectral Central Alternating Transformers 3
SCTrans: Multi-scale scRNA-seq Sub-vector Completion Transformer for Gene-selective Cell Type Annotation 1
SDformer: Transformer with Spectral Filter and Dynamic Attention for Multivariate Time Series Long-term Forecasting 5
SEMANTIFY: Unveiling Memes with Robust Interpretability beyond Input Attribution 6
SEMv3: A Fast and Robust Approach to Table Separation Line Detection 5
SGDCL: Semantic-Guided Dynamic Correlation Learning for Explainable Autonomous Driving 4
SPGNet: A Shape-prior Guided Network for Medical Image Segmentation 5
STAR: Spatio-Temporal State Compression for Multi-Agent Tasks with Rich Observations 2
SVD-AE: Simple Autoencoders for Collaborative Filtering 4
SaSDim:Self-Adaptive Noise Scaling Diffusion Model for Spatial Time Series Imputation 4
Safety Constrained Multi-Agent Reinforcement Learning for Active Voltage Control 2
Sample Quality Heterogeneity-aware Federated Causal Discovery through Adaptive Variable Space Selection 3
Sampling Winners in Ranked Choice Voting 3
Scalable Federated Unlearning via Isolated and Coded Sharding 3
Scalable Landmark Hub Labeling for Optimal and Bounded Suboptimal Pathfinding 3
Scalable Mechanism Design for Multi-Agent Path Finding 5
Scalable Ultrafast Almost-optimal Euclidean Shortest Paths 4
Scale and Direction Guided GAN for Inertial Sensor Signal Enhancement 3
Scaling Up Unbiased Search-based Symbolic Regression 4
Scene-Adaptive Person Search via Bilateral Modulations 4
SceneDiff: Generative Scene-Level Image Retrieval with Text and Sketch Using Diffusion Models 5
Score-CDM: Score-Weighted Convolutional Diffusion Model for Multivariate Time Series Imputation 4
ScreenAI: A Vision-Language Model for UI and Infographics Understanding 2
ScreenAgent: A Vision Language Model-driven Computer Control Agent 2
Searching for Programmatic Policies in Semantic Spaces 5
SeeDRec: Sememe-based Diffusion for Sequential Recommendation 4
Seed Selection in the Heterogeneous Moran Process 2
Selecting the Most Conflicting Pair of Candidates 3
Self-Promoted Clustering-based Contrastive Learning for Brain Networks Pretraining 3
Self-Supervised Learning for Enhancing Spatial Awareness in Free-Hand Sketches 5
Self-Supervised Monocular Depth Estimation in the Dark: Towards Data Distribution Compensation 2
Self-Supervised Pre-training with Symmetric Superimposition Modeling for Scene Text Recognition 3
Self-adaptive Extreme Penalized Loss for Imbalanced Time Series Prediction 2
Self-adaptive PSRO: Towards an Automatic Population-based Game Solver 4
Self-supervised Weighted Information Bottleneck for Multi-view Clustering 3
SemanticMask: A Contrastive View Design for Anomaly Detection in Tabular Data 4
Semantics for Non-Flat Assumption-Based Argumentation, Revisited 0
Sentence-Level or Token-Level? A Comprehensive Study on Knowledge Distillation 3
Separate in the Speech Chain: Cross-Modal Conditional Audio-Visual Target Speech Extraction 2
Shadow-Free Membership Inference Attacks: Recommender Systems Are More Vulnerable Than You Thought 5
Shap-Mix: Shapley Value Guided Mixing for Long-Tailed Skeleton Based Action Recognition 4
Simple Contrastive Multi-View Clustering with Data-Level Fusion 4
SketchEdit: Editing Freehand Sketches at the Stroke-Level 3
Skip-Timeformer: Skip-Time Interaction Transformer for Long Sequence Time-Series Forecasting 1
Solving Long-run Average Reward Robust MDPs via Stochastic Games 5
Solving Quantified Boolean Formulas with Few Existential Variables 0
Span-based Unified Named Entity Recognition Framework via Contrastive Learning 4
Sparse Multi-Relational Graph Convolutional Network for Multi-type Object Trajectory Prediction 4
Spatial-Temporal Perceiving: Deciphering User Hierarchical Intent in Session-Based Recommendation 3
Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting 5
Spear: Evaluate the Adversarial Robustness of Compressed Neural Models 4
SpecAR-Net: Spectrogram Analysis and Representation Network for Time Series 3
Speech-Forensics: Towards Comprehensive Synthetic Speech Dataset Establishment and Analysis 4
Stochastic Neural Simulator for Generalizing Dynamical Systems across Environments 3
Strengthening Layer Interaction via Dynamic Layer Attention 4
Structure-Aware Spatial-Temporal Interaction Network for Video Shadow Detection 3
Structure-Preserving Physics-Informed Neural Networks with Energy or Lyapunov Structure 4
Structured d-DNNF Is Not Closed under Negation 0
Sub-Adjacent Transformer: Improving Time Series Anomaly Detection with Reconstruction Error from Sub-Adjacent Neighborhoods 4
Subgraph Pooling: Tackling Negative Transfer on Graphs 4
SwiftThief: Enhancing Query Efficiency of Model Stealing by Contrastive Learning 3
Symplectic Neural Gaussian Processes for Meta-learning Hamiltonian Dynamics 3
Synthesizing Programmatic Policy for Generalization within Task Domain 4
TAI++: Text as Image for Multi-Label Image Classification by Co-Learning Transferable Prompt 4
TFCD: Towards Multi-modal Sarcasm Detection via Training-Free Counterfactual Debiasing 4
TFLOP: Table Structure Recognition Framework with Layout Pointer Mechanism 5
TFWT: Tabular Feature Weighting with Transformer 4
TIM: An Efficient Temporal Interaction Module for Spiking Transformer 3
TSESNet: Temporal-Spatial Enhanced Breast Tumor Segmentation in DCE-MRI Using Feature Perception and Separability 3
TaD: A Plug-and-Play Task-Aware Decoding Method to Better Adapt LLMs on Downstream Tasks 3
Tackling Stackelberg Network Interdiction against a Boundedly Rational Adversary 4
Task-Agnostic Self-Distillation for Few-Shot Action Recognition 4
Temporal Domain Generalization via Learning Instance-level Evolving Patterns 5
Temporal Graph ODEs for Irregularly-Sampled Time Series 5
Temporal Inductive Logic Reasoning over Hypergraphs 3
Temporal Knowledge Graph Extrapolation via Causal Subhistory Identification 2
Ten Words Only Still Help: Improving Black-Box AI-Generated Text Detection via Proxy-Guided Efficient Re-Sampling 4
The Distortion of Threshold Approval Matching 0
The Impact of Features Used by Algorithms on Perceptions of Fairness 1
The Orthogonality of Weight Vectors: The Key Characteristics of Normalization and Residual Connections 2
The Transformation Logics 0
The Trembling-Hand Problem for LTLf Planning 4
Theoretical Study on Multi-objective Heuristic Search 2
To Promote Full Cooperation in Social Dilemmas, Agents Need to Unlearn Loyalty 2
Tolerating Outliers: Gradient-Based Penalties for Byzantine Robustness and Inclusion 3
Toward Completing the Picture of Control in Schulze and Ranked Pairs Elections 0
Toward a Manifold-Preserving Temporal Graph Network in Hyperbolic Space 3
Towards Automatic Composition of ASP Programs from Natural Language Specifications 6
Towards Counterfactual Fairness-aware Domain Generalization in Changing Environments 4
Towards Dynamic Trend Filtering through Trend Point Detection with Reinforcement Learning 3
Towards Dynamic-Prompting Collaboration for Source-Free Domain Adaptation 2
Towards Exact Computation of Inductive Bias 3
Towards Generalizable Neural Solvers for Vehicle Routing Problems via Ensemble with Transferrable Local Policy 4
Towards Geometric Normalization Techniques in SE(3) Equivariant Graph Neural Networks for Physical Dynamics Simulations 3
Towards Robust Multi-Label Learning against Dirty Label Noise 3
Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning 3
Towards Sharper Generalization Bounds for Adversarial Contrastive Learning 2
Towards Sharper Risk Bounds for Minimax Problems 1
Towards a Framework for Learning of Algorithms: The Case of Learned Comparison Sorts 5
Towards a Pretrained Model for Restless Bandits via Multi-arm Generalization 4
Towards a Principle-based Framework for Assessing the Contribution of Formulas on the Conflicts of Knowledge Bases 0
Trade When Opportunity Comes: Price Movement Forecasting via Locality-Aware Attention and Iterative Refinement Labeling 3
Trusted Multi-view Learning with Label Noise 5
Truth Table Net: Scalable, Compact & Verifiable Neural Networks with a Dual Convolutional Small Boolean Circuit Networks Form 3
Truthful Interval Covering 0
Two-stage Semi-supervised Speaker Recognition with Gated Label Learning 3
Unbiased Active Semi-supervised Binary Classification Models 4
UniM-OV3D: Uni-Modality Open-Vocabulary 3D Scene Understanding with Fine-Grained Feature Representation 4
Unified Evidence Enhancement Inference Framework for Fake News Detection 2
Unified Physical-Digital Face Attack Detection 2
Unified Single-Stage Transformer Network for Efficient RGB-T Tracking 5
Unified Unsupervised Salient Object Detection via Knowledge Transfer 4
Unified View Imputation and Feature Selection Learning for Incomplete Multi-view Data 3
Unlearning during Learning: An Efficient Federated Machine Unlearning Method 3
Unlearning from Weakly Supervised Learning 4
Unsupervised Anomaly Detection via Masked Diffusion Posterior Sampling 4
Unsupervised Deep Graph Structure and Embedding Learning 4
Updates on the Complexity of SHAP Scores 1
Using Large Language Models to Improve Query-based Constraint Acquisition 4
VCC-INFUSE: Towards Accurate and Efficient Selection of Unlabeled Examples in Semi-supervised Learning 3
VCformer: Variable Correlation Transformer with Inherent Lagged Correlation for Multivariate Time Series Forecasting 4
VF-Detector: Making Multi-Granularity Code Changes on Vulnerability Fix Detector Robust to Mislabeled Changes 4
VSGT: Variational Spatial and Gaussian Temporal Graph Models for EEG-based Emotion Recognition 2
Vertical Symbolic Regression via Deep Policy Gradient 4
Vision-based Discovery of Nonlinear Dynamics for 3D Moving Target 2
Vision-fused Attack: Advancing Aggressive and Stealthy Adversarial Text against Neural Machine Translation 4
Visual Attention Prompted Prediction and Learning 6
Vulnerabilities of Single-Round Incentive Compatibility in Auto-bidding: Theory and Evidence from ROI-Constrained Online Advertising Markets 0
WPML3CP: Wasserstein Partial Multi-Label Learning with Dual Label Correlation Perspectives 3
WSRFNet: Wavelet-Based Scale-Specific Recurrent Feedback Network for Diabetic Retinopathy Lesion Segmentation 5
WeatherGNN: Exploiting Meteo- and Spatial-Dependencies for Local Numerical Weather Prediction Bias-Correction 3
Weighted EF1 and PO Allocations with Few Types of Agents or Chores 1
Welfare Loss in Connected Resource Allocation 1
What Hides behind Unfairness? Exploring Dynamics Fairness in Reinforcement Learning 3
What Is Best for Students, Numerical Scores or Letter Grades? 1
What Makes Models Compositional? A Theoretical View 0
When Fairness Meets Privacy: Exploring Privacy Threats in Fair Binary Classifiers via Membership Inference Attacks 1
Where Elegance Meets Precision: Towards a Compact, Automatic, and Flexible Framework for Multi-modality Image Fusion and Applications 6
Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders 3
Who Looks like Me: Semantic Routed Image Harmonization 5
Why Only Text: Empowering Vision-and-Language Navigation with Multi-modal Prompts 5
With a Little Help from Language: Semantic Enhanced Visual Prototype Framework for Few-Shot Learning 3
X-Light: Cross-City Traffic Signal Control Using Transformer on Transformer as Meta Multi-Agent Reinforcement Learner 3
Zero-Shot Sketch Based Image Retrieval via Modality Capacity Guidance 5
Zero-shot High-fidelity and Pose-controllable Character Animation 5
Zero-shot Learning for Preclinical Drug Screening 3
ZeroDDI: A Zero-Shot Drug-Drug Interaction Event Prediction Method with Semantic Enhanced Learning and Dual-modal Uniform Alignment 4
Zeta*-SIPP: Improved Time-Optimal Any-Angle Safe-Interval Path Planning 6
vMFER: Von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement 2