| (Comet-) Atomic 2020: On Symbolic and Neural Commonsense Knowledge Graphs |
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3 |
| *-CFQ: Analyzing the Scalability of Machine Learning on a Compositional Task |
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4 |
| 5* Knowledge Graph Embeddings with Projective Transformations |
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2 |
| A Bayesian Approach for Subset Selection in Contextual Bandits |
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3 |
| A Bidirectional Multi-paragraph Reading Model for Zero-shot Entity Linking |
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4 |
| A Blind Block Term Decomposition of High Order Tensors |
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2 |
| A Bottom-Up DAG Structure Extraction Model for Math Word Problems |
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6 |
| A Case Study of the Shortcut Effects in Visual Commonsense Reasoning |
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6 |
| A Complexity-theoretic Analysis of Green Pickup-and-Delivery Problems |
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1 |
| A Continual Learning Framework for Uncertainty-Aware Interactive Image Segmentation |
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3 |
| A Controllable Model of Grounded Response Generation |
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5 |
| A Deep Reinforcement Learning Approach to First-Order Logic Theorem Proving |
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2 |
| A Deeper Look at the Hessian Eigenspectrum of Deep Neural Networks and its Applications to Regularization |
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5 |
| A Fast Exact Algorithm for the Resource Constrained Shortest Path Problem |
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6 |
| A Few Queries Go a Long Way: Information-Distortion Tradeoffs in Matching |
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1 |
| A Flexible Framework for Communication-Efficient Machine Learning |
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3 |
| A Free Lunch for Unsupervised Domain Adaptive Object Detection without Source Data |
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3 |
| A General Class of Transfer Learning Regression without Implementation Cost |
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3 |
| A General Offline Reinforcement Learning Framework for Interactive Recommendation |
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2 |
| A General Setting for Gradual Semantics Dealing with Similarity |
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0 |
| A Generative Adversarial Framework for Bounding Confounded Causal Effects |
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4 |
| A Global Occlusion-Aware Approach to Self-Supervised Monocular Visual Odometry |
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4 |
| A Graph Reasoning Network for Multi-turn Response Selection via Customized Pre-training |
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2 |
| A Graph-based Relevance Matching Model for Ad-hoc Retrieval |
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5 |
| A Hierarchical Approach to Multi-Event Survival Analysis |
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4 |
| A Hybrid Attention Mechanism for Weakly-Supervised Temporal Action Localization |
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3 |
| A Hybrid Bandit Framework for Diversified Recommendation |
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4 |
| A Hybrid Probabilistic Approach for Table Understanding |
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5 |
| A Hybrid Stochastic Gradient Hamiltonian Monte Carlo Method |
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3 |
| A Joint Training Dual-MRC Framework for Aspect Based Sentiment Analysis |
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5 |
| A Lightweight Neural Model for Biomedical Entity Linking |
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5 |
| A Market-Inspired Bidding Scheme for Peer Review Paper Assignment |
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2 |
| A Model of Winners Allocation |
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0 |
| A Multi-step-ahead Markov Conditional Forward Model with Cube Perturbations for Extreme Weather Forecasting |
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3 |
| A Multivariate Complexity Analysis of the Material Consumption Scheduling Problem |
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0 |
| A Neural Group-wise Sentiment Analysis Model with Data Sparsity Awareness |
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4 |
| A New Bounding Scheme for Influence Diagrams |
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3 |
| A Novel Visual Interpretability for Deep Neural Networks by Optimizing Activation Maps with Perturbation |
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3 |
| A Novice-Reviewer Experiment to Address Scarcity of Qualified Reviewers in Large Conferences |
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1 |
| A One-Size-Fits-All Solution to Conservative Bandit Problems |
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2 |
| A Permutation-Equivariant Neural Network Architecture For Auction Design |
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1 |
| A Primal-Dual Online Algorithm for Online Matching Problem in Dynamic Environments |
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2 |
| A Recipe for Global Convergence Guarantee in Deep Neural Networks |
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4 |
| A SAT-based Resolution of Lam’s Problem |
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3 |
| A Sample-Efficient Algorithm for Episodic Finite-Horizon MDP with Constraints |
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1 |
| A Scalable Reasoning and Learning Approach for Neural-Symbolic Stream Fusion |
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6 |
| A Scalable Two Stage Approach to Computing Optimal Decision Sets |
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4 |
| A Sharp Leap from Quantified Boolean Formula to Stochastic Boolean Satisfiability Solving |
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6 |
| A Simple Framework for Cognitive Planning |
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0 |
| A Simple and Effective Self-Supervised Contrastive Learning Framework for Aspect Detection |
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5 |
| A Spatial Regulated Patch-Wise Approach for Cervical Dysplasia Diagnosis |
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2 |
| A Student-Teacher Architecture for Dialog Domain Adaptation Under the Meta-Learning Setting |
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4 |
| A Supervised Multi-Head Self-Attention Network for Nested Named Entity Recognition |
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4 |
| A Systematic Evaluation of Object Detection Networks for Scientific Plots |
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2 |
| A Theoretical Analysis of the Repetition Problem in Text Generation |
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3 |
| A Theory of Independent Mechanisms for Extrapolation in Generative Models |
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2 |
| A Trace-restricted Kronecker-Factored Approximation to Natural Gradient |
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4 |
| A Unified Framework for Planning with Learned Neural Network Transition Models |
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4 |
| A Unified Multi-Scenario Attacking Network for Visual Object Tracking |
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3 |
| A Unified Multi-Task Learning Framework for Joint Extraction of Entities and Relations |
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3 |
| A Unified Pretraining Framework for Passage Ranking and Expansion |
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4 |
| A Unified Taylor Framework for Revisiting Attribution Methods |
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3 |
| A User-Adaptive Layer Selection Framework for Very Deep Sequential Recommender Models |
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4 |
| ACMo: Angle-Calibrated Moment Methods for Stochastic Optimization |
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5 |
| ACSNet: Action-Context Separation Network for Weakly Supervised Temporal Action Localization |
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3 |
| ACT: an Attentive Convolutional Transformer for Efficient Text Classification |
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4 |
| ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning |
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6 |
| AI-Assisted Scientific Data Collection with Iterative Human Feedback |
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4 |
| ALP-KD: Attention-Based Layer Projection for Knowledge Distillation |
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4 |
| ASHF-Net: Adaptive Sampling and Hierarchical Folding Network for Robust Point Cloud Completion |
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4 |
| Accelerated Combinatorial Search for Outlier Detection with Provable Bound on Sub-Optimality |
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2 |
| Accelerating Continuous Normalizing Flow with Trajectory Polynomial Regularization |
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4 |
| Accelerating Neural Machine Translation with Partial Word Embedding Compression |
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5 |
| Accurate and Robust Feature Importance Estimation under Distribution Shifts |
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3 |
| Achieving Envy-freeness and Equitability with Monetary Transfers |
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1 |
| Achieving Proportionality up to the Maximin Item with Indivisible Goods |
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0 |
| Action Candidate Based Clipped Double Q-learning for Discrete and Continuous Action Tasks |
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3 |
| ActionBert: Leveraging User Actions for Semantic Understanding of User Interfaces |
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4 |
| Active Bayesian Assessment of Black-Box Classifiers |
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4 |
| Active Feature Selection for the Mutual Information Criterion |
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3 |
| Activity Image-to-Video Retrieval by Disentangling Appearance and Motion |
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5 |
| Ada-Segment: Automated Multi-loss Adaptation for Panoptic Segmentation |
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4 |
| Adaptive Algorithms for Multi-armed Bandit with Composite and Anonymous Feedback |
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3 |
| Adaptive Beam Search Decoding for Discrete Keyphrase Generation |
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5 |
| Adaptive Gradient Methods for Constrained Convex Optimization and Variational Inequalities |
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2 |
| Adaptive Knowledge Driven Regularization for Deep Neural Networks |
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3 |
| Adaptive Pattern-Parameter Matching for Robust Pedestrian Detection |
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4 |
| Adaptive Prior-Dependent Correction Enhanced Reinforcement Learning for Natural Language Generation |
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1 |
| Adaptive Teaching of Temporal Logic Formulas to Preference-based Learners |
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3 |
| Adaptive Verifiable Training Using Pairwise Class Similarity |
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1 |
| Addressing Action Oscillations through Learning Policy Inertia |
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3 |
| Addressing Class Imbalance in Federated Learning |
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3 |
| Addressing Domain Gap via Content Invariant Representation for Semantic Segmentation |
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4 |
| AdvantageNAS: Efficient Neural Architecture Search with Credit Assignment |
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5 |
| Adversarial Defence by Diversified Simultaneous Training of Deep Ensembles |
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7 |
| Adversarial Directed Graph Embedding |
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5 |
| Adversarial Language Games for Advanced Natural Language Intelligence |
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2 |
| Adversarial Linear Contextual Bandits with Graph-Structured Side Observations |
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2 |
| Adversarial Meta Sampling for Multilingual Low-Resource Speech Recognition |
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4 |
| Adversarial Partial Multi-Label Learning with Label Disambiguation |
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3 |
| Adversarial Permutation Guided Node Representations for Link Prediction |
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4 |
| Adversarial Pose Regression Network for Pose-Invariant Face Recognitions |
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4 |
| Adversarial Robustness through Disentangled Representations |
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5 |
| Adversarial Training Reduces Information and Improves Transferability |
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3 |
| Adversarial Training and Provable Robustness: A Tale of Two Objectives |
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4 |
| Adversarial Training with Fast Gradient Projection Method against Synonym Substitution Based Text Attacks |
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4 |
| Adversarial Turing Patterns from Cellular Automata |
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4 |
| Advice-Guided Reinforcement Learning in a non-Markovian Environment |
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4 |
| Agent Incentives: A Causal Perspective |
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0 |
| Aggregated Multi-GANs for Controlled 3D Human Motion Prediction |
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3 |
| Aggregating Binary Judgments Ranked by Accuracy |
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2 |
| Agreement-Discrepancy-Selection: Active Learning with Progressive Distribution Alignment |
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5 |
| Algebra of Modular Systems: Containment and Equivalence |
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0 |
| Aligning Artificial Neural Networks and Ontologies towards Explainable AI |
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4 |
| Almost Envy-freeness, Envy-rank, and Nash Social Welfare Matchings |
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1 |
| Almost Linear Time Density Level Set Estimation via DBSCAN |
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5 |
| Alternative Baselines for Low-Shot 3D Medical Image Segmentation—An Atlas Perspective |
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4 |
| Amata: An Annealing Mechanism for Adversarial Training Acceleration |
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5 |
| Amnesiac Machine Learning |
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5 |
| Amodal Segmentation Based on Visible Region Segmentation and Shape Prior |
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4 |
| An Adaptive Hybrid Framework for Cross-domain Aspect-based Sentiment Analysis |
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✅ |
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❌ |
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3 |
| An Analysis of Approval-Based Committee Rules for 2D-Euclidean Elections |
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❌ |
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❌ |
✅ |
1 |
| An Efficient Algorithm for Deep Stochastic Contextual Bandits |
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4 |
| An Efficient Transformer Decoder with Compressed Sub-layers |
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4 |
| An Enhanced Advising Model in Teacher-Student Framework using State Categorization |
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✅ |
3 |
| An Improved Upper Bound for SAT |
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❌ |
1 |
| An Information-Theoretic Framework for Unifying Active Learning Problems |
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✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| An LP-Based Approach for Goal Recognition as Planning |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| An Unsupervised Sampling Approach for Image-Sentence Matching Using Document-level Structural Information |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Analogical Image Translation for Fog Generation |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Analogy Training Multilingual Encoders |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Analysing the Noise Model Error for Realistic Noisy Label Data |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| AnchorFace: An Anchor-based Facial Landmark Detector Across Large Poses |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Anomaly Attribution with Likelihood Compensation |
✅ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
3 |
| Answering Complex Queries in Knowledge Graphs with Bidirectional Sequence Encoders |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| Answering Regular Path Queries Under Approximate Semantics in Lightweight Description Logics |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Anticipating Future Relations via Graph Growing for Action Prediction |
❌ |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
5 |
| Any-Precision Deep Neural Networks |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Anytime Heuristic and Monte Carlo Methods for Large-Scale Simultaneous Coalition Structure Generation and Assignment |
✅ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| Anytime Inference with Distilled Hierarchical Neural Ensembles |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Apparently Irrational Choice as Optimal Sequential Decision Making |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Appearance-Motion Memory Consistency Network for Video Anomaly Detection |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
3 |
| Approximate Multiplication of Sparse Matrices with Limited Space |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Arbitrary Video Style Transfer via Multi-Channel Correlation |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Are Adversarial Examples Created Equal? A Learnable Weighted Minimax Risk for Robustness under Non-uniform Attacks |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Argument Mining Driven Analysis of Peer-Reviews |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Argumentation Frameworks with Strong and Weak Constraints: Semantics and Complexity |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Artificial Dummies for Urban Dataset Augmentation |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Asking the Right Questions: Learning Interpretable Action Models Through Query Answering |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Aspect-Level Sentiment-Controllable Review Generation with Mutual Learning Framework |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Asynchronous Optimization Methods for Efficient Training of Deep Neural Networks with Guarantees |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Asynchronous Stochastic Gradient Descent for Extreme-Scale Recommender Systems |
✅ |
❌ |
❌ |
❌ |
✅ |
✅ |
✅ |
4 |
| Asynchronous Teacher Guided Bit-wise Hard Mining for Online Hashing |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| AttaNet: Attention-Augmented Network for Fast and Accurate Scene Parsing |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Attention-based Multi-Level Fusion Network for Light Field Depth Estimation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Attentive Neural Point Processes for Event Forecasting |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| AttnMove: History Enhanced Trajectory Recovery via Attentional Network |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Attribute-Guided Adversarial Training for Robustness to Natural Perturbations |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Attributes-Guided and Pure-Visual Attention Alignment for Few-Shot Recognition |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Audio-Oriented Multimodal Machine Comprehension via Dynamic Inter- and Intra-modality Attention |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| Audio-Visual Localization by Synthetic Acoustic Image Generation |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| AugSplicing: Synchronized Behavior Detection in Streaming Tensors |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Augmented Experiment in Material Engineering Using Machine Learning |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Augmented Partial Mutual Learning with Frame Masking for Video Captioning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Augmenting Policy Learning with Routines Discovered from a Single Demonstration |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Auto-Encoding Transformations in Reparameterized Lie Groups for Unsupervised Learning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| AutoDropout: Learning Dropout Patterns to Regularize Deep Networks |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| AutoLR: Layer-wise Pruning and Auto-tuning of Learning Rates in Fine-tuning of Deep Networks |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Automated Clustering of High-dimensional Data with a Feature Weighted Mean Shift Algorithm |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Automated Cross-prompt Scoring of Essay Traits |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Automated Lay Language Summarization of Biomedical Scientific Reviews |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Automated Mechanism Design for Classification with Partial Verification |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Automated Model Design and Benchmarking of Deep Learning Models for COVID-19 Detection with Chest CT Scans |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Automated Storytelling via Causal, Commonsense Plot Ordering |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Automated Symbolic Law Discovery: A Computer Vision Approach |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| Automatic Curriculum Learning With Over-repetition Penalty for Dialogue Policy Learning |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Automatic Generation of Flexible Plans via Diverse Temporal Planning |
❌ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
4 |
| Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite Networks |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| BERT & Family Eat Word Salad: Experiments with Text Understanding |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| BSN++: Complementary Boundary Regressor with Scale-Balanced Relation Modeling for Temporal Action Proposal Generation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| BT Expansion: a Sound and Complete Algorithm for Behavior Planning of Intelligent Robots with Behavior Trees |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
2 |
| Backdoor Decomposable Monotone Circuits and Propagation Complete Encodings |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Bag of Tricks for Long-Tailed Visual Recognition with Deep Convolutional Neural Networks |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Balanced Open Set Domain Adaptation via Centroid Alignment |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Bandit Linear Optimization for Sequential Decision Making and Extensive-Form Games |
✅ |
❌ |
✅ |
❌ |
❌ |
✅ |
✅ |
4 |
| Bayes DistNet – A Robust Neural Network for Algorithm Runtime Distribution Predictions |
❌ |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
5 |
| Bayes-TrEx: a Bayesian Sampling Approach to Model Transparency by Example |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Bayesian Distributional Policy Gradients |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Bayesian Dynamic Mode Decomposition with Variational Matrix Factorization |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Bayesian Optimized Monte Carlo Planning |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Bayesian Persuasion under Ex Ante and Ex Post Constraints |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Beating Attackers At Their Own Games: Adversarial Example Detection Using Adversarial Gradient Directions |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Benchmarking Knowledge-Enhanced Commonsense Question Answering via Knowledge-to-Text Transformation |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Better Bounds on the Adaptivity Gap of Influence Maximization under Full-adoption Feedback |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Beyond Low-frequency Information in Graph Convolutional Networks |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Bias and Variance of Post-processing in Differential Privacy |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Bidirectional Machine Reading Comprehension for Aspect Sentiment Triplet Extraction |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Bidirectional RNN-based Few Shot Learning for 3D Medical Image Segmentation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Bigram and Unigram Based Text Attack via Adaptive Monotonic Heuristic Search |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Bike-Repositioning Using Volunteers: Crowd Sourcing with Choice Restriction |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Binary Matrix Factorisation via Column Generation |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
✅ |
4 |
| Binaural Audio-Visual Localization |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| BoW Pooling: A Plug-and-Play Unit for Feature Aggregation of Point Clouds |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Boosting Image-based Mutual Gaze Detection using Pseudo 3D Gaze |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Boosting Multi-task Learning Through Combination of Task Labels – with Applications in ECG Phenotyping |
❌ |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
5 |
| Boundary Proposal Network for Two-stage Natural Language Video Localization |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Boundary-Aware Geometric Encoding for Semantic Segmentation of Point Clouds |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Bounded Risk-Sensitive Markov Games: Forward Policy Design and Inverse Reward Learning with Iterative Reasoning and Cumulative Prospect Theory |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Bounding Causal Effects on Continuous Outcome |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Brain Decoding Using fNIRS |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Branch and Price for Bus Driver Scheduling with Complex Break Constraints |
❌ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
4 |
| Bridging Towers of Multi-task Learning with a Gating Mechanism for Aspect-based Sentiment Analysis and Sequential Metaphor Identification |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Bridging the Domain Gap: Improve Informal Language Translation via Counterfactual Domain Adaptation |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Bringing UMAP Closer to the Speed of Light with GPU Acceleration |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Budget Feasible Mechanisms Over Graphs |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Building Interpretable Interaction Trees for Deep NLP Models |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| C-Watcher: A Framework for Early Detection of High-Risk Neighborhoods Ahead of COVID-19 Outbreak |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| C2C-GenDA: Cluster-to-Cluster Generation for Data Augmentation of Slot Filling |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| C2F-FWN: Coarse-to-Fine Flow Warping Network for Spatial-Temporal Consistent Motion Transfer |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Networks |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| CARE: Commonsense-Aware Emotional Response Generation with Latent Concepts |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| CARPe Posterum: A Convolutional Approach for Real-Time Pedestrian Path Prediction |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| CHEF: Cross-modal Hierarchical Embeddings for Food Domain Retrieval |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| CIA-SSD: Confident IoU-Aware Single-Stage Object Detector From Point Cloud |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| CMAX++ : Leveraging Experience in Planning and Execution using Inaccurate Models |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| CNN Profiler on Polar Coordinate Images for Tropical Cyclone Structure Analysis |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| CPCGAN: A Controllable 3D Point Cloud Generative Adversarial Network with Semantic Label Generating |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Camera-Aware Proxies for Unsupervised Person Re-Identification |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Capturing Delayed Feedback in Conversion Rate Prediction via Elapsed-Time Sampling |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Capturing Uncertainty in Unsupervised GPS Trajectory Segmentation Using Bayesian Deep Learning |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| CardioGAN: Attentive Generative Adversarial Network with Dual Discriminators for Synthesis of ECG from PPG |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Cascade Network with Guided Loss and Hybrid Attention for Finding Good Correspondences |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Cascade Size Distributions: Why They Matter and How to Compute Them Efficiently |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Catch Me if I Can: Detecting Strategic Behaviour in Peer Assessment |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Category Dictionary Guided Unsupervised Domain Adaptation for Object Detection |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Certifying Parity Reasoning Efficiently Using Pseudo-Boolean Proofs |
✅ |
✅ |
❌ |
❌ |
✅ |
❌ |
❌ |
3 |
| Certifying Top-Down Decision-DNNF Compilers |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| Characterizing Deep Gaussian Processes via Nonlinear Recurrence Systems |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Characterizing the Evasion Attackability of Multi-label Classifiers |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Characterizing the Loss Landscape in Non-Negative Matrix Factorization |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Choosing the Initial State for Online Replanning |
✅ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| ChronoR: Rotation Based Temporal Knowledge Graph Embedding |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Circles are like Ellipses, or Ellipses are like Circles? Measuring the Degree of Asymmetry of Static and Contextual Word Embeddings and the Implications to Representation Learning |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Class-Attentive Diffusion Network for Semi-Supervised Classification |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Class-Incremental Instance Segmentation via Multi-Teacher Networks |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Classification Under Human Assistance |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Classification by Attention: Scene Graph Classification with Prior Knowledge |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Classification with Few Tests through Self-Selection |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Classification with Strategically Withheld Data |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global Inference |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| CloudLSTM: A Recurrent Neural Model for Spatiotemporal Point-cloud Stream Forecasting |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Clustering Ensemble Meets Low-rank Tensor Approximation |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Co-GAT: A Co-Interactive Graph Attention Network for Joint Dialog Act Recognition and Sentiment Classification |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Co-mining: Self-Supervised Learning for Sparsely Annotated Object Detection |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Coalition Formation in Multi-defender Security Games |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Code Completion by Modeling Flattened Abstract Syntax Trees as Graphs |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Cold-start Sequential Recommendation via Meta Learner |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Collaborative Group Learning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Combinatorial Pure Exploration with Full-Bandit or Partial Linear Feedback |
✅ |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
2 |
| Combining Preference Elicitation with Local Search and Greedy Search for Matroid Optimization |
✅ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization |
✅ |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
4 |
| Combining Reinforcement Learning with Lin-Kernighan-Helsgaun Algorithm for the Traveling Salesman Problem |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Commission Fee is not Enough: A Hierarchical Reinforced Framework for Portfolio Management |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| Commonsense Knowledge Augmentation for Low-Resource Languages via Adversarial Learning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Commonsense Knowledge Aware Concept Selection For Diverse and Informative Visual Storytelling |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Communication-Aware Collaborative Learning |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Communication-Efficient Frank-Wolfe Algorithm for Nonconvex Decentralized Distributed Learning |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Communicative Message Passing for Inductive Relation Reasoning |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Community-Aware Multi-Task Transportation Demand Prediction |
❌ |
❌ |
❌ |
✅ |
✅ |
❌ |
✅ |
3 |
| CompFeat: Comprehensive Feature Aggregation for Video Instance Segmentation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Competitive Analysis for Two-Level Ski-Rental Problem |
✅ |
❌ |
❌ |
❌ |
✅ |
✅ |
✅ |
4 |
| Complete Closed Time Intervals-Related Patterns Mining |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Complex Coordinate-Based Meta-Analysis with Probabilistic Programming |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Complexity and Algorithms for Exploiting Quantal Opponents in Large Two-Player Games |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Composite Adversarial Attacks |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Compound Word Transformer: Learning to Compose Full-Song Music over Dynamic Directed Hypergraphs |
❌ |
✅ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| Comprehension and Knowledge |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Compressing Deep Convolutional Neural Networks by Stacking Low-dimensional Binary Convolution Filters |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Computational Analyses of the Electoral College: Campaigning Is Hard But Approximately Manageable |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Computationally Tractable Riemannian Manifolds for Graph Embeddings |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Computing Ex Ante Coordinated Team-Maxmin Equilibria in Zero-Sum Multiplayer Extensive-Form Games |
✅ |
❌ |
❌ |
❌ |
✅ |
✅ |
✅ |
4 |
| Computing Plan-Length Bounds Using Lengths of Longest Paths |
❌ |
❌ |
❌ |
❌ |
✅ |
✅ |
✅ |
3 |
| Computing Quantal Stackelberg Equilibrium in Extensive-Form Games |
✅ |
❌ |
❌ |
❌ |
✅ |
✅ |
✅ |
4 |
| Computing an Efficient Exploration Basis for Learning with Univariate Polynomial Features |
✅ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| Computing the Proportional Veto Core |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Conceptualized and Contextualized Gaussian Embedding |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Conditional Inference under Disjunctive Rationality |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Condorcet Relaxation In Spatial Voting |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Confidence-aware Non-repetitive Multimodal Transformers for TextCaps |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Consecutive Decoding for Speech-to-text Translation |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Consensus Graph Representation Learning for Better Grounded Image Captioning |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Consistency Regularization with High-dimensional Non-adversarial Source-guided Perturbation for Unsupervised Domain Adaptation in Segmentation |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Consistency and Finite Sample Behavior of Binary Class Probability Estimation |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Consistent Right-Invariant Fixed-Lag Smoother with Application to Visual Inertial SLAM |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Consistent-Separable Feature Representation for Semantic Segmentation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Constrained Risk-Averse Markov Decision Processes |
❌ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
2 |
| Constraint Logic Programming for Real-World Test Laboratory Scheduling |
❌ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
4 |
| Constructing a Fair Classifier with Generated Fair Data |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Content Learning with Structure-Aware Writing: A Graph-Infused Dual Conditional Variational Autoencoder for Automatic Storytelling |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Content Masked Loss: Human-Like Brush Stroke Planning in a Reinforcement Learning Painting Agent |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Context Matters: Graph-based Self-supervised Representation Learning for Medical Images |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Context-Aware Graph Convolution Network for Target Re-identification |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Context-Guided Adaptive Network for Efficient Human Pose Estimation |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
7 |
| Context-Guided BERT for Targeted Aspect-Based Sentiment Analysis |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Context-aware Attentional Pooling (CAP) for Fine-grained Visual Classification |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Contextual Conditional Reasoning |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Contextualized Rewriting for Text Summarization |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| Continual General Chunking Problem and SyncMap |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Continual Learning by Using Information of Each Class Holistically |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Continual Learning for Named Entity Recognition |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Continuous Self-Attention Models with Neural ODE Networks |
❌ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
4 |
| Continuous-Time Attention for Sequential Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Contract Scheduling With Predictions |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Contract-based Inter-user Usage Coordination in Free-floating Car Sharing |
❌ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
2 |
| Contrastive Adversarial Learning for Person Independent Facial Emotion Recognition |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Contrastive Clustering |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Contrastive Self-supervised Learning for Graph Classification |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Contrastive Transformation for Self-supervised Correspondence Learning |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Contrastive Triple Extraction with Generative Transformer |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Convergence Analysis of No-Regret Bidding Algorithms in Repeated Auctions |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Conversational Neuro-Symbolic Commonsense Reasoning |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Converse, Focus and Guess – Towards Multi-Document Driven Dialogue |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Coordination Between Individual Agents in Multi-Agent Reinforcement Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Copy That! Editing Sequences by Copying Spans |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Correlation-Aware Heuristic Search for Intelligent Virtual Machine Provisioning in Cloud Systems |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Correlative Channel-Aware Fusion for Multi-View Time Series Classification |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Cost-aware Graph Generation: A Deep Bayesian Optimization Approach |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
❌ |
4 |
| Counterfactual Explanations for Oblique Decision Trees:Exact, Efficient Algorithms |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Counting Maximal Satisfiable Subsets |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
❌ |
3 |
| Coupled Layer-wise Graph Convolution for Transportation Demand Prediction |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Coupling Macro-Sector-Micro Financial Indicators for Learning Stock Representations with Less Uncertainty |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Coupon Design in Advertising Systems |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
✅ |
3 |
| Cross-Domain Grouping and Alignment for Domain Adaptive Semantic Segmentation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Cross-Layer Distillation with Semantic Calibration |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Cross-Oilfield Reservoir Classification via Multi-Scale Sensor Knowledge Transfer |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| CrossNER: Evaluating Cross-Domain Named Entity Recognition |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Curriculum-Meta Learning for Order-Robust Continual Relation Extraction |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
3 |
| Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Cutting to the Core of Pseudo-Boolean Optimization: Combining Core-Guided Search with Cutting Planes Reasoning |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| DART: Adaptive Accept Reject Algorithm for Non-Linear Combinatorial Bandits |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| DAST: Unsupervised Domain Adaptation in Semantic Segmentation Based on Discriminator Attention and Self-Training |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| DASZL: Dynamic Action Signatures for Zero-shot Learning |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
❌ |
2 |
| DDRel: A New Dataset for Interpersonal Relation Classification in Dyadic Dialogues |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| DEAR: Deep Reinforcement Learning for Online Advertising Impression in Recommender Systems |
✅ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
3 |
| DIBS: Diversity Inducing Information Bottleneck in Model Ensembles |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| DIRV: Dense Interaction Region Voting for End-to-End Human-Object Interaction Detection |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| DPFPS: Dynamic and Progressive Filter Pruning for Compressing Convolutional Neural Networks from Scratch |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| DPM: A Novel Training Method for Physics-Informed Neural Networks in Extrapolation |
✅ |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| Data Augmentation for Abstractive Query-Focused Multi-Document Summarization |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Data Augmentation for Graph Neural Networks |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Data-Free Knowledge Distillation with Soft Targeted Transfer Set Synthesis |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Data-driven Competitive Algorithms for Online Knapsack and Set Cover |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| DeHiB: Deep Hidden Backdoor Attack on Semi-supervised Learning via Adversarial Perturbation |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Debiasing Evaluations That Are Biased by Evaluations |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Dec-SGTS: Decentralized Sub-Goal Tree Search for Multi-Agent Coordination |
✅ |
✅ |
❌ |
❌ |
✅ |
❌ |
✅ |
4 |
| DecAug: Augmenting HOI Detection via Decomposition |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation |
✅ |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| Decentralised Learning from Independent Multi-Domain Labels for Person Re-Identification |
❌ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
4 |
| Decentralized Multi-Agent Linear Bandits with Safety Constraints |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Decentralized Policy Gradient Descent Ascent for Safe Multi-Agent Reinforcement Learning |
✅ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| Decision-Guided Weighted Automata Extraction from Recurrent Neural Networks |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Decoupled and Memory-Reinforced Networks: Towards Effective Feature Learning for One-Step Person Search |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Deductive Learning for Weakly-Supervised 3D Human Pose Estimation via Uncalibrated Cameras |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Deep Bayesian Quadrature Policy Optimization |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
3 |
| Deep Conservation: A Latent-Dynamics Model for Exact Satisfaction of Physical Conservation Laws |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
✅ |
3 |
| Deep Contextual Clinical Prediction with Reverse Distillation |
❌ |
✅ |
❌ |
✅ |
✅ |
❌ |
✅ |
4 |
| Deep Event Stereo Leveraged by Event-to-Image Translation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Deep Feature Space Trojan Attack of Neural Networks by Controlled Detoxification |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
❌ |
4 |
| Deep Frequency Principle Towards Understanding Why Deeper Learning Is Faster |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Deep Fusion Clustering Network |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Deep Graph Spectral Evolution Networks for Graph Topological Evolution |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
4 |
| Deep Graph-neighbor Coherence Preserving Network for Unsupervised Cross-modal Hashing |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Deep Innovation Protection: Confronting the Credit Assignment Problem in Training Heterogeneous Neural Architectures |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Deep Just-In-Time Inconsistency Detection Between Comments and Source Code |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Deep Low-Contrast Image Enhancement using Structure Tensor Representation |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Deep Metric Learning with Graph Consistency |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Deep Metric Learning with Self-Supervised Ranking |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Deep Multi-Task Learning for Diabetic Retinopathy Grading in Fundus Images |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Deep Mutual Information Maximin for Cross-Modal Clustering |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Deep Open Intent Classification with Adaptive Decision Boundary |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Deep Partial Rank Aggregation for Personalized Attributes |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Deep Portfolio Optimization via Distributional Prediction of Residual Factors |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Deep Probabilistic Canonical Correlation Analysis |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Deep Probabilistic Imaging: Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Deep Radial-Basis Value Functions for Continuous Control |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Deep Recurrent Belief Propagation Network for POMDPs |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Deep Semantic Dictionary Learning for Multi-label Image Classification |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Deep Spiking Neural Network with Neural Oscillation and Spike-Phase Information |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Deep Style Transfer for Line Drawings |
❌ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
2 |
| Deep Switching Auto-Regressive Factorization: Application to Time Series Forecasting |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Deep Transfer Tensor Decomposition with Orthogonal Constraint for Recommender Systems |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Deep Unsupervised Image Hashing by Maximizing Bit Entropy |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Deep Wasserstein Graph Discriminant Learning for Graph Classification |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| DeepCollaboration: Collaborative Generative and Discriminative Models for Class Incremental Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| DeepDT: Learning Geometry From Delaunay Triangulation for Surface Reconstruction |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| DeepPseudo: Pseudo Value Based Deep Learning Models for Competing Risk Analysis |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| DeepSynth: Automata Synthesis for Automatic Task Segmentation in Deep Reinforcement Learning |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| DeepTrader: A Deep Reinforcement Learning Approach for Risk-Return Balanced Portfolio Management with Market Conditions Embedding |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| DeepWriteSYN: On-Line Handwriting Synthesis via Deep Short-Term Representations |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Defending against Backdoors in Federated Learning with Robust Learning Rate |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Defending against Contagious Attacks on a Network with Resource Reallocation |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Delving into Variance Transmission and Normalization: Shift of Average Gradient Makes the Network Collapse |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Demodalizing Face Recognition with Synthetic Samples |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Denoising Distantly Supervised Named Entity Recognition via a Hypergeometric Probabilistic Model |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Dense Events Grounding in Video |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| DenserNet: Weakly Supervised Visual Localization Using Multi-Scale Feature Aggregation |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Dependency Stochastic Boolean Satisfiability: A Logical Formalism for NEXPTIME Decision Problems with Uncertainty |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Depth Privileged Object Detection in Indoor Scenes via Deformation Hallucination |
❌ |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
5 |
| Detecting Adversarial Examples from Sensitivity Inconsistency of Spatial-Transform Domain |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Detecting Beneficial Feature Interactions for Recommender Systems |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Deterministic Mini-batch Sequencing for Training Deep Neural Networks |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Diagnose Like A Pathologist: Weakly-Supervised Pathologist-Tree Network for Slide-Level Immunohistochemical Scoring |
✅ |
✅ |
❌ |
✅ |
✅ |
❌ |
✅ |
5 |
| Dialog Policy Learning for Joint Clarification and Active Learning Queries |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| DialogBERT: Discourse-Aware Response Generation via Learning to Recover and Rank Utterances |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| DialogXL: All-in-One XLNet for Multi-Party Conversation Emotion Recognition |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Differentiable Fluids with Solid Coupling for Learning and Control |
✅ |
❌ |
❌ |
❌ |
✅ |
✅ |
✅ |
4 |
| Differentiable Inductive Logic Programming for Structured Examples |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Differential Spectral Normalization (DSN) for PDE Discovery |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Differentially Private Clustering via Maximum Coverage |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Differentially Private Decomposable Submodular Maximization |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Differentially Private Link Prediction with Protected Connections |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Differentially Private Stochastic Coordinate Descent |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
3 |
| Differentially Private and Communication Efficient Collaborative Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Differentially Private and Fair Deep Learning: A Lagrangian Dual Approach |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Differentially Private k-Means via Exponential Mechanism and Max Cover |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Diffusion Network Inference from Partial Observations |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| DirectQE: Direct Pretraining for Machine Translation Quality Estimation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Discovering Fully Oriented Causal Networks |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Discovering New Intents with Deep Aligned Clustering |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Discriminative Region Suppression for Weakly-Supervised Semantic Segmentation |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Disentangled Information Bottleneck |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Disentangled Motif-aware Graph Learning for Phrase Grounding |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Disentangled Multi-Relational Graph Convolutional Network for Pedestrian Trajectory Prediction |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Disentangled Representation Learning in Heterogeneous Information Network for Large-scale Android Malware Detection in the COVID-19 Era and Beyond |
✅ |
❌ |
❌ |
❌ |
✅ |
✅ |
✅ |
4 |
| Disjunctive Temporal Problems under Structural Restrictions |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Disposable Linear Bandits for Online Recommendations |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Distant Transfer Learning via Deep Random Walk |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Distilling Localization for Self-Supervised Representation Learning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Distributed Ranking with Communications: Approximation Analysis and Applications |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Distribution Adaptive INT8 Quantization for Training CNNs |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Distribution Matching for Rationalization |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Distributional Reinforcement Learning via Moment Matching |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| District-Fair Participatory Budgeting |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Diverse Knowledge Distillation for End-to-End Person Search |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Dividing a Graphical Cake |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Do Response Selection Models Really Know What’s Next? Utterance Manipulation Strategies for Multi-turn Response Selection |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| DocParser: Hierarchical Document Structure Parsing from Renderings |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Document-Level Relation Extraction with Reconstruction |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Does Explainable Artificial Intelligence Improve Human Decision-Making? |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
✅ |
3 |
| Does Head Label Help for Long-Tailed Multi-Label Text Classification |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Domain Adaptation In Reinforcement Learning Via Latent Unified State Representation |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Domain General Face Forgery Detection by Learning to Weight |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Double Oracle Algorithm for Computing Equilibria in Continuous Games |
✅ |
✅ |
❌ |
❌ |
✅ |
❌ |
✅ |
4 |
| Doubly Residual Neural Decoder: Towards Low-Complexity High-Performance Channel Decoding |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| DramaQA: Character-Centered Video Story Understanding with Hierarchical QA |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| DropLoss for Long-Tail Instance Segmentation |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Dual Adversarial Graph Neural Networks for Multi-label Cross-modal Retrieval |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Dual Compositional Learning in Interactive Image Retrieval |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Dual Distribution Alignment Network for Generalizable Person Re-Identification |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Dual Quaternion Knowledge Graph Embeddings |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Dual Sparse Attention Network For Session-based Recommendation |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Dual-Octave Convolution for Accelerated Parallel MR Image Reconstruction |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| Dual-level Collaborative Transformer for Image Captioning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Dynamic Anchor Learning for Arbitrary-Oriented Object Detection |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Dynamic Automaton-Guided Reward Shaping for Monte Carlo Tree Search |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Dynamic Graph Representation Learning for Video Dialog via Multi-Modal Shuffled Transformers |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Dynamic Hybrid Relation Exploration Network for Cross-Domain Context-Dependent Semantic Parsing |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Dynamic Knowledge Graph Alignment |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Dynamic Memory based Attention Network for Sequential Recommendation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Dynamic Modeling Cross- and Self-Lattice Attention Network for Chinese NER |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Dynamic Multi-Context Attention Networks for Citation Forecasting of Scientific Publications |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Dynamic Neuro-Symbolic Knowledge Graph Construction for Zero-shot Commonsense Question Answering |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Dynamic Position-aware Network for Fine-grained Image Recognition |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Dynamic to Static Lidar Scan Reconstruction Using Adversarially Trained Auto Encoder |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Dynamically Grown Generative Adversarial Networks |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| ECG ODE-GAN: Learning Ordinary Differential Equations of ECG Dynamics via Generative Adversarial Learning |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| EECBS: A Bounded-Suboptimal Search for Multi-Agent Path Finding |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| EMLight: Lighting Estimation via Spherical Distribution Approximation |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| EQG-RACE: Examination-Type Question Generation |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| ERNIE-ViL: Knowledge Enhanced Vision-Language Representations through Scene Graphs |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| ESCAPED: Efficient Secure and Private Dot Product Framework for Kernel-based Machine Learning Algorithms with Applications in Healthcare |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Edge-competing Pathological Liver Vessel Segmentation with Limited Labels |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Effective Slot Filling via Weakly-Supervised Dual-Model Learning |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Efficient Bayesian Network Structure Learning via Parameterized Local Search on Topological Orderings |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Efficient Certification of Spatial Robustness |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Efficient Classification with Adaptive KNN |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Efficient Deep Image Denoising via Class Specific Convolution |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Efficient Folded Attention for Medical Image Reconstruction and Segmentation |
❌ |
✅ |
❌ |
✅ |
✅ |
❌ |
✅ |
4 |
| Efficient License Plate Recognition via Holistic Position Attention |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Efficient Object-Level Visual Context Modeling for Multimodal Machine Translation: Masking Irrelevant Objects Helps Grounding |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Efficient On-Chip Learning for Optical Neural Networks Through Power-Aware Sparse Zeroth-Order Optimization |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Efficient Optimal Selection for Composited Advertising Creatives with Tree Structure |
✅ |
✅ |
❌ |
❌ |
✅ |
❌ |
✅ |
4 |
| Efficient Poverty Mapping from High Resolution Remote Sensing Images |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Efficient Querying for Cooperative Probabilistic Commitments |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Efficient Truthful Scheduling and Resource Allocation through Monitoring |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| EfficientDeRain: Learning Pixel-wise Dilation Filtering for High-Efficiency Single-Image Deraining |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Elastic Consistency: A Practical Consistency Model for Distributed Stochastic Gradient Descent |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
❌ |
2 |
| Embedding Heterogeneous Networks into Hyperbolic Space Without Meta-path |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Embodied Visual Active Learning for Semantic Segmentation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Embracing Domain Differences in Fake News: Cross-domain Fake News Detection using Multi-modal Data |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Empirical Regularization for Synthetic Sentence Pairs in Unsupervised Neural Machine Translation |
✅ |
❌ |
✅ |
❌ |
❌ |
✅ |
✅ |
4 |
| Empower Distantly Supervised Relation Extraction with Collaborative Adversarial Training |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Empowering Adaptive Early-Exit Inference with Latency Awareness |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Enabling Fast Instruction-Based Modification of Learned Robot Skills |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Enabling Fast and Universal Audio Adversarial Attack Using Generative Model |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Encoder-Decoder Based Unified Semantic Role Labeling with Label-Aware Syntax |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Encoding Human Domain Knowledge to Warm Start Reinforcement Learning |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
3 |
| Encoding Syntactic Knowledge in Transformer Encoder for Intent Detection and Slot Filling |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| End-to-End Differentiable Learning to HDR Image Synthesis for Multi-exposure Images |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| End-to-end Semantic Role Labeling with Neural Transition-based Model |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Endomorphisms of Classical Planning Tasks |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Enhanced Audio Tagging via Multi- to Single-Modal Teacher-Student Mutual Learning |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Enhanced Regularizers for Attributional Robustness |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Enhancing Audio-Visual Association with Self-Supervised Curriculum Learning |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Enhancing Balanced Graph Edge Partition with Effective Local Search |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| Enhancing Parameter-Free Frank Wolfe with an Extra Subproblem |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Enhancing Scientific Papers Summarization with Citation Graph |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Enhancing Unsupervised Video Representation Learning by Decoupling the Scene and the Motion |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Entity Guided Question Generation with Contextual Structure and Sequence Information Capturing |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Entity Structure Within and Throughout: Modeling Mention Dependencies for Document-Level Relation Extraction |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Epistemic Logic of Know-Who |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Equitable Scheduling on a Single Machine |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Equivalent Causal Models |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Error-Aware Density Isomorphism Reconstruction for Unsupervised Cross-Domain Crowd Counting |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Error-Correcting Output Codes with Ensemble Diversity for Robust Learning in Neural Networks |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Escaping Local Optima with Non-Elitist Evolutionary Algorithms |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| Estimating Calibrated Individualized Survival Curves with Deep Learning |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Estimating Identifiable Causal Effects through Double Machine Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Estimating the Number of Induced Subgraphs from Incomplete Data and Neighborhood Queries |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Estimating α-Rank by Maximizing Information Gain |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
3 |
| Estimation of Spectral Risk Measures |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Ethical Dilemmas in Strategic Games |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Ethically Compliant Sequential Decision Making |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| EvaLDA: Efficient Evasion Attacks Towards Latent Dirichlet Allocation |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Evidence Inference Networks for Interpretable Claim Verification |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Evolution Strategies for Approximate Solution of Bayesian Games |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
3 |
| Evolutionary Approach for AutoAugment Using the Thermodynamical Genetic Algorithm |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Evolutionary Game Theory Squared: Evolving Agents in Endogenously Evolving Zero-Sum Games |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| ExGAN: Adversarial Generation of Extreme Samples |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
6 |
| Exacerbating Algorithmic Bias through Fairness Attacks |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Exact Reduction of Huge Action Spaces in General Reinforcement Learning |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Expected Eligibility Traces |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Expected Value of Communication for Planning in Ad Hoc Teamwork |
✅ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| Explainable Models with Consistent Interpretations |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Explaining A Black-box By Using A Deep Variational Information Bottleneck Approach |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Explaining Convolutional Neural Networks through Attribution-Based Input Sampling and Block-Wise Feature Aggregation |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Explaining Neural Matrix Factorization with Gradient Rollback |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
❌ |
3 |
| Explanation Consistency Training: Facilitating Consistency-Based Semi-Supervised Learning with Interpretability |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Explicitly Modeled Attention Maps for Image Classification |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Exploiting Audio-Visual Consistency with Partial Supervision for Spatial Audio Generation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Exploiting Behavioral Consistence for Universal User Representation |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Exploiting Diverse Characteristics and Adversarial Ambivalence for Domain Adaptive Segmentation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Exploiting Learnable Joint Groups for Hand Pose Estimation |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Exploiting Relationship for Complex-scene Image Generation |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Exploiting Sample Uncertainty for Domain Adaptive Person Re-Identification |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Exploiting Unlabeled Data via Partial Label Assignment for Multi-Class Semi-Supervised Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Exploration by Maximizing Renyi Entropy for Reward-Free RL Framework |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Exploration via State influence Modeling |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Exploration-Exploitation in Multi-Agent Learning: Catastrophe Theory Meets Game Theory |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Exploratory Machine Learning with Unknown Unknowns |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Exploring Auxiliary Reasoning Tasks for Task-oriented Dialog Systems with Meta Cooperative Learning |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Exploring Explainable Selection to Control Abstractive Summarization |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
5 |
| Exploring Transfer Learning For End-to-End Spoken Language Understanding |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Exploring the Vulnerability of Deep Neural Networks: A Study of Parameter Corruption |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Extending Multi-Sense Word Embedding to Phrases and Sentences for Unsupervised Semantic Applications |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Extracting Zero-shot Structured Information from Form-like Documents: Pretraining with Keys and Triggers |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Extreme k-Center Clustering |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| F2Net: Learning to Focus on the Foreground for Unsupervised Video Object Segmentation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| FC-GAGA: Fully Connected Gated Graph Architecture for Spatio-Temporal Traffic Forecasting |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| FCFR-Net: Feature Fusion based Coarse-to-Fine Residual Learning for Depth Completion |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| FILTER: An Enhanced Fusion Method for Cross-lingual Language Understanding |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| FIMAP: Feature Importance by Minimal Adversarial Perturbation |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| FIXMYPOSE: Pose Correctional Captioning and Retrieval |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| FL-MSRE: A Few-Shot Learning based Approach to Multimodal Social Relation Extraction |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| FLAME: Differentially Private Federated Learning in the Shuffle Model |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| FaceController: Controllable Attribute Editing for Face in the Wild |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Facility’s Perspective to Fair Facility Location Problems |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Fact-Enhanced Synthetic News Generation |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Fair Influence Maximization: a Welfare Optimization Approach |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Fair Representations by Compression |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Fair and Efficient Allocations under Lexicographic Preferences |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
3 |
| Fair and Efficient Allocations under Subadditive Valuations |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Fair and Efficient Allocations with Limited Demands |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Fair and Efficient Online Allocations with Normalized Valuations |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Fair and Truthful Mechanisms for Dichotomous Valuations |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Fairness in Forecasting and Learning Linear Dynamical Systems |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Fairness, Semi-Supervised Learning, and More: A General Framework for Clustering with Stochastic Pairwise Constraints |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| Fairness-aware News Recommendation with Decomposed Adversarial Learning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Fake it Till You Make it: Self-Supervised Semantic Shifts for Monolingual Word Embedding Tasks |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Fast Multi-view Discrete Clustering with Anchor Graphs |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Fast PCA in 1-D Wasserstein Spaces via B-splines Representation and Metric Projection |
❌ |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
5 |
| Fast Training of Provably Robust Neural Networks by SingleProp |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Fast and Compact Bilinear Pooling by Shifted Random Maclaurin |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Fast and Scalable Adversarial Training of Kernel SVM via Doubly Stochastic Gradients |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Faster Depth-Adaptive Transformers |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Faster Game Solving via Predictive Blackwell Approachability: Connecting Regret Matching and Mirror Descent |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Faster Stackelberg Planning via Symbolic Search and Information Sharing |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Faster and Better Simple Temporal Problems |
✅ |
✅ |
❌ |
❌ |
✅ |
✅ |
✅ |
5 |
| FedRec++: Lossless Federated Recommendation with Explicit Feedback |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Federated Block Coordinate Descent Scheme for Learning Global and Personalized Models |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Federated Multi-Armed Bandits |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Few-Shot Class-Incremental Learning via Relation Knowledge Distillation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Few-Shot Lifelong Learning |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Few-Shot One-Class Classification via Meta-Learning |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Few-shot Font Generation with Localized Style Representations and Factorization |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Few-shot Learning for Multi-label Intent Detection |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Filling the Gap of Utterance-aware and Speaker-aware Representation for Multi-turn Dialogue |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Finding Diverse Trees, Paths, and More |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Finding Sparse Structures for Domain Specific Neural Machine Translation |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Finding and Certifying (Near-)Optimal Strategies in Black-Box Extensive-Form Games |
✅ |
❌ |
✅ |
❌ |
❌ |
✅ |
✅ |
4 |
| Fine-grained Generalization Analysis of Vector-Valued Learning |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Fitting the Search Space of Weight-sharing NAS with Graph Convolutional Networks |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Flexible Non-Autoregressive Extractive Summarization with Threshold: How to Extract a Non-Fixed Number of Summary Sentences |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Flow-based Generative Models for Learning Manifold to Manifold Mappings |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Focused Inference and System P |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| FontRL: Chinese Font Synthesis via Deep Reinforcement Learning |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Fooling Thermal Infrared Pedestrian Detectors in Real World Using Small Bulbs |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Forming Better Stable Solutions in Group Formation Games Inspired by Internet Exchange Points (IXPs) |
✅ |
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| FracBits: Mixed Precision Quantization via Fractional Bit-Widths |
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| Fractal Autoencoders for Feature Selection |
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| Frequency Consistent Adaptation for Real World Super Resolution |
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| Frivolous Units: Wider Networks Are Not Really That Wide |
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| From Behavioral Theories to Econometrics: Inferring Preferences of Human Agents from Data on Repeated Interactions |
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| From Label Smoothing to Label Relaxation |
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| Frugal Optimization for Cost-related Hyperparameters |
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| Fully Exploiting Cascade Graphs for Real-time Forwarding Prediction |
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| Fully-Connected Tensor Network Decomposition and Its Application to Higher-Order Tensor Completion |
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| Future-Guided Incremental Transformer for Simultaneous Translation |
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| GAN Ensemble for Anomaly Detection |
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| GATE: Graph Attention Transformer Encoder for Cross-lingual Relation and Event Extraction |
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| GDPNet: Refining Latent Multi-View Graph for Relation Extraction |
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| GENSYNTH: Synthesizing Datalog Programs without Language Bias |
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| GIF Thumbnails: Attract More Clicks to Your Videos |
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| GLIB: Efficient Exploration for Relational Model-Based Reinforcement Learning via Goal-Literal Babbling |
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| GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning |
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| GO Hessian for Expectation-Based Objectives |
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5 |
| GRASP: Generic Framework for Health Status Representation Learning Based on Incorporating Knowledge from Similar Patients |
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| GSNet: Learning Spatial-Temporal Correlations from Geographical and Semantic Aspects for Traffic Accident Risk Forecasting |
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| GTA: Graph Truncated Attention for Retrosynthesis |
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| Gaining Insight into SARS-CoV-2 Infection and COVID-19 Severity Using Self-supervised Edge Features and Graph Neural Networks |
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| Game of Gradients: Mitigating Irrelevant Clients in Federated Learning |
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| Gated Linear Networks |
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| Gaussian Process Priors for View-Aware Inference |
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| GaussianPath:A Bayesian Multi-Hop Reasoning Framework for Knowledge Graph Reasoning |
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| Gene Regulatory Network Inference as Relaxed Graph Matching |
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| Gene Regulatory Network Inference using 3D Convolutional Neural Network |
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| General Policies, Representations, and Planning Width |
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| Generalising without Forgetting for Lifelong Person Re-Identification |
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| Generalizable Representation Learning for Mixture Domain Face Anti-Spoofing |
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| Generalization in Portfolio-Based Algorithm Selection |
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| Generalize a Small Pre-trained Model to Arbitrarily Large TSP Instances |
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| Generalized Adversarially Learned Inference |
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| Generalized Relation Learning with Semantic Correlation Awareness for Link Prediction |
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| Generalized Zero-Shot Learning via Disentangled Representation |
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| Generate Your Counterfactuals: Towards Controlled Counterfactual Generation for Text |
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| Generating CCG Categories |
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| Generating Diversified Comments via Reader-Aware Topic Modeling and Saliency Detection |
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| Generating Natural Language Attacks in a Hard Label Black Box Setting |
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| Generative Partial Visual-Tactile Fused Object Clustering |
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| Generative Semi-supervised Learning for Multivariate Time Series Imputation |
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| Geodesic-HOF: 3D Reconstruction Without Cutting Corners |
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| GoT: a Growing Tree Model for Clustering Ensemble |
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| Goal Blending for Responsive Shared Autonomy in a Navigating Vehicle |
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| Going Deeper With Directly-Trained Larger Spiking Neural Networks |
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| Gradient Descent Averaging and Primal-dual Averaging for Strongly Convex Optimization |
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| Gradient Regularized Contrastive Learning for Continual Domain Adaptation |
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| GradingNet: Towards Providing Reliable Supervisions for Weakly Supervised Object Detection by Grading the Box Candidates |
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| Graph Game Embedding |
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| Graph Heterogeneous Multi-Relational Recommendation |
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| Graph Neural Network to Dilute Outliers for Refactoring Monolith Application |
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| Graph Neural Network-Based Anomaly Detection in Multivariate Time Series |
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| Graph Neural Networks with Heterophily |
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| Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos |
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| Graph-Based Tri-Attention Network for Answer Ranking in CQA |
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| Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based Recommendation |
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| Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation |
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| Graph-to-Graph: Towards Accurate and Interpretable Online Handwritten Mathematical Expression Recognition |
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| GraphMSE: Efficient Meta-path Selection in Semantically Aligned Feature Space for Graph Neural Networks |
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| GraphMix: Improved Training of GNNs for Semi-Supervised Learning |
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| Group Fairness by Probabilistic Modeling with Latent Fair Decisions |
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| Group Testing on a Network |
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| Group-Wise Semantic Mining for Weakly Supervised Semantic Segmentation |
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| Guiding Non-Autoregressive Neural Machine Translation Decoding with Reordering Information |
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| HARGAN: Heterogeneous Argument Attention Network for Persuasiveness Prediction |
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| HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference |
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| HMS: A Hierarchical Solver with Dependency-Enhanced Understanding for Math Word Problem |
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| HR-Depth: High Resolution Self-Supervised Monocular Depth Estimation |
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| Hand-Model-Aware Sign Language Recognition |
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| Harmonized Dense Knowledge Distillation Training for Multi-Exit Architectures |
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| Have We Solved The Hard Problem? It’s Not Easy! Contextual Lexical Contrast as a Means to Probe Neural Coherence |
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| Heterogeneous Graph Structure Learning for Graph Neural Networks |
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| HiABP: Hierarchical Initialized ABP for Unsupervised Representation Learning |
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| HiGAN: Handwriting Imitation Conditioned on Arbitrary-Length Texts and Disentangled Styles |
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| Hierarchical Coherence Modeling for Document Quality Assessment |
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| Hierarchical Graph Capsule Network |
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| Hierarchical Graph Convolution Network for Traffic Forecasting |
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| Hierarchical Information Passing Based Noise-Tolerant Hybrid Learning for Semi-Supervised Human Parsing |
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| Hierarchical Macro Discourse Parsing Based on Topic Segmentation |
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| Hierarchical Multiple Kernel Clustering |
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| Hierarchical Negative Binomial Factorization for Recommender Systems on Implicit Feedback |
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| Hierarchical Reinforcement Learning for Integrated Recommendation |
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| Hierarchical Relational Inference |
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| Hierarchically and Cooperatively Learning Traffic Signal Control |
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| High Dimensional Level Set Estimation with Bayesian Neural Network |
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| High Fidelity GAN Inversion via Prior Multi-Subspace Feature Composition |
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| High-Confidence Off-Policy (or Counterfactual) Variance Estimation |
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| High-Dimensional Bayesian Optimization via Tree-Structured Additive Models |
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5 |
| High-Resolution Deep Image Matting |
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| Hindsight and Sequential Rationality of Correlated Play |
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| Holistic Multi-View Building Analysis in the Wild with Projection Pooling |
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| HopRetriever: Retrieve Hops over Wikipedia to Answer Complex Questions |
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| How Do We Move: Modeling Human Movement with System Dynamics |
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| How Does Data Augmentation Affect Privacy in Machine Learning? |
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| How Does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation Approaches? |
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| How Linguistically Fair Are Multilingual Pre-Trained Language Models? |
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| How RL Agents Behave When Their Actions Are Modified |
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| How Robust are Model Rankings : A Leaderboard Customization Approach for Equitable Evaluation |
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| How to Save your Annotation Cost for Panoptic Segmentation? |
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| How to Train Your Agent to Read and Write |
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3 |
| Human Uncertainty Inference via Deterministic Ensemble Neural Networks |
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| Human-Level Interpretable Learning for Aspect-Based Sentiment Analysis |
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4 |
| Humor Knowledge Enriched Transformer for Understanding Multimodal Humor |
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| HyDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks |
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4 |
| Hybrid-order Stochastic Block Model |
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| Hyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs |
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4 |
| Hypothesis Disparity Regularized Mutual Information Maximization |
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| I3DOL: Incremental 3D Object Learning without Catastrophic Forgetting |
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| IA-GM: A Deep Bidirectional Learning Method for Graph Matching |
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| IB-GAN: Disentangled Representation Learning with Information Bottleneck Generative Adversarial Networks |
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| IDOL: Inertial Deep Orientation-Estimation and Localization |
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| Identity-aware Graph Neural Networks |
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| Ideography Leads Us to the Field of Cognition: A Radical-Guided Associative Model for Chinese Text Classification |
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| If You Like Shapley Then You’ll Love the Core |
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| Illuminating Mario Scenes in the Latent Space of a Generative Adversarial Network |
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| Image Captioning with Context-Aware Auxiliary Guidance |
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| Image-to-Image Retrieval by Learning Similarity between Scene Graphs |
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| Imagine, Reason and Write: Visual Storytelling with Graph Knowledge and Relational Reasoning |
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3 |
| Implicit Kernel Attention |
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| Improved Consistency Regularization for GANs |
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| Improved Knowledge Modeling and Its Use for Signaling in Multi-Agent Planning with Partial Observability |
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| Improved Mutual Information Estimation |
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4 |
| Improved POMDP Tree Search Planning with Prioritized Action Branching |
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| Improved Penalty Method via Doubly Stochastic Gradients for Bilevel Hyperparameter Optimization |
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4 |
| Improved Worst-Case Regret Bounds for Randomized Least-Squares Value Iteration |
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1 |
| Improving Adversarial Robustness via Probabilistically Compact Loss with Logit Constraints |
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3 |
| Improving Causal Discovery By Optimal Bayesian Network Learning |
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2 |
| Improving Commonsense Causal Reasoning by Adversarial Training and Data Augmentation |
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3 |
| Improving Continuous-time Conflict Based Search |
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4 |
| Improving Ensemble Robustness by Collaboratively Promoting and Demoting Adversarial Robustness |
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3 |
| Improving Fairness and Privacy in Selection Problems |
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1 |
| Improving Generative Moment Matching Networks with Distribution Partition |
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5 |
| Improving Gradient Flow with Unrolled Highway Expectation Maximization |
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2 |
| Improving Image Captioning by Leveraging Intra- and Inter-layer Global Representation in Transformer Network |
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3 |
| Improving Maximum k-plex Solver via Second-Order Reduction and Graph Color Bounding |
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5 |
| Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active Queries |
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3 |
| Improving Robustness to Model Inversion Attacks via Mutual Information Regularization |
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1 |
| Improving Sample Efficiency in Model-Free Reinforcement Learning from Images |
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2 |
| Improving Tree-Structured Decoder Training for Code Generation via Mutual Learning |
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5 |
| Improving the Efficiency and Effectiveness for BERT-based Entity Resolution |
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5 |
| Improving the Performance-Compatibility Tradeoff with Personalized Objective Functions |
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3 |
| In-game Residential Home Planning via Visual Context-aware Global Relation Learning |
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3 |
| Incentive-Aware PAC Learning |
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0 |
| Incentivizing Truthfulness Through Audits in Strategic Classification |
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0 |
| Increasing Iterate Averaging for Solving Saddle-Point Problems |
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3 |
| Incremental Embedding Learning via Zero-Shot Translation |
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3 |
| Indecision Modeling |
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2 |
| Individual Fairness in Kidney Exchange Programs |
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4 |
| Inductive Graph Neural Networks for Spatiotemporal Kriging |
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4 |
| Inference Fusion with Associative Semantics for Unseen Object Detection |
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5 |
| Inference-Based Deterministic Messaging For Multi-Agent Communication |
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1 |
| Inferring Camouflaged Objects by Texture-Aware Interactive Guidance Network |
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3 |
| Inferring Emotion from Large-scale Internet Voice Data: A Semi-supervised Curriculum Augmentation based Deep Learning Approach |
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3 |
| Infinite Gaussian Mixture Modeling with an Improved Estimation of the Number of Clusters |
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4 |
| Infinite-Dimensional Fisher Markets: Equilibrium, Duality and Optimization |
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1 |
| Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting |
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6 |
| Infusing Multi-Source Knowledge with Heterogeneous Graph Neural Network for Emotional Conversation Generation |
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3 |
| Initiative Defense against Facial Manipulation |
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3 |
| Instance Mining with Class Feature Banks for Weakly Supervised Object Detection |
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5 |
| Instrumental Variable-based Identification for Causal Effects using Covariate Information |
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| Integrated Optimization of Bipartite Matching and Its Stochastic Behavior: New Formulation and Approximation Algorithm via Min-cost Flow Optimization |
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3 |
| Integrating Static and Dynamic Data for Improved Prediction of Cognitive Declines Using Augmented Genotype-Phenotype Representations |
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3 |
| Interactive Speech and Noise Modeling for Speech Enhancement |
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2 |
| Interpretable Actions: Controlling Experts with Understandable Commands |
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3 |
| Interpretable Clustering on Dynamic Graphs with Recurrent Graph Neural Networks |
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5 |
| Interpretable Embedding Procedure Knowledge Transfer via Stacked Principal Component Analysis and Graph Neural Network |
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2 |
| Interpretable Graph Capsule Networks for Object Recognition |
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3 |
| Interpretable NLG for Task-oriented Dialogue Systems with Heterogeneous Rendering Machines |
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4 |
| Interpretable Self-Supervised Facial Micro-Expression Learning to Predict Cognitive State and Neurological Disorders |
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2 |
| Interpretable Sequence Classification via Discrete Optimization |
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3 |
| Interpreting Deep Neural Networks with Relative Sectional Propagation by Analyzing Comparative Gradients and Hostile Activations |
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2 |
| Interpreting Multivariate Shapley Interactions in DNNs |
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2 |
| Interpreting Neural Networks as Quantitative Argumentation Frameworks |
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1 |
| Intrinsic Certified Robustness of Bagging against Data Poisoning Attacks |
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5 |
| Invariant Teacher and Equivariant Student for Unsupervised 3D Human Pose Estimation |
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2 |
| Inverse Reinforcement Learning From Like-Minded Teachers |
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1 |
| Inverse Reinforcement Learning with Explicit Policy Estimates |
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1 |
| Inverse Reinforcement Learning with Natural Language Goals |
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3 |
| Invertible Concept-based Explanations for CNN Models with Non-negative Concept Activation Vectors |
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3 |
| Investigate Indistinguishable Points in Semantic Segmentation of 3D Point Cloud |
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4 |
| Is the Most Accurate AI the Best Teammate? Optimizing AI for Teamwork |
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3 |
| IsoBN: Fine-Tuning BERT with Isotropic Batch Normalization |
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4 |
| Isolation Graph Kernel |
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6 |
| It Takes Two to Empathize: One to Seek and One to Provide |
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2 |
| Iterative Bounding MDPs: Learning Interpretable Policies via Non-Interpretable Methods |
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2 |
| Iterative Utterance Segmentation for Neural Semantic Parsing |
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3 |
| Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal Networks |
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4 |
| Joint Color-irrelevant Consistency Learning and Identity-aware Modality Adaptation for Visible-infrared Cross Modality Person Re-identification |
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4 |
| Joint Demosaicking and Denoising in the Wild: The Case of Training Under Ground Truth Uncertainty |
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3 |
| Joint Semantic Analysis with Document-Level Cross-Task Coherence Rewards |
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6 |
| Joint Semantic-geometric Learning for Polygonal Building Segmentation |
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3 |
| Joint-Label Learning by Dual Augmentation for Time Series Classification |
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4 |
| Judgment Prediction via Injecting Legal Knowledge into Neural Networks |
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4 |
| Justicia: A Stochastic SAT Approach to Formally Verify Fairness |
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3 |
| KAN: Knowledge-aware Attention Network for Fake News Detection |
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3 |
| KEML: A Knowledge-Enriched Meta-Learning Framework for Lexical Relation Classification |
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5 |
| KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning |
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3 |
| KGDet: Keypoint-Guided Fashion Detection |
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4 |
| Kernel-convoluted Deep Neural Networks with Data Augmentation |
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4 |
| Keyword-Guided Neural Conversational Model |
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3 |
| Knowledge Refactoring for Inductive Program Synthesis |
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4 |
| Knowledge Refinery: Learning from Decoupled Label |
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5 |
| Knowledge-Base Degrees of Inconsistency: Complexity and Counting |
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1 |
| Knowledge-Driven Distractor Generation for Cloze-Style Multiple Choice Questions |
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4 |
| Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation |
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3 |
| Knowledge-Enhanced Top-K Recommendation in Poincaré Ball |
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5 |
| Knowledge-Guided Object Discovery with Acquired Deep Impressions |
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2 |
| Knowledge-aware Coupled Graph Neural Network for Social Recommendation |
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2 |
| Knowledge-aware Leap-LSTM: Integrating Prior Knowledge into Leap-LSTM towards Faster Long Text Classification |
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4 |
| Knowledge-aware Named Entity Recognition with Alleviating Heterogeneity |
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2 |
| Knowledge-driven Data Construction for Zero-shot Evaluation in Commonsense Question Answering |
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4 |
| Knowledge-driven Natural Language Understanding of English Text and its Applications |
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3 |
| LCollision: Fast Generation of Collision-Free Human Poses using Learned Non-Penetration Constraints |
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5 |
| LET: Linguistic Knowledge Enhanced Graph Transformer for Chinese Short Text Matching |
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4 |
| LIREx: Augmenting Language Inference with Relevant Explanations |
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4 |
| LRC-BERT: Latent-representation Contrastive Knowledge Distillation for Natural Language Understanding |
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3 |
| LREN: Low-Rank Embedded Network for Sample-Free Hyperspectral Anomaly Detection |
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4 |
| LRSC: Learning Representations for Subspace Clustering |
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2 |
| Label Confusion Learning to Enhance Text Classification Models |
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4 |
| Landmark Generation in HTN Planning |
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4 |
| Large Batch Optimization for Deep Learning Using New Complete Layer-Wise Adaptive Rate Scaling |
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5 |
| Large Motion Video Super-Resolution with Dual Subnet and Multi-Stage Communicated Upsampling |
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4 |
| Large Norms of CNN Layers Do Not Hurt Adversarial Robustness |
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5 |
| Latent Independent Excitation for Generalizable Sensor-based Cross-Person Activity Recognition |
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4 |
| Learnable Dynamic Temporal Pooling for Time Series Classification |
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4 |
| Learned Bi-Resolution Image Coding using Generalized Octave Convolutions |
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2 |
| Learned Extragradient ISTA with Interpretable Residual Structures for Sparse Coding |
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2 |
| Learning Accurate and Interpretable Decision Rule Sets from Neural Networks |
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3 |
| Learning Adjustment Sets from Observational and Limited Experimental Data |
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3 |
| Learning Branching Heuristics for Propositional Model Counting |
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3 |
| Learning Complex 3D Human Self-Contact |
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3 |
| Learning Compositional Sparse Gaussian Processes with a Shrinkage Prior |
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1 |
| Learning Comprehensive Motion Representation for Action Recognition |
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4 |
| Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training |
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4 |
| Learning Continuous High-Dimensional Models using Mutual Information and Copula Bayesian Networks |
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4 |
| Learning Cycle-Consistent Cooperative Networks via Alternating MCMC Teaching for Unsupervised Cross-Domain Translation |
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5 |
| Learning Deep Generative Models for Queuing Systems |
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2 |
| Learning Disentangled Representation for Fair Facial Attribute Classification via Fairness-aware Information Alignment |
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3 |
| Learning Dynamics Models with Stable Invariant Sets |
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0 |
| Learning Energy-Based Model with Variational Auto-Encoder as Amortized Sampler |
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3 |
| Learning Flexibly Distributional Representation for Low-quality 3D Face Recognition |
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3 |
| Learning Game-Theoretic Models of Multiagent Trajectories Using Implicit Layers |
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5 |
| Learning General Planning Policies from Small Examples Without Supervision |
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4 |
| Learning Generalized Relational Heuristic Networks for Model-Agnostic Planning |
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4 |
| Learning Geometry-Disentangled Representation for Complementary Understanding of 3D Object Point Cloud |
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2 |
| Learning Graph Neural Networks with Approximate Gradient Descent |
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2 |
| Learning Graphons via Structured Gromov-Wasserstein Barycenters |
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5 |
| Learning Hybrid Relationships for Person Re-identification |
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2 |
| Learning Intact Features by Erasing-Inpainting for Few-shot Classification |
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4 |
| Learning Interpretable Models for Coupled Networks Under Domain Constraints |
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4 |
| Learning Intuitive Physics with Multimodal Generative Models |
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✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Learning Invariant Representations using Inverse Contrastive Loss |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Learning Light-Weight Translation Models from Deep Transformer |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Learning Local Neighboring Structure for Robust 3D Shape Representation |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Learning Modality-Specific Representations with Self-Supervised Multi-Task Learning for Multimodal Sentiment Analysis |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Learning Model-Based Privacy Protection under Budget Constraints |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Learning Modulated Loss for Rotated Object Detection |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Learning Omni-Frequency Region-adaptive Representations for Real Image Super-Resolution |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Learning Precise Temporal Point Event Detection with Misaligned Labels |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Learning Prediction Intervals for Model Performance |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Learning Representations for Incomplete Time Series Clustering |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Learning Rewards From Linguistic Feedback |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Learning Semantic Context from Normal Samples for Unsupervised Anomaly Detection |
❌ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
4 |
| Learning Set Functions that are Sparse in Non-Orthogonal Fourier Bases |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Learning Task-Distribution Reward Shaping with Meta-Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Learning Term Embeddings for Lexical Taxonomies |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Learning To Scale Mixed-Integer Programs |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
✅ |
3 |
| Learning Visual Context for Group Activity Recognition |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Learning a Few-shot Embedding Model with Contrastive Learning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Learning a Gradient-free Riemannian Optimizer on Tangent Spaces |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Learning an Effective Context-Response Matching Model with Self-Supervised Tasks for Retrieval-based Dialogues |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Learning by Fixing: Solving Math Word Problems with Weak Supervision |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Learning from Crowds by Modeling Common Confusions |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Learning from History: Modeling Temporal Knowledge Graphs with Sequential Copy-Generation Networks |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Learning from My Friends: Few-Shot Personalized Conversation Systems via Social Networks |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Learning from Noisy Labels with Complementary Loss Functions |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Learning from eXtreme Bandit Feedback |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Learning from the Best: Rationalizing Predictions by Adversarial Information Calibration |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Learning of Structurally Unambiguous Probabilistic Grammars |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Learning the Parameters of Bayesian Networks from Uncertain Data |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
3 |
| Learning to Attack Real-World Models for Person Re-identification via Virtual-Guided Meta-Learning |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Learning to Augment for Data-scarce Domain BERT Knowledge Distillation |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Learning to Cascade: Confidence Calibration for Improving the Accuracy and Computational Cost of Cascade Inference Systems |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Learning to Check Contract Inconsistencies |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
❌ |
3 |
| Learning to Copy Coherent Knowledge for Response Generation |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Learning to Count via Unbalanced Optimal Transport |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Learning to Pre-train Graph Neural Networks |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Learning to Purify Noisy Labels via Meta Soft Label Corrector |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Learning to Rationalize for Nonmonotonic Reasoning with Distant Supervision |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Learning to Recommend from Sparse Data via Generative User Feedback |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Learning to Resolve Conflicts for Multi-Agent Path Finding with Conflict-Based Search |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Learning to Reweight Imaginary Transitions for Model-Based Reinforcement Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Learning to Reweight with Deep Interactions |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Learning to Sit: Synthesizing Human-Chair Interactions via Hierarchical Control |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Learning to Stop: Dynamic Simulation Monte-Carlo Tree Search |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Learning to Truncate Ranked Lists for Information Retrieval |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Learning with Group Noise |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Learning with Retrospection |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Learning with Safety Constraints: Sample Complexity of Reinforcement Learning for Constrained MDPs |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Lenient Regret for Multi-Armed Bandits |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Leveraging Table Content for Zero-shot Text-to-SQL with Meta-Learning |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Lexically Constrained Neural Machine Translation with Explicit Alignment Guidance |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| Lifelong Multi-Agent Path Finding in Large-Scale Warehouses |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| LightXML: Transformer with Dynamic Negative Sampling for High-Performance Extreme Multi-label Text Classification |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Linearly Replaceable Filters for Deep Network Channel Pruning |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Lipschitz Lifelong Reinforcement Learning |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Liquid Time-constant Networks |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Listen, Understand and Translate: Triple Supervision Decouples End-to-end Speech-to-text Translation |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Living Without Beth and Craig: Definitions and Interpolants in Description Logics with Nominals and Role Inclusions |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Local Differential Privacy for Bayesian Optimization |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Local Relation Learning for Face Forgery Detection |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Localization in the Crowd with Topological Constraints |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Locate Globally, Segment Locally: A Progressive Architecture With Knowledge Review Network for Salient Object Detection |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Longitudinal Deep Kernel Gaussian Process Regression |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Looking Wider for Better Adaptive Representation in Few-Shot Learning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Loop Estimator for Discounted Values in Markov Reward Processes |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Low-Rank Registration Based Manifolds for Convection-Dominated PDEs |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| MAMBA: Multi-level Aggregation via Memory Bank for Video Object Detection |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| MANGO: A Mask Attention Guided One-Stage Scene Text Spotter |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| MARTA: Leveraging Human Rationales for Explainable Text Classification |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
4 |
| MASKER: Masked Keyword Regularization for Reliable Text Classification |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| MELINDA: A Multimodal Dataset for Biomedical Experiment Method Classification |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| MERL: Multimodal Event Representation Learning in Heterogeneous Embedding Spaces |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| MFES-HB: Efficient Hyperband with Multi-Fidelity Quality Measurements |
✅ |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| MIEHDR CNN: Main Image Enhancement based Ghost-Free High Dynamic Range Imaging using Dual-Lens Systems |
❌ |
❌ |
❌ |
❌ |
✅ |
✅ |
✅ |
3 |
| MIMOSA: Multi-constraint Molecule Sampling for Molecule Optimization |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| MLE-Guided Parameter Search for Task Loss Minimization in Neural Sequence Modeling |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| MTAAL: Multi-Task Adversarial Active Learning for Medical Named Entity Recognition and Normalization |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| MUFASA: Multimodal Fusion Architecture Search for Electronic Health Records |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| MVFNet: Multi-View Fusion Network for Efficient Video Recognition |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Maintenance of Social Commitments in Multiagent Systems |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Majority Opinion Diffusion in Social Networks: An Adversarial Approach |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Making the Relation Matters: Relation of Relation Learning Network for Sentence Semantic Matching |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| MangaGAN: Unpaired Photo-to-Manga Translation Based on The Methodology of Manga Drawing |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Many-to-One Distribution Learning and K-Nearest Neighbor Smoothing for Thoracic Disease Identification |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Margin of Victory in Tournaments: Structural and Experimental Results |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Market-Based Explanations of Collective Decisions |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Matching on Sets: Conquer Occluded Person Re-identification Without Alignment |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Maximin Fairness with Mixed Divisible and Indivisible Goods |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Maximum Roaming Multi-Task Learning |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| MeInGame: Create a Game Character Face from a Single Portrait |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| Mean-Variance Policy Iteration for Risk-Averse Reinforcement Learning |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Measuring Dependence with Matrix-based Entropy Functional |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Membership Privacy for Machine Learning Models Through Knowledge Transfer |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Memory and Computation-Efficient Kernel SVM via Binary Embedding and Ternary Model Coefficients |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Memory-Augmented Image Captioning |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Memory-Gated Recurrent Networks |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Mercer Features for Efficient Combinatorial Bayesian Optimization |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
❌ |
3 |
| Merging Statistical Feature via Adaptive Gate for Improved Text Classification |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Meta Label Correction for Noisy Label Learning |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Meta Learning for Causal Direction |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Meta-Curriculum Learning for Domain Adaptation in Neural Machine Translation |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Meta-Learning Effective Exploration Strategies for Contextual Bandits |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Meta-Learning Framework with Applications to Zero-Shot Time-Series Forecasting |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Meta-Transfer Learning for Low-Resource Abstractive Summarization |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| MetaAugment: Sample-Aware Data Augmentation Policy Learning |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Metrics and Continuity in Reinforcement Learning |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Mind the Gap: Cake Cutting With Separation |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Mind-the-Gap! Unsupervised Domain Adaptation for Text-Video Retrieval |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| MiniSeg: An Extremely Minimum Network for Efficient COVID-19 Segmentation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Minimax Regret Optimisation for Robust Planning in Uncertain Markov Decision Processes |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
4 |
| Minimizing Labeling Cost for Nuclei Instance Segmentation and Classification with Cross-domain Images and Weak Labels |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Minimum Robust Multi-Submodular Cover for Fairness |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Mining EL Bases with Adaptable Role Depth |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Model Uncertainty Guides Visual Object Tracking |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Model-Agnostic Fits for Understanding Information Seeking Patterns in Humans |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Model-Free Online Learning in Unknown Sequential Decision Making Problems and Games |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Model-sharing Games: Analyzing Federated Learning Under Voluntary Participation |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Modeling Deep Learning Based Privacy Attacks on Physical Mail |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Modeling Heterogeneous Relations across Multiple Modes for Potential Crowd Flow Prediction |
✅ |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| Modeling Voters in Multi-Winner Approval Voting |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| Modeling the Compatibility of Stem Tracks to Generate Music Mashups |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Modeling the Momentum Spillover Effect for Stock Prediction via Attribute-Driven Graph Attention Networks |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Modeling the Probabilistic Distribution of Unlabeled Data for One-shot Medical Image Segmentation |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Modular Graph Transformer Networks for Multi-Label Image Classification |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| MolGrow: A Graph Normalizing Flow for Hierarchical Molecular Generation |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| More the Merrier: Towards Multi-Emotion and Intensity Controllable Response Generation |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Motion-blurred Video Interpolation and Extrapolation |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Movie Summarization via Sparse Graph Construction |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Multi-Decoder Attention Model with Embedding Glimpse for Solving Vehicle Routing Problems |
❌ |
✅ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| Multi-Dimensional Explanation of Target Variables from Documents |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Multi-Document Transformer for Personality Detection |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Multi-Domain Multi-Task Rehearsal for Lifelong Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Multi-Goal Multi-Agent Path Finding via Decoupled and Integrated Goal Vertex Ordering |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| Multi-Objective Submodular Maximization by Regret Ratio Minimization with Theoretical Guarantee |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Multi-Party Campaigning |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Multi-Proxy Wasserstein Classifier for Image Classification |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Multi-Scale Games: Representing and Solving Games on Networks with Group Structure |
✅ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| Multi-Scale Spatial Temporal Graph Convolutional Network for Skeleton-Based Action Recognition |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Multi-SpectroGAN: High-Diversity and High-Fidelity Spectrogram Generation with Adversarial Style Combination for Speech Synthesis |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Multi-Task Recurrent Modular Networks |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Multi-View Feature Representation for Dialogue Generation with Bidirectional Distillation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Multi-View Information-Bottleneck Representation Learning |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Multi-View Representation Learning with Manifold Smoothness |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Multi-level Distance Regularization for Deep Metric Learning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Multi-modal Graph Fusion for Named Entity Recognition with Targeted Visual Guidance |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| Multi-modal Multi-label Emotion Recognition with Heterogeneous Hierarchical Message Passing |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Multi-scale Graph Fusion for Co-saliency Detection |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Multi-task Learning by Leveraging the Semantic Information |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Multi-type Disentanglement without Adversarial Training |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Multi-view Inference for Relation Extraction with Uncertain Knowledge |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| MultiTalk: A Highly-Branching Dialog Testbed for Diverse Conversations |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Multidimensional Uncertainty-Aware Evidential Neural Networks |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Multilingual Transfer Learning for QA using Translation as Data Augmentation |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Multimodal Fusion via Teacher-Student Network for Indoor Action Recognition |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Multinomial Logit Contextual Bandits: Provable Optimality and Practicality |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Multiple Kernel Clustering with Kernel k-Means Coupled Graph Tensor Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| NASGEM: Neural Architecture Search via Graph Embedding Method |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| NASTransfer: Analyzing Architecture Transferability in Large Scale Neural Architecture Search |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Narrative Plan Generation with Self-Supervised Learning |
❌ |
❌ |
❌ |
❌ |
✅ |
✅ |
✅ |
3 |
| Natural Language Inference in Context – Investigating Contextual Reasoning over Long Texts |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| NaturalConv: A Chinese Dialogue Dataset Towards Multi-turn Topic-driven Conversation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Near Lossless Transfer Learning for Spiking Neural Networks |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| Near-Optimal MNL Bandits Under Risk Criteria |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Near-Optimal Regret Bounds for Contextual Combinatorial Semi-Bandits with Linear Payoff Functions |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Nearest Neighbor Classifier Embedded Network for Active Learning |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Nearly Linear-Time, Parallelizable Algorithms for Non-Monotone Submodular Maximization |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Necessarily Optimal One-Sided Matchings |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Necessary and Sufficient Conditions for Avoiding Reopenings in Best First Suboptimal Search with General Bounding Functions |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Neighborhood Consensus Networks for Unsupervised Multi-view Outlier Detection |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Nested Named Entity Recognition with Partially-Observed TreeCRFs |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Network Satisfaction for Symmetric Relation Algebras with a Flexible Atom |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Neural Analogical Matching |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Neural Architecture Search as Sparse Supernet |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Neural Latent Space Model for Dynamic Networks and Temporal Knowledge Graphs |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Neural Relational Inference with Efficient Message Passing Mechanisms |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Neural Sentence Ordering Based on Constraint Graphs |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Neural Sentence Simplification with Semantic Dependency Information |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Neural Sequence-to-grid Module for Learning Symbolic Rules |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Neural Utility Functions |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Neural-Symbolic Integration: A Compositional Perspective |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| NeuralAC: Learning Cooperation and Competition Effects for Match Outcome Prediction |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
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6 |
| New Length Dependent Algorithm for Maximum Satisfiability Problem |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| News Content Completion with Location-Aware Image Selection |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Newton Optimization on Helmholtz Decomposition for Continuous Games |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Noise Estimation Using Density Estimation for Self-Supervised Multimodal Learning |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Non-Autoregressive Coarse-to-Fine Video Captioning |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Non-asymptotic Convergence of Adam-type Reinforcement Learning Algorithms under Markovian Sampling |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Noninvasive Self-attention for Side Information Fusion in Sequential Recommendation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Norm-Based Generalisation Bounds for Deep Multi-Class Convolutional Neural Networks |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| NuQClq: An Effective Local Search Algorithm for Maximum Quasi-Clique Problem |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Nutri-bullets: Summarizing Health Studies by Composing Segments |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Nyströmformer: A Nyström-based Algorithm for Approximating Self-Attention |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| OPQ: Compressing Deep Neural Networks with One-shot Pruning-Quantization |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| OT-Flow: Fast and Accurate Continuous Normalizing Flows via Optimal Transport |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
❌ |
3 |
| Object Relation Attention for Image Paragraph Captioning |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Object-Centric Image Generation from Layouts |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Objective-Based Hierarchical Clustering of Deep Embedding Vectors |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
❌ |
3 |
| On Continuous Local BDD-Based Search for Hybrid SAT Solving |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| On Convergence of Gradient Expected Sarsa(λ) |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| On Estimating Recommendation Evaluation Metrics under Sampling |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| On Exploiting Hitting Sets for Model Reconciliation |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| On Fair Division under Heterogeneous Matroid Constraints |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| On Fair and Efficient Allocations of Indivisible Goods |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| On Generating Plausible Counterfactual and Semi-Factual Explanations for Deep Learning |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
3 |
| On Lipschitz Regularization of Convolutional Layers using Toeplitz Matrix Theory |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
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4 |
| On Online Optimization: Dynamic Regret Analysis of Strongly Convex and Smooth Problems |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| On Scalar Embedding of Relative Positions in Attention Models |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| On the Adequacy of Untuned Warmup for Adaptive Optimization |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| On the Approximation of Nash Equilibria in Sparse Win-Lose Multi-player Games |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| On the Complexity of Finding Justifications for Collective Decisions |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| On the Complexity of Sum-of-Products Problems over Semirings |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| On the Convergence of Communication-Efficient Local SGD for Federated Learning |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| On the Importance of Word Order Information in Cross-lingual Sequence Labeling |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| On the Optimal Efficiency of A* with Dominance Pruning |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| On the PTAS for Maximin Shares in an Indivisible Mixed Manna |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| On the Softmax Bottleneck of Recurrent Language Models |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| On the Tractability of SHAP Explanations |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| On the Verification of Neural ODEs with Stochastic Guarantees |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| On-line Learning of Planning Domains from Sensor Data in PAL: Scaling up to Large State Spaces |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| On-the-fly Synthesis for LTL over Finite Traces |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
❌ |
3 |
| One SPRING to Rule Them Both: Symmetric AMR Semantic Parsing and Generation without a Complex Pipeline |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| One for More: Selecting Generalizable Samples for Generalizable ReID Model |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| One-shot Face Reenactment Using Appearance Adaptive Normalization |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| One-shot Graph Neural Architecture Search with Dynamic Search Space |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Online 3D Bin Packing with Constrained Deep Reinforcement Learning |
❌ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
2 |
| Online Action Recognition |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Online Class-Incremental Continual Learning with Adversarial Shapley Value |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Online DR-Submodular Maximization: Minimizing Regret and Constraint Violation |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Online Learning in Variable Feature Spaces under Incomplete Supervision |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Online Non-Monotone DR-Submodular Maximization |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Online Optimal Control with Affine Constraints |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Online Posted Pricing with Unknown Time-Discounted Valuations |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Online Search with Maximum Clearance |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| OpEvo: An Evolutionary Method for Tensor Operator Optimization |
✅ |
✅ |
❌ |
❌ |
✅ |
✅ |
✅ |
5 |
| Open Domain Dialogue Generation with Latent Images |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Open-Set Recognition with Gaussian Mixture Variational Autoencoders |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Optical Flow Estimation from a Single Motion-blurred Image |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Optimal Decision Trees for Nonlinear Metrics |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Optimal Kidney Exchange with Immunosuppressants |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Optimising Automatic Calibration of Electric Muscle Stimulation |
✅ |
✅ |
❌ |
❌ |
✅ |
❌ |
✅ |
4 |
| Optimizing Information Theory Based Bitwise Bottlenecks for Efficient Mixed-Precision Activation Quantization |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Oral-3D: Reconstructing the 3D Structure of Oral Cavity from Panoramic X-ray |
✅ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
3 |
| Order Regularization on Ordinal Loss for Head Pose, Age and Gaze Estimation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Ordered Counterfactual Explanation by Mixed-Integer Linear Optimization |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
❌ |
4 |
| Ordinal Historical Dependence in Graphical Event Models with Tree Representations |
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❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Out-of-Town Recommendation with Travel Intention Modeling |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| Outlier Impact Characterization for Time Series Data |
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❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
4 |
| Overcoming Catastrophic Forgetting in Graph Neural Networks |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Overcoming Catastrophic Forgetting in Graph Neural Networks with Experience Replay |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| PAC Learning of Causal Trees with Latent Variables |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| PANTHER: Pathway Augmented Nonnegative Tensor Factorization for HighER-order Feature Learning |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| PASSLEAF: A Pool-bAsed Semi-Supervised LEArning Framework for Uncertain Knowledge Graph Embedding |
❌ |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
5 |
| PC-HMR: Pose Calibration for 3D Human Mesh Recovery from 2D Images/Videos |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| PC-RGNN: Point Cloud Completion and Graph Neural Network for 3D Object Detection |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| PDO-eS2CNNs: Partial Differential Operator Based Equivariant Spherical CNNs |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| PGNet: Real-time Arbitrarily-Shaped Text Spotting with Point Gathering Network |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| PHASE: PHysically-grounded Abstract Social Events for Machine Social Perception |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| PID-Based Approach to Adversarial Attacks |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| PREMERE: Meta-Reweighting via Self-Ensembling for Point-of-Interest Recommendation |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| PSSM-Distil: Protein Secondary Structure Prediction (PSSP) on Low-Quality PSSM by Knowledge Distillation with Contrastive Learning |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| PTN: A Poisson Transfer Network for Semi-supervised Few-shot Learning |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| PULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Paragraph-level Commonsense Transformers with Recurrent Memory |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Parallel Constraint Acquisition |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| Parameterized Algorithms for MILPs with Small Treedepth |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Parameterized Complexity of Logic-Based Argumentation in Schaefer’s Framework |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Parameterized Complexity of Small Decision Tree Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Parameterized Logical Theories |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
5 |
| Pareto Optimization for Subset Selection with Dynamic Partition Matroid Constraints |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Partial-Label and Structure-constrained Deep Coupled Factorization Network |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Partially Non-Autoregressive Image Captioning |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Patch-Wise Attention Network for Monocular Depth Estimation |
❌ |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
4 |
| Peer Collaborative Learning for Online Knowledge Distillation |
✅ |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| PenDer: Incorporating Shape Constraints via Penalized Derivatives |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Perception Score: A Learned Metric for Open-ended Text Generation Evaluation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Persistence of Anti-vaccine Sentiment in Social Networks Through Strategic Interactions |
❌ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
4 |
| Personalized Adaptive Meta Learning for Cold-start User Preference Prediction |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
4 |
| Personalized Cross-Silo Federated Learning on Non-IID Data |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
❌ |
4 |
| Persuading Voters in District-based Elections |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Physarum Powered Differentiable Linear Programming Layers and Applications |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Physics-Informed Deep Learning for Traffic State Estimation: A Hybrid Paradigm Informed By Second-Order Traffic Models |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Physics-constrained Automatic Feature Engineering for Predictive Modeling in Materials Science |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Planning from Pixels in Atari with Learned Symbolic Representations |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| Plug-and-Play Domain Adaptation for Cross-Subject EEG-based Emotion Recognition |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| PoA of Simple Auctions with Interdependent Values |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Point Cloud Semantic Scene Completion from RGB-D Images |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| PointINet: Point Cloud Frame Interpolation Network |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Policy Optimization as Online Learning with Mediator Feedback |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Policy-Guided Heuristic Search with Guarantees |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Polynomial-Time Algorithms for Counting and Sampling Markov Equivalent DAGs |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Positions, Channels, and Layers: Fully Generalized Non-Local Network for Singer Identification |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Post-training Quantization with Multiple Points: Mixed Precision without Mixed Precision |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Power in Liquid Democracy |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Power up! Robust Graph Convolutional Network via Graph Powering |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Practical and Rigorous Uncertainty Bounds for Gaussian Process Regression |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Pragmatic Code Autocomplete |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
7 |
| Pre-training Context and Time Aware Location Embeddings from Spatial-Temporal Trajectories for User Next Location Prediction |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| Precise Yet Efficient Semantic Calibration and Refinement in ConvNets for Real-time Polyp Segmentation from Colonoscopy Videos |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Precision-based Boosting |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Predicting Livelihood Indicators from Community-Generated Street-Level Imagery |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Predictive Adversarial Learning from Positive and Unlabeled Data |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Preference Elicitation as Average-Case Sorting |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Preferred Explanations for Ontology-Mediated Queries under Existential Rules |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Present-Biased Optimization |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Preserving Condorcet Winners under Strategic Manipulation |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Proactive Privacy-preserving Learning for Retrieval |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Probabilistic Dependency Graphs |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Probabilistic Programming Bots in Intuitive Physics Game Play |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Probing Product Description Generation via Posterior Distillation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Programmatic Strategies for Real-Time Strategy Games |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Progression Heuristics for Planning with Probabilistic LTL Constraints |
❌ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
4 |
| Progressive Multi-task Learning with Controlled Information Flow for Joint Entity and Relation Extraction |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Progressive Network Grafting for Few-Shot Knowledge Distillation |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Progressive One-shot Human Parsing |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Projection-Free Bandit Optimization with Privacy Guarantees |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Projection-free Online Learning in Dynamic Environments |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Projection-free Online Learning over Strongly Convex Sets |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Proportional Representation under Single-Crossing Preferences Revisited |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Proportionally Representative Participatory Budgeting with Ordinal Preferences |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Proposal-Free Video Grounding with Contextual Pyramid Network |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Protecting the Protected Group: Circumventing Harmful Fairness |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Provable Benefits of Overparameterization in Model Compression: From Double Descent to Pruning Neural Networks |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Provably Good Solutions to the Knapsack Problem via Neural Networks of Bounded Size |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Provably Secure Federated Learning against Malicious Clients |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Proxy Graph Matching with Proximal Matching Networks |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Pyramidal Feature Shrinking for Salient Object Detection |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Quantification of Resource Production Incompleteness |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Quantum Cognitively Motivated Decision Fusion for Video Sentiment Analysis |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Quantum Exploration Algorithms for Multi-Armed Bandits |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Quantum-inspired Neural Network for Conversational Emotion Recognition |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Query Training: Learning a Worse Model to Infer Better Marginals in Undirected Graphical Models with Hidden Variables |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Query-Memory Re-Aggregation for Weakly-supervised Video Object Segmentation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Question-Driven Span Labeling Model for Aspect–Opinion Pair Extraction |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Queue-Learning: A Reinforcement Learning Approach for Providing Quality of Service |
❌ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
2 |
| R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| REFINE: Prediction Fusion Network for Panoptic Segmentation |
✅ |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
5 |
| REM-Net: Recursive Erasure Memory Network for Commonsense Evidence Refinement |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| RESA: Recurrent Feature-Shift Aggregator for Lane Detection |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| RGB-D Salient Object Detection via 3D Convolutional Neural Networks |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| RNA Secondary Structure Representation Network for RNA-proteins Binding Prediction |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| ROSITA: Refined BERT cOmpreSsion with InTegrAted techniques |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| RSGNet: Relation based Skeleton Graph Network for Crowded Scenes Pose Estimation |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| RSPNet: Relative Speed Perception for Unsupervised Video Representation Learning |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| RT3D: Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices |
❌ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
4 |
| RTS3D: Real-time Stereo 3D Detection from 4D Feature-Consistency Embedding Space for Autonomous Driving |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Rain Streak Removal via Dual Graph Convolutional Network |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Randomized Generation of Adversary-aware Fake Knowledge Graphs to Combat Intellectual Property Theft |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Ranking Sets of Defeasible Elements in Preferential Approaches to Structured Argumentation: Postulates, Relations, and Characterizations |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| RareBERT: Transformer Architecture for Rare Disease Patient Identification using Administrative Claims |
✅ |
❌ |
❌ |
✅ |
✅ |
❌ |
✅ |
4 |
| Raven’s Progressive Matrices Completion with Latent Gaussian Process Priors |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
1 |
| Re-TACRED: Addressing Shortcomings of the TACRED Dataset |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Reaching Individually Stable Coalition Structures in Hedonic Games |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Read, Retrospect, Select: An MRC Framework to Short Text Entity Linking |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Reasoning in Dialog: Improving Response Generation by Context Reading Comprehension |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Recognizing and Verifying Mathematical Equations using Multiplicative Differential Neural Units |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Recursion in Abstract Argumentation is Hard — On the Complexity of Semantics Based on Weak Admissibility |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Ref-NMS: Breaking Proposal Bottlenecks in Two-Stage Referring Expression Grounding |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Region-aware Global Context Modeling for Automatic Nerve Segmentation from Ultrasound Images |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Regional Attention with Architecture-Rebuilt 3D Network for RGB-D Gesture Recognition |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Regret Bounds for Batched Bandits |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Regret Bounds for Online Kernel Selection in Continuous Kernel Space |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Regularizing Attention Networks for Anomaly Detection in Visual Question Answering |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
5 |
| Reinforced History Backtracking for Conversational Question Answering |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Reinforced Imitative Graph Representation Learning for Mobile User Profiling: An Adversarial Training Perspective |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Reinforced Multi-Teacher Selection for Knowledge Distillation |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Reinforcement Learning Based Multi-Agent Resilient Control: From Deep Neural Networks to an Adaptive Law |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Reinforcement Learning of Sequential Price Mechanisms |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
❌ |
1 |
| Reinforcement Learning with Trajectory Feedback |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Reinforcement Learning with a Disentangled Universal Value Function for Item Recommendation |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Rejection Sampling for Weighted Jaccard Similarity Revisited |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Relation-Aware Neighborhood Matching Model for Entity Alignment |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Relation-aware Graph Attention Model with Adaptive Self-adversarial Training |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Relational Boosted Bandits |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Relational Classification of Biological Cells in Microscopy Images |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
4 |
| Relative Variational Intrinsic Control |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Relative and Absolute Location Embedding for Few-Shot Node Classification on Graph |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Relaxed Clustered Hawkes Process for Student Procrastination Modeling in MOOCs |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Representative Proxy Voting |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Research Reproducibility as a Survival Analysis |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Residual Shuffle-Exchange Networks for Fast Processing of Long Sequences |
❌ |
✅ |
✅ |
❌ |
✅ |
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4 |
| Resilient Multi-Agent Reinforcement Learning with Adversarial Value Decomposition |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
3 |
| Responsibility Attribution in Parameterized Markovian Models |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Restricted Domains of Dichotomous Preferences with Possibly Incomplete Information |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Rethinking Bi-Level Optimization in Neural Architecture Search: A Gibbs Sampling Perspective |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Rethinking Boundaries: End-To-End Recognition of Discontinuous Mentions with Pointer Networks |
❌ |
❌ |
✅ |
✅ |
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3 |
| Rethinking Graph Regularization for Graph Neural Networks |
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✅ |
✅ |
❌ |
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✅ |
3 |
| Rethinking Object Detection in Retail Stores |
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✅ |
❌ |
✅ |
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3 |
| Retrospective Reader for Machine Reading Comprehension |
❌ |
✅ |
✅ |
✅ |
❌ |
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✅ |
4 |
| RevMan: Revenue-aware Multi-task Online Insurance Recommendation |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Revealing Hidden Preconditions and Effects of Compound HTN Planning Tasks – A Complexity Analysis |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Revisiting Co-Occurring Directions: Sharper Analysis and Efficient Algorithm for Sparse Matrices |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Revisiting Consistent Hashing with Bounded Loads |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Revisiting Dominance Pruning in Decoupled Search |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Revisiting Iterative Back-Translation from the Perspective of Compositional Generalization |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Revisiting Mahalanobis Distance for Transformer-Based Out-of-Domain Detection |
❌ |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
3 |
| Reward-Biased Maximum Likelihood Estimation for Linear Stochastic Bandits |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
3 |
| Riemannian Embedding Banks for Common Spatial Patterns with EEG-based SPD Neural Networks |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Right for Better Reasons: Training Differentiable Models by Constraining their Influence Functions |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Robust Bandit Learning with Imperfect Context |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Robust Contextual Bandits via Bootstrapping |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Robust Fairness Under Covariate Shift |
✅ |
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✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Robust Finite-State Controllers for Uncertain POMDPs |
✅ |
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❌ |
❌ |
✅ |
✅ |
✅ |
4 |
| Robust Knowledge Transfer via Hybrid Forward on the Teacher-Student Model |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Robust Lightweight Facial Expression Recognition Network with Label Distribution Training |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Robust Model Compression Using Deep Hypotheses |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Robust Multi-Modality Person Re-identification |
❌ |
❌ |
❌ |
✅ |
✅ |
❌ |
✅ |
3 |
| Robust Reinforcement Learning: A Case Study in Linear Quadratic Regulation |
✅ |
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❌ |
❌ |
✅ |
✅ |
✅ |
4 |
| Robust Spatio-Temporal Purchase Prediction via Deep Meta Learning |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Robustness Guarantees for Mode Estimation with an Application to Bandits |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Robustness to Spurious Correlations in Text Classification via Automatically Generated Counterfactuals |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| RpBERT: A Text-image Relation Propagation-based BERT Model for Multimodal NER |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| SA-BNN: State-Aware Binary Neural Network |
❌ |
❌ |
✅ |
✅ |
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3 |
| SALNet: Semi-supervised Few-Shot Text Classification with Attention-based Lexicon Construction |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| SARG: A Novel Semi Autoregressive Generator for Multi-turn Incomplete Utterance Restoration |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| SAT-based Decision Tree Learning for Large Data Sets |
✅ |
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✅ |
✅ |
✅ |
✅ |
✅ |
7 |
| SCAN: A Spatial Context Attentive Network for Joint Multi-Agent Intent Prediction |
❌ |
❌ |
✅ |
✅ |
❌ |
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3 |
| SCNet: Training Inference Sample Consistency for Instance Segmentation |
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✅ |
✅ |
✅ |
✅ |
❌ |
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5 |
| SCRUPLES: A Corpus of Community Ethical Judgments on 32,000 Real-Life Anecdotes |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| SD-Pose: Semantic Decomposition for Cross-Domain 6D Object Pose Estimation |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| SDGNN: Learning Node Representation for Signed Directed Networks |
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✅ |
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4 |
| SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations |
✅ |
✅ |
✅ |
❌ |
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✅ |
4 |
| SIMPLE: SIngle-network with Mimicking and Point Learning for Bottom-up Human Pose Estimation |
✅ |
❌ |
✅ |
✅ |
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5 |
| SMART Frame Selection for Action Recognition |
❌ |
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✅ |
✅ |
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3 |
| SMART: A Situation Model for Algebra Story Problems via Attributed Grammar |
✅ |
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✅ |
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2 |
| SMIL: Multimodal Learning with Severely Missing Modality |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| SMT-based Safety Checking of Parameterized Multi-Agent Systems |
✅ |
✅ |
❌ |
❌ |
✅ |
✅ |
✅ |
5 |
| SPIN: Structure-Preserving Inner Offset Network for Scene Text Recognition |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| SSD-GAN: Measuring the Realness in the Spatial and Spectral Domains |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
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4 |
| SSN3D: Self-Separated Network to Align Parts for 3D Convolution in Video Person Re-Identification |
❌ |
❌ |
✅ |
❌ |
❌ |
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✅ |
2 |
| SSPC-Net: Semi-supervised Semantic 3D Point Cloud Segmentation Network |
✅ |
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✅ |
✅ |
❌ |
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4 |
| STELAR: Spatio-temporal Tensor Factorization with Latent Epidemiological Regularization |
✅ |
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✅ |
✅ |
❌ |
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4 |
| STL-SGD: Speeding Up Local SGD with Stagewise Communication Period |
✅ |
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✅ |
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4 |
| SWIFT: Scalable Wasserstein Factorization for Sparse Nonnegative Tensors |
✅ |
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✅ |
✅ |
❌ |
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4 |
| Safe Search for Stackelberg Equilibria in Extensive-Form Games |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| Sample Complexity of Policy Gradient Finding Second-Order Stationary Points |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Sample Efficient Reinforcement Learning with REINFORCE |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Sample Selection for Universal Domain Adaptation |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Sample-Efficient L0-L2 Constrained Structure Learning of Sparse Ising Models |
✅ |
✅ |
❌ |
✅ |
✅ |
❌ |
✅ |
5 |
| Sample-Specific Output Constraints for Neural Networks |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
❌ |
4 |
| Satisfiability and Algorithms for Non-uniform Random k-SAT |
✅ |
❌ |
❌ |
❌ |
✅ |
✅ |
✅ |
4 |
| Saturated Post-hoc Optimization for Classical Planning |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Savable but Lost Lives when ICU Is Overloaded: a Model from 733 Patients in Epicenter Wuhan, China |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| Scalable Affinity Propagation for Massive Datasets |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Scalable Equilibrium Computation in Multi-agent Influence Games on Networks |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Scalable First-Order Methods for Robust MDPs |
✅ |
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❌ |
❌ |
✅ |
✅ |
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4 |
| Scalable Graph Networks for Particle Simulations |
❌ |
❌ |
❌ |
✅ |
✅ |
❌ |
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3 |
| Scalable Verification of Quantized Neural Networks |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
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4 |
| Scalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Scalable and Safe Multi-Agent Motion Planning with Nonlinear Dynamics and Bounded Disturbances |
❌ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
4 |
| Scaling-Up Robust Gradient Descent Techniques |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
2 |
| Scarce Societal Resource Allocation and the Price of (Local) Justice |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Scene Graph Embeddings Using Relative Similarity Supervision |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
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4 |
| Scheduled Sampling in Vision-Language Pretraining with Decoupled Encoder-Decoder Network |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
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5 |
| Scheduling of Time-Varying Workloads Using Reinforcement Learning |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| SeCo: Exploring Sequence Supervision for Unsupervised Representation Learning |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Searching for Alignment in Face Recognition |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Searching for Machine Learning Pipelines Using a Context-Free Grammar |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
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4 |
| Second Order Techniques for Learning Time-series with Structural Breaks |
✅ |
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✅ |
❌ |
✅ |
❌ |
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4 |
| Secure Bilevel Asynchronous Vertical Federated Learning with Backward Updating |
✅ |
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✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Segatron: Segment-Aware Transformer for Language Modeling and Understanding |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Segmentation of Tweets with URLs and its Applications to Sentiment Analysis |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Self-Attention Attribution: Interpreting Information Interactions Inside Transformer |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Self-Domain Adaptation for Face Anti-Spoofing |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Self-Paced Two-dimensional PCA |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Self-Progressing Robust Training |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Self-Supervised Attention-Aware Reinforcement Learning |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
3 |
| Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Self-Supervised Prototype Representation Learning for Event-Based Corporate Profiling |
❌ |
✅ |
❌ |
✅ |
✅ |
❌ |
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4 |
| Self-Supervised Self-Supervision by Combining Deep Learning and Probabilistic Logic |
✅ |
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✅ |
✅ |
❌ |
❌ |
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4 |
| Self-Supervised Sketch-to-Image Synthesis |
❌ |
❌ |
✅ |
❌ |
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3 |
| Self-correcting Q-learning |
✅ |
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✅ |
❌ |
❌ |
✅ |
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4 |
| Self-supervised Bilingual Syntactic Alignment for Neural Machine Translation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
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4 |
| Self-supervised Multi-view Stereo via Effective Co-Segmentation and Data-Augmentation |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Self-supervised Pre-training and Contrastive Representation Learning for Multiple-choice Video QA |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Selfish Creation of Social Networks |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Semantic Consistency Networks for 3D Object Detection |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Semantic Grouping Network for Video Captioning |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Semantic MapNet: Building Allocentric Semantic Maps and Representations from Egocentric Views |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
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4 |
| Semantic-guided Reinforced Region Embedding for Generalized Zero-Shot Learning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Semantics Altering Modifications for Evaluating Comprehension in Machine Reading |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Semantics-Aware Inferential Network for Natural Language Understanding |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Semi-Supervised Knowledge Amalgamation for Sequence Classification |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Semi-Supervised Learning for Multi-Task Scene Understanding by Neural Graph Consensus |
✅ |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
5 |
| Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Semi-Supervised Metric Learning: A Deep Resurrection |
✅ |
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✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Semi-Supervised Node Classification on Graphs: Markov Random Fields vs. Graph Neural Networks |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| Semi-supervised Medical Image Segmentation through Dual-task Consistency |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Semi-supervised Sequence Classification through Change Point Detection |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Sequential Attacks on Kalman Filter-based Forward Collision Warning Systems |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Sequential End-to-end Network for Efficient Person Search |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Sequential Generative Exploration Model for Partially Observable Reinforcement Learning |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
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4 |
| Shape-Pose Ambiguity in Learning 3D Reconstruction from Images |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| ShapeNet: A Shapelet-Neural Network Approach for Multivariate Time Series Classification |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Show Me How To Revise: Improving Lexically Constrained Sentence Generation with XLNet |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Show, Attend and Distill: Knowledge Distillation via Attention-based Feature Matching |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Shuffling Recurrent Neural Networks |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Signaling in Bayesian Network Congestion Games: the Subtle Power of Symmetry |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Similarity Reasoning and Filtration for Image-Text Matching |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Simple and Effective Stochastic Neural Networks |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Simple is not Easy: A Simple Strong Baseline for TextVQA and TextCaps |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Simple or Complex? Learning to Predict Readability of Bengali Texts |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Simpson’s Bias in NLP Training |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Simultaneous 2nd Price Item Auctions with No-Underbidding |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Single Player Monte-Carlo Tree Search Based on the Plackett-Luce Model |
✅ |
✅ |
❌ |
❌ |
✅ |
❌ |
✅ |
4 |
| Single View Point Cloud Generation via Unified 3D Prototype |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Sketch Generation with Drawing Process Guided by Vector Flow and Grayscale |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Sketch and Customize: A Counterfactual Story Generator |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Slimmable Generative Adversarial Networks |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Smooth Convex Optimization Using Sub-Zeroth-Order Oracles |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Social-DPF: Socially Acceptable Distribution Prediction of Futures |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Solution Concepts in Hierarchical Games Under Bounded Rationality With Applications to Autonomous Driving |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Solving Common-Payoff Games with Approximate Policy Iteration |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
3 |
| Solving Infinite-Domain CSPs Using the Patchwork Property |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| SongMASS: Automatic Song Writing with Pre-training and Alignment Constraint |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Span-Based Event Coreference Resolution |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Sparsity Aware Normalization for GANs |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Spatial-Temporal Fusion Graph Neural Networks for Traffic Flow Forecasting |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Spatial-temporal Causal Inference for Partial Image-to-video Adaptation |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Spatio-Temporal Difference Descriptor for Skeleton-Based Action Recognition |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Spatiotemporal Graph Neural Network based Mask Reconstruction for Video Object Segmentation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Spectral Distribution Aware Image Generation |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Spherical Image Generation from a Single Image by Considering Scene Symmetry |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Split then Refine: Stacked Attention-guided ResUNets for Blind Single Image Visible Watermark Removal |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Split-and-Bridge: Adaptable Class Incremental Learning within a Single Neural Network |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Stability and Generalization of Decentralized Stochastic Gradient Descent |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Stabilizing Q Learning Via Soft Mellowmax Operator |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Stable Adversarial Learning under Distributional Shifts |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| StarNet: towards Weakly Supervised Few-Shot Object Detection |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
7 |
| StatEcoNet: Statistical Ecology Neural Networks for Species Distribution Modeling |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Static-Dynamic Interaction Networks for Offline Signature Verification |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
✅ |
3 |
| Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19 |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
❌ |
3 |
| Step-Ahead Error Feedback for Distributed Training with Compressed Gradient |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Stereopagnosia: Fooling Stereo Networks with Adversarial Perturbations |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Stochastic Bandits with Graph Feedback in Non-Stationary Environments |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Stochastic Graphical Bandits with Adversarial Corruptions |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized Deep Neural Networks |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Stock Selection via Spatiotemporal Hypergraph Attention Network: A Learning to Rank Approach |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Storage Fit Learning with Feature Evolvable Streams |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Story Ending Generation with Multi-Level Graph Convolutional Networks over Dependency Trees |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Strategy and Benchmark for Converting Deep Q-Networks to Event-Driven Spiking Neural Networks |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Stratified Negation in Datalog with Metric Temporal Operators |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Stratified Rule-Aware Network for Abstract Visual Reasoning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| StrokeGAN: Reducing Mode Collapse in Chinese Font Generation via Stroke Encoding |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Strong Explanations in Abstract Argumentation |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Structure-Consistent Weakly Supervised Salient Object Detection with Local Saliency Coherence |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Structure-aware Person Image Generation with Pose Decomposition and Semantic Correlation |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Structured Co-reference Graph Attention for Video-grounded Dialogue |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Style-transfer and Paraphrase: Looking for a Sensible Semantic Similarity Metric |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Stylized Dialogue Response Generation Using Stylized Unpaired Texts |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Sub-Seasonal Climate Forecasting via Machine Learning: Challenges, Analysis, and Advances |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Sublinear Classical and Quantum Algorithms for General Matrix Games |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Submodel Decomposition Bounds for Influence Diagrams |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Submodular Span, with Applications to Conditional Data Summarization |
❌ |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
4 |
| Subtype-aware Unsupervised Domain Adaptation for Medical Diagnosis |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Successor Feature Sets: Generalizing Successor Representations Across Policies |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Supervised Training of Dense Object Nets using Optimal Descriptors for Industrial Robotic Applications |
❌ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
2 |
| Symbolic Music Generation with Transformer-GANs |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Symbolic Search for Optimal Total-Order HTN Planning |
✅ |
✅ |
❌ |
❌ |
✅ |
✅ |
✅ |
5 |
| Symbolic Search for Oversubscription Planning |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| Symmetric Component Caching for Model Counting on Combinatorial Instances |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Symmetry Breaking for k-Robust Multi-Agent Path Finding |
❌ |
❌ |
✅ |
❌ |
✅ |
✅ |
❌ |
3 |
| Synchronous Dynamical Systems on Directed Acyclic Graphs: Complexity and Algorithms |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Synchronous Interactive Decoding for Multilingual Neural Machine Translation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Synergetic Learning of Heterogeneous Temporal Sequences for Multi-Horizon Probabilistic Forecasting |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Synthesis of Search Heuristics for Temporal Planning via Reinforcement Learning |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| TDAF: Top-Down Attention Framework for Vision Tasks |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| THOR, Trace-based Hardware-driven Layer-Oriented Natural Gradient Descent Computation |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| TIME: Text and Image Mutual-Translation Adversarial Networks |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| TRQ: Ternary Neural Networks With Residual Quantization |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| TSQA: Tabular Scenario Based Question Answering |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| TaLNet: Voice Reconstruction from Tongue and Lip Articulation with Transfer Learning from Text-to-Speech Synthesis |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| TabNet: Attentive Interpretable Tabular Learning |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Tackling Instance-Dependent Label Noise via a Universal Probabilistic Model |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Tailoring Embedding Function to Heterogeneous Few-Shot Tasks by Global and Local Feature Adaptors |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| Targeted Negative Campaigning: Complexity and Approximations |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Task Aligned Generative Meta-learning for Zero-shot Learning |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Task Cooperation for Semi-Supervised Few-Shot Learning |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Task-Agnostic Exploration via Policy Gradient of a Non-Parametric State Entropy Estimate |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Task-Independent Knowledge Makes for Transferable Representations for Generalized Zero-Shot Learning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Taxonomy Completion via Triplet Matching Network |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Teacher Guided Neural Architecture Search for Face Recognition |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Teaching Active Human Learners |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Teaching the Old Dog New Tricks: Supervised Learning with Constraints |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
7 |
| TempLe: Learning Template of Transitions for Sample Efficient Multi-task RL |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
3 |
| Tempered Sigmoid Activations for Deep Learning with Differential Privacy |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Temporal Latent Auto-Encoder: A Method for Probabilistic Multivariate Time Series Forecasting |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Temporal Pyramid Network for Pedestrian Trajectory Prediction with Multi-Supervision |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Temporal ROI Align for Video Object Recognition |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Temporal Relational Modeling with Self-Supervision for Action Segmentation |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Temporal Segmentation of Fine-gained Semantic Action: A Motion-Centered Figure Skating Dataset |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| Temporal-Coded Deep Spiking Neural Network with Easy Training and Robust Performance |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Temporal-Logic-Based Reward Shaping for Continuing Reinforcement Learning Tasks |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Terrace-based Food Counting and Segmentation |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Testing Independence Between Linear Combinations for Causal Discovery |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Text-Guided Graph Neural Networks for Referring 3D Instance Segmentation |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| TextGAIL: Generative Adversarial Imitation Learning for Text Generation |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| The Causal Learning of Retail Delinquency |
❌ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
2 |
| The Complexity Landscape of Claim-Augmented Argumentation Frameworks |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| The Complexity of Object Association in Multiple Object Tracking |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| The Counterfactual NESS Definition of Causation |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| The Gap on Gap: Tackling the Problem of Differing Data Distributions in Bias-Measuring Datasets |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| The Heads Hypothesis: A Unifying Statistical Approach Towards Understanding Multi-Headed Attention in BERT |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| The Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| The Influence of Memory in Multi-Agent Consensus |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| The LOB Recreation Model: Predicting the Limit Order Book from TAQ History Using an Ordinary Differential Equation Recurrent Neural Network |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| The Maximin Support Method: An Extension of the D’Hondt Method to Approval-Based Multiwinner Elections |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| The Parameterized Complexity of Clustering Incomplete Data |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| The Power of Literal Equivalence in Model Counting |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| The Price of Connectivity in Fair Division |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| The Sample Complexity of Teaching by Reinforcement on Q-Learning |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| The Smoothed Complexity of Computing Kemeny and Slater Rankings |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| The Style-Content Duality of Attractiveness: Learning to Write Eye-Catching Headlines via Disentanglement |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| The Tractability of SHAP-Score-Based Explanations for Classification over Deterministic and Decomposable Boolean Circuits |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| The Undergraduate Games Corpus: A Dataset for Machine Perception of Interactive Media |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| The Value-Improvement Path: Towards Better Representations for Reinforcement Learning |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Theoretical Analyses of Multi-Objective Evolutionary Algorithms on Multi-Modal Objectives |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Theoretically Principled Deep RL Acceleration via Nearest Neighbor Function Approximation |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Tied Block Convolution: Leaner and Better CNNs with Shared Thinner Filters |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Tightening Robustness Verification of Convolutional Neural Networks with Fine-Grained Linear Approximation |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
❌ |
3 |
| Time Series Anomaly Detection with Multiresolution Ensemble Decoding |
✅ |
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✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Time Series Domain Adaptation via Sparse Associative Structure Alignment |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Time to Transfer: Predicting and Evaluating Machine-Human Chatting Handoff |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Time-Independent Planning for Multiple Moving Agents |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| To Choose or to Fuse? Scale Selection for Crowd Counting |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Token-Aware Virtual Adversarial Training in Natural Language Understanding |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
❌ |
3 |
| Top-k Ranking Bayesian Optimization |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Topic-Aware Multi-turn Dialogue Modeling |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Topic-Oriented Spoken Dialogue Summarization for Customer Service with Saliency-Aware Topic Modeling |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Topology Distance: A Topology-Based Approach for Evaluating Generative Adversarial Networks |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Topology-Aware Correlations Between Relations for Inductive Link Prediction in Knowledge Graphs |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Toward Realistic Virtual Try-on Through Landmark Guided Shape Matching |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Toward Robust Long Range Policy Transfer |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
2 |
| Toward Understanding the Influence of Individual Clients in Federated Learning |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Towards Balanced Defect Prediction with Better Information Propagation |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Towards Consumer Loan Fraud Detection: Graph Neural Networks with Role-Constrained Conditional Random Field |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| Towards Domain Invariant Single Image Dehazing |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Towards Efficient Selection of Activity Trajectories based on Diversity and Coverage |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Towards Enabling Learnware to Handle Unseen Jobs |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Towards Faithfulness in Open Domain Table-to-text Generation from an Entity-centric View |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Towards Faster Deep Collaborative Filtering via Hierarchical Decision Networks |
✅ |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| Towards Feature Space Adversarial Attack by Style Perturbation |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Towards Fully Automated Manga Translation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| Towards Generalized Implementation of Wasserstein Distance in GANs |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Towards More Practical and Efficient Automatic Dominance Breaking |
❌ |
❌ |
❌ |
❌ |
✅ |
✅ |
✅ |
3 |
| Towards Reusable Network Components by Learning Compatible Representations |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Towards Robust Visual Information Extraction in Real World: New Dataset and Novel Solution |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Towards Semantics-Enhanced Pre-Training: Can Lexicon Definitions Help Learning Sentence Meanings? |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Towards Topic-Aware Slide Generation For Academic Papers With Unsupervised Mutual Learning |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Towards Trustworthy Predictions from Deep Neural Networks with Fast Adversarial Calibration |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Towards Universal Physical Attacks on Single Object Tracking |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Towards a Better Understanding of VR Sickness: Physical Symptom Prediction for VR Contents |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Towered Actor Critic For Handling Multiple Action Types In Reinforcement Learning For Drug Discovery |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Tracking Disease Outbreaks from Sparse Data with Bayesian Inference |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Tracking Interaction States for Multi-Turn Text-to-SQL Semantic Parsing |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Traffic Flow Prediction with Vehicle Trajectories |
❌ |
✅ |
❌ |
✅ |
✅ |
❌ |
✅ |
4 |
| Traffic Shaping in E-Commercial Search Engine: Multi-Objective Online Welfare Maximization |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Train a One-Million-Way Instance Classifier for Unsupervised Visual Representation Learning |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Training Binary Neural Network without Batch Normalization for Image Super-Resolution |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Training Spiking Neural Networks with Accumulated Spiking Flow |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| TransTailor: Pruning the Pre-trained Model for Improved Transfer Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Transfer Graph Neural Networks for Pandemic Forecasting |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Transfer Learning for Efficient Iterative Safety Validation |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Transformer-Style Relational Reasoning with Dynamic Memory Updating for Temporal Network Modeling |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Translate the Facial Regions You Like Using Self-Adaptive Region Translation |
❌ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
4 |
| Treatment Effect Estimation with Disentangled Latent Factors |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| TreeCaps: Tree-Based Capsule Networks for Source Code Processing |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Treewidth-Aware Complexity in ASP: Not all Positive Cycles are Equally Hard |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Trembling-Hand Perfection and Correlation in Sequential Games |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Tri-level Robust Clustering Ensemble with Multiple Graph Learning |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Tripartite Collaborative Filtering with Observability and Selection for Debiasing Rating Estimation on Missing-Not-at-Random Data |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| TripleTree: A Versatile Interpretable Representation of Black Box Agents and their Environments |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Tune-In: Training Under Negative Environments with Interference for Attention Networks Simulating Cocktail Party Effect |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Turbocharging Treewidth-Bounded Bayesian Network Structure Learning |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Two-Stream Convolution Augmented Transformer for Human Activity Recognition |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| Type-augmented Relation Prediction in Knowledge Graphs |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| U-BERT: Pre-training User Representations for Improved Recommendation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| UAG: Uncertainty-aware Attention Graph Neural Network for Defending Adversarial Attacks |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| UBAR: Towards Fully End-to-End Task-Oriented Dialog System with GPT-2 |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| UNICORN on RAINBOW: A Universal Commonsense Reasoning Model on a New Multitask Benchmark |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| UNIPoint: Universally Approximating Point Processes Intensities |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| UWSpeech: Speech to Speech Translation for Unwritten Languages |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Unanswerable Question Correction in Question Answering over Personal Knowledge Base |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Uncertain Graph Neural Networks for Facial Action Unit Detection |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Uncertainty Quantification in CNN Through the Bootstrap of Convex Neural Networks |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Uncertainty-Aware Multi-View Representation Learning |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Uncertainty-Aware Policy Optimization: A Robust, Adaptive Trust Region Approach |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Uncertainty-Matching Graph Neural Networks to Defend Against Poisoning Attacks |
✅ |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
5 |
| Unchain the Search Space with Hierarchical Differentiable Architecture Search |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Uncovering Latent Biases in Text: Method and Application to Peer Review |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Understanding Catastrophic Overfitting in Single-step Adversarial Training |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Understanding Decoupled and Early Weight Decay |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Understanding Deformable Alignment in Video Super-Resolution |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Unified Tensor Framework for Incomplete Multi-view Clustering and Missing-view Inferring |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| United for Change: Deliberative Coalition Formation to Change the Status Quo |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Universal Adversarial Perturbations Through the Lens of Deep Steganography: Towards a Fourier Perspective |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Universal Trading for Order Execution with Oracle Policy Distillation |
❌ |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
2 |
| Unsupervised 3D Learning for Shape Analysis via Multiresolution Instance Discrimination |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Unsupervised Abstractive Dialogue Summarization for Tete-a-Tetes |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Unsupervised Active Learning via Subspace Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Unsupervised Domain Adaptation for Person Re-identification via Heterogeneous Graph Alignment |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Unsupervised Domain Adaptation for Semantic Segmentation by Content Transfer |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Unsupervised Learning of Deterministic Dialogue Structure with Edge-Enhanced Graph Auto-Encoder |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Unsupervised Learning of Discourse Structures using a Tree Autoencoder |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Unsupervised Model Adaptation for Continual Semantic Segmentation |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
4 |
| Unsupervised Opinion Summarization with Content Planning |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Unsupervised Summarization for Chat Logs with Topic-Oriented Ranking and Context-Aware Auto-Encoders |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| User Driven Model Adjustment via Boolean Rule Explanations |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Using Hindsight to Anchor Past Knowledge in Continual Learning |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| VIVO: Visual Vocabulary Pre-Training for Novel Object Captioning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| VMLoc: Variational Fusion For Learning-Based Multimodal Camera Localization |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| VSQL: Variational Shadow Quantum Learning for Classification |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Value-Decomposition Multi-Agent Actor-Critics |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Variance Penalized On-Policy and Off-Policy Actor-Critic |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Variational Disentanglement for Rare Event Modeling |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Variational Fair Clustering |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Variational Inference for Learning Representations of Natural Language Edits |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Vector Quantized Bayesian Neural Network Inference for Data Streams |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Verifiable Machine Ethics in Changing Contexts |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
2 |
| Very Important Person Localization in Unconstrained Conditions: A New Benchmark |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Vid-ODE: Continuous-Time Video Generation with Neural Ordinary Differential Equation |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Visual Boundary Knowledge Translation for Foreground Segmentation |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Visual Comfort Aware-Reinforcement Learning for Depth Adjustment of Stereoscopic 3D Images |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Visual Concept Reasoning Networks |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Visual Pivoting for (Unsupervised) Entity Alignment |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Visual Relation Detection using Hybrid Analogical Learning |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Visual Tracking via Hierarchical Deep Reinforcement Learning |
✅ |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| Visual Transfer For Reinforcement Learning Via Wasserstein Domain Confusion |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| VisualMRC: Machine Reading Comprehension on Document Images |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Visualization of Supervised and Self-Supervised Neural Networks via Attribution Guided Factorization |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Warm Starting CMA-ES for Hyperparameter Optimization |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Wasserstein Distributionally Robust Inverse Multiobjective Optimization |
✅ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
3 |
| We Can Explain Your Research in Layman’s Terms: Towards Automating Science Journalism at Scale |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| Weakly Supervised Deep Hyperspherical Quantization for Image Retrieval |
❌ |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
4 |
| Weakly Supervised Semantic Segmentation for Large-Scale Point Cloud |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Weakly Supervised Temporal Action Localization Through Learning Explicit Subspaces for Action and Context |
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❌ |
✅ |
✅ |
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❌ |
✅ |
3 |
| Weakly-Supervised Hierarchical Models for Predicting Persuasive Strategies in Good-faith Textual Requests |
❌ |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
2 |
| Weakly-supervised Temporal Action Localization by Uncertainty Modeling |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Weighting-based Variable Neighborhood Search for Optimal Camera Placement |
✅ |
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✅ |
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✅ |
✅ |
✅ |
5 |
| Welfare Guarantees in Schelling Segregation |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| What the Role is vs. What Plays the Role: Semi-Supervised Event Argument Extraction via Dual Question Answering |
✅ |
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✅ |
✅ |
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✅ |
✅ |
5 |
| What to Select: Pursuing Consistent Motion Segmentation from Multiple Geometric Models |
✅ |
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✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| What’s the Best Place for an AI Conference, Vancouver or _______: Why Completing Comparative Questions is Difficult |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| When Hashing Met Matching: Efficient Spatio-Temporal Search for Ridesharing |
✅ |
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✅ |
❌ |
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❌ |
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5 |
| Who You Would Like to Share With? A Study of Share Recommendation in Social E-commerce |
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2 |
| Why Adversarial Interaction Creates Non-Homogeneous Patterns: A Pseudo-Reaction-Diffusion Model for Turing Instability |
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1 |
| Why Do Attributes Propagate in Graph Convolutional Neural Networks? |
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3 |
| Window Loss for Bone Fracture Detection and Localization in X-ray Images with Point-based Annotation |
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4 |
| Winning Lottery Tickets in Deep Generative Models |
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2 |
| Write-a-speaker: Text-based Emotional and Rhythmic Talking-head Generation |
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4 |
| Writing Polishment with Simile: Task, Dataset and A Neural Approach |
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5 |
| XL-WSD: An Extra-Large and Cross-Lingual Evaluation Framework for Word Sense Disambiguation |
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4 |
| XraySyn: Realistic View Synthesis From a Single Radiograph Through CT Priors |
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4 |
| YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design |
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4 |
| ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation |
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3 |
| eTREE: Learning Tree-structured Embeddings |
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5 |
| f-Aware Conflict Prioritization & Improved Heuristics For Conflict-Based Search |
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❌ |
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5 |
| i-Algebra: Towards Interactive Interpretability of Deep Neural Networks |
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1 |
| ‘Less Than One’-Shot Learning: Learning N Classes From M < N Samples |
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2 |