| (2.5+1)D Spatio-Temporal Scene Graphs for Video Question Answering |
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5 |
| 6DCNN with Roto-Translational Convolution Filters for Volumetric Data Processing |
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3 |
| A Calculus for Computing Structured Justifications for Election Outcomes |
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1 |
| A Causal Debiasing Framework for Unsupervised Salient Object Detection |
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2 |
| A Causal Inference Look at Unsupervised Video Anomaly Detection |
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2 |
| A Complete Criterion for Value of Information in Soluble Influence Diagrams |
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1 |
| A Computable Definition of the Spectral Bias |
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6 |
| A Deeper Understanding of State-Based Critics in Multi-Agent Reinforcement Learning |
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2 |
| A Distributional Framework for Risk-Sensitive End-to-End Planning in Continuous MDPs |
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0 |
| A Divide and Conquer Algorithm for Predict+Optimize with Non-convex Problems |
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7 |
| A Dynamic Meta-Learning Model for Time-Sensitive Cold-Start Recommendations |
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4 |
| A Fast Algorithm for PAC Combinatorial Pure Exploration |
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3 |
| A Fast Local Search Algorithm for the Latin Square Completion Problem |
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4 |
| A First Mathematical Runtime Analysis of the Non-dominated Sorting Genetic Algorithm II (NSGA-II) |
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2 |
| A Fully Single Loop Algorithm for Bilevel Optimization without Hessian Inverse |
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5 |
| A Fusion-Denoising Attack on InstaHide with Data Augmentation |
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2 |
| A Generalized Bootstrap Target for Value-Learning, Efficiently Combining Value and Feature Predictions |
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3 |
| A Graph Convolutional Network with Adaptive Graph Generation and Channel Selection for Event Detection |
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✅ |
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3 |
| A Hybrid Causal Structure Learning Algorithm for Mixed-Type Data |
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❌ |
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6 |
| A Label Dependence-Aware Sequence Generation Model for Multi-Level Implicit Discourse Relation Recognition |
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❌ |
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6 |
| A Little Charity Guarantees Fair Connected Graph Partitioning |
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1 |
| A Lyapunov-Based Methodology for Constrained Optimization with Bandit Feedback |
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2 |
| A Multi-Agent Reinforcement Learning Approach for Efficient Client Selection in Federated Learning |
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✅ |
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3 |
| A Nested Bi-level Optimization Framework for Robust Few Shot Learning |
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5 |
| A Novel Approach to Solving Goal-Achieving Problems for Board Games |
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3 |
| A Provably-Efficient Model-Free Algorithm for Infinite-Horizon Average-Reward Constrained Markov Decision Processes |
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3 |
| A Random CNN Sees Objects: One Inductive Bias of CNN and Its Applications |
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4 |
| A Self-Supervised Mixed-Curvature Graph Neural Network |
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4 |
| A Semi-supervised Learning Approach with Two Teachers to Improve Breakdown Identification in Dialogues |
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❌ |
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5 |
| A Unified Framework for Real Time Motion Completion |
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4 |
| A Unifying Theory of Thompson Sampling for Continuous Risk-Averse Bandits |
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❌ |
❌ |
✅ |
3 |
| A Variant of Concurrent Constraint Programming on GPU |
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❌ |
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6 |
| A* Search and Bound-Sensitive Heuristics for Oversubscription Planning |
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4 |
| A*+BFHS: A Hybrid Heuristic Search Algorithm |
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4 |
| ACDNet: Adaptively Combined Dilated Convolution for Monocular Panorama Depth Estimation |
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5 |
| ACGNet: Action Complement Graph Network for Weakly-Supervised Temporal Action Localization |
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4 |
| ADD: Frequency Attention and Multi-View Based Knowledge Distillation to Detect Low-Quality Compressed Deepfake Images |
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5 |
| AFDetV2: Rethinking the Necessity of the Second Stage for Object Detection from Point Clouds |
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❌ |
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4 |
| ALP: Data Augmentation Using Lexicalized PCFGs for Few-Shot Text Classification |
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❌ |
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3 |
| ASM2TV: An Adaptive Semi-supervised Multi-Task Multi-View Learning Framework for Human Activity Recognition |
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4 |
| ASP-Based Declarative Process Mining |
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3 |
| AXM-Net: Implicit Cross-Modal Feature Alignment for Person Re-identification |
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✅ |
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3 |
| Achieving Counterfactual Fairness for Causal Bandit |
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3 |
| Achieving Long-Term Fairness in Sequential Decision Making |
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4 |
| Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach |
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2 |
| Action-Aware Embedding Enhancement for Image-Text Retrieval |
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✅ |
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2 |
| Activation Modulation and Recalibration Scheme for Weakly Supervised Semantic Segmentation |
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4 |
| Active Boundary Loss for Semantic Segmentation |
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4 |
| Active Learning for Domain Adaptation: An Energy-Based Approach |
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4 |
| Active Learning on Pre-trained Language Model with Task-Independent Triplet Loss |
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4 |
| Active Sampling for Text Classification with Subinstance Level Queries |
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2 |
| AdaLoss: A Computationally-Efficient and Provably Convergent Adaptive Gradient Method |
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5 |
| Adapt to Environment Sudden Changes by Learning a Context Sensitive Policy |
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2 |
| Adaptive Hypergraph Neural Network for Multi-Person Pose Estimation |
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4 |
| Adaptive Image-to-Video Scene Graph Generation via Knowledge Reasoning and Adversarial Learning |
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2 |
| Adaptive Kernel Graph Neural Network |
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5 |
| Adaptive Logit Adjustment Loss for Long-Tailed Visual Recognition |
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4 |
| Adaptive Orthogonal Projection for Batch and Online Continual Learning |
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5 |
| Adaptive Pairwise Weights for Temporal Credit Assignment |
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2 |
| Adaptive Poincaré Point to Set Distance for Few-Shot Classification |
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2 |
| Adaptive and Universal Algorithms for Variational Inequalities with Optimal Convergence |
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2 |
| AdaptivePose: Human Parts as Adaptive Points |
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4 |
| Admissible Policy Teaching through Reward Design |
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2 |
| Adversarial Attack for Asynchronous Event-Based Data |
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4 |
| Adversarial Bone Length Attack on Action Recognition |
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5 |
| Adversarial Data Augmentation for Task-Specific Knowledge Distillation of Pre-trained Transformers |
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4 |
| Adversarial Examples Can Be Effective Data Augmentation for Unsupervised Machine Learning |
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4 |
| Adversarial Learning from Crowds |
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5 |
| Adversarial Robustness in Multi-Task Learning: Promises and Illusions |
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5 |
| Adversarial Training for Improving Model Robustness? Look at Both Prediction and Interpretation |
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4 |
| Algorithmic Bayesian Persuasion with Combinatorial Actions |
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1 |
| Algorithmic Concept-Based Explainable Reasoning |
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3 |
| Algorithmic Fairness Verification with Graphical Models |
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4 |
| Almost Full EFX Exists for Four Agents |
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0 |
| AlphaHoldem: High-Performance Artificial Intelligence for Heads-Up No-Limit Poker via End-to-End Reinforcement Learning |
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3 |
| Amortized Generation of Sequential Algorithmic Recourses for Black-Box Models |
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4 |
| Amplitude Spectrum Transformation for Open Compound Domain Adaptive Semantic Segmentation |
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4 |
| An Adversarial Framework for Generating Unseen Images by Activation Maximization |
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2 |
| An Algorithmic Introduction to Savings Circles |
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2 |
| An Axiomatic Approach to Revising Preferences |
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0 |
| An Efficient Combinatorial Optimization Model Using Learning-to-Rank Distillation |
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❌ |
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1 |
| An Empirical Study of GPT-3 for Few-Shot Knowledge-Based VQA |
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3 |
| An Evaluative Measure of Clustering Methods Incorporating Hyperparameter Sensitivity |
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3 |
| An Exact Algorithm with New Upper Bounds for the Maximum k-Defective Clique Problem in Massive Sparse Graphs |
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5 |
| An Experimental Design Approach for Regret Minimization in Logistic Bandits |
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2 |
| An Online Learning Approach to Sequential User-Centric Selection Problems |
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2 |
| An Unsupervised Way to Understand Artifact Generating Internal Units in Generative Neural Networks |
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2 |
| Analysis of Pure Literal Elimination Rule for Non-uniform Random (MAX) k-SAT Problem with an Arbitrary Degree Distribution |
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2 |
| Anchor DETR: Query Design for Transformer-Based Detector |
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4 |
| AnchorFace: Boosting TAR@FAR for Practical Face Recognition |
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3 |
| Anisotropic Additive Quantization for Fast Inner Product Search |
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2 |
| Anisotropic Fourier Features for Neural Image-Based Rendering and Relighting |
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3 |
| Answering Queries with Negation over Existential Rules |
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0 |
| Anytime Guarantees under Heavy-Tailed Data |
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5 |
| Anytime Multi-Agent Path Finding via Machine Learning-Guided Large Neighborhood Search |
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4 |
| Approval-Based Committee Voting under Incomplete Information |
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0 |
| ApproxASP – a Scalable Approximate Answer Set Counter |
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4 |
| ApproxIFER: A Model-Agnostic Approach to Resilient and Robust Prediction Serving Systems |
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3 |
| Are Vision-Language Transformers Learning Multimodal Representations? A Probing Perspective |
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3 |
| Assessing a Single Image in Reference-Guided Image Synthesis |
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3 |
| Attacking Video Recognition Models with Bullet-Screen Comments |
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❌ |
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6 |
| Attention Biasing and Context Augmentation for Zero-Shot Control of Encoder-Decoder Transformers for Natural Language Generation |
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2 |
| Attention-Aligned Transformer for Image Captioning |
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4 |
| Attention-Based Transformation from Latent Features to Point Clouds |
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3 |
| Attribute-Based Progressive Fusion Network for RGBT Tracking |
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6 |
| Augmentation-Free Self-Supervised Learning on Graphs |
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4 |
| AutoBERT-Zero: Evolving BERT Backbone from Scratch |
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5 |
| AutoCFR: Learning to Design Counterfactual Regret Minimization Algorithms |
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4 |
| AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators |
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5 |
| Automated Synthesis of Generalized Invariant Strategies via Counterexample-Guided Strategy Refinement |
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3 |
| Axiomatization of Aggregates in Answer Set Programming |
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0 |
| BATUDE: Budget-Aware Neural Network Compression Based on Tucker Decomposition |
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3 |
| BERTMap: A BERT-Based Ontology Alignment System |
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6 |
| BM-NAS: Bilevel Multimodal Neural Architecture Search |
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5 |
| BROS: A Pre-trained Language Model Focusing on Text and Layout for Better Key Information Extraction from Documents |
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4 |
| BScNets: Block Simplicial Complex Neural Networks |
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5 |
| Backdoor Attacks on the DNN Interpretation System |
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3 |
| Backprop-Free Reinforcement Learning with Active Neural Generative Coding |
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❌ |
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2 |
| Bag Graph: Multiple Instance Learning Using Bayesian Graph Neural Networks |
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4 |
| Balanced Self-Paced Learning for AUC Maximization |
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4 |
| Bandit Limited Discrepancy Search and Application to Machine Learning Pipeline Optimization |
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6 |
| Barely-Supervised Learning: Semi-supervised Learning with Very Few Labeled Images |
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3 |
| Batch Active Learning with Graph Neural Networks via Multi-Agent Deep Reinforcement Learning |
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5 |
| Bayesian Optimization over Permutation Spaces |
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4 |
| Bayesian Persuasion in Sequential Decision-Making |
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3 |
| Behind the Curtain: Learning Occluded Shapes for 3D Object Detection |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Being Friends Instead of Adversaries: Deep Networks Learn from Data Simplified by Other Networks |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Best-Buddy GANs for Highly Detailed Image Super-resolution |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Better Parameter-Free Stochastic Optimization with ODE Updates for Coin-Betting |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Beyond GNNs: An Efficient Architecture for Graph Problems |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Beyond Learning Features: Training a Fully-Functional Classifier with ZERO Instance-Level Labels |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Beyond Shared Subspace: A View-Specific Fusion for Multi-View Multi-Label Learning |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Bi-CMR: Bidirectional Reinforcement Guided Hashing for Effective Cross-Modal Retrieval |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Bi-volution: A Static and Dynamic Coupled Filter |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| BiRdQA: A Bilingual Dataset for Question Answering on Tricky Riddles |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| Blindfolded Attackers Still Threatening: Strict Black-Box Adversarial Attacks on Graphs |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Block Modeling-Guided Graph Convolutional Neural Networks |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Block-Skim: Efficient Question Answering for Transformer |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Blockwise Sequential Model Learning for Partially Observable Reinforcement Learning |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Boost Supervised Pretraining for Visual Transfer Learning: Implications of Self-Supervised Contrastive Representation Learning |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Boosting Active Learning via Improving Test Performance |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Boosting Contrastive Learning with Relation Knowledge Distillation |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Boosting Generative Zero-Shot Learning by Synthesizing Diverse Features with Attribute Augmentation |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Boosting the Transferability of Video Adversarial Examples via Temporal Translation |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Bounding Quality in Diverse Planning |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Bounds on Causal Effects and Application to High Dimensional Data |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
❌ |
2 |
| Braid: Weaving Symbolic and Neural Knowledge into Coherent Logical Explanations |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Breaking the Convergence Barrier: Optimization via Fixed-Time Convergent Flows |
❌ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
4 |
| Bridging LTLf Inference to GNN Inference for Learning LTLf Formulae |
✅ |
✅ |
❌ |
❌ |
✅ |
❌ |
✅ |
4 |
| Bridging between Cognitive Processing Signals and Linguistic Features via a Unified Attentional Network |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Bridging the Gap: Using Deep Acoustic Representations to Learn Grounded Language from Percepts and Raw Speech |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| C2L: Causally Contrastive Learning for Robust Text Classification |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| CADRE: A Cascade Deep Reinforcement Learning Framework for Vision-Based Autonomous Urban Driving |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
✅ |
3 |
| CAISE: Conversational Agent for Image Search and Editing |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| CATN: Cross Attentive Tree-Aware Network for Multivariate Time Series Forecasting |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| CC-CERT: A Probabilistic Approach to Certify General Robustness of Neural Networks |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| CEM: Commonsense-Aware Empathetic Response Generation |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| CF-DETR: Coarse-to-Fine Transformers for End-to-End Object Detection |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| CINS: Comprehensive Instruction for Few-Shot Learning in Task-Oriented Dialog Systems |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| CLPA: Clean-Label Poisoning Availability Attacks Using Generative Adversarial Nets |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| CMUA-Watermark: A Cross-Model Universal Adversarial Watermark for Combating Deepfakes |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| CPRAL: Collaborative Panoptic-Regional Active Learning for Semantic Segmentation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| CQA-Face: Contrastive Quality-Aware Attentions for Face Recognition |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| CTIN: Robust Contextual Transformer Network for Inertial Navigation |
❌ |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
5 |
| Calibrated Nonparametric Scan Statistics for Anomalous Pattern Detection in Graphs |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Call for Customized Conversation: Customized Conversation Grounding Persona and Knowledge |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Can Machines Read Coding Manuals Yet? – A Benchmark for Building Better Language Models for Code Understanding |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Can Semantic Labels Assist Self-Supervised Visual Representation Learning? |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Can Vision Transformers Learn without Natural Images? |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Categorical Neighbour Correlation Coefficient (CnCor) for Detecting Relationships between Categorical Variables |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Category-Specific Nuance Exploration Network for Fine-Grained Object Retrieval |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Causal Discovery in Hawkes Processes by Minimum Description Length |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Causal Intervention for Subject-Deconfounded Facial Action Unit Recognition |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Certified Robustness of Nearest Neighbors against Data Poisoning and Backdoor Attacks |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Certified Symmetry and Dominance Breaking for Combinatorial Optimisation |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
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5 |
| Chaining Value Functions for Off-Policy Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Channelized Axial Attention – considering Channel Relation within Spatial Attention for Semantic Segmentation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Characterization of Incentive Compatibility of an Ex-ante Constrained Player |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Characterizing the Program Expressive Power of Existential Rule Languages |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Chess as a Testbed for Language Model State Tracking |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
5 |
| Choices Are Not Independent: Stackelberg Security Games with Nested Quantal Response Models |
✅ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| Chunk Dynamic Updating for Group Lasso with ODEs |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Class Guided Channel Weighting Network for Fine-Grained Semantic Segmentation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Classical Planning with Avoid Conditions |
✅ |
✅ |
❌ |
❌ |
✅ |
❌ |
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4 |
| Classifying Emails into Human vs Machine Category |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| Clinical-BERT: Vision-Language Pre-training for Radiograph Diagnosis and Reports Generation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
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4 |
| Close the Loop: A Unified Bottom-Up and Top-Down Paradigm for Joint Image Deraining and Segmentation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Clustering Approach to Solve Hierarchical Classification Problem Complexity |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
4 |
| Clustering Interval-Censored Time-Series for Disease Phenotyping |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Co-promotion Predictions of Financing Market and Sales Market: A Cooperative-Competitive Attention Approach |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| CoCoS: Enhancing Semi-supervised Learning on Graphs with Unlabeled Data via Contrastive Context Sharing |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Coarse-to-Fine Embedded PatchMatch and Multi-Scale Dynamic Aggregation for Reference-Based Super-resolution |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Coarse-to-Fine Generative Modeling for Graphic Layouts |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Combating Adversaries with Anti-adversaries |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Combating Collusion Rings Is Hard but Possible |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
✅ |
5 |
| Competing Mutual Information Constraints with Stochastic Competition-Based Activations for Learning Diversified Representations |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
❌ |
2 |
| Competing for Resources: Estimating Adversary Strategy for Effective Plan Generation |
✅ |
✅ |
❌ |
❌ |
✅ |
❌ |
❌ |
3 |
| Compilation of Aggregates in ASP Systems |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Complementary Attention Gated Network for Pedestrian Trajectory Prediction |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Complexity of Deliberative Coalition Formation |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Comprehensive Regularization in a Bi-directional Predictive Network for Video Anomaly Detection |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Computing Diverse Shortest Paths Efficiently: A Theoretical and Experimental Study |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Concentration Network for Reinforcement Learning of Large-Scale Multi-Agent Systems |
❌ |
✅ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| Conditional Abstract Dialectical Frameworks |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Conditional Generative Model Based Predicate-Aware Query Approximation |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Conditional Local Convolution for Spatio-Temporal Meteorological Forecasting |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Conditional Loss and Deep Euler Scheme for Time Series Generation |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Confidence Calibration for Intent Detection via Hyperspherical Space and Rebalanced Accuracy-Uncertainty Loss |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Conjugated Discrete Distributions for Distributional Reinforcement Learning |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Conservative and Adaptive Penalty for Model-Based Safe Reinforcement Learning |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Consistency Regularization for Adversarial Robustness |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Constrained Prescriptive Trees via Column Generation |
❌ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
4 |
| Constraint Sampling Reinforcement Learning: Incorporating Expertise for Faster Learning |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Constraint-Driven Explanations for Black-Box ML Models |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Constraints Penalized Q-learning for Safe Offline Reinforcement Learning |
✅ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
3 |
| Construct Effective Geometry Aware Feature Pyramid Network for Multi-Scale Object Detection |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Contact-Distil: Boosting Low Homologous Protein Contact Map Prediction by Self-Supervised Distillation |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Content-Variant Reference Image Quality Assessment via Knowledge Distillation |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Context Uncertainty in Contextual Bandits with Applications to Recommender Systems |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Context-Aware Health Event Prediction via Transition Functions on Dynamic Disease Graphs |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| Context-Aware Transfer Attacks for Object Detection |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Context-Based Contrastive Learning for Scene Text Recognition |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
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4 |
| Context-Specific Representation Abstraction for Deep Option Learning |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Continual Learning through Retrieval and Imagination |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Contrast and Generation Make BART a Good Dialogue Emotion Recognizer |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
4 |
| Contrast-Enhanced Semi-supervised Text Classification with Few Labels |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| ContrastNet: A Contrastive Learning Framework for Few-Shot Text Classification |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
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4 |
| Contrastive Instruction-Trajectory Learning for Vision-Language Navigation |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
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5 |
| Contrastive Learning from Extremely Augmented Skeleton Sequences for Self-Supervised Action Recognition |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
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4 |
| Contrastive Quantization with Code Memory for Unsupervised Image Retrieval |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
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3 |
| Contrastive Spatio-Temporal Pretext Learning for Self-Supervised Video Representation |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
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4 |
| Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Controlling Underestimation Bias in Reinforcement Learning via Quasi-median Operation |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Convergence and Optimality of Policy Gradient Methods in Weakly Smooth Settings |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Convolutional Neural Network Compression through Generalized Kronecker Product Decomposition |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
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3 |
| Cooperative Multi-Agent Fairness and Equivariant Policies |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Coordinate Descent on the Orthogonal Group for Recurrent Neural Network Training |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
3 |
| Coordinating Followers to Reach Better Equilibria: End-to-End Gradient Descent for Stackelberg Games |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Coordinating Momenta for Cross-Silo Federated Learning |
✅ |
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✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Correlation Field for Boosting 3D Object Detection in Structured Scenes |
❌ |
❌ |
✅ |
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✅ |
❌ |
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3 |
| Cosine Model Watermarking against Ensemble Distillation |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
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7 |
| Covered Information Disentanglement: Model Transparency via Unbiased Permutation Importance |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Creativity of AI: Automatic Symbolic Option Discovery for Facilitating Deep Reinforcement Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Cross-Dataset Collaborative Learning for Semantic Segmentation in Autonomous Driving |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Cross-Domain Collaborative Normalization via Structural Knowledge |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Cross-Domain Empirical Risk Minimization for Unbiased Long-Tailed Classification |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Cross-Domain Few-Shot Graph Classification |
✅ |
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✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Cross-Lingual Adversarial Domain Adaptation for Novice Programming |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| Cross-Modal Coherence for Text-to-Image Retrieval |
❌ |
✅ |
✅ |
✅ |
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❌ |
3 |
| Cross-Modal Federated Human Activity Recognition via Modality-Agnostic and Modality-Specific Representation Learning |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Cross-Modal Mutual Learning for Audio-Visual Speech Recognition and Manipulation |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Cross-Modal Object Tracking: Modality-Aware Representations and a Unified Benchmark |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Cross-Species 3D Face Morphing via Alignment-Aware Controller |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Cross-Task Knowledge Distillation in Multi-Task Recommendation |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Curiosity-Driven Exploration via Latent Bayesian Surprise |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| DANets: Deep Abstract Networks for Tabular Data Classification and Regression |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| DCAN: Improving Temporal Action Detection via Dual Context Aggregation |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| DDGCN: Dual Dynamic Graph Convolutional Networks for Rumor Detection on Social Media |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| DIRL: Domain-Invariant Representation Learning for Generalizable Semantic Segmentation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| DKPLM: Decomposable Knowledge-Enhanced Pre-trained Language Model for Natural Language Understanding |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| DMN4: Few-Shot Learning via Discriminative Mutual Nearest Neighbor Neural Network |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| DOC2PPT: Automatic Presentation Slides Generation from Scientific Documents |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| DPCD: Discrete Principal Coordinate Descent for Binary Variable Problems |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| DPNAS: Neural Architecture Search for Deep Learning with Differential Privacy |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| DanceFormer: Music Conditioned 3D Dance Generation with Parametric Motion Transformer |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| DarkVisionNet: Low-Light Imaging via RGB-NIR Fusion with Deep Inconsistency Prior |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| DeTarNet: Decoupling Translation and Rotation by Siamese Network for Point Cloud Registration |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Debiased Batch Normalization via Gaussian Process for Generalizable Person Re-identification |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Debiasing NLU Models via Causal Intervention and Counterfactual Reasoning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Decentralized Mean Field Games |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Deceptive Decision-Making under Uncertainty |
❌ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
4 |
| Deciding Unsolvability in Temporal Planning under Action Non-Self-Overlapping |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Decision-Dependent Risk Minimization in Geometrically Decaying Dynamic Environments |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Decompose the Sounds and Pixels, Recompose the Events |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Deconfounded Visual Grounding |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Deconfounding Physical Dynamics with Global Causal Relation and Confounder Transmission for Counterfactual Prediction |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| Deconvolutional Density Network: Modeling Free-Form Conditional Distributions |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Deep Amortized Relational Model with Group-Wise Hierarchical Generative Process |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Deep Clustering of Text Representations for Supervision-Free Probing of Syntax |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Deep Confidence Guided Distance for 3D Partial Shape Registration |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Deep Fusing Pre-trained Models into Neural Machine Translation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Deep Graph Clustering via Dual Correlation Reduction |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Deep Implicit Statistical Shape Models for 3D Medical Image Delineation |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Deep Incomplete Multi-View Clustering via Mining Cluster Complementarity |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Deep Neural Networks Learn Meta-Structures from Noisy Labels in Semantic Segmentation |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Deep One-Class Classification via Interpolated Gaussian Descriptor |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Deep Recurrent Neural Network with Multi-Scale Bi-directional Propagation for Video Deblurring |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Deep Reinforcement Learning Policies Learn Shared Adversarial Features across MDPs |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Deep Spatial Adaptive Network for Real Image Demosaicing |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Deep Translation Prior: Test-Time Training for Photorealistic Style Transfer |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Deep Unsupervised Hashing with Latent Semantic Components |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| DeepAuth: A DNN Authentication Framework by Model-Unique and Fragile Signature Embedding |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| DeepGPD: A Deep Learning Approach for Modeling Geospatio-Temporal Extreme Events |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| DeepHardMark: Towards Watermarking Neural Network Hardware |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| DeepStochLog: Neural Stochastic Logic Programming |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| DeepThermal: Combustion Optimization for Thermal Power Generating Units Using Offline Reinforcement Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| DeepType 2: Superhuman Entity Linking, All You Need Is Type Interactions |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| DeepVisualInsight: Time-Travelling Visualization for Spatio-Temporal Causality of Deep Classification Training |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Deepfake Network Architecture Attribution |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Deeply Tensor Compressed Transformers for End-to-End Object Detection |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Defending Graph Convolutional Networks against Dynamic Graph Perturbations via Bayesian Self-Supervision |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Defending against Model Stealing via Verifying Embedded External Features |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| DeformRS: Certifying Input Deformations with Randomized Smoothing |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Deformable Graph Convolutional Networks |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Deformable Part Region Learning for Object Detection |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Degrade Is Upgrade: Learning Degradation for Low-Light Image Enhancement |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Delving into Probabilistic Uncertainty for Unsupervised Domain Adaptive Person Re-identification |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Delving into Sample Loss Curve to Embrace Noisy and Imbalanced Data |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Delving into the Local: Dynamic Inconsistency Learning for DeepFake Video Detection |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Demystifying Why Local Aggregation Helps: Convergence Analysis of Hierarchical SGD |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Denoised Maximum Classifier Discrepancy for Source-Free Unsupervised Domain Adaptation |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| DetIE: Multilingual Open Information Extraction Inspired by Object Detection |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Detail-Preserving Transformer for Light Field Image Super-resolution |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Detailed Facial Geometry Recovery from Multi-View Images by Learning an Implicit Function |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Detecting Human-Object Interactions with Object-Guided Cross-Modal Calibrated Semantics |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Detecting Misclassification Errors in Neural Networks with a Gaussian Process Model |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
3 |
| Deterministic and Discriminative Imitation (D2-Imitation): Revisiting Adversarial Imitation for Sample Efficiency |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| DiPS: Differentiable Policy for Sketching in Recommender Systems |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
4 |
| Diaformer: Automatic Diagnosis via Symptoms Sequence Generation |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Diagnostics-Guided Explanation Generation |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Differential Assessment of Black-Box AI Agents |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Differentially Describing Groups of Graphs |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
❌ |
4 |
| Differentially Private Normalizing Flows for Synthetic Tabular Data Generation |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Differentially Private Regret Minimization in Episodic Markov Decision Processes |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Dimensionality and Coordination in Voting: The Distortion of STV |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Directed Graph Auto-Encoders |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Discovering Interpretable Data-to-Sequence Generators |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Discovering State and Action Abstractions for Generalized Task and Motion Planning |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| DisenCite: Graph-Based Disentangled Representation Learning for Context-Specific Citation Generation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Disentangled Spatiotemporal Graph Generative Models |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Dist2Cycle: A Simplicial Neural Network for Homology Localization |
❌ |
✅ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| Distillation of RL Policies with Formal Guarantees via Variational Abstraction of Markov Decision Processes |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Distinguishing Homophenes Using Multi-Head Visual-Audio Memory for Lip Reading |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Distributed Learning with Strategic Users: A Repeated Game Approach |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Distributed Randomized Sketching Kernel Learning |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Distribution Aware VoteNet for 3D Object Detection |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Diverse, Global and Amortised Counterfactual Explanations for Uncertainty Estimates |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Divide-and-Regroup Clustering for Domain Adaptive Person Re-identification |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Do Feature Attribution Methods Correctly Attribute Features? |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Domain Disentangled Generative Adversarial Network for Zero-Shot Sketch-Based 3D Shape Retrieval |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Domain-Lifted Sampling for Universal Two-Variable Logic and Extensions |
✅ |
✅ |
❌ |
❌ |
✅ |
❌ |
❌ |
3 |
| DuMLP-Pin: A Dual-MLP-Dot-Product Permutation-Invariant Network for Set Feature Extraction |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Dual Attention Networks for Few-Shot Fine-Grained Recognition |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Dual Contrastive Learning for General Face Forgery Detection |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Dual Decoupling Training for Semi-supervised Object Detection with Noise-Bypass Head |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Dual Task Framework for Improving Persona-Grounded Dialogue Dataset |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Dynamic Key-Value Memory Enhanced Multi-Step Graph Reasoning for Knowledge-Based Visual Question Answering |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Dynamic Manifold Learning for Land Deformation Forecasting |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| Dynamic Nonlinear Matrix Completion for Time-Varying Data Imputation |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Dynamic Spatial Propagation Network for Depth Completion |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| ELMA: Energy-Based Learning for Multi-Agent Activity Forecasting |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| EMVLight: A Decentralized Reinforcement Learning Framework for Efficient Passage of Emergency Vehicles |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| ER: Equivariance Regularizer for Knowledge Graph Completion |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Early-Bird GCNs: Graph-Network Co-optimization towards More Efficient GCN Training and Inference via Drawing Early-Bird Lottery Tickets |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Edge-Aware Guidance Fusion Network for RGB–Thermal Scene Parsing |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| EditVAE: Unsupervised Parts-Aware Controllable 3D Point Cloud Shape Generation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Efficiency of Ad Auctions with Price Displaying |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Efficient Algorithms for General Isotone Optimization |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Efficient Causal Structure Learning from Multiple Interventional Datasets with Unknown Targets |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Efficient Compact Bilinear Pooling via Kronecker Product |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Efficient Continuous Control with Double Actors and Regularized Critics |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Efficient Decentralized Stochastic Gradient Descent Method for Nonconvex Finite-Sum Optimization Problems |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Efficient Device Scheduling with Multi-Job Federated Learning |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
❌ |
3 |
| Efficient Dialog Policy Learning by Reasoning with Contextual Knowledge |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
2 |
| Efficient Encoding of Cost Optimal Delete-Free Planning as SAT |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
✅ |
3 |
| Efficient Model-Driven Network for Shadow Removal |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Efficient Non-local Contrastive Attention for Image Super-resolution |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Efficient One-Pass Multi-View Subspace Clustering with Consensus Anchors |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| Efficient Optimal Transport Algorithm by Accelerated Gradient Descent |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Efficient Riemannian Meta-Optimization by Implicit Differentiation |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Efficient Robust Training via Backward Smoothing |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Efficient Vertex-Oriented Polytopic Projection for Web-Scale Applications |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
3 |
| Efficient Virtual View Selection for 3D Hand Pose Estimation |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Elastic-Link for Binarized Neural Networks |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Encoding Multi-Valued Decision Diagram Constraints as Binary Constraint Trees |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| End-to-End Learning the Partial Permutation Matrix for Robust 3D Point Cloud Registration |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| End-to-End Line Drawing Vectorization |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| End-to-End Probabilistic Label-Specific Feature Learning for Multi-Label Classification |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| End-to-End Transformer Based Model for Image Captioning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Energy-Based Generative Cooperative Saliency Prediction |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Enforcement Heuristics for Argumentation with Deep Reinforcement Learning |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Enhanced Story Comprehension for Large Language Models through Dynamic Document-Based Knowledge Graphs |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Enhancing Column Generation by a Machine-Learning-Based Pricing Heuristic for Graph Coloring |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| Enhancing Counterfactual Classification Performance via Self-Training |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Enhancing Pseudo Label Quality for Semi-supervised Domain-Generalized Medical Image Segmentation |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Ensemble Semi-supervised Entity Alignment via Cycle-Teaching |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Entailment Relation Aware Paraphrase Generation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Entropy Estimation via Normalizing Flow |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Entropy-Based Logic Explanations of Neural Networks |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Episodic Policy Gradient Training |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| EqGNN: Equalized Node Opportunity in Graphs |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Equal Bits: Enforcing Equally Distributed Binary Network Weights |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Equilibrium Finding in Normal-Form Games via Greedy Regret Minimization |
✅ |
✅ |
❌ |
❌ |
✅ |
❌ |
✅ |
4 |
| Equity Promotion in Online Resource Allocation |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Equivalence in Argumentation Frameworks with a Claim-Centric View – Classical Results with Novel Ingredients |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| ErfAct and Pserf: Non-monotonic Smooth Trainable Activation Functions |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Error-Based Knockoffs Inference for Controlled Feature Selection |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Estimation of Local Average Treatment Effect by Data Combination |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| EtinyNet: Extremely Tiny Network for TinyML |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Event-Aware Multimodal Mobility Nowcasting |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Event-Image Fusion Stereo Using Cross-Modality Feature Propagation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Evidential Neighborhood Contrastive Learning for Universal Domain Adaptation |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Explain, Edit, and Understand: Rethinking User Study Design for Evaluating Model Explanations |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Explainable Metaphor Identification Inspired by Conceptual Metaphor Theory |
❌ |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
5 |
| Explainable Planner Selection for Classical Planning |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Explainable Survival Analysis with Convolution-Involved Vision Transformer |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Explainable and Local Correction of Classification Models Using Decision Trees |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Exploiting Fine-Grained Face Forgery Clues via Progressive Enhancement Learning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Exploiting Invariance in Training Deep Neural Networks |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Exploiting Mixed Unlabeled Data for Detecting Samples of Seen and Unseen Out-of-Distribution Classes |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Explore Inter-contrast between Videos via Composition for Weakly Supervised Temporal Sentence Grounding |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Exploring Motion and Appearance Information for Temporal Sentence Grounding |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Exploring Relational Semantics for Inductive Knowledge Graph Completion |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Exploring Safer Behaviors for Deep Reinforcement Learning |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
❌ |
3 |
| Exploring Visual Context for Weakly Supervised Person Search |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
✅ |
5 |
| Expressivity of Planning with Horn Description Logic Ontologies |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Extended Goal Recognition Design with First-Order Computation Tree Logic |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Eye of the Beholder: Improved Relation Generalization for Text-Based Reinforcement Learning Agents |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| FCA: Learning a 3D Full-Coverage Vehicle Camouflage for Multi-View Physical Adversarial Attack |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| FFNet: Frequency Fusion Network for Semantic Scene Completion |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| FINet: Dual Branches Feature Interaction for Partial-to-Partial Point Cloud Registration |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| FInfer: Frame Inference-Based Deepfake Detection for High-Visual-Quality Videos |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| FOCUS: Flexible Optimizable Counterfactual Explanations for Tree Ensembles |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| FPAdaMetric: False-Positive-Aware Adaptive Metric Learning for Session-Based Recommendation |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| FactorVAE: A Probabilistic Dynamic Factor Model Based on Variational Autoencoder for Predicting Cross-Sectional Stock Returns |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| Fair and Efficient Allocations of Chores under Bivalued Preferences |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Fair and Truthful Giveaway Lotteries |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
✅ |
3 |
| Fast Approximations for Job Shop Scheduling: A Lagrangian Dual Deep Learning Method |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Fast Graph Neural Tangent Kernel via Kronecker Sketching |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Fast Monte-Carlo Approximation of the Attention Mechanism |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Fast Payoff Matrix Sparsification Techniques for Structured Extensive-Form Games |
❌ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
2 |
| Fast Sparse Decision Tree Optimization via Reference Ensembles |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Fast and Constrained Absent Keyphrase Generation by Prompt-Based Learning |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Fast and Data Efficient Reinforcement Learning from Pixels via Non-parametric Value Approximation |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Fast and Efficient MMD-Based Fair PCA via Optimization over Stiefel Manifold |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
6 |
| Fast and More Powerful Selective Inference for Sparse High-Order Interaction Model |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Fast and Robust Online Inference with Stochastic Gradient Descent via Random Scaling |
✅ |
✅ |
❌ |
❌ |
✅ |
❌ |
✅ |
4 |
| Faster Algorithms for Weak Backdoors |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Feature Distillation Interaction Weighting Network for Lightweight Image Super-resolution |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Feature Generation and Hypothesis Verification for Reliable Face Anti-spoofing |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Feature Importance Explanations for Temporal Black-Box Models |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| FedFR: Joint Optimization Federated Framework for Generic and Personalized Face Recognition |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| FedInv: Byzantine-Robust Federated Learning by Inversing Local Model Updates |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| FedProto: Federated Prototype Learning across Heterogeneous Clients |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| FedSoft: Soft Clustered Federated Learning with Proximal Local Updating |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Federated Dynamic Sparse Training: Computing Less, Communicating Less, Yet Learning Better |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Federated Learning for Face Recognition with Gradient Correction |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Federated Nearest Neighbor Classification with a Colony of Fruit-Flies |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Feedback Gradient Descent: Efficient and Stable Optimization with Orthogonality for DNNs |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-training |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Finding Backdoors to Integer Programs: A Monte Carlo Tree Search Framework |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
✅ |
4 |
| Finding Nontrivial Minimum Fixed Points in Discrete Dynamical Systems: Complexity, Special Case Algorithms and Heuristics |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| Finite Entailment of Local Queries in the Z Family of Description Logics |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| First Order Rewritability in Ontology-Mediated Querying in Horn Description Logics |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| First-Order Convex Fitting and Its Application to Economics and Optimization |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| FisheyeHDK: Hyperbolic Deformable Kernel Learning for Ultra-Wide Field-of-View Image Recognition |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Fixation Maximization in the Positional Moran Process |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Flex Distribution for Bounded-Suboptimal Multi-Agent Path Finding |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Flexible Instance-Specific Rationalization of NLP Models |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Flow-Based Unconstrained Lip to Speech Generation |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Forecasting Asset Dependencies to Reduce Portfolio Risk |
❌ |
❌ |
❌ |
✅ |
✅ |
❌ |
✅ |
3 |
| Formal Semantics and Formally Verified Validation for Temporal Planning |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
3 |
| Formula Synthesis in Propositional Dynamic Logic with Shuffle |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Fortunately, Discourse Markers Can Enhance Language Models for Sentiment Analysis |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Fourier Representations for Black-Box Optimization over Categorical Variables |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Fractional Adaptive Linear Units |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| FrePGAN: Robust Deepfake Detection Using Frequency-Level Perturbations |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Frequency-Aware Contrastive Learning for Neural Machine Translation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| From Actions to Programs as Abstract Actual Causes |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| From Dense to Sparse: Contrastive Pruning for Better Pre-trained Language Model Compression |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| From Fully Trained to Fully Random Embeddings: Improving Neural Machine Translation with Compact Word Embedding Tables |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| From Good to Best: Two-Stage Training for Cross-Lingual Machine Reading Comprehension |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| From One to All: Learning to Match Heterogeneous and Partially Overlapped Graphs |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Frozen Pretrained Transformers as Universal Computation Engines |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Fully Adaptive Framework: Neural Computerized Adaptive Testing for Online Education |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Fully Attentional Network for Semantic Segmentation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Fully Spiking Variational Autoencoder |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Fusing Task-Oriented and Open-Domain Dialogues in Conversational Agents |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Fusion Multiple Kernel K-means |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Fuzzy Logic Based Logical Query Answering on Knowledge Graphs |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| GALAXY: A Generative Pre-trained Model for Task-Oriented Dialog with Semi-supervised Learning and Explicit Policy Injection |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| GEQCA: Generic Qualitative Constraint Acquisition |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| GNN-Retro: Retrosynthetic Planning with Graph Neural Networks |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Gaussian Process Bandits with Aggregated Feedback |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
3 |
| GearNet: Stepwise Dual Learning for Weakly Supervised Domain Adaptation |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| GenCo: Generative Co-training for Generative Adversarial Networks with Limited Data |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Generalizable Person Re-identification via Self-Supervised Batch Norm Test-Time Adaption |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Generalization in Mean Field Games by Learning Master Policies |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Generalized Dynamic Cognitive Hierarchy Models for Strategic Driving Behavior |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Generalized Equivariance and Preferential Labeling for GNN Node Classification |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Generalized Stochastic Matching |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Generalizing Reinforcement Learning through Fusing Self-Supervised Learning into Intrinsic Motivation |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Generation-Focused Table-Based Intermediate Pre-training for Free-Form Question Answering |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Generative Adaptive Convolutions for Real-World Noisy Image Denoising |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
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4 |
| GeomGCL: Geometric Graph Contrastive Learning for Molecular Property Prediction |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
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5 |
| Geometry Interaction Knowledge Graph Embeddings |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
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4 |
| Geometry-Contrastive Transformer for Generalized 3D Pose Transfer |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
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3 |
| Globally Optimal Hierarchical Reinforcement Learning for Linearly-Solvable Markov Decision Processes |
✅ |
✅ |
✅ |
❌ |
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✅ |
4 |
| Go Wider Instead of Deeper |
❌ |
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✅ |
❌ |
✅ |
✅ |
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4 |
| GoTube: Scalable Statistical Verification of Continuous-Depth Models |
✅ |
✅ |
❌ |
❌ |
✅ |
❌ |
❌ |
3 |
| Goal Recognition as Reinforcement Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Gradient Based Activations for Accurate Bias-Free Learning |
❌ |
❌ |
✅ |
✅ |
❌ |
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✅ |
3 |
| Gradient Flow in Sparse Neural Networks and How Lottery Tickets Win |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Gradient Temporal Difference with Momentum: Stability and Convergence |
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❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Gradient-Based Novelty Detection Boosted by Self-Supervised Binary Classification |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
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5 |
| Graph Convolutional Networks with Dual Message Passing for Subgraph Isomorphism Counting and Matching |
❌ |
❌ |
✅ |
✅ |
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3 |
| Graph Filtration Kernels |
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✅ |
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✅ |
❌ |
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3 |
| Graph Neural Controlled Differential Equations for Traffic Forecasting |
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✅ |
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5 |
| Graph Pointer Neural Networks |
✅ |
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4 |
| Graph Structure Learning with Variational Information Bottleneck |
✅ |
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✅ |
❌ |
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5 |
| Graph Transplant: Node Saliency-Guided Graph Mixup with Local Structure Preservation |
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4 |
| Graph-Based Point Tracker for 3D Object Tracking in Point Clouds |
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❌ |
✅ |
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❌ |
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3 |
| Graph-Wise Common Latent Factor Extraction for Unsupervised Graph Representation Learning |
❌ |
✅ |
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3 |
| GraphMemDialog: Optimizing End-to-End Task-Oriented Dialog Systems Using Graph Memory Networks |
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❌ |
✅ |
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4 |
| Group-Aware Threshold Adaptation for Fair Classification |
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✅ |
❌ |
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❌ |
❌ |
1 |
| Guide Local Feature Matching by Overlap Estimation |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
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5 |
| GuidedMix-Net: Semi-supervised Semantic Segmentation by Using Labeled Images as Reference |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
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4 |
| HAGEN: Homophily-Aware Graph Convolutional Recurrent Network for Crime Forecasting |
❌ |
✅ |
✅ |
✅ |
❌ |
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✅ |
4 |
| HEAL: A Knowledge Graph for Distress Management Conversations |
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4 |
| HNO: High-Order Numerical Architecture for ODE-Inspired Deep Unfolding Networks |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| H^2-MIL: Exploring Hierarchical Representation with Heterogeneous Multiple Instance Learning for Whole Slide Image Analysis |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Handling Slice Permutations Variability in Tensor Recovery |
✅ |
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✅ |
❌ |
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❌ |
✅ |
3 |
| Handwritten Mathematical Expression Recognition via Attention Aggregation Based Bi-directional Mutual Learning |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Hard to Forget: Poisoning Attacks on Certified Machine Unlearning |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
3 |
| HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Hedonic Diversity Games: A Complexity Picture with More than Two Colors |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Hedonic Games with Fixed-Size Coalitions |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Heterogeneity-Aware Twitter Bot Detection with Relational Graph Transformers |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Heterogeneous Facility Location with Limited Resources |
✅ |
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❌ |
❌ |
❌ |
❌ |
1 |
| Heterogeneous Peer Effects in the Linear Threshold Model |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| HiTKG: Towards Goal-Oriented Conversations via Multi-Hierarchy Learning |
❌ |
❌ |
✅ |
✅ |
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❌ |
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4 |
| Hibernated Backdoor: A Mutual Information Empowered Backdoor Attack to Deep Neural Networks |
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✅ |
❌ |
❌ |
❌ |
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3 |
| Hierarchical Context Tagging for Utterance Rewriting |
✅ |
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✅ |
✅ |
❌ |
❌ |
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5 |
| Hierarchical Cross-Modality Semantic Correlation Learning Model for Multimodal Summarization |
❌ |
❌ |
✅ |
✅ |
✅ |
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4 |
| Hierarchical Heterogeneous Graph Attention Network for Syntax-Aware Summarization |
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✅ |
✅ |
❌ |
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3 |
| Hierarchical Image Generation via Transformer-Based Sequential Patch Selection |
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✅ |
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3 |
| Hierarchical Multi-Supervision Multi-Interaction Graph Attention Network for Multi-Camera Pedestrian Trajectory Prediction |
❌ |
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✅ |
✅ |
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❌ |
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5 |
| Highlighting Object Category Immunity for the Generalization of Human-Object Interaction Detection |
❌ |
✅ |
✅ |
✅ |
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❌ |
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5 |
| Hindsight Network Credit Assignment: Efficient Credit Assignment in Networks of Discrete Stochastic Units |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
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4 |
| HoD-Net: High-Order Differentiable Deep Neural Networks and Applications |
✅ |
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3 |
| Homography Decomposition Networks for Planar Object Tracking |
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4 |
| Homomorphisms of Lifted Planning Tasks: The Case for Delete-Free Relaxation Heuristics |
❌ |
✅ |
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❌ |
✅ |
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4 |
| How Does Knowledge Graph Embedding Extrapolate to Unseen Data: A Semantic Evidence View |
❌ |
✅ |
✅ |
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❌ |
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3 |
| How General-Purpose Is a Language Model? Usefulness and Safety with Human Prompters in the Wild |
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3 |
| How Good Are Low-Rank Approximations in Gaussian Process Regression? |
❌ |
❌ |
✅ |
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2 |
| How Many Representatives Do We Need? The Optimal Size of a Congress Voting on Binary Issues |
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3 |
| How Private Is Your RL Policy? An Inverse RL Based Analysis Framework |
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2 |
| How to Distribute Data across Tasks for Meta-Learning? |
❌ |
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3 |
| How to Find a Good Explanation for Clustering? |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Hybrid Autoregressive Inference for Scalable Multi-Hop Explanation Regeneration |
❌ |
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✅ |
✅ |
✅ |
❌ |
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5 |
| Hybrid Curriculum Learning for Emotion Recognition in Conversation |
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4 |
| Hybrid Graph Neural Networks for Few-Shot Learning |
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3 |
| Hybrid Instance-Aware Temporal Fusion for Online Video Instance Segmentation |
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❌ |
✅ |
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3 |
| Hybrid Neural Networks for On-Device Directional Hearing |
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4 |
| Hyperbolic Disentangled Representation for Fine-Grained Aspect Extraction |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
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3 |
| Hypergraph Modeling via Spectral Embedding Connection: Hypergraph Cut, Weighted Kernel k-Means, and Heat Kernel |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
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4 |
| Hyperverlet: A Symplectic Hypersolver for Hamiltonian Systems |
❌ |
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❌ |
✅ |
✅ |
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4 |
| I Can Find You! Boundary-Guided Separated Attention Network for Camouflaged Object Detection |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
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5 |
| I-SEA: Importance Sampling and Expected Alignment-Based Deep Distance Metric Learning for Time Series Analysis and Embedding |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
4 |
| ISEEQ: Information Seeking Question Generation Using Dynamic Meta-Information Retrieval and Knowledge Graphs |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
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5 |
| Identifiability of Linear AMP Chain Graph Models |
✅ |
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✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| Identification of Linear Latent Variable Model with Arbitrary Distribution |
✅ |
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✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Idiomatic Expression Paraphrasing without Strong Supervision |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Image Difference Captioning with Pre-training and Contrastive Learning |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
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4 |
| Image-Adaptive YOLO for Object Detection in Adverse Weather Conditions |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Imagine by Reasoning: A Reasoning-Based Implicit Semantic Data Augmentation for Long-Tailed Classification |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
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4 |
| Imbalance-Aware Uplift Modeling for Observational Data |
✅ |
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✅ |
❌ |
❌ |
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3 |
| Implicit Gradient Alignment in Distributed and Federated Learning |
✅ |
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✅ |
❌ |
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4 |
| Improved Gradient-Based Adversarial Attacks for Quantized Networks |
✅ |
✅ |
✅ |
❌ |
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❌ |
✅ |
4 |
| Improved Maximin Guarantees for Subadditive and Fractionally Subadditive Fair Allocation Problem |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Improved Text Classification via Contrastive Adversarial Training |
❌ |
❌ |
✅ |
✅ |
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❌ |
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4 |
| Improving 360 Monocular Depth Estimation via Non-local Dense Prediction Transformer and Joint Supervised and Self-Supervised Learning |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
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1 |
| Improving Bayesian Neural Networks by Adversarial Sampling |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
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4 |
| Improving Biomedical Information Retrieval with Neural Retrievers |
❌ |
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❌ |
❌ |
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✅ |
3 |
| Improving Evidential Deep Learning via Multi-Task Learning |
❌ |
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✅ |
✅ |
❌ |
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3 |
| Improving Human-Object Interaction Detection via Phrase Learning and Label Composition |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
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2 |
| Improving Local Search Algorithms via Probabilistic Configuration Checking |
✅ |
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✅ |
❌ |
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❌ |
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4 |
| Improving Neural Cross-Lingual Abstractive Summarization via Employing Optimal Transport Distance for Knowledge Distillation |
✅ |
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✅ |
✅ |
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❌ |
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5 |
| Improving Scene Graph Classification by Exploiting Knowledge from Texts |
✅ |
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3 |
| Improving Zero-Shot Phrase Grounding via Reasoning on External Knowledge and Spatial Relations |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
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3 |
| Incentivizing Collaboration in Machine Learning via Synthetic Data Rewards |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Incomplete Argumentation Frameworks: Properties and Complexity |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Inconsistent Planning: When in Doubt, Toss a Coin! |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Incorporating Constituent Syntax for Coreference Resolution |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Incorporating Item Frequency for Differentially Private Set Union |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Individual Representation in Approval-Based Committee Voting |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Inductive Relation Prediction by BERT |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Inference and Learning with Model Uncertainty in Probabilistic Logic Programs |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
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4 |
| Inferring Lexicographically-Ordered Rewards from Preferences |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Inferring Prototypes for Multi-Label Few-Shot Image Classification with Word Vector Guided Attention |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| InfoLM: A New Metric to Evaluate Summarization & Data2Text Generation |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Information-Theoretic Bias Reduction via Causal View of Spurious Correlation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
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4 |
| Inharmonious Region Localization by Magnifying Domain Discrepancy |
❌ |
❌ |
✅ |
❌ |
✅ |
✅ |
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4 |
| Input-Specific Robustness Certification for Randomized Smoothing |
✅ |
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✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| InsCLR: Improving Instance Retrieval with Self-Supervision |
❌ |
✅ |
✅ |
✅ |
❌ |
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4 |
| Instance Selection: A Bayesian Decision Theory Perspective |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Instance-Sensitive Algorithms for Pure Exploration in Multinomial Logit Bandit |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Interact, Embed, and EnlargE: Boosting Modality-Specific Representations for Multi-Modal Person Re-identification |
❌ |
❌ |
✅ |
✅ |
✅ |
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4 |
| Interpretable Clustering via Multi-Polytope Machines |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
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3 |
| Interpretable Domain Adaptation for Hidden Subdomain Alignment in the Context of Pre-trained Source Models |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Interpretable Generative Adversarial Networks |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Interpretable Neural Subgraph Matching for Graph Retrieval |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Interventional Multi-Instance Learning with Deconfounded Instance-Level Prediction |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Intra-Inter Subject Self-Supervised Learning for Multivariate Cardiac Signals |
✅ |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| Introducing Symmetries to Black Box Meta Reinforcement Learning |
✅ |
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3 |
| Invariant Action Effect Model for Reinforcement Learning |
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3 |
| Invariant Information Bottleneck for Domain Generalization |
❌ |
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4 |
| Is Discourse Role Important for Emotion Recognition in Conversation? |
❌ |
❌ |
✅ |
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3 |
| Is There a Strongest Die in a Set of Dice with the Same Mean Pips? |
✅ |
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❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| Is Your Data Relevant?: Dynamic Selection of Relevant Data for Federated Learning |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Iterative Calculus of Voting under Plurality |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
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4 |
| Iterative Contrast-Classify for Semi-supervised Temporal Action Segmentation |
❌ |
❌ |
✅ |
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❌ |
❌ |
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2 |
| Iteratively Selecting an Easy Reference Frame Makes Unsupervised Video Object Segmentation Easier |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
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3 |
| JAKET: Joint Pre-training of Knowledge Graph and Language Understanding |
❌ |
❌ |
✅ |
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❌ |
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4 |
| JFB: Jacobian-Free Backpropagation for Implicit Networks |
✅ |
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✅ |
❌ |
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4 |
| JPV-Net: Joint Point-Voxel Representations for Accurate 3D Object Detection |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Joint 3D Object Detection and Tracking Using Spatio-Temporal Representation of Camera Image and LiDAR Point Clouds |
❌ |
❌ |
✅ |
✅ |
❌ |
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3 |
| Joint Deep Multi-Graph Matching and 3D Geometry Learning from Inhomogeneous 2D Image Collections |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Joint Human Pose Estimation and Instance Segmentation with PosePlusSeg |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| KAM Theory Meets Statistical Learning Theory: Hamiltonian Neural Networks with Non-zero Training Loss |
❌ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
2 |
| KATG: Keyword-Bias-Aware Adversarial Text Generation for Text Classification |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| KGR4: Retrieval, Retrospect, Refine and Rethink for Commonsense Generation |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| KID-Review: Knowledge-Guided Scientific Review Generation with Oracle Pre-training |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| KOALA: A Kalman Optimization Algorithm with Loss Adaptivity |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| KerGNNs: Interpretable Graph Neural Networks with Graph Kernels |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Keypoint Message Passing for Video-Based Person Re-identification |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Knowledge Bridging for Empathetic Dialogue Generation |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Knowledge Compilation Meets Logical Separability |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Knowledge Distillation for Object Detection via Rank Mimicking and Prediction-Guided Feature Imitation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Knowledge Distillation via Constrained Variational Inference |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| L-CoDe:Language-Based Colorization Using Color-Object Decoupled Conditions |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| LAGConv: Local-Context Adaptive Convolution Kernels with Global Harmonic Bias for Pansharpening |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| LCTR: On Awakening the Local Continuity of Transformer for Weakly Supervised Object Localization |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| LGD: Label-Guided Self-Distillation for Object Detection |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| LOGICDEF: An Interpretable Defense Framework against Adversarial Examples via Inductive Scene Graph Reasoning |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| LOREN: Logic-Regularized Reasoning for Interpretable Fact Verification |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| LUNA: Localizing Unfamiliarity Near Acquaintance for Open-Set Long-Tailed Recognition |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| LaSSL: Label-Guided Self-Training for Semi-supervised Learning |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Label Hallucination for Few-Shot Classification |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Label-Efficient Hybrid-Supervised Learning for Medical Image Segmentation |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Laneformer: Object-Aware Row-Column Transformers for Lane Detection |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Language Model Priming for Cross-Lingual Event Extraction |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Language Modelling via Learning to Rank |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Large-Neighbourhood Search for Optimisation in Answer-Set Solving |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| Latent Space Explanation by Intervention |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Latent Time Neural Ordinary Differential Equations |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
3 |
| LeSICiN: A Heterogeneous Graph-Based Approach for Automatic Legal Statute Identification from Indian Legal Documents |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Leaping through Time with Gradient-Based Adaptation for Recommendation |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Learn Goal-Conditioned Policy with Intrinsic Motivation for Deep Reinforcement Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Learngene: From Open-World to Your Learning Task |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Learning Action Translator for Meta Reinforcement Learning on Sparse-Reward Tasks |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Learning Adversarial Markov Decision Processes with Delayed Feedback |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Learning Aligned Cross-Modal Representation for Generalized Zero-Shot Classification |
❌ |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
4 |
| Learning Auxiliary Monocular Contexts Helps Monocular 3D Object Detection |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Learning Bayesian Networks in the Presence of Structural Side Information |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Learning Bounded Context-Free-Grammar via LSTM and the Transformer: Difference and the Explanations |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Learning Disentangled Attribute Representations for Robust Pedestrian Attribute Recognition |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Learning Disentangled Classification and Localization Representations for Temporal Action Localization |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Learning Expected Emphatic Traces for Deep RL |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Learning Human Driving Behaviors with Sequential Causal Imitation Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Learning Influence Adoption in Heterogeneous Networks |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Learning Large DAGs by Combining Continuous Optimization and Feedback Arc Set Heuristics |
✅ |
❌ |
❌ |
✅ |
✅ |
✅ |
✅ |
5 |
| Learning Logic Programs Though Divide, Constrain, and Conquer |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Learning Losses for Strategic Classification |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Learning Mixture of Domain-Specific Experts via Disentangled Factors for Autonomous Driving |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
✅ |
3 |
| Learning Network Architecture for Open-Set Recognition |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Learning Not to Learn: Nature versus Nurture In Silico |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Learning Optical Flow with Adaptive Graph Reasoning |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Learning Parameterized Task Structure for Generalization to Unseen Entities |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Learning Probably Approximately Complete and Safe Action Models for Stochastic Worlds |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Learning Quality-Aware Representation for Multi-Person Pose Regression |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Learning Robust Policy against Disturbance in Transition Dynamics via State-Conservative Policy Optimization |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Learning Temporal Point Processes for Efficient Retrieval of Continuous Time Event Sequences |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
4 |
| Learning Temporally and Semantically Consistent Unpaired Video-to-Video Translation through Pseudo-Supervision from Synthetic Optical Flow |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Learning Token-Based Representation for Image Retrieval |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Learning Universal Adversarial Perturbation by Adversarial Example |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Learning Unseen Emotions from Gestures via Semantically-Conditioned Zero-Shot Perception with Adversarial Autoencoders |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Learning V1 Simple Cells with Vector Representation of Local Content and Matrix Representation of Local Motion |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Learning and Dynamical Models for Sub-seasonal Climate Forecasting: Comparison and Collaboration |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Learning by Competition of Self-Interested Reinforcement Learning Agents |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Learning from Label Proportions with Prototypical Contrastive Clustering |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Learning from Mistakes – a Framework for Neural Architecture Search |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Learning from Weakly-Labeled Web Videos via Exploring Sub-concepts |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Learning from the Dark: Boosting Graph Convolutional Neural Networks with Diverse Negative Samples |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Learning from the Tangram to Solve Mini Visual Tasks |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Learning from the Target: Dual Prototype Network for Few Shot Semantic Segmentation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Learning the Dynamics of Visual Relational Reasoning via Reinforced Path Routing |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Learning the Optimal Recommendation from Explorative Users |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Learning to Detect 3D Facial Landmarks via Heatmap Regression with Graph Convolutional Network |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Learning to Identify Top Elo Ratings: A Dueling Bandits Approach |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Learning to Learn Transferable Attack |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Learning to Model Pixel-Embedded Affinity for Homogeneous Instance Segmentation |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Learning to Predict 3D Lane Shape and Camera Pose from a Single Image via Geometry Constraints |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Learning to Search in Local Branching |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
6 |
| Learning to Solve Routing Problems via Distributionally Robust Optimization |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Learning to Solve Travelling Salesman Problem with Hardness-Adaptive Curriculum |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
3 |
| Learning to Transfer with von Neumann Conditional Divergence |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Learning to Walk with Dual Agents for Knowledge Graph Reasoning |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Learning-Augmented Algorithms for Online Steiner Tree |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Leashing the Inner Demons: Self-Detoxification for Language Models |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Less Is More: Pay Less Attention in Vision Transformers |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Lifelong Generative Modelling Using Dynamic Expansion Graph Model |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Lifelong Hyper-Policy Optimization with Multiple Importance Sampling Regularization |
✅ |
✅ |
❌ |
✅ |
❌ |
❌ |
✅ |
4 |
| Lifelong Person Re-identification by Pseudo Task Knowledge Preservation |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Linear-Time Verification of Data-Aware Dynamic Systems with Arithmetic |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Linearity-Aware Subspace Clustering |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Liquid Democracy with Ranked Delegations |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Listwise Learning to Rank Based on Approximate Rank Indicators |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Local Differential Privacy for Belief Functions |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Local Similarity Pattern and Cost Self-Reassembling for Deep Stereo Matching Networks |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Local Surface Descriptor for Geometry and Feature Preserved Mesh Denoising |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Local and Global Convergence of General Burer-Monteiro Tensor Optimizations |
✅ |
❌ |
❌ |
❌ |
✅ |
✅ |
✅ |
4 |
| Local and Global Linear Convergence of General Low-Rank Matrix Recovery Problems |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Locality Matters: A Scalable Value Decomposition Approach for Cooperative Multi-Agent Reinforcement Learning |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Locally Fair Partitioning |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Locally Private k-Means Clustering with Constant Multiplicative Approximation and Near-Optimal Additive Error |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Logic Rule Guided Attribution with Dynamic Ablation |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Logit Perturbation |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Low-Light Image Enhancement with Normalizing Flow |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Low-Pass Graph Convolutional Network for Recommendation |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Lower Bounds on Intermediate Results in Bottom-Up Knowledge Compilation |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| MAGIC: Multimodal relAtional Graph adversarIal inferenCe for Diverse and Unpaired Text-Based Image Captioning |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| MAPDP: Cooperative Multi-Agent Reinforcement Learning to Solve Pickup and Delivery Problems |
❌ |
❌ |
❌ |
❌ |
✅ |
✅ |
✅ |
3 |
| MAPF-LNS2: Fast Repairing for Multi-Agent Path Finding via Large Neighborhood Search |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| MDD-Eval: Self-Training on Augmented Data for Multi-Domain Dialogue Evaluation |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| MDPGT: Momentum-Based Decentralized Policy Gradient Tracking |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| MIA-Former: Efficient and Robust Vision Transformers via Multi-Grained Input-Adaptation |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| MINIMAL: Mining Models for Universal Adversarial Triggers |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| MIP-GNN: A Data-Driven Framework for Guiding Combinatorial Solvers |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
5 |
| MLink: Linking Black-Box Models for Collaborative Multi-Model Inference |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| MMA: Multi-Camera Based Global Motion Averaging |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| MODNet: Real-Time Trimap-Free Portrait Matting via Objective Decomposition |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| MS-HGAT: Memory-Enhanced Sequential Hypergraph Attention Network for Information Diffusion Prediction |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| MSML: Enhancing Occlusion-Robustness by Multi-Scale Segmentation-Based Mask Learning for Face Recognition |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| MTLDesc: Looking Wider to Describe Better |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Machine Learning for Online Algorithm Selection under Censored Feedback |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
❌ |
4 |
| Machine Learning for Utility Prediction in Argument-Based Computational Persuasion |
✅ |
✅ |
❌ |
✅ |
❌ |
❌ |
✅ |
4 |
| Machine-Learned Prediction Equilibrium for Dynamic Traffic Assignment |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Making Adversarial Examples More Transferable and Indistinguishable |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Making Translations to Classical Planning Competitive with Other HTN Planners |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Mastering the Explicit Opinion-Role Interaction: Syntax-Aided Neural Transition System for Unified Opinion Role Labeling |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Max-Margin Contrastive Learning |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Max-Min Grouped Bandits |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Maximizing Nash Social Welfare in 2-Value Instances |
✅ |
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❌ |
❌ |
❌ |
❌ |
1 |
| MeTeoR: Practical Reasoning in Datalog with Metric Temporal Operators |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| Memory-Based Jitter: Improving Visual Recognition on Long-Tailed Data with Diversity in Memory |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Memory-Guided Semantic Learning Network for Temporal Sentence Grounding |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Meta Faster R-CNN: Towards Accurate Few-Shot Object Detection with Attentive Feature Alignment |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| Meta Propagation Networks for Graph Few-shot Semi-supervised Learning |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Meta-Learning for Online Update of Recommender Systems |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| MetaNODE: Prototype Optimization as a Neural ODE for Few-Shot Learning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Mind the Gap: Cross-Lingual Information Retrieval with Hierarchical Knowledge Enhancement |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Minimally-Supervised Joint Learning of Event Volitionality and Subject Animacy Classification |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
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4 |
| Mitigating Reporting Bias in Semi-supervised Temporal Commonsense Inference with Probabilistic Soft Logic |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| MoCaNet: Motion Retargeting In-the-Wild via Canonicalization Networks |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| MobileFaceSwap: A Lightweight Framework for Video Face Swapping |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Modality-Adaptive Mixup and Invariant Decomposition for RGB-Infrared Person Re-identification |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Model Doctor: A Simple Gradient Aggregation Strategy for Diagnosing and Treating CNN Classifiers |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Model-Based Image Signal Processors via Learnable Dictionaries |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| Modeling Attrition in Recommender Systems with Departing Bandits |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Modification-Fair Cluster Editing |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Modify Self-Attention via Skeleton Decomposition for Effective Point Cloud Transformer |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Molecular Contrastive Learning with Chemical Element Knowledge Graph |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Monocular Camera-Based Point-Goal Navigation by Learning Depth Channel and Cross-Modality Pyramid Fusion |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Monotone Abstractions in Ontology-Based Data Management |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| MuMu: Cooperative Multitask Learning-Based Guided Multimodal Fusion |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| MuMuQA: Multimedia Multi-Hop News Question Answering via Cross-Media Knowledge Extraction and Grounding |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Multi-Agent Incentive Communication via Decentralized Teammate Modeling |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
❌ |
3 |
| Multi-Agent Reinforcement Learning with General Utilities via Decentralized Shadow Reward Actor-Critic |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Multi-Centroid Representation Network for Domain Adaptive Person Re-ID |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Multi-Dimensional Prediction of Guild Health in Online Games: A Stability-Aware Multi-Task Learning Approach |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
3 |
| Multi-Head Modularization to Leverage Generalization Capability in Multi-Modal Networks |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Multi-Knowledge Aggregation and Transfer for Semantic Segmentation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Multi-Leader Congestion Games with an Adversary |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Multi-Modal Answer Validation for Knowledge-Based VQA |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Multi-Modal Perception Attention Network with Self-Supervised Learning for Audio-Visual Speaker Tracking |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Multi-Mode Tensor Space Clustering Based on Low-Tensor-Rank Representation |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| Multi-Relational Graph Representation Learning with Bayesian Gaussian Process Network |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Multi-Sacle Dynamic Coding Improved Spiking Actor Network for Reinforcement Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Multi-Scale Distillation from Multiple Graph Neural Networks |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Multi-Type Urban Crime Prediction |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Multi-Unit Auction in Social Networks with Budgets |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Multi-View Clustering on Topological Manifold |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Multi-View Graph Representation for Programming Language Processing: An Investigation into Algorithm Detection |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Multi-View Intent Disentangle Graph Networks for Bundle Recommendation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Multilingual Code Snippets Training for Program Translation |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Multimodal Adversarially Learned Inference with Factorized Discriminators |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Multiple-Source Domain Adaptation via Coordinated Domain Encoders and Paired Classifiers |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| MultiplexNet: Towards Fully Satisfied Logical Constraints in Neural Networks |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Multiscale Generative Models: Improving Performance of a Generative Model Using Feedback from Other Dependent Generative Models |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| Mutual Contrastive Learning for Visual Representation Learning |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Mutual Nearest Neighbor Contrast and Hybrid Prototype Self-Training for Universal Domain Adaptation |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| NAREOR: The Narrative Reordering Problem |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| NICE: Robust Scheduling through Reinforcement Learning-Guided Integer Programming |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| NSGZero: Efficiently Learning Non-exploitable Policy in Large-Scale Network Security Games with Neural Monte Carlo Tree Search |
✅ |
❌ |
❌ |
❌ |
✅ |
❌ |
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3 |
| Naming the Most Anomalous Cluster in Hilbert Space for Structures with Attribute Information |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Natural Black-Box Adversarial Examples against Deep Reinforcement Learning |
✅ |
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✅ |
❌ |
✅ |
❌ |
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4 |
| NaturalInversion: Data-Free Image Synthesis Improving Real-World Consistency |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
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3 |
| Negative Sample Matters: A Renaissance of Metric Learning for Temporal Grounding |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
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4 |
| Neighborhood Consensus Contrastive Learning for Backward-Compatible Representation |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Neighborhood-Adaptive Structure Augmented Metric Learning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and Interpretable Visual Understanding |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Neural Interferometry: Image Reconstruction from Astronomical Interferometers Using Transformer-Conditioned Neural Fields |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
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3 |
| Neural Marionette: Unsupervised Learning of Motion Skeleton and Latent Dynamics from Volumetric Video |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
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2 |
| Neural Networks Classify through the Class-Wise Means of Their Representations |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
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2 |
| Neural Piecewise-Constant Delay Differential Equations |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Neuro-Symbolic Inductive Logic Programming with Logical Neural Networks |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| New Results in Bounded-Suboptimal Search |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Nice Perfume. How Long Did You Marinate in It? Multimodal Sarcasm Explanation |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| No Task Left Behind: Multi-Task Learning of Knowledge Tracing and Option Tracing for Better Student Assessment |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
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3 |
| Noise-Robust Learning from Multiple Unsupervised Sources of Inferred Labels |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| NoiseGrad — Enhancing Explanations by Introducing Stochasticity to Model Weights |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Non-autoregressive Translation with Layer-Wise Prediction and Deep Supervision |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
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4 |
| Non-parametric Online Learning from Human Feedback for Neural Machine Translation |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
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4 |
| Not All Parameters Should Be Treated Equally: Deep Safe Semi-supervised Learning under Class Distribution Mismatch |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Not All Voxels Are Equal: Semantic Scene Completion from the Point-Voxel Perspective |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
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4 |
| Novelty Controlled Paraphrase Generation with Retrieval Augmented Conditional Prompt Tuning |
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❌ |
✅ |
✅ |
✅ |
❌ |
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4 |
| NukCP: An Improved Local Search Algorithm for Maximum k-Club Problem |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
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6 |
| NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-Task Financial Forecasting |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| OA-FSUI2IT: A Novel Few-Shot Cross Domain Object Detection Framework with Object-Aware Few-Shot Unsupervised Image-to-Image Translation |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
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3 |
| OAM: An Option-Action Reinforcement Learning Framework for Universal Multi-Intersection Control |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| OVIS: Open-Vocabulary Visual Instance Search via Visual-Semantic Aligned Representation Learning |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Obtaining Calibrated Probabilities with Personalized Ranking Models |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
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3 |
| OctAttention: Octree-Based Large-Scale Contexts Model for Point Cloud Compression |
❌ |
✅ |
✅ |
❌ |
✅ |
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4 |
| Offline Reinforcement Learning as Anti-exploration |
✅ |
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✅ |
❌ |
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❌ |
✅ |
3 |
| On Causally Disentangled Representations |
✅ |
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4 |
| On Improving Resource Allocations by Sharing |
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❌ |
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1 |
| On Optimizing Interventions in Shared Autonomy |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
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3 |
| On Paraconsistent Belief Revision in LP |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| On Probabilistic Generalization of Backdoors in Boolean Satisfiability |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| On Testing for Discrimination Using Causal Models |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| On the Complexity of Inductively Learning Guarded Clauses |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
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1 |
| On the Computation of Necessary and Sufficient Explanations |
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✅ |
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❌ |
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3 |
| On the Efficacy of Small Self-Supervised Contrastive Models without Distillation Signals |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
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5 |
| On the Fairness of Causal Algorithmic Recourse |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| On the Impact of Spurious Correlation for Out-of-Distribution Detection |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| On the Impossibility of Non-trivial Accuracy in Presence of Fairness Constraints |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
2 |
| On the Transferability of Pre-trained Language Models: A Study from Artificial Datasets |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
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3 |
| On the Use of Unrealistic Predictions in Hundreds of Papers Evaluating Graph Representations |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| One More Check: Making “Fake Background” Be Tracked Again |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
7 |
| One-Shot Talking Face Generation from Single-Speaker Audio-Visual Correlation Learning |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| OneRel: Joint Entity and Relation Extraction with One Module in One Step |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
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4 |
| Online Apprenticeship Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
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3 |
| Online Certification of Preference-Based Fairness for Personalized Recommender Systems |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Online Elicitation of Necessarily Optimal Matchings |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Online Enhanced Semantic Hashing: Towards Effective and Efficient Retrieval for Streaming Multi-Modal Data |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Online Influence Maximization with Node-Level Feedback Using Standard Offline Oracles |
✅ |
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❌ |
❌ |
❌ |
❌ |
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1 |
| Online Missing Value Imputation and Change Point Detection with the Gaussian Copula |
✅ |
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✅ |
❌ |
❌ |
❌ |
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3 |
| Online Search with Best-Price and Query-Based Predictions |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
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3 |
| Online Task Assignment Problems with Reusable Resources |
✅ |
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✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Online-Updated High-Order Collaborative Networks for Single Image Deraining |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
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4 |
| OoDHDR-Codec: Out-of-Distribution Generalization for HDR Image Compression |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
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5 |
| Open Vocabulary Electroencephalography-to-Text Decoding and Zero-Shot Sentiment Classification |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Operator-Potential Heuristics for Symbolic Search |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
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6 |
| Optimal Admission Control for Multiclass Queues with Time-Varying Arrival Rates via State Abstraction |
✅ |
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✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Optimal Sampling Gaps for Adaptive Submodular Maximization |
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❌ |
✅ |
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❌ |
❌ |
✅ |
2 |
| Optimal Tensor Transport |
✅ |
✅ |
✅ |
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❌ |
❌ |
✅ |
4 |
| Optimistic Initialization for Exploration in Continuous Control |
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✅ |
✅ |
❌ |
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❌ |
❌ |
3 |
| Optimization for Classical Machine Learning Problems on the GPU |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Optimize What You Evaluate With: Search Result Diversification Based on Metric Optimization |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Optimized Potential Initialization for Low-Latency Spiking Neural Networks |
✅ |
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✅ |
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✅ |
❌ |
✅ |
4 |
| Optimizing Binary Decision Diagrams with MaxSAT for Classification |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
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5 |
| Orthogonal Graph Neural Networks |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
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4 |
| Oscillatory Fourier Neural Network: A Compact and Efficient Architecture for Sequential Processing |
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❌ |
✅ |
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✅ |
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3 |
| Out of Distribution Data Detection Using Dropout Bayesian Neural Networks |
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4 |
| PEA*+IDA*: An Improved Hybrid Memory-Restricted Algorithm |
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4 |
| PMAL: Open Set Recognition via Robust Prototype Mining |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| PRISM: A Rich Class of Parameterized Submodular Information Measures for Guided Data Subset Selection |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
❌ |
4 |
| PUMA: Performance Unchanged Model Augmentation for Training Data Removal |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| P^3-Net: Part Mobility Parsing from Point Cloud Sequences via Learning Explicit Point Correspondence |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| PageRank for Edges: Axiomatic Characterization |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Pale Transformer: A General Vision Transformer Backbone with Pale-Shaped Attention |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Pan-Sharpening with Customized Transformer and Invertible Neural Network |
❌ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
2 |
| Panini-Net: GAN Prior Based Degradation-Aware Feature Interpolation for Face Restoration |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Parallel and High-Fidelity Text-to-Lip Generation |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
❌ |
2 |
| Parameter Differentiation Based Multilingual Neural Machine Translation |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Parameterized Approximation Algorithms for K-center Clustering and Variants |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Partial Multi-Label Learning via Large Margin Nearest Neighbour Embeddings |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Partial Wasserstein Covering |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Participatory Budgeting with Donations and Diversity Constraints |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Partner-Aware Algorithms in Decentralized Cooperative Bandit Teams |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
3 |
| Patch Diffusion: A General Module for Face Manipulation Detection |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| PatchUp: A Feature-Space Block-Level Regularization Technique for Convolutional Neural Networks |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Path-Specific Objectives for Safer Agent Incentives |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Perceiving Stroke-Semantic Context: Hierarchical Contrastive Learning for Robust Scene Text Recognition |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Perceptual Quality Assessment of Omnidirectional Images |
❌ |
❌ |
❌ |
✅ |
✅ |
❌ |
✅ |
3 |
| PetsGAN: Rethinking Priors for Single Image Generation |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Pinpointing Fine-Grained Relationships between Hateful Tweets and Replies |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Pizza Sharing Is PPA-Hard |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| PlanVerb: Domain-Independent Verbalization and Summary of Task Plans |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Planning to Avoid Side Effects |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Planning with Biological Neurons and Synapses |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
3 |
| Planning with Explanations for Finding Desired Meeting Points on Graphs |
✅ |
❌ |
❌ |
❌ |
✅ |
✅ |
✅ |
4 |
| Planning with Participation Constraints |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Play the Shannon Game with Language Models: A Human-Free Approach to Summary Evaluation |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Playing Lottery Tickets with Vision and Language |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| PluGeN: Multi-Label Conditional Generation from Pre-trained Models |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Policy Learning for Robust Markov Decision Process with a Mismatched Generative Model |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Policy Optimization with Stochastic Mirror Descent |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Polygon-to-Polygon Distance Loss for Rotated Object Detection |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| PolygonE: Modeling N-ary Relational Data as Gyro-Polygons in Hyperbolic Space |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Pose Adaptive Dual Mixup for Few-Shot Single-View 3D Reconstruction |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Pose Guided Image Generation from Misaligned Sources via Residual Flow Based Correction |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Pose-Guided Feature Disentangling for Occluded Person Re-identification Based on Transformer |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Pose-Invariant Face Recognition via Adaptive Angular Distillation |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Post-OCR Document Correction with Large Ensembles of Character Sequence-to-Sequence Models |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Powerful Graph Convolutional Networks with Adaptive Propagation Mechanism for Homophily and Heterophily |
❌ |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
4 |
| Powering Finetuning in Few-Shot Learning: Domain-Agnostic Bias Reduction with Selected Sampling |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Practical Fixed-Parameter Algorithms for Defending Active Directory Style Attack Graphs |
✅ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| Predicting Above-Sentence Discourse Structure Using Distant Supervision from Topic Segmentation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Predicting Physical World Destinations for Commands Given to Self-Driving Cars |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
3 |
| Preemptive Image Robustification for Protecting Users against Man-in-the-Middle Adversarial Attacks |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Pretrained Cost Model for Distributed Constraint Optimization Problems |
✅ |
✅ |
❌ |
❌ |
✅ |
❌ |
✅ |
4 |
| Prevailing in the Dark: Information Walls in Strategic Games |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Prior Gradient Mask Guided Pruning-Aware Fine-Tuning |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Privacy-Preserving Face Recognition in the Frequency Domain |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Private Rank Aggregation in Central and Local Models |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| PrivateMail: Supervised Manifold Learning of Deep Features with Privacy for Image Retrieval |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| PrivateSNN: Privacy-Preserving Spiking Neural Networks |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Probing Linguistic Information for Logical Inference in Pre-trained Language Models |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Probing Word Syntactic Representations in the Brain by a Feature Elimination Method |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Procedural Text Understanding via Scene-Wise Evolution |
✅ |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| Procrastinated Tree Search: Black-Box Optimization with Delayed, Noisy, and Multi-Fidelity Feedback |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| Programmatic Modeling and Generation of Real-Time Strategic Soccer Environments for Reinforcement Learning |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Programmatic Reward Design by Example |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| ProgressiveMotionSeg: Mutually Reinforced Framework for Event-Based Motion Segmentation |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Promoting Single-Modal Optical Flow Network for Diverse Cross-Modal Flow Estimation |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Proportional Public Decisions |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Propositional Encodings of Acyclicity and Reachability by Using Vertex Elimination |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| ProtGNN: Towards Self-Explaining Graph Neural Networks |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Protecting Intellectual Property of Language Generation APIs with Lexical Watermark |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Provable Guarantees for Understanding Out-of-Distribution Detection |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Provable Sensor Sets for Epidemic Detection over Networks with Minimum Delay |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Proximal PanNet: A Model-Based Deep Network for Pansharpening |
❌ |
❌ |
❌ |
✅ |
✅ |
❌ |
✅ |
3 |
| Proxy Learning of Visual Concepts of Fine Art Paintings from Styles through Language Models |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Prune and Tune Ensembles: Low-Cost Ensemble Learning with Sparse Independent Subnetworks |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| PureGaze: Purifying Gaze Feature for Generalizable Gaze Estimation |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Pushing the Limits of Rule Reasoning in Transformers through Natural Language Satisfiability |
✅ |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
3 |
| Q-Ball: Modeling Basketball Games Using Deep Reinforcement Learning |
❌ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
2 |
| QUILT: Effective Multi-Class Classification on Quantum Computers Using an Ensemble of Diverse Quantum Classifiers |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Qubit Routing Using Graph Neural Network Aided Monte Carlo Tree Search |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
❌ |
3 |
| QueryProp: Object Query Propagation for High-Performance Video Object Detection |
❌ |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
5 |
| REMOTE: Reinforced Motion Transformation Network for Semi-supervised 2D Pose Estimation in Videos |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| RID-Noise: Towards Robust Inverse Design under Noisy Environments |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| RRL: Regional Rotate Layer in Convolutional Neural Networks |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Random Mapping Method for Large-Scale Terrain Modeling |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Random Tensor Theory for Tensor Decomposition |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Random vs. Best-First: Impact of Sampling Strategies on Decision Making in Model-Based Diagnosis |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Ranking Info Noise Contrastive Estimation: Boosting Contrastive Learning via Ranked Positives |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| RareGAN: Generating Samples for Rare Classes |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| ReMoNet: Recurrent Multi-Output Network for Efficient Video Denoising |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| ReX: An Efficient Approach to Reducing Memory Cost in Image Classification |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Real-Time Driver-Request Assignment in Ridesourcing |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Reasoning about Causal Models with Infinitely Many Variables |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Reconfiguring Shortest Paths in Graphs |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Recovering the Propensity Score from Biased Positive Unlabeled Data |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Recurrent Neural Network Controllers Synthesis with Stability Guarantees for Partially Observed Systems |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
2 |
| Recursive Reasoning Graph for Multi-Agent Reinforcement Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Reducing Flipping Errors in Deep Neural Networks |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Reference-Based Speech Enhancement via Feature Alignment and Fusion Network |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Reference-Guided Pseudo-Label Generation for Medical Semantic Segmentation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Reforming an Envy-Free Matching |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Regularization Guarantees Generalization in Bayesian Reinforcement Learning through Algorithmic Stability |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Regularized Modal Regression on Markov-Dependent Observations: A Theoretical Assessment |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Regularizing End-to-End Speech Translation with Triangular Decomposition Agreement |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Regularizing Graph Neural Networks via Consistency-Diversity Graph Augmentations |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Reinforcement Learning Augmented Asymptotically Optimal Index Policy for Finite-Horizon Restless Bandits |
✅ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| Reinforcement Learning Based Dynamic Model Combination for Time Series Forecasting |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Reinforcement Learning of Causal Variables Using Mediation Analysis |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
2 |
| Reinforcement Learning with Stochastic Reward Machines |
✅ |
❌ |
❌ |
❌ |
✅ |
✅ |
✅ |
4 |
| Reliability Exploration with Self-Ensemble Learning for Domain Adaptive Person Re-identification |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Reliable Inlier Evaluation for Unsupervised Point Cloud Registration |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Reliable Propagation-Correction Modulation for Video Object Segmentation |
✅ |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| Rendering-Aware HDR Environment Map Prediction from a Single Image |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| Renovate Yourself: Calibrating Feature Representation of Misclassified Pixels for Semantic Segmentation |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| RepBin: Constraint-Based Graph Representation Learning for Metagenomic Binning |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Residual Similarity Based Conditional Independence Test and Its Application in Causal Discovery |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| Resistance Training Using Prior Bias: Toward Unbiased Scene Graph Generation |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Resolving Inconsistencies in Simple Temporal Problems: A Parameterized Approach |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Restorable Image Operators with Quasi-Invertible Networks |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| RetGen: A Joint Framework for Retrieval and Grounded Text Generation Modeling |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Rethinking Influence Functions of Neural Networks in the Over-Parameterized Regime |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Rethinking Pseudo Labels for Semi-supervised Object Detection |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| Rethinking the Optimization of Average Precision: Only Penalizing Negative Instances before Positive Ones Is Enough |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Rethinking the Two-Stage Framework for Grounded Situation Recognition |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Retinomorphic Object Detection in Asynchronous Visual Streams |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Retrieve, Caption, Generate: Visual Grounding for Enhancing Commonsense in Text Generation Models |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Reverse Differentiation via Predictive Coding |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Reward-Weighted Regression Converges to a Global Optimum |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Risk-Aware Stochastic Shortest Path |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
❌ |
5 |
| Robust Action Gap Increasing with Clipped Advantage Learning |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Robust Adversarial Reinforcement Learning with Dissipation Inequation Constraint |
✅ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| Robust Depth Completion with Uncertainty-Driven Loss Functions |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Robust Graph-Based Multi-View Clustering |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Robust Heterogeneous Graph Neural Networks against Adversarial Attacks |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Robust Optimal Classification Trees against Adversarial Examples |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| Robust Tests in Online Decision-Making |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Robust and Resource-Efficient Data-Free Knowledge Distillation by Generative Pseudo Replay |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Robustification of Online Graph Exploration Methods |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Role of Human-AI Interaction in Selective Prediction |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Rushing and Strolling among Answer Sets – Navigation Made Easy |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| SAIL: Self-Augmented Graph Contrastive Learning |
✅ |
❌ |
✅ |
❌ |
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2 |
| SAS: Self-Augmentation Strategy for Language Model Pre-training |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
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6 |
| SASA: Semantics-Augmented Set Abstraction for Point-Based 3D Object Detection |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| SCALoss: Side and Corner Aligned Loss for Bounding Box Regression |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| SCAN: Cross Domain Object Detection with Semantic Conditioned Adaptation |
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✅ |
✅ |
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❌ |
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4 |
| SCIR-Net: Structured Color Image Representation Based 3D Object Detection Network from Point Clouds |
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❌ |
✅ |
✅ |
✅ |
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4 |
| SCRIB: Set-Classifier with Class-Specific Risk Bounds for Blackbox Models |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
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4 |
| SCSNet: An Efficient Paradigm for Learning Simultaneously Image Colorization and Super-resolution |
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❌ |
✅ |
✅ |
✅ |
❌ |
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4 |
| SCTN: Sparse Convolution-Transformer Network for Scene Flow Estimation |
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❌ |
✅ |
✅ |
✅ |
❌ |
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4 |
| SECRET: Self-Consistent Pseudo Label Refinement for Unsupervised Domain Adaptive Person Re-identification |
✅ |
✅ |
✅ |
❌ |
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✅ |
4 |
| SFSRNet: Super-resolution for Single-Channel Audio Source Separation |
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❌ |
✅ |
✅ |
✅ |
❌ |
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4 |
| SGD-X: A Benchmark for Robust Generalization in Schema-Guided Dialogue Systems |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| SGEITL: Scene Graph Enhanced Image-Text Learning for Visual Commonsense Reasoning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
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2 |
| SJDL-Vehicle: Semi-supervised Joint Defogging Learning for Foggy Vehicle Re-identification |
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✅ |
✅ |
❌ |
✅ |
❌ |
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4 |
| SMINet: State-Aware Multi-Aspect Interests Representation Network for Cold-Start Users Recommendation |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
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2 |
| SOIT: Segmenting Objects with Instance-Aware Transformers |
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✅ |
✅ |
✅ |
✅ |
❌ |
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5 |
| SPATE-GAN: Improved Generative Modeling of Dynamic Spatio-Temporal Patterns with an Autoregressive Embedding Loss |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| SSAST: Self-Supervised Audio Spectrogram Transformer |
✅ |
✅ |
✅ |
✅ |
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❌ |
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6 |
| SSAT: A Symmetric Semantic-Aware Transformer Network for Makeup Transfer and Removal |
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✅ |
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❌ |
✅ |
✅ |
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5 |
| STDEN: Towards Physics-Guided Neural Networks for Traffic Flow Prediction |
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✅ |
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3 |
| STEM: Unsupervised STructural EMbedding for Stance Detection |
✅ |
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❌ |
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5 |
| STEPS: Semantic Typing of Event Processes with a Sequence-to-Sequence Approach |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| SVGA-Net: Sparse Voxel-Graph Attention Network for 3D Object Detection from Point Clouds |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
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4 |
| SVT-Net: Super Light-Weight Sparse Voxel Transformer for Large Scale Place Recognition |
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❌ |
✅ |
✅ |
✅ |
❌ |
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4 |
| Safe Distillation Box |
❌ |
❌ |
✅ |
❌ |
❌ |
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✅ |
2 |
| Safe Online Convex Optimization with Unknown Linear Safety Constraints |
✅ |
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❌ |
❌ |
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✅ |
2 |
| Safe Subgame Resolving for Extensive Form Correlated Equilibrium |
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✅ |
❌ |
✅ |
❌ |
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4 |
| Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated Label Mixing |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Same State, Different Task: Continual Reinforcement Learning without Interference |
✅ |
✅ |
✅ |
❌ |
❌ |
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3 |
| Sample Average Approximation for Stochastic Optimization with Dependent Data: Performance Guarantees and Tractability |
✅ |
❌ |
❌ |
❌ |
❌ |
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2 |
| Sample-Efficient Iterative Lower Bound Optimization of Deep Reactive Policies for Planning in Continuous MDPs |
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✅ |
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❌ |
❌ |
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3 |
| Sample-Efficient Reinforcement Learning via Conservative Model-Based Actor-Critic |
✅ |
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✅ |
❌ |
❌ |
❌ |
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3 |
| Sampling-Based Robust Control of Autonomous Systems with Non-Gaussian Noise |
✅ |
✅ |
❌ |
❌ |
✅ |
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✅ |
4 |
| Saving Stochastic Bandits from Poisoning Attacks via Limited Data Verification |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Scaled ReLU Matters for Training Vision Transformers |
✅ |
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✅ |
✅ |
❌ |
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4 |
| Scaling Neural Program Synthesis with Distribution-Based Search |
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✅ |
❌ |
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❌ |
✅ |
2 |
| Scaling Up Influence Functions |
✅ |
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❌ |
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6 |
| Search Strategies for Topological Network Optimization |
✅ |
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❌ |
❌ |
✅ |
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4 |
| Search and Learn: Improving Semantic Coverage for Data-to-Text Generation |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Secretary Matching with Vertex Arrivals and No Rejections |
✅ |
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❌ |
❌ |
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❌ |
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1 |
| Seizing Critical Learning Periods in Federated Learning |
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✅ |
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3 |
| Selecting Optimal Context Sentences for Event-Event Relation Extraction |
❌ |
❌ |
✅ |
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❌ |
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2 |
| Self-Adaptive Imitation Learning: Learning Tasks with Delayed Rewards from Sub-optimal Demonstrations |
✅ |
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✅ |
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2 |
| Self-Labeling Framework for Novel Category Discovery over Domains |
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2 |
| Self-Supervised Audio-and-Text Pre-training with Extremely Low-Resource Parallel Data |
✅ |
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✅ |
✅ |
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❌ |
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5 |
| Self-Supervised Category-Level 6D Object Pose Estimation with Deep Implicit Shape Representation |
❌ |
✅ |
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✅ |
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5 |
| Self-Supervised Enhancement of Latent Discovery in GANs |
❌ |
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✅ |
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2 |
| Self-Supervised Graph Neural Networks via Diverse and Interactive Message Passing |
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3 |
| Self-Supervised Knowledge Assimilation for Expert-Layman Text Style Transfer |
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4 |
| Self-Supervised Object Localization with Joint Graph Partition |
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3 |
| Self-Supervised Pre-training for Protein Embeddings Using Tertiary Structures |
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✅ |
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3 |
| Self-Supervised Pretraining for RGB-D Salient Object Detection |
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4 |
| Self-Supervised Representation Learning Framework for Remote Physiological Measurement Using Spatiotemporal Augmentation Loss |
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4 |
| Self-Supervised Robust Scene Flow Estimation via the Alignment of Probability Density Functions |
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❌ |
✅ |
✅ |
❌ |
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3 |
| Self-Supervised Spatiotemporal Representation Learning by Exploiting Video Continuity |
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❌ |
✅ |
✅ |
❌ |
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3 |
| Self-Training Multi-Sequence Learning with Transformer for Weakly Supervised Video Anomaly Detection |
✅ |
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✅ |
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✅ |
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4 |
| Semantic Feature Extraction for Generalized Zero-Shot Learning |
❌ |
❌ |
✅ |
✅ |
❌ |
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3 |
| Semantic Parsing in Task-Oriented Dialog with Recursive Insertion-Based Encoder |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
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4 |
| Semantic Self-Segmentation for Abstractive Summarization of Long Documents in Low-Resource Regimes |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
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5 |
| Semantic-Aware Representation Blending for Multi-Label Image Recognition with Partial Labels |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
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4 |
| Semantically Contrastive Learning for Low-Light Image Enhancement |
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✅ |
✅ |
✅ |
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4 |
| Semi-supervised Conditional Density Estimation with Wasserstein Laplacian Regularisation |
✅ |
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✅ |
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❌ |
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6 |
| Semi-supervised Learning with Multi-Head Co-Training |
✅ |
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✅ |
✅ |
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4 |
| Semi-supervised Object Detection with Adaptive Class-Rebalancing Self-Training |
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✅ |
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3 |
| SepFusion: Finding Optimal Fusion Structures for Visual Sound Separation |
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✅ |
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❌ |
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4 |
| Separated Contrastive Learning for Organ-at-Risk and Gross-Tumor-Volume Segmentation with Limited Annotation |
❌ |
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✅ |
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❌ |
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4 |
| Sequence Level Contrastive Learning for Text Summarization |
❌ |
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6 |
| Sequence-to-Action: Grammatical Error Correction with Action Guided Sequence Generation |
✅ |
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4 |
| Sequential Blocked Matching |
✅ |
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❌ |
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1 |
| Shadow Generation for Composite Image in Real-World Scenes |
❌ |
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✅ |
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6 |
| Shape Prior Guided Attack: Sparser Perturbations on 3D Point Clouds |
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✅ |
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2 |
| Shape-Adaptive Selection and Measurement for Oriented Object Detection |
❌ |
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✅ |
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6 |
| Shaping Noise for Robust Attributions in Neural Stochastic Differential Equations |
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❌ |
✅ |
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3 |
| Shard Systems: Scalable, Robust and Persistent Multi-Agent Path Finding with Performance Guarantees |
✅ |
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❌ |
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4 |
| Sharp Analysis of Random Fourier Features in Classification |
❌ |
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❌ |
❌ |
❌ |
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0 |
| Sharp Restricted Isometry Property Bounds for Low-Rank Matrix Recovery Problems with Corrupted Measurements |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Show Your Faith: Cross-Modal Confidence-Aware Network for Image-Text Matching |
❌ |
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✅ |
✅ |
❌ |
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4 |
| Shrinking Temporal Attention in Transformers for Video Action Recognition |
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❌ |
✅ |
✅ |
❌ |
❌ |
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3 |
| Shrub Ensembles for Online Classification |
✅ |
✅ |
❌ |
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✅ |
❌ |
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3 |
| ShuttleNet: Position-Aware Fusion of Rally Progress and Player Styles for Stroke Forecasting in Badminton |
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✅ |
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4 |
| SiamTrans: Zero-Shot Multi-Frame Image Restoration with Pre-trained Siamese Transformers |
❌ |
❌ |
✅ |
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✅ |
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3 |
| Siamese Network with Interactive Transformer for Video Object Segmentation |
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✅ |
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❌ |
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5 |
| Signaling in Posted Price Auctions |
✅ |
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❌ |
❌ |
❌ |
❌ |
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1 |
| Sim2Real Object-Centric Keypoint Detection and Description |
❌ |
❌ |
✅ |
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2 |
| SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-training for Spatial-Aware Visual Representations |
❌ |
❌ |
✅ |
✅ |
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❌ |
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3 |
| SimSR: Simple Distance-Based State Representations for Deep Reinforcement Learning |
✅ |
✅ |
✅ |
❌ |
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❌ |
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4 |
| Similarity Search for Efficient Active Learning and Search of Rare Concepts |
✅ |
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✅ |
❌ |
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❌ |
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3 |
| Simple Unsupervised Graph Representation Learning |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
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4 |
| Simultaneously Learning Stochastic and Adversarial Bandits under the Position-Based Model |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
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2 |
| Single-Agent Dynamics in Additively Separable Hedonic Games |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Single-Domain Generalization in Medical Image Segmentation via Test-Time Adaptation from Shape Dictionary |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| SmartIdx: Reducing Communication Cost in Federated Learning by Exploiting the CNNs Structures |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
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4 |
| Smoothing Advantage Learning |
✅ |
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✅ |
❌ |
❌ |
❌ |
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3 |
| Social Interpretable Tree for Pedestrian Trajectory Prediction |
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❌ |
✅ |
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❌ |
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3 |
| Solving Disjunctive Temporal Networks with Uncertainty under Restricted Time-Based Controllability Using Tree Search and Graph Neural Networks |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
7 |
| Solving PDE-Constrained Control Problems Using Operator Learning |
❌ |
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❌ |
❌ |
❌ |
✅ |
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2 |
| Span-Based Semantic Role Labeling with Argument Pruning and Second-Order Inference |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Sparse Cross-Scale Attention Network for Efficient LiDAR Panoptic Segmentation |
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❌ |
✅ |
✅ |
✅ |
❌ |
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4 |
| Sparse MLP for Image Recognition: Is Self-Attention Really Necessary? |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
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6 |
| Sparse Structure Learning via Graph Neural Networks for Inductive Document Classification |
❌ |
✅ |
✅ |
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✅ |
❌ |
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5 |
| Sparse-RS: A Versatile Framework for Query-Efficient Sparse Black-Box Adversarial Attacks |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
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4 |
| Sparsification of Decomposable Submodular Functions |
✅ |
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✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Spatial Frequency Bias in Convolutional Generative Adversarial Networks |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Spatio-Temporal Recurrent Networks for Event-Based Optical Flow Estimation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Speeding Up the RUL¯ Dynamic-Controllability-Checking Algorithm for Simple Temporal Networks with Uncertainty |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| SpikeConverter: An Efficient Conversion Framework Zipping the Gap between Artificial Neural Networks and Spiking Neural Networks |
✅ |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| Spiking Neural Networks with Improved Inherent Recurrence Dynamics for Sequential Learning |
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❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Spline-PINN: Approaching PDEs without Data Using Fast, Physics-Informed Hermite-Spline CNNs |
❌ |
✅ |
✅ |
❌ |
✅ |
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4 |
| Split Moves for Monte-Carlo Tree Search |
✅ |
✅ |
✅ |
❌ |
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3 |
| SplitFed: When Federated Learning Meets Split Learning |
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✅ |
❌ |
✅ |
✅ |
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6 |
| SpreadGNN: Decentralized Multi-Task Federated Learning for Graph Neural Networks on Molecular Data |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Stability Verification in Stochastic Control Systems via Neural Network Supermartingales |
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❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Stackelberg Actor-Critic: Game-Theoretic Reinforcement Learning Algorithms |
✅ |
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❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Stage Conscious Attention Network (SCAN): A Demonstration-Conditioned Policy for Few-Shot Imitation |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| State Deviation Correction for Offline Reinforcement Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Static-Dynamic Co-teaching for Class-Incremental 3D Object Detection |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Stationary Diffusion State Neural Estimation for Multiview Clustering |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| StepGame: A New Benchmark for Robust Multi-Hop Spatial Reasoning in Texts |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Stereo Neural Vernier Caliper |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Stochastic Goal Recognition Design Problems with Suboptimal Agents |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Stochastic Planner-Actor-Critic for Unsupervised Deformable Image Registration |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Strictly Proper Contract Functions Can Be Arbitrage-Free |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Structural Landmarking and Interaction Modelling: A “SLIM” Network for Graph Classification |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Structure Learning-Based Task Decomposition for Reinforcement Learning in Non-stationary Environments |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
❌ |
4 |
| Structured Semantic Transfer for Multi-Label Recognition with Partial Labels |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Style Mixing and Patchwise Prototypical Matching for One-Shot Unsupervised Domain Adaptive Semantic Segmentation |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Style-Guided and Disentangled Representation for Robust Image-to-Image Translation |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Sublinear Time Approximation of Text Similarity Matrices |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Subset Approximation of Pareto Regions with Bi-objective A* |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Subspace Differential Privacy |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Sufficient Reasons for Classifier Decisions in the Presence of Domain Constraints |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Supervising Model Attention with Human Explanations for Robust Natural Language Inference |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Suppressing Static Visual Cues via Normalizing Flows for Self-Supervised Video Representation Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Symbolic Brittleness in Sequence Models: On Systematic Generalization in Symbolic Mathematics |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| SyncTalkFace: Talking Face Generation with Precise Lip-Syncing via Audio-Lip Memory |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Synthesis from Satisficing and Temporal Goals |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Synthetic Disinformation Attacks on Automated Fact Verification Systems |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| TA2N: Two-Stage Action Alignment Network for Few-Shot Action Recognition |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| TAG: Learning Timed Automata from Logs |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| TDv2: A Novel Tree-Structured Decoder for Offline Mathematical Expression Recognition |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| TEACh: Task-Driven Embodied Agents That Chat |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| TIGGER: Scalable Generative Modelling for Temporal Interaction Graphs |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
3 |
| TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| TRF: Learning Kernels with Tuned Random Features |
❌ |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
4 |
| TS2Vec: Towards Universal Representation of Time Series |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
❌ |
4 |
| TVT: Three-Way Vision Transformer through Multi-Modal Hypersphere Learning for Zero-Shot Sketch-Based Image Retrieval |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Tailor Versatile Multi-Modal Learning for Multi-Label Emotion Recognition |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Task-Customized Self-Supervised Pre-training with Scalable Dynamic Routing |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Task-Level Self-Supervision for Cross-Domain Few-Shot Learning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Teaching Humans When to Defer to a Classifier via Exemplars |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| Team Correlated Equilibria in Zero-Sum Extensive-Form Games via Tree Decompositions |
✅ |
❌ |
✅ |
❌ |
❌ |
✅ |
✅ |
4 |
| TempoQR: Temporal Question Reasoning over Knowledge Graphs |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Temporal Action Proposal Generation with Background Constraint |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Temporal Knowledge Graph Completion Using Box Embeddings |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Text Gestalt: Stroke-Aware Scene Text Image Super-resolution |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Text Is No More Enough! A Benchmark for Profile-Based Spoken Language Understanding |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Text Revision By On-the-Fly Representation Optimization |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Text-Based Interactive Recommendation via Offline Reinforcement Learning |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| TextHoaxer: Budgeted Hard-Label Adversarial Attacks on Text |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Texture Generation Using Dual-Domain Feature Flow with Multi-View Hallucinations |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Texture Reformer: Towards Fast and Universal Interactive Texture Transfer |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| The Complexity of Learning Approval-Based Multiwinner Voting Rules |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| The Complexity of Proportionality Degree in Committee Elections |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| The Complexity of Subelection Isomorphism Problems |
❌ |
✅ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| The Complexity of Temporal Vertex Cover in Small-Degree Graphs |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| The Effect of Manifold Entanglement and Intrinsic Dimensionality on Learning |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| The FF Heuristic for Lifted Classical Planning |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| The King Is Naked: On the Notion of Robustness for Natural Language Processing |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| The Metric Distortion of Multiwinner Voting |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| The Perils of Learning Before Optimizing |
❌ |
✅ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| The Price of Justified Representation |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| The Price of Selfishness: Conjunctive Query Entailment for ALCSelf Is 2EXPTIME-Hard |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| The Role of Adaptive Optimizers for Honest Private Hyperparameter Selection |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| The Secretary Problem with Competing Employers on Random Edge Arrivals |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| The Semi-random Likelihood of Doctrinal Paradoxes |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| The SoftCumulative Constraint with Quadratic Penalty |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| The Strange Role of Information Asymmetry in Auctions—Does More Accurate Value Estimation Benefit a Bidder? |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| The Triangle-Densest-K-Subgraph Problem: Hardness, Lovász Extension, and Application to Document Summarization |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Theoretical Guarantees of Fictitious Discount Algorithms for Episodic Reinforcement Learning and Global Convergence of Policy Gradient Methods |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Theory of and Experiments on Minimally Invasive Stability Preservation in Changing Two-Sided Matching Markets |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| TiGAN: Text-Based Interactive Image Generation and Manipulation |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
❌ |
2 |
| Tight Neural Network Verification via Semidefinite Relaxations and Linear Reformulations |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Top-Down Deep Clustering with Multi-Generator GANs |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
3 |
| Topology-Aware Convolutional Neural Network for Efficient Skeleton-Based Action Recognition |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Toward Physically Realizable Quantum Neural Networks |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Towards Accurate Facial Motion Retargeting with Identity-Consistent and Expression-Exclusive Constraints |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
✅ |
4 |
| Towards Automated Discovery of God-Like Folk Algorithms for Rubik’s Cube |
✅ |
✅ |
❌ |
❌ |
✅ |
✅ |
✅ |
5 |
| Towards Automating Model Explanations with Certified Robustness Guarantees |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| Towards Bridging Sample Complexity and Model Capacity |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Towards Building ASR Systems for the Next Billion Users |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Towards Debiasing DNN Models from Spurious Feature Influence |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Towards Discriminant Analysis Classifiers Using Online Active Learning via Myoelectric Interfaces |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Towards End-to-End Image Compression and Analysis with Transformers |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Towards Explainable Action Recognition by Salient Qualitative Spatial Object Relation Chains |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| Towards Fine-Grained Reasoning for Fake News Detection |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Towards Fully Sparse Training: Information Restoration with Spatial Similarity |
❌ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
4 |
| Towards High-Fidelity Face Self-Occlusion Recovery via Multi-View Residual-Based GAN Inversion |
❌ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
4 |
| Towards Light-Weight and Real-Time Line Segment Detection |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Towards Off-Policy Learning for Ranking Policies with Logged Feedback |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| Towards Robust Off-Policy Learning for Runtime Uncertainty |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Towards To-a-T Spatio-Temporal Focus for Skeleton-Based Action Recognition |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Towards Transferable Adversarial Attacks on Vision Transformers |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Towards Ultra-Resolution Neural Style Transfer via Thumbnail Instance Normalization |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Towards Versatile Pedestrian Detector with Multisensory-Matching and Multispectral Recalling Memory |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Towards a Rigorous Evaluation of Time-Series Anomaly Detection |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Towards an Effective Orthogonal Dictionary Convolution Strategy |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Tracing Text Provenance via Context-Aware Lexical Substitution |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Tractable Abstract Argumentation via Backdoor-Treewidth |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| Tractable Explanations for d-DNNF Classifiers |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
❌ |
4 |
| Trading Complexity for Sparsity in Random Forest Explanations |
❌ |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
5 |
| Training Robust Deep Models for Time-Series Domain: Novel Algorithms and Theoretical Analysis |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Training a Resilient Q-network against Observational Interference |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Training-Free Uncertainty Estimation for Dense Regression: Sensitivity as a Surrogate |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| TransFG: A Transformer Architecture for Fine-Grained Recognition |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| TransMEF: A Transformer-Based Multi-Exposure Image Fusion Framework Using Self-Supervised Multi-Task Learning |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| TransZero: Attribute-Guided Transformer for Zero-Shot Learning |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Transcoded Video Restoration by Temporal Spatial Auxiliary Network |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| Transfer Learning for Color Constancy via Statistic Perspective |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Transfer Learning from Synthetic to Real LiDAR Point Cloud for Semantic Segmentation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Transferring the Contamination Factor between Anomaly Detection Domains by Shape Similarity |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Transformer Uncertainty Estimation with Hierarchical Stochastic Attention |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Transformer with Memory Replay |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Transmission-Guided Bayesian Generative Model for Smoke Segmentation |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| TrustAL: Trustworthy Active Learning Using Knowledge Distillation |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Trusted Multi-View Deep Learning with Opinion Aggregation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Truth-Tracking via Approval Voting: Size Matters |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Truthful Aggregation of Budget Proposals with Proportionality Guarantees |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Truthful Cake Sharing |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Truthful and Fair Mechanisms for Matroid-Rank Valuations |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Two Compacted Models for Efficient Model-Based Diagnosis |
✅ |
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✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Two-Price Equilibrium |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Two-Stage Octave Residual Network for End-to-End Image Compression |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-Wise Perspective with Transformer |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| UFPMP-Det:Toward Accurate and Efficient Object Detection on Drone Imagery |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| UNISON: Unpaired Cross-Lingual Image Captioning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Un-mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Unbiased IoU for Spherical Image Object Detection |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Uncertainty Estimation via Response Scaling for Pseudo-Mask Noise Mitigation in Weakly-Supervised Semantic Segmentation |
❌ |
✅ |
✅ |
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4 |
| Uncertainty Modeling with Second-Order Transformer for Group Re-identification |
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2 |
| Uncertainty-Aware Learning against Label Noise on Imbalanced Datasets |
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3 |
| Uncertainty-Driven Dehazing Network |
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4 |
| Undercover Boolean Matrix Factorization with MaxSAT |
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6 |
| Understanding Enthymemes in Deductive Argumentation Using Semantic Distance Measures |
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4 |
| UniMS: A Unified Framework for Multimodal Summarization with Knowledge Distillation |
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4 |
| Unified Named Entity Recognition as Word-Word Relation Classification |
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3 |
| Unifying Knowledge Base Completion with PU Learning to Mitigate the Observation Bias |
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3 |
| Unifying Model Explainability and Robustness for Joint Text Classification and Rationale Extraction |
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6 |
| Unit Selection with Causal Diagram |
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0 |
| Universal and Tight Online Algorithms for Generalized-Mean Welfare |
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1 |
| Unpaired Multi-Domain Stain Transfer for Kidney Histopathological Images |
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5 |
| Unsupervised Adversarially Robust Representation Learning on Graphs |
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3 |
| Unsupervised Anomaly Detection by Robust Density Estimation |
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2 |
| Unsupervised Causal Binary Concepts Discovery with VAE for Black-Box Model Explanation |
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2 |
| Unsupervised Coherent Video Cartoonization with Perceptual Motion Consistency |
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3 |
| Unsupervised Deep Keyphrase Generation |
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4 |
| Unsupervised Domain Adaptive Salient Object Detection through Uncertainty-Aware Pseudo-Label Learning |
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3 |
| Unsupervised Editing for Counterfactual Stories |
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4 |
| Unsupervised Learning of Compositional Scene Representations from Multiple Unspecified Viewpoints |
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3 |
| Unsupervised Reinforcement Learning in Multiple Environments |
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4 |
| Unsupervised Representation for Semantic Segmentation by Implicit Cycle-Attention Contrastive Learning |
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2 |
| Unsupervised Sentence Representation via Contrastive Learning with Mixing Negatives |
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4 |
| Unsupervised Temporal Video Grounding with Deep Semantic Clustering |
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4 |
| Unsupervised Underwater Image Restoration: From a Homology Perspective |
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4 |
| Up to 100x Faster Data-Free Knowledge Distillation |
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4 |
| Using Conditional Independence for Belief Revision |
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0 |
| Using MaxSAT for Efficient Explanations of Tree Ensembles |
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❌ |
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6 |
| VACA: Designing Variational Graph Autoencoders for Causal Queries |
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3 |
| VAST: The Valence-Assessing Semantics Test for Contextualizing Language Models |
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2 |
| VECA: A New Benchmark and Toolkit for General Cognitive Development |
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4 |
| VITA: A Multi-Source Vicinal Transfer Augmentation Method for Out-of-Distribution Generalization |
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3 |
| ValueNet: A New Dataset for Human Value Driven Dialogue System |
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5 |
| Verification of Neural-Network Control Systems by Integrating Taylor Models and Zonotopes |
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5 |
| Video as Conditional Graph Hierarchy for Multi-Granular Question Answering |
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2 |
| Vision Transformers Are Robust Learners |
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2 |
| Visual Consensus Modeling for Video-Text Retrieval |
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5 |
| Visual Definition Modeling: Challenging Vision & Language Models to Define Words and Objects |
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6 |
| Visual Semantics Allow for Textual Reasoning Better in Scene Text Recognition |
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4 |
| Visual Sound Localization in the Wild by Cross-Modal Interference Erasing |
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3 |
| Wasserstein Unsupervised Reinforcement Learning |
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2 |
| Weakly Supervised Neural Symbolic Learning for Cognitive Tasks |
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4 |
| Weakly Supervised Neuro-Symbolic Module Networks for Numerical Reasoning over Text |
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3 |
| Weakly Supervised Video Moment Localization with Contrastive Negative Sample Mining |
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5 |
| Weakly-Supervised Salient Object Detection Using Point Supervision |
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5 |
| Weighted Fairness Notions for Indivisible Items Revisited |
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0 |
| Weighted Model Counting in FO2 with Cardinality Constraints and Counting Quantifiers: A Closed Form Formula |
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0 |
| Well-Classified Examples Are Underestimated in Classification with Deep Neural Networks |
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3 |
| What Can We Learn Even from the Weakest? Learning Sketches for Programmatic Strategies |
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2 |
| What about Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator |
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3 |
| When AI Difficulty Is Easy: The Explanatory Power of Predicting IRT Difficulty |
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4 |
| When Can the Defender Effectively Deceive Attackers in Security Games? |
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2 |
| When Facial Expression Recognition Meets Few-Shot Learning: A Joint and Alternate Learning Framework |
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2 |
| When Shift Operation Meets Vision Transformer: An Extremely Simple Alternative to Attention Mechanism |
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6 |
| Why Fair Labels Can Yield Unfair Predictions: Graphical Conditions for Introduced Unfairness |
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1 |
| Width & Depth Pruning for Vision Transformers |
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5 |
| With False Friends Like These, Who Can Notice Mistakes? |
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2 |
| Word Level Robustness Enhancement: Fight Perturbation with Perturbation |
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4 |
| Worst-Case Voting When the Stakes Are High |
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2 |
| XLM-K: Improving Cross-Lingual Language Model Pre-training with Multilingual Knowledge |
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5 |
| You Only Infer Once: Cross-Modal Meta-Transfer for Referring Video Object Segmentation |
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4 |
| ZINB-Based Graph Embedding Autoencoder for Single-Cell RNA-Seq Interpretations |
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3 |
| Zero Stability Well Predicts Performance of Convolutional Neural Networks |
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6 |
| Zero-Shot Audio Source Separation through Query-Based Learning from Weakly-Labeled Data |
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5 |
| Zero-Shot Commonsense Question Answering with Cloze Translation and Consistency Optimization |
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5 |
| Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-sentence Dependency Graph |
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5 |
| Zero-Shot Out-of-Distribution Detection Based on the Pre-trained Model CLIP |
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5 |
| Zeroth-Order Optimization for Composite Problems with Functional Constraints |
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5 |
| fGOT: Graph Distances Based on Filters and Optimal Transport |
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3 |
| iDECODe: In-Distribution Equivariance for Conformal Out-of-Distribution Detection |
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5 |
| “I Don’t Think So”: Summarizing Policy Disagreements for Agent Comparison |
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3 |