| 1DFormer: A Transformer Architecture Learning 1D Landmark Representations for Facial Landmark Tracking |
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2 |
| 3D Vision and Language Pretraining with Large-Scale Synthetic Data |
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4 |
| 3DBench: A Scalable 3D Benchmark and Instruction-Tuning Dataset |
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| A Behavior-Aware Approach for Deep Reinforcement Learning in Non-stationary Environments without Known Change Points |
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| A Better Approximation for Bipartite Traveling Tournament in Inter-League Sports Scheduling |
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| A Bias-Free Revenue-Maximizing Bidding Strategy for Data Consumers in Auction-based Federated Learning |
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| A Coarse-to-Fine Fusion Network for Event-Based Image Deblurring |
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3 |
| A Cognitive-Driven Trajectory Prediction Model for Autonomous Driving in Mixed Autonomy Environments |
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3 |
| A Complete Landscape of EFX Allocations on Graphs: Goods, Chores and Mixed Manna |
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| A Conservative Approach for Few-Shot Transfer in Off-Dynamics Reinforcement Learning |
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4 |
| A Consistency and Integration Model with Adaptive Thresholds for Weakly Supervised Object Localization |
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3 |
| A Context-Enhanced Framework for Sequential Graph Reasoning |
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4 |
| A Dataset and Model for Realistic License Plate Deblurring |
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4 |
| A De-singularity Subgradient Approach for the Extended Weber Location Problem |
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5 |
| A Deep Probabilistic Spatiotemporal Framework for Dynamic Graph Representation Learning with Application to Brain Disorder Identification |
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3 |
| A Deep Reinforcement Learning Approach to Balance Viewport Prediction and Video Transmission in 360° Video Streaming |
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2 |
| A Density-driven Iterative Prototype Optimization for Transductive Few-shot Learning |
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3 |
| A Fast Algorithm for MaxSAT above Half Number of Clauses |
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| A Fourier Perspective of Feature Extraction and Adversarial Robustness |
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3 |
| A General Black-box Adversarial Attack on Graph-based Fake News Detectors |
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2 |
| A Graph-based Representation Framework for Trajectory Recovery via Spatiotemporal Interval-Informed Seq2Seq |
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5 |
| A Grassmannian Manifold Self-Attention Network for Signal Classification |
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6 |
| A Lightweight U-like Network Utilizing Neural Memory Ordinary Differential Equations for Slimming the Decoder |
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4 |
| A Logic for Reasoning about Aggregate-Combine Graph Neural Networks |
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| A Meta-Game Evaluation Framework for Deep Multiagent Reinforcement Learning |
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3 |
| A Multi-Valued Decision Diagram-Based Approach to Constrained Optimal Path Problems over Directed Acyclic Graphs |
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5 |
| A Neural Column Generation Approach to the Vehicle Routing Problem with Two-Dimensional Loading and Last-In-First-Out Constraints |
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3 |
| A New Guaranteed Outlier Removal Method Based on Plane Constraints for Large-Scale LiDAR Point Cloud Registration |
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3 |
| A New Paradigm for Counterfactual Reasoning in Fairness and Recourse |
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4 |
| A Prior-information-guided Residual Diffusion Model for Multi-modal PET Synthesis from MRI |
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2 |
| A SAT Solver + Computer Algebra Attack on the Minimum Kochen–Specker Problem |
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4 |
| A Self-explaining Neural Architecture for Generalizable Concept Learning |
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2 |
| A Semi-supervised Molecular Learning Framework for Activity Cliff Estimation |
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2 |
| A Strategic Analysis of Prepayments in Financial Credit Networks |
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| A Successful Strategy for Multichannel Iterated Prisoner’s Dilemma |
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1 |
| A Swap Relaxation-Based Local Search for the Latin Square Completion Problem |
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6 |
| A Tensor-Based Formalization of the Event Calculus |
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5 |
| A Top-Down Tree Model Counter for Quantified Boolean Formulas |
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4 |
| A Transformer-Based Adaptive Prototype Matching Network for Few-Shot Semantic Segmentation |
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4 |
| ABM: Attention before Manipulation |
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4 |
| ADELT: Transpilation between Deep Learning Frameworks |
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4 |
| ADMN: Agent-Driven Modular Network for Dynamic Parameter Sharing in Cooperative Multi-Agent Reinforcement Learning |
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| AK4Prompts: Aesthetics-driven Automatically Keywords-Ranking for Prompts in Text-To-Image Models |
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4 |
| AMO-aware Aggregates in Answer Set Programming |
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5 |
| ATTA: Adaptive Test-Time Adaptation for Multi-Modal Sleep Stage Classification |
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| Accelerating Diffusion Models for Inverse Problems through Shortcut Sampling |
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4 |
| Active Deep Multi-view Clustering |
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5 |
| Adaptive Order Q-learning |
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4 |
| Advancing Generalized Transfer Attack with Initialization Derived Bilevel Optimization and Dynamic Sequence Truncation |
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3 |
| Advancing Medical Image Segmentation via Self-supervised Instance-adaptive Prototype Learning |
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5 |
| Agentive Permissions in Multiagent Systems |
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| Aggregation and Purification: Dual Enhancement Network for Point Cloud Few-shot Segmentation |
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4 |
| Aggregation of Continuous Preferences in One Dimension |
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| AllMatch: Exploiting All Unlabeled Data for Semi-Supervised Learning |
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| Alleviating Imbalanced Pseudo-label Distribution: Self-Supervised Multi-Source Domain Adaptation with Label-specific Confidence |
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4 |
| Allocating Mixed Goods with Customized Fairness and Indivisibility Ratio |
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1 |
| An Archive Can Bring Provable Speed-ups in Multi-Objective Evolutionary Algorithms |
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2 |
| An Efficient Prototype-Based Clustering Approach for Edge Pruning in Graph Neural Networks to Battle Over-Smoothing |
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2 |
| An Image-enhanced Molecular Graph Representation Learning Framework |
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4 |
| An NCDE-based Framework for Universal Representation Learning of Time Series |
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3 |
| AnchorGT: Efficient and Flexible Attention Architecture for Scalable Graph Transformers |
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5 |
| Angluin-Style Learning of Deterministic Büchi and Co-Büchi Automata |
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2 |
| Anomaly Subgraph Detection through High-Order Sampling Contrastive Learning |
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4 |
| Ansatz-Agnostic Exponential Resource Saving in Variational Quantum Algorithms Using Shallow Shadows |
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| Anytime Sorting Algorithms |
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| Apprenticeship-Inspired Elegance: Synergistic Knowledge Distillation Empowers Spiking Neural Networks for Efficient Single-Eye Emotion Recognition |
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3 |
| Approximate Algorithms for k-Sparse Wasserstein Barycenter with Outliers |
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2 |
| Approximate Dec-POMDP Solving Using Multi-Agent A* |
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4 |
| Are Logistic Models Really Interpretable? |
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2 |
| Are Watermarks Bugs for Deepfake Detectors? Rethinking Proactive Forensics |
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4 |
| Atomic Recovery Property for Multi-view Subspace-Preserving Recovery |
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| Attention Based Document-level Relation Extraction with None Class Ranking Loss |
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4 |
| Attention Shifting to Pursue Optimal Representation for Adapting Multi-granularity Tasks |
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3 |
| Attribution Quality Metrics with Magnitude Alignment |
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3 |
| AutoAgents: A Framework for Automatic Agent Generation |
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5 |
| Automated CPU Design by Learning from Input-Output Examples |
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3 |
| Automatic De-Biased Temporal-Relational Modeling for Stock Investment Recommendation |
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4 |
| BADFSS: Backdoor Attacks on Federated Self-Supervised Learning |
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4 |
| BATON: Aligning Text-to-Audio Model Using Human Preference Feedback |
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2 |
| BadFusion: 2D-Oriented Backdoor Attacks against 3D Object Detection |
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4 |
| Balancing Multimodal Learning via Online Logit Modulation |
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4 |
| Bandits with Concave Aggregated Reward |
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2 |
| Best Arm Identification with Retroactively Increased Sampling Budget for More Resource-Efficient HPO |
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4 |
| Beyond Alignment: Blind Video Face Restoration via Parsing-Guided Temporal-Coherent Transformer |
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3 |
| Beyond What If: Advancing Counterfactual Text Generation with Structural Causal Modeling |
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1 |
| BeyondVision: An EMG-driven Micro Hand Gesture Recognition Based on Dynamic Segmentation |
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2 |
| BlockEcho: Retaining Long-Range Dependencies for Imputing Block-Wise Missing Data |
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2 |
| BoostDream: Efficient Refining for High-Quality Text-to-3D Generation from Multi-View Diffusion |
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4 |
| Boosting Diffusion Models with an Adaptive Momentum Sampler |
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5 |
| Boosting Efficiency in Task-Agnostic Exploration through Causal Knowledge |
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3 |
| Boosting Model Resilience via Implicit Adversarial Data Augmentation |
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5 |
| Boosting Single Positive Multi-label Classification with Generalized Robust Loss |
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4 |
| Boundary-aware Decoupled Flow Networks for Realistic Extreme Rescaling |
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4 |
| Breaking Barriers of System Heterogeneity: Straggler-Tolerant Multimodal Federated Learning via Knowledge Distillation |
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5 |
| Bridge to Non-Barrier Communication: Gloss-Prompted Fine-Grained Cued Speech Gesture Generation with Diffusion Model |
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4 |
| Bridging Generative and Discriminative Models for Unified Visual Perception with Diffusion Priors |
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3 |
| Bridging LiDAR Gaps: A Multi-LiDARs Domain Adaptation Dataset for 3D Semantic Segmentation |
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5 |
| Bridging Stereo Geometry and BEV Representation with Reliable Mutual Interaction for Semantic Scene Completion |
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3 |
| Bridging the Gap between General and Down-Closed Convex Sets in Submodular Maximization |
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3 |
| Bridging the Gap: Learning Pace Synchronization for Open-World Semi-Supervised Learning |
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4 |
| Bring Metric Functions into Diffusion Models |
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3 |
| By Fair Means or Foul: Quantifying Collusion in a Market Simulation with Deep Reinforcement Learning |
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2 |
| Bypassing the ASP Bottleneck: Hybrid Grounding by Splitting and Rewriting |
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6 |
| C3L: Content Correlated Vision-Language Instruction Tuning Data Generation via Contrastive Learning |
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3 |
| CAP: A Context-Aware Neural Predictor for NAS |
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3 |
| CF-Deformable DETR: An End-to-End Alignment-Free Model for Weakly Aligned Visible-Infrared Object Detection |
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4 |
| CIC: A Framework for Culturally-Aware Image Captioning |
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4 |
| CLIP-FSAC: Boosting CLIP for Few-Shot Anomaly Classification with Synthetic Anomalies |
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2 |
| CLR-Face: Conditional Latent Refinement for Blind Face Restoration Using Score-Based Diffusion Models |
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2 |
| CMACE: CMAES-based Counterfactual Explanations for Black-box Models |
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3 |
| CMMU: A Benchmark for Chinese Multi-modal Multi-type Question Understanding and Reasoning |
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5 |
| CONC: Complex-noise-resistant Open-set Node Classification with Adaptive Noise Detection |
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3 |
| CPa-WAC: Constellation Partitioning-based Scalable Weighted Aggregation Composition for Knowledge Graph Embedding |
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6 |
| Capturing Knowledge Graphs and Rules with Octagon Embeddings |
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1 |
| CausVSR: Causality Inspired Visual Sentiment Recognition |
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| CausalNET: Unveiling Causal Structures on Event Sequences by Topology-Informed Causal Attention |
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3 |
| Causality-enhanced Discreted Physics-informed Neural Networks for Predicting Evolutionary Equations |
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4 |
| Certified Policy Verification and Synthesis for MDPs under Distributional Reach-Avoidance Properties |
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4 |
| ChatSpot: Bootstrapping Multimodal LLMs via Precise Referring Instruction Tuning |
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3 |
| Class-Specific Semantic Generation and Reconstruction Learning for Open Set Recognition |
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5 |
| Class-consistent Contrastive Learning Driven Cross-dimensional Transformer for 3D Medical Image Classification |
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❌ |
✅ |
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 |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
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3 |
| Facility Location Problems with Capacity Constraints: Two Facilities and Beyond |
✅ |
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❌ |
❌ |
❌ |
❌ |
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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 |
✅ |
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✅ |
❌ |
✅ |
✅ |
✅ |
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 |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
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4 |
| Feature Norm Regularized Federated Learning: Utilizing Data Disparities for Model Performance Gains |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| FedConPE: Efficient Federated Conversational Bandits with Heterogeneous Clients |
✅ |
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✅ |
❌ |
❌ |
❌ |
✅ |
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 |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
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4 |
| Formal Verification of Parameterised Neural-symbolic Multi-agent Systems |
❌ |
❌ |
❌ |
❌ |
✅ |
✅ |
✅ |
3 |
| Formalisation and Evaluation of Properties for Consequentialist Machine Ethics |
❌ |
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❌ |
❌ |
❌ |
❌ |
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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 |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
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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 |
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❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
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 |
❌ |
✅ |
✅ |
❌ |
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❌ |
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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 |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
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1 |
| Generalized Taxonomy-Guided Graph Neural Networks |
❌ |
❌ |
✅ |
✅ |
❌ |
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3 |
| Generate Synthetic Text Approximating the Private Distribution with Differential Privacy |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Generating More Audios for End-to-End Spoken Language Understanding |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
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4 |
| Geometry-Guided Conditional Adaptation for Surrogate Models of Large-Scale 3D PDEs on Arbitrary Geometries |
❌ |
❌ |
✅ |
❌ |
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3 |
| Getting More by Knowing Less: Bayesian Incentive Compatible Mechanisms for Fair Division |
✅ |
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❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Global Optimality of Single-Timescale Actor-Critic under Continuous State-Action Space: A Study on Linear Quadratic Regulator |
✅ |
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❌ |
❌ |
❌ |
❌ |
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1 |
| Gradformer: Graph Transformer with Exponential Decay |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
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4 |
| Graph Attention Network with High-Order Neighbor Information Propagation for Social Recommendation |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Graph Collaborative Expert Finding with Contrastive Learning |
❌ |
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✅ |
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3 |
| Graph Contrastive Learning with Reinforcement Augmentation |
✅ |
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✅ |
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4 |
| Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning |
❌ |
✅ |
✅ |
❌ |
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3 |
| Guidance Graph Optimization for Lifelong Multi-Agent Path Finding |
✅ |
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✅ |
❌ |
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5 |
| Guiding GBFS through Learned Pairwise Rankings |
✅ |
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✅ |
✅ |
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❌ |
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6 |
| HVOFusion: Incremental Mesh Reconstruction Using Hybrid Voxel Octree |
❌ |
✅ |
✅ |
❌ |
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4 |
| Hacking Task Confounder in Meta-Learning |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Hard-Thresholding Meets Evolution Strategies in Reinforcement Learning |
✅ |
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✅ |
❌ |
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❌ |
✅ |
4 |
| HeterGCL: Graph Contrastive Learning Framework on Heterophilic Graph |
❌ |
✅ |
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✅ |
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❌ |
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5 |
| Heterogeneous Causal Metapath Graph Neural Network for Gene-Microbe-Disease Association Prediction |
❌ |
✅ |
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❌ |
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4 |
| Heterogeneous Graph Transformer with Poly-Tokenization |
❌ |
❌ |
✅ |
✅ |
❌ |
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❌ |
2 |
| Hierarchical Reinforcement Learning for Point of Interest Recommendation |
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✅ |
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❌ |
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4 |
| Hierarchical Reinforcement Learning on Multi-Channel Hypergraph Neural Network for Course Recommendation |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Higher-Order Argumentation Frameworks: Principles and Gradual Semantics |
❌ |
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❌ |
❌ |
❌ |
❌ |
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0 |
| History Repeats Itself: A Baseline for Temporal Knowledge Graph Forecasting |
❌ |
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✅ |
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4 |
| How Hard Is It to Impact the Impact of Your Paper? |
❌ |
❌ |
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❌ |
❌ |
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0 |
| How to Learn Domain-Invariant Representations for Visual Reinforcement Learning: An Information-Theoretical Perspective |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
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4 |
| Hundred-Kilobyte Lookup Tables for Efficient Single-Image Super-Resolution |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
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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 |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
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6 |
| Hybrid Frequency Modulation Network for Image Restoration |
❌ |
✅ |
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4 |
| HypBO: Accelerating Black-Box Scientific Experiments Using Experts’ Hypotheses |
✅ |
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4 |
| Hypergraph Self-supervised Learning with Sampling-efficient Signals |
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4 |
| Hyperparameter Optimization Can Even Be Harmful in Off-Policy Learning and How to Deal with It |
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4 |
| IMM: An Imitative Reinforcement Learning Approach with Predictive Representation Learning for Automatic Market Making |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
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1 |
| Image Retrieval with Self-Supervised Divergence Minimization and Cross-Attention Classification |
❌ |
❌ |
✅ |
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3 |
| Imperfect-Recall Games: Equilibrium Concepts and Their Complexity |
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❌ |
❌ |
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 |
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❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
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 |
❌ |
❌ |
✅ |
❌ |
✅ |
✅ |
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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 |
❌ |
✅ |
✅ |
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2 |
| Motion-Aware Heatmap Regression for Human Pose Estimation in Videos |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| MuEP: A Multimodal Benchmark for Embodied Planning with Foundation Models |
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✅ |
✅ |
❌ |
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❌ |
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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 |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
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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 |
✅ |
✅ |
❌ |
✅ |
❌ |
❌ |
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4 |
| Off-Agent Trust Region Policy Optimization |
✅ |
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❌ |
2 |
| Offline Policy Learning via Skill-step Abstraction for Long-horizon Goal-Conditioned Tasks |
✅ |
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✅ |
❌ |
❌ |
❌ |
❌ |
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 |
✅ |
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✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Online Learning of Capacity-Based Preference Models |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
3 |
| Online Learning of Partitions in Additively Separable Hedonic Games |
✅ |
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❌ |
❌ |
❌ |
❌ |
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1 |
| Online Learning with Off-Policy Feedback in Adversarial MDPs |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Online Sampling and Decision Making with Low Entropy |
✅ |
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❌ |
❌ |
❌ |
❌ |
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 |
✅ |
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❌ |
❌ |
✅ |
2 |
| Ordinal Maximin Guarantees for Group Fair Division |
✅ |
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❌ |
❌ |
❌ |
❌ |
❌ |
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 |
✅ |
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✅ |
✅ |
❌ |
❌ |
✅ |
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 |
❌ |
❌ |
✅ |
❌ |
✅ |
✅ |
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4 |
| Partial Optimal Transport Based Out-of-Distribution Detection for Open-Set Semi-Supervised Learning |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Peptide Vaccine Design by Evolutionary Multi-Objective Optimization |
✅ |
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✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Personalized Federated Learning for Cross-City Traffic Prediction |
✅ |
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✅ |
❌ |
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❌ |
✅ |
4 |
| Personalized Heart Disease Detection via ECG Digital Twin Generation |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
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6 |
| Perturbation Guiding Contrastive Representation Learning for Time Series Anomaly Detection |
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❌ |
✅ |
✅ |
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❌ |
✅ |
4 |
| Physics-Informed Neural Networks: Minimizing Residual Loss with Wide Networks and Effective Activations |
❌ |
✅ |
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❌ |
❌ |
❌ |
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2 |
| Physics-Informed Trajectory Prediction for Autonomous Driving under Missing Observation |
✅ |
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✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| Pluggable Watermarking of Deepfake Models for Deepfake Detection |
❌ |
✅ |
✅ |
❌ |
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❌ |
✅ |
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 |
❌ |
✅ |
✅ |
❌ |
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❌ |
✅ |
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 |
❌ |
✅ |
✅ |
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❌ |
✅ |
3 |
| QFormer: An Efficient Quaternion Transformer for Image Denoising |
❌ |
❌ |
✅ |
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❌ |
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1 |
| Quality-Diversity Algorithms Can Provably Be Helpful for Optimization |
✅ |
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❌ |
❌ |
❌ |
❌ |
❌ |
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 |
❌ |
✅ |
✅ |
❌ |
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✅ |
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 |
✅ |
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✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Real-World Networks Are Low-Dimensional: Theoretical and Practical Assessment |
❌ |
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✅ |
❌ |
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❌ |
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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 |
❌ |
✅ |
✅ |
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4 |
| Towards Geometric Normalization Techniques in SE(3) Equivariant Graph Neural Networks for Physical Dynamics Simulations |
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3 |
| Towards Robust Multi-Label Learning against Dirty Label Noise |
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3 |
| Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning |
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3 |
| Towards Sharper Generalization Bounds for Adversarial Contrastive Learning |
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2 |
| Towards Sharper Risk Bounds for Minimax Problems |
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1 |
| Towards a Framework for Learning of Algorithms: The Case of Learned Comparison Sorts |
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5 |
| Towards a Pretrained Model for Restless Bandits via Multi-arm Generalization |
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❌ |
❌ |
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4 |
| Towards a Principle-based Framework for Assessing the Contribution of Formulas on the Conflicts of Knowledge Bases |
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❌ |
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❌ |
❌ |
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0 |
| Trade When Opportunity Comes: Price Movement Forecasting via Locality-Aware Attention and Iterative Refinement Labeling |
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3 |
| Trusted Multi-view Learning with Label Noise |
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✅ |
✅ |
❌ |
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✅ |
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5 |
| Truth Table Net: Scalable, Compact & Verifiable Neural Networks with a Dual Convolutional Small Boolean Circuit Networks Form |
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✅ |
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❌ |
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3 |
| Truthful Interval Covering |
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0 |
| Two-stage Semi-supervised Speaker Recognition with Gated Label Learning |
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✅ |
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❌ |
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3 |
| Unbiased Active Semi-supervised Binary Classification Models |
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❌ |
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4 |
| UniM-OV3D: Uni-Modality Open-Vocabulary 3D Scene Understanding with Fine-Grained Feature Representation |
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✅ |
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❌ |
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4 |
| Unified Evidence Enhancement Inference Framework for Fake News Detection |
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2 |
| Unified Physical-Digital Face Attack Detection |
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✅ |
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❌ |
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2 |
| Unified Single-Stage Transformer Network for Efficient RGB-T Tracking |
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✅ |
✅ |
❌ |
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✅ |
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5 |
| Unified Unsupervised Salient Object Detection via Knowledge Transfer |
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4 |
| Unified View Imputation and Feature Selection Learning for Incomplete Multi-view Data |
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❌ |
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3 |
| Unlearning during Learning: An Efficient Federated Machine Unlearning Method |
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3 |
| Unlearning from Weakly Supervised Learning |
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4 |
| Unsupervised Anomaly Detection via Masked Diffusion Posterior Sampling |
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4 |
| Unsupervised Deep Graph Structure and Embedding Learning |
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4 |
| Updates on the Complexity of SHAP Scores |
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1 |
| Using Large Language Models to Improve Query-based Constraint Acquisition |
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4 |
| VCC-INFUSE: Towards Accurate and Efficient Selection of Unlabeled Examples in Semi-supervised Learning |
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3 |
| VCformer: Variable Correlation Transformer with Inherent Lagged Correlation for Multivariate Time Series Forecasting |
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4 |
| VF-Detector: Making Multi-Granularity Code Changes on Vulnerability Fix Detector Robust to Mislabeled Changes |
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4 |
| VSGT: Variational Spatial and Gaussian Temporal Graph Models for EEG-based Emotion Recognition |
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✅ |
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2 |
| Vertical Symbolic Regression via Deep Policy Gradient |
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4 |
| Vision-based Discovery of Nonlinear Dynamics for 3D Moving Target |
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2 |
| Vision-fused Attack: Advancing Aggressive and Stealthy Adversarial Text against Neural Machine Translation |
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4 |
| Visual Attention Prompted Prediction and Learning |
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6 |
| Vulnerabilities of Single-Round Incentive Compatibility in Auto-bidding: Theory and Evidence from ROI-Constrained Online Advertising Markets |
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0 |
| WPML3CP: Wasserstein Partial Multi-Label Learning with Dual Label Correlation Perspectives |
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✅ |
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3 |
| WSRFNet: Wavelet-Based Scale-Specific Recurrent Feedback Network for Diabetic Retinopathy Lesion Segmentation |
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5 |
| WeatherGNN: Exploiting Meteo- and Spatial-Dependencies for Local Numerical Weather Prediction Bias-Correction |
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3 |
| Weighted EF1 and PO Allocations with Few Types of Agents or Chores |
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1 |
| Welfare Loss in Connected Resource Allocation |
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1 |
| What Hides behind Unfairness? Exploring Dynamics Fairness in Reinforcement Learning |
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3 |
| What Is Best for Students, Numerical Scores or Letter Grades? |
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1 |
| What Makes Models Compositional? A Theoretical View |
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0 |
| When Fairness Meets Privacy: Exploring Privacy Threats in Fair Binary Classifiers via Membership Inference Attacks |
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1 |
| Where Elegance Meets Precision: Towards a Compact, Automatic, and Flexible Framework for Multi-modality Image Fusion and Applications |
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6 |
| Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders |
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3 |
| Who Looks like Me: Semantic Routed Image Harmonization |
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5 |
| Why Only Text: Empowering Vision-and-Language Navigation with Multi-modal Prompts |
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5 |
| With a Little Help from Language: Semantic Enhanced Visual Prototype Framework for Few-Shot Learning |
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3 |
| X-Light: Cross-City Traffic Signal Control Using Transformer on Transformer as Meta Multi-Agent Reinforcement Learner |
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3 |
| Zero-Shot Sketch Based Image Retrieval via Modality Capacity Guidance |
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5 |
| Zero-shot High-fidelity and Pose-controllable Character Animation |
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5 |
| Zero-shot Learning for Preclinical Drug Screening |
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3 |
| ZeroDDI: A Zero-Shot Drug-Drug Interaction Event Prediction Method with Semantic Enhanced Learning and Dual-modal Uniform Alignment |
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4 |
| Zeta*-SIPP: Improved Time-Optimal Any-Angle Safe-Interval Path Planning |
✅ |
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❌ |
✅ |
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6 |
| vMFER: Von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement |
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✅ |
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2 |