| 3D Assembly Completion |
❌ |
❌ |
✅ |
✅ |
❌ |
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3 |
| 3D Human Pose Lifting with Grid Convolution |
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✅ |
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❌ |
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5 |
| 3D-TOGO: Towards Text-Guided Cross-Category 3D Object Generation |
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✅ |
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3 |
| A Benchmark and Asymmetrical-Similarity Learning for Practical Image Copy Detection |
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✅ |
✅ |
❌ |
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❌ |
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2 |
| A Coreset Learning Reality Check |
✅ |
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4 |
| A Data Source for Reasoning Embodied Agents |
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✅ |
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2 |
| A Disentangled-Attention Based Framework with Persona-Aware Prompt Learning for Dialogue Generation |
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❌ |
✅ |
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❌ |
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2 |
| A Domain-Knowledge-Inspired Music Embedding Space and a Novel Attention Mechanism for Symbolic Music Modeling |
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✅ |
✅ |
❌ |
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2 |
| A Domain-Transfer Meta Task Design Paradigm for Few-Shot Slot Tagging |
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❌ |
✅ |
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3 |
| A Dynamics and Task Decoupled Reinforcement Learning Architecture for High-Efficiency Dynamic Target Intercept |
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✅ |
1 |
| A Fair Generative Model Using LeCam Divergence |
✅ |
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✅ |
✅ |
✅ |
✅ |
❌ |
5 |
| A Faster Practical Approximation Scheme for the Permanent |
✅ |
✅ |
✅ |
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✅ |
4 |
| A Formal Metareasoning Model of Concurrent Planning and Execution |
✅ |
✅ |
❌ |
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❌ |
❌ |
✅ |
3 |
| A Framework to Design Approximation Algorithms for Finding Diverse Solutions in Combinatorial Problems |
✅ |
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❌ |
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1 |
| A Generalized Scalarization Method for Evolutionary Multi-Objective Optimization |
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✅ |
✅ |
❌ |
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❌ |
✅ |
3 |
| A Generalized Unbiased Risk Estimator for Learning with Augmented Classes |
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❌ |
✅ |
✅ |
✅ |
❌ |
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4 |
| A Generative Approach for Script Event Prediction via Contrastive Fine-Tuning |
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✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| A Gift from Label Smoothing: Robust Training with Adaptive Label Smoothing via Auxiliary Classifier under Label Noise |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| A Graph Fusion Approach for Cross-Lingual Machine Reading Comprehension |
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❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| A Latent-Variable Model for Intrinsic Probing |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| A Learnable Radial Basis Positional Embedding for Coordinate-MLPs |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| A Machine with Short-Term, Episodic, and Semantic Memory Systems |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| A Model-Agnostic Heuristics for Selective Classification |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
7 |
| A Neural Span-Based Continual Named Entity Recognition Model |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| A Noise-Tolerant Differentiable Learning Approach for Single Occurrence Regular Expression with Interleaving |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| A Pair-Approximation Method for Modelling the Dynamics of Multi-Agent Stochastic Games |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| A Parameterized Theory of PAC Learning |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| A Proof That Using Crossover Can Guarantee Exponential Speed-Ups in Evolutionary Multi-Objective Optimisation |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| A Provable Framework of Learning Graph Embeddings via Summarization |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| A Question-Answering Approach to Key Value Pair Extraction from Form-Like Document Images |
❌ |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
5 |
| A Scope Sensitive and Result Attentive Model for Multi-Intent Spoken Language Understanding |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| A Semi-parametric Model for Decision Making in High-Dimensional Sensory Discrimination Tasks |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| A Set of Control Points Conditioned Pedestrian Trajectory Prediction |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| A Simple Baseline for Multi-Camera 3D Object Detection |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| A Simple Unified Approach to Testing High-Dimensional Conditional Independences for Categorical and Ordinal Data |
❌ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
4 |
| A Simple Yet Effective Subsequence-Enhanced Approach for Cross-Domain NER |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| A Speaker Turn-Aware Multi-Task Adversarial Network for Joint User Satisfaction Estimation and Sentiment Analysis |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| A Structural Complexity Analysis of Synchronous Dynamical Systems |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| A Survey on Model Compression and Acceleration for Pretrained Language Models |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| A Tale of Two Latent Flows: Learning Latent Space Normalizing Flow with Short-Run Langevin Flow for Approximate Inference |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
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3 |
| A Vector Quantized Approach for Text to Speech Synthesis on Real-World Spontaneous Speech |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| AC-Band: A Combinatorial Bandit-Based Approach to Algorithm Configuration |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
✅ |
5 |
| ACE: Cooperative Multi-Agent Q-learning with Bidirectional Action-Dependency |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
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1 |
| ACL-Net: Semi-supervised Polyp Segmentation via Affinity Contrastive Learning |
❌ |
✅ |
✅ |
❌ |
✅ |
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4 |
| ADEPT: A DEbiasing PrompT Framework |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
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5 |
| ADMoE: Anomaly Detection with Mixture-of-Experts from Noisy Labels |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| AEC-GAN: Adversarial Error Correction GANs for Auto-Regressive Long Time-Series Generation |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
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4 |
| AIO-P: Expanding Neural Performance Predictors beyond Image Classification |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
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3 |
| AMOM: Adaptive Masking over Masking for Conditional Masked Language Model |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| AUC Maximization for Low-Resource Named Entity Recognition |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| AVCAffe: A Large Scale Audio-Visual Dataset of Cognitive Load and Affect for Remote Work |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
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4 |
| Abstract Argumentation Framework with Conditional Preferences |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Accelerating the Training of Video Super-resolution Models |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
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4 |
| Acceleration of Large Transformer Model Training by Sensitivity-Based Layer Dropping |
✅ |
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✅ |
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✅ |
✅ |
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5 |
| Accommodating Audio Modality in CLIP for Multimodal Processing |
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✅ |
✅ |
✅ |
✅ |
❌ |
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4 |
| Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Conservative Natural Policy Gradient Primal-Dual Algorithm |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
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3 |
| Action-Conditioned Generation of Bimanual Object Manipulation Sequences |
❌ |
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✅ |
❌ |
✅ |
✅ |
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5 |
| Actional Atomic-Concept Learning for Demystifying Vision-Language Navigation |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
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4 |
| Actionness Inconsistency-Guided Contrastive Learning for Weakly-Supervised Temporal Action Localization |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
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4 |
| Active Token Mixer |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| AdaBoost.C2: Boosting Classifiers Chains for Multi-Label Classification |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
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5 |
| AdaCM: Adaptive ColorMLP for Real-Time Universal Photo-Realistic Style Transfer |
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❌ |
✅ |
❌ |
✅ |
❌ |
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2 |
| AdaTask: A Task-Aware Adaptive Learning Rate Approach to Multi-Task Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
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2 |
| AdapSafe: Adaptive and Safe-Certified Deep Reinforcement Learning-Based Frequency Control for Carbon-Neutral Power Systems |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Adapting Object Size Variance and Class Imbalance for Semi-supervised Object Detection |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Adaptive Discrete Communication Bottlenecks with Dynamic Vector Quantization for Heterogeneous Representational Coarseness |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Adaptive Dynamic Filtering Network for Image Denoising |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
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5 |
| Adaptive Hierarchy-Branch Fusion for Online Knowledge Distillation |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
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5 |
| Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Adaptive Mixing of Auxiliary Losses in Supervised Learning |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Adaptive Perturbation-Based Gradient Estimation for Discrete Latent Variable Models |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
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5 |
| Adaptive Policy Learning for Offline-to-Online Reinforcement Learning |
✅ |
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✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Adaptive Texture Filtering for Single-Domain Generalized Segmentation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
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4 |
| Adjective Scale Probe: Can Language Models Encode Formal Semantics Information? |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
1 |
| Adversarial Alignment for Source Free Object Detection |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
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5 |
| Adversarial Robust Deep Reinforcement Learning Requires Redefining Robustness |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Adversarial Self-Attention for Language Understanding |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Adversarial Weight Perturbation Improves Generalization in Graph Neural Networks |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
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4 |
| Adversarial Word Dilution as Text Data Augmentation in Low-Resource Regime |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Aesthetically Relevant Image Captioning |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Alignment-Enriched Tuning for Patch-Level Pre-trained Document Image Models |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
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3 |
| Almost Cost-Free Communication in Federated Best Arm Identification |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
3 |
| AlphaRoute: Large-Scale Coordinated Route Planning via Monte Carlo Tree Search |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
❌ |
3 |
| Alternating Layered Variational Quantum Circuits Can Be Classically Optimized Efficiently Using Classical Shadows |
❌ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
2 |
| Amodal Instance Segmentation via Prior-Guided Expansion |
❌ |
❌ |
✅ |
❌ |
✅ |
✅ |
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4 |
| An Adaptive Layer to Leverage Both Domain and Task Specific Information from Scarce Data |
❌ |
✅ |
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❌ |
❌ |
❌ |
✅ |
2 |
| An Efficient Algorithm for Fair Multi-Agent Multi-Armed Bandit with Low Regret |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
3 |
| An Efficient Deep Reinforcement Learning Algorithm for Solving Imperfect Information Extensive-Form Games |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| An Ensemble Distillation Framework for Sentence Embeddings with Multilingual Round-Trip Translation |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| An Equivalence Analysis of Binary Quantification Methods |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| An Extreme-Adaptive Time Series Prediction Model Based on Probability-Enhanced LSTM Neural Networks |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
✅ |
5 |
| An Improved Algorithm for Online Min-Sum Set Cover |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| An Improved Approximation Algorithm for Wage Determination and Online Task Allocation in Crowd-Sourcing |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| An Operator Theoretic Approach for Analyzing Sequence Neural Networks |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Analogical Inference Enhanced Knowledge Graph Embedding |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
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4 |
| Analyzing and Improving the Use of the FastMap Embedding in Pathfinding Tasks |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| Anomaly Segmentation for High-Resolution Remote Sensing Images Based on Pixel Descriptors |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
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4 |
| Anytime User Engagement Prediction in Information Cascades for Arbitrary Observation Periods |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
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4 |
| Approval-Based Voting with Mixed Goods |
✅ |
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❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Approximating Full Conformal Prediction at Scale via Influence Functions |
✅ |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
5 |
| Approximations for Indivisible Concave Allocations with Applications to Nash Welfare Maximization |
✅ |
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❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Are Transformers Effective for Time Series Forecasting? |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
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3 |
| Astromorphic Self-Repair of Neuromorphic Hardware Systems |
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✅ |
❌ |
✅ |
✅ |
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5 |
| Asynchronous Event Processing with Local-Shift Graph Convolutional Network |
❌ |
❌ |
✅ |
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✅ |
❌ |
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3 |
| Attack Can Benefit: An Adversarial Approach to Recognizing Facial Expressions under Noisy Annotations |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
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4 |
| Attention-Based Depth Distillation with 3D-Aware Positional Encoding for Monocular 3D Object Detection |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
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5 |
| Attribute and Structure Preserving Graph Contrastive Learning |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
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6 |
| Audio-Visual Contrastive Learning with Temporal Self-Supervision |
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❌ |
✅ |
❌ |
❌ |
❌ |
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2 |
| AudioEar: Single-View Ear Reconstruction for Personalized Spatial Audio |
❌ |
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✅ |
❌ |
❌ |
❌ |
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3 |
| Augmented Proximal Policy Optimization for Safe Reinforcement Learning |
✅ |
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✅ |
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2 |
| Augmenting Affective Dependency Graph via Iterative Incongruity Graph Learning for Sarcasm Detection |
✅ |
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✅ |
✅ |
❌ |
❌ |
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4 |
| Auto-Weighted Multi-View Clustering for Large-Scale Data |
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5 |
| AutoGraph: Optimizing DNN Computation Graph for Parallel GPU Kernel Execution |
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5 |
| AutoInit: Analytic Signal-Preserving Weight Initialization for Neural Networks |
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5 |
| AutoNF: Automated Architecture Optimization of Normalizing Flows with Unconstrained Continuous Relaxation Admitting Optimal Discrete Solution |
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3 |
| AutoSTL: Automated Spatio-Temporal Multi-Task Learning |
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✅ |
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2 |
| AutoStegaFont: Synthesizing Vector Fonts for Hiding Information in Documents |
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✅ |
❌ |
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✅ |
3 |
| Automata Cascades: Expressivity and Sample Complexity |
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❌ |
❌ |
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0 |
| Automated Verification of Propositional Agent Abstraction for Classical Planning via CTLK Model Checking |
❌ |
✅ |
✅ |
❌ |
✅ |
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4 |
| Automated Verification of Social Laws in Numeric Settings |
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❌ |
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✅ |
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5 |
| Automatically Verifying Expressive Epistemic Properties of Programs |
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❌ |
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1 |
| Avocodo: Generative Adversarial Network for Artifact-Free Vocoder |
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✅ |
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❌ |
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4 |
| BERT-ERC: Fine-Tuning BERT Is Enough for Emotion Recognition in Conversation |
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❌ |
✅ |
✅ |
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4 |
| BEST: BERT Pre-training for Sign Language Recognition with Coupling Tokenization |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| BETA-CD: A Bayesian Meta-Learned Cognitive Diagnosis Framework for Personalized Learning |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| BEVDepth: Acquisition of Reliable Depth for Multi-View 3D Object Detection |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| BEVStereo: Enhancing Depth Estimation in Multi-View 3D Object Detection with Temporal Stereo |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Back to the Future: Toward a Hybrid Architecture for Ad Hoc Teamwork |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Background-Mixed Augmentation for Weakly Supervised Change Detection |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Backpropagation-Free Deep Learning with Recursive Local Representation Alignment |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
7 |
| Balanced Column-Wise Block Pruning for Maximizing GPU Parallelism |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Balanced Meta Learning and Diverse Sampling for Lifelong Task-Oriented Dialogue Systems |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Ballot Length in Instant Runoff Voting |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Bayesian Cross-Modal Alignment Learning for Few-Shot Out-of-Distribution Generalization |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Bayesian Federated Neural Matching That Completes Full Information |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Bayesian Optimization-Based Combinatorial Assignment |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Beam Search Optimized Batch Bayesian Active Learning |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Behavior Estimation from Multi-Source Data for Offline Reinforcement Learning |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Behavioral Learning in Security Games: Threat of Multi-Step Manipulative Attacks |
✅ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Bespoke: A Block-Level Neural Network Optimization Framework for Low-Cost Deployment |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Better Context Makes Better Code Language Models: A Case Study on Function Call Argument Completion |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Better Generalized Few-Shot Learning Even without Base Data |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
4 |
| Better Peer Grading through Bayesian Inference |
❌ |
✅ |
❌ |
✅ |
❌ |
❌ |
✅ |
3 |
| Better and Faster: Adaptive Event Conversion for Event-Based Object Detection |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Beyond ADMM: A Unified Client-Variance-Reduced Adaptive Federated Learning Framework |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Beyond Graph Convolutional Network: An Interpretable Regularizer-Centered Optimization Framework |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
4 |
| Bi-directional Feature Reconstruction Network for Fine-Grained Few-Shot Image Classification |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Bidding Graph Games with Partially-Observable Budgets |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Bidirectional Domain Mixup for Domain Adaptive Semantic Segmentation |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Bidirectional Optical Flow NeRF: High Accuracy and High Quality under Fewer Views |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Bilinear Exponential Family of MDPs: Frequentist Regret Bound with Tractable Exploration & Planning |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Black-Box Adversarial Attack on Time Series Classification |
✅ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| Boosted Dynamic Neural Networks |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
6 |
| Boosting Few-Shot Text Classification via Distribution Estimation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Boosting Graph Neural Networks via Adaptive Knowledge Distillation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Boosting Point Clouds Rendering via Radiance Mapping |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Boosting Semi-Supervised Semantic Segmentation with Probabilistic Representations |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Bootstrapping Multi-View Representations for Fake News Detection |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Boundary Graph Neural Networks for 3D Simulations |
✅ |
✅ |
❌ |
✅ |
✅ |
❌ |
✅ |
5 |
| Breaking Immutable: Information-Coupled Prototype Elaboration for Few-Shot Object Detection |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| BridgeTower: Building Bridges between Encoders in Vision-Language Representation Learning |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| C-NTPP: Learning Cluster-Aware Neural Temporal Point Process |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| CALIP: Zero-Shot Enhancement of CLIP with Parameter-Free Attention |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| CCQ: Cross-Class Query Network for Partially Labeled Organ Segmentation |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| CDMA: A Practical Cross-Device Federated Learning Algorithm for General Minimax Problems |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| CDTA: A Cross-Domain Transfer-Based Attack with Contrastive Learning |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| CEE-Net: Complementary End-to-End Network for 3D Human Pose Generation and Estimation |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
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2 |
| CEM: Constrained Entropy Maximization for Task-Agnostic Safe Exploration |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| CEMA – Cost-Efficient Machine-Assisted Document Annotations |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| CF-ViT: A General Coarse-to-Fine Method for Vision Transformer |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
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5 |
| CFFT-GAN: Cross-Domain Feature Fusion Transformer for Exemplar-Based Image Translation |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
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3 |
| CL3D: Unsupervised Domain Adaptation for Cross-LiDAR 3D Detection |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
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5 |
| CLIP-ReID: Exploiting Vision-Language Model for Image Re-identification without Concrete Text Labels |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
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4 |
| CLIPVG: Text-Guided Image Manipulation Using Differentiable Vector Graphics |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
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4 |
| CMNet: Contrastive Magnification Network for Micro-Expression Recognition |
❌ |
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✅ |
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3 |
| CMVAE: Causal Meta VAE for Unsupervised Meta-Learning |
✅ |
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✅ |
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❌ |
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5 |
| COCA: COllaborative CAusal Regularization for Audio-Visual Question Answering |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| COLA: Improving Conversational Recommender Systems by Collaborative Augmentation |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
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4 |
| CP-Rec: Contextual Prompting for Conversational Recommender Systems |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| CRAFT: Camera-Radar 3D Object Detection with Spatio-Contextual Fusion Transformer |
❌ |
❌ |
✅ |
✅ |
✅ |
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4 |
| CRIN: Rotation-Invariant Point Cloud Analysis and Rotation Estimation via Centrifugal Reference Frame |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
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4 |
| CSTAR: Towards Compact and Structured Deep Neural Networks with Adversarial Robustness |
✅ |
❌ |
✅ |
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✅ |
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4 |
| Calibrated Teacher for Sparsely Annotated Object Detection |
✅ |
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✅ |
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❌ |
❌ |
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3 |
| Can Bad Teaching Induce Forgetting? Unlearning in Deep Networks Using an Incompetent Teacher |
❌ |
✅ |
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❌ |
✅ |
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5 |
| Can Label-Specific Features Help Partial-Label Learning? |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Can We Find Strong Lottery Tickets in Generative Models? |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| CasFusionNet: A Cascaded Network for Point Cloud Semantic Scene Completion by Dense Feature Fusion |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
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4 |
| Causal Conditional Hidden Markov Model for Multimodal Traffic Prediction |
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✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
2 |
| Causal Effect Identification in Cluster DAGs |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Causal Inference with Conditional Instruments Using Deep Generative Models |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Causal Intervention for Human Trajectory Prediction with Cross Attention Mechanism |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Causal Recurrent Variational Autoencoder for Medical Time Series Generation |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
3 |
| Causes of Stability in Dynamic Coalition Formation |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Centerless Multi-View K-means Based on the Adjacency Matrix |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| CertiFair: A Framework for Certified Global Fairness of Neural Networks |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
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3 |
| Certifiable Out-of-Distribution Generalization |
✅ |
✅ |
✅ |
❌ |
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❌ |
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4 |
| Certifying Fairness of Probabilistic Circuits |
✅ |
✅ |
✅ |
❌ |
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❌ |
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4 |
| Channel Regeneration: Improving Channel Utilization for Compact DNNs |
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✅ |
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❌ |
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4 |
| Characterizing Structural Hardness of Logic Programs: What Makes Cycles and Reachability Hard for Treewidth? |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
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1 |
| Circuit Minimization with QBF-Based Exact Synthesis |
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❌ |
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4 |
| Class Fairness in Online Matching |
✅ |
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1 |
| Class Overwhelms: Mutual Conditional Blended-Target Domain Adaptation |
❌ |
❌ |
✅ |
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❌ |
❌ |
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2 |
| Class-Independent Regularization for Learning with Noisy Labels |
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✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| ClassFormer: Exploring Class-Aware Dependency with Transformer for Medical Image Segmentation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
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3 |
| Cluster-Guided Contrastive Graph Clustering Network |
✅ |
✅ |
✅ |
❌ |
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5 |
| Clustering What Matters: Optimal Approximation for Clustering with Outliers |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
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0 |
| Co-imitation: Learning Design and Behaviour by Imitation |
✅ |
❌ |
✅ |
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❌ |
❌ |
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3 |
| CoMAE: Single Model Hybrid Pre-training on Small-Scale RGB-D Datasets |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
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4 |
| CoP: Factual Inconsistency Detection by Controlling the Preference |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
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4 |
| Coarse2Fine: Local Consistency Aware Re-prediction for Weakly Supervised Object Localization |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Code-Aware Cross-Program Transfer Hyperparameter Optimization |
❌ |
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✅ |
❌ |
❌ |
❌ |
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3 |
| Cogito Ergo Summ: Abstractive Summarization of Biomedical Papers via Semantic Parsing Graphs and Consistency Rewards |
❌ |
✅ |
✅ |
✅ |
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❌ |
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5 |
| Collective Intelligence in Human-AI Teams: A Bayesian Theory of Mind Approach |
❌ |
✅ |
✅ |
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❌ |
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3 |
| Collusion-Proof and Sybil-Proof Reward Mechanisms for Query Incentive Networks |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
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1 |
| Combating Mode Collapse via Offline Manifold Entropy Estimation |
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✅ |
✅ |
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❌ |
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3 |
| Combating Unknown Bias with Effective Bias-Conflicting Scoring and Gradient Alignment |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Combinatorial Causal Bandits |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Combinatorial Civic Crowdfunding with Budgeted Agents: Welfare Optimality at Equilibrium and Optimal Deviation |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
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3 |
| Combining Adversaries with Anti-adversaries in Training |
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✅ |
❌ |
❌ |
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4 |
| Combining Slow and Fast: Complementary Filtering for Dynamics Learning |
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❌ |
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✅ |
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3 |
| Commitment Games with Conditional Information Disclosure |
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1 |
| Common Knowledge of Abstract Groups |
❌ |
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❌ |
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0 |
| Communication-Efficient Collaborative Best Arm Identification |
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❌ |
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❌ |
❌ |
3 |
| Compact Transformer Tracker with Correlative Masked Modeling |
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5 |
| Competition or Cooperation? Exploring Unlabeled Data via Challenging Minimax Game for Semi-supervised Relation Extraction |
✅ |
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4 |
| Competition, Alignment, and Equilibria in Digital Marketplaces |
❌ |
❌ |
❌ |
❌ |
❌ |
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0 |
| Complement Sparsification: Low-Overhead Model Pruning for Federated Learning |
✅ |
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✅ |
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4 |
| Complex Dynamic Neurons Improved Spiking Transformer Network for Efficient Automatic Speech Recognition |
❌ |
✅ |
✅ |
✅ |
❌ |
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✅ |
4 |
| Complexity of Probabilistic Inference in Random Dichotomous Hedonic Games |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Complexity of Reasoning with Cardinality Minimality Conditions |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Complexity of Safety and coSafety Fragments of Linear Temporal Logic |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Compositional Prototypical Networks for Few-Shot Classification |
❌ |
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4 |
| Compressed Decentralized Learning of Conditional Mean Embedding Operators in Reproducing Kernel Hilbert Spaces |
✅ |
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❌ |
❌ |
❌ |
✅ |
2 |
| Compressed Heterogeneous Graph for Abstractive Multi-Document Summarization |
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4 |
| Compressing Transformers: Features Are Low-Rank, but Weights Are Not! |
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5 |
| Computably Continuous Reinforcement-Learning Objectives Are PAC-Learnable |
✅ |
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1 |
| Computing Divergences between Discrete Decomposable Models |
❌ |
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4 |
| ConTextual Masked Auto-Encoder for Dense Passage Retrieval |
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4 |
| Conceptual Reinforcement Learning for Language-Conditioned Tasks |
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3 |
| Concurrent Multi-Label Prediction in Event Streams |
❌ |
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4 |
| Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation |
✅ |
✅ |
✅ |
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❌ |
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4 |
| Conditional Syntax Splitting for Non-monotonic Inference Operators |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Confidence-Aware Training of Smoothed Classifiers for Certified Robustness |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Consensus Learning for Cooperative Multi-Agent Reinforcement Learning |
❌ |
❌ |
✅ |
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❌ |
✅ |
2 |
| Constrained Market Share Maximization by Signal-Guided Optimization |
✅ |
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✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Constrained Submodular Optimization for Vaccine Design |
✅ |
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✅ |
✅ |
✅ |
✅ |
✅ |
7 |
| Constraint Optimization over Semirings |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Context-Aware Safe Medication Recommendations with Molecular Graph and DDI Graph Embedding |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Context-Aware Transformer for 3D Point Cloud Automatic Annotation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Continual Graph Convolutional Network for Text Classification |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Continual Learning with Scaled Gradient Projection |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Continual Variational Autoencoder via Continual Generative Knowledge Distillation |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Continuous Mixtures of Tractable Probabilistic Models |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Continuous Trajectory Generation Based on Two-Stage GAN |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| ContraFeat: Contrasting Deep Features for Semantic Discovery |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Contrastive Attention Networks for Attribution of Early Modern Print |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Contrastive Classification and Representation Learning with Probabilistic Interpretation |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Contrastive Learning Reduces Hallucination in Conversations |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Contrastive Learning with the Feature Reconstruction Amplifier |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Contrastive Masked Autoencoders for Self-Supervised Video Hashing |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Contrastive Multi-Task Dense Prediction |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Contrastive Open Set Recognition |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Contrastive Pre-training with Adversarial Perturbations for Check-In Sequence Representation Learning |
❌ |
✅ |
❌ |
✅ |
✅ |
❌ |
✅ |
4 |
| Contrastive Predictive Autoencoders for Dynamic Point Cloud Self-Supervised Learning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Controllable Image Captioning via Prompting |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Controlling Class Layout for Deep Ordinal Classification via Constrained Proxies Learning |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| ConvMatch: Rethinking Network Design for Two-View Correspondence Learning |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| ConvNTM: Conversational Neural Topic Model |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Converge to the Truth: Factual Error Correction via Iterative Constrained Editing |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| CoopInit: Initializing Generative Adversarial Networks via Cooperative Learning |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Cooperative and Adversarial Learning: Co-enhancing Discriminability and Transferability in Domain Adaptation |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| CoordFill: Efficient High-Resolution Image Inpainting via Parameterized Coordinate Querying |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Coordinate Descent Methods for DC Minimization: Optimality Conditions and Global Convergence |
✅ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| Copyright-Certified Distillation Dataset: Distilling One Million Coins into One Bitcoin with Your Private Key |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Correct for Whom? Subjectivity and the Evaluation of Personalized Image Aesthetics Assessment Models |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Correlation Loss: Enforcing Correlation between Classification and Localization |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Correspondence-Free Domain Alignment for Unsupervised Cross-Domain Image Retrieval |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Corruption-Tolerant Algorithms for Generalized Linear Models |
✅ |
✅ |
❌ |
❌ |
✅ |
❌ |
✅ |
4 |
| Counterfactual Dynamics Forecasting – a New Setting of Quantitative Reasoning |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
4 |
| Counterfactual Learning with General Data-Generating Policies |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Coupling Artificial Neurons in BERT and Biological Neurons in the Human Brain |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Covariate-Shift Generalization via Random Sample Weighting |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| CowClip: Reducing CTR Prediction Model Training Time from 12 Hours to 10 Minutes on 1 GPU |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Crafting Monocular Cues and Velocity Guidance for Self-Supervised Multi-Frame Depth Learning |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Cross-Category Highlight Detection via Feature Decomposition and Modality Alignment |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Cross-Domain Adaptative Learning for Online Advertisement Customer Lifetime Value Prediction |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
✅ |
5 |
| Cross-Domain Few-Shot Graph Classification with a Reinforced Task Coordinator |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| Cross-Domain Graph Anomaly Detection via Anomaly-Aware Contrastive Alignment |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Cross-Modal Contrastive Learning for Domain Adaptation in 3D Semantic Segmentation |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Cross-Modal Distillation for Speaker Recognition |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Cross-Modal Label Contrastive Learning for Unsupervised Audio-Visual Event Localization |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Cross-Modality Earth Mover’s Distance for Visible Thermal Person Re-identification |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Cross-Modality Person Re-identification with Memory-Based Contrastive Embedding |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Cross-View Geo-Localization via Learning Disentangled Geometric Layout Correspondence |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Crowd-Level Abnormal Behavior Detection via Multi-Scale Motion Consistency Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| CrysGNN: Distilling Pre-trained Knowledge to Enhance Property Prediction for Crystalline Materials |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Curriculum Multi-Negative Augmentation for Debiased Video Grounding |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Curriculum Temperature for Knowledge Distillation |
✅ |
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✅ |
✅ |
❌ |
❌ |
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4 |
| Cyclically Disentangled Feature Translation for Face Anti-spoofing |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| DACOM: Learning Delay-Aware Communication for Multi-Agent Reinforcement Learning |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| DAMix: Exploiting Deep Autoregressive Model Zoo for Improving Lossless Compression Generalization |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| DARL: Distance-Aware Uncertainty Estimation for Offline Reinforcement Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| DASH: A Distributed and Parallelizable Algorithm for Size-Constrained Submodular Maximization |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| DC-Former: Diverse and Compact Transformer for Person Re-identification |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| DE-net: Dynamic Text-Guided Image Editing Adversarial Networks |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| DENet: Disentangled Embedding Network for Visible Watermark Removal |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| DHGE: Dual-View Hyper-Relational Knowledge Graph Embedding for Link Prediction and Entity Typing |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| DICNet: Deep Instance-Level Contrastive Network for Double Incomplete Multi-View Multi-Label Classification |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| DINet: Deformation Inpainting Network for Realistic Face Visually Dubbing on High Resolution Video |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
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3 |
| DMIS: Dynamic Mesh-Based Importance Sampling for Training Physics-Informed Neural Networks |
✅ |
✅ |
❌ |
✅ |
❌ |
❌ |
✅ |
4 |
| DM²: Decentralized Multi-Agent Reinforcement Learning via Distribution Matching |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| DNG: Taxonomy Expansion by Exploring the Intrinsic Directed Structure on Non-gaussian Space |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| DPText-DETR: Towards Better Scene Text Detection with Dynamic Points in Transformer |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| DQ-DETR: Dual Query Detection Transformer for Phrase Extraction and Grounding |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| DRGCN: Dynamic Evolving Initial Residual for Deep Graph Convolutional Networks |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| DUET: Cross-Modal Semantic Grounding for Contrastive Zero-Shot Learning |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| DarkFeat: Noise-Robust Feature Detector and Descriptor for Extremely Low-Light RAW Images |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Darwinian Model Upgrades: Model Evolving with Selective Compatibility |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Data Imputation with Iterative Graph Reconstruction |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Data-Efficient Image Quality Assessment with Attention-Panel Decoder |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| De-biased Teacher: Rethinking IoU Matching for Semi-supervised Object Detection |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| DeAR: A Deep-Learning-Based Audio Re-recording Resilient Watermarking |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| DeCOM: Decomposed Policy for Constrained Cooperative Multi-Agent Reinforcement Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| DeFL: Defending against Model Poisoning Attacks in Federated Learning via Critical Learning Periods Awareness |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| DeMT: Deformable Mixer Transformer for Multi-Task Learning of Dense Prediction |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Debiased Fine-Tuning for Vision-Language Models by Prompt Regularization |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Decentralized Riemannian Algorithm for Nonconvex Minimax Problems |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
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4 |
| Decentralized Stochastic Multi-Player Multi-Armed Walking Bandits |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Decision-Making Context Interaction Network for Click-Through Rate Prediction |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Deconstructed Generation-Based Zero-Shot Model |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Decorate the Newcomers: Visual Domain Prompt for Continual Test Time Adaptation |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Deep Attentive Model for Knowledge Tracing |
❌ |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
5 |
| Deep Digging into the Generalization of Self-Supervised Monocular Depth Estimation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Deep Equilibrium Models for Snapshot Compressive Imaging |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Deep Graph Structural Infomax |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Deep Latent Regularity Network for Modeling Stochastic Partial Differential Equations |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Deep Manifold Attack on Point Clouds via Parameter Plane Stretching |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Deep Parametric 3D Filters for Joint Video Denoising and Illumination Enhancement in Video Super Resolution |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| Deep Spiking Neural Networks with High Representation Similarity Model Visual Pathways of Macaque and Mouse |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Deep Visual Forced Alignment: Learning to Align Transcription with Talking Face Video |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Deepfake Video Detection via Facial Action Dependencies Estimation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Defending Backdoor Attacks on Vision Transformer via Patch Processing |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Defending Black-Box Skeleton-Based Human Activity Classifiers |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Defending against Backdoor Attacks in Natural Language Generation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Delving Deep into Pixel Alignment Feature for Accurate Multi-View Human Mesh Recovery |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Delving into the Adversarial Robustness of Federated Learning |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Demystifying Randomly Initialized Networks for Evaluating Generative Models |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Denoising Multi-Similarity Formulation: A Self-Paced Curriculum-Driven Approach for Robust Metric Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Denoising Pre-training for Machine Translation Quality Estimation with Curriculum Learning |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Denoising after Entropy-Based Debiasing a Robust Training Method for Dataset Bias with Noisy Labels |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| DesNet: Decomposed Scale-Consistent Network for Unsupervised Depth Completion |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Design Amortization for Bayesian Optimal Experimental Design |
❌ |
✅ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| Detecting Multivariate Time Series Anomalies with Zero Known Label |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| Detecting Sources of Healthcare Associated Infections |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
3 |
| Detecting and Grounding Important Characters in Visual Stories |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| DiFA: Differentiable Feature Acquisition |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
❌ |
4 |
| Dialogue Rewriting via Skeleton-Guided Generation |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| Dialogue State Distillation Network with Inter-slot Contrastive Learning for Dialogue State Tracking |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| DiffMD: A Geometric Diffusion Model for Molecular Dynamics Simulations |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Diffeomorphic Information Neural Estimation |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Differentiable Meta Multigraph Search with Partial Message Propagation on Heterogeneous Information Networks |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Differentially Private Condorcet Voting |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Differentially Private Fair Division |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Differentially Private Heatmaps |
✅ |
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✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Differentially Private Learning with Per-Sample Adaptive Clipping |
✅ |
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✅ |
❌ |
✅ |
✅ |
❌ |
4 |
| Differentially Private Nonlinear Causal Discovery from Numerical Data |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Diffuser: Efficient Transformers with Multi-Hop Attention Diffusion for Long Sequences |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Diffusing Gaussian Mixtures for Generating Categorical Data |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
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4 |
| Diffusion Models Beat GANs on Topology Optimization |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
4 |
| Direct Heterogeneous Causal Learning for Resource Allocation Problems in Marketing |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Directed Acyclic Graph Structure Learning from Dynamic Graphs |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| DisGUIDE: Disagreement-Guided Data-Free Model Extraction |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Discriminability and Transferability Estimation: A Bayesian Source Importance Estimation Approach for Multi-Source-Free Domain Adaptation |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Disentangle and Remerge: Interventional Knowledge Distillation for Few-Shot Object Detection from a Conditional Causal Perspective |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
7 |
| Disentangled CVAEs with Contrastive Learning for Explainable Recommendation |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Disentangled Representation for Causal Mediation Analysis |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Disentangling Reafferent Effects by Doing Nothing |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
3 |
| Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| Distantly-Supervised Named Entity Recognition with Adaptive Teacher Learning and Fine-Grained Student Ensemble |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Distributed Projection-Free Online Learning for Smooth and Convex Losses |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Distributed Spectrum-Based Fault Localization |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
3 |
| Distributionally Robust Optimization with Probabilistic Group |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Diversified and Realistic 3D Augmentation via Iterative Construction, Random Placement, and HPR Occlusion |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Diversity Maximization in the Presence of Outliers |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| Do Invariances in Deep Neural Networks Align with Human Perception? |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| DocEdit: Language-Guided Document Editing |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Does It Pay to Optimize AUC? |
✅ |
✅ |
❌ |
✅ |
✅ |
❌ |
✅ |
5 |
| Domain Adaptation with Adversarial Training on Penultimate Activations |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Domain Decorrelation with Potential Energy Ranking |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Domain Generalised Faster R-CNN |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Domain-Adapted Dependency Parsing for Cross-Domain Named Entity Recognition |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Domain-General Crowd Counting in Unseen Scenarios |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Don’t Be So Sure! Boosting ASR Decoding via Confidence Relaxation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Don’t Predict Counterfactual Values, Predict Expected Values Instead |
❌ |
✅ |
❌ |
✅ |
❌ |
❌ |
✅ |
3 |
| Doodle to Object: Practical Zero-Shot Sketch-Based 3D Shape Retrieval |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Double Doubly Robust Thompson Sampling for Generalized Linear Contextual Bandits |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Dream to Generalize: Zero-Shot Model-Based Reinforcement Learning for Unseen Visual Distractions |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Drop Clause: Enhancing Performance, Robustness and Pattern Recognition Capabilities of the Tsetlin Machine |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| DropMessage: Unifying Random Dropping for Graph Neural Networks |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Dropout Is NOT All You Need to Prevent Gradient Leakage |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| DrugOOD: Out-of-Distribution Dataset Curator and Benchmark for AI-Aided Drug Discovery – a Focus on Affinity Prediction Problems with Noise Annotations |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Dual Label-Guided Graph Refinement for Multi-View Graph Clustering |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Dual Low-Rank Graph Autoencoder for Semantic and Topological Networks |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Dual Memory Aggregation Network for Event-Based Object Detection with Learnable Representation |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Dual Memory Units with Uncertainty Regulation for Weakly Supervised Video Anomaly Detection |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Dual Mutual Information Constraints for Discriminative Clustering |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Dual-Domain Attention for Image Deblurring |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| DyRRen: A Dynamic Retriever-Reranker-Generator Model for Numerical Reasoning over Tabular and Textual Data |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| Dynamic Ensemble of Low-Fidelity Experts: Mitigating NAS “Cold-Start” |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Dynamic Heterogeneous Graph Attention Neural Architecture Search |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Dynamic Multi-Behavior Sequence Modeling for Next Item Recommendation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Dynamic Representation Learning with Temporal Point Processes for Higher-Order Interaction Forecasting |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Dynamic Structure Pruning for Compressing CNNs |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| EASAL: Entity-Aware Subsequence-Based Active Learning for Named Entity Recognition |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| ECO-3D: Equivariant Contrastive Learning for Pre-training on Perturbed 3D Point Cloud |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
❌ |
2 |
| EMEF: Ensemble Multi-Exposure Image Fusion |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| ESL-SNNs: An Evolutionary Structure Learning Strategy for Spiking Neural Networks |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| ESPT: A Self-Supervised Episodic Spatial Pretext Task for Improving Few-Shot Learning |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Easy Begun Is Half Done: Spatial-Temporal Graph Modeling with ST-Curriculum Dropout |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Echo of Neighbors: Privacy Amplification for Personalized Private Federated Learning with Shuffle Model |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Edge Structure Learning via Low Rank Residuals for Robust Image Classification |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Editing Boolean Classifiers: A Belief Change Perspective |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| EffConv: Efficient Learning of Kernel Sizes for Convolution Layers of CNNs |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Effective Continual Learning for Text Classification with Lightweight Snapshots |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Effective Integration of Weighted Cost-to-Go and Conflict Heuristic within Suboptimal CBS |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Effective Open Intent Classification with K-center Contrastive Learning and Adjustable Decision Boundary |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Effective and Stable Role-Based Multi-Agent Collaboration by Structural Information Principles |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
❌ |
4 |
| Efficient Answer Enumeration in Description Logics with Functional Roles |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Efficient Distributed Inference of Deep Neural Networks via Restructuring and Pruning |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles between Client Data Subspaces |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Efficient Embeddings of Logical Variables for Query Answering over Incomplete Knowledge Graphs |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Efficient End-to-End Video Question Answering with Pyramidal Multimodal Transformer |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Efficient Enumeration of Markov Equivalent DAGs |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
2 |
| Efficient Exploration in Resource-Restricted Reinforcement Learning |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Efficient Explorative Key-Term Selection Strategies for Conversational Contextual Bandits |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Efficient Extraction of EL-Ontology Deductive Modules |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
❌ |
3 |
| Efficient Gradient Approximation Method for Constrained Bilevel Optimization |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Efficient Image Captioning for Edge Devices |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Efficient Mirror Detection via Multi-Level Heterogeneous Learning |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Efficient Top-K Feature Selection Using Coordinate Descent Method |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Efficient and Accurate Learning of Mixtures of Plackett-Luce Models |
✅ |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
5 |
| Electrophysiological Brain Source Imaging via Combinatorial Search with Provable Optimality |
✅ |
✅ |
❌ |
❌ |
✅ |
❌ |
✅ |
4 |
| Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Eliminating the Impossible, Whatever Remains Must Be True: On Extracting and Applying Background Knowledge in the Context of Formal Explanations |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Emergence of Punishment in Social Dilemma with Environmental Feedback |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Emergent Quantized Communication |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Enabling Knowledge Refinement upon New Concepts in Abductive Learning |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
5 |
| End-to-End Deep Reinforcement Learning for Conversation Disentanglement |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| End-to-End Entity Linking with Hierarchical Reinforcement Learning |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
4 |
| End-to-End Learning for Optimization via Constraint-Enforcing Approximators |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| End-to-End Zero-Shot HOI Detection via Vision and Language Knowledge Distillation |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Energy-Motivated Equivariant Pretraining for 3D Molecular Graphs |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Enhanced Multi-Relationships Integration Graph Convolutional Network for Inferring Substitutable and Complementary Items |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Enhanced Tensor Low-Rank and Sparse Representation Recovery for Incomplete Multi-View Clustering |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Enhancing the Antidote: Improved Pointwise Certifications against Poisoning Attacks |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Entity-Agnostic Representation Learning for Parameter-Efficient Knowledge Graph Embedding |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Entropy Regularization for Population Estimation |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Epistemic Disjunctive Datalog for Querying Knowledge Bases |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Equity Promotion in Public Transportation |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Estimating Average Causal Effects from Patient Trajectories |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
3 |
| Estimating Reflectance Layer from a Single Image: Integrating Reflectance Guidance and Shadow/Specular Aware Learning |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Estimating Regression Predictive Distributions with Sample Networks |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Evaluating Epistemic Logic Programs via Answer Set Programming with Quantifiers |
❌ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
4 |
| Evaluating and Improving Interactions with Hazy Oracles |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Event Process Typing via Hierarchical Optimal Transport |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Evidential Conditional Neural Processes |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Experimental Observations of the Topology of Convolutional Neural Network Activations |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Explaining (Sarcastic) Utterances to Enhance Affect Understanding in Multimodal Dialogues |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Explaining Model Confidence Using Counterfactuals |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Explaining Random Forests Using Bipolar Argumentation and Markov Networks |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Explicit Invariant Feature Induced Cross-Domain Crowd Counting |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Exploit Domain-Robust Optical Flow in Domain Adaptive Video Semantic Segmentation |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Exploiting Multiple Abstractions in Episodic RL via Reward Shaping |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
2 |
| Exploration via Epistemic Value Estimation |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Exploratory Inference Learning for Scribble Supervised Semantic Segmentation |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Exploring CLIP for Assessing the Look and Feel of Images |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Exploring Faithful Rationale for Multi-Hop Fact Verification via Salience-Aware Graph Learning |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Exploring Non-target Knowledge for Improving Ensemble Universal Adversarial Attacks |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Exploring Self-Distillation Based Relational Reasoning Training for Document-Level Relation Extraction |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Exploring Stochastic Autoregressive Image Modeling for Visual Representation |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Exploring Stroke-Level Modifications for Scene Text Editing |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Exploring Temporal Information Dynamics in Spiking Neural Networks |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Exploring Tuning Characteristics of Ventral Stream’s Neurons for Few-Shot Image Classification |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Exploring the Interaction between Local and Global Latent Configurations for Clustering Single-Cell RNA-Seq: A Unified Perspective |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
3 |
| Exposing the Self-Supervised Space-Time Correspondence Learning via Graph Kernels |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Expressive Optimal Temporal Planning via Optimization Modulo Theory |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| Extracting Low-/High- Frequency Knowledge from Graph Neural Networks and Injecting It into MLPs: An Effective GNN-to-MLP Distillation Framework |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
7 |
| Extracting Semantic-Dynamic Features for Long-Term Stable Brain Computer Interface |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| FASTDIAGP: An Algorithm for Parallelized Direct Diagnosis |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| FEditNet: Few-Shot Editing of Latent Semantics in GAN Spaces |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| FLAME: Free-Form Language-Based Motion Synthesis & Editing |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| FSR: A General Frequency-Oriented Framework to Accelerate Image Super-resolution Networks |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| FTM: A Frame-Level Timeline Modeling Method for Temporal Graph Representation Learning |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| FacT: Factor-Tuning for Lightweight Adaptation on Vision Transformer |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Facility Location Games with Entrance Fees |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Factual and Informative Review Generation for Explainable Recommendation |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Fair Division with Prioritized Agents |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Fair Generative Models via Transfer Learning |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Fair Representation Learning for Recommendation: A Mutual Information Perspective |
❌ |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
5 |
| Fair Short Paths in Vertex-Colored Graphs |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Fair-CDA: Continuous and Directional Augmentation for Group Fairness |
✅ |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| FairFed: Enabling Group Fairness in Federated Learning |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Fairness Concepts for Indivisible Items with Externalities |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Fairness and Explainability: Bridging the Gap towards Fair Model Explanations |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
4 |
| Fairness and Welfare Quantification for Regret in Multi-Armed Bandits |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Fairness in Contextual Resource Allocation Systems: Metrics and Incompatibility Results |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| FanoutNet: A Neuralized PCB Fanout Automation Method Using Deep Reinforcement Learning |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Farsighted Probabilistic Sampling: A General Strategy for Boosting Local Search MaxSAT Solvers |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Fast Convergence in Learning Two-Layer Neural Networks with Separable Data |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Fast Converging Anytime Model Counting |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Fast Counterfactual Inference for History-Based Reinforcement Learning |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Fast Fluid Simulation via Dynamic Multi-Scale Gridding |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Fast Offline Policy Optimization for Large Scale Recommendation |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Fast Online Hashing with Multi-Label Projection |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Fast Regularized Discrete Optimal Transport with Group-Sparse Regularizers |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Fast Saturating Gate for Learning Long Time Scales with Recurrent Neural Networks |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Fast and Accurate Binary Neural Networks Based on Depth-Width Reshaping |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Fast and Interpretable Dynamics for Fisher Markets via Block-Coordinate Updates |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| FastAMI – a Monte Carlo Approach to the Adjustment for Chance in Clustering Comparison Metrics |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
❌ |
4 |
| Faster Adaptive Federated Learning |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Faster Fair Machine via Transferring Fairness Constraints to Virtual Samples |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Fault-Tolerant Offline Multi-Agent Path Planning |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Feature Distribution Fitting with Direction-Driven Weighting for Few-Shot Images Classification |
✅ |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| Feature Normalization and Cartography-Based Demonstrations for Prompt-Based Fine-Tuning on Emotion-Related Tasks |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Feature-Level Debiased Natural Language Understanding |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| FedABC: Targeting Fair Competition in Personalized Federated Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| FedALA: Adaptive Local Aggregation for Personalized Federated Learning |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| FedGS: Federated Graph-Based Sampling with Arbitrary Client Availability |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
7 |
| FedMDFG: Federated Learning with Multi-Gradient Descent and Fair Guidance |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| FedNP: Towards Non-IID Federated Learning via Federated Neural Propagation |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
3 |
| Federated Generative Model on Multi-Source Heterogeneous Data in IoT |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Federated Learning on Non-IID Graphs via Structural Knowledge Sharing |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Federated Robustness Propagation: Sharing Adversarial Robustness in Heterogeneous Federated Learning |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| FeedFormer: Revisiting Transformer Decoder for Efficient Semantic Segmentation |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Few-Shot 3D Point Cloud Semantic Segmentation via Stratified Class-Specific Attention Based Transformer Network |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Few-Shot Composition Learning for Image Retrieval with Prompt Tuning |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Few-Shot Defect Image Generation via Defect-Aware Feature Manipulation |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Few-Shot Object Detection via Variational Feature Aggregation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| FiTs: Fine-Grained Two-Stage Training for Knowledge-Aware Question Answering |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Find Beauty in the Rare: Contrastive Composition Feature Clustering for Nontrivial Cropping Box Regression |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Finding Fair Allocations under Budget Constraints |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Finding Good Partial Assignments during Restart-Based Branch and Bound Search |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| Fine-Grained Position Helps Memorizing More, a Novel Music Compound Transformer Model with Feature Interaction Fusion |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Fine-Grained Retrieval Prompt Tuning |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Finite Based Contraction and Expansion via Models |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Fisher Markets with Social Influence |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Fixed-Weight Difference Target Propagation |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Flexible 3D Lane Detection by Hierarchical Shape Matching |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Flexible Budgets in Restless Bandits: A Primal-Dual Algorithm for Efficient Budget Allocation |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Flora: Dual-Frequency LOss-Compensated ReAl-Time Monocular 3D Video Reconstruction |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| Flow to Control: Offline Reinforcement Learning with Lossless Primitive Discovery |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Flow-Based Robust Watermarking with Invertible Noise Layer for Black-Box Distortions |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| FlowFace: Semantic Flow-Guided Shape-Aware Face Swapping |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| FoPro: Few-Shot Guided Robust Webly-Supervised Prototypical Learning |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Forecasting with Sparse but Informative Variables: A Case Study in Predicting Blood Glucose |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| Foresee What You Will Learn: Data Augmentation for Domain Generalization in Non-stationary Environment |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Formal Verification of Bayesian Mechanisms |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Fourier-Net: Fast Image Registration with Band-Limited Deformation |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Frame-Level Label Refinement for Skeleton-Based Weakly-Supervised Action Recognition |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| FreeEnricher: Enriching Face Landmarks without Additional Cost |
❌ |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
5 |
| Frequency Domain Disentanglement for Arbitrary Neural Style Transfer |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Frequency Selective Augmentation for Video Representation Learning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| From Coarse to Fine: Hierarchical Pixel Integration for Lightweight Image Super-resolution |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| From Monopoly to Competition: Optimal Contests Prevail |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| From Understanding the Population Dynamics of the NSGA-II to the First Proven Lower Bounds |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| From Width-Based Model Checking to Width-Based Automated Theorem Proving |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Frustratingly Easy Truth Discovery |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Fully Computer-Assisted Proofs in Extremal Combinatorics |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
✅ |
2 |
| Fully Dynamic Online Selection through Online Contention Resolution Schemes |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Fully Online Matching with Stochastic Arrivals and Departures |
✅ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| Fully-Dynamic Decision Trees |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Function Approximation for Solving Stackelberg Equilibrium in Large Perfect Information Games |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
3 |
| Fundamentals of Task-Agnostic Data Valuation |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| GAM: Gradient Attention Module of Optimization for Point Clouds Analysis |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| GAN Prior Based Null-Space Learning for Consistent Super-resolution |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| GANTEE: Generative Adversarial Network for Taxonomy Enterance Evaluation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| GENNAPE: Towards Generalized Neural Architecture Performance Estimators |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| GLCC: A General Framework for Graph-Level Clustering |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| GLT-T: Global-Local Transformer Voting for 3D Single Object Tracking in Point Clouds |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| GLUECons: A Generic Benchmark for Learning under Constraints |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
4 |
| GMDNet: A Graph-Based Mixture Density Network for Estimating Packages’ Multimodal Travel Time Distribution |
✅ |
✅ |
❌ |
✅ |
❌ |
❌ |
✅ |
4 |
| GOHSP: A Unified Framework of Graph and Optimization-Based Heterogeneous Structured Pruning for Vision Transformer |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| GPTR: Gestalt-Perception Transformer for Diagram Object Detection |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| GRASMOS: Graph Signage Model Selection for Gene Regulatory Networks |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| GRIP: Graph Representation of Immune Repertoire Using Graph Neural Network and Transformer |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| GRLSTM: Trajectory Similarity Computation with Graph-Based Residual LSTM |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Game Implementation: What Are the Obstructions? |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| General Acyclicity and Cyclicity Notions for the Disjunctive Skolem Chase |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Generalization Bounds for Inductive Matrix Completion in Low-Noise Settings |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Generalized Category Discovery with Decoupled Prototypical Network |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Generalized Cell Type Annotation and Discovery for Single-Cell RNA-Seq Data |
❌ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
2 |
| Generalized Confidence Constraints |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Generalized Semantic Segmentation by Self-Supervised Source Domain Projection and Multi-Level Contrastive Learning |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Generalizing Downsampling from Regular Data to Graphs |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Generalizing Math Word Problem Solvers via Solution Diversification |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Generalizing Multiple Object Tracking to Unseen Domains by Introducing Natural Language Representation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Generating Coherent Narratives by Learning Dynamic and Discrete Entity States with a Contrastive Framework |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Generating Transferable 3D Adversarial Point Cloud via Random Perturbation Factorization |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Generative Image Inpainting with Segmentation Confusion Adversarial Training and Contrastive Learning |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Generative Label Enhancement with Gaussian Mixture and Partial Ranking |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Generic and Dynamic Graph Representation Learning for Crowd Flow Modeling |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| GenéLive! Generating Rhythm Actions in Love Live! |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Geometric Inductive Biases for Identifiable Unsupervised Learning of Disentangled Representations |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Geometry-Aware Network for Domain Adaptive Semantic Segmentation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Global Concept-Based Interpretability for Graph Neural Networks via Neuron Analysis |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Global Convergence of Two-Timescale Actor-Critic for Solving Linear Quadratic Regulator |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Global Dilated Attention and Target Focusing Network for Robust Tracking |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Global Mixup: Eliminating Ambiguity with Clustering |
❌ |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
4 |
| Global-Local Characteristic Excited Cross-Modal Attacks from Images to Videos |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Goal-Conditioned Generators of Deep Policies |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Goal-Conditioned Q-learning as Knowledge Distillation |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Good Helper Is around You: Attention-Driven Masked Image Modeling |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| GradPU: Positive-Unlabeled Learning via Gradient Penalty and Positive Upweighting |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Gradient Corner Pooling for Keypoint-Based Object Detection |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
4 |
| Gradient Estimation for Binary Latent Variables via Gradient Variance Clipping |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Gradient-Adaptive Pareto Optimization for Constrained Reinforcement Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Gradient-Based Graph Attention for Scene Text Image Super-resolution |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Gradient-Variation Bound for Online Convex Optimization with Constraints |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Graph Component Contrastive Learning for Concept Relatedness Estimation |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Graph Knows Unknowns: Reformulate Zero-Shot Learning as Sample-Level Graph Recognition |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Graph Ordering Attention Networks |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Graph Structure Learning on User Mobility Data for Social Relationship Inference |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| GraphPrompt: Graph-Based Prompt Templates for Biomedical Synonym Prediction |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| GraphSR: A Data Augmentation Algorithm for Imbalanced Node Classification |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| Graphix-T5: Mixing Pre-trained Transformers with Graph-Aware Layers for Text-to-SQL Parsing |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Graphs, Constraints, and Search for the Abstraction and Reasoning Corpus |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
3 |
| Grouped Knowledge Distillation for Deep Face Recognition |
❌ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
4 |
| Grouping Matrix Based Graph Pooling with Adaptive Number of Clusters |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| GuidedMixup: An Efficient Mixup Strategy Guided by Saliency Maps |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| H-TSP: Hierarchically Solving the Large-Scale Traveling Salesman Problem |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural Networks |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| HAVEN: Hierarchical Cooperative Multi-Agent Reinforcement Learning with Dual Coordination Mechanism |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| HG-SL: Jointly Learning of Global and Local User Spreading Behavior for Fake News Early Detection |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| HRDoc: Dataset and Baseline Method toward Hierarchical Reconstruction of Document Structures |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| HVTSurv: Hierarchical Vision Transformer for Patient-Level Survival Prediction from Whole Slide Image |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Handling Missing Data via Max-Entropy Regularized Graph Autoencoder |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| Hard Sample Aware Network for Contrastive Deep Graph Clustering |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Head-Free Lightweight Semantic Segmentation with Linear Transformer |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Heterogeneous Graph Learning for Multi-Modal Medical Data Analysis |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Heterogeneous Graph Masked Autoencoders |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Heterogeneous Region Embedding with Prompt Learning |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Heterogeneous-Branch Collaborative Learning for Dialogue Generation |
❌ |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
5 |
| Heuristic Search for Multi-Objective Probabilistic Planning |
✅ |
✅ |
❌ |
❌ |
✅ |
✅ |
✅ |
5 |
| Hierarchical ConViT with Attention-Based Relational Reasoner for Visual Analogical Reasoning |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Hierarchical Consistent Contrastive Learning for Skeleton-Based Action Recognition with Growing Augmentations |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Hierarchical Contrast for Unsupervised Skeleton-Based Action Representation Learning |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Hierarchical Contrastive Learning for Temporal Point Processes |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Hierarchical Event Grounding |
❌ |
✅ |
❌ |
✅ |
❌ |
❌ |
✅ |
3 |
| Hierarchical Mean-Field Deep Reinforcement Learning for Large-Scale Multiagent Systems |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Hierarchical Text Classification as Sub-hierarchy Sequence Generation |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| High-Dimensional Dueling Optimization with Preference Embedding |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| High-Level Semantic Feature Matters Few-Shot Unsupervised Domain Adaptation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| High-Resolution GAN Inversion for Degraded Images in Large Diverse Datasets |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| High-Resolution Iterative Feedback Network for Camouflaged Object Detection |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| How to Cut a Discrete Cake Fairly |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Human Assisted Learning by Evolutionary Multi-Objective Optimization |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Human Joint Kinematics Diffusion-Refinement for Stochastic Motion Prediction |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Human-Instructed Deep Hierarchical Generative Learning for Automated Urban Planning |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Human-in-the-Loop Vehicle ReID |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Hybrid CNN-Transformer Feature Fusion for Single Image Deraining |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Hybrid Learning with New Value Function for the Maximum Common Induced Subgraph Problem |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Hybrid Pixel-Unshuffled Network for Lightweight Image Super-resolution |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| HybridCap: Inertia-Aid Monocular Capture of Challenging Human Motions |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| HybridPrompt: Bridging Language Models and Human Priors in Prompt Tuning for Visual Question Answering |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| HyperJump: Accelerating HyperBand via Risk Modelling |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Hypernetworks for Zero-Shot Transfer in Reinforcement Learning |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Hypotheses Tree Building for One-Shot Temporal Sentence Localization |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| IKOL: Inverse Kinematics Optimization Layer for 3D Human Pose and Shape Estimation via Gauss-Newton Differentiation |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| ILSGAN: Independent Layer Synthesis for Unsupervised Foreground-Background Segmentation |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Identification and Estimation of the Probabilities of Potential Outcome Types Using Covariate Information in Studies with Non-compliance |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Identify Event Causality with Knowledge and Analogy |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Identifying Selection Bias from Observational Data |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Identifying and Eliminating Majority Illusion in Social Networks |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node Classification |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| ImageNet Pre-training Also Transfers Non-robustness |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Imbalanced Label Distribution Learning |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Imperceptible Adversarial Attack via Invertible Neural Networks |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Implementing Bounded Revision via Lexicographic Revision and C-revision |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Implicit Stochastic Gradient Descent for Training Physics-Informed Neural Networks |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Improved Algorithm for Regret Ratio Minimization in Multi-Objective Submodular Maximization |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Improved Algorithms for Maximum Satisfiability and Its Special Cases |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Improved Kernel Alignment Regret Bound for Online Kernel Learning |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Improvement-Focused Causal Recourse (ICR) |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Improving Biomedical Entity Linking with Cross-Entity Interaction |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| Improving Crowded Object Detection via Copy-Paste |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Improving Distantly Supervised Relation Extraction by Natural Language Inference |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Improving Dynamic HDR Imaging with Fusion Transformer |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Improving End-to-End Speech Translation by Leveraging Auxiliary Speech and Text Data |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Improving Interpretability via Explicit Word Interaction Graph Layer |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Improving Long-Horizon Imitation through Instruction Prediction |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Improving Pareto Front Learning via Multi-Sample Hypernetworks |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Improving Robotic Tactile Localization Super-resolution via Spatiotemporal Continuity Learning and Overlapping Air Chambers |
❌ |
❌ |
❌ |
✅ |
✅ |
❌ |
✅ |
3 |
| Improving Scene Text Image Super-resolution via Dual Prior Modulation Network |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Improving Simultaneous Machine Translation with Monolingual Data |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Improving Uncertainty Quantification of Deep Classifiers via Neighborhood Conformal Prediction: Novel Algorithm and Theoretical Analysis |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Improving the Cross-Lingual Generalisation in Visual Question Answering |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| InParformer: Evolutionary Decomposition Transformers with Interactive Parallel Attention for Long-Term Time Series Forecasting |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Incentive-Boosted Federated Crowdsourcing |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
3 |
| Incomplete Multi-View Multi-Label Learning via Label-Guided Masked View- and Category-Aware Transformers |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Inconsistent Cores for ASP: The Perks and Perils of Non-monotonicity |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
❌ |
5 |
| Incremental Image De-raining via Associative Memory |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
❌ |
2 |
| Incremental Reinforcement Learning with Dual-Adaptive ε-Greedy Exploration |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Incremental-DETR: Incremental Few-Shot Object Detection via Self-Supervised Learning |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| IndicSUPERB: A Speech Processing Universal Performance Benchmark for Indian Languages |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Inferential Knowledge-Enhanced Integrated Reasoning for Video Question Answering |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Inferring Patient Zero on Temporal Networks via Graph Neural Networks |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| InfoCTM: A Mutual Information Maximization Perspective of Cross-Lingual Topic Modeling |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Information-Theoretic Causal Discovery and Intervention Detection over Multiple Environments |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Infusing Definiteness into Randomness: Rethinking Composition Styles for Deep Image Matting |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Instance Smoothed Contrastive Learning for Unsupervised Sentence Embedding |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| InstanceFormer: An Online Video Instance Segmentation Framework |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Integer Subspace Differential Privacy |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Integrating Reward Maximization and Population Estimation: Sequential Decision-Making for Internal Revenue Service Audit Selection |
✅ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
3 |
| Intensity-Aware Loss for Dynamic Facial Expression Recognition in the Wild |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Inter-image Contrastive Consistency for Multi-Person Pose Estimation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Interactive Concept Bottleneck Models |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
4 |
| Interpolating Graph Pair to Regularize Graph Classification |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Interpreting Unfairness in Graph Neural Networks via Training Node Attribution |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Intersection Coordination with Priority-Based Search for Autonomous Vehicles |
✅ |
✅ |
❌ |
❌ |
✅ |
❌ |
✅ |
4 |
| Interventional SHAP Values and Interaction Values for Piecewise Linear Regression Trees |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Intriguing Findings of Frequency Selection for Image Deblurring |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Invariant Representations with Stochastically Quantized Neural Networks |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Inverse-Reference Priors for Fisher Regularization of Bayesian Neural Networks |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Ising-Traffic: Using Ising Machine Learning to Predict Traffic Congestion under Uncertainty |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Isolation and Impartial Aggregation: A Paradigm of Incremental Learning without Interference |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Isometric Manifold Learning Using Hierarchical Flow |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| IterDE: An Iterative Knowledge Distillation Framework for Knowledge Graph Embeddings |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| I’m Me, We’re Us, and I’m Us: Tri-directional Contrastive Learning on Hypergraphs |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| JR2Net: Joint Monocular 3D Face Reconstruction and Reenactment |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Joint Multimodal Entity-Relation Extraction Based on Edge-Enhanced Graph Alignment Network and Word-Pair Relation Tagging |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Jointly Imputing Multi-View Data with Optimal Transport |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Just Noticeable Visual Redundancy Forecasting: A Deep Multimodal-Driven Approach |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| KICE: A Knowledge Consolidation and Expansion Framework for Relation Extraction |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| KPT: Keyword-Guided Pre-training for Grounded Dialog Generation |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| KT-Net: Knowledge Transfer for Unpaired 3D Shape Completion |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Kalman Bayesian Neural Networks for Closed-Form Online Learning |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| KerPrint: Local-Global Knowledge Graph Enhanced Diagnosis Prediction for Retrospective and Prospective Interpretations |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Key Feature Replacement of In-Distribution Samples for Out-of-Distribution Detection |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Knowledge Amalgamation for Multi-Label Classification via Label Dependency Transfer |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Knowledge Graph Embedding by Normalizing Flows |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Knowledge-Bridged Causal Interaction Network for Causal Emotion Entailment |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Knowledge-Constrained Answer Generation for Open-Ended Video Question Answering |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| LADA-Trans-NER: Adaptive Efficient Transformer for Chinese Named Entity Recognition Using Lexicon-Attention and Data-Augmentation |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| LANCER: A Lifetime-Aware News Recommender System |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| LIMIP: Lifelong Learning to Solve Mixed Integer Programs |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
✅ |
6 |
| LIQUID: A Framework for List Question Answering Dataset Generation |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| LORE: Logical Location Regression Network for Table Structure Recognition |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| LWSIS: LiDAR-Guided Weakly Supervised Instance Segmentation for Autonomous Driving |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| LaCAM: Search-Based Algorithm for Quick Multi-Agent Pathfinding |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Label-Specific Feature Augmentation for Long-Tailed Multi-Label Text Classification |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| LagNet: Deep Lagrangian Mechanics for Plug-and-Play Molecular Representation Learning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Language Model Pre-training on True Negatives |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Language-Assisted 3D Feature Learning for Semantic Scene Understanding |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Large-State Reinforcement Learning for Hyper-Heuristics |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
7 |
| Latent Autoregressive Source Separation |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Latent Constraints on Unsupervised Text-Graph Alignment with Information Asymmetry |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Layer-Wise Adaptive Model Aggregation for Scalable Federated Learning |
✅ |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| Layout Generation as Intermediate Action Sequence Prediction |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Layout Representation Learning with Spatial and Structural Hierarchies |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Layout-Aware Dreamer for Embodied Visual Referring Expression Grounding |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| LeNo: Adversarial Robust Salient Object Detection Networks with Learnable Noise |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Learn More for Food Recognition via Progressive Self-Distillation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Learn from Yesterday: A Semi-supervised Continual Learning Method for Supervision-Limited Text-to-SQL Task Streams |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Learnable Blur Kernel for Single-Image Defocus Deblurring in the Wild |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Learnable Path in Neural Controlled Differential Equations |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Learnable Spectral Wavelets on Dynamic Graphs to Capture Global Interactions |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Learned Distributed Image Compression with Multi-Scale Patch Matching in Feature Domain |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Learning Adversarially Robust Sparse Networks via Weight Reparameterization |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Learning Chemical Rules of Retrosynthesis with Pre-training |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Learning Compact Features via In-Training Representation Alignment |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Learning Compositional Tasks from Language Instructions |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Learning Conflict-Noticed Architecture for Multi-Task Learning |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Learning Context-Aware Classifier for Semantic Segmentation |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Learning Continuous Depth Representation via Geometric Spatial Aggregator |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Learning Control Policies for Stochastic Systems with Reach-Avoid Guarantees |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Learning Deep Hierarchical Features with Spatial Regularization for One-Class Facial Expression Recognition |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Learning Dynamic Latent Spaces for Lifelong Generative Modelling |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Learning Event-Relevant Factors for Video Anomaly Detection |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Learning Explicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning via Polarization Policy Gradient |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Learning Fractals by Gradient Descent |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Learning Instrumental Variable from Data Fusion for Treatment Effect Estimation |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Learning Interpretable Temporal Properties from Positive Examples Only |
✅ |
✅ |
❌ |
❌ |
✅ |
❌ |
✅ |
4 |
| Learning Logic Programs by Discovering Where Not to Search |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
✅ |
5 |
| Learning Markov Random Fields for Combinatorial Structures via Sampling through Lovász Local Lemma |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
3 |
| Learning Motion-Robust Remote Photoplethysmography through Arbitrary Resolution Videos |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Learning Noise-Induced Reward Functions for Surpassing Demonstrations in Imitation Learning |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Learning Optimal Features via Partial Invariance |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Learning Pessimism for Reinforcement Learning |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Learning Polysemantic Spoof Trace: A Multi-Modal Disentanglement Network for Face Anti-spoofing |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Learning Program Synthesis for Integer Sequences from Scratch |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Learning Progressive Modality-Shared Transformers for Effective Visible-Infrared Person Re-identification |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Learning Rational Subgoals from Demonstrations and Instructions |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Learning Relational Causal Models with Cycles through Relational Acyclification |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Learning Representations of Bi-level Knowledge Graphs for Reasoning beyond Link Prediction |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Learning Revenue Maximization Using Posted Prices for Stochastic Strategic Patient Buyers |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Learning Safe Numeric Action Models |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| Learning Second-Order Attentive Context for Efficient Correspondence Pruning |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Learning Semantic Alignment with Global Modality Reconstruction for Video-Language Pre-training towards Retrieval |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| Learning Semantic Degradation-Aware Guidance for Recognition-Driven Unsupervised Low-Light Image Enhancement |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Learning Similarity Metrics for Volumetric Simulations with Multiscale CNNs |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Learning Single Image Defocus Deblurring with Misaligned Training Pairs |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Learning Temporal-Ordered Representation for Spike Streams Based on Discrete Wavelet Transforms |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Learning Topology-Specific Experts for Molecular Property Prediction |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Learning a Generalized Gaze Estimator from Gaze-Consistent Feature |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Learning by Applying: A General Framework for Mathematical Reasoning via Enhancing Explicit Knowledge Learning |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Learning from Good Trajectories in Offline Multi-Agent Reinforcement Learning |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Learning from Training Dynamics: Identifying Mislabeled Data beyond Manually Designed Features |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Learning from the Wisdom of Crowds: Exploiting Similar Sessions for Session Search |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Learning the Finer Things: Bayesian Structure Learning at the Instantiation Level |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
4 |
| Learning to Break Symmetries for Efficient Optimization in Answer Set Programming |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| Learning to Count Isomorphisms with Graph Neural Networks |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Learning to Defer with Limited Expert Predictions |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Learning to Generate an Unbiased Scene Graph by Using Attribute-Guided Predicate Features |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Learning to Imagine: Distillation-Based Interactive Context Exploitation for Dialogue State Tracking |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Learning to Know Myself: A Coarse-to-Fine Persona-Aware Training Framework for Personalized Dialogue Generation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Learning to Learn Better for Video Object Segmentation |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Learning to Memorize Entailment and Discourse Relations for Persona-Consistent Dialogues |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Learning to Play General-Sum Games against Multiple Boundedly Rational Agents |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
3 |
| Learning to Select Pivotal Samples for Meta Re-weighting |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Learning to Select Prototypical Parts for Interpretable Sequential Data Modeling |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Learning to Select from Multiple Options |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Learning to Shape Rewards Using a Game of Two Partners |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Learning to Super-resolve Dynamic Scenes for Neuromorphic Spike Camera |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Learning towards Selective Data Augmentation for Dialogue Generation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Learning with Partial Labels from Semi-supervised Perspective |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Learning-Assisted Algorithm Unrolling for Online Optimization with Budget Constraints |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Learning-Augmented Algorithms for Online TSP on the Line |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Less Is More Important: An Attention Module Guided by Probability Density Function for Convolutional Neural Networks |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Let Graph Be the Go Board: Gradient-Free Node Injection Attack for Graph Neural Networks via Reinforcement Learning |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Let the Data Choose: Flexible and Diverse Anchor Graph Fusion for Scalable Multi-View Clustering |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| Leveraging Contaminated Datasets to Learn Clean-Data Distribution with Purified Generative Adversarial Networks |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Leveraging Modality-Specific Representations for Audio-Visual Speech Recognition via Reinforcement Learning |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Leveraging Structure for Improved Classification of Grouped Biased Data |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Leveraging Sub-class Discimination for Compositional Zero-Shot Learning |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Leveraging Weighted Cross-Graph Attention for Visual and Semantic Enhanced Video Captioning Network |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| LidarMultiNet: Towards a Unified Multi-Task Network for LiDAR Perception |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Lifelong Compression Mixture Model via Knowledge Relationship Graph |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Lifelong Embedding Learning and Transfer for Growing Knowledge Graphs |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Lifelong Person Re-identification via Knowledge Refreshing and Consolidation |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Lifelong Variational Autoencoder via Online Adversarial Expansion Strategy |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Lifted Inference with Linear Order Axiom |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Lifting (D)QBF Preprocessing and Solving Techniques to (D)SSAT |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Linear Regularizers Enforce the Strict Saddle Property |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Linking People across Text and Images Based on Social Relation Reasoning |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Linking Sketch Patches by Learning Synonymous Proximity for Graphic Sketch Representation |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| LoNe Sampler: Graph Node Embeddings by Coordinated Local Neighborhood Sampling |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Loan Fraud Users Detection in Online Lending Leveraging Multiple Data Views |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Local Explanations for Reinforcement Learning |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Local Intrinsic Dimensional Entropy |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Local Justice and Machine Learning: Modeling and Inferring Dynamic Ethical Preferences toward Allocations |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Local Path Integration for Attribution |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Local-Global Defense against Unsupervised Adversarial Attacks on Graphs |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Locate Then Generate: Bridging Vision and Language with Bounding Box for Scene-Text VQA |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| Logic and Commonsense-Guided Temporal Knowledge Graph Completion |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Logical Satisfiability of Counterfactuals for Faithful Explanations in NLI |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Long-Tail Cross Modal Hashing |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
✅ |
4 |
| Losses over Labels: Weakly Supervised Learning via Direct Loss Construction |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Lottery Pools: Winning More by Interpolating Tickets without Increasing Training or Inference Cost |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Low Resource Quantitative Information Extraction via Structure Searching and Prefix-Based Text Generation |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Low-Light Image Enhancement Network Based on Multi-Scale Feature Complementation |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Low-Light Video Enhancement with Synthetic Event Guidance |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| Low-Resource Personal Attribute Prediction from Conversations |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| M-sense: Modeling Narrative Structure in Short Personal Narratives Using Protagonist’s Mental Representations |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| M3AE: Multimodal Representation Learning for Brain Tumor Segmentation with Missing Modalities |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
7 |
| MA-GCL: Model Augmentation Tricks for Graph Contrastive Learning |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| MAGIC: Mask-Guided Image Synthesis by Inverting a Quasi-robust Classifier |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| MAPS-KB: A Million-Scale Probabilistic Simile Knowledge Base |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
4 |
| MCL: Multi-Granularity Contrastive Learning Framework for Chinese NER |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| MDM: Molecular Diffusion Model for 3D Molecule Generation |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
3 |
| MEID: Mixture-of-Experts with Internal Distillation for Long-Tailed Video Recognition |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| MGFN: Magnitude-Contrastive Glance-and-Focus Network for Weakly-Supervised Video Anomaly Detection |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| MGTANet: Encoding Sequential LiDAR Points Using Long Short-Term Motion-Guided Temporal Attention for 3D Object Detection |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| MGTCF: Multi-Generator Tropical Cyclone Forecasting with Heterogeneous Meteorological Data |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| MHCCL: Masked Hierarchical Cluster-Wise Contrastive Learning for Multivariate Time Series |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| MIDMs: Matching Interleaved Diffusion Models for Exemplar-Based Image Translation |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| MIGA: A Unified Multi-Task Generation Framework for Conversational Text-to-SQL |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| MIMO Is All You Need：A Strong Multi-in-Multi-Out Baseline for Video Prediction |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| MMTN: Multi-Modal Memory Transformer Network for Image-Report Consistent Medical Report Generation |
❌ |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
5 |
| MNER-QG: An End-to-End MRC Framework for Multimodal Named Entity Recognition with Query Grounding |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| MPMQA: Multimodal Question Answering on Product Manuals |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| MRCN: A Novel Modality Restitution and Compensation Network for Visible-Infrared Person Re-identification |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| MSDC: Exploiting Multi-State Power Consumption in Non-intrusive Load Monitoring Based on a Dual-CNN Model |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| MVCINN: Multi-View Diabetic Retinopathy Detection Using a Deep Cross-Interaction Neural Network |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Machines of Finite Depth: Towards a Formalization of Neural Networks |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
2 |
| Markov Decision Processes with Time-Varying Geometric Discounting |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| MaskBooster: End-to-End Self-Training for Sparsely Supervised Instance Segmentation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Materialisation-Based Reasoning in DatalogMTL with Bounded Intervals |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Maximizing the Probability of Fixation in the Positional Voter Model |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Maximum Entropy Population-Based Training for Zero-Shot Human-AI Coordination |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Mean Estimation of Truncated Mixtures of Two Gaussians: A Gradient Based Approach |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Mean-Shifted Contrastive Loss for Anomaly Detection |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Mediated Cheap Talk Design |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Memorization Weights for Instance Reweighting in Adversarial Training |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Memory-Aided Contrastive Consensus Learning for Co-salient Object Detection |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Memory-Augmented Theory of Mind Network |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Memory-Oriented Structural Pruning for Efficient Image Restoration |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Meta-Auxiliary Learning for Adaptive Human Pose Prediction |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Meta-Learning for Simple Regret Minimization |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Meta-Reinforcement Learning Based on Self-Supervised Task Representation Learning |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
4 |
| Meta-Sketch: A Neural Data Structure for Estimating Item Frequencies of Data Streams |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| MetaTPTrans: A Meta Learning Approach for Multilingual Code Representation Learning |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| MetaZSCIL: A Meta-Learning Approach for Generalized Zero-Shot Class Incremental Learning |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Metric Multi-View Graph Clustering |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Metric Nearness Made Practical |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Metric Residual Network for Sample Efficient Goal-Conditioned Reinforcement Learning |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| MicroAST: Towards Super-fast Ultra-Resolution Arbitrary Style Transfer |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Min-Max Submodular Ranking for Multiple Agents |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Mind the Gap: Polishing Pseudo Labels for Accurate Semi-supervised Object Detection |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Minimax AUC Fairness: Efficient Algorithm with Provable Convergence |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Mining and Applying Composition Knowledge of Dance Moves for Style-Concentrated Dance Generation |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Minority-Oriented Vicinity Expansion with Attentive Aggregation for Video Long-Tailed Recognition |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Mitigating Adversarial Norm Training with Moral Axioms |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Mitigating Artifacts in Real-World Video Super-resolution Models |
❌ |
✅ |
✅ |
❌ |
✅ |
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4 |
| Mitigating Negative Style Transfer in Hybrid Dialogue System |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
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5 |
| Mixed-Variable Black-Box Optimisation Using Value Proposal Trees |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
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4 |
| Mixture Manifold Networks: A Computationally Efficient Baseline for Inverse Modeling |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
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4 |
| Mixture Uniform Distribution Modeling and Asymmetric Mix Distillation for Class Incremental Learning |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
4 |
| MoEC: Mixture of Expert Clusters |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
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4 |
| MobileTL: On-Device Transfer Learning with Inverted Residual Blocks |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
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3 |
| Model-Based Offline Reinforcement Learning with Local Misspecification |
✅ |
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✅ |
❌ |
❌ |
❌ |
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3 |
| Model-Based Reinforcement Learning with Multinomial Logistic Function Approximation |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Model-Checking for Ability-Based Logics with Constrained Plans |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Modeling Human Trust and Reliance in AI-Assisted Decision Making: A Markovian Approach |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Models as Agents: Optimizing Multi-Step Predictions of Interactive Local Models in Model-Based Multi-Agent Reinforcement Learning |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
3 |
| Molformer: Motif-Based Transformer on 3D Heterogeneous Molecular Graphs |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
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4 |
| Monitoring Arithmetic Temporal Properties on Finite Traces |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
2 |
| Moral Machine or Tyranny of the Majority? |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Moving-Landmark Assisted Distributed Learning Based Decentralized Cooperative Localization (DL-DCL) with Fault Tolerance |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
3 |
| MulGT: Multi-Task Graph-Transformer with Task-Aware Knowledge Injection and Domain Knowledge-Driven Pooling for Whole Slide Image Analysis |
❌ |
❌ |
✅ |
✅ |
✅ |
✅ |
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5 |
| Multi-Action Dialog Policy Learning from Logged User Feedback |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Multi-Aspect Explainable Inductive Relation Prediction by Sentence Transformer |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
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4 |
| Multi-Classifier Adversarial Optimization for Active Learning |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
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4 |
| Multi-Domain Generalized Graph Meta Learning |
✅ |
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✅ |
✅ |
✅ |
❌ |
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5 |
| Multi-Label Few-Shot ICD Coding as Autoregressive Generation with Prompt |
❌ |
✅ |
✅ |
✅ |
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❌ |
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5 |
| Multi-Level Compositional Reasoning for Interactive Instruction Following |
❌ |
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✅ |
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❌ |
❌ |
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3 |
| Multi-Level Confidence Learning for Trustworthy Multimodal Classification |
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❌ |
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3 |
| Multi-Level Wavelet Mapping Correlation for Statistical Dependence Measurement: Methodology and Performance |
✅ |
✅ |
✅ |
❌ |
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5 |
| Multi-Mask Label Mapping for Prompt-Based Learning |
❌ |
❌ |
✅ |
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❌ |
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2 |
| Multi-Modal Knowledge Hypergraph for Diverse Image Retrieval |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
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2 |
| Multi-Modality Deep Network for Extreme Learned Image Compression |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
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3 |
| Multi-Relational Contrastive Learning Graph Neural Network for Drug-Drug Interaction Event Prediction |
❌ |
✅ |
✅ |
✅ |
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❌ |
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5 |
| Multi-Resolution Monocular Depth Map Fusion by Self-Supervised Gradient-Based Composition |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Multi-Scale Control Signal-Aware Transformer for Motion Synthesis without Phase |
❌ |
❌ |
✅ |
❌ |
✅ |
✅ |
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4 |
| Multi-Source Survival Domain Adaptation |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
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4 |
| Multi-Stage Facility Location Problems with Transient Agents |
✅ |
❌ |
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❌ |
❌ |
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1 |
| Multi-Stream Representation Learning for Pedestrian Trajectory Prediction |
❌ |
✅ |
✅ |
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❌ |
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3 |
| Multi-Unit Auctions for Allocating Chance-Constrained Resources |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
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3 |
| Multi-View Domain Adaptive Object Detection on Camera Networks |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
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4 |
| Multi-View MOOC Quality Evaluation via Information-Aware Graph Representation Learning |
❌ |
❌ |
❌ |
❌ |
✅ |
✅ |
✅ |
3 |
| MultiAct: Long-Term 3D Human Motion Generation from Multiple Action Labels |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| MultiSpider: Towards Benchmarking Multilingual Text-to-SQL Semantic Parsing |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Multiagent MST Cover: Pleasing All Optimally via a Simple Voting Rule |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Multiple Robust Learning for Recommendation |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Multiplex Graph Representation Learning via Common and Private Information Mining |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
❌ |
2 |
| Multispectral Invisible Coating: Laminated Visible-Thermal Physical Attack against Multispectral Object Detectors Using Transparent Low-E Films |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Multiwinner Voting with Possibly Unavailable Candidates |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Mutual-Enhanced Incongruity Learning Network for Multi-Modal Sarcasm Detection |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Mx2M: Masked Cross-Modality Modeling in Domain Adaptation for 3D Semantic Segmentation |
❌ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
4 |
| NAS-LID: Efficient Neural Architecture Search with Local Intrinsic Dimension |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| NHITS: Neural Hierarchical Interpolation for Time Series Forecasting |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| NLIP: Noise-Robust Language-Image Pre-training |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
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4 |
| NQE: N-ary Query Embedding for Complex Query Answering over Hyper-Relational Knowledge Graphs |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| NeAF: Learning Neural Angle Fields for Point Normal Estimation |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
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5 |
| Nearest-Neighbor Sampling Based Conditional Independence Testing |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
3 |
| Neighbor Contrastive Learning on Learnable Graph Augmentation |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
6 |
| Neighborhood-Regularized Self-Training for Learning with Few Labels |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Nested Named Entity Recognition as Building Local Hypergraphs |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Networked Anti-coordination Games Meet Graphical Dynamical Systems: Equilibria and Convergence |
❌ |
✅ |
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❌ |
✅ |
❌ |
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4 |
| Networked Restless Bandits with Positive Externalities |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
3 |
| Neural Architecture Search for Wide Spectrum Adversarial Robustness |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
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5 |
| Neural Diffeomorphic Non-uniform B-spline Flows |
✅ |
✅ |
❌ |
❌ |
✅ |
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4 |
| Neural Dynamic Focused Topic Model |
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❌ |
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3 |
| Neural Integro-Differential Equations |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Neural Representations Reveal Distinct Modes of Class Fitting in Residual Convolutional Networks |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
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3 |
| Neural Spline Search for Quantile Probabilistic Modeling |
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✅ |
❌ |
❌ |
❌ |
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3 |
| Neural TSP Solver with Progressive Distillation |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Neurosymbolic Reasoning and Learning with Restricted Boltzmann Machines |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| Next POI Recommendation with Dynamic Graph and Explicit Dependency |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Non-IID Transfer Learning on Graphs |
❌ |
✅ |
✅ |
❌ |
❌ |
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✅ |
3 |
| Non-reversible Parallel Tempering for Deep Posterior Approximation |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Non-stationary Risk-Sensitive Reinforcement Learning: Near-Optimal Dynamic Regret, Adaptive Detection, and Separation Design |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Normalizing Flow Ensembles for Rich Aleatoric and Epistemic Uncertainty Modeling |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Not All Neighbors Matter: Point Distribution-Aware Pruning for 3D Point Cloud |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
7 |
| Novel Motion Patterns Matter for Practical Skeleton-Based Action Recognition |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| Novel Ordering-Based Approaches for Causal Structure Learning in the Presence of Unobserved Variables |
✅ |
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4 |
| Now We’re Talking: Better Deliberation Groups through Submodular Optimization |
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4 |
| NuWLS: Improving Local Search for (Weighted) Partial MaxSAT by New Weighting Techniques |
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6 |
| ODE-RSSM: Learning Stochastic Recurrent State Space Model from Irregularly Sampled Data |
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4 |
| OMPQ: Orthogonal Mixed Precision Quantization |
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4 |
| OPT-GAN: A Broad-Spectrum Global Optimizer for Black-Box Problems by Learning Distribution |
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4 |
| Occupancy Planes for Single-View RGB-D Human Reconstruction |
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4 |
| OctFormer: Efficient Octree-Based Transformer for Point Cloud Compression with Local Enhancement |
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4 |
| Off-Policy Proximal Policy Optimization |
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4 |
| Offline Imitation Learning with Suboptimal Demonstrations via Relaxed Distribution Matching |
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2 |
| Offline Quantum Reinforcement Learning in a Conservative Manner |
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3 |
| On Error and Compression Rates for Prototype Rules |
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4 |
| On Generalized Degree Fairness in Graph Neural Networks |
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2 |
| On Grounded Planning for Embodied Tasks with Language Models |
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2 |
| On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function Approximation |
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1 |
| On Manipulating Weight Predictions in Signed Weighted Networks |
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3 |
| On Solution Functions of Optimization: Universal Approximation and Covering Number Bounds |
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0 |
| On Total-Order HTN Plan Verification with Method Preconditions – An Extension of the CYK Parsing Algorithm |
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3 |
| On Undisputed Sets in Abstract Argumentation |
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0 |
| On the Calibration and Uncertainty with Pólya-Gamma Augmentation for Dialog Retrieval Models |
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❌ |
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6 |
| On the Complexity of PAC Learning in Hilbert Spaces |
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1 |
| On the Connection between Invariant Learning and Adversarial Training for Out-of-Distribution Generalization |
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4 |
| On the Effectiveness of Parameter-Efficient Fine-Tuning |
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5 |
| On the Expressive Flexibility of Self-Attention Matrices |
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2 |
| On the Sample Complexity of Representation Learning in Multi-Task Bandits with Global and Local Structure |
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3 |
| On the Sample Complexity of Vanilla Model-Based Offline Reinforcement Learning with Dependent Samples |
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0 |
| On the Stability and Generalization of Triplet Learning |
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❌ |
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0 |
| On the Vulnerability of Backdoor Defenses for Federated Learning |
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3 |
| One Is All: Bridging the Gap between Neural Radiance Fields Architectures with Progressive Volume Distillation |
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4 |
| One-Shot Replay: Boosting Incremental Object Detection via Retrospecting One Object |
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4 |
| One-for-All: Proposal Masked Cross-Class Anomaly Detection |
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4 |
| Online Hyperparameter Optimization for Class-Incremental Learning |
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4 |
| Online Noisy Continual Relation Learning |
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3 |
| Online Platforms and the Fair Exposure Problem under Homophily |
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2 |
| Online Random Feature Forests for Learning in Varying Feature Spaces |
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2 |
| Online Reinforcement Learning with Uncertain Episode Lengths |
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3 |
| Online Semi-supervised Learning with Mix-Typed Streaming Features |
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4 |
| Online Symbolic Regression with Informative Query |
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4 |
| Online Tuning for Offline Decentralized Multi-Agent Reinforcement Learning |
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4 |
| Only a Few Classes Confusing: Pixel-Wise Candidate Labels Disambiguation for Foggy Scene Understanding |
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3 |
| Open-Ended Diverse Solution Discovery with Regulated Behavior Patterns for Cross-Domain Adaptation |
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1 |
| Open-Vocabulary Multi-Label Classification via Multi-Modal Knowledge Transfer |
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2 |
| Opinion Optimization in Directed Social Networks |
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4 |
| Opposite Online Learning via Sequentially Integrated Stochastic Gradient Descent Estimators |
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2 |
| Optimal Decision Diagrams for Classification |
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5 |
| Optimal Pathfinding on Weighted Grid Maps |
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5 |
| Optimal Pricing Schemes for Identical Items with Time-Sensitive Buyers |
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0 |
| Optimal Sparse Recovery with Decision Stumps |
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1 |
| Optimal Sparse Regression Trees |
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5 |
| Optimism in Face of a Context:Regret Guarantees for Stochastic Contextual MDP |
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1 |
| Optimistic Whittle Index Policy: Online Learning for Restless Bandits |
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4 |
| Optimizing Multiple Simultaneous Objectives for Voting and Facility Location |
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0 |
| Orders Are Unwanted: Dynamic Deep Graph Convolutional Network for Personality Detection |
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4 |
| Out-of-Distribution Generalization by Neural-Symbolic Joint Training |
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3 |
| Overcoming Concept Shift in Domain-Aware Settings through Consolidated Internal Distributions |
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4 |
| Overcoming Forgetting in Fine-Grained Urban Flow Inference via Adaptive Knowledge Replay |
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5 |
| PAC Learning and Stabilizing Hedonic Games: Towards a Unifying Approach. |
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1 |
| PASS: Patch Automatic Skip Scheme for Efficient Real-Time Video Perception on Edge Devices |
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3 |
| PATRON: Perspective-Aware Multitask Model for Referring Expression Grounding Using Embodied Multimodal Cues |
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4 |
| PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction |
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6 |
| PDRF: Progressively Deblurring Radiance Field for Fast Scene Reconstruction from Blurry Images |
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2 |
| PEN: Prediction-Explanation Network to Forecast Stock Price Movement with Better Explainability |
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2 |
| PGSS: Pitch-Guided Speech Separation |
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3 |
| PINAT: A Permutation INvariance Augmented Transformer for NAS Predictor |
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4 |
| PIXEL: Physics-Informed Cell Representations for Fast and Accurate PDE Solvers |
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2 |
| POEM: Polarization of Embeddings for Domain-Invariant Representations |
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5 |
| PPGenCDR: A Stable and Robust Framework for Privacy-Preserving Cross-Domain Recommendation |
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2 |
| PUPS: Point Cloud Unified Panoptic Segmentation |
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3 |
| PUnifiedNER: A Prompting-Based Unified NER System for Diverse Datasets |
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4 |
| PaRot: Patch-Wise Rotation-Invariant Network via Feature Disentanglement and Pose Restoration |
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2 |
| PaTeCon: A Pattern-Based Temporal Constraint Mining Method for Conflict Detection on Knowledge Graphs |
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5 |
| Painterly Image Harmonization in Dual Domains |
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3 |
| Panoramic Video Salient Object Detection with Ambisonic Audio Guidance |
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2 |
| ParaFormer: Parallel Attention Transformer for Efficient Feature Matching |
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4 |
| Parameter-Efficient Model Adaptation for Vision Transformers |
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5 |
| Parameterized Algorithms for Colored Clustering |
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0 |
| Parametric Surface Constrained Upsampler Network for Point Cloud |
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4 |
| Partial-Label Regression |
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3 |
| Participatory Budgeting Designs for the Real World |
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3 |
| Partitioning Friends Fairly |
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1 |
| PeCo: Perceptual Codebook for BERT Pre-training of Vision Transformers |
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2 |
| Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training |
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6 |
| Periodic Multi-Agent Path Planning |
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1 |
| Personalized Dialogue Generation with Persona-Adaptive Attention |
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5 |
| Persuasion Strategies in Advertisements |
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3 |
| Phrase-Level Temporal Relationship Mining for Temporal Sentence Localization |
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4 |
| PiCor: Multi-Task Deep Reinforcement Learning with Policy Correction |
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3 |
| Pixel Is All You Need: Adversarial Trajectory-Ensemble Active Learning for Salient Object Detection |
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4 |
| Pixel-Wise Warping for Deep Image Stitching |
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2 |
| Planning and Learning with Adaptive Lookahead |
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3 |
| Planning for Learning Object Properties |
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5 |
| Planning with Hidden Parameter Polynomial MDPs |
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4 |
| Point-Teaching: Weakly Semi-supervised Object Detection with Point Annotations |
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5 |
| PointCA: Evaluating the Robustness of 3D Point Cloud Completion Models against Adversarial Examples |
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3 |
| Pointerformer: Deep Reinforced Multi-Pointer Transformer for the Traveling Salesman Problem |
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4 |
| Poisoning with Cerberus: Stealthy and Colluded Backdoor Attack against Federated Learning |
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5 |
| PolarFormer: Multi-Camera 3D Object Detection with Polar Transformer |
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4 |
| Polarization-Aware Low-Light Image Enhancement |
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❌ |
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2 |
| Policy-Adaptive Estimator Selection for Off-Policy Evaluation |
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✅ |
❌ |
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4 |
| Policy-Based Primal-Dual Methods for Convex Constrained Markov Decision Processes |
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3 |
| Policy-Independent Behavioral Metric-Based Representation for Deep Reinforcement Learning |
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✅ |
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❌ |
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1 |
| Popularizing Fairness: Group Fairness and Individual Welfare |
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2 |
| Pose-Guided 3D Human Generation in Indoor Scene |
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5 |
| Pose-Oriented Transformer with Uncertainty-Guided Refinement for 2D-to-3D Human Pose Estimation |
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❌ |
✅ |
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2 |
| Positional Label for Self-Supervised Vision Transformer |
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4 |
| Positive Distribution Pollution: Rethinking Positive Unlabeled Learning from a Unified Perspective |
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4 |
| Post-hoc Uncertainty Learning Using a Dirichlet Meta-Model |
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2 |
| Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning |
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❌ |
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2 |
| Practical Cross-System Shilling Attacks with Limited Access to Data |
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3 |
| Practical Markov Boundary Learning without Strong Assumptions |
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2 |
| Practical Parallel Algorithms for Submodular Maximization Subject to a Knapsack Constraint with Nearly Optimal Adaptivity |
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4 |
| Predicate Invention for Bilevel Planning |
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2 |
| Predict+Optimize for Packing and Covering LPs with Unknown Parameters in Constraints |
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5 |
| Predicting Temporal Sets with Simplified Fully Connected Networks |
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5 |
| Predictive Exit: Prediction of Fine-Grained Early Exits for Computation- and Energy-Efficient Inference |
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4 |
| Predictive Multiplicity in Probabilistic Classification |
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4 |
| Preference-Controlled Multi-Objective Reinforcement Learning for Conditional Text Generation |
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4 |
| Preserve Context Information for Extract-Generate Long-Input Summarization Framework |
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3 |
| Preserving Structural Consistency in Arbitrary Artist and Artwork Style Transfer |
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✅ |
❌ |
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1 |
| PrimeNet: Pre-training for Irregular Multivariate Time Series |
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4 |
| Principled Data-Driven Decision Support for Cyber-Forensic Investigations |
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❌ |
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6 |
| Principled and Efficient Motif Finding for Structure Learning of Lifted Graphical Models |
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5 |
| Priori Anchor Labels Supervised Scalable Multi-View Bipartite Graph Clustering |
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3 |
| Privacy Attacks on Schedule-Driven Data |
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1 |
| ProKD: An Unsupervised Prototypical Knowledge Distillation Network for Zero-Resource Cross-Lingual Named Entity Recognition |
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✅ |
4 |
| Probabilistic Generalization of Backdoor Trees with Application to SAT |
❌ |
✅ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| Probabilities of Potential Outcome Types in Experimental Studies: Identification and Estimation Based on Proxy Covariate Information |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Probability Guided Loss for Long-Tailed Multi-Label Image Classification |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
✅ |
3 |
| Probably Approximate Shapley Fairness with Applications in Machine Learning |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Progress and Limitations of Deep Networks to Recognize Objects in Unusual Poses |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Progressive Bayesian Inference for Scribble-Supervised Semantic Segmentation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Progressive Deep Multi-View Comprehensive Representation Learning |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Progressive Few-Shot Adaptation of Generative Model with Align-Free Spatial Correlation |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Progressive Multi-View Human Mesh Recovery with Self-Supervision |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Progressive Neighborhood Aggregation for Semantic Segmentation Refinement |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Prompt-Augmented Linear Probing: Scaling beyond the Limit of Few-Shot In-Context Learners |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
❌ |
2 |
| Prompting Neural Machine Translation with Translation Memories |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| Properties of Position Matrices and Their Elections |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Proportional Decisions in Perpetual Voting |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Proportionality in Approval-Based Participatory Budgeting |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Prototypical Fine-Tuning: Towards Robust Performance under Varying Data Sizes |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Prototypical Partial Optimal Transport for Universal Domain Adaptation |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Provable Detection of Propagating Sampling Bias in Prediction Models |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Provable Pathways: Learning Multiple Tasks over Multiple Paths |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Provably Efficient Causal Model-Based Reinforcement Learning for Systematic Generalization |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Provably Efficient Primal-Dual Reinforcement Learning for CMDPs with Non-stationary Objectives and Constraints |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Proximal Stochastic Recursive Momentum Methods for Nonconvex Composite Decentralized Optimization |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| ProxyBO: Accelerating Neural Architecture Search via Bayesian Optimization with Zero-Cost Proxies |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Pseudo Label-Guided Model Inversion Attack via Conditional Generative Adversarial Network |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Purifier: Defending Data Inference Attacks via Transforming Confidence Scores |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
3 |
| Q-functionals for Value-Based Continuous Control |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Quality-Aware Self-Training on Differentiable Synthesis of Rare Relational Data |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Quantized Feature Distillation for Network Quantization |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Quantum Multi-Agent Meta Reinforcement Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Quantum Multi-Armed Bandits and Stochastic Linear Bandits Enjoy Logarithmic Regrets |
✅ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| Quantum-Inspired Representation for Long-Tail Senses of Word Sense Disambiguation |
❌ |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
5 |
| Query Your Model with Definitions in FrameNet: An Effective Method for Frame Semantic Role Labeling |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Query-Aware Quantization for Maximum Inner Product Search |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Question Decomposition Tree for Answering Complex Questions over Knowledge Bases |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| RADIANT: Radar-Image Association Network for 3D Object Detection |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| RAFaRe: Learning Robust and Accurate Non-parametric 3D Face Reconstruction from Pseudo 2D&3D Pairs |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| READ: Large-Scale Neural Scene Rendering for Autonomous Driving |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| REMIT: Reinforced Multi-Interest Transfer for Cross-Domain Recommendation |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| RESDSQL: Decoupling Schema Linking and Skeleton Parsing for Text-to-SQL |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| RETRACTED: McOmet: Multimodal Fusion Transformer for Physical Audiovisual Commonsense Reasoning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| RGBD1K: A Large-Scale Dataset and Benchmark for RGB-D Object Tracking |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| RINK: Reader-Inherited Evidence Reranker for Table-and-Text Open Domain Question Answering |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| RLEKF: An Optimizer for Deep Potential with Ab Initio Accuracy |
✅ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
3 |
| RLogist: Fast Observation Strategy on Whole-Slide Images with Deep Reinforcement Learning |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| ROIFormer: Semantic-Aware Region of Interest Transformer for Efficient Self-Supervised Monocular Depth Estimation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| RPA: Reasoning Path Augmentation in Iterative Retrieving for Multi-Hop QA |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| RSPT: Reconstruct Surroundings and Predict Trajectory for Generalizable Active Object Tracking |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| RWEN-TTS: Relation-Aware Word Encoding Network for Natural Text-to-Speech Synthesis |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Random Walk Conformer: Learning Graph Representation from Long and Short Range |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Rank Aggregation Using Scoring Rules |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| RankDNN: Learning to Rank for Few-Shot Learning |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Rawlsian Fairness in Online Bipartite Matching: Two-Sided, Group, and Individual |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| ReGANIE: Rectifying GAN Inversion Errors for Accurate Real Image Editing |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| RePreM: Representation Pre-training with Masked Model for Reinforcement Learning |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Reachability Games Modulo Theories with a Bounded Safety Player |
✅ |
❌ |
❌ |
❌ |
✅ |
✅ |
✅ |
4 |
| Reactive Synthesis of Dominant Strategies |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Real or Fake Text?: Investigating Human Ability to Detect Boundaries between Human-Written and Machine-Generated Text |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Real-World Deep Local Motion Deblurring |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Reconstructing an Epidemic Outbreak Using Steiner Connectivity |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Recovering the Graph Underlying Networked Dynamical Systems under Partial Observability: A Deep Learning Approach |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Recurrent Structure Attention Guidance for Depth Super-resolution |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Reducing ANN-SNN Conversion Error through Residual Membrane Potential |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Reducing Domain Gap in Frequency and Spatial Domain for Cross-Modality Domain Adaptation on Medical Image Segmentation |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Reducing Sentiment Bias in Pre-trained Sentiment Classification via Adaptive Gumbel Attack |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
✅ |
3 |
| Referring Expression Comprehension Using Language Adaptive Inference |
❌ |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
5 |
| Refined Semantic Enhancement towards Frequency Diffusion for Video Captioning |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Reinforced Approximate Exploratory Data Analysis |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Reinforcement Causal Structure Learning on Order Graph |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Reinforcement Learning for Branch-and-Bound Optimisation Using Retrospective Trajectories |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
4 |
| Reject Decoding via Language-Vision Models for Text-to-Image Synthesis |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Relation-Aware Language-Graph Transformer for Question Answering |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Relational Program Synthesis with Numerical Reasoning |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
❌ |
3 |
| Reliable Robustness Evaluation via Automatically Constructed Attack Ensembles |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| RenewNAT: Renewing Potential Translation for Non-autoregressive Transformer |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Repair Is Nearly Generation: Multilingual Program Repair with LLMs |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Rephrasing the Reference for Non-autoregressive Machine Translation |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Representation Learning by Detecting Incorrect Location Embeddings |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Representation with Incomplete Votes |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Resilient Binary Neural Network |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Resolving Task Confusion in Dynamic Expansion Architectures for Class Incremental Learning |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Resource Sharing through Multi-Round Matchings |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
3 |
| Restructuring Graph for Higher Homophily via Adaptive Spectral Clustering |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Rethinking Alignment and Uniformity in Unsupervised Image Semantic Segmentation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Rethinking Data Augmentation for Single-Source Domain Generalization in Medical Image Segmentation |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Rethinking Data-Free Quantization as a Zero-Sum Game |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Rethinking Disparity: A Depth Range Free Multi-View Stereo Based on Disparity |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Rethinking Interpretation: Input-Agnostic Saliency Mapping of Deep Visual Classifiers |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Rethinking Rotation Invariance with Point Cloud Registration |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Retrosynthesis Prediction with Local Template Retrieval |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Reviewing Labels: Label Graph Network with Top-k Prediction Set for Relation Extraction |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Revisiting Classifier: Transferring Vision-Language Models for Video Recognition |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Revisiting Denoising Diffusion Probabilistic Models for Speech Enhancement: Condition Collapse, Efficiency and Refinement |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Revisiting Unsupervised Local Descriptor Learning |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Revisiting the Spatial and Temporal Modeling for Few-Shot Action Recognition |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Reward Poisoning Attacks on Offline Multi-Agent Reinforcement Learning |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Reward-Based Negotiating Agent Strategies |
❌ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
4 |
| Reward-Biased Maximum Likelihood Estimation for Neural Contextual Bandits: A Distributional Learning Perspective |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Rich Event Modeling for Script Event Prediction |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Riemannian Local Mechanism for SPD Neural Networks |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Robust Causal Graph Representation Learning against Confounding Effects |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Robust Domain Adaptation for Machine Reading Comprehension |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Robust Feature Rectification of Pretrained Vision Models for Object Recognition |
❌ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
4 |
| Robust Image Denoising of No-Flash Images Guided by Consistent Flash Images |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Robust Multi-Agent Coordination via Evolutionary Generation of Auxiliary Adversarial Attackers |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Robust Neuro-Symbolic Goal and Plan Recognition |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Robust One-Shot Segmentation of Brain Tissues via Image-Aligned Style Transformation |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Robust Representation Learning by Clustering with Bisimulation Metrics for Visual Reinforcement Learning with Distractions |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Robust Self-Supervised Multi-Instance Learning with Structure Awareness |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Robust Temporal Smoothness in Multi-Task Learning |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Robust Video Portrait Reenactment via Personalized Representation Quantization |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Robust and Fast Measure of Information via Low-Rank Representation |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| RobustLoc: Robust Camera Pose Regression in Challenging Driving Environments |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Rolling Horizon Based Temporal Decomposition for the Offline Pickup and Delivery Problem with Time Windows |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Rule Induction in Knowledge Graphs Using Linear Programming |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
7 |
| Runtime Analysis for the NSGA-II: Provable Speed-Ups from Crossover |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| SAH: Shifting-Aware Asymmetric Hashing for Reverse k Maximum Inner Product Search |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| SCI: A Spectrum Concentrated Implicit Neural Compression for Biomedical Data |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| SEAT: Stable and Explainable Attention |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| SEFormer: Structure Embedding Transformer for 3D Object Detection |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| SEPT: Towards Scalable and Efficient Visual Pre-training |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| SEnsor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| SHUNIT: Style Harmonization for Unpaired Image-to-Image Translation |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| SKDBERT: Compressing BERT via Stochastic Knowledge Distillation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
3 |
| SKIER: A Symbolic Knowledge Integrated Model for Conversational Emotion Recognition |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| SLIQ: Quantum Image Similarity Networks on Noisy Quantum Computers |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| SLOTH: Structured Learning and Task-Based Optimization for Time Series Forecasting on Hierarchies |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| SMT Safety Verification of Ontology-Based Processes |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| SPRING: Situated Conversation Agent Pretrained with Multimodal Questions from Incremental Layout Graph |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| SRoUDA: Meta Self-Training for Robust Unsupervised Domain Adaptation |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| SSDA3D: Semi-supervised Domain Adaptation for 3D Object Detection from Point Cloud |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| SSMI: Semantic Similarity and Mutual Information Maximization Based Enhancement for Chinese NER |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| SSPAttack: A Simple and Sweet Paradigm for Black-Box Hard-Label Textual Adversarial Attack |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| STAGE: Span Tagging and Greedy Inference Scheme for Aspect Sentiment Triplet Extraction |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| STARS: Spatial-Temporal Active Re-sampling for Label-Efficient Learning from Noisy Annotations |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| STOA-VLP: Spatial-Temporal Modeling of Object and Action for Video-Language Pre-training |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| SVFI: Spiking-Based Video Frame Interpolation for High-Speed Motion |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| SVP-T: A Shape-Level Variable-Position Transformer for Multivariate Time Series Classification |
❌ |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
5 |
| SWBNet: A Stable White Balance Network for sRGB Images |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| SWL-Adapt: An Unsupervised Domain Adaptation Model with Sample Weight Learning for Cross-User Wearable Human Activity Recognition |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Safe Interval Path Planning with Kinodynamic Constraints |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Safe Multi-View Deep Classification |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Safeguarded Learned Convex Optimization |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Scalable Attributed-Graph Subspace Clustering |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Scalable Bayesian Meta-Learning through Generalized Implicit Gradients |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Scalable Decision-Focused Learning in Restless Multi-Armed Bandits with Application to Maternal and Child Health |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Scalable Edge Blocking Algorithms for Defending Active Directory Style Attack Graphs |
❌ |
❌ |
❌ |
❌ |
✅ |
✅ |
✅ |
3 |
| Scalable Optimal Multiway-Split Decision Trees with Constraints |
❌ |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
5 |
| Scalable Spatial Memory for Scene Rendering and Navigation |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Scalable Spatiotemporal Graph Neural Networks |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Scalable Theory-Driven Regularization of Scene Graph Generation Models |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Scalable and Effective Conductance-Based Graph Clustering |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Scalable and Globally Optimal Generalized L₁ K-center Clustering via Constraint Generation in Mixed Integer Linear Programming |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| Scaling Law for Recommendation Models: Towards General-Purpose User Representations |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Scaling Marginalized Importance Sampling to High-Dimensional State-Spaces via State Abstraction |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| ScatterFormer: Locally-Invariant Scattering Transformer for Patient-Independent Multispectral Detection of Epileptiform Discharges |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Scene Graph to Image Synthesis via Knowledge Consensus |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Scene-Level Sketch-Based Image Retrieval with Minimal Pairwise Supervision |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Score-Based Learning of Graphical Event Models with Background Knowledge Augmentation |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Script, Language, and Labels: Overcoming Three Discrepancies for Low-Resource Language Specialization |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| SeDepTTS: Enhancing the Naturalness via Semantic Dependency and Local Convolution for Text-to-Speech Synthesis |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Second-Order Quantified Boolean Logic |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Securing Lifelines: Safe Delivery of Critical Services in Areas with Volatile Security Situation via a Stackelberg Game Approach |
✅ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| See How You Read? Multi-Reading Habits Fusion Reasoning for Multi-Modal Fake News Detection |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| See Your Emotion from Gait Using Unlabeled Skeleton Data |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| SegFormer: A Topic Segmentation Model with Controllable Range of Attention |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| SelectAugment: Hierarchical Deterministic Sample Selection for Data Augmentation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Selective Knowledge Distillation for Non-Autoregressive Neural Machine Translation |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Selector-Enhancer: Learning Dynamic Selection of Local and Non-local Attention Operation for Speech Enhancement |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Self Correspondence Distillation for End-to-End Weakly-Supervised Semantic Segmentation |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Self-Asymmetric Invertible Network for Compression-Aware Image Rescaling |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Self-Contrastive Learning: Single-Viewed Supervised Contrastive Framework Using Sub-network |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Self-Decoupling and Ensemble Distillation for Efficient Segmentation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Self-Emphasizing Network for Continuous Sign Language Recognition |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Self-Organization Preserved Graph Structure Learning with Principle of Relevant Information |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Self-Supervised Action Representation Learning from Partial Spatio-Temporal Skeleton Sequences |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Self-Supervised Audio-Visual Representation Learning with Relaxed Cross-Modal Synchronicity |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Self-Supervised Bidirectional Learning for Graph Matching |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Self-Supervised Graph Attention Networks for Deep Weighted Multi-View Clustering |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Self-Supervised Graph Learning for Long-Tailed Cognitive Diagnosis |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Self-Supervised Image Denoising Using Implicit Deep Denoiser Prior |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Self-Supervised Image Local Forgery Detection by JPEG Compression Trace |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
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3 |
| Self-Supervised Interest Transfer Network via Prototypical Contrastive Learning for Recommendation |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Self-Supervised Joint Dynamic Scene Reconstruction and Optical Flow Estimation for Spiking Camera |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Self-Supervised Learning for Anomalous Channel Detection in EEG Graphs: Application to Seizure Analysis |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Self-Supervised Learning for Multilevel Skeleton-Based Forgery Detection via Temporal-Causal Consistency of Actions |
❌ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
4 |
| Self-Supervised Logic Induction for Explainable Fuzzy Temporal Commonsense Reasoning |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Self-Supervised Primal-Dual Learning for Constrained Optimization |
✅ |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| Self-Supervised Video Representation Learning via Latent Time Navigation |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Semantic 3D-Aware Portrait Synthesis and Manipulation Based on Compositional Neural Radiance Field |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Semantic-Aware Superpixel for Weakly Supervised Semantic Segmentation |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Semantic-Enhanced Image Clustering |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Semantics-Aware Dynamic Localization and Refinement for Referring Image Segmentation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Semi-Supervised Deep Regression with Uncertainty Consistency and Variational Model Ensembling via Bayesian Neural Networks |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Semi-attention Partition for Occluded Person Re-identification |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Semi-random Impossibilities of Condorcet Criterion |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Semi-supervised Deep Large-Baseline Homography Estimation with Progressive Equivalence Constraint |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Semi-supervised Learning with Support Isolation by Small-Paced Self-Training |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Semi-transductive Learning for Generalized Zero-Shot Sketch-Based Image Retrieval |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
✅ |
3 |
| Semidefinite Programming versus Burer-Monteiro Factorization for Matrix Sensing |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Separate but Equal: Equality in Belief Propagation for Single Cycle Graphs |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Sequence Generation with Label Augmentation for Relation Extraction |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Set-to-Sequence Ranking-Based Concept-Aware Learning Path Recommendation |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| ShadowFormer: Global Context Helps Shadow Removal |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Sharing Pattern Submodels for Prediction with Missing Values |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| SharpSSAT: A Witness-Generating Stochastic Boolean Satisfiability Solver |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| SheetPT: Spreadsheet Pre-training Based on Hierarchical Attention Network |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| ShiftDDPMs: Exploring Conditional Diffusion Models by Shifting Diffusion Trajectories |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Show Me the Way! Bilevel Search for Synthesizing Programmatic Strategies |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Show, Interpret and Tell: Entity-Aware Contextualised Image Captioning in Wikipedia |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Siamese-Discriminant Deep Reinforcement Learning for Solving Jigsaw Puzzles with Large Eroded Gaps |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| SigMaNet: One Laplacian to Rule Them All |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Signed Laplacian Graph Neural Networks |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Simple and Effective Synthesis of Indoor 3D Scenes |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Simple and Efficient Heterogeneous Graph Neural Network |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
4 |
| Simulating Network Paths with Recurrent Buffering Units |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Simultaneously Updating All Persistence Values in Reinforcement Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Skating-Mixer: Long-Term Sport Audio-Visual Modeling with MLPs |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| SlideVQA: A Dataset for Document Visual Question Answering on Multiple Images |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Smoothed Online Combinatorial Optimization Using Imperfect Predictions |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Social Bias Meets Data Bias: The Impacts of Labeling and Measurement Errors on Fairness Criteria |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Social Relation Reasoning Based on Triangular Constraints |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Socially Optimal Non-discriminatory Restrictions for Continuous-Action Games |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
3 |
| Soft Action Priors: Towards Robust Policy Transfer |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Soft Target-Enhanced Matching Framework for Deep Entity Matching |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| SoftCorrect: Error Correction with Soft Detection for Automatic Speech Recognition |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
3 |
| Solving Explainability Queries with Quantification: The Case of Feature Relevancy |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| Solving Large-Scale Pursuit-Evasion Games Using Pre-trained Strategies |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Sparse Coding in a Dual Memory System for Lifelong Learning |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
3 |
| Sparse Maximum Margin Learning from Multimodal Human Behavioral Patterns |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Spatial-Spectral Transformer for Hyperspectral Image Denoising |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| SpatialFormer: Semantic and Target Aware Attentions for Few-Shot Learning |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Spatio-Temporal Meta-Graph Learning for Traffic Forecasting |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Spatio-Temporal Neural Structural Causal Models for Bike Flow Prediction |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Spatiotemporal Deformation Perception for Fisheye Video Rectification |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Spearman Rank Correlation Screening for Ultrahigh-Dimensional Censored Data |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Spectral Feature Augmentation for Graph Contrastive Learning and Beyond |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| SplitNet: A Reinforcement Learning Based Sequence Splitting Method for the MinMax Multiple Travelling Salesman Problem |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Splitting Answer Set Programs with Respect to Intensionality Statements |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Stability-Based Generalization Analysis for Mixtures of Pointwise and Pairwise Learning |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Stability-Based Generalization Analysis of the Asynchronous Decentralized SGD |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Stable Learning via Sparse Variable Independence |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| State-Conditioned Adversarial Subgoal Generation |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Steganography of Steganographic Networks |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Stepdown SLOPE for Controlled Feature Selection |
✅ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| StereoDistill: Pick the Cream from LiDAR for Distilling Stereo-Based 3D Object Detection |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Stochastic Contextual Bandits with Long Horizon Rewards |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Stop-Gradient Softmax Loss for Deep Metric Learning |
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❌ |
✅ |
✅ |
✅ |
❌ |
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4 |
| Store and Fetch Immediately: Everything Is All You Need for Space-Time Video Super-resolution |
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❌ |
✅ |
✅ |
✅ |
✅ |
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5 |
| Strategic Facility Location with Clients That Minimize Total Waiting Time |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Strategyproofness and Proportionality in Party-Approval Multiwinner Elections |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Stroke Extraction of Chinese Character Based on Deep Structure Deformable Image Registration |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Structurally Restricted Fragments of Numeric Planning – a Complexity Analysis |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Structure Aware Incremental Learning with Personalized Imitation Weights for Recommender Systems |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Structure Flow-Guided Network for Real Depth Super-resolution |
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✅ |
✅ |
❌ |
✅ |
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4 |
| Structured BFGS Method for Optimal Doubly Stochastic Matrix Approximation |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| Structured Case-Based Reasoning for Inference-Time Adaptation of Text-to-SQL Parsers |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Style-Content Metric Learning for Multidomain Remote Sensing Object Recognition |
❌ |
✅ |
✅ |
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❌ |
✅ |
4 |
| StyleTalk: One-Shot Talking Head Generation with Controllable Speaking Styles |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
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4 |
| Submodular Maximization under the Intersection of Matroid and Knapsack Constraints |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Subspace-Aware Exploration for Sparse-Reward Multi-Agent Tasks |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Substructure Aware Graph Neural Networks |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| SumREN: Summarizing Reported Speech about Events in News |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Super-efficient Echocardiography Video Segmentation via Proxy- and Kernel-Based Semi-supervised Learning |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Superpoint Transformer for 3D Scene Instance Segmentation |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| Supervised Contrastive Few-Shot Learning for High-Frequency Time Series |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Sustaining Fairness via Incremental Learning |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
3 |
| SwiftAvatar: Efficient Auto-Creation of Parameterized Stylized Character on Arbitrary Avatar Engines |
❌ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
4 |
| SwinRDM: Integrate SwinRNN with Diffusion Model towards High-Resolution and High-Quality Weather Forecasting |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Symbolic Metamodels for Interpreting Black-Boxes Using Primitive Functions |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Symbolic Replay: Scene Graph as Prompt for Continual Learning on VQA Task |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Symmetry-Aware Transformer-Based Mirror Detection |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Symphony in the Latent Space: Provably Integrating High-Dimensional Techniques with Non-linear Machine Learning Models |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Synchronization and Diversity of Solutions |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Synthetic Data Can Also Teach: Synthesizing Effective Data for Unsupervised Visual Representation Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| T-distributed Spherical Feature Representation for Imbalanced Classification |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| T2-GNN: Graph Neural Networks for Graphs with Incomplete Features and Structure via Teacher-Student Distillation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| T2G-FORMER: Organizing Tabular Features into Relation Graphs Promotes Heterogeneous Feature Interaction |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| TC-DWA:Text Clustering with Dual Word-Level Augmentation |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| TOT：Topology-Aware Optimal Transport for Multimodal Hate Detection |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| TaCo: Textual Attribute Recognition via Contrastive Learning |
❌ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
2 |
| Tackling Data Heterogeneity in Federated Learning with Class Prototypes |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Tagging before Alignment: Integrating Multi-Modal Tags for Video-Text Retrieval |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Take Your Model Further: A General Post-refinement Network for Light Field Disparity Estimation via BadPix Correction |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
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3 |
| Taming Continuous Posteriors for Latent Variational Dialogue Policies |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| Target-Aware Tracking with Long-Term Context Attention |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Target-Free Text-Guided Image Manipulation |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Task-Specific Scene Structure Representations |
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✅ |
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❌ |
✅ |
❌ |
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4 |
| Teaching to Learn: Sequential Teaching of Learners with Internal States |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Temporal Knowledge Graph Reasoning with Historical Contrastive Learning |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Temporal-Frequency Co-training for Time Series Semi-supervised Learning |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
7 |
| Tensor Compressive Sensing Fused Low-Rankness and Local-Smoothness |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
7 |
| Tensorized Incomplete Multi-View Clustering with Intrinsic Graph Completion |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Text to Point Cloud Localization with Relation-Enhanced Transformer |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Text-DIAE: A Self-Supervised Degradation Invariant Autoencoder for Text Recognition and Document Enhancement |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| The Devil Is in the Frequency: Geminated Gestalt Autoencoder for Self-Supervised Visual Pre-training |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
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3 |
| The Effect of Diversity in Meta-Learning |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| The Effect of Modeling Human Rationality Level on Learning Rewards from Multiple Feedback Types |
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❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| The Effect of Preferences in Abstract Argumentation under a Claim-Centric View |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| The Expressive Power of Ad-Hoc Constraints for Modelling CSPs |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| The Implicit Regularization of Momentum Gradient Descent in Overparametrized Models |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| The Influence of Dimensions on the Complexity of Computing Decision Trees |
✅ |
❌ |
❌ |
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❌ |
❌ |
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1 |
| The Linear Distance Traveling Tournament Problem Allows an EPTAS |
✅ |
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❌ |
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❌ |
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1 |
| The Multi-Agent Transportation Problem |
✅ |
✅ |
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✅ |
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4 |
| The Parameterized Complexity of Network Microaggregation |
❌ |
❌ |
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❌ |
❌ |
❌ |
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0 |
| The Perils of Trial-and-Error Reward Design: Misdesign through Overfitting and Invalid Task Specifications |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
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3 |
| The Role of Heuristics and Biases during Complex Choices with an AI Teammate |
❌ |
❌ |
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❌ |
❌ |
❌ |
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1 |
| The Sufficiency of Off-Policyness and Soft Clipping: PPO Is Still Insufficient according to an Off-Policy Measure |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
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3 |
| The Unreasonable Effectiveness of Deep Evidential Regression |
❌ |
✅ |
✅ |
❌ |
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❌ |
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4 |
| The Value of AI Guidance in Human Examination of Synthetically-Generated Faces |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
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3 |
| Tight Inapproximability for Graphical Games |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Tight Performance Guarantees of Imitator Policies with Continuous Actions |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Tighter Robust Upper Bounds for Options via No-Regret Learning |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Time Series Contrastive Learning with Information-Aware Augmentations |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
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1 |
| Time-Aware Random Walk Diffusion to Improve Dynamic Graph Learning |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| TinyNeRF: Towards 100 x Compression of Voxel Radiance Fields |
❌ |
❌ |
✅ |
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3 |
| Token Mixing: Parameter-Efficient Transfer Learning from Image-Language to Video-Language |
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4 |
| TopicFM: Robust and Interpretable Topic-Assisted Feature Matching |
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4 |
| Topological Distance Games |
✅ |
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❌ |
❌ |
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1 |
| Topological Pooling on Graphs |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Tournament Fixing Parameterized by Feedback Vertex Set Number Is FPT |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Toward Robust Diagnosis: A Contour Attention Preserving Adversarial Defense for COVID-19 Detection |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
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4 |
| Toward a Perspectivist Turn in Ground Truthing for Predictive Computing |
❌ |
❌ |
❌ |
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❌ |
❌ |
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0 |
| Towards Automated Modeling Assistance: An Efficient Approach for Repairing Flawed Planning Domains |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
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3 |
| Towards Better Visualizing the Decision Basis of Networks via Unfold and Conquer Attribution Guidance |
✅ |
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✅ |
✅ |
❌ |
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4 |
| Towards Complex Scenarios: Building End-to-End Task-Oriented Dialogue System across Multiple Knowledge Bases |
❌ |
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✅ |
✅ |
✅ |
❌ |
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5 |
| Towards Credible Human Evaluation of Open-Domain Dialog Systems Using Interactive Setup |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
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1 |
| Towards Decision-Friendly AUC: Learning Multi-Classifier with AUCµ |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
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3 |
| Towards Diverse, Relevant and Coherent Open-Domain Dialogue Generation via Hybrid Latent Variables |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
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2 |
| Towards Efficient and Domain-Agnostic Evasion Attack with High-Dimensional Categorical Inputs |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Towards Fine-Grained Explainability for Heterogeneous Graph Neural Network |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Towards Global Video Scene Segmentation with Context-Aware Transformer |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Towards Good Practices for Missing Modality Robust Action Recognition |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Towards In-Distribution Compatible Out-of-Distribution Detection |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Towards Inference Efficient Deep Ensemble Learning |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
3 |
| Towards Interpreting and Utilizing Symmetry Property in Adversarial Examples |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Towards More Robust Interpretation via Local Gradient Alignment |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Towards Optimal Randomized Strategies in Adversarial Example Game |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Towards Real-Time Panoptic Narrative Grounding by an End-to-End Grounding Network |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Towards Real-Time Segmentation on the Edge |
❌ |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
5 |
| Towards Reliable Item Sampling for Recommendation Evaluation |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
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2 |
| Towards Reliable Neural Machine Translation with Consistency-Aware Meta-Learning |
✅ |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| Towards Robust Metrics for Concept Representation Evaluation |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Towards Voice Reconstruction from EEG during Imagined Speech |
❌ |
✅ |
❌ |
✅ |
✅ |
❌ |
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4 |
| Towards a Holistic Understanding of Mathematical Questions with Contrastive Pre-training |
❌ |
✅ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| TrEP: Transformer-Based Evidential Prediction for Pedestrian Intention with Uncertainty |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| TrOCR: Transformer-Based Optical Character Recognition with Pre-trained Models |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Tracking and Reconstructing Hand Object Interactions from Point Cloud Sequences in the Wild |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
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4 |
| Trafformer: Unify Time and Space in Traffic Prediction |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
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3 |
| Training Meta-Surrogate Model for Transferable Adversarial Attack |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
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3 |
| Training-Time Attacks against K-nearest Neighbors |
✅ |
❌ |
✅ |
❌ |
❌ |
✅ |
✅ |
4 |
| TransLO: A Window-Based Masked Point Transformer Framework for Large-Scale LiDAR Odometry |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| TransPath: Learning Heuristics for Grid-Based Pathfinding via Transformers |
✅ |
✅ |
✅ |
✅ |
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❌ |
✅ |
6 |
| TransVCL: Attention-Enhanced Video Copy Localization Network with Flexible Supervision |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Transfer Learning Enhanced DeepONet for Long-Time Prediction of Evolution Equations |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Transferable Post-hoc Calibration on Pretrained Transformers in Noisy Text Classification |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Transformation-Equivariant 3D Object Detection for Autonomous Driving |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Tree Learning: Optimal Sample Complexity and Algorithms |
❌ |
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✅ |
❌ |
❌ |
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1 |
| Tree-Structured Trajectory Encoding for Vision-and-Language Navigation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Tricking the Hashing Trick: A Tight Lower Bound on the Robustness of CountSketch to Adaptive Inputs |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Truncate-Split-Contrast: A Framework for Learning from Mislabeled Videos |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Trusted Fine-Grained Image Classification through Hierarchical Evidence Fusion |
✅ |
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✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Truthful Mechanisms for Steiner Tree Problems |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Two Heads Are Better than One: Image-Point Cloud Network for Depth-Based 3D Hand Pose Estimation |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
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4 |
| Two Views of Constrained Differential Privacy: Belief Revision and Update |
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❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| UCoL: Unsupervised Learning of Discriminative Facial Representations via Uncertainty-Aware Contrast |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| UEQMS: UMAP Embedded Quick Mean Shift Algorithm for High Dimensional Clustering |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| USDNL: Uncertainty-Based Single Dropout in Noisy Label Learning |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| USER: Unsupervised Structural Entropy-Based Robust Graph Neural Network |
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3 |
| Ultra-High-Definition Low-Light Image Enhancement: A Benchmark and Transformer-Based Method |
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4 |
| Ultrafast Euclidean Shortest Path Computation Using Hub Labeling |
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5 |
| Unbalanced CO-optimal Transport |
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3 |
| Unbiased Heterogeneous Scene Graph Generation with Relation-Aware Message Passing Neural Network |
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4 |
| Uncertainty-Aware Image Captioning |
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6 |
| Uncertainty-Aware Self-Training for Low-Resource Neural Sequence Labeling |
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6 |
| Understanding Representation Learnability of Nonlinear Self-Supervised Learning |
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3 |
| Understanding the Generalization Performance of Spectral Clustering Algorithms |
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1 |
| Underwater Ranker: Learn Which Is Better and How to Be Better |
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4 |
| Unfooling Perturbation-Based Post Hoc Explainers |
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6 |
| UniSyn: An End-to-End Unified Model for Text-to-Speech and Singing Voice Synthesis |
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4 |
| Uniform Sequence Better: Time Interval Aware Data Augmentation for Sequential Recommendation |
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5 |
| Unifying Vision-Language Representation Space with Single-Tower Transformer |
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2 |
| Universal Information Extraction as Unified Semantic Matching |
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2 |
| Universe Points Representation Learning for Partial Multi-Graph Matching |
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1 |
| Unlabeled Imperfect Demonstrations in Adversarial Imitation Learning |
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4 |
| Unsupervised Cross-Domain Rumor Detection with Contrastive Learning and Cross-Attention |
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2 |
| Unsupervised Deep Embedded Fusion Representation of Single-Cell Transcriptomics |
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3 |
| Unsupervised Deep Learning for Phase Retrieval via Teacher-Student Distillation |
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3 |
| Unsupervised Deep Video Denoising with Untrained Network |
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3 |
| Unsupervised Domain Adaptation for Medical Image Segmentation by Selective Entropy Constraints and Adaptive Semantic Alignment |
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4 |
| Unsupervised Explanation Generation via Correct Instantiations |
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5 |
| Unsupervised Hierarchical Domain Adaptation for Adverse Weather Optical Flow |
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3 |
| Unsupervised Legal Evidence Retrieval via Contrastive Learning with Approximate Aggregated Positive |
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5 |
| Unsupervised Multi-Exposure Image Fusion Breaking Exposure Limits via Contrastive Learning |
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5 |
| Unsupervised Paraphrasing under Syntax Knowledge |
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4 |
| Untangled: A Complete Dynamic Topological Logic |
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0 |
| Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense |
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5 |
| Unveiling the Black Box of PLMs with Semantic Anchors: Towards Interpretable Neural Semantic Parsing |
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5 |
| User-Controllable Arbitrary Style Transfer via Entropy Regularization |
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4 |
| Utility Maximizer or Value Maximizer: Mechanism Design for Mixed Bidders in Online Advertising |
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1 |
| Utilizing Prior Solutions for Reward Shaping and Composition in Entropy-Regularized Reinforcement Learning |
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1 |
| VASR: Visual Analogies of Situation Recognition |
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5 |
| VBLC: Visibility Boosting and Logit-Constraint Learning for Domain Adaptive Semantic Segmentation under Adverse Conditions |
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5 |
| VIDM: Video Implicit Diffusion Models |
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2 |
| VLTinT: Visual-Linguistic Transformer-in-Transformer for Coherent Video Paragraph Captioning |
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5 |
| Value-Consistent Representation Learning for Data-Efficient Reinforcement Learning |
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2 |
| Variable-Based Calibration for Machine Learning Classifiers |
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4 |
| Variational Wasserstein Barycenters with C-cyclical Monotonicity Regularization |
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4 |
| Vector Causal Inference between Two Groups of Variables |
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5 |
| Very Fast, Approximate Counterfactual Explanations for Decision Forests |
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2 |
| Video Compression Artifact Reduction by Fusing Motion Compensation and Global Context in a Swin-CNN Based Parallel Architecture |
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5 |
| Video Event Extraction via Tracking Visual States of Arguments |
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5 |
| Video Object of Interest Segmentation |
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4 |
| Video-Text Pre-training with Learned Regions for Retrieval |
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2 |
| VideoDubber: Machine Translation with Speech-Aware Length Control for Video Dubbing |
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2 |
| Visually Grounded Commonsense Knowledge Acquisition |
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3 |
| Voting with Preference Intensities |
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0 |
| WIERT: Web Information Extraction via Render Tree |
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4 |
| WLD-Reg: A Data-Dependent Within-Layer Diversity Regularizer |
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5 |
| WSiP: Wave Superposition Inspired Pooling for Dynamic Interactions-Aware Trajectory Prediction |
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4 |
| Warm-Starting Nested Rollout Policy Adaptation with Optimal Stopping |
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3 |
| Was Fixing This Really That Hard? On the Complexity of Correcting HTN Domains |
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1 |
| Wasserstein Actor-Critic: Directed Exploration via Optimism for Continuous-Actions Control |
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3 |
| Wasserstein Graph Distance Based on L1–Approximated Tree Edit Distance between Weisfeiler–Lehman Subtrees |
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6 |
| WaveForM: Graph Enhanced Wavelet Learning for Long Sequence Forecasting of Multivariate Time Series |
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3 |
| Weakly Supervised 3D Multi-Person Pose Estimation for Large-Scale Scenes Based on Monocular Camera and Single LiDAR |
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5 |
| Weakly Supervised 3D Segmentation via Receptive-Driven Pseudo Label Consistency and Structural Consistency |
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4 |
| Weakly-Guided Self-Supervised Pretraining for Temporal Activity Detection |
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4 |
| Weakly-Supervised Camouflaged Object Detection with Scribble Annotations |
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4 |
| Weakly-Supervised Semantic Segmentation for Histopathology Images Based on Dataset Synthesis and Feature Consistency Constraint |
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6 |
| Weight Predictor Network with Feature Selection for Small Sample Tabular Biomedical Data |
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5 |
| Weighted Policy Constraints for Offline Reinforcement Learning |
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5 |
| What Do You MEME? Generating Explanations for Visual Semantic Role Labelling in Memes |
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3 |
| What Does Your Face Sound Like? 3D Face Shape towards Voice |
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4 |
| When Congestion Games Meet Mobile Crowdsourcing: Selective Information Disclosure |
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2 |
| When Neural Networks Fail to Generalize? A Model Sensitivity Perspective |
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5 |
| When Online Learning Meets ODE: Learning without Forgetting on Variable Feature Space |
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3 |
| Where Will Players Move Next? Dynamic Graphs and Hierarchical Fusion for Movement Forecasting in Badminton |
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6 |
| Which Shortcut Solution Do Question Answering Models Prefer to Learn? |
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2 |
| Why Capsule Neural Networks Do Not Scale: Challenging the Dynamic Parse-Tree Assumption |
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4 |
| Wiener Graph Deconvolutional Network Improves Graph Self-Supervised Learning |
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3 |
| Win-Win: A Privacy-Preserving Federated Framework for Dual-Target Cross-Domain Recommendation |
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2 |
| XClusters: Explainability-First Clustering |
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4 |
| XRand: Differentially Private Defense against Explanation-Guided Attacks |
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3 |
| YOLOV: Making Still Image Object Detectors Great at Video Object Detection |
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5 |
| Yet Another Traffic Classifier: A Masked Autoencoder Based Traffic Transformer with Multi-Level Flow Representation |
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5 |
| Zero-Cost Operation Scoring in Differentiable Architecture Search |
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6 |
| Zero-Knowledge Proofs for Classical Planning Problems |
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1 |
| Zero-Shot Assistance in Sequential Decision Problems |
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2 |
| Zero-Shot Cross-Lingual Event Argument Extraction with Language-Oriented Prefix-Tuning |
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4 |
| Zero-Shot Face-Based Voice Conversion: Bottleneck-Free Speech Disentanglement in the Real-World Scenario |
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2 |
| Zero-Shot Linear Combinations of Grounded Social Interactions with Linear Social MDPs |
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4 |
| Zero-Shot Rumor Detection with Propagation Structure via Prompt Learning |
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3 |
| Zero-Shot Slot Filling with Slot-Prefix Prompting and Attention Relationship Descriptor |
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2 |
| fmLRE: A Low-Resource Relation Extraction Model Based on Feature Mapping Similarity Calculation |
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4 |
| i-Code: An Integrative and Composable Multimodal Learning Framework |
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4 |