| 3-in-1 Correlated Embedding via Adaptive Exploration of the Structure and Semantic Subspaces |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| 3D-Aided Deep Pose-Invariant Face Recognition |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| 3D-PhysNet: Learning the Intuitive Physics of Non-Rigid Object Deformations |
❌ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
4 |
| A Bayesian Latent Variable Model of User Preferences with Item Context |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| A Brand-level Ranking System with the Customized Attention-GRU Model |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| A Cloaking Mechanism to Mitigate Market Manipulation |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| A Comparative Study of Transactional and Semantic Approaches for Predicting Cascades on Twitter |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| A Decentralised Approach to Intersection Traffic Management |
❌ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
2 |
| A Deep Framework for Cross-Domain and Cross-System Recommendations |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| A Deep Modular RNN Approach for Ethos Mining |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| A Degeneracy Framework for Graph Similarity |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| A Fast Algorithm for Generalized Arc Consistency of the Alldifferent Constraint |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| A Fast Algorithm for Optimally Finding Partially Disjoint Shortest Paths |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| A Fast Local Search Algorithm for Minimum Weight Dominating Set Problem on Massive Graphs |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| A Fast and Accurate Method for Estimating People Flow from Spatiotemporal Population Data |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| A Framework for Constraint Based Local Search using Essence |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| A General Approach to Running Time Analysis of Multi-objective Evolutionary Algorithms |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| A Generic Approach for Accelerating Stochastic Zeroth-Order Convex Optimization |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
❌ |
3 |
| A Graphical Criterion for Effect Identification in Equivalence Classes of Causal Diagrams |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| A Group-based Approach to Improve Multifactorial Evolutionary Algorithm |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| A Hierarchical End-to-End Model for Jointly Improving Text Summarization and Sentiment Classification |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| A Joint Learning Approach to Intelligent Job Interview Assessment |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| A Local Algorithm for Product Return Prediction in E-Commerce |
✅ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
3 |
| A Multi-task Learning Approach for Image Captioning |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| A Non-Parametric Generative Model for Human Trajectories |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| A Normalized Convolutional Neural Network for Guided Sparse Depth Upsampling |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| A Novel Data Representation for Effective Learning in Class Imbalanced Scenarios |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| A Novel Neural Network Model based on Cerebral Hemispheric Asymmetry for EEG Emotion Recognition |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| A Novel Strategy for Active Task Assignment in Crowd Labeling |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| A Property Testing Framework for the Theoretical Expressivity of Graph Kernels |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| A Question Type Driven Framework to Diversify Visual Question Generation |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| A Reactive Strategy for High-Level Consistency During Search |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| A Reinforced Topic-Aware Convolutional Sequence-to-Sequence Model for Abstractive Text Summarization |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| A Savage-style Utility Theory for Belief Functions |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| A Scalable Scheme for Counting Linear Extensions |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| A Simple Convolutional Neural Network for Accurate P300 Detection and Character Spelling in Brain Computer Interface |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| A Social Interaction Activity based Time-Varying User Vectorization Method for Online Social Networks |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| A Structural Approach to Activity Selection |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| A Study of Argumentative Characterisations of Preferred Subtheories |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| A Symbolic Approach to Explaining Bayesian Network Classifiers |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| A Unified Analysis of Stochastic Momentum Methods for Deep Learning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| A Unified Approach for Multi-step Temporal-Difference Learning with Eligibility Traces in Reinforcement Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
✅ |
✅ |
4 |
| A Weakly Supervised Method for Topic Segmentation and Labeling in Goal-oriented Dialogues via Reinforcement Learning |
✅ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
3 |
| AAR-CNNs: Auto Adaptive Regularized Convolutional Neural Networks |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| ACV-tree: A New Method for Sentence Similarity Modeling |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| ANOMALOUS: A Joint Modeling Approach for Anomaly Detection on Attributed Networks |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| ANRL: Attributed Network Representation Learning via Deep Neural Networks |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| A^3NCF: An Adaptive Aspect Attention Model for Rating Prediction |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Abducing Relations in Continuous Spaces |
❌ |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
5 |
| Abstraction of Agents Executing Online and their Abilities in the Situation Calculus |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Accelerated Asynchronous Greedy Coordinate Descent Algorithm for SVMs |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Accelerated Difference of Convex functions Algorithm and its Application to Sparse Binary Logistic Regression |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Accelerating Convolutional Networks via Global & Dynamic Filter Pruning |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Accountable Approval Sorting |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Achieving Non-Discrimination in Prediction |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Active Discriminative Network Representation Learning |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Active Object Reconstruction Using a Guided View Planner |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Active Recurrence of Lighting Condition for Fine-Grained Change Detection |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Actual Causality in a Logical Setting |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Adaboost with Auto-Evaluation for Conversational Models |
✅ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
3 |
| Adaptive Collaborative Similarity Learning for Unsupervised Multi-view Feature Selection |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Adaptive Graph Guided Embedding for Multi-label Annotation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Admissible Abstractions for Near-optimal Task and Motion Planning |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Adversarial Active Learning for Sequences Labeling and Generation |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Adversarial Attribute-Image Person Re-identification |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Adversarial Constraint Learning for Structured Prediction |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Adversarial Metric Learning |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Adversarial Regression for Detecting Attacks in Cyber-Physical Systems |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Adversarial Task Assignment |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
✅ |
3 |
| Adversarially Regularized Graph Autoencoder for Graph Embedding |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Age Estimation Using Expectation of Label Distribution Learning |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| Algorithms for Fair Load Shedding in Developing Countries |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Algorithms for the Nearest Assignment Problem |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Algorithms or Actions? A Study in Large-Scale Reinforcement Learning |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Alternating-time Temporal Logic on Finite Traces |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| An Adaptive Hierarchical Compositional Model for Phrase Embedding |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| An Analytical and Experimental Comparison of Maximal Lottery Schemes |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| An Appearance-and-Structure Fusion Network for Object Viewpoint Estimation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| An Axiomatic View of the Parimutuel Consensus Mechanism |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| An Efficient Algorithm To Compute Distance Between Lexicographic Preference Trees |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| An Empirical Study of Knowledge Tradeoffs in Case-Based Reasoning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| An Encoder-Decoder Framework Translating Natural Language to Database Queries |
❌ |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
4 |
| An Ensemble of Retrieval-Based and Generation-Based Human-Computer Conversation Systems |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| An Exact Algorithm for Maximum k-Plexes in Massive Graphs |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
❌ |
4 |
| An FPTAS for Computing Nash Equilibrium in Resource Graph Games |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| An Information Theory based Approach to Multisource Clustering |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| An Operational Semantics for a Fragment of PRS |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Analyzing Tie-Breaking Strategies for the A* Algorithm |
❌ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
4 |
| Annotation-Free and One-Shot Learning for Instance Segmentation of Homogeneous Object Clusters |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Anonymizing k Facial Attributes via Adversarial Perturbations |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Answering Mixed Type Questions about Daily Living Episodes |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Anytime Focal Search with Applications |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Approval-Based Multi-Winner Rules and Strategic Voting |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Approximating Word Ranking and Negative Sampling for Word Embedding |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Approximation Guarantees of Stochastic Greedy Algorithms for Subset Selection |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Argumentation-Based Recommendations: Fantastic Explanations and How to Find Them |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Artificial Intelligence Conferences Closeness |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Aspect Sentiment Classification with both Word-level and Clause-level Attention Networks |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Aspect Term Extraction with History Attention and Selective Transformation |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Aspect-Level Deep Collaborative Filtering via Heterogeneous Information Networks |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Assigning Personality/Profile to a Chatting Machine for Coherent Conversation Generation |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Attention-Fused Deep Matching Network for Natural Language Inference |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Attentional Image Retweet Modeling via Multi-Faceted Ranking Network Learning |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| Automata-Theoretic Foundations of FOND Planning for LTLf and LDLf Goals |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Automatic Gating of Attributes in Deep Structure |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Automatic Opioid User Detection from Twitter: Transductive Ensemble Built on Different Meta-graph Based Similarities over Heterogeneous Information Network |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Axiomatization of the PageRank Centrality |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Back to Basics: Benchmarking Canonical Evolution Strategies for Playing Atari |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Balancing Two-Player Stochastic Games with Soft Q-Learning |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Bandit Online Learning on Graphs via Adaptive Optimization |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Bayesian Active Edge Evaluation on Expensive Graphs |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
3 |
| Behavior of Analogical Inference w.r.t. Boolean Functions |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Behavioral Cloning from Observation |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Belief Update in the Horn Fragment |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Best-Case and Worst-Case Behavior of Greedy Best-First Search |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Better and Faster: Knowledge Transfer from Multiple Self-supervised Learning Tasks via Graph Distillation for Video Classification |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Beyond Polarity: Interpretable Financial Sentiment Analysis with Hierarchical Query-driven Attention |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| Beyond Similar and Dissimilar Relations : A Kernel Regression Formulation for Metric Learning |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Beyond the Click-Through Rate: Web Link Selection with Multi-level Feedback |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Biased Random Walk based Social Regularization for Word Embeddings |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Bidding in Periodic Double Auctions Using Heuristics and Dynamic Monte Carlo Tree Search |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Big City vs. the Great Outdoors: Voter Distribution and How It Affects Gerrymandering |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Biharmonic Distance Related Centrality for Edges in Weighted Networks |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Binary Coding based Label Distribution Learning |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Boosting MCSes Enumeration |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Bootstrapping Entity Alignment with Knowledge Graph Embedding |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Brain-inspired Balanced Tuning for Spiking Neural Networks |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Budget-feasible Procurement Mechanisms in Two-sided Markets |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Building Sparse Deep Feedforward Networks using Tree Receptive Fields |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| CAGAN: Consistent Adversarial Training Enhanced GANs |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| CR-GAN: Learning Complete Representations for Multi-view Generation |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| CSNN: An Augmented Spiking based Framework with Perceptron-Inception |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Cascaded Low Rank and Sparse Representation on Grassmann Manifolds |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Cascaded SR-GAN for Scale-Adaptive Low Resolution Person Re-identification |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Causal Inference in Time Series via Supervised Learning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Centralized Ranking Loss with Weakly Supervised Localization for Fine-Grained Object Retrieval |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Ceteris paribus majority for social ranking |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Chinese Poetry Generation with a Working Memory Model |
❌ |
✅ |
❌ |
✅ |
❌ |
❌ |
✅ |
3 |
| Classification Transfer for Qualitative Reasoning Problems |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Co-attention CNNs for Unsupervised Object Co-segmentation |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Co-training Embeddings of Knowledge Graphs and Entity Descriptions for Cross-lingual Entity Alignment |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Coarse-to-fine Image Co-segmentation with Intra and Inter Rank Constraints |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Code Completion with Neural Attention and Pointer Networks |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Collaborative Learning for Weakly Supervised Object Detection |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Collaborative and Attentive Learning for Personalized Image Aesthetic Assessment |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Combinatorial Auctions via Machine Learning-based Preference Elicitation |
✅ |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| Combinatorial Pure Exploration with Continuous and Separable Reward Functions and Its Applications |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Combining Opinion Pooling and Evidential Updating for Multi-Agent Consensus |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Commonsense Knowledge Aware Conversation Generation with Graph Attention |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Compact-MDD: Efficiently Filtering (s)MDD Constraints with Reversible Sparse Bit-sets |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Comparing Approximate Relaxations of Envy-Freeness |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Compiling Model Representations for Querying Large ABoxes in Expressive DLs |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
❌ |
4 |
| Complementary Binary Quantization for Joint Multiple Indexing |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Complementary Learning of Word Embeddings |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Completeness-Preserving Dominance Techniques for Satisficing Planning |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
❌ |
2 |
| Complexity of Approximate Query Answering under Inconsistency in Datalog+/- |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Complexity of Scheduling Charging in the Smart Grid |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Computational Approaches for Stochastic Shortest Path on Succinct MDPs |
❌ |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
1 |
| Computational Aspects of the Preference Cores of Supermodular Two-Scenario Cooperative Games |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Computational Social Choice Meets Databases |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Computing Approximate Query Answers over Inconsistent Knowledge Bases |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Computing the Schulze Method for Large-Scale Preference Data Sets |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
❌ |
4 |
| Conflict Directed Clause Learning for Maximum Weighted Clique Problem |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Consequence-based Reasoning for Description Logics with Disjunction, Inverse Roles, Number Restrictions, and Nominals |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Constructing Narrative Event Evolutionary Graph for Script Event Prediction |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Content-Aware Hierarchical Point-of-Interest Embedding Model for Successive POI Recommendation |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Contextual Outlier Interpretation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| Convergence Analysis of Gradient Descent for Eigenvector Computation |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Convolutional Memory Blocks for Depth Data Representation Learning |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Convolutional Neural Networks based Click-Through Rate Prediction with Multiple Feature Sequences |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Core-Guided Minimal Correction Set and Core Enumeration |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Cost-Effective Active Learning for Hierarchical Multi-Label Classification |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Cost-aware Cascading Bandits |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Counterexample-Guided Data Augmentation |
❌ |
✅ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| Counterfactual Resimulation for Causal Analysis of Rule-Based Models |
✅ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| Counterplanning using Goal Recognition and Landmarks |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| CoupledCF: Learning Explicit and Implicit User-item Couplings in Recommendation for Deep Collaborative Filtering |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Cross-Domain 3D Model Retrieval via Visual Domain Adaption |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Cross-Domain Depression Detection via Harvesting Social Media |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Cross-Modality Person Re-Identification with Generative Adversarial Training |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Cross-media Multi-level Alignment with Relation Attention Network |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Cross-modal Bidirectional Translation via Reinforcement Learning |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Crowd Counting using Deep Recurrent Spatial-Aware Network |
❌ |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
4 |
| Cuckoo Feature Hashing: Dynamic Weight Sharing for Sparse Analytics |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Curriculum Adversarial Training |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Curriculum Learning for Natural Answer Generation |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Customer Sharing in Economic Networks with Costs |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Cutting the Software Building Efforts in Continuous Integration by Semi-Supervised Online AUC Optimization |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| DEL: Deep Embedding Learning for Efficient Image Segmentation |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| DELF: A Dual-Embedding based Deep Latent Factor Model for Recommendation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| DMC: A Distributed Model Counter |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| DRPose3D: Depth Ranking in 3D Human Pose Estimation |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| De-biasing Covariance-Regularized Discriminant Analysis |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Deep Attribute Guided Representation for Heterogeneous Face Recognition |
❌ |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
5 |
| Deep Attributed Network Embedding |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Deep CNN Denoiser and Multi-layer Neighbor Component Embedding for Face Hallucination |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Deep Convolutional Neural Networks with Merge-and-Run Mappings |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Deep Discrete Prototype Multilabel Learning |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Deep Joint Semantic-Embedding Hashing |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Deep Learning Based Multi-modal Addressee Recognition in Visual Scenes with Utterances |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Deep Learning for Multi-Facility Location Mechanism Design |
❌ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
2 |
| Deep Multi-View Concept Learning |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Deep Propagation Based Image Matting |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Deep Reasoning with Knowledge Graph for Social Relationship Understanding |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Deep Reinforcement Learning in Ice Hockey for Context-Aware Player Evaluation |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Deep Text Classification Can be Fooled |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Deep View-Aware Metric Learning for Person Re-Identification |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Deep into Hypersphere: Robust and Unsupervised Anomaly Discovery in Dynamic Networks |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| DeepTravel: a Neural Network Based Travel Time Estimation Model with Auxiliary Supervision |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Deeply-Supervised CNN Model for Action Recognition with Trainable Feature Aggregation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| DehazeGAN: When Image Dehazing Meets Differential Programming |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Democratic Fair Allocation of Indivisible Goods |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Densely Cascaded Shadow Detection Network via Deeply Supervised Parallel Fusion |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Densely Connected CNN with Multi-scale Feature Attention for Text Classification |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Deontic Sensors |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
3 |
| Descriptive Clustering: ILP and CP Formulations with Applications |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Designing the Game to Play: Optimizing Payoff Structure in Security Games |
✅ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| Deterministic Binary Filters for Convolutional Neural Networks |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Differentiable Submodular Maximization |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Differential Equations for Modeling Asynchronous Algorithms |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Differentiated Attentive Representation Learning for Sentence Classification |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Dilated Convolutional Network with Iterative Optimization for Continuous Sign Language Recognition |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Discrete Factorization Machines for Fast Feature-based Recommendation |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Discrete Interventions in Hawkes Processes with Applications in Invasive Species Management |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
✅ |
3 |
| Discrete Network Embedding |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Distance Metric Facilitated Transportation between Heterogeneous Domains |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Distortion-aware CNNs for Spherical Images |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Distributed Pareto Optimization for Subset Selection |
✅ |
❌ |
✅ |
❌ |
❌ |
✅ |
✅ |
4 |
| Distributed Primal-Dual Optimization for Non-uniformly Distributed Data |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Distributed Self-Paced Learning in Alternating Direction Method of Multipliers |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Divide and Conquer: Towards Faster Pseudo-Boolean Solving |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Do not Lose the Details: Reinforced Representation Learning for High Performance Visual Tracking |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Does Tail Label Help for Large-Scale Multi-Label Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Domain Adaptation via Tree Kernel Based Maximum Mean Discrepancy for User Consumption Intention Identification |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Double Auctions in Markets for Multiple Kinds of Goods |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Doubly Aligned Incomplete Multi-view Clustering |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders |
❌ |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
4 |
| Dual Adversarial Networks for Zero-shot Cross-media Retrieval |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Dual Conditional GANs for Face Aging and Rejuvenation |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| DyNMF: Role Analytics in Dynamic Social Networks |
✅ |
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✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Dynamic Bayesian Logistic Matrix Factorization for Recommendation with Implicit Feedback |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Dynamic Fair Division Problem with General Valuations |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
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1 |
| Dynamic Hypergraph Structure Learning |
✅ |
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❌ |
❌ |
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3 |
| Dynamic Network Embedding : An Extended Approach for Skip-gram based Network Embedding |
❌ |
❌ |
✅ |
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❌ |
❌ |
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2 |
| Dynamic Resource Routing using Real-Time Dynamic Programming |
✅ |
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❌ |
✅ |
❌ |
✅ |
3 |
| Dynamically Forming a Group of Human Forecasters and Machine Forecaster for Forecasting Economic Indicators |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Dynamically Hierarchy Revolution: DirNet for Compressing Recurrent Neural Network on Mobile Devices |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| EZLearn: Exploiting Organic Supervision in Automated Data Annotation |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Effect-Abstraction Based Relaxation for Linear Numeric Planning |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Efficient Adaptive Online Learning via Frequent Directions |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Efficient Attributed Network Embedding via Recursive Randomized Hashing |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Efficient Computation of Approximate Equilibria in Discrete Colonel Blotto Games |
✅ |
✅ |
❌ |
❌ |
✅ |
❌ |
✅ |
4 |
| Efficient DNN Neuron Pruning by Minimizing Layer-wise Nonlinear Reconstruction Error |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Efficient Localized Inference for Large Graphical Models |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Efficient Pruning of Large Knowledge Graphs |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Efficient Symbolic Integration for Probabilistic Inference |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
3 |
| Egalitarian Committee Scoring Rules |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| ElimiNet: A Model for Eliminating Options for Reading Comprehension with Multiple Choice Questions |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Embracing Change by Abstraction Materialization Maintenance for Large ABoxes |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Emergency Response Optimization using Online Hybrid Planning |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
✅ |
2 |
| Empirical Analysis of Foundational Distinctions in Linked Open Data |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Energy-efficient Amortized Inference with Cascaded Deep Classifiers |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Enhanced-alignment Measure for Binary Foreground Map Evaluation |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Enhancing Existential Rules by Closed-World Variables |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Enhancing Semantic Representations of Bilingual Word Embeddings with Syntactic Dependencies |
❌ |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
4 |
| Ensemble Neural Relation Extraction with Adaptive Boosting |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Ensemble Soft-Margin Softmax Loss for Image Classification |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Episodic Memory Deep Q-Networks |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Equilibrium Behavior in Competing Dynamic Matching Markets |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Estimating Latent People Flow without Tracking Individuals |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Estimation with Incomplete Data: The Linear Case |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Evaluating Brush Movements for Chinese Calligraphy: A Computer Vision Based Approach |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Event Factuality Identification via Generative Adversarial Networks with Auxiliary Classification |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Evolving AI from Research to Real Life – Some Challenges and Suggestions |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Ex-post IR Dynamic Auctions with Cost-per-Action Payments |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Exact Algorithms and Complexity of Kidney Exchange |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Exact Low Tubal Rank Tensor Recovery from Gaussian Measurements |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
3 |
| Expectation Optimization with Probabilistic Guarantees in POMDPs with Discounted-Sum Objectives |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Experienced Optimization with Reusable Directional Model for Hyper-Parameter Search |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Experimental Design under the Bradley-Terry Model |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Explainable Certain Answers |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Explaining Multi-Criteria Decision Aiding Models with an Extended Shapley Value |
❌ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
2 |
| Exploiting Graph Regularized Multi-dimensional Hawkes Processes for Modeling Events with Spatio-temporal Characteristics |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Exploiting Images for Video Recognition with Hierarchical Generative Adversarial Networks |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Exploiting Justifications for Lazy Grounding of Answer Set Programs |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Exploiting POI-Specific Geographical Influence for Point-of-Interest Recommendation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Exploration by Distributional Reinforcement Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Exploring Encoder-Decoder Model for Distant Supervised Relation Extraction |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Extended Increasing Cost Tree Search for Non-Unit Cost Domains |
✅ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| Extracting Action Sequences from Texts Based on Deep Reinforcement Learning |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Extracting Job Title Hierarchy from Career Trajectories: A Bayesian Perspective |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Extracting Privileged Information from Untagged Corpora for Classifier Learning |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| FISH-MML: Fisher-HSIC Multi-View Metric Learning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Facility Reallocation on the Line |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Fact Checking via Evidence Patterns |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Fair Division Under Cardinality Constraints |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Fast Compliance Checking in an OWL2 Fragment |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Fast Cross-Validation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Fast Factorization-free Kernel Learning for Unlabeled Chunk Data Streams |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Fast Model Identification via Physics Engines for Data-Efficient Policy Search |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Fast Vehicle Identification in Surveillance via Ranked Semantic Sampling Based Embedding |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Faster Training Algorithms for Structured Sparsity-Inducing Norm |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Feature Enhancement in Attention for Visual Question Answering |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Feature Hashing for Network Representation Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Feature Integration with Adaptive Importance Maps for Visual Tracking |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Features, Projections, and Representation Change for Generalized Planning |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
❌ |
2 |
| Finding Communities with Hierarchical Semantics by Distinguishing General and Specialized topics |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Finding Frequent Entities in Continuous Data |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Fine-grained Image Classification by Visual-Semantic Embedding |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Finite Model Reasoning in Hybrid Classes of Existential Rules |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Finite Sample Analysis of LSTD with Random Projections and Eligibility Traces |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| First-Order Rewritability of Frontier-Guarded Ontology-Mediated Queries |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Fostering Cooperation in Structured Populations Through Local and Global Interference Strategies |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| From Conjunctive Queries to Instance Queries in Ontology-Mediated Querying |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| From Pixels to Objects: Cubic Visual Attention for Visual Question Answering |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| From Reality to Perception: Genre-Based Neural Image Style Transfer |
❌ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
2 |
| From the Periphery to the Core: Information Brokerage in an Evolving Network |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Functional Partitioning of Ontologies for Natural Language Query Completion in Question Answering Systems |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| GELU-Net: A Globally Encrypted, Locally Unencrypted Deep Neural Network for Privacy-Preserved Learning |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
❌ |
3 |
| Galaxy Network Embedding: A Hierarchical Community Structure Preserving Approach |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Game Description Language and Dynamic Epistemic Logic Compared |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Generalization Bounds for Regularized Pairwise Learning |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Generalization-Aware Structured Regression towards Balancing Bias and Variance |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Generating Adversarial Examples with Adversarial Networks |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Generating Thematic Chinese Poetry using Conditional Variational Autoencoders with Hybrid Decoders |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| Generative Adversarial Positive-Unlabelled Learning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Generative Warfare Nets: Ensemble via Adversaries and Collaborators |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| GeoMAN: Multi-level Attention Networks for Geo-sensory Time Series Prediction |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Geometric Enclosing Networks |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Get The Point of My Utterance! Learning Towards Effective Responses with Multi-Head Attention Mechanism |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| Globally Optimized Mutual Influence Aware Ranking in E-Commerce Search |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Goal-Based Collective Decisions: Axiomatics and Computational Complexity |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Goal-HSVI: Heuristic Search Value Iteration for Goal POMDPs |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Goal-Oriented Chatbot Dialog Management Bootstrapping with Transfer Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| GraspNet: An Efficient Convolutional Neural Network for Real-time Grasp Detection for Low-powered Devices |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Grouping Attribute Recognition for Pedestrian with Joint Recurrent Learning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| H-Net: Neural Network for Cross-domain Image Patch Matching |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| HCR-Net: A Hybrid of Classification and Regression Network for Object Pose Estimation |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| HST-LSTM: A Hierarchical Spatial-Temporal Long-Short Term Memory Network for Location Prediction |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Harnessing Synthesized Abstraction Images to Improve Facial Attribute Recognition |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Hashing over Predicted Future Frames for Informed Exploration of Deep Reinforcement Learning |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Hashtag2Vec: Learning Hashtag Representation with Relational Hierarchical Embedding Model |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Hermitian Co-Attention Networks for Text Matching in Asymmetrical Domains |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Hi-Fi: Hierarchical Feature Integration for Skeleton Detection |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Hierarchical Active Learning with Group Proportion Feedback |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Hierarchical Electricity Time Series Forecasting for Integrating Consumption Patterns Analysis and Aggregation Consistency |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Hierarchical Expertise Level Modeling for User Specific Contrastive Explanations |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Hierarchical Graph Structure Learning for Multi-View 3D Model Retrieval |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| High Resolution Feature Recovering for Accelerating Urban Scene Parsing |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| High-Fidelity Simulated Players for Interactive Narrative Planning |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| High-Order Co-Clustering via Strictly Orthogonal and Symmetric L1-Norm Nonnegative Matrix Tri-Factorization |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| High-dimensional Similarity Learning via Dual-sparse Random Projection |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Horn-Rewritability vs PTime Query Evaluation in Ontology-Mediated Querying |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Human Motion Generation via Cross-Space Constrained Sampling |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Hybrid Approach of Relation Network and Localized Graph Convolutional Filtering for Breast Cancer Subtype Classification |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| INITIATOR: Noise-contrastive Estimation for Marked Temporal Point Process |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Image Cationing with Visual-Semantic LSTM |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Image-level to Pixel-wise Labeling: From Theory to Practice |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Implicit Non-linear Similarity Scoring for Recognizing Unseen Classes |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Impression Allocation for Combating Fraud in E-commerce Via Deep Reinforcement Learning with Action Norm Penalty |
✅ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| Improving Deep Neural Network Sparsity through Decorrelation Regularization |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Improving Entity Recommendation with Search Log and Multi-Task Learning |
✅ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
3 |
| Improving Implicit Recommender Systems with View Data |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Improving Information Centrality of a Node in Complex Networks by Adding Edges |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Improving Local Search for Minimum Weight Vertex Cover by Dynamic Strategies |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Improving Low Resource Named Entity Recognition using Cross-lingual Knowledge Transfer |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Improving Maximum Likelihood Estimation of Temporal Point Process via Discriminative and Adversarial Learning |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| IncepText: A New Inception-Text Module with Deformable PSROI Pooling for Multi-Oriented Scene Text Detection |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Incomplete Multi-View Weak-Label Learning |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| Inconsistency Measures for Repair Semantics in OBDA |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
❌ |
4 |
| Inconsistency-Tolerant Ontology-Based Data Access Revisited: Taking Mappings into Account |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Incrementally Grounding Expressions for Spatial Relations between Objects |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Inferring Temporal Knowledge for Near-Periodic Recurrent Events |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Instance Weighting with Applications to Cross-domain Text Classification via Trading off Sample Selection Bias and Variance |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Integrating Demand Response and Renewable Energy In Wholesale Market |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Integrative Network Embedding via Deep Joint Reconstruction |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Interactive Optimal Teaching with Unknown Learners |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Interactive Robot Transition Repair With SMT |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Interactive, Collaborative Robots: Challenges and Opportunities |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Interpretable Adversarial Perturbation in Input Embedding Space for Text |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Interpretable Drug Target Prediction Using Deep Neural Representation |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Interpretable Recommendation via Attraction Modeling: Learning Multilevel Attractiveness over Multimodal Movie Contents |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Iterative Metric Learning for Imbalance Data Classification |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| JUMP: a Jointly Predictor for User Click and Dwell Time |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Joint Extraction of Entities and Relations Based on a Novel Graph Scheme |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Joint Generative Moment-Matching Network for Learning Structural Latent Code |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Joint Learning Embeddings for Chinese Words and their Components via Ladder Structured Networks |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Joint Learning of Phenotypes and Diagnosis-Medication Correspondence via Hidden Interaction Tensor Factorization |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Joint Posterior Revision of NLP Annotations via Ontological Knowledge |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| Jointly Learning Network Connections and Link Weights in Spiking Neural Networks |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Jumper: Learning When to Make Classification Decision in Reading |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Keeping in Touch with Collaborative UAVs: A Deep Reinforcement Learning Approach |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Knowledge-Embedded Representation Learning for Fine-Grained Image Recognition |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Knowledge-Guided Agent-Tactic-Aware Learning for StarCraft Micromanagement |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| LC-RNN: A Deep Learning Model for Traffic Speed Prediction |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| LP Heuristics over Conjunctions: Compilation, Convergence, Nogood Learning |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| LSTM Networks for Online Cross-Network Recommendations |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| LTL Realizability via Safety and Reachability Games |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Label Embedding Based on Multi-Scale Locality Preservation |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Label Enhancement for Label Distribution Learning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Label-Sensitive Task Grouping by Bayesian Nonparametric Approach for Multi-Task Multi-Label Learning |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Language to Action: Towards Interactive Task Learning with Physical Agents |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Layered Optical Flow Estimation Using a Deep Neural Network with a Soft Mask |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Leadership in Singleton Congestion Games |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Learning Conceptual Space Representations of Interrelated Concepts |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Learning Deep Unsupervised Binary Codes for Image Retrieval |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Learning Environmental Calibration Actions for Policy Self-Evolution |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Learning Optimal Decision Trees with SAT |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Learning Out-of-Vocabulary Words in Intelligent Personal Agents |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Learning Robust Gaussian Process Regression for Visual Tracking |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Learning SMT(LRA) Constraints using SMT Solvers |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Learning Sequential Correlation for User Generated Textual Content Popularity Prediction |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Learning Tag Dependencies for Sequence Tagging |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Learning Transferable UAV for Forest Visual Perception |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Learning Unmanned Aerial Vehicle Control for Autonomous Target Following |
❌ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
2 |
| Learning Word Vectors with Linear Constraints: A Matrix Factorization Approach |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
3 |
| Learning to Converse with Noisy Data: Generation with Calibration |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| Learning to Design Games: Strategic Environments in Reinforcement Learning |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Learning to Explain Ambiguous Headlines of Online News |
❌ |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
4 |
| Learning to Give Feedback: Modeling Attributes Affecting Argument Persuasiveness in Student Essays |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Learning to Infer Final Plans in Human Team Planning |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Learning to Recognize Transient Sound Events using Attentional Supervision |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Learning to Write Stylized Chinese Characters by Reading a Handful of Examples |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Learning with Adaptive Neighbors for Image Clustering |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Leveraging Latent Label Distributions for Partial Label Learning |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Leveraging Qualitative Reasoning to Improve SFL |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Lifelong Domain Word Embedding via Meta-Learning |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Lifted Filtering via Exchangeable Decomposition |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Lightweight Label Propagation for Large-Scale Network Data |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Line separation from topographic maps using regional color and spatial information |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Listen, Think and Listen Again: Capturing Top-down Auditory Attention for Speaker-independent Speech Separation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Live Face Verification with Multiple Instantialized Local Homographic Parameterization |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Local Minima, Heavy Tails, and Search Effort for GBFS |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Localized Incomplete Multiple Kernel k-means |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Long-Term Human Motion Prediction by Modeling Motion Context and Enhancing Motion Dynamics |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| MASTER: across Multiple social networks, integrate Attribute and STructure Embedding for Reconciliation |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| MEGAN: Mixture of Experts of Generative Adversarial Networks for Multimodal Image Generation |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| MEnet: A Metric Expression Network for Salient Object Segmentation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| MIXGAN: Learning Concepts from Different Domains for Mixture Generation |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| MUSCAT: Multi-Scale Spatio-Temporal Learning with Application to Climate Modeling |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| Machine Learning and Constraint Programming for Relational-To-Ontology Schema Mapping |
❌ |
✅ |
❌ |
✅ |
✅ |
❌ |
✅ |
4 |
| Managing Communication Costs under Temporal Uncertainty |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Markov Random Neural Fields for Face Sketch Synthesis |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| Master-Slave Curriculum Design for Reinforcement Learning |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Matrix completion with Preference Ranking for Top-N Recommendation |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Maximin Share Allocations on Cycles |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Medical Concept Embedding with Time-Aware Attention |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Memory Attention Networks for Skeleton-based Action Recognition |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Meta-Level Control of Anytime Algorithms with Online Performance Prediction |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Metadata-dependent Infinite Poisson Factorization for Efficiently Modelling Sparse and Large Matrices in Recommendation |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Methods for off-line/on-line optimization under uncertainty |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Minimax-Regret Querying on Side Effects for Safe Optimality in Factored Markov Decision Processes |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Minimizing Adaptive Regret with One Gradient per Iteration |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Mitigating the Effect of Out-of-Vocabulary Entity Pairs in Matrix Factorization for KB Inference |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Mixed Causal Structure Discovery with Application to Prescriptive Pricing |
✅ |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
2 |
| Mixed Link Networks |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Mixture of GANs for Clustering |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
3 |
| Model Checking Probabilistic Epistemic Logic for Probabilistic Multiagent Systems |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| Model-free, Model-based, and General Intelligence |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Modeling Contemporaneous Basket Sequences with Twin Networks for Next-Item Recommendation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Multi-Agent Path Finding with Deadlines |
✅ |
❌ |
❌ |
❌ |
✅ |
✅ |
✅ |
4 |
| Multi-Label Co-Training |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Multi-Level Metric Learning via Smoothed Wasserstein Distance |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Multi-Level Policy and Reward Reinforcement Learning for Image Captioning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Multi-Task Clustering with Model Relation Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Multi-Turn Video Question Answering via Multi-Stream Hierarchical Attention Context Network |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| Multi-agent Epistemic Planning with Common Knowledge |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
❌ |
3 |
| Multi-modal Circulant Fusion for Video-to-Language and Backward |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Multi-modal Predicate Identification using Dynamically Learned Robot Controllers |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Multi-modal Sentence Summarization with Modality Attention and Image Filtering |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Multi-modality Sensor Data Classification with Selective Attention |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Multi-scale and Discriminative Part Detectors Based Features for Multi-label Image Classification |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Multi-task Layout Analysis for Historical Handwritten Documents Using Fully Convolutional Networks |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Multinomial Logit Bandit with Linear Utility Functions |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Multiway Attention Networks for Modeling Sentence Pairs |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Multiwinner Voting with Fairness Constraints |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Multiwinner Voting with Restricted Admissible Sets: Complexity and Strategyproofness |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| NPE: Neural Personalized Embedding for Collaborative Filtering |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Negotiation Strategies for Agents with Ordinal Preferences |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Network Approximation using Tensor Sketching |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| NeuCast: Seasonal Neural Forecast of Power Grid Time Series |
✅ |
✅ |
❌ |
✅ |
✅ |
❌ |
✅ |
5 |
| NeuRec: On Nonlinear Transformation for Personalized Ranking |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Neural Framework for Joint Evolution Modeling of User Feedback and Social Links in Dynamic Social Networks |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Neural Machine Translation with Key-Value Memory-Augmented Attention |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Neural Networks Incorporating Unlabeled and Partially-labeled Data for Cross-domain Chinese Word Segmentation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Neural Networks for Predicting Algorithm Runtime Distributions |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Neural User Response Generator: Fake News Detection with Collective User Intelligence |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| New Balanced Active Learning Model and Optimization Algorithm |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Non-decreasing Payment Rules for Combinatorial Auctions |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Non-translational Alignment for Multi-relational Networks |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Nonrigid Points Alignment with Soft-weighted Selection |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Novel Algorithms for Abstract Dialectical Frameworks based on Complexity Analysis of Subclasses and SAT Solving |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| Novel Structural Parameters for Acyclic Planning Using Tree Embeddings |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| On Concept Forgetting in Description Logics with Qualified Number Restrictions |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| On Fair Price Discrimination in Multi-Unit Markets |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| On Q-learning Convergence for Non-Markov Decision Processes |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| On Robust Trimming of Bayesian Network Classifiers |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| On Whom Should I Perform this Lab Test Next? An Active Feature Elicitation Approach |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| On a Scientific Discipline (Once) Named AI |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| On the Complexity of Chore Division |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| On the Conditional Logic of Simulation Models |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| On the Convergence Properties of a K-step Averaging Stochastic Gradient Descent Algorithm for Nonconvex Optimization |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| On the Cost Complexity of Crowdsourcing |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| On the Efficiency of Data Collection for Crowdsourced Classification |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| On the Satisfiability Threshold of Random Community-Structured SAT |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| One "Ruler" for All Languages: Multi-Lingual Dialogue Evaluation with Adversarial Multi-Task Learning |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Online Continuous-Time Tensor Factorization Based on Pairwise Interactive Point Processes |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Online Deep Learning: Learning Deep Neural Networks on the Fly |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Online Heterogeneous Transfer Metric Learning |
✅ |
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✅ |
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✅ |
❌ |
✅ |
4 |
| Online Kernel Selection via Incremental Sketched Kernel Alignment |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Online Pricing for Revenue Maximization with Unknown Time Discounting Valuations |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Online, Interactive User Guidance for High-dimensional, Constrained Motion Planning |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Open Loop Execution of Tree-Search Algorithms |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Open-Ended Long-form Video Question Answering via Adaptive Hierarchical Reinforced Networks |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Opinion Diffusion and Campaigning on Society Graphs |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Optimal Bidding Strategy for Brand Advertising |
✅ |
❌ |
❌ |
✅ |
✅ |
❌ |
✅ |
4 |
| Optimal Cruiser-Drone Traffic Enforcement Under Energy Limitation |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Optimization based Layer-wise Magnitude-based Pruning for DNN Compression |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Organizing Experience: a Deeper Look at Replay Mechanisms for Sample-Based Planning in Continuous State Domains |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Outer Product-based Neural Collaborative Filtering |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| PEORL: Integrating Symbolic Planning and Hierarchical Reinforcement Learning for Robust Decision-Making |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| PLASTIC: Prioritize Long and Short-term Information in Top-n Recommendation using Adversarial Training |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Pairwise Liquid Democracy |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Pairwise-Ranking based Collaborative Recurrent Neural Networks for Clinical Event Prediction |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Parameterised Queries and Lifted Query Answering |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Patent Litigation Prediction: A Convolutional Tensor Factorization Approach |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Path Evaluation and Centralities in Weighted Graphs - An Axiomatic Approach |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Payoff Control in the Iterated Prisoner's Dilemma |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Periodic-CRN: A Convolutional Recurrent Model for Crowd Density Prediction with Recurring Periodic Patterns |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| Personality-Aware Personalized Emotion Recognition from Physiological Signals |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Phrase Table as Recommendation Memory for Neural Machine Translation |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Planning and Learning with Stochastic Action Sets |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Planning in Factored State and Action Spaces with Learned Binarized Neural Network Transition Models |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
❌ |
4 |
| Point Set Registration for Unsupervised Bilingual Lexicon Induction |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Policy Optimization with Second-Order Advantage Information |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Positive and Unlabeled Learning for Detecting Software Functional Clones with Adversarial Training |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Positive and Unlabeled Learning via Loss Decomposition and Centroid Estimation |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Possibilistic ASP Base Revision by Certain Input |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Power-law Distribution Aware Trust Prediction |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| PredCNN: Predictive Learning with Cascade Convolutions |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Predicting Activity and Location with Multi-task Context Aware Recurrent Neural Network |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Predicting Complex Activities from Ongoing Multivariate Time Series |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Predicting the Spatio-Temporal Evolution of Chronic Diseases in Population with Human Mobility Data |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Preference Orders on Families of Sets - When Can Impossibility Results Be Avoided? |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Preventing Disparate Treatment in Sequential Decision Making |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Probabilistic Verification for Obviously Strategyproof Mechanisms |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Probabilistic bipolar abstract argumentation frameworks: complexity results |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Progressive Blockwise Knowledge Distillation for Neural Network Acceleration |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Progressive Generative Hashing for Image Retrieval |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Pseudo-Boolean Constraints from a Knowledge Representation Perspective |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Quality Matters: Assessing cQA Pair Quality via Transductive Multi-View Learning |
❌ |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
2 |
| Quantifying Algorithmic Improvements over Time |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Quantum Divide-and-Conquer Anchoring for Separable Non-negative Matrix Factorization |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Query Answering in Propositional Circumscription |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| R-SVM+: Robust Learning with Privileged Information |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Ranking Preserving Nonnegative Matrix Factorization |
❌ |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
5 |
| Reachability Analysis of Deep Neural Networks with Provable Guarantees |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| Real-time Traffic Pattern Analysis and Inference with Sparse Video Surveillance Information |
✅ |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
2 |
| Reasoning about Betweenness and RCC8 Constraints in Qualitative Conceptual Spaces |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Reasoning about Consensus when Opinions Diffuse through Majority Dynamics |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Recommendation with Multi-Source Heterogeneous Information |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Recurrent Collaborative Filtering for Unifying General and Sequential Recommender |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Recurrent Deep Multiagent Q-Learning for Autonomous Brokers in Smart Grid |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Redividing the Cake |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Redundancy-resistant Generative Hashing for Image Retrieval |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Refine or Represent: Residual Networks with Explicit Channel-wise Configuration |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Regularizing Deep Neural Networks with an Ensemble-based Decorrelation Method |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Reinforced Mnemonic Reader for Machine Reading Comprehension |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Reinforced Self-Attention Network: a Hybrid of Hard and Soft Attention for Sequence Modeling |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Reinforcing Coherence for Sequence to Sequence Model in Dialogue Generation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Relevance in Structured Argumentation |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Reliable Multi-class Classification based on Pairwise Epistemic and Aleatoric Uncertainty |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Replicating Active Appearance Model by Generator Network |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Representation Learning for Scene Graph Completion via Jointly Structural and Visual Embedding |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Representing Urban Functions through Zone Embedding with Human Mobility Patterns |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Request-and-Reverify: Hierarchical Hypothesis Testing for Concept Drift Detection with Expensive Labels |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Rethinking Diversified and Discriminative Proposal Generation for Visual Grounding |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Reverse Engineering Queries in Ontology-Enriched Systems: The Case of Expressive Horn Description Logic Ontologies |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Robot Task Interruption by Learning to Switch Among Multiple Models |
✅ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
3 |
| Robust Auto-Weighted Multi-View Clustering |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Robust Face Sketch Synthesis via Generative Adversarial Fusion of Priors and Parametric Sigmoid |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Robust Feature Selection on Incomplete Data |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Robust Graph Dimensionality Reduction |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| Robust Multi-view Learning via Half-quadratic Minimization |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Robust Norm Emergence by Revealing and Reasoning about Context: Socially Intelligent Agents for Enhancing Privacy |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| R³Net: Recurrent Residual Refinement Network for Saliency Detection |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| SDMCH: Supervised Discrete Manifold-Embedded Cross-Modal Hashing |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| SSR-Net: A Compact Soft Stagewise Regression Network for Age Estimation |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| SafeNet: Scale-normalization and Anchor-based Feature Extraction Network for Person Re-identification |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Salient Object Detection by Lossless Feature Reflection |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Same Representation, Different Attentions: Shareable Sentence Representation Learning from Multiple Tasks |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Sampling for Approximate Bipartite Network Projection |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Scalable Initial State Interdiction for Factored MDPs |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Scalable Multiplex Network Embedding |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Scalable Probabilistic Causal Structure Discovery |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Scalable Rule Learning via Learning Representation |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Scanpath Prediction for Visual Attention using IOR-ROI LSTM |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Scheduled Policy Optimization for Natural Language Communication with Intelligent Agents |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Scheduling under Uncertainty: A Query-based Approach |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Seeking Practical CDCL Insights from Theoretical SAT Benchmarks |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| SegBot: A Generic Neural Text Segmentation Model with Pointer Network |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Self-Adaptive Double Bootstrapped DDPG |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Self-Representative Manifold Concept Factorization with Adaptive Neighbors for Clustering |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Self-Supervised Deep Low-Rank Assignment Model for Prototype Selection |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Self-weighted Multiple Kernel Learning for Graph-based Clustering and Semi-supervised Classification |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
3 |
| Semantic Locality-Aware Deformable Network for Clothing Segmentation |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Semantic Structure-based Unsupervised Deep Hashing |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Semi-Supervised Multi-Modal Learning with Incomplete Modalities |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Semi-Supervised Optimal Margin Distribution Machines |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Semi-Supervised Optimal Transport for Heterogeneous Domain Adaptation |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| SentiGAN: Generating Sentimental Texts via Mixture Adversarial Networks |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Sequence Selection by Pareto Optimization |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Sequential Recommender System based on Hierarchical Attention Networks |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Service Exchange Problem |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Sharing Residual Units Through Collective Tensor Factorization To Improve Deep Neural Networks |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Show and Tell More: Topic-Oriented Multi-Sentence Image Captioning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Show, Observe and Tell: Attribute-driven Attention Model for Image Captioning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Siamese CNN-BiLSTM Architecture for 3D Shape Representation Learning |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Similarity-Based Reasoning, Raven's Matrices, and General Intelligence |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Simpler and Faster Algorithm for Checking the Dynamic Consistency of Conditional Simple Temporal Networks |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
❌ |
4 |
| Simultaneous Clustering and Ranking from Pairwise Comparisons |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Single-Shot Epistemic Logic Program Solving |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Small Undecidable Problems in Epistemic Planning |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Small-Variance Asymptotics for Nonparametric Bayesian Overlapping Stochastic Blockmodels |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Smarter Response with Proactive Suggestion: A New Generative Neural Conversation Paradigm |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Social Media based Simulation Models for Understanding Disease Dynamics |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Socially Motivated Partial Cooperation in Multi-agent Local Search |
✅ |
✅ |
❌ |
❌ |
✅ |
❌ |
✅ |
4 |
| Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Solving (Weighted) Partial MaxSAT by Dynamic Local Search for SAT |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Solving Exist-Random Quantified Stochastic Boolean Satisfiability via Clause Selection |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| Solving Patrolling Problems in the Internet Environment |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Solving Separable Nonsmooth Problems Using Frank-Wolfe with Uniform Affine Approximations |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Spatio-Temporal Check-in Time Prediction with Recurrent Neural Network based Survival Analysis |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Spectral Feature Scaling Method for Supervised Dimensionality Reduction |
✅ |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
5 |
| StackDRL: Stacked Deep Reinforcement Learning for Fine-grained Visual Categorization |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Stochastic Anytime Search for Bounding Marginal MAP |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Stochastic Fractional Hamiltonian Monte Carlo |
✅ |
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❌ |
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3 |
| Stochastic Second-Order Method for Large-Scale Nonconvex Sparse Learning Models |
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✅ |
❌ |
❌ |
❌ |
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3 |
| Strategyproof and Fair Matching Mechanism for Union of Symmetric M-convex Constraints |
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❌ |
❌ |
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2 |
| Stratification for Constraint-Based Multi-Objective Combinatorial Optimization |
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❌ |
❌ |
✅ |
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4 |
| Stratified Negation in Limit Datalog Programs |
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❌ |
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❌ |
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1 |
| Structured Inference for Recurrent Hidden Semi-markov Model |
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✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Student-t Variational Autoencoder for Robust Density Estimation |
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❌ |
✅ |
✅ |
✅ |
❌ |
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4 |
| Submodularity-Inspired Data Selection for Goal-Oriented Chatbot Training Based on Sentence Embeddings |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Summarizing Source Code with Transferred API Knowledge |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Symbolic Synthesis of Fault-Tolerance Ratios in Parameterised Multi-Agent Systems |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Synthesis of Controllable Nash Equilibria in Quantitative
Objective Game |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Synthesizing Pattern Programs from Examples |
✅ |
✅ |
❌ |
❌ |
✅ |
❌ |
❌ |
3 |
| Tag-based Weakly-supervised Hashing for Image Retrieval |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Task-Guided and Semantic-Aware Ranking for Academic Author-Paper Correlation Inference |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Teaching Machines to Ask Questions |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Teaching Semi-Supervised Classifier via Generalized Distillation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Temporal Belief Memory: Imputing Missing Data during RNN Training |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| Text Emotion Distribution Learning via Multi-Task Convolutional Neural Network |
❌ |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
4 |
| The Complexity of Limited Belief Reasoning—The Quantifier-Free Case |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| The Facets of Artificial Intelligence: A Framework to Track the Evolution of AI |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| The FastMap Algorithm for Shortest Path Computations |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| The Price of Usability: Designing Operationalizable Strategies for Security Games |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| The Promise and Perils of Myopia in Dynamic Pricing With Censored Information |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Think Globally, Embed Locally --- Locally Linear Meta-embedding of Words |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Three-Head Neural Network Architecture for Monte Carlo Tree Search |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Time-evolving Text Classification with Deep Neural Networks |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Topic-to-Essay Generation with Neural Networks |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Toward Designing Convergent Deep Operator Splitting Methods for Task-specific Nonconvex Optimization |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Toward Diverse Text Generation with Inverse Reinforcement Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Towards Better Representation Learning for Personalized News Recommendation: a Multi-Channel Deep Fusion Approach |
❌ |
✅ |
❌ |
✅ |
❌ |
❌ |
✅ |
3 |
| Towards Consumer-Empowering Artificial Intelligence |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Towards Enabling Binary Decomposition for Partial Label Learning |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Towards Generalized and Efficient Metric Learning on Riemannian Manifold |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Towards Reading Comprehension for Long Documents |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Tractable (Simple) Contests |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Traffic Light Scheduling, Value of Time, and Incentives |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Trajectory-User Linking via Variational AutoEncoder |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Transformable Convolutional Neural Network for Text Classification |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Transition-based Adversarial Network for Cross-lingual Aspect Extraction |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Translating Embeddings for Knowledge Graph Completion with Relation Attention Mechanism |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Translations as Additional Contexts for Sentence Classification |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| TreeNet: Learning Sentence Representations with Unconstrained Tree Structure |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Trembling-Hand Perfection in Extensive-Form Games with Commitment |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Tri-net for Semi-Supervised Deep Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Truthful Fair Division without Free Disposal |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Two Approaches to Ontology Aggregation Based on Axiom Weakening |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Two Sides of the Same Coin: Belief Revision and Enforcing Arguments |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| UCBoost: A Boosting Approach to Tame Complexity and Optimality for Stochastic Bandits |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Unary Integer Linear Programming with Structural Restrictions |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Uncertainty Sampling for Action Recognition via Maximizing Expected Average Precision |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Unchaining the Power of Partial Delete Relaxation, Part II: Finding Plans with Red-Black State Space Search |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Understanding Subgoal Graphs by Augmenting Contraction Hierarchies |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
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4 |
| Unifying and Merging Well-trained Deep Neural Networks for Inference Stage |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
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4 |
| Unpaired Multi-Domain Image Generation via Regularized Conditional GANs |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Unsupervised Deep Hashing via Binary Latent Factor Models for Large-scale Cross-modal Retrieval |
✅ |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| Unsupervised Disentangled Representation Learning with Analogical Relations |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Unsupervised Learning based Jump-Diffusion Process for Object Tracking in Video Surveillance |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Variable-Delay Controllability |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Variance Reduction in Black-box Variational Inference by Adaptive Importance Sampling |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Verifying Emergence of Bounded Time Properties in Probabilistic Swarm Systems |
✅ |
✅ |
❌ |
❌ |
✅ |
✅ |
✅ |
5 |
| Video Captioning with Tube Features |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| View-Volume Network for Semantic Scene Completion from a Single Depth Image |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Virtual-to-Real: Learning to Control in Visual Semantic Segmentation |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
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3 |
| Visible Thermal Person Re-Identification via Dual-Constrained Top-Ranking |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Visual Data Synthesis via GAN for Zero-Shot Video Classification |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Vocabulary Alignment for Collaborative Agents: a Study with Real-World Multilingual How-to Instructions |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Watching a Small Portion could be as Good as Watching All: Towards Efficient Video Classification |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Weakly Learning to Match Experts in Online Community |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Weakly Supervised Audio Source Separation via Spectrum Energy Preserved Wasserstein Learning |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| What Game Are We Playing? End-to-end Learning in Normal and Extensive Form Games |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| When Does Diversity of Agent Preferences Improve Outcomes in Selfish Routing? |
❌ |
❌ |
❌ |
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❌ |
❌ |
❌ |
0 |
| When Image Denoising Meets High-Level Vision Tasks: A Deep Learning Approach |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| When Rigging a Tournament, Let Greediness Blind You |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Where Have You Been? Inferring Career Trajectory from Academic Social Network |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
❌ |
2 |
| Where to Prune: Using LSTM to Guide End-to-end Pruning |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Winning a Tournament by Any Means Necessary |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Your Tweets Reveal What You Like: Introducing Cross-media Content Information into Multi-domain Recommendation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Z-Transforms and its Inference on Partially Observable Point Processes |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Zero Shot Learning via Low-rank Embedded Semantic AutoEncoder |
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✅ |
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❌ |
❌ |
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3 |