| 3D Crowd Counting via Multi-View Fusion with 3D Gaussian Kernels |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| 3D Human Pose Estimation Using Spatio-Temporal Networks with Explicit Occlusion Training |
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❌ |
✅ |
✅ |
❌ |
❌ |
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3 |
| 3D Human Pose Estimation via Explicit Compositional Depth Maps |
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❌ |
✅ |
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❌ |
❌ |
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3 |
| 3D Shape Completion with Multi-View Consistent Inference |
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✅ |
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2 |
| 3D Single-Person Concurrent Activity Detection Using Stacked Relation Network |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| A Bayesian Approach for Estimating Causal Effects from Observational Data |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| A Calculus for Stochastic Interventions:Causal Effect Identification and Surrogate Experiments |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| A Cardinal Improvement to Pseudo-Boolean Solving |
✅ |
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✅ |
❌ |
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❌ |
✅ |
3 |
| A Causal Inference Method for Reducing Gender Bias in Word Embedding Relations |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| A Character-Centric Neural Model for Automated Story Generation |
❌ |
✅ |
✅ |
✅ |
❌ |
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✅ |
4 |
| A Cluster-Weighted Kernel K-Means Method for Multi-View Clustering |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| A Coarse-to-Fine Adaptive Network for Appearance-Based Gaze Estimation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| A Comparison of Architectures and Pretraining Methods for Contextualized Multilingual Word Embeddings |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| A Constraint-Based Approach to Learning and Explanation |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| A Dataset for Low-Resource Stylized Sequence-to-Sequence Generation |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| A Distributed Multi-Sensor Machine Learning Approach to Earthquake Early Warning |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| A Forest from the Trees: Generation through Neighborhoods |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| A Framework for Engineering Human/Agent Teaming Systems |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| A Framework for Measuring Information Asymmetry |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| A Frank-Wolfe Framework for Efficient and Effective Adversarial Attacks |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| A General Approach to Fairness with Optimal Transport |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| A General Framework for Implicit and Explicit Debiasing of Distributional Word Vector Spaces |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| A Generalized Framework for Edge-Preserving and Structure-Preserving Image Smoothing |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| A Graph Auto-Encoder for Haplotype Assembly and Viral Quasispecies Reconstruction |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| A Human-AI Loop Approach for Joint Keyword Discovery and Expectation Estimation in Micropost Event Detection |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| A Joint Model for Definition Extraction with Syntactic Connection and Semantic Consistency |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| A Knowledge Transfer Framework for Differentially Private Sparse Learning |
✅ |
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✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| A Knowledge-Aware Attentional Reasoning Network for Recommendation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| A Large-Scale Dataset for Argument Quality Ranking: Construction and Analysis |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
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3 |
| A Learning Based Branch and Bound for Maximum Common Subgraph Related Problems |
✅ |
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✅ |
❌ |
✅ |
❌ |
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4 |
| A MaxSAT-Based Framework for Group Testing |
❌ |
✅ |
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❌ |
✅ |
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✅ |
3 |
| A Multi-Channel Neural Graphical Event Model with Negative Evidence |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| A Multi-Scale Approach for Graph Link Prediction |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| A Multi-Unit Profit Competitive Mechanism for Cellular Traffic Offloading |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| A Multiarmed Bandit Based Incentive Mechanism for a Subset Selection of Customers for Demand Response in Smart Grids |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| A Near-Optimal Change-Detection Based Algorithm for Piecewise-Stationary Combinatorial Semi-Bandits |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| A New Approach to Plan-Space Explanation: Analyzing Plan-Property Dependencies in Oversubscription Planning |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| A New Burrows Wheeler Transform Markov Distance |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| A New Dataset and Boundary-Attention Semantic Segmentation for Face Parsing |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| A New Ensemble Adversarial Attack Powered by Long-Term Gradient Memories |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| A New Framework for Online Testing of Heterogeneous Treatment Effect |
❌ |
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❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| A Novel Learning Framework for Sampling-Based Motion Planning in Autonomous Driving |
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❌ |
✅ |
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❌ |
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2 |
| A Novel Model for Imbalanced Data Classification |
✅ |
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✅ |
❌ |
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❌ |
✅ |
3 |
| A Particle Swarm Based Algorithm for Functional Distributed Constraint Optimization Problems |
✅ |
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✅ |
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✅ |
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4 |
| A Practical Approach to Forgetting in Description Logics with Nominals |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
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5 |
| A Pre-Training Based Personalized Dialogue Generation Model with Persona-Sparse Data |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
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3 |
| A Proposal-Based Approach for Activity Image-to-Video Retrieval |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
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2 |
| A Recurrent Model for Collective Entity Linking with Adaptive Features |
❌ |
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✅ |
✅ |
✅ |
❌ |
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5 |
| A Restricted Black-Box Adversarial Framework Towards Attacking Graph Embedding Models |
✅ |
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✅ |
✅ |
❌ |
❌ |
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4 |
| A Robust Adversarial Training Approach to Machine Reading Comprehension |
✅ |
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✅ |
✅ |
❌ |
❌ |
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4 |
| A Simple and Efficient Tensor Calculus |
❌ |
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❌ |
❌ |
✅ |
✅ |
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4 |
| A Simple, Fast, and Safe Mediator for Congestion Management |
✅ |
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❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| A Simultaneous Discover-Identify Approach to Causal Inference in Linear Models |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| A Skip-Connected Evolving Recurrent Neural Network for Data Stream Classification under Label Latency Scenario |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
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3 |
| A Spherical Convolution Approach for Learning Long Term Viewport Prediction in 360 Immersive Video |
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✅ |
✅ |
✅ |
✅ |
❌ |
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5 |
| A Stochastic Derivative-Free Optimization Method with Importance Sampling: Theory and Learning to Control |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| A Tale of Two-Timescale Reinforcement Learning with the Tightest Finite-Time Bound |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| A Three-Level Optimization Model for Nonlinearly Separable Clustering |
✅ |
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✅ |
❌ |
✅ |
❌ |
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4 |
| A Unified Framework for Knowledge Intensive Gradient Boosting: Leveraging Human Experts for Noisy Sparse Domains |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| A Unifying View on Individual Bounds and Heuristic Inaccuracies in Bidirectional Search |
✅ |
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✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| A Variational Autoencoder with Deep Embedding Model for Generalized Zero-Shot Learning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| A Variational Perturbative Approach to Planning in Graph-Based Markov Decision Processes |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
3 |
| A Variational Point Process Model for Social Event Sequences |
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✅ |
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❌ |
❌ |
✅ |
2 |
| AATEAM: Achieving the Ad Hoc Teamwork by Employing the Attention Mechanism |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| ABSent: Cross-Lingual Sentence Representation Mapping with Bidirectional GANs |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
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3 |
| ADDMC: Weighted Model Counting with Algebraic Decision Diagrams |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| ALOHA: Artificial Learning of Human Attributes for Dialogue Agents |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| AUC Optimization with a Reject Option |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| AWR: Adaptive Weighting Regression for 3D Hand Pose Estimation |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Abstract Interpretation of Decision Tree Ensemble Classifiers |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Absum: Simple Regularization Method for Reducing Structural Sensitivity of Convolutional Neural Networks |
❌ |
❌ |
✅ |
❌ |
✅ |
✅ |
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4 |
| Accelerating Column Generation via Flexible Dual Optimal Inequalities with Application to Entity Resolution |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Accelerating Primal Solution Findings for Mixed Integer Programs Based on Solution Prediction |
✅ |
❌ |
❌ |
✅ |
✅ |
✅ |
✅ |
5 |
| Accelerating and Improving AlphaZero Using Population Based Training |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| Accurate Structured-Text Spotting for Arithmetical Exercise Correction |
❌ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
2 |
| Accurate Temporal Action Proposal Generation with Relation-Aware Pyramid Network |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Achieving Fairness in the Stochastic Multi-Armed Bandit Problem |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Acquiring Knowledge from Pre-Trained Model to Neural Machine Translation |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Actionable Ethics through Neural Learning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Active Goal Recognition |
✅ |
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✅ |
❌ |
❌ |
❌ |
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3 |
| Active Learning in the Geometric Block Model |
✅ |
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✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Active Learning with Query Generation for Cost-Effective Text Classification |
✅ |
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✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Active Ordinal Querying for Tuplewise Similarity Learning |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| ActiveThief: Model Extraction Using Active Learning and Unannotated Public Data |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Actor Critic Deep Reinforcement Learning for Neural Malware Control |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| AdaCare: Explainable Clinical Health Status Representation Learning via Scale-Adaptive Feature Extraction and Recalibration |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| AdaFilter: Adaptive Filter Fine-Tuning for Deep Transfer Learning |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
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4 |
| Adapting Language Models for Non-Parallel Author-Stylized Rewriting |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Adapting Stable Matchings to Evolving Preferences |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Adapting to Smoothness: A More Universal Algorithm for Online Convex Optimization |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Adaptive Activation Network and Functional Regularization for Efficient and Flexible Deep Multi-Task Learning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Adaptive Convolutional ReLUs |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Adaptive Cross-Modal Embeddings for Image-Text Alignment |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
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5 |
| Adaptive Double-Exploration Tradeoff for Outlier Detection |
✅ |
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✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
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4 |
| Adaptive Greedy versus Non-Adaptive Greedy for Influence Maximization |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Adaptive Quantitative Trading: An Imitative Deep Reinforcement Learning Approach |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs |
✅ |
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❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Adaptive Two-Dimensional Embedded Image Clustering |
✅ |
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✅ |
❌ |
❌ |
❌ |
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3 |
| Adaptive Unimodal Cost Volume Filtering for Deep Stereo Matching |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Adversarial Attack on Deep Product Quantization Network for Image Retrieval |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Adversarial Cross-Domain Action Recognition with Co-Attention |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Adversarial Deep Network Embedding for Cross-Network Node Classification |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Adversarial Disentanglement with Grouped Observations |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
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4 |
| Adversarial Domain Adaptation with Domain Mixup |
✅ |
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✅ |
❌ |
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❌ |
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3 |
| Adversarial Dynamic Shapelet Networks |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Adversarial Fence Patrolling: Non-Uniform Policies for Asymmetric Environments |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Adversarial Learning of Privacy-Preserving and Task-Oriented Representations |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Adversarial Localized Energy Network for Structured Prediction |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Adversarial Training Based Multi-Source Unsupervised Domain Adaptation for Sentiment Analysis |
✅ |
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✅ |
✅ |
❌ |
❌ |
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4 |
| Adversarial Transformations for Semi-Supervised Learning |
✅ |
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✅ |
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4 |
| Adversarial-Learned Loss for Domain Adaptation |
❌ |
✅ |
✅ |
❌ |
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❌ |
✅ |
3 |
| Adversarially Robust Distillation |
✅ |
✅ |
✅ |
❌ |
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❌ |
✅ |
5 |
| Adversary for Social Good: Protecting Familial Privacy through Joint Adversarial Attacks |
✅ |
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✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Age Progression and Regression with Spatial Attention Modules |
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❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Aggregated Gradient Langevin Dynamics |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Aggregated Learning: A Vector-Quantization Approach to Learning Neural Network Classifiers |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Aggregation of Perspectives Using the Constellations Approach to Probabilistic Argumentation |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| AirNet: A Calibration Model for Low-Cost Air Monitoring Sensors Using Dual Sequence Encoder Networks |
❌ |
✅ |
❌ |
✅ |
✅ |
❌ |
✅ |
4 |
| Algorithmic Improvements for Deep Reinforcement Learning Applied to Interactive Fiction |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Algorithms for Manipulating Sequential Allocation |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Alignment-Enhanced Transformer for Constraining NMT with Pre-Specified Translations |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| All You Need Is Boundary: Toward Arbitrary-Shaped Text Spotting |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| All-Pay Bidding Games on Graphs |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Alternating Language Modeling for Cross-Lingual Pre-Training |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| An ADMM Based Framework for AutoML Pipeline Configuration |
✅ |
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✅ |
✅ |
❌ |
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✅ |
4 |
| An Adversarial Perturbation Oriented Domain Adaptation Approach for Semantic Segmentation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| An Analysis Framework for Metric Voting based on LP Duality |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| An Annotated Corpus of Reference Resolution for Interpreting Common Grounding |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| An Annotation Sparsification Strategy for 3D Medical Image Segmentation via Representative Selection and Self-Training |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| An Attention-Based Graph Neural Network for Heterogeneous Structural Learning |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| An Attentional Recurrent Neural Network for Personalized Next Location Recommendation |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| An Effective Hard Thresholding Method Based on Stochastic Variance Reduction for Nonconvex Sparse Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| An Efficient Evolutionary Algorithm for Subset Selection with General Cost Constraints |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| An Efficient Explorative Sampling Considering the Generative Boundaries of Deep Generative Neural Networks |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| An Efficient Framework for Dense Video Captioning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| An Empirical Study of Content Understanding in Conversational Question Answering |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| An End-to-End Visual-Audio Attention Network for Emotion Recognition in User-Generated Videos |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| An Implicit Form of Krasulina’s k-PCA Update without the Orthonormality Constraint |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| An Information-Theoretic Quantification of Discrimination with Exempt Features |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| An Integrated Enhancement Solution for 24-Hour Colorful Imaging |
❌ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
2 |
| An Interactive Regret-Based Genetic Algorithm for Solving Multi-Objective Combinatorial Optimization Problems |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| An Intrinsically-Motivated Approach for Learning Highly Exploring and Fast Mixing Policies |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| An Iterative Polishing Framework Based on Quality Aware Masked Language Model for Chinese Poetry Generation |
✅ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
3 |
| An Objective for Hierarchical Clustering in Euclidean Space and Its Connection to Bisecting K-means |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| An Operational Semantics for True Concurrency in BDI Agent Systems |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| An Ordinal Data Clustering Algorithm with Automated Distance Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Analysis of One-to-One Matching Mechanisms via SAT Solving: Impossibilities for Universal Axioms |
❌ |
✅ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| Answering Conjunctive Queries with Inequalities inDL-Liteℛ |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Appearance and Motion Enhancement for Video-Based Person Re-Identification |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Apprenticeship Learning via Frank-Wolfe |
✅ |
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❌ |
❌ |
❌ |
✅ |
2 |
| Approval-Based Apportionment |
❌ |
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❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Are Noisy Sentences Useless for Distant Supervised Relation Extraction? |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
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2 |
| Asking the Right Questions to the Right Users: Active Learning with Imperfect Oracles |
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❌ |
✅ |
✅ |
❌ |
❌ |
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3 |
| Aspect-Aware Multimodal Summarization for Chinese E-Commerce Products |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Assessing the Benchmarking Capacity of Machine Reading Comprehension Datasets |
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❌ |
✅ |
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❌ |
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3 |
| Associating Natural Language Comment and Source Code Entities |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
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4 |
| Associative Variational Auto-Encoder with Distributed Latent Spaces and Associators |
❌ |
❌ |
✅ |
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❌ |
❌ |
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2 |
| Asymmetric Co-Teaching for Unsupervised Cross-Domain Person Re-Identification |
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✅ |
✅ |
❌ |
❌ |
❌ |
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4 |
| Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation |
❌ |
❌ |
✅ |
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❌ |
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3 |
| Asymptotic Risk of Bézier Simplex Fitting |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
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4 |
| Asymptotically Unambitious Artificial General Intelligence |
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❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| AtLoc: Attention Guided Camera Localization |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
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5 |
| Atari-HEAD: Atari Human Eye-Tracking and Demonstration Dataset |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Attending to Entities for Better Text Understanding |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
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4 |
| Attention Based Data Hiding with Generative Adversarial Networks |
✅ |
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✅ |
✅ |
❌ |
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4 |
| Attention-Based Multi-Modal Fusion Network for Semantic Scene Completion |
❌ |
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✅ |
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❌ |
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3 |
| Attention-Based View Selection Networks for Light-Field Disparity Estimation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
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4 |
| Attention-Guide Walk Model in Heterogeneous Information Network for Multi-Style Recommendation Explanation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
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3 |
| Attention-Informed Mixed-Language Training for Zero-Shot Cross-Lingual Task-Oriented Dialogue Systems |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
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3 |
| Attention-over-Attention Field-Aware Factorization Machine |
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3 |
| Attentive Experience Replay |
✅ |
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4 |
| Attentive User-Engaged Adversarial Neural Network for Community Question Answering |
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✅ |
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3 |
| Attractive or Faithful? Popularity-Reinforced Learning for Inspired Headline Generation |
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❌ |
✅ |
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❌ |
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2 |
| Attribute Propagation Network for Graph Zero-Shot Learning |
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✅ |
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3 |
| Augmenting the Power of (Partial) MaxSat Resolution with Extension |
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✅ |
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3 |
| Author Name Disambiguation on Heterogeneous Information Network with Adversarial Representation Learning |
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3 |
| Auto-GAN: Self-Supervised Collaborative Learning for Medical Image Synthesis |
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✅ |
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5 |
| AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates |
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4 |
| AutoDAL: Distributed Active Learning with Automatic Hyperparameter Selection |
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4 |
| AutoRemover: Automatic Object Removal for Autonomous Driving Videos |
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✅ |
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3 |
| AutoShrink: A Topology-Aware NAS for Discovering Efficient Neural Architecture |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
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3 |
| Automated Spectral Kernel Learning |
❌ |
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✅ |
✅ |
❌ |
❌ |
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3 |
| Automated Synthesis of Social Laws in STRIPS |
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❌ |
✅ |
❌ |
✅ |
✅ |
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4 |
| Automatic Fact-Guided Sentence Modification |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
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4 |
| Automatic Generation of Headlines for Online Math Questions |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
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5 |
| Automatic Verification of Liveness Properties in the Situation Calculus |
✅ |
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❌ |
❌ |
✅ |
❌ |
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3 |
| Automatically Neutralizing Subjective Bias in Text |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
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5 |
| AvgOut: A Simple Output-Probability Measure to Eliminate Dull Responses |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| BAR — A Reinforcement Learning Agent for Bounding-Box Automated Refinement |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| BOWL: Bayesian Optimization for Weight Learning in Probabilistic Soft Logic |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
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5 |
| Back to the Future – Temporal Adaptation of Text Representations |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
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3 |
| Background Suppression Network for Weakly-Supervised Temporal Action Localization |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Balancing Quality and Human Involvement: An Effective Approach to Interactive Neural Machine Translation |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Balancing Spreads of Influence in a Social Network |
✅ |
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❌ |
❌ |
❌ |
❌ |
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1 |
| Balancing the Tradeoff between Profit and Fairness in Rideshare Platforms during High-Demand Hours |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
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4 |
| Bayes-Adaptive Monte-Carlo Planning and Learning for Goal-Oriented Dialogues |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
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3 |
| Bayesian Optimization for Categorical and Category-Specific Continuous Inputs |
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✅ |
✅ |
❌ |
❌ |
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4 |
| Be Relevant, Non-Redundant, and Timely: Deep Reinforcement Learning for Real-Time Event Summarization |
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❌ |
✅ |
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❌ |
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3 |
| Being Optimistic to Be Conservative: Quickly Learning a CVaR Policy |
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❌ |
❌ |
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3 |
| Beliefs We Can Believe in: Replacing Assumptions with Data in Real-Time Search |
✅ |
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✅ |
❌ |
✅ |
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4 |
| Benign Examples: Imperceptible Changes Can Enhance Image Translation Performance |
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❌ |
✅ |
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❌ |
❌ |
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2 |
| Beyond Digital Domain: Fooling Deep Learning Based Recognition System in Physical World |
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❌ |
❌ |
❌ |
✅ |
✅ |
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3 |
| Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks |
✅ |
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✅ |
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❌ |
❌ |
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4 |
| Beyond Pairwise Comparisons in Social Choice: A Setwise Kemeny Aggregation Problem |
❌ |
❌ |
❌ |
❌ |
✅ |
❌ |
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2 |
| Beyond Trees: Analysis and Convergence of Belief Propagation in Graphs with Multiple Cycles |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Beyond Unfolding: Exact Recovery of Latent Convex Tensor Decomposition Under Reshuffling |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Beyond the Grounding Bottleneck: Datalog Techniques for Inference in Probabilistic Logic Programs |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
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5 |
| Bi-Directional Generation for Unsupervised Domain Adaptation |
❌ |
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✅ |
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❌ |
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2 |
| Bi-Level Actor-Critic for Multi-Agent Coordination |
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✅ |
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2 |
| Bi-Objective Continual Learning: Learning ‘New’ While Consolidating ‘Known’ |
✅ |
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✅ |
✅ |
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5 |
| Bidding in Smart Grid PDAs: Theory, Analysis and Strategy |
✅ |
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❌ |
❌ |
❌ |
✅ |
2 |
| Binarized Neural Architecture Search |
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❌ |
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5 |
| Biologically Plausible Sequence Learning with Spiking Neural Networks |
✅ |
✅ |
✅ |
❌ |
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4 |
| Bivariate Beta-LSTM |
❌ |
✅ |
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4 |
| Blameworthiness in Security Games |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
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0 |
| Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
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5 |
| Boundary Enhanced Neural Span Classification for Nested Named Entity Recognition |
❌ |
❌ |
✅ |
✅ |
❌ |
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3 |
| Bounded Incentives in Manipulating the Probabilistic Serial Rule |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Bounding Regret in Empirical Games |
✅ |
❌ |
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❌ |
✅ |
❌ |
✅ |
3 |
| Bounds and Complexity Results for Learning Coalition-Based Interaction Functions in Networked Social Systems |
❌ |
❌ |
✅ |
❌ |
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❌ |
✅ |
2 |
| Brain-Mediated Transfer Learning of Convolutional Neural Networks |
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3 |
| Bridging Maximum Likelihood and Adversarial Learning via α-Divergence |
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4 |
| Bridging the Gap between Pre-Training and Fine-Tuning for End-to-End Speech Translation |
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❌ |
✅ |
✅ |
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4 |
| Building Calibrated Deep Models via Uncertainty Matching with Auxiliary Interval Predictors |
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4 |
| Bursting the Filter Bubble: Fairness-Aware Network Link Prediction |
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✅ |
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2 |
| CAG: A Real-Time Low-Cost Enhanced-Robustness High-Transferability Content-Aware Adversarial Attack Generator |
✅ |
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✅ |
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5 |
| CASE: Context-Aware Semantic Expansion |
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2 |
| CASIE: Extracting Cybersecurity Event Information from Text |
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4 |
| CASTER: Predicting Drug Interactions with Chemical Substructure Representation |
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6 |
| CAWA: An Attention-Network for Credit Attribution |
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4 |
| CBNet: A Novel Composite Backbone Network Architecture for Object Detection |
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6 |
| CD-UAP: Class Discriminative Universal Adversarial Perturbation |
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3 |
| CF-LSTM: Cascaded Feature-Based Long Short-Term Networks for Predicting Pedestrian Trajectory |
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3 |
| CFGNN: Cross Flow Graph Neural Networks for Question Answering on Complex Tables |
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3 |
| CG-GAN: An Interactive Evolutionary GAN-Based Approach for Facial Composite Generation |
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3 |
| CGD: Multi-View Clustering via Cross-View Graph Diffusion |
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4 |
| CIAN: Cross-Image Affinity Net for Weakly Supervised Semantic Segmentation |
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4 |
| COBRA: Context-Aware Bernoulli Neural Networks for Reputation Assessment |
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3 |
| CONAN: Complementary Pattern Augmentation for Rare Disease Detection |
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4 |
| CORE: Automatic Molecule Optimization Using Copy & Refine Strategy |
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4 |
| COTSAE: CO-Training of Structure and Attribute Embeddings for Entity Alignment |
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5 |
| CSI: A Coarse Sense Inventory for 85% Word Sense Disambiguation |
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4 |
| CSPN++: Learning Context and Resource Aware Convolutional Spatial Propagation Networks for Depth Completion |
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4 |
| Cakewalk Sampling |
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3 |
| Can Embeddings Adequately Represent Medical Terminology? New Large-Scale Medical Term Similarity Datasets Have the Answer! |
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2 |
| Can We Predict the Election Outcome from Sampled Votes? |
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✅ |
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❌ |
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2 |
| Capsule Routing via Variational Bayes |
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✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Capturing Greater Context for Question Generation |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Capturing Sentence Relations for Answer Sentence Selection with Multi-Perspective Graph Encoding |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Capturing the Style of Fake News |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Cascading Convolutional Color Constancy |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| CatGAN: Category-Aware Generative Adversarial Networks with Hierarchical Evolutionary Learning for Category Text Generation |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Causal Discovery from Multiple Data Sets with Non-Identical Variable Sets |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Causal Transfer for Imitation Learning and Decision Making under Sensor-Shift |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Causally Denoise Word Embeddings Using Half-Sibling Regression |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Chain Length and CSPs Learnable with Few Queries |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Chained Representation Cycling: Learning to Estimate 3D Human Pose and Shape by Cycling Between Representations |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| Channel Attention Is All You Need for Video Frame Interpolation |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Channel Interaction Networks for Fine-Grained Image Categorization |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Channel Pruning Guided by Classification Loss and Feature Importance |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Checking Chase Termination over Ontologies of Existential Rules with Equality |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Chemically Interpretable Graph Interaction Network for Prediction of Pharmacokinetic Properties of Drug-Like Molecules |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| CircleNet for Hip Landmark Detection |
❌ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
2 |
| Class Prior Estimation with Biased Positives and Unlabeled Examples |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Clouseau: Generating Communication Protocols from Commitments |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Co-Attention Hierarchical Network: Generating Coherent Long Distractors for Reading Comprehension |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Co-GCN for Multi-View Semi-Supervised Learning |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Co-Occurrence Estimation from Aggregated Data with Auxiliary Information |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| CoCoX: Generating Conceptual and Counterfactual Explanations via Fault-Lines |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
3 |
| Coarse Correlation in Extensive-Form Games |
❌ |
❌ |
❌ |
❌ |
✅ |
✅ |
✅ |
3 |
| Coarse-to-Fine Hyper-Prior Modeling for Learned Image Compression |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Collaborative Graph Convolutional Networks: Unsupervised Learning Meets Semi-Supervised Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Collaborative Sampling in Generative Adversarial Networks |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Commonsense Knowledge Base Completion with Structural and Semantic Context |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Communication Learning via Backpropagation in Discrete Channels with Unknown Noise |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Communication, Distortion, and Randomness in Metric Voting |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Compact Autoregressive Network |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Comparing Election Methods Where Each Voter Ranks Only Few Candidates |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Complementary Auxiliary Classifiers for Label-Conditional Text Generation |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Complementary-View Multiple Human Tracking |
✅ |
✅ |
❌ |
❌ |
✅ |
❌ |
✅ |
4 |
| Complexity and Expressive Power of Disjunction and Negation in Limit Datalog |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Complexity of Computing the Shapley Value in Games with Externalities |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Compressed Self-Attention for Deep Metric Learning |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Computing Equilibria in Binary Networked Public Goods Games |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Computing Superior Counter-Examples for Conformant Planning |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
3 |
| Computing Team-Maxmin Equilibria in Zero-Sum Multiplayer Extensive-Form Games |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| ConCare: Personalized Clinical Feature Embedding via Capturing the Healthcare Context |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| Conclusion-Supplement Answer Generation for Non-Factoid Questions |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Conditional Generative Neural Decoding with Structured CNN Feature Prediction |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Conquering the CNN Over-Parameterization Dilemma: A Volterra Filtering Approach for Action Recognition |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Consistent Video Style Transfer via Compound Regularization |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Constructing Minimal Perfect Hash Functions Using SAT Technology |
❌ |
✅ |
❌ |
❌ |
✅ |
✅ |
✅ |
4 |
| Constructing Multiple Tasks for Augmentation: Improving Neural Image Classification with K-Means Features |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Context Modulated Dynamic Networks for Actor and Action Video Segmentation with Language Queries |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Context-Aware Zero-Shot Recognition |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Context-Transformer: Tackling Object Confusion for Few-Shot Detection |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Contextual Parameter Generation for Knowledge Graph Link Prediction |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Contextual-Bandit Based Personalized Recommendation with Time-Varying User Interests |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Contiguous Cake Cutting: Hardness Results and Approximation Algorithms |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Continuous Multiagent Control Using Collective Behavior Entropy for Large-Scale Home Energy Management |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Control Flow Graph Embedding Based on Multi-Instance Decomposition for Bug Localization |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Controlling Neural Machine Translation Formality with Synthetic Supervision |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Controlling the Amount of Verbatim Copying in Abstractive Summarization |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Convergence of Opinion Diffusion is PSPACE-Complete |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Convolutional Hierarchical Attention Network for Query-Focused Video Summarization |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Coordinated Reasoning for Cross-Lingual Knowledge Graph Alignment |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Copy or Rewrite: Hybrid Summarization with Hierarchical Reinforcement Learning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| CopyMTL: Copy Mechanism for Joint Extraction of Entities and Relations with Multi-Task Learning |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Corpus Wide Argument Mining—A Working Solution |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| Corpus-Level End-to-End Exploration for Interactive Systems |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Correcting Predictions for Approximate Bayesian Inference |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Cost-Accuracy Aware Adaptive Labeling for Active Learning |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Cost-Effective Incentive Allocation via Structured Counterfactual Inference |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Count-Based Exploration with the Successor Representation |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Coupled-View Deep Classifier Learning from Multiple Noisy Annotators |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Crisis-DIAS: Towards Multimodal Damage Analysis – Deployment, Challenges and Assessment |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Cross-Lingual Low-Resource Set-to-Description Retrieval for Global E-Commerce |
❌ |
✅ |
❌ |
✅ |
❌ |
❌ |
✅ |
3 |
| Cross-Lingual Natural Language Generation via Pre-Training |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Cross-Lingual Pre-Training Based Transfer for Zero-Shot Neural Machine Translation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Cross-Modal Attention Network for Temporal Inconsistent Audio-Visual Event Localization |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| Cross-Modal Subspace Clustering via Deep Canonical Correlation Analysis |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Cross-Modality Attention with Semantic Graph Embedding for Multi-Label Classification |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Cross-Modality Paired-Images Generation for RGB-Infrared Person Re-Identification |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Crowd Counting with Decomposed Uncertainty |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Crowd-Assisted Disaster Scene Assessment with Human-AI Interactive Attention |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Crowdfunding Dynamics Tracking: A Reinforcement Learning Approach |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Cut-Based Graph Learning Networks to Discover Compositional Structure of Sequential Video Data |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Cycle-CNN for Colorization towards Real Monochrome-Color Camera Systems |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| D-SPIDER-SFO: A Decentralized Optimization Algorithm with Faster Convergence Rate for Nonconvex Problems |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| D2D-LSTM: LSTM-Based Path Prediction of Content Diffusion Tree in Device-to-Device Social Networks |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| DARB: A Density-Adaptive Regular-Block Pruning for Deep Neural Networks |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| DASOT: A Unified Framework Integrating Data Association and Single Object Tracking for Online Multi-Object Tracking |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| DATA-GRU: Dual-Attention Time-Aware Gated Recurrent Unit for Irregular Multivariate Time Series |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| DCMN+: Dual Co-Matching Network for Multi-Choice Reading Comprehension |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| DCR-Net: A Deep Co-Interactive Relation Network for Joint Dialog Act Recognition and Sentiment Classification |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| DGCN: Dynamic Graph Convolutional Network for Efficient Multi-Person Pose Estimation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| DGE: Deep Generative Network Embedding Based on Commonality and Individuality |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
3 |
| DIANet: Dense-and-Implicit Attention Network |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| DMRM: A Dual-Channel Multi-Hop Reasoning Model for Visual Dialog |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| DNNs as Layers of Cooperating Classifiers |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| DWM: A Decomposable Winograd Method for Convolution Acceleration |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| DeGAN: Data-Enriching GAN for Retrieving Representative Samples from a Trained Classifier |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Deception through Half-Truths |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Decidability and Complexity of Action-Based Temporal Planning over Dense Time |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Deciding Acceptance in Incomplete Argumentation Frameworks |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| Deciding the Loosely Guarded Fragment and Querying Its Horn Fragment Using Resolution |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Decoupled Attention Network for Text Recognition |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Deep Attentive Ranking Networks for Learning to Order Sentences |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Deep Bayesian Nonparametric Learning of Rules and Plans from Demonstrations with a Learned Automaton Prior |
✅ |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
2 |
| Deep Camouflage Images |
❌ |
✅ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| Deep Conservative Policy Iteration |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Deep Discriminative CNN with Temporal Ensembling for Ambiguously-Labeled Image Classification |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Deep Domain-Adversarial Image Generation for Domain Generalisation |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Deep Embedded Complementary and Interactive Information for Multi-View Classification |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Deep Embedded Non-Redundant Clustering |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Deep Generative Probabilistic Graph Neural Networks for Scene Graph Generation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Deep Learning—Powered Iterative Combinatorial Auctions |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| Deep Match to Rank Model for Personalized Click-Through Rate Prediction |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Deep Message Passing on Sets |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Deep Mixed Effect Model Using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Deep Model-Based Reinforcement Learning via Estimated Uncertainty and Conservative Policy Optimization |
✅ |
✅ |
❌ |
❌ |
✅ |
❌ |
✅ |
4 |
| Deep Neural Network Approximated Dynamic Programming for Combinatorial Optimization |
✅ |
❌ |
❌ |
✅ |
✅ |
❌ |
✅ |
4 |
| Deep Object Co-Segmentation via Spatial-Semantic Network Modulation |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Deep Reinforcement Learning for Active Human Pose Estimation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Deep Reinforcement Learning for General Game Playing |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Deep Reservoir Computing Meets 5G MIMO-OFDM Systems in Symbol Detection |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Deep Residual-Dense Lattice Network for Speech Enhancement |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Deep Spiking Delayed Feedback Reservoirs and Its Application in Spectrum Sensing of MIMO-OFDM Dynamic Spectrum Sharing |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Deep Time-Stream Framework for Click-through Rate Prediction by Tracking Interest Evolution |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Deep Unsupervised Binary Coding Networks for Multivariate Time Series Retrieval |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| DeepAlerts: Deep Learning Based Multi-Horizon Alerts for Clinical Deterioration on Oncology Hospital Wards |
✅ |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
2 |
| DeepDualMapper: A Gated Fusion Network for Automatic Map Extraction Using Aerial Images and Trajectories |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| DeepVar: An End-to-End Deep Learning Approach for Genomic Variant Recognition in Biomedical Literature |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Defending with Shared Resources on a Network |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| DefogGAN: Predicting Hidden Information in the StarCraft Fog of War with Generative Adversarial Nets |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Delay-Adaptive Distributed Stochastic Optimization |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Dempster-Shafer Theoretic Learning of Indirect Speech Act Comprehension Norms |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Designing Committees for Mitigating Biases |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Detecting Asks in Social Engineering Attacks: Impact of Linguistic and Structural Knowledge |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Detecting Human-Object Interactions via Functional Generalization |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Detecting Semantic Anomalies |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Detecting and Tracking Communal Bird Roosts in Weather Radar Data |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Deterministic Value-Policy Gradients |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Diachronic Embedding for Temporal Knowledge Graph Completion |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Dialog State Tracking with Reinforced Data Augmentation |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Differentiable Algorithm for Marginalising Changepoints |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Differentiable Grammars for Videos |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Differentiable Meta-Learning Model for Few-Shot Semantic Segmentation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Differentiable Reasoning on Large Knowledge Bases and Natural Language |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Differential Equation Units: Learning Functional Forms of Activation Functions from Data |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
7 |
| Differentially Private Learning with Small Public Data |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Differentially Private and Fair Classification via Calibrated Functional Mechanism |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Discontinuous Constituent Parsing with Pointer Networks |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Discourse Level Factors for Sentence Deletion in Text Simplification |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Discovering New Intents via Constrained Deep Adaptive Clustering with Cluster Refinement |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Discretizing Continuous Action Space for On-Policy Optimization |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Discriminating Cognitive Disequilibrium and Flow in Problem Solving: A Semi-Supervised Approach Using Involuntary Dynamic Behavioral Signals |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
1 |
| Discriminative Adversarial Domain Adaptation |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Discriminative Sentence Modeling for Story Ending Prediction |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Discriminative and Robust Online Learning for Siamese Visual Tracking |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Distance-Based Equilibria in Normal-Form Games |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Distilling Knowledge from Well-Informed Soft Labels for Neural Relation Extraction |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Distilling Portable Generative Adversarial Networks for Image Translation |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Distraction-Aware Feature Learning for Human Attribute Recognition via Coarse-to-Fine Attention Mechanism |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Distributed Machine Learning through Heterogeneous Edge Systems |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Distributed Primal-Dual Optimization for Online Multi-Task Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Distributed Representations for Arithmetic Word Problems |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Distributed Stochastic Gradient Descent with Event-Triggered Communication |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Distributionally Robust Counterfactual Risk Minimization |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Diversified Bayesian Nonnegative Matrix Factorization |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Diversified Interactive Recommendation with Implicit Feedback |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Diversity Transfer Network for Few-Shot Learning |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Divide and Conquer: Question-Guided Spatio-Temporal Contextual Attention for Video Question Answering |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Divide-and-Conquer Learning with Nyström: Optimal Rate and Algorithm |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Do Not Have Enough Data? Deep Learning to the Rescue! |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Do Subsampled Newton Methods Work for High-Dimensional Data? |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Doctor2Vec: Dynamic Doctor Representation Learning for Clinical Trial Recruitment |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
✅ |
6 |
| Document Summarization with VHTM: Variational Hierarchical Topic-Aware Mechanism |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Domain Adaptive Attention Learning for Unsupervised Person Re-Identification |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Domain Conditioned Adaptation Network |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Domain Generalization Using a Mixture of Multiple Latent Domains |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Double-Oracle Sampling Method for Stackelberg Equilibrium Approximation in General-Sum Extensive-Form Games |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Draft and Edit: Automatic Storytelling Through Multi-Pass Hierarchical Conditional Variational Autoencoder |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Dual Adversarial Co-Learning for Multi-Domain Text Classification |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Dual Relation Semi-Supervised Multi-Label Learning |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| DualVD: An Adaptive Dual Encoding Model for Deep Visual Understanding in Visual Dialogue |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Dynamic Control of Probabilistic Simple Temporal Networks |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Dynamic Embedding on Textual Networks via a Gaussian Process |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Dynamic Graph Representation for Occlusion Handling in Biometrics |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Dynamic Instance Normalization for Arbitrary Style Transfer |
❌ |
❌ |
✅ |
❌ |
✅ |
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✅ |
3 |
| Dynamic Knowledge Routing Network for Target-Guided Open-Domain Conversation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Dynamic Malware Analysis with Feature Engineering and Feature Learning |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Dynamic Network Pruning with Interpretable Layerwise Channel Selection |
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❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Dynamic Programming for Predict+Optimise |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Dynamic Reward-Based Dueling Deep Dyna-Q: Robust Policy Learning in Noisy Environments |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
3 |
| Dynamic Sampling Network for Semantic Segmentation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Dynamical System Inspired Adaptive Time Stepping Controller for Residual Network Families |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| EAC-Net: Efficient and Accurate Convolutional Network for Video Recognition |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| EC-GAN: Inferring Brain Effective Connectivity via Generative Adversarial Networks |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| ECGadv: Generating Adversarial Electrocardiogram to Misguide Arrhythmia Classification System |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| EEMEFN: Low-Light Image Enhancement via Edge-Enhanced Multi-Exposure Fusion Network |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| EFANet: Exchangeable Feature Alignment Network for Arbitrary Style Transfer |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| EHSOD: CAM-Guided End-to-End Hybrid-Supervised Object Detection with Cascade Refinement |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| EPOC: Efficient Perception via Optimal Communication |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| ERNIE 2.0: A Continual Pre-Training Framework for Language Understanding |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Effective AER Object Classification Using Segmented Probability-Maximization Learning in Spiking Neural Networks |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Effective Data Augmentation with Multi-Domain Learning GANs |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Effective Decoding in Graph Auto-Encoder Using Triadic Closure |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Effective Modeling of Encoder-Decoder Architecture for Joint Entity and Relation Extraction |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Efficient Algorithms for Generating Provably Near-Optimal Cluster Descriptors for Explainability |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Efficient Automatic CASH via Rising Bandits |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Efficient Facial Feature Learning with Wide Ensemble-Based Convolutional Neural Networks |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Efficient Heterogeneous Collaborative Filtering without Negative Sampling for Recommendation |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Efficient Inference of Optimal Decision Trees |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Efficient Model-Based Diagnosis of Sequential Circuits |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Efficient Neural Architecture Search via Proximal Iterations |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Efficient Projection-Free Online Methods with Stochastic Recursive Gradient |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Efficient Querying from Weighted Binary Codes |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Efficient Residual Dense Block Search for Image Super-Resolution |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Efficient Verification of ReLU-Based Neural Networks via Dependency Analysis |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| Efficiently Enumerating Substrings with Statistically Significant Frequencies of Locally Optimal Occurrences in Gigantic String |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Eigenvalue Normalized Recurrent Neural Networks for Short Term Memory |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| ElGolog: A High-Level Programming Language with Memory of the Execution History |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
❌ |
3 |
| Electing Successive Committees: Complexity and Algorithms |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Election Control in Social Networks via Edge Addition or Removal |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| ElixirNet: Relation-Aware Network Architecture Adaptation for Medical Lesion Detection |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Embedding Compression with Isotropic Iterative Quantization |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Empirical Bounds on Linear Regions of Deep Rectifier Networks |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Emu: Enhancing Multilingual Sentence Embeddings with Semantic Specialization |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| End-to-End Argumentation Knowledge Graph Construction |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| End-to-End Bootstrapping Neural Network for Entity Set Expansion |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| End-to-End Game-Focused Learning of Adversary Behavior in Security Games |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| End-to-End Learning of Object Motion Estimation from Retinal Events for Event-Based Object Tracking |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| End-to-End Thorough Body Perception for Person Search |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| End-to-End Trainable Non-Collaborative Dialog System |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| End-to-End Unpaired Image Denoising with Conditional Adversarial Networks |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Enhanced Meta-Learning for Cross-Lingual Named Entity Recognition with Minimal Resources |
✅ |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
5 |
| Enhancing Natural Language Inference Using New and Expanded Training Data Sets and New Learning Models |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Enhancing Nearest Neighbor Based Entropy Estimator for High Dimensional Distributions via Bootstrapping Local Ellipsoid |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
3 |
| Enhancing Personalized Trip Recommendation with Attractive Routes |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Enhancing Pointer Network for Sentence Ordering with Pairwise Ordering Predictions |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Ensembles of Locally Independent Prediction Models |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Entrainment2Vec: Embedding Entrainment for Multi-Party Dialogues |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Enumerating Maximalk-Plexes with Worst-Case Time Guarantee |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Envelope-Based Approaches to Real-Time Heuristic Search |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Epistemic Integrity Constraints for Ontology-Based Data Management |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Error-Correcting and Verifiable Parallel Inference in Graphical Models |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Estimating Causal Effects Using Weighting-Based Estimators |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Estimating Early Fundraising Performance of Innovations via Graph-Based Market Environment Model |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Estimating Stochastic Linear Combination of Non-Linear Regressions |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
3 |
| Estimating the Density of States of Boolean Satisfiability Problems on Classical and Quantum Computing Platforms |
❌ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
2 |
| Evaluating Commonsense in Pre-Trained Language Models |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Evaluating the Cross-Lingual Effectiveness of Massively Multilingual Neural Machine Translation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Event-Driven Continuous Time Bayesian Networks |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| Every Frame Counts: Joint Learning of Video Segmentation and Optical Flow |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Exact and Efficient Inference for Collective Flow Diffusion Model via Minimum Convex Cost Flow Algorithm |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Exchangeable Generative Models with Flow Scans |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Expectation-Aware Planning: A Unifying Framework for Synthesizing and Executing Self-Explaining Plans for Human-Aware Planning |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Experimental Design for Optimization of Orthogonal Projection Pursuit Models |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Explainable Data Decompositions |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Explainable Reinforcement Learning through a Causal Lens |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Explaining Propagators for String Edit Distance Constraints |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Explanation vs Attention: A Two-Player Game to Obtain Attention for VQA |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Explanations for Inconsistency-Tolerant Query Answering under Existential Rules |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Explicit Sentence Compression for Neural Machine Translation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Exploit and Replace: An Asymmetrical Two-Stream Architecture for Versatile Light Field Saliency Detection |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Exploiting Cross-Lingual Subword Similarities in Low-Resource Document Classification |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Exploiting Motion Information from Unlabeled Videos for Static Image Action Recognition |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Exploiting Spatial Invariance for Scalable Unsupervised Object Tracking |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Exploratory Combinatorial Optimization with Reinforcement Learning |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Exponential Family Graph Embeddings |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Expressing Objects Just Like Words: Recurrent Visual Embedding for Image-Text Matching |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| FACT: Fused Attention for Clothing Transfer with Generative Adversarial Networks |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| FAN-Face: a Simple Orthogonal Improvement to Deep Face Recognition |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| FAS-Net: Construct Effective Features Adaptively for Multi-Scale Object Detection |
❌ |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
5 |
| FASTER Recurrent Networks for Efficient Video Classification |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| FD-GAN: Generative Adversarial Networks with Fusion-Discriminator for Single Image Dehazing |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| FDN: Feature Decoupling Network for Head Pose Estimation |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| FET-GAN: Font and Effect Transfer via K-shot Adaptive Instance Normalization |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| FFA-Net: Feature Fusion Attention Network for Single Image Dehazing |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| FISR: Deep Joint Frame Interpolation and Super-Resolution with a Multi-Scale Temporal Loss |
❌ |
✅ |
❌ |
❌ |
✅ |
✅ |
✅ |
4 |
| FLNet: Landmark Driven Fetching and Learning Network for Faithful Talking Facial Animation Synthesis |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| FPETS: Fully Parallel End-to-End Text-to-Speech System |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Facial Action Unit Intensity Estimation via Semantic Correspondence Learning with Dynamic Graph Convolution |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Facial Attribute Capsules for Noise Face Super Resolution |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Facility Location Problem with Capacity Constraints: Algorithmic and Mechanism Design Perspectives |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Fact-Aware Sentence Split and Rephrase with Permutation Invariant Training |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Factorized Inference in Deep Markov Models for Incomplete Multimodal Time Series |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
3 |
| Fair Division Through Information Withholding |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Fair Division of Mixed Divisible and Indivisible Goods |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Fair Procedures for Fair Stable Marriage Outcomes |
✅ |
✅ |
❌ |
❌ |
✅ |
❌ |
✅ |
4 |
| Fairness for Robust Log Loss Classification |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Fairness in Network Representation by Latent Structural Heterogeneity in Observational Data |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Fairness-Aware Demand Prediction for New Mobility |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| FairyTED: A Fair Rating Predictor for TED Talk Data |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Faking Fairness via Stealthily Biased Sampling |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Fast Learning of Temporal Action Proposal via Dense Boundary Generator |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Fast Nonparametric Estimation of Class Proportions in the Positive-Unlabeled Classification Setting |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Fast and Deep Graph Neural Networks |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Fast and Efficient Boolean Matrix Factorization by Geometric Segmentation |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Fast and Robust Face-to-Parameter Translation for Game Character Auto-Creation |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| FastLAS: Scalable Inductive Logic Programming Incorporating Domain-Specific Optimisation Criteria |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
7 |
| Fastened CROWN: Tightened Neural Network Robustness Certificates |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Fatigue-Aware Bandits for Dependent Click Models |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Favorite-Candidate Voting for Eliminating the Least Popular Candidate in a Metric Space |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Feature Deformation Meta-Networks in Image Captioning of Novel Objects |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Feature Variance Regularization: A Simple Way to Improve the Generalizability of Neural Networks |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Federated Latent Dirichlet Allocation: A Local Differential Privacy Based Framework |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Federated Learning for Vision-and-Language Grounding Problems |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Federated Patient Hashing |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Few Shot Network Compression via Cross Distillation |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Few-Shot Bayesian Imitation Learning with Logical Program Policies |
✅ |
❌ |
❌ |
✅ |
✅ |
❌ |
✅ |
4 |
| Few-Shot Knowledge Graph Completion |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Filling Conversation Ellipsis for Better Social Dialog Understanding |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Filtration and Distillation: Enhancing Region Attention for Fine-Grained Visual Categorization |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Find Objects and Focus on Highlights: Mining Object Semantics for Video Highlight Detection via Graph Neural Networks |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
✅ |
4 |
| Finding Action Tubes with a Sparse-to-Dense Framework |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Finding Good Subtrees for Constraint Optimization Problems Using Frequent Pattern Mining |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Finding Minimum-Weight Link-Disjoint Paths with a Few Common Nodes |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Finding Most Compatible Phylogenetic Trees over Multi-State Characters |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Finding Needles in a Moving Haystack: Prioritizing Alerts with Adversarial Reinforcement Learning |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
3 |
| Fine-Grained Argument Unit Recognition and Classification |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Fine-Grained Entity Typing for Domain Independent Entity Linking |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Fine-Grained Fashion Similarity Learning by Attribute-Specific Embedding Network |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Fine-Grained Machine Teaching with Attention Modeling |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Fine-Grained Named Entity Typing over Distantly Supervised Data Based on Refined Representations |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Fine-Grained Recognition: Accounting for Subtle Differences between Similar Classes |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Fine-Tuning by Curriculum Learning for Non-Autoregressive Neural Machine Translation |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Fixed-Horizon Temporal Difference Methods for Stable Reinforcement Learning |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| FlowScope: Spotting Money Laundering Based on Graphs |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Forgetting an Argument |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Forgetting to Learn Logic Programs |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| FourierSAT: A Fourier Expansion-Based Algebraic Framework for Solving Hybrid Boolean Constraints |
✅ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Fragmentation Coagulation Based Mixed Membership Stochastic Blockmodel |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Frame-Guided Region-Aligned Representation for Video Person Re-Identification |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| From Few to More: Large-Scale Dynamic Multiagent Curriculum Learning |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Fully Convolutional Network for Consistent Voxel-Wise Correspondence |
❌ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
2 |
| Functionality Discovery and Prediction of Physical Objects |
✅ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
3 |
| Further Understanding Videos through Adverbs: A New Video Task |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| FusionDN: A Unified Densely Connected Network for Image Fusion |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| FuzzE: Fuzzy Fairness Evaluation of Offensive Language Classifiers on African-American English |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| F³Net: Fusion, Feedback and Focus for Salient Object Detection |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| GAN-Based Unpaired Chinese Character Image Translation via Skeleton Transformation and Stroke Rendering |
❌ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
2 |
| GDFace: Gated Deformation for Multi-View Face Image Synthesis |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| GMAN: A Graph Multi-Attention Network for Traffic Prediction |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| GRET: Global Representation Enhanced Transformer |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| GSSNN: Graph Smoothing Splines Neural Networks |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| GTC: Guided Training of CTC towards Efficient and Accurate Scene Text Recognition |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| GTNet: Generative Transfer Network for Zero-Shot Object Detection |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| GaSPing for Utility |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Gait Recognition for Co-Existing Multiple People Using Millimeter Wave Sensing |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Gamma-Nets: Generalizing Value Estimation over Timescale |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Gated Convolutional Networks with Hybrid Connectivity for Image Classification |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Gated Fully Fusion for Semantic Segmentation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| General Partial Label Learning via Dual Bipartite Graph Autoencoder |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| General Transportability – Synthesizing Observations and Experiments from Heterogeneous Domains |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Generalizable Resource Allocation in Stream Processing via Deep Reinforcement Learning |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Generalization Error Bounds of Gradient Descent for Learning Over-Parameterized Deep ReLU Networks |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Generalize Sentence Representation with Self-Inference |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Generalized Hidden Parameter MDPs:Transferable Model-Based RL in a Handful of Trials |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Generalized Planning with Positive and Negative Examples |
❌ |
✅ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| Generalized and Sub-Optimal Bipartite Constraints for Conflict-Based Search |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Generate (Non-Software) Bugs to Fool Classifiers |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
3 |
| Generate, Segment, and Refine: Towards Generic Manipulation Segmentation |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Generating Adversarial Examples for Holding Robustness of Source Code Processing Models |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Generating Diverse Translation by Manipulating Multi-Head Attention |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Generating Interactive Worlds with Text |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| Generating Persona Consistent Dialogues by Exploiting Natural Language Inference |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Generating Realistic Stock Market Order Streams |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Generating Well-Formed Answers by Machine Reading with Stochastic Selector Networks |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Generative Adversarial Networks for Video-to-Video Domain Adaptation |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Generative Adversarial Regularized Mutual Information Policy Gradient Framework for Automatic Diagnosis |
✅ |
❌ |
✅ |
❌ |
❌ |
✅ |
✅ |
4 |
| Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Generative Attention Networks for Multi-Agent Behavioral Modeling |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Generative Continual Concept Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Generative Exploration and Exploitation |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Generative-Discriminative Complementary Learning |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Geometry Sharing Network for 3D Point Cloud Classification and Segmentation |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Geometry-Constrained Car Recognition Using a 3D Perspective Network |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Geometry-Driven Self-Supervised Method for 3D Human Pose Estimation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Getting Closer to AI Complete Question Answering: A Set of Prerequisite Real Tasks |
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| Global Context-Aware Progressive Aggregation Network for Salient Object Detection |
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| Global Greedy Dependency Parsing |
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| GlobalTrack: A Simple and Strong Baseline for Long-Term Tracking |
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| Go From the General to the Particular: Multi-Domain Translation with Domain Transformation Networks |
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| Going Deep: Graph Convolutional Ladder-Shape Networks |
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| Google Research Football: A Novel Reinforcement Learning Environment |
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| GraLSP: Graph Neural Networks with Local Structural Patterns |
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| Gradient Boosts the Approximate Vanishing Ideal |
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| Gradient Method for Continuous Influence Maximization with Budget-Saving Considerations |
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| Gradient-Aware Model-Based Policy Search |
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3 |
| Gradient-Based Optimization for Bayesian Preference Elicitation |
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4 |
| Graduate Employment Prediction with Bias |
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1 |
| Grammar Filtering for Syntax-Guided Synthesis |
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3 |
| Graph Attention Based Proposal 3D ConvNets for Action Detection |
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| Graph Convolutional Networks with Markov Random Field Reasoning for Social Spammer Detection |
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4 |
| Graph Few-Shot Learning via Knowledge Transfer |
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4 |
| Graph LSTM with Context-Gated Mechanism for Spoken Language Understanding |
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4 |
| Graph Representation Learning via Ladder Gamma Variational Autoencoders |
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| Graph Representations for Higher-Order Logic and Theorem Proving |
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| Graph Transformer for Graph-to-Sequence Learning |
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| Graph-Based Decoding Model for Functional Alignment of Unaligned fMRI Data |
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| Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering |
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| Graph-Based Transformer with Cross-Candidate Verification for Semantic Parsing |
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3 |
| Graph-Driven Generative Models for Heterogeneous Multi-Task Learning |
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| Graph-Hist: Graph Classification from Latent Feature Histograms with Application to Bot Detection |
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| Graph-Propagation Based Correlation Learning for Weakly Supervised Fine-Grained Image Classification |
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| GraphER: Token-Centric Entity Resolution with Graph Convolutional Neural Networks |
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| Grapy-ML: Graph Pyramid Mutual Learning for Cross-Dataset Human Parsing |
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5 |
| Gromov-Wasserstein Factorization Models for Graph Clustering |
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5 |
| Group-Wise Dynamic Dropout Based on Latent Semantic Variations |
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4 |
| Guided Weak Supervision for Action Recognition with Scarce Data to Assess Skills of Children with Autism |
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4 |
| Guiding Attention in Sequence-to-Sequence Models for Dialogue Act Prediction |
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4 |
| Guiding CDCL SAT Search via Random Exploration amid Conflict Depression |
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6 |
| HAL: Improved Text-Image Matching by Mitigating Visual Semantic Hubs |
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5 |
| HAMNER: Headword Amplified Multi-Span Distantly Supervised Method for Domain Specific Named Entity Recognition |
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5 |
| HDDL: An Extension to PDDL for Expressing Hierarchical Planning Problems |
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| HDK: Toward High-Performance Deep-Learning-Based Kirchhoff Analysis |
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5 |
| HLHLp: Quantized Neural Networks Training for Reaching Flat Minima in Loss Surface |
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| HS-CAI: A Hybrid DCOP Algorithm via Combining Search with Context-Based Inference |
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3 |
| Hard Examples for Common Variable Decision Heuristics |
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| Harmonious Coexistence of Structured Weight Pruning and Ternarization for Deep Neural Networks |
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| Harnessing GANs for Zero-Shot Learning of New Classes in Visual Speech Recognition |
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3 |
| Hashing Based Answer Selection |
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4 |
| Hearing Lips: Improving Lip Reading by Distilling Speech Recognizers |
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| Heterogeneous Transfer Learning with Weighted Instance-Correspondence Data |
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4 |
| Heuristic Black-Box Adversarial Attacks on Video Recognition Models |
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4 |
| Hidden Trigger Backdoor Attacks |
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5 |
| Hide-and-Tell: Learning to Bridge Photo Streams for Visual Storytelling |
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3 |
| Hiding in Multilayer Networks |
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| Hierarchical Attention Network with Pairwise Loss for Chinese Zero Pronoun Resolution |
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2 |
| Hierarchical Contextualized Representation for Named Entity Recognition |
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4 |
| Hierarchical Knowledge Squeezed Adversarial Network Compression |
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4 |
| Hierarchical Modes Exploring in Generative Adversarial Networks |
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| Hierarchical Online Instance Matching for Person Search |
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4 |
| Hierarchical Reinforcement Learning for Open-Domain Dialog |
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3 |
| Hierarchically Clustered Representation Learning |
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4 |
| High Performance Depthwise and Pointwise Convolutions on Mobile Devices |
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| High Tissue Contrast MRI Synthesis Using Multi-Stage Attention-GAN for Segmentation |
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4 |
| High-Order Residual Network for Light Field Super-Resolution |
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4 |
| Hindi-English Hate Speech Detection: Author Profiling, Debiasing, and Practical Perspectives |
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| HirePeer: Impartial Peer-Assessed Hiring at Scale in Expert Crowdsourcing Markets |
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| History-Adaption Knowledge Incorporation Mechanism for Multi-Turn Dialogue System |
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3 |
| HoMM: Higher-Order Moment Matching for Unsupervised Domain Adaptation |
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3 |
| How Should an Agent Practice? |
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| How the Duration of the Learning Period Affects the Performance of Random Gradient Selection Hyper-Heuristics |
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3 |
| How to Ask Better Questions? A Large-Scale Multi-Domain Dataset for Rewriting Ill-Formed Questions |
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4 |
| Human Synthesis and Scene Compositing |
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| Human-Machine Collaboration for Fast Land Cover Mapping |
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2 |
| Hybrid Compositional Reasoning for Reactive Synthesis from Finite-Horizon Specifications |
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4 |
| Hybrid Graph Neural Networks for Crowd Counting |
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3 |
| Hyperbolic Interaction Model for Hierarchical Multi-Label Classification |
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3 |
| Hypergraph Label Propagation Network |
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| Hypernym Detection Using Strict Partial Order Networks |
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3 |
| Hypothetical Answers to Continuous Queries over Data Streams |
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| ICD Coding from Clinical Text Using Multi-Filter Residual Convolutional Neural Network |
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6 |
| IPO: Interior-Point Policy Optimization under Constraints |
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| IVFS: Simple and Efficient Feature Selection for High Dimensional Topology Preservation |
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3 |
| IWE-Net: Instance Weight Network for Locating Negative Comments and its application to improve Traffic User Experience |
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| Identifying Model Weakness with Adversarial Examiner |
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| Idle Time Optimization for Target Assignment and Path Finding in Sortation Centers |
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| Image Cropping with Composition and Saliency Aware Aesthetic Score Map |
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3 |
| Image Enhanced Event Detection in News Articles |
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| Image Formation Model Guided Deep Image Super-Resolution |
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5 |
| Image-Adaptive GAN Based Reconstruction |
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3 |
| Implicit Coordination Using FOND Planning |
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1 |
| Importance-Aware Learning for Neural Headline Editing |
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2 |
| Importance-Aware Semantic Segmentation in Self-Driving with Discrete Wasserstein Training |
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2 |
| Improved Algorithms for Conservative Exploration in Bandits |
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3 |
| Improved Filtering for the Euclidean Traveling Salesperson Problem in CLP(FD) |
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5 |
| Improved Knowledge Distillation via Teacher Assistant |
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3 |
| Improved PAC-Bayesian Bounds for Linear Regression |
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| Improved Subsampled Randomized Hadamard Transform for Linear SVM |
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5 |
| Improved Visual-Semantic Alignment for Zero-Shot Object Detection |
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4 |
| Improving Context-Aware Neural Machine Translation Using Self-Attentive Sentence Embedding |
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3 |
| Improving Domain-Adapted Sentiment Classification by Deep Adversarial Mutual Learning |
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4 |
| Improving Entity Linking by Modeling Latent Entity Type Information |
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4 |
| Improving Knowledge-Aware Dialogue Generation via Knowledge Base Question Answering |
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4 |
| Improving Neural Relation Extraction with Positive and Unlabeled Learning |
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3 |
| Improving Policies via Search in Cooperative Partially Observable Games |
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4 |
| Improving Question Generation with Sentence-Level Semantic Matching and Answer Position Inferring |
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3 |
| Improving the Robustness of Wasserstein Embedding by Adversarial PAC-Bayesian Learning |
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4 |
| Incentive-Compatible Classification |
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| Incentivized Exploration for Multi-Armed Bandits under Reward Drift |
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2 |
| Incorporating Expert-Based Investment Opinion Signals in Stock Prediction: A Deep Learning Framework |
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3 |
| Incorporating Label Embedding and Feature Augmentation for Multi-Dimensional Classification |
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5 |
| Incremental Fairness in Two-Sided Market Platforms: On Smoothly Updating Recommendations |
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2 |
| Incremental Multi-Domain Learning with Network Latent Tensor Factorization |
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3 |
| Incremental Symmetry Breaking Constraints for Graph Search Problems |
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5 |
| Independence Promoted Graph Disentangled Networks |
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4 |
| Index Tracking with Cardinality Constraints: A Stochastic Neural Networks Approach |
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1 |
| Indirect Stochastic Gradient Quantization and Its Application in Distributed Deep Learning |
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4 |
| Individual-Based Stability in Hedonic Diversity Games |
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2 |
| Inducing Relational Knowledge from BERT |
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1 |
| Induction of Subgoal Automata for Reinforcement Learning |
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4 |
| Inefficiency of K-FAC for Large Batch Size Training |
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2 |
| Inferring Nighttime Satellite Imagery from Human Mobility |
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1 |
| Infinite ShapeOdds: Nonparametric Bayesian Models for Shape Representations |
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3 |
| Infinity Learning: Learning Markov Chains from Aggregate Steady-State Observations |
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1 |
| Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip |
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5 |
| Information Elicitation Mechanisms for Statistical Estimation |
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1 |
| Information Shaping for Enhanced Goal Recognition of Partially-Informed Agents |
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3 |
| Information-Theoretic Understanding of Population Risk Improvement with Model Compression |
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3 |
| Infrared-Visible Cross-Modal Person Re-Identification with an X Modality |
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4 |
| Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks |
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2 |
| InstaNAS: Instance-Aware Neural Architecture Search |
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3 |
| Instance Enhancement Batch Normalization: An Adaptive Regulator of Batch Noise |
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5 |
| Instance-Adaptive Graph for EEG Emotion Recognition |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Instance-Wise Dynamic Sensor Selection for Human Activity Recognition |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Integrating Deep Learning with Logic Fusion for Information Extraction |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Integrating Linguistic Knowledge to Sentence Paraphrase Generation |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Integrating Overlapping Datasets Using Bivariate Causal Discovery |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Integrating Relation Constraints with Neural Relation Extractors |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Intention Nets: Psychology-Inspired User Choice Behavior Modeling for Next-Basket Prediction |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| InteractE: Improving Convolution-Based Knowledge Graph Embeddings by Increasing Feature Interactions |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Interactive Dual Generative Adversarial Networks for Image Captioning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Interactive Fiction Games: A Colossal Adventure |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
3 |
| Interactive Learning with Proactive Cognition Enhancement for Crowd Workers |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Interactive Rare-Category-of-Interest Mining from Large Datasets |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Interpretable Rumor Detection in Microblogs by Attending to User Interactions |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Interpretable and Differentially Private Predictions |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| IntroVNMT: An Introspective Model for Variational Neural Machine Translation |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Introducing Probabilistic Bézier Curves for N-Step Sequence Prediction |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| InvNet: Encoding Geometric and Statistical Invariances in Deep Generative Models |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
❌ |
5 |
| Invariant Representations through Adversarial Forgetting |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Iterative Delegations in Liquid Democracy with Restricted Preferences |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Iteratively Questioning and Answering for Interpretable Legal Judgment Prediction |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| JEC-QA: A Legal-Domain Question Answering Dataset |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| JSI-GAN: GAN-Based Joint Super-Resolution and Inverse Tone-Mapping with Pixel-Wise Task-Specific Filters for UHD HDR Video |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| JSNet: Joint Instance and Semantic Segmentation of 3D Point Clouds |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Joint Adversarial Learning for Domain Adaptation in Semantic Segmentation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Joint Character-Level Word Embedding and Adversarial Stability Training to Defend Adversarial Text |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Joint Commonsense and Relation Reasoning for Image and Video Captioning |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Joint Entity and Relation Extraction with a Hybrid Transformer and Reinforcement Learning Based Model |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Joint Learning of Answer Selection and Answer Summary Generation in Community Question Answering |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Joint Parsing and Generation for Abstractive Summarization |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Joint Super-Resolution and Alignment of Tiny Faces |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Just Add Functions: A Neural-Symbolic Language Model |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Just Ask: An Interactive Learning Framework for Vision and Language Navigation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| Justification-Based Reliability in Machine Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Justifying All Differences Using Pseudo-Boolean Reasoning |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| K-BERT: Enabling Language Representation with Knowledge Graph |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| KPNet: Towards Minimal Face Detector |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Keywords-Guided Abstractive Sentence Summarization |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Kinematic-Structure-Preserved Representation for Unsupervised 3D Human Pose Estimation |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| KnowIT VQA: Answering Knowledge-Based Questions about Videos |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Knowing What, How and Why: A Near Complete Solution for Aspect-Based Sentiment Analysis |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Knowledge Distillation from Internal Representations |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Knowledge Graph Alignment Network with Gated Multi-Hop Neighborhood Aggregation |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Knowledge Graph Grounded Goal Planning for Open-Domain Conversation Generation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Knowledge Graph Transfer Network for Few-Shot Recognition |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Knowledge Integration Networks for Action Recognition |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Knowledge and Cross-Pair Pattern Guided Semantic Matching for Question Answering |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Knowledge-Enriched Visual Storytelling |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Knowledge-Graph Augmented Word Representations for Named Entity Recognition |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Kriging Convolutional Networks |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| LATTE: Latent Type Modeling for Biomedical Entity Linking |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| LCD: Learned Cross-Domain Descriptors for 2D-3D Matching |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| LMLFM: Longitudinal Multi-Level Factorization Machine |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| LS-Tree: Model Interpretation When the Data Are Linguistic |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| LTLƒ Synthesis with Fairness and Stability Assumptions |
❌ |
❌ |
❌ |
❌ |
✅ |
✅ |
✅ |
3 |
| Label Enhancement with Sample Correlations via Low-Rank Representation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Label Error Correction and Generation through Label Relationships |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Ladder Loss for Coherent Visual-Semantic Embedding |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Large-Scale Multi-View Subspace Clustering in Linear Time |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| Latent Emotion Memory for Multi-Label Emotion Classification |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Latent Opinions Transfer Network for Target-Oriented Opinion Words Extraction |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Latent Relation Language Models |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Latent-Variable Non-Autoregressive Neural Machine Translation with Deterministic Inference Using a Delta Posterior |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Layerwise Sparse Coding for Pruned Deep Neural Networks with Extreme Compression Ratio |
❌ |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
1 |
| LeDeepChef Deep Reinforcement Learning Agent for Families of Text-Based Games |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Learned Video Compression via Joint Spatial-Temporal Correlation Exploration |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Learning 2D Temporal Adjacent Networks for Moment Localization with Natural Language |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Learning Agent Communication under Limited Bandwidth by Message Pruning |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Learning Attentive Pairwise Interaction for Fine-Grained Classification |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Learning Conceptual-Contextual Embeddings for Medical Text |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Learning Counterfactual Representations for Estimating Individual Dose-Response Curves |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Learning Cross-Aligned Latent Embeddings for Zero-Shot Cross-Modal Retrieval |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Learning Cross-Modal Context Graph for Visual Grounding |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Learning Deep Relations to Promote Saliency Detection |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent Transitions |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
4 |
| Learning Efficient Representations for Fake Speech Detection |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Learning End-to-End Scene Flow by Distilling Single Tasks Knowledge |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Learning Fair Naive Bayes Classifiers by Discovering and Eliminating Discrimination Patterns |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Learning Feature Interactions with Lorentzian Factorization Machine |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Learning General Latent-Variable Graphical Models with Predictive Belief Propagation |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Learning Geo-Contextual Embeddings for Commuting Flow Prediction |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Learning Graph Convolutional Network for Skeleton-Based Human Action Recognition by Neural Searching |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Learning Inverse Depth Regression for Multi-View Stereo with Correlation Cost Volume |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Learning Light Field Angular Super-Resolution via a Geometry-Aware Network |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Learning Long- and Short-Term User Literal-Preference with Multimodal Hierarchical Transformer Network for Personalized Image Caption |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Learning MAX-SAT from Contextual Examples for Combinatorial Optimisation |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Learning Meta Model for Zero- and Few-Shot Face Anti-Spoofing |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Learning Multi-Level Dependencies for Robust Word Recognition |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Learning Multi-Modal Biomarker Representations via Globally Aligned Longitudinal Enrichments |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Learning Optimal Decision Trees Using Caching Branch-and-Bound Search |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| Learning Part Generation and Assembly for Structure-Aware Shape Synthesis |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Learning Query Inseparable εℒℋ Ontologies |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Learning Relationships between Text, Audio, and Video via Deep Canonical Correlation for Multimodal Language Analysis |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Learning Saliency-Free Model with Generic Features for Weakly-Supervised Semantic Segmentation |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Learning Signed Network Embedding via Graph Attention |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Learning Sparse Sharing Architectures for Multiple Tasks |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Learning Student Networks with Few Data |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Learning Transferable Adversarial Examples via Ghost Networks |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Learning Triple Embeddings from Knowledge Graphs |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Learning Weighted Model Integration Distributions |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Learning and Reasoning for Robot Sequential Decision Making under Uncertainty |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Learning from Easy to Complex: Adaptive Multi-Curricula Learning for Neural Dialogue Generation |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Learning from Interventions Using Hierarchical Policies for Safe Learning |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Learning from Positive and Unlabeled Data without Explicit Estimation of Class Prior |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Learning from Weak-Label Data: A Deep Forest Expedition |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Learning from the Past: Continual Meta-Learning with Bayesian Graph Neural Networks |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Learning the Graphical Structure of Electronic Health Records with Graph Convolutional Transformer |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Learning the Value of Teamwork to Form Efficient Teams |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Learning to Auto Weight: Entirely Data-Driven and Highly Efficient Weighting Framework |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Learning to Communicate Implicitly by Actions |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Learning to Compare for Better Training and Evaluation of Open Domain Natural Language Generation Models |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Learning to Crawl |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Learning to Deblur Face Images via Sketch Synthesis |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Learning to Follow Directions in Street View |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Learning to Generate Maps from Trajectories |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Learning to Incorporate Structure Knowledge for Image Inpainting |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Learning to Interactively Learn and Assist |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Learning to Learn Morphological Inflection for Resource-Poor Languages |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Learning to Map Frequent Phrases to Sub-Structures of Meaning Representation for Neural Semantic Parsing |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Learning to Match on Graph for Fashion Compatibility Modeling |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Learning to Optimize Computational Resources: Frugal Training with Generalization Guarantees |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Learning to Optimize Variational Quantum Circuits to Solve Combinatorial Problems |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Learning to Reason: Leveraging Neural Networks for Approximate DNF Counting |
❌ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
2 |
| Learning to Select Bi-Aspect Information for Document-Scale Text Content Manipulation |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Learning to Transfer: Unsupervised Domain Translation via Meta-Learning |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Learning with Unsure Responses |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Learning-Based Efficient Graph Similarity Computation via Multi-Scale Convolutional Set Matching |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| Least General Generalizations in Description Logic: Verification and Existence |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Less Is Better: Unweighted Data Subsampling via Influence Function |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
4 |
| Leveraging Multi-Token Entities in Document-Level Named Entity Recognition |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| Leveraging Multi-View Image Sets for Unsupervised Intrinsic Image Decomposition and Highlight Separation |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Leveraging Title-Abstract Attentive Semantics for Paper Recommendation |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Lexical Simplification with Pretrained Encoders |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
3 |
| Lifelong Learning with a Changing Action Set |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Lifelong Spectral Clustering |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Lifted Fact-Alternating Mutex Groups and Pruned Grounding of Classical Planning Problems |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Lifting Preferences over Alternatives to Preferences over Sets of Alternatives: The Complexity of Recognizing Desirable Families of Sets |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Light Multi-Segment Activation for Model Compression |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Lightweight and Robust Representation of Economic Scales from Satellite Imagery |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Likelihood Ratios and Generative Classifiers for Unsupervised Out-of-Domain Detection in Task Oriented Dialog |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
5 |
| Limitations of Incentive Compatibility on Discrete Type Spaces |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Linear Bandits with Feature Feedback |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Linear Context Transform Block |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Linguistic Fingerprints of Internet Censorship: The Case of Sina Weibo |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Local Regularizer Improves Generalization |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Local Search with Dynamic-Threshold Configuration Checking and Incremental Neighborhood Updating for Maximum k-plex Problem |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Localize, Assemble, and Predicate: Contextual Object Proposal Embedding for Visual Relation Detection |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Location-Aware Graph Convolutional Networks for Video Question Answering |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Logics for Sizes with Union or Intersection |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Logo-2K+: A Large-Scale Logo Dataset for Scalable Logo Classification |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Long Short-Term Sample Distillation |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Long-Term Loop Closure Detection through Visual-Spatial Information Preserving Multi-Order Graph Matching |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Look One and More: Distilling Hybrid Order Relational Knowledge for Cross-Resolution Image Recognition |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Loss-Based Attention for Deep Multiple Instance Learning |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Low Resource Sequence Tagging with Weak Labels |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Low-Variance Black-Box Gradient Estimates for the Plackett-Luce Distribution |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| M-NAS: Meta Neural Architecture Search |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| M3ER: Multiplicative Multimodal Emotion Recognition using Facial, Textual, and Speech Cues |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| MA-DST: Multi-Attention-Based Scalable Dialog State Tracking |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| MALA: Cross-Domain Dialogue Generation with Action Learning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| MIMAMO Net: Integrating Micro- and Macro-Motion for Video Emotion Recognition |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| ML-LOO: Detecting Adversarial Examples with Feature Attribution |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| MMM: Multi-Stage Multi-Task Learning for Multi-Choice Reading Comprehension |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| MOSS: End-to-End Dialog System Framework with Modular Supervision |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| MRI Reconstruction with Interpretable Pixel-Wise Operations Using Reinforcement Learning |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| MTSS: Learn from Multiple Domain Teachers and Become a Multi-Domain Dialogue Expert |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| MULE: Multimodal Universal Language Embedding |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Machine Number Sense: A Dataset of Visual Arithmetic Problems for Abstract and Relational Reasoning |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Making Existing Clusterings Fairer: Algorithms, Complexity Results and Insights |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Manipulating Districts to Win Elections: Fine-Grained Complexity |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| ManyModalQA: Modality Disambiguation and QA over Diverse Inputs |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| MarioNETte: Few-Shot Face Reenactment Preserving Identity of Unseen Targets |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Mask & Focus: Conversation Modelling by Learning Concepts |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| MaskGEC: Improving Neural Grammatical Error Correction via Dynamic Masking |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Masking Orchestration: Multi-Task Pretraining for Multi-Role Dialogue Representation Learning |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Mastering Complex Control in MOBA Games with Deep Reinforcement Learning |
❌ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
2 |
| Maximizing Overall Diversity for Improved Uncertainty Estimates in Deep Ensembles |
✅ |
❌ |
❌ |
✅ |
✅ |
✅ |
✅ |
5 |
| Maximum Likelihood Embedding of Logistic Random Dot Product Graphs |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Maximum Margin Multi-Dimensional Classification |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Measuring and Relieving the Over-Smoothing Problem for Graph Neural Networks from the Topological View |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Mechanism Design with Predicted Task Revenue for Bike Sharing Systems |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Mega-Reward: Achieving Human-Level Play without Extrinsic Rewards |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| MemCap: Memorizing Style Knowledge for Image Captioning |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Memory Augmented Graph Neural Networks for Sequential Recommendation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Merging Weak and Active Supervision for Semantic Parsing |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Message Passing Attention Networks for Document Understanding |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Meta-Amortized Variational Inference and Learning |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Meta-CoTGAN: A Meta Cooperative Training Paradigm for Improving Adversarial Text Generation |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Meta-Learning PAC-Bayes Priors in Model Averaging |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Meta-Learning for Generalized Zero-Shot Learning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| MetaLight: Value-Based Meta-Reinforcement Learning for Traffic Signal Control |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| MetaMT, a Meta Learning Method Leveraging Multiple Domain Data for Low Resource Machine Translation |
✅ |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
5 |
| Metareasoning in Modular Software Systems: On-the-Fly Configuration Using Reinforcement Learning with Rich Contextual Representations |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Midas: Microcluster-Based Detector of Anomalies in Edge Streams |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Minimizing the Bag-of-Ngrams Difference for Non-Autoregressive Neural Machine Translation |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Mining Unfollow Behavior in Large-Scale Online Social Networks via Spatial-Temporal Interaction |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Mining on Heterogeneous Manifolds for Zero-Shot Cross-Modal Image Retrieval |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Mis-Classified Vector Guided Softmax Loss for Face Recognition |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| MixPoet: Diverse Poetry Generation via Learning Controllable Mixed Latent Space |
✅ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
3 |
| MixedAD: A Scalable Algorithm for Detecting Mixed Anomalies in Attributed Graphs |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Modality to Modality Translation: An Adversarial Representation Learning and Graph Fusion Network for Multimodal Fusion |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Modality-Balanced Models for Visual Dialogue |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Model Checking Temporal Epistemic Logic under Bounded Recall |
✅ |
✅ |
❌ |
❌ |
✅ |
✅ |
✅ |
5 |
| Model Watermarking for Image Processing Networks |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Model and Reinforcement Learning for Markov Games with Risk Preferences |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Model-Based Diagnosis with Uncertain Observations |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Modeling Dialogues with Hashcode Representations: A Nonparametric Approach |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Modeling Electrical Motor Dynamics Using Encoder-Decoder with Recurrent Skip Connection |
❌ |
❌ |
❌ |
✅ |
✅ |
❌ |
✅ |
3 |
| Modeling Fluency and Faithfulness for Diverse Neural Machine Translation |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Modeling Probabilistic Commitments for Maintenance Is Inherently Harder than for Achievement |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Modelling Diversity of Solutions |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Modelling Form-Meaning Systematicity with Linguistic and Visual Features |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Modelling Semantic Categories Using Conceptual Neighborhood |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| Modelling Sentence Pairs via Reinforcement Learning: An Actor-Critic Approach to Learn the Irrelevant Words |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Modelling and Solving Online Optimisation Problems |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| Modular Robot Design Synthesis with Deep Reinforcement Learning |
✅ |
✅ |
❌ |
❌ |
✅ |
❌ |
✅ |
4 |
| Monocular 3D Object Detection with Decoupled Structured Polygon Estimation and Height-Guided Depth Estimation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Monolingual Transfer Learning via Bilingual Translators for Style-Sensitive Paraphrase Generation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Monte Carlo Tree Search in Continuous Spaces Using Voronoi Optimistic Optimization with Regret Bounds |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Monte-Carlo Tree Search in Continuous Action Spaces with Value Gradients |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| More Accurate Learning of k-DNF Reference Classes |
✅ |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
3 |
| Morphing and Sampling Network for Dense Point Cloud Completion |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Morphism-Based Learning for Structured Data |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Motif-Matching Based Subgraph-Level Attentional Convolutional Network for Graph Classification |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Motion-Attentive Transition for Zero-Shot Video Object Segmentation |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Motion-Based Generator Model: Unsupervised Disentanglement of Appearance, Trackable and Intrackable Motions in Dynamic Patterns |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| MuMod: A Micro-Unit Connection Approach for Hybrid-Order Community Detection |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Multi-Agent Actor-Critic with Hierarchical Graph Attention Network |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Multi-Agent Game Abstraction via Graph Attention Neural Network |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Multi-Channel Reverse Dictionary Model |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Multi-Component Graph Convolutional Collaborative Filtering |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Multi-Feature Discrete Collaborative Filtering for Fast Cold-Start Recommendation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Multi-Fidelity Multi-Objective Bayesian Optimization: An Output Space Entropy Search Approach |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Multi-Instance Multi-Label Action Recognition and Localization Based on Spatio-Temporal Pre-Trimming for Untrimmed Videos |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Multi-Label Causal Feature Selection |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Multi-Label Classification with Label Graph Superimposing |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Multi-Label Patent Categorization with Non-Local Attention-Based Graph Convolutional Network |
❌ |
❌ |
❌ |
✅ |
✅ |
❌ |
✅ |
3 |
| Multi-Level Head-Wise Match and Aggregation in Transformer for Textual Sequence Matching |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Multi-Objective Multi-Agent Planning for Jointly Discovering and Tracking Mobile Objects |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Multi-Point Semantic Representation for Intent Classification |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Multi-Question Learning for Visual Question Answering |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Multi-Range Attentive Bicomponent Graph Convolutional Network for Traffic Forecasting |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Multi-Scale Anomaly Detection on Attributed Networks |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Multi-Scale Self-Attention for Text Classification |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Multi-Source Distilling Domain Adaptation |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Multi-Source Domain Adaptation for Text Classification via DistanceNet-Bandits |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Multi-Source Domain Adaptation for Visual Sentiment Classification |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Multi-Speaker Video Dialog with Frame-Level Temporal Localization |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Multi-Spectral Salient Object Detection by Adversarial Domain Adaptation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Multi-Spectral Vehicle Re-Identification: A Challenge |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labeled Nodes |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Multi-Task Driven Feature Models for Thermal Infrared Tracking |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Multi-Task Learning for Metaphor Detection with Graph Convolutional Neural Networks and Word Sense Disambiguation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Multi-Task Learning with Generative Adversarial Training for Multi-Passage Machine Reading Comprehension |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Multi-Task Self-Supervised Learning for Disfluency Detection |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Multi-Type Resource Allocation with Partial Preferences |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Multi-Type Self-Attention Guided Degraded Saliency Detection |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Multi-View Clustering in Latent Embedding Space |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Multi-View Consistency for Relation Extraction via Mutual Information and Structure Prediction |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Multi-View Multiple Clusterings Using Deep Matrix Factorization |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Multi-View Partial Multi-Label Learning with Graph-Based Disambiguation |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Multi-View Spectral Clustering with Optimal Neighborhood Laplacian Matrix |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Multi-Zone Unit for Recurrent Neural Networks |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| MultiSumm: Towards a Unified Model for Multi-Lingual Abstractive Summarization |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Multiagent Evaluation Mechanisms |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Multimodal Interaction-Aware Trajectory Prediction in Crowded Space |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Multimodal Structure-Consistent Image-to-Image Translation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Multimodal Summarization with Guidance of Multimodal Reference |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Multiple Birds with One Stone: Beating 1/2 for EFX and GMMS via Envy Cycle Elimination |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Multiple Graph Matching and Clustering via Decayed Pairwise Matching Composition |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Multiple Positional Self-Attention Network for Text Classification |
❌ |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
5 |
| Narrative Planning Model Acquisition from Text Summaries and Descriptions |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Natural Image Matting via Guided Contextual Attention |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| NeoNav: Improving the Generalization of Visual Navigation via Generating Next Expected Observations |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Network as Regularization for Training Deep Neural Networks: Framework, Model and Performance |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| Neural Approximate Dynamic Programming for On-Demand Ride-Pooling |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
7 |
| Neural Architecture Search Using Deep Neural Networks and Monte Carlo Tree Search |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Neural Cognitive Diagnosis for Intelligent Education Systems |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Neural Graph Embedding for Neural Architecture Search |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Neural Inheritance Relation Guided One-Shot Layer Assignment Search |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Neural Machine Translation with Byte-Level Subwords |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Neural Machine Translation with Joint Representation |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Neural Question Generation with Answer Pivot |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Neural Semantic Parsing in Low-Resource Settings with Back-Translation and Meta-Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Neural Simile Recognition with Cyclic Multitask Learning and Local Attention |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Neural Snowball for Few-Shot Relation Learning |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Neuron Interaction Based Representation Composition for Neural Machine Translation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| New Efficient Multi-Spike Learning for Fast Processing and Robust Learning |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| New Interpretations of Normalization Methods in Deep Learning |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Nice Invincible Strategy for the Average-Payoff IPD |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Non-Local U-Nets for Biomedical Image Segmentation |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Nonlinear Mixup: Out-Of-Manifold Data Augmentation for Text Classification |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Nonlinear System Identification via Tensor Completion |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Norm-Explicit Quantization: Improving Vector Quantization for Maximum Inner Product Search |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Not All Attention Is Needed: Gated Attention Network for Sequence Data |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Novel Is Not Always Better: On the Relation between Novelty and Dominance Pruning |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| ODIN: ODE-Informed Regression for Parameter and State Inference in Time-Continuous Dynamical Systems |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
3 |
| ODSS: Efficient Hybridization for Optimal Coalition Structure Generation |
✅ |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
2 |
| OF-MSRN: Optical Flow-Auxiliary Multi-Task Regression Network for Direct Quantitative Measurement, Segmentation and Motion Estimation |
❌ |
❌ |
❌ |
✅ |
✅ |
✅ |
✅ |
4 |
| OMuLeT: Online Multi-Lead Time Location Prediction for Hurricane Trajectory Forecasting |
✅ |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
3 |
| OOGAN: Disentangling GAN with One-Hot Sampling and Orthogonal Regularization |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| OVL: One-View Learning for Human Retrieval |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Object Instance Mining for Weakly Supervised Object Detection |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Object-Guided Instance Segmentation for Biological Images |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Object-Oriented Dynamics Learning through Multi-Level Abstraction |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Observe Before Play: Multi-Armed Bandit with Pre-Observations |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Off-Policy Evaluation in Partially Observable Environments |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| On Adaptivity in Information-Constrained Online Learning |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| On Identifying Hashtags in Disaster Twitter Data |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| On Measuring and Mitigating Biased Inferences of Word Embeddings |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| On Performance Estimation in Automatic Algorithm Configuration |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| On Succinct Groundings of HTN Planning Problems |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
❌ |
4 |
| On Swap Convexity of Voting Rules |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| On the Convergence of Model Free Learning in Mean Field Games |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| On the Expressivity of ASK Queries in SPARQL |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| On the Generation of Medical Question-Answer Pairs |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| On the Learning Property of Logistic and Softmax Losses for Deep Neural Networks |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| On the Max-Min Fair Stochastic Allocation of Indivisible Goods |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| On the Parameterized Complexity of Clustering Incomplete Data into Subspaces of Small Rank |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| On the Problem of Covering a 3-D Terrain |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| On the Role of Weight Sharing During Deep Option Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| One Homonym per Translation |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| One-Shot Image Classification by Learning to Restore Prototypes |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| One-Shot Learning for Long-Tail Visual Relation Detection |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Online Active Learning of Reject Option Classifiers |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Online Hashing with Efficient Updating of Binary Codes |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Online Knowledge Distillation with Diverse Peers |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Online Metric Learning for Multi-Label Classification |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Online Planner Selection with Graph Neural Networks and Adaptive Scheduling |
❌ |
✅ |
❌ |
✅ |
❌ |
❌ |
✅ |
3 |
| Online Second Price Auction with Semi-Bandit Feedback under the Non-Stationary Setting |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Open Domain Event Text Generation |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Optical Flow in Deep Visual Tracking |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Optimal Attack against Autoregressive Models by Manipulating the Environment |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Optimal Common Contract with Heterogeneous Agents |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Optimal Feature Transport for Cross-View Image Geo-Localization |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Optimal Margin Distribution Learning in Dynamic Environments |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Optimization of Chance-Constrained Submodular Functions |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Optimizing Discrete Spaces via Expensive Evaluations: A Learning to Search Framework |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Optimizing Nondecomposable Data Dependent Regularizers via Lagrangian Reparameterization Offers Significant Performance and Efficiency Gains |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Optimizing Reachability Sets in Temporal Graphs by Delaying |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Options of Interest: Temporal Abstraction with Interest Functions |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Order Matters: Semantic-Aware Neural Networks for Binary Code Similarity Detection |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| Order-Free Learning Alleviating Exposure Bias in Multi-Label Classification |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| Outlier Detection Ensemble with Embedded Feature Selection |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Overcoming Catastrophic Forgetting by Neuron-Level Plasticity Control |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Overcoming Language Priors in VQA via Decomposed Linguistic Representations |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| P-SIF: Document Embeddings Using Partition Averaging |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-Time Execution on Mobile Devices |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| PEIA: Personality and Emotion Integrated Attentive Model for Music Recommendation on Social Media Platforms |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| PHASEN: A Phase-and-Harmonics-Aware Speech Enhancement Network |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| PI-RCNN: An Efficient Multi-Sensor 3D Object Detector with Point-Based Attentive Cont-Conv Fusion Module |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| PIQA: Reasoning about Physical Commonsense in Natural Language |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| POP ≡ POCL, Right? Complexity Results for Partial Order (Causal Link) Makespan Minimization |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| POST: POlicy-Based Switch Tracking |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| PSENet: Psoriasis Severity Evaluation Network |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| Pairwise Fairness for Ranking and Regression |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Pairwise Learning with Differential Privacy Guarantees |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Parallel AND/OR Search for Marginal MAP |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| ParamE: Regarding Neural Network Parameters as Relation Embeddings for Knowledge Graph Completion |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Parameterised Resource-Bounded ATL |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Parameterized Algorithms for Finding a Collective Set of Items |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Parameterized Complexity of Envy-Free Resource Allocation in Social Networks |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Parameterized Indexed Value Function for Efficient Exploration in Reinforcement Learning |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Parsing as Pretraining |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Part-Level Graph Convolutional Network for Skeleton-Based Action Recognition |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Partial Label Learning with Batch Label Correction |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Partial Multi-Label Learning with Label Distribution |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Partial Multi-Label Learning with Noisy Label Identification |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Particle Filter Recurrent Neural Networks |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Partner Selection for the Emergence of Cooperation in Multi-Agent Systems Using Reinforcement Learning |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Patch Proposal Network for Fast Semantic Segmentation of High-Resolution Images |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Patchy Image Structure Classification Using Multi-Orientation Region Transform |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
✅ |
5 |
| Path Planning Problems with Side Observations—When Colonels Play Hide-and-Seek |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
2 |
| Path Ranking with Attention to Type Hierarchies |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Pay Your Trip for Traffic Congestion: Dynamic Pricing in Traffic-Aware Road Networks |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| PedHunter: Occlusion Robust Pedestrian Detector in Crowded Scenes |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Peeking Behind the Ordinal Curtain: Improving Distortion via Cardinal Queries |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| People Do Not Just Plan,They Plan to Plan |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Perpetual Voting: Fairness in Long-Term Decision Making |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Person Tube Retrieval via Language Description |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Persuading Voters: It’s Easy to Whisper, It’s Hard to Speak Loud |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Pixel-Aware Deep Function-Mixture Network for Spectral Super-Resolution |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Planar Prior Assisted PatchMatch Multi-View Stereo |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Planning and Acting with Non-Deterministic Events: Navigating between Safe States |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
2 |
| Planning with Abstract Learned Models While Learning Transferable Subtasks |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
❌ |
3 |
| Plug-in, Trainable Gate for Streamlining Arbitrary Neural Networks |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Point-Based Methods for Model Checking in Partially Observable Markov Decision Processes |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Point2Node: Correlation Learning of Dynamic-Node for Point Cloud Feature Modeling |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| Pointwise Rotation-Invariant Network with Adaptive Sampling and 3D Spherical Voxel Convolution |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Policy Search by Target Distribution Learning for Continuous Control |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Polynomial Matrix Completion for Missing Data Imputation and Transductive Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Pose-Assisted Multi-Camera Collaboration for Active Object Tracking |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Pose-Guided Multi-Granularity Attention Network for Text-Based Person Search |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Posterior-GAN: Towards Informative and Coherent Response Generation with Posterior Generative Adversarial Network |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Posterior-Guided Neural Architecture Search |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Potential Passenger Flow Prediction: A Novel Study for Urban Transportation Development |
✅ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
3 |
| Practical Federated Gradient Boosting Decision Trees |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Practical Frank–Wolfe Method with Decision Diagrams for Computing Wardrop Equilibrium of Combinatorial Congestion Games |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Predicting AC Optimal Power Flows: Combining Deep Learning and Lagrangian Dual Methods |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Predicting Propositional Satisfiability via End-to-End Learning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Predictive Engagement: An Efficient Metric for Automatic Evaluation of Open-Domain Dialogue Systems |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Predictive Student Modeling in Educational Games with Multi-Task Learning |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| Preserving Ordinal Consensus: Towards Feature Selection for Unlabeled Data |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Preventing Arbitrage from Collusion When Eliciting Probabilities |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Price of Fairness in Budget Division and Probabilistic Social Choice |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Privacy Enhanced Multimodal Neural Representations for Emotion Recognition |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Privacy-Preserving Gaussian Process Regression – A Modular Approach to the Application of Homomorphic Encryption |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Privacy-Preserving Gradient Boosting Decision Trees |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Private Bayesian Persuasion with Sequential Games |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Probabilistic Inference for Predicate Constraint Satisfaction |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Probabilistic Reasoning Across the Causal Hierarchy |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Probing Brain Activation Patterns by Dissociating Semantics and Syntax in Sentences |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Probing Natural Language Inference Models through Semantic Fragments |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| Progressive Bi-C3D Pose Grammar for Human Pose Estimation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Progressive Boundary Refinement Network for Temporal Action Detection |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Progressive Feature Polishing Network for Salient Object Detection |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Projective Quadratic Regression for Online Learning |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Proportional Belief Merging |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Protecting Geolocation Privacy of Photo Collections |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Proximal Distilled Evolutionary Reinforcement Learning |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Proximity Preserving Binary Code Using Signed Graph-Cut |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Pruning from Scratch |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| PsyNet: Self-Supervised Approach to Object Localization Using Point Symmetric Transformation |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Pursuit of Low-Rank Models of Time-Varying Matrices Robust to Sparse and Measurement Noise |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| Pyramid Attention Aggregation Network for Semantic Segmentation of Surgical Instruments |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Pyramid Constrained Self-Attention Network for Fast Video Salient Object Detection |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| QASC: A Dataset for Question Answering via Sentence Composition |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| Quadruply Stochastic Gradient Method for Large Scale Nonlinear Semi-Supervised Ordinal Regression AUC Optimization |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Quantized Compressive Sampling of Stochastic Gradients for Efficient Communication in Distributed Deep Learning |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Query Answering with Guarded Existential Rules under Stable Model Semantics |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
❌ |
4 |
| Query Rewriting for Ontology-Mediated Conditional Answers |
❌ |
❌ |
✅ |
❌ |
✅ |
✅ |
❌ |
3 |
| Query-Driven Multi-Instance Learning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Querying to Find a Safe Policy under Uncertain Safety Constraints in Markov Decision Processes |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Question-Driven Purchasing Propensity Analysis for Recommendation |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| RDSNet: A New Deep Architecture forReciprocal Object Detection and Instance Segmentation |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| REST: Performance Improvement of a Black Box Model via RL-Based Spatial Transformation |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| RIS-GAN: Explore Residual and Illumination with Generative Adversarial Networks for Shadow Removal |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| RL-Duet: Online Music Accompaniment Generation Using Deep Reinforcement Learning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| RTN: Reparameterized Ternary Network |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Radial and Directional Posteriors for Bayesian Deep Learning |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Random Erasing Data Augmentation |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Random Fourier Features via Fast Surrogate Leverage Weighted Sampling |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Random Intersection Graphs and Missing Data |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Rank Aggregation via Heterogeneous Thurstone Preference Models |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Rank3DGAN: Semantic Mesh Generation Using Relative Attributes |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Ranking-Based Semantics for Sets of Attacking Arguments |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Rare Words: A Major Problem for Contextualized Embeddings and How to Fix it by Attentive Mimicking |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Re-Attention for Visual Question Answering |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| ReCO: A Large Scale Chinese Reading Comprehension Dataset on Opinion |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Real-Time Emotion Recognition via Attention Gated Hierarchical Memory Network |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
5 |
| Real-Time Object Tracking via Meta-Learning: Efficient Model Adaptation and One-Shot Channel Pruning |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Real-Time Route Search by Locations |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Real-Time Scene Text Detection with Differentiable Binarization |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Realistic Face Reenactment via Self-Supervised Disentangling of Identity and Pose |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Reasoning on Knowledge Graphs with Debate Dynamics |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Reasoning with Heterogeneous Graph Alignment for Video Question Answering |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Reborn Filters: Pruning Convolutional Neural Networks with Limited Data |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Recognizing Instagram Filtered Images with Feature De-Stylization |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Recovering Causal Structures from Low-Order Conditional Independencies |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Recurrent Nested Model for Sequence Generation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Recursively Binary Modification Model for Nested Named Entity Recognition |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Reduction and Local Search for Weighted Graph Coloring Problem |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| RefNet: A Reference-Aware Network for Background Based Conversation |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Refining HTN Methods via Task Insertion with Preferences |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Refining Tournament Solutions via Margin of Victory |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Region Focus Network for Joint Optic Disc and Cup Segmentation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Region Normalization for Image Inpainting |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Region-Adaptive Dense Network for Efficient Motion Deblurring |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Region-Based Global Reasoning Networks |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Regional Tree Regularization for Interpretability in Deep Neural Networks |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Regression under Human Assistance |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Regret Minimisation in Multi-Armed Bandits Using Bounded Arm Memory |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Regularized Fine-Grained Meta Face Anti-Spoofing |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Regularized Training and Tight Certification for Randomized Smoothed Classifier with Provable Robustness |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Regularized Wasserstein Means for Aligning Distributional Data |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Reinforced Curriculum Learning on Pre-Trained Neural Machine Translation Models |
✅ |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| Reinforcement Learning Based Meta-Path Discovery in Large-Scale Heterogeneous Information Networks |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Reinforcement Learning When All Actions Are Not Always Available |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Reinforcement Learning from Imperfect Demonstrations under Soft Expert Guidance |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Reinforcement Learning of Risk-Constrained Policies in Markov Decision Processes |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Reinforcement Learning with Non-Markovian Rewards |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Reinforcement Learning with Perturbed Rewards |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Reinforcement Mechanism Design: With Applications to Dynamic Pricing in Sponsored Search Auctions |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Reinforcement-Learning Based Portfolio Management with Augmented Asset Movement Prediction States |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Reinforcing Neural Network Stability with Attractor Dynamics |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Reinforcing an Image Caption Generator Using Off-Line Human Feedback |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Relatedness and TBox-Driven Rule Learning in Large Knowledge Bases |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Relation Extraction Exploiting Full Dependency Forests |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Relation Extraction with Convolutional Network over Learnable Syntax-Transport Graph |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Relation Inference among Sensor Time Series in Smart Buildings with Metric Learning |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| Relation Network for Person Re-Identification |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Relation-Aware Pedestrian Attribute Recognition with Graph Convolutional Networks |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Relation-Guided Spatial Attention and Temporal Refinement for Video-Based Person Re-Identification |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Relational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Relational Learning for Joint Head and Human Detection |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Relational Prototypical Network for Weakly Supervised Temporal Action Localization |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Relative Attributing Propagation: Interpreting the Comparative Contributions of Individual Units in Deep Neural Networks |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Release the Power of Online-Training for Robust Visual Tracking |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Relevance-Promoting Language Model for Short-Text Conversation |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Reliability Does Matter: An End-to-End Weakly Supervised Semantic Segmentation Approach |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Reliable Multilabel Classification: Prediction with Partial Abstention |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Reliable and Efficient Anytime Skeleton Learning |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Repeated Multimarket Contact with Private Monitoring: A Belief-Free Approach |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Repetitive Reprediction Deep Decipher for Semi-Supervised Learning |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Replicate, Walk, and Stop on Syntax: An Effective Neural Network Model for Aspect-Level Sentiment Classification |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Representation Learning with Multiple Lipschitz-Constrained Alignments on Partially-Labeled Cross-Domain Data |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Representative Solutions for Bi-Objective Optimisation |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Representing Closed Transformation Paths in Encoded Network Latent Space |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Reshaping Diverse Planning |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Residual Continual Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Residual Neural Processes |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Resilient Logic Programs: Answer Set Programs Challenged by Ontologies |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Rethinking Generalization of Neural Models: A Named Entity Recognition Case Study |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Rethinking Temporal Fusion for Video-Based Person Re-Identification on Semantic and Time Aspect |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Rethinking the Bottom-Up Framework for Query-Based Video Localization |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Rethinking the Image Fusion: A Fast Unified Image Fusion Network based on Proportional Maintenance of Gradient and Intensity |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Revision in Continuous Space: Unsupervised Text Style Transfer without Adversarial Learning |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Revisiting Bilinear Pooling: A Coding Perspective |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Revisiting Graph Based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Revisiting Image Aesthetic Assessment via Self-Supervised Feature Learning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Revisiting Online Quantum State Learning |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Revisiting Probability Distribution Assumptions for Information Theoretic Feature Selection |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Revisiting the Foundations of Abstract Argumentation – Semantics Based on Weak Admissibility and Weak Defense |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| RiskOracle: A Minute-Level Citywide Traffic Accident Forecasting Framework |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| RoadTagger: Robust Road Attribute Inference with Graph Neural Networks |
❌ |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
5 |
| RoboCoDraw: Robotic Avatar Drawing with GAN-Based Style Transfer and Time-Efficient Path Optimization |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| RobuTrans: A Robust Transformer-Based Text-to-Speech Model |
❌ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
2 |
| Robust Adversarial Objects against Deep Learning Models |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Robust Conditional GAN from Uncertainty-Aware Pairwise Comparisons |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Robust Data Programming with Precision-guided Labeling Functions |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Robust Federated Learning via Collaborative Machine Teaching |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Robust Gradient-Based Markov Subsampling |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Robust Low-Rank Discovery of Data-Driven Partial Differential Equations |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
2 |
| Robust Market Equilibria with Uncertain Preferences |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
✅ |
3 |
| Robust Named Entity Recognition with Truecasing Pretraining |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Robust Self-Weighted Multi-View Projection Clustering |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Robust Stochastic Bandit Algorithms under Probabilistic Unbounded Adversarial Attack |
✅ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| Robust Tensor Decomposition via Orientation Invariant Tubal Nuclear Norms |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Robustness Certificates for Sparse Adversarial Attacks by Randomized Ablation |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Rule-Guided Compositional Representation Learning on Knowledge Graphs |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Runtime Analysis of Somatic Contiguous Hypermutation Operators in MOEA/D Framework |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| R²MRF: Defocus Blur Detection via Recurrently Refining Multi-Scale Residual Features |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| SADA: Semantic Adversarial Diagnostic Attacks for Autonomous Applications |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| SG-Net: Syntax-Guided Machine Reading Comprehension |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| SGAP-Net: Semantic-Guided Attentive Prototypes Network for Few-Shot Human-Object Interaction Recognition |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| SK-Net: Deep Learning on Point Cloud via End-to-End Discovery of Spatial Keypoints |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| SM-NAS: Structural-to-Modular Neural Architecture Search for Object Detection |
❌ |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
5 |
| SMIX(λ): Enhancing Centralized Value Functions for Cooperative Multi-Agent Reinforcement Learning |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| SNEQ: Semi-Supervised Attributed Network Embedding with Attention-Based Quantisation |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| SOGNet: Scene Overlap Graph Network for Panoptic Segmentation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| SPARQA: Skeleton-Based Semantic Parsing for Complex Questions over Knowledge Bases |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| SPSTracker: Sub-Peak Suppression of Response Map for Robust Object Tracking |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| SSAH: Semi-Supervised Adversarial Deep Hashing with Self-Paced Hard Sample Generation |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| STEP: Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Safe Linear Stochastic Bandits |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Safe Sample Screening for Robust Support Vector Machine |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| SalSAC: A Video Saliency Prediction Model with Shuffled Attentions and Correlation-Based ConvLSTM |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Sanity Checks for Saliency Metrics |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Scalable Attentive Sentence Pair Modeling via Distilled Sentence Embedding |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Scalable Decision-Theoretic Planning in Open and Typed Multiagent Systems |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Scalable Methods for Computing State Similarity in Deterministic Markov Decision Processes |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Scalable Probabilistic Matrix Factorization with Graph-Based Priors |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Scalable Variational Bayesian Kernel Selection for Sparse Gaussian Process Regression |
❌ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
4 |
| Scalable and Generalizable Social Bot Detection through Data Selection |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Scale-Wise Convolution for Image Restoration |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| ScaleNet – Improve CNNs through Recursively Rescaling Objects |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Schema-Guided Multi-Domain Dialogue State Tracking with Graph Attention Neural Networks |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Segment-Then-Rank: Non-Factoid Question Answering on Instructional Videos |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| Segmenting Medical MRI via Recurrent Decoding Cell |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Select, Answer and Explain: Interpretable Multi-Hop Reading Comprehension over Multiple Documents |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Self-Attention ConvLSTM for Spatiotemporal Prediction |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Self-Attention Enhanced Selective Gate with Entity-Aware Embedding for Distantly Supervised Relation Extraction |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Self-Paced Robust Learning for Leveraging Clean Labels in Noisy Data |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Self-Supervised Learning for Generalizable Out-of-Distribution Detection |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| SemSUM: Semantic Dependency Guided Neural Abstractive Summarization |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Semantic Attachments for HTN Planning |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
❌ |
4 |
| Semantics-Aligned Representation Learning for Person Re-Identification |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Semantics-Aware BERT for Language Understanding |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| Semi-Supervised Learning for Maximizing the Partial AUC |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Semi-Supervised Learning on Meta Structure: Multi-Task Tagging and Parsing in Low-Resource Scenarios |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Semi-Supervised Learning under Class Distribution Mismatch |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Semi-Supervised Multi-Modal Learning with Balanced Spectral Decomposition |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Semi-Supervised Streaming Learning with Emerging New Labels |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Semi-Supervised Text Simplification with Back-Translation and Asymmetric Denoising Autoencoders |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| SensEmBERT: Context-Enhanced Sense Embeddings for Multilingual Word Sense Disambiguation |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Sentence Generation for Entity Description with Content-Plan Attention |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Sentiment Classification in Customer Service Dialogue with Topic-Aware Multi-Task Learning |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Separate in Latent Space: Unsupervised Single Image Layer Separation |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Seq2Sick: Evaluating the Robustness of Sequence-to-Sequence Models with Adversarial Examples |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Sequence Generation with Optimal-Transport-Enhanced Reinforcement Learning |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Sequential Mode Estimation with Oracle Queries |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Sequential Recommendation with Relation-Aware Kernelized Self-Attention |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| SetRank: A Setwise Bayesian Approach for Collaborative Ranking from Implicit Feedback |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Shallow Feature Based Dense Attention Network for Crowd Counting |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Shape-Aware Organ Segmentation by Predicting Signed Distance Maps |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Shape-Oriented Convolution Neural Network for Point Cloud Analysis |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Shapley Q-Value: A Local Reward Approach to Solve Global Reward Games |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Shared Generative Latent Representation Learning for Multi-View Clustering |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Shoreline: Data-Driven Threshold Estimation of Online Reserves of Cryptocurrency Trading Platforms |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Show, Recall, and Tell: Image Captioning with Recall Mechanism |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| SiamFC++: Towards Robust and Accurate Visual Tracking with Target Estimation Guidelines |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Side Information Dependence as a Regularizer for Analyzing Human Brain Conditions across Cognitive Experiments |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Simple Pose: Rethinking and Improving a Bottom-up Approach for Multi-Person Pose Estimation |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Simplify-Then-Translate: Automatic Preprocessing for Black-Box Translation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Simultaneous Learning of Pivots and Representations for Cross-Domain Sentiment Classification |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Simultaneously Linking Entities and Extracting Relations from Biomedical Text without Mention-Level Supervision |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Single Camera Training for Person Re-Identification |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
5 |
| Social Influence Does Matter: User Action Prediction for In-Feed Advertising |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Softmax Dissection: Towards Understanding Intra- and Inter-Class Objective for Embedding Learning |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Solving General Elliptical Mixture Models through an Approximate Wasserstein Manifold |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| Solving Online Threat Screening Games using Constrained Action Space Reinforcement Learning |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Solving Sequential Text Classification as Board-Game Playing |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| Solving Set Cover and Dominating Set via Maximum Satisfiability |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Solving Sum-of-Costs Multi-Agent Pathfinding with Answer-Set Programming |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Span Model for Open Information Extraction on Accurate Corpus |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Span-Based Neural Buffer: Towards Efficient and Effective Utilization of Long-Distance Context for Neural Sequence Models |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Sparsity-Inducing Binarized Neural Networks |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Spatial Classification with Limited Observations Based on Physics-Aware Structural Constraint |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Spatial-Temporal Gaussian Scale Mixture Modeling for Foreground Estimation |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Spatial-Temporal Multi-Cue Network for Continuous Sign Language Recognition |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Spatio-Temporal Attention-Based Neural Network for Credit Card Fraud Detection |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| Spatio-Temporal Deformable Convolution for Compressed Video Quality Enhancement |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Spatio-Temporal Graph Structure Learning for Traffic Forecasting |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Spatiotemporally Constrained Action Space Attacks on Deep Reinforcement Learning Agents |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Spherical Criteria for Fast and Accurate 360° Object Detection |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Spiking-YOLO: Spiking Neural Network for Energy-Efficient Object Detection |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Stable Learning via Sample Reweighting |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
3 |
| Stable Prediction with Model Misspecification and Agnostic Distribution Shift |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Stealthy and Efficient Adversarial Attacks against Deep Reinforcement Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Stereoscopic Image Super-Resolution with Stereo Consistent Feature |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Stochastic Approximate Gradient Descent via the Langevin Algorithm |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Stochastic Loss Function |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Stochastic Online Learning with Probabilistic Graph Feedback |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Stochastically Robust Personalized Ranking for LSH Recommendation Retrieval |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Story Realization: Expanding Plot Events into Sentences |
❌ |
✅ |
❌ |
✅ |
❌ |
❌ |
✅ |
3 |
| Storytelling from an Image Stream Using Scene Graphs |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Strategy-Proof and Non-Wasteful Multi-Unit Auction via Social Network |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Strategyproof Mechanisms for Friends and Enemies Games |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Strongly Budget Balanced Auctions for Multi-Sided Markets |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Structural Decompositions of Epistemic Logic Programs |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Structure Learning for Approximate Solution of Many-Player Games |
✅ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
3 |
| Structure Learning for Headline Generation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Structure-Aware Feature Fusion for Unsupervised Domain Adaptation |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Structured Output Learning with Conditional Generative Flows |
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❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Structured Sparsification of Gated Recurrent Neural Networks |
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✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| SubSpace Capsule Network |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Subset Selection by Pareto Optimization with Recombination |
✅ |
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❌ |
✅ |
3 |
| Subsidy Allocations in the Presence of Income Shocks |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Suspicion-Free Adversarial Attacks on Clustering Algorithms |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Swap Stability in Schelling Games on Graphs |
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0 |
| Symbiotic Attention with Privileged Information for Egocentric Action Recognition |
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✅ |
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3 |
| Symbolic Top-k Planning |
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3 |
| Symmetric Metric Learning with Adaptive Margin for Recommendation |
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4 |
| Symmetrical Synthesis for Deep Metric Learning |
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3 |
| SynSig2Vec: Learning Representations from Synthetic Dynamic Signatures for Real-World Verification |
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4 |
| Synch-Graph: Multisensory Emotion Recognition Through Neural Synchrony via Graph Convolutional Networks |
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3 |
| Synchronous Speech Recognition and Speech-to-Text Translation with Interactive Decoding |
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✅ |
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4 |
| Syntactically Look-Ahead Attention Network for Sentence Compression |
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✅ |
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4 |
| Synthesizing Action Sequences for Modifying Model Decisions |
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4 |
| Synthetic Depth Transfer for Monocular 3D Object Pose Estimation in the Wild |
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✅ |
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3 |
| System Identification with Time-Aware Neural Sequence Models |
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4 |
| Systematically Exploring Associations among Multivariate Data |
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2 |
| TANDA: Transfer and Adapt Pre-Trained Transformer Models for Answer Sentence Selection |
❌ |
✅ |
✅ |
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4 |
| TANet: Robust 3D Object Detection from Point Clouds with Triple Attention |
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✅ |
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4 |
| TEINet: Towards an Efficient Architecture for Video Recognition |
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✅ |
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3 |
| TRENDNERT: A Benchmark for Trend and Downtrend Detection in a Scientific Domain |
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✅ |
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2 |
| Table2Analysis: Modeling and Recommendation of Common Analysis Patterns for Multi-Dimensional Data |
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❌ |
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✅ |
✅ |
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3 |
| Tandem Inference: An Out-of-Core Streaming Algorithm for Very Large-Scale Relational Inference |
✅ |
✅ |
✅ |
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4 |
| TapNet: Multivariate Time Series Classification with Attentional Prototypical Network |
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3 |
| Target-Aspect-Sentiment Joint Detection for Aspect-Based Sentiment Analysis |
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3 |
| Task and Motion Planning Is PSPACE-Complete |
✅ |
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❌ |
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1 |
| Task-Aware Monocular Depth Estimation for 3D Object Detection |
❌ |
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✅ |
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2 |
| Task-Oriented Dialog Systems That Consider Multiple Appropriate Responses under the Same Context |
❌ |
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✅ |
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3 |
| Tell Me What They’re Holding: Weakly-Supervised Object Detection with Transferable Knowledge from Human-Object Interaction |
❌ |
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✅ |
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2 |
| TellTail: Fast Scoring and Detection of Dense Subgraphs |
✅ |
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4 |
| TemPEST: Soft Template-Based Personalized EDM Subject Generation through Collaborative Summarization |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
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4 |
| Temporal Context Enhanced Feature Aggregation for Video Object Detection |
✅ |
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✅ |
✅ |
✅ |
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5 |
| Temporal Interlacing Network |
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3 |
| Temporal Logics Over Finite Traces with Uncertainty |
✅ |
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1 |
| Temporal Network Embedding with High-Order Nonlinear Information |
✅ |
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✅ |
✅ |
❌ |
❌ |
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4 |
| Temporal Planning with Intermediate Conditions and Effects |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
❌ |
4 |
| Temporal Pyramid Recurrent Neural Network |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
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4 |
| Temporally Grounding Language Queries in Videos by Contextual Boundary-Aware Prediction |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
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3 |
| Tensor Completion for Weakly-Dependent Data on Graph for Metro Passenger Flow Prediction |
✅ |
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3 |
| Tensor FISTA-Net for Real-Time Snapshot Compressive Imaging |
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✅ |
✅ |
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4 |
| Tensor Graph Convolutional Networks for Text Classification |
❌ |
❌ |
✅ |
✅ |
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❌ |
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3 |
| Tensor-SVD Based Graph Learning for Multi-View Subspace Clustering |
✅ |
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✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
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4 |
| Text Perceptron: Towards End-to-End Arbitrary-Shaped Text Spotting |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| TextNAS: A Neural Architecture Search Space Tailored for Text Representation |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
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5 |
| TextScanner: Reading Characters in Order for Robust Scene Text Recognition |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| That and There: Judging the Intent of Pointing Actions with Robotic Arms |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
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3 |
| The Choice Function Framework for Online Policy Improvement |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| The Complexity of Computing Maximin Share Allocations on Graphs |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| The Effectiveness of Peer Prediction in Long-Term Forecasting |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| The HSIC Bottleneck: Deep Learning without Back-Propagation |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| The Impact of Selfishness in Hypergraph Hedonic Games |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| The Missing Data Encoder: Cross-Channel Image Completion with Hide-and-Seek Adversarial Network |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| The Stanford Acuity Test: A Precise Vision Test Using Bayesian Techniques and a Discovery in Human Visual Response |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| The Surprising Power of Hiding Information in Facility Location |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
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1 |
| The Unreasonable Effectiveness of Inverse Reinforcement Learning in Advancing Cancer Research |
✅ |
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✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| The Value of Paraphrase for Knowledge Base Predicates |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
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1 |
| Theory-Based Causal Transfer:Integrating Instance-Level Induction and Abstract-Level Structure Learning |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
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3 |
| Thinking Globally, Acting Locally: Distantly Supervised Global-to-Local Knowledge Selection for Background Based Conversation |
❌ |
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✅ |
✅ |
❌ |
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4 |
| Time-Inconsistent Planning: Simple Motivation Is Hard to Find |
✅ |
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❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Time2Graph: Revisiting Time Series Modeling with Dynamic Shapelets |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Title |
✅ |
✅ |
❌ |
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❌ |
✅ |
3 |
| To Avoid the Pitfall of Missing Labels in Feature Selection: A Generative Model Gives the Answer |
❌ |
❌ |
✅ |
✅ |
❌ |
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3 |
| To Signal or Not To Signal: Exploiting Uncertain Real-Time Information in Signaling Games for Security and Sustainability |
❌ |
✅ |
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❌ |
✅ |
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3 |
| Top-Down RST Parsing Utilizing Granularity Levels in Documents |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
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4 |
| Top-Quality Planning: Finding Practically Useful Sets of Best Plans |
✅ |
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✅ |
❌ |
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5 |
| Topic Enhanced Sentiment Spreading Model in Social Networks Considering User Interest |
✅ |
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✅ |
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❌ |
❌ |
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3 |
| Topic Modeling on Document Networks with Adjacent-Encoder |
❌ |
✅ |
✅ |
✅ |
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4 |
| Toward A Thousand Lights: Decentralized Deep Reinforcement Learning for Large-Scale Traffic Signal Control |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
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4 |
| Towards Accurate Low Bit-Width Quantization with Multiple Phase Adaptations |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Towards Awareness of Human Relational Strategies in Virtual Agents |
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❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Towards Better Forecasting by Fusing Near and Distant Future Visions |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Towards Building a Multilingual Sememe Knowledge Base: Predicting Sememes for BabelNet Synsets |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Towards Certificated Model Robustness Against Weight Perturbations |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
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4 |
| Towards Comprehensive Recommender Systems: Time-Aware Unified Recommendations Based on Listwise Ranking of Implicit Cross-Network Data |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
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4 |
| Towards Cross-Modality Medical Image Segmentation with Online Mutual Knowledge Distillation |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Towards Fine-Grained Temporal Network Representation via Time-Reinforced Random Walk |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Towards Ghost-Free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GAN |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
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4 |
| Towards Hands-Free Visual Dialog Interactive Recommendation |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Towards Interpretation of Pairwise Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Towards Making the Most of BERT in Neural Machine Translation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
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4 |
| Towards Omni-Supervised Face Alignment for Large Scale Unlabeled Videos |
✅ |
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✅ |
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✅ |
❌ |
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4 |
| Towards Oracle Knowledge Distillation with Neural Architecture Search |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Towards Query-Efficient Black-Box Adversary with Zeroth-Order Natural Gradient Descent |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Towards Scalable Multi-Domain Conversational Agents: The Schema-Guided Dialogue Dataset |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Towards Scale-Free Rain Streak Removal via Self-Supervised Fractal Band Learning |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Towards Socially Responsible AI: Cognitive Bias-Aware Multi-Objective Learning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
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3 |
| Towards Universal Languages for Tractable Ontology Mediated Query Answering |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Towards Zero-Shot Learning for Automatic Phonemic Transcription |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Tracking Disaster Footprints with Social Streaming Data |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Tracklet Self-Supervised Learning for Unsupervised Person Re-Identification |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Trading Convergence Rate with Computational Budget in High Dimensional Bayesian Optimization |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Trading-Off Static and Dynamic Regret in Online Least-Squares and Beyond |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Training Decision Trees as Replacement for Convolution Layers |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Training-Time-Friendly Network for Real-Time Object Detection |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Transductive Ensemble Learning for Neural Machine Translation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Transfer Learning for Anomaly Detection through Localized and Unsupervised Instance Selection |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Transfer Reinforcement Learning Using Output-Gated Working Memory |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Transfer Value Iteration Networks |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Translation-Based Matching Adversarial Network for Cross-Lingual Natural Language Inference |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Translucent Answer Predictions in Multi-Hop Reading Comprehension |
❌ |
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✅ |
✅ |
✅ |
❌ |
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5 |
| Transparent Classification with Multilayer Logical Perceptrons and Random Binarization |
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❌ |
✅ |
✅ |
❌ |
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3 |
| Tree-Structured Policy Based Progressive Reinforcement Learning for Temporally Language Grounding in Video |
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3 |
| TreeGen: A Tree-Based Transformer Architecture for Code Generation |
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✅ |
✅ |
✅ |
✅ |
❌ |
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5 |
| True Nonlinear Dynamics from Incomplete Networks |
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✅ |
❌ |
❌ |
❌ |
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2 |
| TrueLearn: A Family of Bayesian Algorithms to Match Lifelong Learners to Open Educational Resources |
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✅ |
✅ |
✅ |
❌ |
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4 |
| Tweedie-Hawkes Processes: Interpreting the Phenomena of Outbreaks |
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❌ |
✅ |
❌ |
❌ |
❌ |
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1 |
| Two Birds with One Stone: Investigating Invertible Neural Networks for Inverse Problems in Morphology |
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✅ |
✅ |
❌ |
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4 |
| Two-Level Transformer and Auxiliary Coherence Modeling for Improved Text Segmentation |
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❌ |
✅ |
✅ |
❌ |
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3 |
| Type-Aware Anchor Link Prediction across Heterogeneous Networks Based on Graph Attention Network |
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❌ |
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❌ |
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3 |
| UCF-STAR: A Large Scale Still Image Dataset for Understanding Human Actions |
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❌ |
✅ |
✅ |
❌ |
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3 |
| URNet: User-Resizable Residual Networks with Conditional Gating Module |
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❌ |
✅ |
❌ |
❌ |
❌ |
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2 |
| Ultrafast Photorealistic Style Transfer via Neural Architecture Search |
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❌ |
✅ |
✅ |
✅ |
❌ |
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3 |
| Ultrafast Video Attention Prediction with Coupled Knowledge Distillation |
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❌ |
✅ |
❌ |
✅ |
❌ |
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3 |
| Uncertainty Aware Graph Gaussian Process for Semi-Supervised Learning |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Uncertainty-Aware Action Advising for Deep Reinforcement Learning Agents |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Uncertainty-Aware Deep Classifiers Using Generative Models |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Uncertainty-Aware Multi-Shot Knowledge Distillation for Image-Based Object Re-Identification |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Uncertainty-Aware Search Framework for Multi-Objective Bayesian Optimization |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
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5 |
| Uncorrected Least-Squares Temporal Difference with Lambda-Return |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
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3 |
| Understanding Medical Conversations with Scattered Keyword Attention and Weak Supervision from Responses |
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✅ |
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✅ |
❌ |
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3 |
| Understanding and Improving Proximity Graph Based Maximum Inner Product Search |
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✅ |
✅ |
❌ |
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❌ |
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5 |
| Understanding the Disharmony between Weight Normalization Family and Weight Decay |
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❌ |
✅ |
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3 |
| Understanding the Semantic Content of Sparse Word Embeddings Using a Commonsense Knowledge Base |
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❌ |
❌ |
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3 |
| Unicoder-VL: A Universal Encoder for Vision and Language by Cross-Modal Pre-Training |
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❌ |
✅ |
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4 |
| Unified Graph and Low-Rank Tensor Learning for Multi-View Clustering |
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4 |
| Unified Vision-Language Pre-Training for Image Captioning and VQA |
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✅ |
✅ |
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❌ |
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5 |
| Universal Adversarial Training |
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4 |
| Universal Value Iteration Networks: When Spatially-Invariant Is Not Universal |
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✅ |
✅ |
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❌ |
❌ |
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5 |
| Universal-RCNN: Universal Object Detector via Transferable Graph R-CNN |
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❌ |
✅ |
✅ |
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❌ |
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4 |
| Unpaired Image Enhancement Featuring Reinforcement-Learning-Controlled Image Editing Software |
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2 |
| Unsupervised Attributed Multiplex Network Embedding |
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4 |
| Unsupervised Deep Learning via Affinity Diffusion |
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✅ |
✅ |
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❌ |
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5 |
| Unsupervised Detection of Sub-Events in Large Scale Disasters |
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✅ |
✅ |
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2 |
| Unsupervised Domain Adaptation on Reading Comprehension |
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✅ |
✅ |
✅ |
❌ |
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5 |
| Unsupervised Domain Adaptation via Discriminative Manifold Embedding and Alignment |
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✅ |
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2 |
| Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling |
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✅ |
✅ |
❌ |
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❌ |
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4 |
| Unsupervised Interlingual Semantic Representations from Sentence Embeddings for Zero-Shot Cross-Lingual Transfer |
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✅ |
✅ |
✅ |
✅ |
❌ |
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5 |
| Unsupervised Metric Learning with Synthetic Examples |
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✅ |
❌ |
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❌ |
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3 |
| Unsupervised Neural Dialect Translation with Commonality and Diversity Modeling |
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✅ |
✅ |
✅ |
❌ |
❌ |
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4 |
| Unsupervised Nonlinear Feature Selection from High-Dimensional Signed Networks |
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❌ |
✅ |
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✅ |
❌ |
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3 |
| Urban2Vec: Incorporating Street View Imagery and POIs for Multi-Modal Urban Neighborhood Embedding |
❌ |
❌ |
❌ |
✅ |
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❌ |
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2 |
| Using Approximation within Constraint Programming to Solve the Parallel Machine Scheduling Problem with Additional Unit Resources |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| V-PROM: A Benchmark for Visual Reasoning Using Visual Progressive Matrices |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
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4 |
| VCG under Sybil (False-Name) Attacks – A Bayesian Analysis |
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✅ |
❌ |
❌ |
❌ |
❌ |
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1 |
| Variational Adversarial Kernel Learned Imitation Learning |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
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3 |
| Variational Inference for Sparse Gaussian Process Modulated Hawkes Process |
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✅ |
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4 |
| Variational Metric Scaling for Metric-Based Meta-Learning |
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4 |
| Variational Pathway Reasoning for EEG Emotion Recognition |
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3 |
| Vector Quantization-Based Regularization for Autoencoders |
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3 |
| Verb Class Induction with Partial Supervision |
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2 |
| Video Cloze Procedure for Self-Supervised Spatio-Temporal Learning |
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2 |
| Video Face Super-Resolution with Motion-Adaptive Feedback Cell |
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3 |
| Video Frame Interpolation via Deformable Separable Convolution |
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2 |
| Viewpoint-Aware Loss with Angular Regularization for Person Re-Identification |
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3 |
| Visual Agreement Regularized Training for Multi-Modal Machine Translation |
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3 |
| Visual Dialogue State Tracking for Question Generation |
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3 |
| Visual Domain Adaptation by Consensus-Based Transfer to Intermediate Domain |
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4 |
| Visual Relationship Detection with Low Rank Non-Negative Tensor Decomposition |
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3 |
| Visual Tactile Fusion Object Clustering |
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3 |
| Visualizing Deep Networks by Optimizing with Integrated Gradients |
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5 |
| Voice for the Voiceless: Active Sampling to Detect Comments Supporting the Rohingyas |
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❌ |
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❌ |
❌ |
❌ |
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0 |
| Weak Supervision for Fake News Detection via Reinforcement Learning |
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✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
5 |
| Weakly Supervised Disentanglement by Pairwise Similarities |
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✅ |
✅ |
✅ |
✅ |
❌ |
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5 |
| Weakly Supervised POS Taggers Perform Poorly onTrulyLow-Resource Languages |
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❌ |
✅ |
❌ |
❌ |
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2 |
| Weakly Supervised Sequence Tagging from Noisy Rules |
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4 |
| Weakly-Supervised Fine-Grained Event Recognition on Social Media Texts for Disaster Management |
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4 |
| Weakly-Supervised Opinion Summarization by Leveraging External Information |
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3 |
| Weakly-Supervised Video Moment Retrieval via Semantic Completion Network |
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✅ |
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3 |
| Weakly-Supervised Video Re-Localization with Multiscale Attention Model |
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3 |
| Web-Supervised Network with Softly Update-Drop Training for Fine-Grained Visual Classification |
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5 |
| Weighted Automata Extraction from Recurrent Neural Networks via Regression on State Spaces |
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3 |
| Weighted Sampling for Combined Model Selection and Hyperparameter Tuning |
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5 |
| Weighted-Sampling Audio Adversarial Example Attack |
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3 |
| What Do You Mean ‘Why?’: Resolving Sluices in Conversations |
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5 |
| What Is It You Really Want of Me? Generalized Reward Learning with Biased Beliefs about Domain Dynamics |
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❌ |
❌ |
❌ |
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1 |
| What Makes A Good Story? Designing Composite Rewards for Visual Storytelling |
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3 |
| When AWGN-Based Denoiser Meets Real Noises |
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❌ |
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3 |
| When Radiology Report Generation Meets Knowledge Graph |
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3 |
| Where to Go Next: Modeling Long- and Short-Term User Preferences for Point-of-Interest Recommendation |
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3 |
| Who Did They Respond to? Conversation Structure Modeling Using Masked Hierarchical Transformer |
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3 |
| Who Likes What? — SplitLBI in Exploring Preferential Diversity of Ratings |
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✅ |
✅ |
✅ |
✅ |
❌ |
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6 |
| Why Attention? Analyze BiLSTM Deficiency and Its Remedies in the Case of NER |
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✅ |
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✅ |
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4 |
| WinoGrande: An Adversarial Winograd Schema Challenge at Scale |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
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5 |
| Word-Level Contextual Sentiment Analysis with Interpretability |
✅ |
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✅ |
✅ |
❌ |
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5 |
| Working Memory-Driven Neural Networks with a Novel Knowledge Enhancement Paradigm for Implicit Discourse Relation Recognition |
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❌ |
✅ |
✅ |
❌ |
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3 |
| Zero Shot Learning with the Isoperimetric Loss |
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✅ |
✅ |
✅ |
❌ |
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5 |
| Zero-Resource Cross-Lingual Named Entity Recognition |
✅ |
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✅ |
✅ |
❌ |
❌ |
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5 |
| Zero-Shot Ingredient Recognition by Multi-Relational Graph Convolutional Network |
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❌ |
✅ |
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3 |
| Zero-Shot Learning from Adversarial Feature Residual to Compact Visual Feature |
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3 |
| Zero-Shot Sketch-Based Image Retrieval via Graph Convolution Network |
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✅ |
✅ |
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4 |
| Zero-Shot Text-to-SQL Learning with Auxiliary Task |
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✅ |
✅ |
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4 |
| ZoomNet: Part-Aware Adaptive Zooming Neural Network for 3D Object Detection |
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4 |
| iFAN: Image-Instance Full Alignment Networks for Adaptive Object Detection |
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✅ |
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3 |