| A BTP-Based Family of Variable Elimination Rules for Binary CSPs |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| A Context-Enriched Neural Network Method for Recognizing Lexical Entailment |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| A Declarative Approach to Data-Driven Fact Checking |
✅ |
❌ |
❌ |
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❌ |
❌ |
❌ |
1 |
| A Deep Hierarchical Approach to Lifelong Learning in Minecraft |
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❌ |
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❌ |
❌ |
✅ |
1 |
| A Dependency-Based Neural Reordering Model for Statistical Machine Translation |
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✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| A Diversified Generative Latent Variable Model for WiFi-SLAM |
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✅ |
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❌ |
✅ |
2 |
| A Dynamic Window Neural Network for CCG Supertagging |
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✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| A Fast Algorithm to Compute Maximum k-Plexes in Social Network Analysis |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
❌ |
5 |
| A Framework for Minimal Clustering Modification via Constraint Programming |
✅ |
✅ |
✅ |
❌ |
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❌ |
✅ |
4 |
| A Framework of Online Learning with Imbalanced Streaming Data |
✅ |
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✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| A General Clustering Agreement Index: For Comparing Disjoint and Overlapping Clusters |
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❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| A General Efficient Hyperparameter-Free Algorithm for Convolutional Sparse Learning |
✅ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| A General Framework for Sparsity Regularized Feature Selection via Iteratively Reweighted Least Square Minimization |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| A Generalized Stochastic Variational Bayesian Hyperparameter Learning Framework for Sparse Spectrum Gaussian Process Regression |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| A Generic Bet-and-Run Strategy for Speeding Up Stochastic Local Search |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| A Hybrid Collaborative Filtering Model with Deep Structure for Recommender Systems |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| A Leukocyte Detection Technique in Blood Smear Images Using Plant Growth Simulation Algorithm |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| A Multi-Task Deep Network for Person Re-Identification |
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❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| A Multiview-Based Parameter Free Framework for Group Detection |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| A Nearly-Black-Box Online Algorithm for Joint Parameter and State Estimation in Temporal Models |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| A Riemannian Network for SPD Matrix Learning |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| A SAT-Based Approach for Solving the Modal Logic S5-Satisfiability Problem |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
✅ |
4 |
| A Sparse Dictionary Learning Framework to Discover Discriminative Source Activations in EEG Brain Mapping |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| A Study of Compact Reserve Pricing Languages |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| A Theoretical Analysis of First Heuristics of Crowdsourced Entity Resolution |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| A Two-Stage Approach for Learning a Sparse Model with Sharp Excess Risk Analysis |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| A Unified Algorithm for One-Cass Structured Matrix Factorization with Side Information |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
5 |
| A Unified Convex Surrogate for the Schatten-pNorm |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| A Unified Model for Cross-Domain and Semi-Supervised Named Entity Recognition in Chinese Social Media |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Abstraction in Situation Calculus Action Theories |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Accelerated Gradient Temporal Difference Learning |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Accelerated Variance Reduced Stochastic ADMM |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Accelerated Vector Pruning for Optimal POMDP Solvers |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Achieving Privacy in the Adversarial Multi-Armed Bandit |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Achieving Sustainable Cooperation in Generalized Prisoner’s Dilemma with Observation Errors |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Active Discriminative Text Representation Learning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Active Learning with Cross-Class Similarity Transfer |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Active Search for Sparse Signals with Region Sensing |
✅ |
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✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Active Search in Intensionally Specified Structured Spaces |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Active Video Summarization: Customized Summaries via On-line Interaction with the User |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Adaptive Proximal Average Approximation for Composite Convex Minimization |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Add Data into Business Process Verification: Bridging the Gap between Theory and Practice |
❌ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
2 |
| Additional Multi-Touch Attribution for Online Advertising |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| Addressing Imbalance in Multi-Label Classification Using Structured Hellinger Forests |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Adverse Drug Reaction Prediction with Symbolic Latent Dirichlet Allocation |
✅ |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
5 |
| Algorithms for Deciding Counting Quantifiers over Unary Predicates |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
✅ |
4 |
| Algorithms for Max-Min Share Fair Allocation of Indivisible Chores |
✅ |
❌ |
❌ |
❌ |
✅ |
✅ |
✅ |
4 |
| Alternating Back-Propagation for Generator Network |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| An Ambiguity Aversion Model for Decision Making under Ambiguity |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| An Analysis of Monte Carlo Tree Search |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| An Artificial Agent for Robust Image Registration |
❌ |
❌ |
❌ |
✅ |
✅ |
❌ |
✅ |
3 |
| An Efficient Approach to Model-Based Hierarchical Reinforcement Learning |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| An End-to-End Spatio-Temporal Attention Model for Human Action Recognition from Skeleton Data |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| An Exact Algorithm for the Maximum Weight Clique Problem in Large Graphs |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| An Exact Penalty Method for Binary Optimization Based on MPEC Formulation |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| An Improved Algorithm for Learning to Perform Exception-Tolerant Abduction |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| An Integrated Model for Effective Saliency Prediction |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Analogical Chaining with Natural Language Instruction for Commonsense Reasoning |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Anytime Anyspace AND/OR Search for Bounding the Partition Function |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Anytime Best+Depth-First Search for Bounding Marginal MAP |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Approximate Conditional Gradient Descent on Multi-Class Classification |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Approximation and Parameterized Complexity of Minimax Approval Voting |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Associate Latent Encodings in Learning from Demonstrations |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Associative Memory Using Dictionary Learning and Expander Decoding |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Asymmetric Discrete Graph Hashing |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Asynchronous Mini-Batch Gradient Descent with Variance Reduction for Non-Convex Optimization |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Asynchronous Stochastic Proximal Optimization Algorithms with Variance Reduction |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Attention Correctness in Neural Image Captioning |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Attentive Interactive Neural Networks for Answer Selection in Community Question Answering |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Attributes for Improved Attributes: A Multi-Task Network Utilizing Implicit and Explicit Relationships for Facial Attribute Classification |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Automated Data Extraction Using Predictive Program Synthesis |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Automated Design of Robust Mechanisms |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Automated Negotiating Agents Competition (ANAC) |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Automatic Curriculum Graph Generation for Reinforcement Learning Agents |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
3 |
| Automatic Emphatic Information Extraction from Aligned Acoustic Data and Its Application on Sentence Compression |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Automatic Logic-Based Benders Decomposition with MiniZinc |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
✅ |
3 |
| Axiomatic Characterization of Game-Theoretic Network Centralities |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Balanced Clustering with Least Square Regression |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| BattRAE: Bidimensional Attention-Based Recursive Autoencoders for Learning Bilingual Phrase Embeddings |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Bayesian Neural Word Embedding |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Best-First Width Search: Exploration and Exploitation in Classical Planning |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Between Subgraph Isomorphism and Maximum Common Subgraph |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| Beyond IID: Learning to Combine Non-IID Metrics for Vision Tasks |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Beyond Monte Carlo Tree Search: Playing Go with Deep Alternative Neural Network and Long-Term Evaluation |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Beyond RPCA: Flattening Complex Noise in the Frequency Domain |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Bilateral k-Means Algorithm for Fast Co-Clustering |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Bilinear Probabilistic Canonical Correlation Analysis via Hybrid Concatenations |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Bilingual Lexicon Induction from Non-Parallel Data with Minimal Supervision |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Binary Embedding with Additive Homogeneous Kernels |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Boosting Complementary Hash Tables for Fast Nearest Neighbor Search |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Bootstrapping Distantly Supervised IE Using Joint Learning and Small Well-Structured Corpora |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Bounded Rationality of Restricted Turing Machines |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Bounding the Probability of Resource Constraint Violations in Multi-Agent MDPs |
✅ |
❌ |
❌ |
❌ |
✅ |
✅ |
✅ |
4 |
| Bridging Video Content and Comments: Synchronized Video Description with Temporal Summarization of Crowdsourced Time-Sync Comments |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Building Task-Oriented Dialogue Systems for Online Shopping |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Building an End-to-End Spatial-Temporal Convolutional Network for Video Super-Resolution |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| CBRAP: Contextual Bandits with RAndom Projection |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
❌ |
4 |
| CLARE: A Joint Approach to Label Classification and Tag Recommendation |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Capturing Dependencies among Labels and Features for Multiple Emotion Tagging of Multimedia Data |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Cascade Subspace Clustering |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| CatchÕEm All: Locating Multiple Diffusion Sources in Networks with Partial Observations |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Causal Discovery Using Regression-Based Conditional Independence Tests |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Causal Effect Identification by Adjustment under Confounding and Selection Biases |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Centralized versus Personalized Commitments and Their Influence on Cooperation in Group Interactions |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Checking the Consistency of Combined Qualitative Constraint Networks |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Classification with Minimax Distance Measures |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Cleaning the Null Space: A Privacy Mechanism for Predictors |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Closing the Loop for Edge Detection and Object Proposals |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| CoCoA: A Non-Iterative Approach to a Local Search (A)DCOP Solver |
✅ |
✅ |
❌ |
❌ |
✅ |
✅ |
✅ |
5 |
| Coactive Critiquing: Elicitation of Preferences and Features |
✅ |
✅ |
❌ |
❌ |
✅ |
✅ |
❌ |
4 |
| Coherent Dialogue with Attention-Based Language Models |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Collaborative Company Profiling: Insights from an Employee’s Perspective |
✅ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
3 |
| Collaborative Dynamic Sparse Topic Regression with User Profile Evolution for Item Recommendation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Collaborative Planning with Encoding of Users’ High-Level Strategies |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Collaborative User Clustering for Short Text Streams |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Collective Deep Quantization for Efficient Cross-Modal Retrieval |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Collective Multiagent Sequential Decision Making Under Uncertainty |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Column Networks for Collective Classification |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Combining Logical Abduction and Statistical Induction: Discovering Written Primitives with Human Knowledge |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Combining Satellite Imagery and Open Data to Map Road Safety |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Communication Lower Bounds for Distributed Convex Optimization: Partition Data on Features |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Community Preserving Network Embedding |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Community-Based Question Answering via Asymmetric Multi-Faceted Ranking Network Learning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| Compiling Graph Substructures into Sentential Decision Diagrams |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
❌ |
3 |
| Complexity of Manipulating Sequential Allocation |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Complexity of the Stable Invitations Problem |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Compressed K-Means for Large-Scale Clustering |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Computational Issues in Time-Inconsistent Planning |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Computing Least Cores of Supermodular Cooperative Games |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| ConceptNet 5.5: An Open Multilingual Graph of General Knowledge |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Condensed Memory Networks for Clinical Diagnostic Inferencing |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Confidence-Rated Discriminative Partial Label Learning |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Configuration Planning with Temporal Constraints |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Constrained Pure Nash Equilibria in Polymatrix Games |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Contextual RNN-GANs for Abstract Reasoning Diagram Generation |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| Continuous Conditional Dependency Network for Structured Regression |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Convex Co-Embedding for Matrix Completion with Predictive Side Information |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Correlated Cascades: Compete or Cooperate |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Cost-Sensitive Feature Selection via F-Measure Optimization Reduction |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Counting-Based Reliability Estimation for Power-Transmission Grids |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Coupled Multi-Layer Attentions for Co-Extraction of Aspect and Opinion Terms |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Coupling Implicit and Explicit Knowledge for Customer Volume Prediction |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Cross-Domain Kernel Induction for Transfer Learning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Cross-Domain Ranking via Latent Space Learning |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Cross-View People Tracking by Scene-Centered Spatio-Temporal Parsing |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Crowdsourced Outcome Determination in Prediction Markets |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| DECK: Discovering Event Composition Knowledge from Web Images for Zero-Shot Event Detection and Recounting in Videos |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Dancing with Decision Diagrams: A Combined Approach to Exact Cover |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Data-Driven Approximations to NP-Hard Problems |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Decentralized Planning in Stochastic Environments with Submodular Rewards |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Deep Collective Inference |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Deep Correlated Metric Learning for Sketch-based 3D Shape Retrieval |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Deep Gaussian Process for Crop Yield Prediction Based on Remote Sensing Data |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Deep Hashing: A Joint Approach for Image Signature Learning |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Deep Learning Quadcopter Control via Risk-Aware Active Learning |
❌ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
2 |
| Deep Learning for Fixed Model Reuse |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Deep MIML Network |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Deep Manifold Learning of Symmetric Positive Definite Matrices with Application to Face Recognition |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| DeepFix: Fixing Common C Language Errors by Deep Learning |
❌ |
✅ |
❌ |
✅ |
✅ |
❌ |
✅ |
4 |
| Definition Modeling: Learning to Define Word Embeddings in Natural Language |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Denoising Criterion for Variational Auto-Encoding Framework |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Depth CNNs for RGB-D Scene Recognition: Learning from Scratch Better than Transferring from RGB-CNNs |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Detection and Recognition of Text Embedded in Online Images via Neural Context Models |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Deterministic Attention for Sequence-to-Sequence Constituent Parsing |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Deterministic versus Probabilistic Methods for Searching for an Evasive Target |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
✅ |
2 |
| Diagnosability Planning for Controllable Discrete Event Systems |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Differentiating Between Posed and Spontaneous Expressions with Latent Regression Bayesian Network |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Disambiguating Spatial Prepositions Using Deep Convolutional Networks |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Disarmament Games |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Discover Multiple Novel Labels in Multi-Instance Multi-Label Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Discrete Personalized Ranking for Fast Collaborative Filtering from Implicit Feedback |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Discriminative Semi-Supervised Dictionary Learning with Entropy Regularization for Pattern Classification |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Distant Domain Transfer Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Distant Supervision for Relation Extraction with Sentence-Level Attention and Entity Descriptions |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Distant Supervision via Prototype-Based Global Representation Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Distinguish Polarity in Bag-of-Words Visualization |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Distributed Negative Sampling for Word Embeddings |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Don’t Forget the Quantifiable Relationship between Words: Using Recurrent Neural Network for Short Text Topic Discovery |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Dual-Clustering Maximum Entropy with Application to Classification and Word Embedding |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Dynamic Action Repetition for Deep Reinforcement Learning |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Dynamic Optimization of Landscape Connectivity Embedding Spatial-Capture-Recapture Information |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Dynamic Thresholding and Pruning for Regret Minimization |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Dynamically Constructed (PO)MDPs for Adaptive Robot Planning |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| ERMMA: Expected Risk Minimization for Matrix Approximation-based Recommender Systems |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| ESPACE: Accelerating Convolutional Neural Networks via Eliminating Spatial and Channel Redundancy |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Efficient Delivery Policy to Minimize User Traffic Consumption in Guaranteed Advertising |
✅ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| Efficient Dependency-Guided Named Entity Recognition |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Efficient Evaluation of Answer Set Programs with External Sources Based on External Source Inlining |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Efficient Hyperparameter Optimization for Deep Learning Algorithms Using Deterministic RBF Surrogates |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Efficient Non-Oblivious Randomized Reduction for Risk Minimization with Improved Excess Risk Guarantee |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Efficient Object Instance Search Using Fuzzy Objects Matching |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Efficient Online Model Adaptation by Incremental Simplex Tableau |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Efficient Ordered Combinatorial Semi-Bandits for Whole-Page Recommendation |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Efficient Parameter Importance Analysis via Ablation with Surrogates |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
7 |
| Efficient Sparse Low-Rank Tensor Completion Using the Frank-Wolfe Algorithm |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Efficient Stochastic Optimization for Low-Rank Distance Metric Learning |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Efficiently Answering Technical Questions Ñ A Knowledge Graph Approach |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Efficiently Mining High Quality Phrases from Texts |
✅ |
❌ |
❌ |
❌ |
✅ |
✅ |
✅ |
4 |
| Embedded Bandits for Large-Scale Black-Box Optimization |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Enabling Dark Energy Science with Deep Generative Models of Galaxy Images |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Engineering Agreement: The Naming Game with Asymmetric and Heterogeneous Agents |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Entropic Causal Inference |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Enumerate Lasso Solutions for Feature Selection |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| Envy-Free Mechanisms with Minimum Number of Cuts |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Estimating Uncertainty Online Against an Adversary |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Estimating the Maximum Expected Value in Continuous Reinforcement Learning Problems |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Event Video Mashup: From Hundreds of Videos to Minutes of Skeleton |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Examples-Rules Guided Deep Neural Network for Makeup Recommendation |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Exclusion Method for Finding Nash Equilibrium in Multiplayer Games |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Expectile Matrix Factorization for Skewed Data Analysis |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Explicit Defense Actions Against Test-Set Attacks |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
❌ |
2 |
| Exploiting both Vertical and Horizontal Dimensions of Feature Hierarchy for Effective Recommendation |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Exploring Commonality and Individuality for Multi-Modal Curriculum Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Exploring Normalization in Deep Residual Networks with Concatenated Rectified Linear Units |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Extending Compact-Table to Negative and Short Tables |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
3 |
| Extensive-Form Perfect Equilibrium Computation in Two-Player Games |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Extracting Urban Microclimates from Electricity Bills |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Face Hallucination with Tiny Unaligned Images by Transformative Discriminative Neural Networks |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Factorization Bandits for Interactive Recommendation |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Fans Economy and All-Pay Auctions with Proportional Allocations |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Fast Compressive Phase Retrieval under Bounded Noise |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Fast Generalized Distillation for Semi-Supervised Domain Adaptation |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Fast Inverse Reinforcement Learning with Interval Consistent Graph for Driving Behavior Prediction |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Fast Online Incremental Learning on Mixture Streaming Data |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
6 |
| Fast SSP Solvers Using Short-Sighted Labeling |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Fast-Tracking Stationary MOMDPs for Adaptive Management Problems |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Faster and Simpler Algorithm for Optimal Strategies of Blotto Game |
❌ |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
1 |
| FeaBoost: Joint Feature and Label Refinement for Semantic Segmentation |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Feature Selection Guided Auto-Encoder |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Finding Critical Users for Social Network Engagement: The Collapsed k-Core Problem |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
❌ |
3 |
| Finding Cut from the Same Cloth: Cross Network Link Recommendation via Joint Matrix Factorization |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Fine-Grained Car Detection for Visual Census Estimation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Fine-Grained Recurrent Neural Networks for Automatic Prostate Segmentation in Ultrasound Images |
❌ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
2 |
| Flexible Model Induction through Heuristic Process Discovery |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Fredholm Multiple Kernel Learning for Semi-Supervised Domain Adaptation |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| From Shared Subspaces to Shared Landmarks: A Robust Multi-Source Classification Approach |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
❌ |
2 |
| Fully Convolutional Neural Networks with Full-Scale-Features for Semantic Segmentation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| GLOMA: Embedding Global Information in Local Matrix Approximation Models for Collaborative Filtering |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Gated Neural Networks for Option Pricing: Rationality by Design |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| General Bounds on Satisfiability Thresholds for Random CSPs via Fourier Analysis |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Generalization Analysis for Ranking Using Integral Operator |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Generalization Error Bounds for Optimization Algorithms via Stability |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Generalized Ambiguity Decompositions for Classification with Applications in Active Learning and Unsupervised Ensemble Pruning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Geometry of Compositionality |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Goal Operations for Cognitive Systems |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Going Beyond Primal Treewidth for (M)ILP |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Graph-Based Wrong IsA Relation Detection in a Large-Scale Lexical Taxonomy |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
❌ |
2 |
| Greedy Flipping for Constrained Word Deletion |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Grid Pathfinding on the 2kNeighborhoods |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
❌ |
3 |
| Group Activity Selection on Social Networks |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Growing Interpretable Part Graphs on ConvNets via Multi-Shot Learning |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Healthy Cognitive Aging: A Hybrid Random Vector Functional-Link Model for the Analysis of AlzheimerÕs Disease |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Heavy-Tailed Analogues of the Covariance Matrix for ICA |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Heuristic Search Value Iteration for One-Sided Partially Observable Stochastic Games |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Higher-Dimensional Potential Heuristics for Optimal Classical Planning |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Hindsight Optimization for Hybrid State and Action MDPs |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| How to Train a Compact Binary Neural Network with High Accuracy? |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Human-Aware Plan Recognition |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| I See What You See: Inferring Sensor and Policy Models of Human Real-World Motor Behavior |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| ICU Mortality Prediction: A Classification Algorithm for Imbalanced Datasets |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Identifying Unknown Unknowns in the Open World: Representations and Policies for Guided Exploration |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Identifying Useful Inference Paths in Large Commonsense Knowledge Bases by Retrograde Analysis |
✅ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| Image Caption with Global-Local Attention |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Image Cosegmentation via Saliency-Guided Constrained Clustering with Cosine Similarity |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Imagined Visual Representations as Multimodal Embeddings |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Importance Sampling with Unequal Support |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Improving Efficiency of SVMk-Fold Cross-Validation by Alpha Seeding |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Improving Event Causality Recognition with Multiple Background Knowledge Sources Using Multi-Column Convolutional Neural Networks |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Improving Multi-Document Summarization via Text Classification |
❌ |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
4 |
| Improving Surveillance Using Cooperative Target Observation |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Improving Word Embeddings with Convolutional Feature Learning and Subword Information |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Incentivising Monitoring in Open Normative Systems |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Incorporating Domain-Independent Planning Heuristics in Hierarchical Planning |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Incorporating Expert Knowledge into Keyphrase Extraction |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Incorporating Knowledge Graph Embeddings into Topic Modeling |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Incrementally Learning the Hierarchical Softmax Function for Neural Language Models |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Inductive Pairwise Ranking: Going Beyond thenlog(n) Barrier |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Inductive Reasoning about Ontologies Using Conceptual Spaces |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Infinite Kernel Learning: Generalization Bounds and Algorithms |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Infinitely Many-Armed Bandits with Budget Constraints |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Informative Subspace Learning for Counterfactual Inference |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Integrating the Cognitive with the Physical: Musical Path Planning for an Improvising Robot |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Integration of Planning with Recognition for Responsive Interaction Using Classical Planners |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| JAG: A Crowdsourcing Framework for Joint Assessment and Peer Grading |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Joint Copying and Restricted Generation for Paraphrase |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Joint Identification of Network Communities and Semantics via Integrative Modeling of Network Topologies and Node Contents |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Knowing What to Ask: A Bayesian Active Learning Approach to the Surveying Problem |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Knowledge Transfer for Deep Reinforcement Learning with Hierarchical Experience Replay |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Kont: Computing Tradeoffs in Normative Multiagent Systems |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| LPMLN, Weak Constraints, and P-log |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
❌ |
1 |
| Label Efficient Learning by Exploiting Multi-Class Output Codes |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Label-Free Supervision of Neural Networks with Physics and Domain Knowledge |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Landmark-Based Heuristics for Goal Recognition |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Large Graph Hashing with Spectral Rotation |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Latent Dependency Forest Models |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| Latent Dirichlet Allocation for Unsupervised Activity Analysis on an Autonomous Mobile Robot |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Latent Discriminant Analysis with Representative Feature Discovery |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Latent Smooth Skeleton Embedding |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Lattice-Based Recurrent Neural Network Encoders for Neural Machine Translation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Learning Attributes from the Crowdsourced Relative Labels |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Learning Bayesian Networks with Incomplete Data by Augmentation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Learning Context-Specific Word/Character Embeddings |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Learning Deep Latent Space for Multi-Label Classification |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Learning Discriminative Activated Simplices for Action Recognition |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Learning Heterogeneous Dictionary Pair with Feature Projection Matrix for Pedestrian Video Retrieval via Single Query Image |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Learning Implicit Tasks for Patient-Specific Risk Modeling in ICU |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| Learning Invariant Deep Representation for NIR-VIS Face Recognition |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Learning Latent Sentiment Scopes for Entity-Level Sentiment Analysis |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Learning Non-Linear Dynamics of Decision Boundaries for Maintaining Classification Performance |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Learning Patch-Based Dynamic Graph for Visual Tracking |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Learning Residual Alternating Automata |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Learning Safe Prediction for Semi-Supervised Regression |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Learning Sparse Task Relations in Multi-Task Learning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Learning Unitary Operators with Help From u(n) |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Learning Visual Sentiment Distributions via Augmented Conditional Probability Neural Network |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Learning to Predict Intent from Gaze During Robotic Hand-Eye Coordination |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| Learning to Prune Dominated Action Sequences in Online Black-Box Planning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Learning with Feature Network and Label Network Simultaneously |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| Let Your Photos Talk: Generating Narrative Paragraph for Photo Stream via Bidirectional Attention Recurrent Neural Networks |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| Leveraging Saccades to Learn Smooth Pursuit: A Self-Organizing Motion Tracking Model Using Restricted Boltzmann Machines |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Leveraging Video Descriptions to Learn Video Question Answering |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Lifted Inference for Convex Quadratic Programs |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Local Centroids Structured Non-Negative Matrix Factorization |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Local Discriminant Hyperalignment for Multi-Subject fMRI Data Alignment |
✅ |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
5 |
| Localizing by Describing: Attribute-Guided Attention Localization for Fine-Grained Recognition |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Lock-Free Optimization for Non-Convex Problems |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Logical Filtering and Smoothing: State Estimation in Partially Observable Domains |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Long-Term Trends in the Public Perception of Artificial Intelligence |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Low-Rank Factorization of Determinantal Point Processes |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Low-Rank Linear Cold-Start Recommendation from Social Data |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Low-Rank Tensor Completion with Total Variation for Visual Data Inpainting |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| MPGL: An Efficient Matching Pursuit Method for Generalized LASSO |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Market Pricing for Data Streams |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Marrying Uncertainty and Time in Knowledge Graphs |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Matching Node Embeddings for Graph Similarity |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| Matrix Factorisation for Scalable Energy Breakdown |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Maximizing the Probability of Arriving on Time: A Practical Q-Learning Method |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Maximum Model Counting |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Maximum Reconstruction Estimation for Generative Latent-Variable Models |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Mechanism Design for Multi-Type Housing Markets |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Mechanism Design in Social Networks |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Mechanism-Aware Neural Machine for Dialogue Response Generation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Minimal Undefinedness for Fuzzy Answer Sets |
✅ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| Misspecified Linear Bandits |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Mixed Discrete-Continuous Planning with Convex Optimization |
❌ |
❌ |
❌ |
❌ |
✅ |
✅ |
❌ |
2 |
| Modeling Skewed Class Distributions by Reshaping the Concept Space |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Modeling the Intensity Function of Point Process Via Recurrent Neural Networks |
❌ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
2 |
| Multi-Agent Path Finding with Delay Probabilities |
✅ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| Multi-Kernel Low-Rank Dictionary Pair Learning for Multiple Features Based Image Classification |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Multi-Objective Influence Diagrams with Possibly Optimal Policies |
✅ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| Multi-Path Feedback Recurrent Neural Networks for Scene Parsing |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Multi-Task Deep Learning for User Intention Understanding in Speech Interaction Systems |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
1 |
| Multi-View Clustering and Semi-Supervised Classification with Adaptive Neighbours |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Multi-View Clustering via Deep Matrix Factorization |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Multi-View Correlated Feature Learning by Uncovering Shared Component |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Multiclass Capped _p-Norm SVM for Robust Classifications |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Multidimensional Scaling on Multiple Input Distance Matrices |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Multilinear Regression for Embedded Feature Selection with Application to fMRI Analysis |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Multiple Kernel k-Means with Incomplete Kernels |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Multiple Source Detection without Knowing the Underlying Propagation Model |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Multiset Feature Learning for Highly Imbalanced Data Classification |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Multitask Dyadic Prediction and Its Application in Prediction of Adverse Drug-Drug Interaction |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Multivariate Hawkes Processes for Large-Scale Inference |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Multiwinner Approval Rules as Apportionment Methods |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Narrowing the Gap Between Saturated and Optimal Cost Partitioning for Classical Planning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Nash Stability in Social Distance Games |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Natural Language Acquisition and Grounding for Embodied Robotic Systems |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Near-Optimal Active Learning of Halfspaces via Query Synthesis in the Noisy Setting |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Network, Popularity and Social Cohesion: A Game-Theoretic Approach |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Neural Bag-of-Ngrams |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Neural Machine Translation Advised by Statistical Machine Translation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Neural Machine Translation with Reconstruction |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Neural Models for Sequence Chunking |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Neural Programming by Example |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| New Lower Bound for the Minimum Sum Coloring Problem |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
❌ |
2 |
| Non-Additive Security Games |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Non-Deterministic Planning with Temporally Extended Goals: LTL over Finite and Infinite Traces |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Non-Monotone DR-Submodular Function Maximization |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Non-Negative Inductive Matrix Completion for Discrete Dyadic Data |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Non-Parametric Estimation of Multiple Embeddings for Link Prediction on Dynamic Knowledge Graphs |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Non-Rigid Point Set Registration with Robust Transformation Estimation under Manifold Regularization |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Nonlinear Dynamic Boltzmann Machines for Time-Series Prediction |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Nonnegative Orthogonal Graph Matching |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Novel Geometric Approach for Global Alignment of PPI Networks |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Number Restrictions on Transitive Roles in Description Logics with Nominals |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Nurturing Group-Beneficial Information-Gathering Behaviors Through Above-Threshold Criteria Setting |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| OFFER: Off-Environment Reinforcement Learning |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Obvious Strategyproofness Needs Monitoring for Good Approximations |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| On Covering Codes and Upper Bounds for the Dimension of Simple Games |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| On Equivalence and Inconsistency of Answer Set Programs with External Sources |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| On Human Intellect and Machine Failures: Troubleshooting Integrative Machine Learning Systems |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| On Learning High Dimensional Structured Single Index Models |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| On Markov Games Played by Bayesian and Boundedly-Rational Players |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| On Pareto Optimality in Social Distance Games |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| On Predictive Patent Valuation: Forecasting Patent Citations and Their Types |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| On the Computation of Paracoherent Answer Sets |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| On the Disruptive Effectiveness of Automated Planning for LTLf-Based Trace Alignment |
❌ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
2 |
| On the Transitivity of Hypernym-Hyponym Relations in Data-Driven Lexical Taxonomies |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| One-Step Spectral Clustering via Dynamically Learning Affinity Matrix and Subspace |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Online Active Linear Regression via Thresholding |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Online Multi-Target Tracking Using Recurrent Neural Networks |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
✅ |
4 |
| Ontology Materialization by Abstraction Refinement in Horn SHOIF |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Ontology-Based Data Access with a Horn Fragment of Metric Temporal Logic |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
❌ |
2 |
| Ontology-Mediated Queries for Probabilistic Databases |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Open-Universe Weighted Model Counting |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
❌ |
3 |
| Open-Vocabulary Semantic Parsing with both Distributional Statistics and Formal Knowledge |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Optimal Neighborhood Kernel Clustering with Multiple Kernels |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Optimal Personalized Defense Strategy Against Man-In-The-Middle Attack |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Optimal Pricing for Submodular Valuations with Bounded Curvature |
✅ |
❌ |
❌ |
❌ |
✅ |
✅ |
❌ |
3 |
| Optimizing Expectation with Guarantees in POMDPs |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
❌ |
3 |
| Optimizing Positional Scoring Rules for Rank Aggregation |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Optimizing Quantiles in Preference-Based Markov Decision Processes |
✅ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| Ordinal Constrained Binary Code Learning for Nearest Neighbor Search |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| PAC Identification of a Bandit Arm Relative to a Reward Quantile |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| PIVE: Per-Iteration Visualization Environment for Real-Time Interactions with Dimension Reduction and Clustering |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| POI2Vec: Geographical Latent Representation for Predicting Future Visitors |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Pairwise HITS: Quality Estimation from Pairwise Comparisons in Creator-Evaluator Crowdsourcing Process |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Pairwise Relationship Guided Deep Hashing for Cross-Modal Retrieval |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Parallel Asynchronous Stochastic Variance Reduction for Nonconvex Optimization |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Parameter Free Large Margin Nearest Neighbor for Distance Metric Learning |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Parameterised Verification of Infinite State Multi-Agent Systems via Predicate Abstraction |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Parametric Dual Maximization for Non-Convex Learning Problems |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Partitioned Sampling of Public Opinions Based on Their Social Dynamics |
✅ |
❌ |
✅ |
❌ |
❌ |
✅ |
✅ |
4 |
| Patch Reordering: A NovelWay to Achieve Rotation and Translation Invariance in Convolutional Neural Networks |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Personalized Donor-Recipient Matching for Organ Transplantation |
✅ |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
5 |
| Phase Transitions for Scale-Free SAT Formulas |
✅ |
❌ |
✅ |
❌ |
❌ |
✅ |
✅ |
4 |
| PhragmnÕs Voting Methods and Justified Representation |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Phrase-Based Presentation Slides Generation for Academic Papers |
✅ |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
2 |
| Plan Reordering and Parallel Execution Ñ A Parameterized Complexity View |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Playing FPS Games with Deep Reinforcement Learning |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Poisson Sum-Product Networks: A Deep Architecture for Tractable Multivariate Poisson Distributions |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Policy Search with High-Dimensional Context Variables |
✅ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
3 |
| Polynomial Optimization Methods for Matrix Factorization |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Polynomially Bounded Logic Programs with Function Symbols: A New Decidable |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Portfolio Selection via Subset Resampling |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Practical TBox Abduction Based on Justification Patterns |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| Predicting Demographics of High-Resolution Geographies with Geotagged Tweets |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Predicting Latent Narrative Mood Using Audio and Physiologic Data |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| Predicting Soccer Highlights from Spatio-Temporal Match Event Streams |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
3 |
| Preference Elicitation For Participatory Budgeting |
❌ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
2 |
| Preferences Single-Peaked on a Circle |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Preferential Structures for Comparative Probabilistic Reasoning |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Prerequisite Skills for Reading Comprehension: Multi-Perspective Analysis of MCTest Datasets and Systems |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Privacy-Preserving Human Activity Recognition from Extreme Low Resolution |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| Probabilistic Non-Negative Matrix Factorization and Its Robust Extensions for Topic Modeling |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Probably Approximately Efficient Combinatorial Auctions via Machine Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Problem Difficulty and the Phase Transition in Heuristic Search |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Profit-Driven Team Grouping in Social Networks |
✅ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| Progressive Prediction of Student Performance in College Programs |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| ProjE: Embedding Projection for Knowledge Graph Completion |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Proper Proxy Scoring Rules |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Proportional Justified Representation |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Psychological Forest: Predicting Human Behavior |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Psychologically Based Virtual-Suspect for Interrogative Interview Training |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Quantifying and Detecting Collective Motion by Manifold Learning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Query Answering in DL-Lite with Datatypes: A Non-Uniform Approach |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Query Complexity of Tournament Solutions |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Query-Efficient Imitation Learning for End-to-End Simulated Driving |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Querying Partially Labelled Data to Improve a K-nn Classifier |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Question DifÞculty Prediction for READING Problems in Standard Tests |
❌ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
2 |
| RQUERY: Rewriting Natural Language Queries on Knowledge Graphs to Alleviate the Vocabulary Mismatch Problem |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Radon Ð Rapid Discovery of Topological Relations |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Random Features for Shift-Invariant Kernels with Moment Matching |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Random-Radius Ball Method for Estimating Closeness Centrality |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Randomized Mechanisms for Selling Reserved Instances in Cloud |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Rank Ordering Constraints Elimination with Application for Kernel Learning |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
❌ |
3 |
| Reactive Dialectic Search Portfolios for MaxSAT |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Reactive Versus Anticipative Decision Making in a Novel Gift-Giving Game |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Read the Silence: Well-Timed Recommendation via Admixture Marked Point Processes |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Reasoning about Cognitive Trust in Stochastic Multiagent Systems |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Recognising Multidimensional Euclidean Preferences |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Recovering True Classifier Performance in Positive-Unlabeled Learning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Recurrent Attentional Topic Model |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
1 |
| Recurrent Neural Networks with Auxiliary Labels for Cross-Domain Opinion Target Extraction |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Reference Based LSTM for Image Captioning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Regret Ratio Minimization in Multi-Objective Submodular Function Maximization |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
❌ |
4 |
| Regularization for Unsupervised Deep Neural Nets |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Regularization in Hierarchical Time Series Forecasting with Application to Electricity Smart Meter Data |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Regularized Diffusion Process for Visual Retrieval |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Relational Deep Learning: A Deep Latent Variable Model for Link Prediction |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Representations of Context in Recognizing the Figurative and Literal Usages of Idioms |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Resource Constrained Structured Prediction |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Resource Graph Games: A Compact Representation for Games with Structured Strategy Spaces |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Revenue Maximization for Finitely Repeated Ad Auctions |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Riemannian Submanifold Tracking on Low-Rank Algebraic Variety |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Rigging Nearly Acyclic Tournaments Is Fixed-Parameter Tractable |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Robsut Wrod Reocginiton via Semi-Character Recurrent Neural Network |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Robust Execution of Probabilistic Temporal Plans |
✅ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| Robust Loss Functions under Label Noise for Deep Neural Networks |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Robust MIL-Based Feature Template Learning for Object Tracking |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Robust Manifold Matrix Factorization for Joint Clustering and Feature Extraction |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Robust Optimization for Tree-Structured Stochastic Network Design |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Robust Partially-Compressed Least-Squares |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Robust Visual Tracking via Local-Global Correlation Filter |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| S2JSD-LSH: A Locality-Sensitive Hashing Schema for Probability Distributions |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| SAT Competition 2016: Recent Developments |
❌ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
4 |
| SAT Encodings for Distance-Based Belief Merging Operators |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| SCOPE: Scalable Composite Optimization for Learning on Spark |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| SSP: Semantic Space Projection for Knowledge Graph Embedding with Text Descriptions |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Salience Estimation via Variational Auto-Encoders for Multi-Document Summarization |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Sampling Beats Fixed Estimate Predictors for Cloning Stochastic Behavior in Multiagent Systems |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Scalable Algorithm for Higher-Order Co-Clustering via Random Sampling |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Scalable Feature Selection via Distributed Diversity Maximization |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Scalable Graph Embedding for Asymmetric Proximity |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Scalable Multitask Policy Gradient Reinforcement Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Scalable Optimization of Multivariate Performance Measures in Multi-instance Multi-label Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Scanpath Complexity: Modeling Reading Effort Using Gaze Information |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Schematic Invariants by Reduction to Ground Invariants |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Security Games on a Plane |
❌ |
❌ |
❌ |
❌ |
✅ |
✅ |
✅ |
3 |
| Selecting Sequences of Items via Submodular Maximization |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Self-Correcting Models for Model-Based Reinforcement Learning |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
3 |
| Self-Paced Learning: An Implicit Regularization Perspective |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Self-Paced Multi-Task Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Selfish Knapsack |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Semantic Parsing with Neural Hybrid Trees |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Semantic Proto-Role Labeling |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Semantic Proximity Search on Heterogeneous Graph by Proximity Embedding |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| Semi-Supervised Adaptive Label Distribution Learning for Facial Age Estimation |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Semi-Supervised Classifications via Elastic and Robust Embedding |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Semi-Supervised Multi-View Correlation Feature Learning with Application to Webpage Classification |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Sequential Classification-Based Optimization for Direct Policy Search |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Sequential Peer Prediction: Learning to Elicit Effort using Posted Prices |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Sherlock: Scalable Fact Learning in Images |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Should Algorithms for Random SAT and Max-SAT Be Different? |
✅ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| Simultaneous Clustering and Ensemble |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Small Is Beautiful: Computing Minimal Equivalent EL Concepts |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Small Representations of Big Kidney Exchange Graphs |
✅ |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
2 |
| SnapNETS: Automatic Segmentation of Network Sequences with Node Labels |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Social Choice Under Metric Preferences: Scoring Rules and STV |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Soft Video Parsing by Label Distribution Learning |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Soft and Cost MDD Propagators |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Solving Advanced Argumentation Problems with Answer-Set Programming |
❌ |
✅ |
❌ |
❌ |
✅ |
✅ |
✅ |
4 |
| Solving Constrained Combinatorial Optimisation Problems via MAP Inference without High-Order Penalties |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Solving High-Dimensional Multi-Objective Optimization Problems with Low Effective Dimensions |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Solving Indefinite Kernel Support Vector Machine with Difference of Convex Functions Programming |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Solving Seven Open Problems of Offline and Online Control in Borda Elections |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Source Information Disclosure in Ontology-Based Data Integration |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Sparse Boltzmann Machines with Structure Learning as Applied to Text Analysis |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Sparse Deep Transfer Learning for Convolutional Neural Network |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Sparse Subspace Clustering by Learning Approximation _0 Codes |
✅ |
❌ |
✅ |
❌ |
❌ |
✅ |
✅ |
4 |
| Spatial Projection of Multiple Climate Variables Using Hierarchical Multitask Learning |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Species Distribution Modeling of Citizen Science Data as a Classification Problem with Class-Conditional Noise |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Spectral Clustering with Brainstorming Process for Multi-View Data |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| State Projection via AI Planning |
❌ |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
1 |
| Strategic Sequences of Arguments for Persuasion Using Decision Trees |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Strategic Signaling and Free Information Disclosure in Auctions |
❌ |
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❌ |
❌ |
❌ |
✅ |
1 |
| Streaming Classification with Emerging New Class by Class Matrix Sketching |
✅ |
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✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| StructInf: Mining Structural Influence from Social Streams |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Structural Correspondence Learning for Cross-Lingual Sentiment Classification with One-to-Many Mappings |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Structure Regularized Unsupervised Discriminant Feature Analysis |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Structured Inference Networks for Nonlinear State Space Models |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
7 |
| SummaRuNNer: A Recurrent Neural Network Based Sequence Model for Extractive Summarization of Documents |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Systematic Exploration of Larger Local Search Neighborhoods for the Minimum Vertex Cover Problem |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| TaGiTeD: Predictive Task Guided Tensor Decomposition for Representation Learning from Electronic Health Records |
✅ |
❌ |
❌ |
✅ |
❌ |
✅ |
✅ |
4 |
| Taming the Matthew Effect in Online Markets with Social Influence |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Team-Maxmin Equilibrium: Efficiency Bounds and Algorithms |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Teams in Online Scheduling Polls: Game-Theoretic Aspects |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Text-Guided Attention Model for Image Captioning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| TextBoxes: A Fast Text Detector with a Single Deep Neural Network |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| The Benefit in Free Information Disclosure When Selling Information to People |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| The Bernstein Mechanism: Function Release under Differential Privacy |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| The Complexity of Stable Matchings under Substitutable Preferences |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| The Computational Complexity of Weighted Greedy Matching |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| The Dollar Auction with Spiteful Players |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| The Efficiency of the HyperPlay Technique Over Random Sampling |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| The Kernel Kalman Rule Ñ Efficient Nonparametric Inference with Recursive Least Squares |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| The Linearization of Belief Propagation on Pairwise Markov Random Fields |
❌ |
✅ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| The Multivariate Generalised von Mises Distribution: Inference and Applications |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| The Opacity of Backbones |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| The Option-Critic Architecture |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| The Positronic Economist: A Computational System for Analyzing Economic Mechanisms |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| The Simultaneous Maze Solving Problem |
❌ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
2 |
| The State of the AIIDE Conference in 2017 |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| The Symbolic Interior Point Method |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| The Unusual Suspects: Deep Learning Based Mining of Interesting Entity Trivia from Knowledge Graphs |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Thompson Sampling for Stochastic Bandits with Graph Feedback |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Three New Algorithms to Solve N-POMDPs |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Title Learning Latent Subevents in Activity Videos Using Temporal Attention Filters |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Top-k Hierarchical Classification |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Topic Aware Neural Response Generation |
❌ |
✅ |
❌ |
✅ |
✅ |
❌ |
✅ |
4 |
| Towards Better Understanding the Clothing Fashion Styles: A Multimodal Deep Learning Approach |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Towards Continuous Scientific Data Analysis and Hypothesis Evolution |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Towards a Brain Inspired Model of Self-Awareness for Sociable Agents |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Tractable Algorithms for Approximate Nash Equilibria in Generalized Graphical Games with Tree Structure |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Transfer Learning for Deep Learning on Graph-Structured Data |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Transfer Reinforcement Learning with Shared Dynamics |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Transitive Hashing Network for Heterogeneous Multimedia Retrieval |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Translation Prediction with Source Dependency-Based Context Representation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Treatment Effect Estimation with Data-Driven Variable Decomposition |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Trust-Sensitive Evolution of DL-Lite Knowledge Bases |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Tsallis Regularized Optimal Transport and Ecological Inference |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Tunable Sensitivity to Large Errors in Neural Network Training |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| TweetFit: Fusing Multiple Social Media and Sensor Data for Wellness Profile Learning |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Twin Learning for Similarity and Clustering: A Unified Kernel Approach |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Two-Dimensional PCA with F-Norm Minimization |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Unbiased Multivariate Correlation Analysis |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Understanding the Semantic Structures of Tables with a Hybrid Deep Neural Network Architecture |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Unimodal Thompson Sampling for Graph-Structured Arms |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Unit Dependency Graph and Its Application to Arithmetic Word Problem Solving |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Universum Prescription: Regularization Using Unlabeled Data |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Unsupervised Deep Learning for Optical Flow Estimation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Unsupervised Domain Adaptation with a Relaxed Covariate Shift Assumption |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Unsupervised Feature Learning for 3D Scene Reconstruction with Occupancy Maps |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Unsupervised Large Graph Embedding |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Unsupervised Learning for Lexicon-Based Classification |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Unsupervised Learning of Evolving Relationships Between Literary Characters |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Unsupervised Learning of Multi-Level Descriptors for Person Re-Identification |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Unsupervised Learning with Truncated Gaussian Graphical Models |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Unsupervised Sentiment Analysis with Signed Social Networks |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Using Discourse Signals for Robust Instructor Intervention Prediction |
❌ |
✅ |
❌ |
✅ |
❌ |
❌ |
✅ |
3 |
| VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning Problem |
✅ |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| Validating Domains and Plans for Temporal Planning via Encoding into Infinite-State Linear Temporal Logic |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Value Compression of Pattern Databases |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Variable Kernel Density Estimation in High-Dimensional Feature Spaces |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Variational Autoencoder for Semi-Supervised Text Classification |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Video Captioning with Listwise Supervision |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Video Recovery via Learning Variation and Consistency of Images |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Vision-Language Fusion for Object Recognition |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Visual Object Tracking for Unmanned Aerial Vehicles: A Benchmark and New Motion Models |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Visual Sentiment Analysis by Attending on Local Image Regions |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Volumetric ConvNets with Mixed Residual Connections for Automated Prostate Segmentation from 3D MR Images |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Vote Until Two of You Agree: Mechanisms with Small Distortion and Sample Complexity |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Weakly Supervised Learning of Part Selection Model with Spatial Constraints for Fine-Grained Image Classification |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Weakly Supervised Semantic Segmentation Using Superpixel Pooling Network |
❌ |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
5 |
| Weakly-Supervised Deep Nonnegative Low-Rank Model for Social Image Tag Refinement and Assignment |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Web-Based Semantic Fragment Discovery for On-Line Lingual-Visual Similarity |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Weighted Bandits or: How Bandits Learn Distorted Values That Are Not Expected |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| What Do Multiwinner Voting Rules Do? An Experiment Over the Two-Dimensional Euclidean Domain |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| What Happens Next? Future Subevent Prediction Using Contextual Hierarchical LSTM |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| What’s Hot at CPAIOR (Extended Abstract) |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| What’s Hot in Case-Based Reasoning |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| What’s Hot in Constraint Programming |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| What’s Hot in Evolutionary Computation |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| When Does Bounded-Optimal Metareasoning Favor Few Cognitive Systems? |
❌ |
❌ |
❌ |
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❌ |
❌ |
✅ |
1 |
| When and Why Are Deep Networks Better Than Shallow Ones? |
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1 |
| When to Reset Your Keys: Optimal Timing of Security Updates via Learning |
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✅ |
2 |
| Where to Add Actions in Human-in-the-Loop Reinforcement Learning |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Winner Determination in Huge Elections with MapReduce |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Word Embedding Based Correlation Model for Question/Answer Matching |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Zero-Shot Recognition via Direct Classifier Learning with Transferred Samples and Pseudo Labels |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |