| 10,000+ Times Accelerated Robust Subset Selection |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
❌ |
4 |
| A Bayesian Approach to Perceptual 3D Object-Part Decomposition Using Skeleton-Based Representations |
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❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| A Boosted Multi-Task Model for Pedestrian Detection with Occlusion Handling |
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✅ |
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4 |
| A Closed Form Solution to Multi-View Low-Rank Regression |
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❌ |
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3 |
| A Comparison of Qualitative and Metric Spatial Relation Models for Scene Understanding |
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❌ |
✅ |
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❌ |
✅ |
2 |
| A Complexity Approach for Core-Selecting Exchange with Multiple Indivisible Goods under Lexicographic Preferences |
✅ |
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❌ |
❌ |
1 |
| A Convex Formulation for Spectral Shrunk Clustering |
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3 |
| A Counter Abstraction Technique for the Verification of Robot Swarms |
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❌ |
✅ |
✅ |
✅ |
3 |
| A Family of Latent Variable Convex Relaxations for IBM Model 2 |
✅ |
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✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| A Faster Core Constraint Generation Algorithm for Combinatorial Auctions |
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✅ |
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✅ |
✅ |
❌ |
3 |
| A Generalization of Sleep Sets Based on Operator Sequence Redundancy |
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✅ |
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✅ |
❌ |
✅ |
3 |
| A Generalized Reduced Linear Program for Markov Decision Processes |
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❌ |
✅ |
1 |
| A Goal-Based Model of Personality for Planning-Based Narrative Generation |
❌ |
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❌ |
❌ |
❌ |
0 |
| A Graphical Representation for Games in Partition Function Form |
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❌ |
❌ |
❌ |
0 |
| A Hybrid Approach of Classifier and Clustering for Solving the Missing Node Problem |
✅ |
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✅ |
❌ |
❌ |
✅ |
✅ |
4 |
| A Local Sparse Model for Matching Problem |
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✅ |
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❌ |
✅ |
2 |
| A Logic for Reasoning About Game Strategies |
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❌ |
0 |
| A Mathematical Programming-Based Approach to Determining Objective Functions from Qualitative and Subjective Comparisons |
❌ |
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❌ |
❌ |
0 |
| A Mechanism Design Approach to Measure Awareness |
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❌ |
❌ |
0 |
| A Multi-Pass Sieve for Name Normalization |
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❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| A Multivariate Timeseries Modeling Approach to Severity of Illness Assessment and Forecasting in ICU with Sparse, Heterogeneous Clinical Data |
❌ |
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✅ |
✅ |
❌ |
❌ |
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4 |
| A Neural Probabilistic Model for Context Based Citation Recommendation |
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✅ |
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❌ |
✅ |
2 |
| A New Computational Intelligence Model for Long-Term Prediction of Solar and Geomagnetic Activity |
❌ |
❌ |
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❌ |
❌ |
❌ |
❌ |
0 |
| A New Granger Causal Model for Influence Evolution in Dynamic Social Networks: The Case of DBLP |
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❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| A Nonconvex Relaxation Approach for Rank Minimization Problems |
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❌ |
1 |
| A Nonparametric Online Model for Air Quality Prediction |
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✅ |
1 |
| A Novel Neural Topic Model and Its Supervised Extension |
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✅ |
3 |
| A Personalized Interest-Forgetting Markov Model for Recommendations |
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✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| A Planning-Based Assistance System for Setting Up a Home Theater |
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❌ |
❌ |
❌ |
0 |
| A Probabilistic Covariate Shift Assumption for Domain Adaptation |
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❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| A Probabilistic Model for Bursty Topic Discovery in Microblogs |
✅ |
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✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| A Reduction of the Elastic Net to Support Vector Machines with an Application to GPU Computing |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| A Regularized Linear Dynamical System Framework for Multivariate Time Series Analysis |
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✅ |
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❌ |
❌ |
❌ |
2 |
| A Sequence Labeling Approach to Deriving Word Variants |
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❌ |
❌ |
❌ |
❌ |
0 |
| A Simulator of Human Emergency Mobility Following Disasters: Knowledge Transfer from Big Disaster Data |
❌ |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
1 |
| A Sparse Combined Regression-Classification Formulation for Learning a Physiological Alternative to Clinical Post-Traumatic Stress Disorder Scores |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| A Stackelberg Game Approach for Incentivizing Participation in Online Educational Forums with Heterogeneous Student Population |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
✅ |
3 |
| A Stochastic Model for Detecting Heterogeneous Link Communities in Complex Networks |
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✅ |
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❌ |
❌ |
❌ |
2 |
| A Stratified Strategy for Efficient Kernel-Based Learning |
✅ |
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✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| A Succinct Conceptualization of the Foundations for a Network Organization Paradigm |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| A Syntax-Independent Approach to Forgetting in Disjunctive Logic Programs |
✅ |
✅ |
❌ |
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❌ |
❌ |
❌ |
2 |
| A Theoretical Analysis of Optimization by Gaussian Continuation |
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1 |
| A Tri-Role Topic Model for Domain-Specific Question Answering |
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❌ |
✅ |
3 |
| A Unifying Hierarchy of Valuations with Complements and Substitutes |
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❌ |
✅ |
❌ |
1 |
| AIBIRDS: The Angry Birds Artificial Intelligence Competition |
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0 |
| Absent Multiple Kernel Learning |
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✅ |
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❌ |
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✅ |
3 |
| Abstraction for Solving Large Incomplete-Information Games |
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✅ |
❌ |
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1 |
| Accelerating SAT Solving by Common Subclause Elimination |
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1 |
| Achieving Intelligence Using Prototypes, Composition, and Analogy |
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1 |
| Acquiring Speech Transcriptions Using Mismatched Crowdsourcing |
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❌ |
✅ |
2 |
| Acronym Disambiguation Using Word Embedding |
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✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Action Language BC+: Preliminary Report |
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❌ |
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❌ |
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0 |
| Actionable Combined High Utility Itemset Mining |
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✅ |
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❌ |
❌ |
✅ |
2 |
| Active Advice Seeking for Inverse Reinforcement Learning |
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1 |
| Active Learning by Learning |
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3 |
| Active Learning for Informative Projection Retrieval |
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✅ |
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1 |
| Active Manifold Learning via Gershgorin Circle Guided Sample Selection |
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3 |
| Adaptive Sampling with Optimal Cost for Class-Imbalance Learning |
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✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| AffectiveSpace 2: Enabling Affective Intuition for Concept-Level Sentiment Analysis |
✅ |
❌ |
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❌ |
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❌ |
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1 |
| Aggregating Electric Cars to Sustainable Virtual Power Plants: The Value of Flexibility in Future Electricity Markets |
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❌ |
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❌ |
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1 |
| Agnostic System Identification for Monte Carlo Planning |
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❌ |
✅ |
2 |
| Algorithm Selection via Ranking |
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✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Aligning Mixed Manifolds |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| An Abstract View on Modularity in Knowledge Representation |
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❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| An Adaptive Gradient Method for Online AUC Maximization |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| An Agent-Based Model of the Emergence and Transmission of a Language System for the Expression of Logical Combinations |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
✅ |
2 |
| An Association Network for Computing Semantic Relatedness |
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✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| An Axiomatic Approach to Link Prediction |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| An EBMC-Based Approach to Selecting Types for Entity Filtering |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| An Efficient Forest-Based Tabu Search Algorithm for the Split-delivery Vehicle Routing Problem |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| An Empirical Study on the Practical Impact of Prior Beliefs over Policy Types |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| An Entorhinal-Hippocampal Model for Simultaneous Cognitive Map Building |
✅ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| An Exact Algorithm for Solving Most Relevant Explanation in Bayesian Networks |
❌ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
4 |
| An Improved Lower Bound for Bayesian Network Structure Learning |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| An SVD and Derivative Kernel Approach to Learning from Geometric Data |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| An Unsupervised Framework of Exploring Events on Twitter: Filtering, Extraction and Categorization |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Analysis of Equilibria in Iterative Voting Schemes |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Answering Conjunctive Queries over EL Knowledge Bases with Transitive and Reflexive Roles |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
❌ |
4 |
| Approximate Linear Programming for Constrained Partially Observable Markov Decision Processes |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Approximate MaxEnt Inverse Optimal Control and Its Application for Mental Simulation of Human Interactions |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Approximately Optimal Risk-Averse Routing Policies via Adaptive Discretization |
✅ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| Approximating Model-Based ABox Revision in DL-Lite: Theory and Practice |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
❌ |
3 |
| Approximating Optimal Social Choice under Metric Preferences |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Are Features Equally Representative? A Feature-Centric Recommendation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Assessing the Robustness of Cremer-McLean with Automated Mechanism Design |
❌ |
❌ |
❌ |
❌ |
✅ |
✅ |
❌ |
2 |
| Audit Games with Multiple Defender Resources |
✅ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| Automated Analysis of Commitment Protocols Using Probabilistic Model Checking |
✅ |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
2 |
| Automated Construction of Visual-Linguistic Knowledge via Concept Learning from Cartoon Videos |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Automatic Assessment of OCR Quality in Historical Documents |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| Automatic Configuration of Sequential Planning Portfolios |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Automatic Ellipsis Resolution: Recovering Covert Information from Text |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
✅ |
3 |
| Automatic Generation of Alternative Starting Positions for Simple Traditional Board Games |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Automatic Topic Discovery for Multi-Object Tracking |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Automatically Creating a Large Number of New Bilingual Dictionaries |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| BDD-Constrained Search: A Unified Approach to Constrained Shortest Path Problems |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| BDDs Strike Back (in AI Planning) |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Balanced Trade Reduction for Dual-Role Exchange Markets |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Bayesian Active Learning-Based Robot Tutor for Children’s Word-Reading Skills |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Bayesian Affect Control Theory of Self |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Bayesian Approach to Modeling and Detecting Communities in Signed Network |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Bayesian Maximum Margin Principal Component Analysis |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Bayesian Model Averaging Naive Bayes (BMA-NB): Averaging over an Exponential Number of Feature Models in Linear Time |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Bayesian Networks Specified Using Propositional and Relational Constructs: Combined, Data, and Domain Complexity |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Belief Revision Games |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Belief Revision with General Epistemic States |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Best-Response Planning of Thermostatically Controlled Loads under Power Constraints |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Better Be Lucky than Good: Exceeding Expectations in MDP Evaluation |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Binarisation via Dualisation for Valued Constraints |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Blended Planning and Acting: Preliminary Approach, Research Challenges |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Bottom-Up Demand Response by Following Local Energy Generation Voluntarily |
❌ |
✅ |
❌ |
❌ |
✅ |
❌ |
❌ |
2 |
| Budgeted Prediction with Expert Advice |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Building Effective Representations for Sketch Recognition |
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❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Building Strong Semi-Autonomous Systems |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Burst Time Prediction in Cascades |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| CORPP: Commonsense Reasoning and Probabilistic Planning, as Applied to Dialog with a Mobile Robot |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| COT: Contextual Operating Tensor for Context-Aware Recommender Systems |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Causal Inference via Sparse Additive Models with Application to Online Advertising |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Cerebella: Automatic Generation of Nonverbal Behavior for Virtual Humans |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Challenges in Resource and Cost Allocation |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Chance-Constrained Scheduling via Conflict-Directed Risk Allocation |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Characterizing Performance of Consistency Algorithms by Algorithm Configuration of Random CSP Generators |
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❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
2 |
| Chinese Common Noun Phrase Resolution: An Unsupervised Probabilistic Model Rivaling Supervised Resolvers |
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❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Circumventing Robots’ Failures by Embracing Their Faults: A Practical Approach to Planning for Autonomous Construction |
❌ |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
1 |
| Clustering Longitudinal Clinical Marker Trajectories from Electronic Health Data: Applications to Phenotyping and Endotype Discovery |
❌ |
✅ |
❌ |
✅ |
❌ |
❌ |
✅ |
3 |
| Clustering-Based Collaborative Filtering for Link Prediction |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Cognitive Master Teacher |
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❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Cognitive Social Learners: An Architecture for Modeling Normative Behavior |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Collaboration in Social Problem-Solving: When Diversity Trumps Network Efficiency |
✅ |
❌ |
❌ |
❌ |
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✅ |
2 |
| Collaborative Filtering with Localised Ranking |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Collaborative Topic Ranking: Leveraging Item Meta-Data for Sparsity Reduction |
❌ |
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✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Colorization by Patch-Based Local Low-Rank Matrix Completion |
✅ |
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❌ |
✅ |
3 |
| Combining Compact Representation and Incremental Generation in Large Games with Sequential Strategies |
✅ |
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✅ |
✅ |
3 |
| Combining Machine Learning and Crowdsourcing for Better Understanding Commodity Reviews |
❌ |
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❌ |
❌ |
❌ |
0 |
| Combining Ontology Class Expression Generation with Mathematical Modeling for Ontology Learning |
✅ |
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✅ |
❌ |
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❌ |
✅ |
3 |
| Compile! |
❌ |
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0 |
| Complex Event Detection via Event Oriented Dictionary Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Complexity Results for Compressing Optimal Paths |
❌ |
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0 |
| Compress and Control |
✅ |
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❌ |
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✅ |
3 |
| Compute Less to Get More: Using ORC to Improve Sparse Filtering |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Computing Nash Equilibrium in Interdependent Defense Games |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Concurrent PAC RL |
✅ |
❌ |
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❌ |
❌ |
❌ |
✅ |
2 |
| Conducting Neuroscience to Guide the Development of AI |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Congestion Games with Distance-Based Strict Uncertainty |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Consistent Knowledge Discovery from Evolving Ontologies |
✅ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| Constrained NMF-Based Multi-View Clustering on Unmapped Data |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Constructing Models of User and Task Characteristics from Eye Gaze Data for User-Adaptive Information Highlighting |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| Content-Aware Point of Interest Recommendation on Location-Based Social Networks |
✅ |
❌ |
❌ |
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❌ |
❌ |
✅ |
2 |
| Content-Based Collaborative Filtering for News Topic Recommendation |
✅ |
❌ |
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❌ |
❌ |
❌ |
✅ |
2 |
| Continuity Editing for 3D Animation |
❌ |
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✅ |
❌ |
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✅ |
2 |
| Contrastive Unsupervised Word Alignment with Non-Local Features |
❌ |
❌ |
✅ |
✅ |
❌ |
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❌ |
2 |
| Controlled School Choice with Soft Bounds and Overlapping Types |
✅ |
❌ |
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❌ |
❌ |
✅ |
2 |
| Conventional Machine Learning for Social Choice |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Convergent Plans for Large-Scale Evacuations |
✅ |
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❌ |
✅ |
✅ |
✅ |
4 |
| Convex Batch Mode Active Sampling via α-Relative Pearson Divergence |
✅ |
❌ |
✅ |
❌ |
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❌ |
✅ |
3 |
| Cooperating with Unknown Teammates in Complex Domains: A Robot Soccer Case Study of Ad Hoc Teamwork |
✅ |
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❌ |
❌ |
❌ |
✅ |
3 |
| Cooperative Game Solution Concepts that Maximize Stability under Noise |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Coupled Collaborative Filtering for Context-aware Recommendation |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Coupled Interdependent Attribute Analysis on Mixed Data |
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✅ |
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✅ |
2 |
| Cross-Modal Image Clustering via Canonical Correlation Analysis |
✅ |
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❌ |
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❌ |
✅ |
3 |
| Cross-Modal Similarity Learning via Pairs, Preferences, and Active Supervision |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| Crowd Motion Monitoring with Thermodynamics-Inspired Feature |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| CrowdMR: Integrating Crowdsourcing with MapReduce for AI-Hard Problems |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| CrowdWON: A Modelling Language for Crowd Processes based on Workflow Nets |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Crowdsourced Action-Model Acquisition for Planning |
✅ |
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✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Crowdsourcing Complex Workflows under Budget Constraints |
❌ |
❌ |
✅ |
❌ |
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❌ |
✅ |
2 |
| Cupid: Commitments in Relational Algebra |
❌ |
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❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Data Analysis and Optimization for (Citi)Bike Sharing |
❌ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
2 |
| Data Science for Social Good — 2014 KDD Highlights |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Dataless Text Classification with Descriptive LDA |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Dealing with Trouble: A Data-Driven Model of a Repair Type for a Conversational Agent |
❌ |
❌ |
✅ |
❌ |
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✅ |
❌ |
2 |
| Deep Modeling Complex Couplings within Financial Markets |
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✅ |
✅ |
❌ |
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✅ |
3 |
| Deep Representation Learning with Target Coding |
❌ |
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✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| DeepTutor: An Effective, Online Intelligent Tutoring System That Promotes Deep Learning |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Designing Vaccines that Are Robust to Virus Escape |
❌ |
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❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Detecting Change Points in the Large-Scale Structure of Evolving Networks |
❌ |
✅ |
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❌ |
❌ |
❌ |
✅ |
3 |
| Detecting and Tracking Concept Class Drift and Emergence in Non-Stationary Fast Data Streams |
✅ |
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✅ |
3 |
| Dialogue Understanding in a Logic of Action and Belief |
❌ |
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0 |
| Dictionary Learning with Mutually Reinforcing Group-Graph Structures |
❌ |
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✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Discretization of Temporal Models with Application to Planning with SMT |
❌ |
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✅ |
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❌ |
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3 |
| Discriminative Feature Grouping |
❌ |
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✅ |
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❌ |
❌ |
✅ |
3 |
| Distributed Multiplicative Weights Methods for DCOP |
✅ |
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❌ |
✅ |
✅ |
✅ |
4 |
| Distributing Coalition Value Calculations to Coalition Members |
✅ |
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1 |
| Do Capacity Constraints Constrain Coalitions? |
✅ |
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1 |
| Don’t Fall for Tuning Parameters: Tuning-Free Variable Selection in High Dimensions With the TREX |
✅ |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| Doubly Robust Covariate Shift Correction |
❌ |
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✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| DynaDiffuse: A Dynamic Diffusion Model for Continuous Time Constrained Influence Maximization |
✅ |
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❌ |
✅ |
❌ |
✅ |
3 |
| Effect of Spatial Pooler Initialization on Column Activity in Hierarchical Temporal Memory |
❌ |
❌ |
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❌ |
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1 |
| Effectively Predicting Whether and When a Topic Will Become Prevalent in a Social Network |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Efficient Active Learning of Halfspaces via Query Synthesis |
✅ |
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❌ |
❌ |
❌ |
✅ |
✅ |
3 |
| Efficient Benchmarking of Hyperparameter Optimizers via Surrogates |
❌ |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
5 |
| Efficient Bounds in Heuristic Search Algorithms for Stochastic Shortest Path Problems |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Efficient Computation of Semivalues for Game-Theoretic Network Centrality |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Efficient Extraction of QBF (Counter)models from Long-Distance Resolution Proofs |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
❌ |
4 |
| Efficient Task Sub-Delegation for Crowdsourcing |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Efficient Top-k Shortest-Path Distance Queries on Large Networks by Pruned Landmark Labeling |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Egalitarian Collective Decision Making under Qualitative Possibilistic Uncertainty: Principles and Characterization |
❌ |
❌ |
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❌ |
❌ |
❌ |
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0 |
| Eigenvalues Ratio for Kernel Selection of Kernel Methods |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Elections with Few Voters: Candidate Control Can Be Easy |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Elicitation for Aggregation |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Embedded Unsupervised Feature Selection |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Emerging Architectures for Global System Science |
❌ |
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0 |
| Energy Disaggregation via Learning Powerlets and Sparse Coding |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Energy Usage Behavior Modeling in Energy Disaggregation via Marked Hawkes Process |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| English Light Verb Construction Identification Using Lexical Knowledge |
❌ |
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✅ |
❌ |
❌ |
❌ |
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1 |
| Entity Resolution in a Big Data Framework |
❌ |
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❌ |
❌ |
❌ |
0 |
| Envy-Free Cake-Cutting in Two Dimensions |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Estimating Temporal Dynamics of Human Emotions |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
1 |
| Every Team Deserves a Second Chance: Identifying When Things Go Wrong (Student Abstract Version) |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
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3 |
| Exact Recoverability of Robust PCA via Outlier Pursuit with Tight Recovery Bounds |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Existential Rule Languages with Finite Chase: Complexity and Expressiveness |
❌ |
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0 |
| Explaining Answer Set Programming in Argumentative Terms |
❌ |
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❌ |
❌ |
0 |
| Explaining Watson: Polymath Style |
❌ |
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❌ |
❌ |
❌ |
0 |
| Exploiting Determinism to Scale Relational Inference |
✅ |
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✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| Exploiting Parallelism for Hard Problems in Abstract Argumentation |
✅ |
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❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| Exploiting Submodular Value Functions for Faster Dynamic Sensor Selection |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Exploiting Task-Feature Co-Clusters in Multi-Task Learning |
✅ |
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✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Exploiting Variable Associations to Configure Efficient Local Search in Large-Scale Set Partitioning Problems |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Exploiting the Structure of Distributed Constraint Optimization Problems |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Exploring Information Asymmetry in Two-Stage Security Games |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Exploring Key Concept Paraphrasing Based on Pivot Language Translation for Question Retrieval |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| Exploring Semantic Inter-Class Relationships (SIR) for Zero-Shot Action Recognition |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Exploring Social Context for Topic Identification in Short and Noisy Texts |
❌ |
❌ |
✅ |
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❌ |
❌ |
✅ |
3 |
| Exploring the KD45 Property of a Kripke Model After the Execution of an Action Sequence |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Expressing Arbitrary Reward Functions as Potential-Based Advice |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Extended Property Paths: Writing More SPARQL Queries in a Succinct Way |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
❌ |
4 |
| Extending Analogical Generalization with Near-Misses |
✅ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
3 |
| Extracting Adverse Drug Reactions from Social Media |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Extracting Bounded-Level Modules from Deductive RDF Triplestores |
✅ |
❌ |
✅ |
❌ |
❌ |
✅ |
✅ |
4 |
| Extracting Verb Expressions Implying Negative Opinions |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| FACES: Diversity-Aware Entity Summarization Using Incremental Hierarchical Conceptual Clustering |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Facility Location with Double-Peaked Preferences |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Factored MCTS for Large Scale Stochastic Planning |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Factored Symmetries for Merge-and-Shrink Abstractions |
✅ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| Fair Information Sharing for Treasure Hunting |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Fast Convention Formation in Dynamic Networks Using Topological Knowledge |
✅ |
❌ |
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❌ |
❌ |
❌ |
✅ |
2 |
| Fast Gradient Descent for Drifting Least Squares Regression, with Application to Bandits |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Fast and Accurate Prediction of Sentence Specificity |
✅ |
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✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Finding Meaningful Gaps to Guide Data Acquisition for a Radiation Adjudication System |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Finding a Collective Set of Items: From Proportional Multirepresentation to Group Recommendation |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Forecasting Collector Road Speeds Under High Percentage of Missing Data |
✅ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| From Classical to Consistent Query Answering under Existential Rules |
✅ |
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❌ |
❌ |
❌ |
1 |
| From Non-Negative to General Operator Cost Partitioning |
❌ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
4 |
| Fully Proportional Representation with Approval Ballots: Approximating the MaxCover Problem with Bounded Frequencies in FPT Time |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| FutureMatch: Combining Human Value Judgments and Machine Learning to Match in Dynamic Environments |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| GEF: A Self-Programming Robot Using Grammatical Evolution |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Game-Theoretic Approach for Non-Cooperative Planning |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
✅ |
3 |
| Gaussian Cardinality Restricted Boltzmann Machines |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Gazetteer-Independent Toponym Resolution Using Geographic Word Profiles |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Gene Selection in Microarray Datasets Using Progressively Refined PSO Scheme |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Generalization Analysis for Game-Theoretic Machine Learning |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Generalized Singular Value Thresholding |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Generating Event Causality Hypotheses through Semantic Relations |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Global Policy Construction in Modular Reinforcement Learning |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Goal Recognition Design for Non-Optimal Agents |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Going Beyond Literal Command-Based Instructions: Extending Robotic Natural Language Interaction Capabilities |
✅ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| Graph-Sparse LDA: A Topic Model with Structured Sparsity |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Graphical Representation of Assumption-Based Argumentation |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Grounded Fixpoints |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| HVAC-Aware Occupancy Scheduling |
❌ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
4 |
| HVAC-Aware Occupancy Scheduling (Extended Abstract) |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Handling Owl:sameAs via Rewriting |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Handling Uncertainty in Answer Set Programming |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Hedonic Coalition Formation in Networks |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Heuristic Induction of Rate-Based Process Models |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Heuristics and Symmetries in Classical Planning |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Hierarchical Monte-Carlo Planning |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| High-Confidence Off-Policy Evaluation |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| High-Performance Distributed ML at Scale through Parameter Server Consistency Models |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| How Many Diagnoses Do We Need? |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Identifying At-Risk Students in Massive Open Online Courses |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| Impact of Modeling Languages on the Theory and Practice in Planning Research |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Improved Local Search for Binary Matrix Factorization |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Improving Approximate Value Iteration with Complex Returns by Bounding |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Improving Cross-Domain Recommendation through Probabilistic Cluster-Level Latent Factor Model |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Improving Exploration in UCT Using Local Manifolds |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Improving Microblog Retrieval from Exterior Corpus by Automatically Constructing Microblogging Corpus |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Improving Multi-Step Prediction of Learned Time Series Models |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Incentive Networks |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Incentives for Subjective Evaluations with Private Beliefs |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Incentivizing Users for Balancing Bike Sharing Systems |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Incorporating Assortativity and Degree Dependence into Scalable Network Models |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Incorporating Implicit Link Preference Into Overlapping Community Detection |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Incremental Update of Datalog Materialisation: the Backward/Forward Algorithm |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
❌ |
4 |
| Incremental Weight Elicitation for Multiobjective State Space Search |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Inertial Hidden Markov Models: Modeling Change in Multivariate Time Series |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Inference Graphs: Combining Natural Deduction and Subsumption Inference in a Concurrent Reasoner |
❌ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
2 |
| Inferring Latent User Properties from Texts Published in Social Media |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Inferring Same-As Facts from Linked Data: An Iterative Import-by-Query Approach |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Influence-Driven Model for Time Series Prediction from Partial Observations |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Information Gathering and Reward Exploitation of Subgoals for POMDPs |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Initializing Bayesian Hyperparameter Optimization via Meta-Learning |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Instance-Driven Ontology Evolution in DL-Lite |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Integrating Features and Similarities: Flexible Models for Heterogeneous Multiview Data |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Integrating Image Clustering and Codebook Learning |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Integration and Evaluation of a Matrix Factorization Sequencer in Large Commercial ITS |
✅ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| Intelligent Agents for Rehabilitation and Care of Disabled and Chronic Patients |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Intent Prediction and Trajectory Forecasting via Predictive Inverse Linear-Quadratic Regulation |
❌ |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
5 |
| Interactive Narrative Planning in The Best Laid Plans |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
✅ |
3 |
| Interactive Query-Based Debugging of ASP Programs |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
2 |
| Is It Rectangular? Using I Spy as an Interactive, Game-Based Approach to Multimodal Robot Learning |
❌ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
2 |
| Joint Anaphoricity Detection and Coreference Resolution with Constrained Latent Structures |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Jointly Modeling Deep Video and Compositional Text to Bridge Vision and Language in a Unified Framework |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Just Count the Satisfied Groundings: Scalable Local-Search and Sampling Based Inference in MLNs |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Just-in-Time Hierarchical Constraint Decomposition |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Justified Representation in Approval-Based Committee Voting |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Kernel Density Estimation for Text-Based Geolocation |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Kernelized Online Imbalanced Learning with Fixed Budgets |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Kickback Cuts Backprop’s Red-Tape: Biologically Plausible Credit Assignment in Neural Networks |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Knowledge Forgetting in Circumscription: A Preliminary Report |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Knowledge Representation and Reasoning: What’s Hot |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Knowledge-Based Probabilistic Logic Learning |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| LARS: A Logic-Based Framework for Analyzing Reasoning over Streams |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| LOL — Laugh Out Loud |
❌ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
2 |
| Lagrangian Decomposition Algorithm for Allocating Marketing Channels |
❌ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
4 |
| Language Independent Feature Extractor |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Languages for Learning and Mining |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Large Margin Metric Learning for Multi-Label Prediction |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Large-Margin Multi-Label Causal Feature Learning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Large-Scale Multi-View Spectral Clustering via Bipartite Graph |
✅ |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| Lazier Than Lazy Greedy |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Learning Entity and Relation Embeddings for Knowledge Graph Completion |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Learning Face Hallucination in the Wild |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| Learning Greedy Policies for the Easy-First Framework |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Learning Hybrid Models with Guarded Transitions |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Learning Large-Scale Dynamic Discrete Choice Models of Spatio-Temporal Preferences with Application to Migratory Pastoralism in East Africa |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Learning Multi-Level Task Groups in Multi-Task Learning |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Learning Partial Lexicographic Preference Trees over Combinatorial Domains |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Learning Plausible Inferences from Semantic Web Knowledge by Combining Analogical Generalization with Structured Logistic Regression |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Learning Predictable and Discriminative Attributes for Visual Recognition |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Learning Relational Kalman Filtering |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Learning Relational Sum-Product Networks |
✅ |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
5 |
| Learning Robust Locality Preserving Projection via p-Order Minimization |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Learning Sparse Representations from Datasets with Uncertain Group Structures: Model, Algorithm and Applications |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Learning User-Specific Latent Influence and Susceptibility from Information Cascades |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Learning Valuation Distributions from Partial Observation |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Learning Word Representations from Relational Graphs |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Learning Word Vectors Efficiently Using Shared Representations and Document Representations |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Learning to Describe Video with Weak Supervision by Exploiting Negative Sentential Information |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| Learning to Hash on Structured Data |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Learning to Manipulate Unknown Objects in Clutter by Reinforcement |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| Learning to Mediate Perceptual Differences in Situated Human-Robot Dialogue |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Learning to Recommend Quotes for Writing |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Learning to Reject Sequential Importance Steps for Continuous-Time Bayesian Networks |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Learning to Uncover Deep Musical Structure |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Leveraging Common Structure to Improve Prediction across Related Datasets |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Leveraging Features and Networks for Probabilistic Tensor Decomposition |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Leveraging Social Foci for Information Seeking in Social Media |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Lifted Probabilistic Inference for Asymmetric Graphical Models |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Lifting Model Sampling for General Game Playing to Incomplete-Information Models |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Limitations of Front-To-End Bidirectional Heuristic Search |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Linear-Time Gibbs Sampling in Piecewise Graphical Models |
❌ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
2 |
| Local Context Sparse Coding |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Localized Centering: Reducing Hubness in Large-Sample Data |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Logic Programming in Assumption-Based Argumentation Revisited – Semantics and Graphical Representation |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Loss-Calibrated Monte Carlo Action Selection |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Low-Rank Multi-View Learning in Matrix Completion for Multi-Label Image Classification |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Low-Rank Similarity Metric Learning in High Dimensions |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Lower and Upper Bounds for SPARQL Queries over OWL Ontologies |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
❌ |
4 |
| Machine Teaching: An Inverse Problem to Machine Learning and an Approach Toward Optimal Education |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Marginalized Denoising for Link Prediction and Multi-Label Learning |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Massively Parallel A* Search on a GPU |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Matching with Dynamic Ordinal Preferences |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Maximin Separation Probability Clustering |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Measuring Plan Diversity: Pathologies in Existing Approaches and A New Plan Distance Metric |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Mechanism Design for Team Formation |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Mechanism Learning with Mechanism Induced Data |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Metric Learning Driven Multi-Task Structured Output Optimization for Robust Keypoint Tracking |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Microblog Sentiment Classification with Contextual Knowledge Regularization |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Minimizing User Involvement for Accurate Ontology Matching Problems |
✅ |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
2 |
| Mining Query Subtopics from Questions in Community Question Answering |
✅ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
3 |
| Mining User Consumption Intention from Social Media Using Domain Adaptive Convolutional Neural Network |
✅ |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
2 |
| Mining User Intents in Twitter: A Semi-Supervised Approach to Inferring Intent Categories for Tweets |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Mining User Interests from Personal Photos |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Model-Based Reinforcement Learning in Continuous Environments Using Real-Time Constrained Optimization |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Modeling Eye Movements when Reading Microblogs |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Modeling Status Theory in Trust Prediction |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Modeling with Node Degree Preservation Can Accurately Find Communities |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Modelling Class Noise with Symmetric and Asymmetric Distributions |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Modelling Individual Negative Emotion Spreading Process with Mobile Phones |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Moral Decision-Making by Analogy: Generalizations versus Exemplars |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Multi-Agent Dynamic Coupling for Cooperative Vehicles Modeling |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Multi-Agent Path Finding on Strongly Biconnected Digraphs |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Multi-Agent Pathfinding as a Combinatorial Auction |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Multi-Agent Team Formation: Solving Complex Problems by Aggregating Opinions |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Multi-Document Summarization Based on Two-Level Sparse Representation Model |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
❌ |
3 |
| Multi-Objective MDPs with Conditional Lexicographic Reward Preferences |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Multi-Objective Reinforcement Learning with Continuous Pareto Frontier Approximation |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Multi-Robot Auctions for Allocation of Tasks with Temporal Constraints |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Multi-Source Domain Adaptation: A Causal View |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Multi-Task Learning and Algorithmic Stability |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Multi-View Point Registration via Alternating Optimization |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
❌ |
4 |
| Multi-tensor Completion with Common Structures |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Multimedia Data for the Visually Impaired |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Multivariate Conditional Anomaly Detection and Its Clinical Application |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Never-Ending Learning |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Noise-Robust Semi-Supervised Learning by Large-Scale Sparse Coding |
✅ |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| Non-Classical Planning for Robotic Applications |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Non-Linear Regression for Bag-of-Words Data via Gaussian Process Latent Variable Set Model |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| Nonparametric Scoring Rules |
❌ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
2 |
| Nonstationary Gaussian Process Regression for Evaluating Repeated Clinical Laboratory Tests |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Novel Mechanisms for Online Crowdsourcing with Unreliable, Strategic Agents |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Nystrom Approximation for Sparse Kernel Methods: Theoretical Analysis and Empirical Evaluation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| OMNI-Prop: Seamless Node Classification on Arbitrary Label Correlation |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Obtaining Well Calibrated Probabilities Using Bayesian Binning |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| On Computing Explanations in Argumentation |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| On Computing Maximal Subsets of Clauses that Must Be Satisfiable with Possibly Mutually-Contradictory Assumptive Contexts |
✅ |
✅ |
❌ |
❌ |
✅ |
❌ |
✅ |
4 |
| On Correcting Misspelled Queries in Email Search |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| On Elementary Loops and Proper Loops for Disjunctive Logic Programs |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| On Fairness in Decision-Making under Uncertainty: Definitions, Computation, and Comparison |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| On Information Coverage for Location Category Based Point-of-Interest Recommendation |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| On Interruptible Pure Exploration in Multi-Armed Bandits |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| On Machine Learning towards Predictive Sales Pipeline Analytics |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| On Manipulablity of Random Serial Dictatorship in Sequential Matching with Dynamic Preferences |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| On Unconstrained Quasi-Submodular Function Optimization |
✅ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| On Vectorization of Deep Convolutional Neural Networks for Vision Tasks |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| On a Competitive Secretary Problem |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| On the Convergence of Iterative Voting: How Restrictive Should Restricted Dynamics Be? |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| On the Decreasing Power of Kernel and Distance Based Nonparametric Hypothesis Tests in High Dimensions |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| On the Diagnosis of Cyber-Physical Production Systems |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| On the Equivalence of Linear Discriminant Analysis and Least Squares |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| On the Impossibility of Convex Inference in Human Computation |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| On the Role of Canonicity in Knowledge Compilation |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
3 |
| On the Scalable Learning of Stochastic Blockmodel |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Online Bandit Learning for a Special Class of Non-Convex Losses |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Online Bayesian Models for Personal Analytics in Social Media |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Online Boosting Algorithms for Anytime Transfer and Multitask Learning |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Online Detection of Abnormal Events Using Incremental Coding Length |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Online Dictionary Learning on Symmetric Positive Definite Manifolds with Vision Applications |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Online Learning and Profit Maximization from Revealed Preferences |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Ontology Module Extraction via Datalog Reasoning |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Ontology-Based Information Extraction with a Cognitive Agent |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Optimal Column Subset Selection by A-Star Search |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Optimal Cost Almost-Sure Reachability in POMDPs |
✅ |
❌ |
✅ |
❌ |
❌ |
✅ |
✅ |
4 |
| Optimal Estimation of Multivariate ARMA Models |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Optimal Machine Strategies to Commit to in Two-Person Repeated Games |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Optimal Multi-Agent Pathfinding Algorithms |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Optimal Personalized Filtering Against Spear-Phishing Attacks |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Optimizing Bag Features for Multiple-Instance Retrieval |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Optimizing the CVaR via Sampling |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Ordering-Sensitive and Semantic-Aware Topic Modeling |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Outlier-Robust Convex Segmentation |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| PD Disease State Assessment in Naturalistic Environments Using Deep Learning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Parallel Gaussian Process Regression for Big Data: Low-Rank Representation Meets Markov Approximation |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Parallelized Hitting Set Computation for Model-Based Diagnosis |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Pareto Ensemble Pruning |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Partial Meet Revision and Contraction in Logic Programs |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Pathway Graphical Lasso |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Pattern Decomposition with Complex Combinatorial Constraints: Application to Materials Discovery |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Pattern-Based Variant-Best-Neighbors Respiratory Motion Prediction Using Orthogonal Polynomials Approximation |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Pearl’s Causality in a Logical Setting |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Perceiving Group Themes from Collective Social and Behavioral Information |
✅ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
3 |
| Person Identification Using Anthropometric and Gait Data from Kinect Sensor |
❌ |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
4 |
| Personalized Tag Recommendation through Nonlinear Tensor Factorization Using Gaussian Kernel |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
3 |
| Phrase Type Sensitive Tensor Indexing Model for Semantic Composition |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Placing Influencing Agents in a Flock |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Planning Over Multi-Agent Epistemic States: A Classical Planning Approach |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Planning with Numeric Timed Initial Fluents |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Plurality Voting Under Uncertainty |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Policy Tree: Adaptive Representation for Policy Gradient |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Power System Restoration With Transient Stability |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
✅ |
3 |
| Prajna: Towards Recognizing Whatever You Want from Images without Image Labeling |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Predicting Emotion Perception Across Domains: A Study of Singing and Speaking |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
1 |
| Predicting Peer-to-Peer Loan Rates Using Bayesian Non-Linear Regression |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
1 |
| Predicting the Demographics of Twitter Users from Website Traffic Data |
❌ |
✅ |
❌ |
✅ |
❌ |
❌ |
✅ |
3 |
| Predicting the Quality of User Experiences to Improve Productivity and Wellness |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
1 |
| Predisaster Preparation of Transportation Networks |
❌ |
❌ |
✅ |
❌ |
✅ |
✅ |
❌ |
3 |
| Preference Planning for Markov Decision Processes |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Price Evolution in a Continuous Double Auction Prediction Market With a Scoring-Rule Based Market Maker |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Probabilistic Attributed Hashing |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Probabilistic Graphical Models for Boosting Cardinal and Ordinal Peer Grading in MOOCs |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Probabilistic Planning with Risk-Sensitive Criterion |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Projection in the Epistemic Situation Calculus with Belief Conditionals |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Propagating Ranking Functions on a Graph: Algorithms and Applications |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Providing Arguments in Discussions Based on the Prediction of Human Argumentative Behavior |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| Proximal Operators for Multi-Agent Path Planning |
❌ |
❌ |
❌ |
❌ |
✅ |
✅ |
✅ |
3 |
| Pruning Game Tree by Rollouts |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Query Abduction for ELH Ontologies |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Question/Answer Matching for CQA System via Combining Lexical and Sequential Information |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| R1SVM: A Randomised Nonlinear Approach to Large-Scale Anomaly Detection |
❌ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
4 |
| RAIN: Social Role-Aware Information Diffusion |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| RANSAC versus CS-RANSAC |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Random Gradient Descent Tree: A Combinatorial Approach for SVM with Outliers |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Ranking with Recursive Neural Networks and Its Application to Multi-Document Summarization |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
✅ |
3 |
| Real-Time Predictive Optimization for Energy Management in a Hybrid Electric Vehicle |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Real-Time Symbolic Dynamic Programming |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Realistic Assumptions for Attacks on Elections |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Recommending Positive Links in Signed Social Networks by Optimizing a Generalized AUC |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Recovering Causal Effects from Selection Bias |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Recurrent Convolutional Neural Networks for Text Classification |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Recursive Best-First Search with Bounded Overhead |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Refer-to-as Relations as Semantic Knowledge |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Relating Romanized Comments to News Articles by Inferring Multi-Glyphic Topical Correspondence |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
✅ |
4 |
| Relational Stacked Denoising Autoencoder for Tag Recommendation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Representation Discovery for MDPs Using Bisimulation Metrics |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Representation Learning for Aspect Category Detection in Online Reviews |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Representing Aggregators in Relational Probabilistic Models |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Resilient Upgrade of Electrical Distribution Grids |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Resolving Over-Constrained Probabilistic Temporal Problems through Chance Constraint Relaxation |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Retweet Behavior Prediction Using Hierarchical Dirichlet Process |
✅ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
3 |
| Reusing Previously Found A* Paths for Fast Goal-Directed Navigation in Dynamic Terrain |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Reward Shaping for Model-Based Bayesian Reinforcement Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Risk Based Optimization for Improving Emergency Medical Systems |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Risk-Aware Scheduling throughout Planning and Execution |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| RoboCup@Home — Benchmarking Domestic Service Robots |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Robot Learning Manipulation Action Plans by “Watching” Unconstrained Videos from the World Wide Web |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Robust Image Sentiment Analysis Using Progressively Trained and Domain Transferred Deep Networks |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Robust Subspace Clustering via Thresholding Ridge Regression |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Robustness in Probabilistic Temporal Planning |
✅ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| SAT Modulo Monotonic Theories |
❌ |
✅ |
❌ |
❌ |
✅ |
✅ |
✅ |
4 |
| SAT-Based Strategy Extraction in Reachability Games |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| SCRAM: Scalable Collision-avoiding Role Assignment with Minimal-Makespan for Formational Positioning |
✅ |
✅ |
❌ |
❌ |
✅ |
❌ |
✅ |
4 |
| SMT-Based Nonlinear PDDL+ Planning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| SMT-Based Validation of Timed Failure Propagation Graphs |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| SP-SVM: Large Margin Classifier for Data on Multiple Manifolds |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Salient Object Detection via Objectness Proposals |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Sample-Targeted Clinical Trial Adaptation |
❌ |
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1 |
| Sampling Representative Users from Large Social Networks |
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4 |
| Scalable Agent Modeling for Large Multiagent Systems |
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1 |
| Scalable Planning and Learning for Multiagent POMDPs |
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2 |
| Scalable and Interpretable Data Representation for High-Dimensional, Complex Data |
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2 |
| Scaling-Up Inference in Markov Logic |
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1 |
| Scheherazade: Crowd-Powered Interactive Narrative Generation |
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0 |
| Security Games with Protection Externalities |
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4 |
| Self-Organized Collective Decision-Making in a 100-Robot Swarm |
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2 |
| Self-Paced Curriculum Learning |
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3 |
| Self-Paced Learning for Matrix Factorization |
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3 |
| Semantic Lexicon Induction from Twitter with Pattern Relatedness and Flexible Term Length |
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1 |
| Semantic Representation |
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0 |
| Sense-Aaware Semantic Analysis: A Multi-Prototype Word Representation Model Using Wikipedia |
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3 |
| Sequence-Form Algorithm for Computing Stackelberg Equilibria in Extensive-Form Games |
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2 |
| Sharing Rides with Friends: A Coalition Formation Algorithm for Ridesharing |
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3 |
| Shift-Pessimistic Active Learning Using Robust Bias-Aware Prediction |
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3 |
| SimSensei Demonstration: A Perceptive Virtual Human Interviewer for Healthcare Applications |
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1 |
| SmartShift: Expanded Load Shifting Incentive Mechanism for Risk-Averse Consumers |
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3 |
| SoF: Soft-Cluster Matrix Factorization for Probabilistic Clustering |
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3 |
| Social Hierarchical Learning |
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0 |
| Solving Distributed Constraint Optimization Problems Using Logic Programming |
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3 |
| Solving Games with Functional Regret Estimation |
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2 |
| Solving Hard Stable Matching Problems via Local Search and Cooperative Parallelization |
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5 |
| Solving Uncertain MDPs with Objectives that Are Separable over Instantiations of Model Uncertainty |
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0 |
| Solving and Explaining Analogy Questions Using Semantic Networks |
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3 |
| Some Fixed Parameter Tractability Results for Planning with Non-Acyclic Domain-Transition Graphs |
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1 |
| Sorted Neighborhood for the Semantic Web |
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0 |
| Sparse Bayesian Multiview Learning for Simultaneous Association Discovery and Diagnosis of Alzheimer’s Disease |
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3 |
| Sparse Deep Stacking Network for Image Classification |
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4 |
| Spatio-Spectral Exploration Combining In Situ and Remote Measurements |
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3 |
| Spatio-Temporal Signatures of User-Centric Data: How Similar Are We? |
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0 |
| Spectral Clustering Using Multilinear SVD: Analysis, Approximations and Applications |
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3 |
| Spectral Label Refinement for Noisy and Missing Text Labels |
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3 |
| Spectral Learning of Predictive State Representations with Insufficient Statistics |
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3 |
| Speech Adaptation in Extended Ambient Intelligence Environments |
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0 |
| Splitting a Logic Program Revisited |
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4 |
| Spontaneous Retrieval from Long-Term Memory for a Cognitive Architecture |
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1 |
| Stable Feature Selection from Brain sMRI |
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4 |
| Stable Invitations |
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0 |
| Stable Model Counting and Its Application in Probabilistic Logic Programming |
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2 |
| Steering Evolution Strategically: Computational Game Theory and Opponent Exploitation for Treatment Planning, Drug Design, and Synthetic Biology |
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0 |
| Stochastic Blockmodeling for Online Advertising |
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1 |
| Stochastic Local Search for Satisfiability Modulo Theories |
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4 |
| Strategic Voting and Strategic Candidacy |
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0 |
| Strategy-Proof and Efficient Kidney Exchange Using a Credit Mechanism |
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4 |
| Strong Bounds Consistencies and Their Application to Linear Constraints |
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3 |
| Strong Temporal Planning with Uncontrollable Durations: A State-Space Approach |
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5 |
| Structural Learning with Amortized Inference |
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5 |
| Structured Embedding via Pairwise Relations and Long-Range Interactions in Knowledge Base |
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4 |
| Structured Sparsity with Group-Graph Regularization |
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4 |
| Sub-Merge: Diving Down to the Attribute-Value Level in Statistical Schema Matching |
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4 |
| Submodular Surrogates for Value of Information |
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1 |
| Support Consistency of Direct Sparse-Change Learning in Markov Networks |
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1 |
| Surpassing Human-Level Face Verification Performance on LFW with GaussianFace |
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3 |
| Surveyor: A System for Generating Coherent Survey Articles for Scientific Topics |
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2 |
| Swiss-System Based Cascade Ranking for Gait-Based Person Re-Identification |
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2 |
| TDS+: Improving Temperature Discovery Search |
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3 |
| TODTLER: Two-Order-Deep Transfer Learning |
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4 |
| Tackling Mental Health by Integrating Unobtrusive Multimodal Sensing |
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1 |
| Target-Dependent Churn Classification in Microblogs |
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3 |
| Tartanian7: A Champion Two-Player No-Limit Texas Hold’em Poker-Playing Program |
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3 |
| Temporally Adaptive Restricted Boltzmann Machine for Background Modeling |
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3 |
| Tensor-Based Learning for Predicting Stock Movements |
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1 |
| Tensor-Variate Restricted Boltzmann Machines |
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2 |
| The Boundary Forest Algorithm for Online Supervised and Unsupervised Learning |
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4 |
| The Complexity of Recognizing Incomplete Single-Crossing Preferences |
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1 |
| The Dynamic Chinese Restaurant Process via Birth and Death Processes |
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2 |
| The Extendable-Triple Property: A New CSP Tractable Class beyond BTP |
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2 |
| The Hybrid Nested/Hierarchical Dirichlet Process and its Application to Topic Modeling with Word Differentiation |
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2 |
| The Network Data Repository with Interactive Graph Analytics and Visualization |
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1 |
| The Pricing War Continues: On Competitive Multi-Item Pricing |
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0 |
| The Queue Method: Handling Delay, Heuristics, Prior Data, and Evaluation in Bandits |
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2 |
| The Relative Expressiveness of Abstract Argumentation and Logic Programming |
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0 |
| The Utility of Text: The Case of Amicus Briefs and the Supreme Court |
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2 |
| This Time the Robot Settles for a Cost: A Quantitative Approach to Temporal Logic Planning with Partial Satisfaction |
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2 |
| Tighter Value Function Bounds for Bayesian Reinforcement Learning |
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3 |
| Time-Sensitive Opinion Mining for Prediction |
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0 |
| Topic Segmentation with an Ordering-Based Topic Model |
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3 |
| Topical Word Embeddings |
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3 |
| Touchless Telerobotic Surgery — Is It Possible at All? |
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1 |
| Toward Mobile Robots Reasoning Like Humans |
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1 |
| Towards Cognitive Automation of Data Science |
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0 |
| Towards Knowledge-Driven Annotation |
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4 |
| Towards Optimal Solar Tracking: A Dynamic Programming Approach |
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3 |
| Towards Tractable and Practical ABox Abduction over Inconsistent Description Logic Ontologies |
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3 |
| Towards User-Adaptive Information Visualization |
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0 |
| Towards a Programmer’s Apprentice (Again) |
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1 |
| Tractability of Planning with Loops |
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4 |
| Tractable Cost-Optimal Planning over Restricted Polytree Causal Graphs |
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1 |
| Tractable Interval Temporal Propositional and Description Logics |
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0 |
| Transaction Costs-Aware Portfolio Optimization via Fast Lowner-John Ellipsoid Approximation |
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3 |
| Transfer Feature Representation via Multiple Kernel Learning |
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3 |
| Transfer Learning-Based Co-Run Scheduling for Heterogeneous Datacenters |
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3 |
| Transition Constraints for Parallel Planning |
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4 |
| Trust Models for RDF Data: Semantics and Complexity |
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4 |
| TrustSVD: Collaborative Filtering with Both the Explicit and Implicit Influence of User Trust and of Item Ratings |
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4 |
| Truthful Mechanisms without Money for Non-Utilitarian Heterogeneous Facility Location |
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1 |
| Two Weighting Local Search for Minimum Vertex Cover |
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6 |
| UT Austin Villa 2014: RoboCup 3D Simulation League Champion via Overlapping Layered Learning |
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2 |
| Unidimensional Clustering of Discrete Data Using Latent Tree Models |
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3 |
| Uniform Interpolation and Forgetting for ALC Ontologies with ABoxes |
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3 |
| Unsupervised Cross-Domain Transfer in Policy Gradient Reinforcement Learning via Manifold Alignment |
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2 |
| Unsupervised Feature Learning through Divergent Discriminative Feature Accumulation |
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4 |
| Unsupervised Phrasal Near-Synonym Generation from Text Corpora |
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2 |
| Unsupervised Word Sense Disambiguation Using Markov Random Field and Dependency Parser |
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3 |
| Using Description Logics for RDF Constraint Checking and Closed-World Recognition |
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0 |
| Using Frame Semantics for Knowledge Extraction from Twitter |
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3 |
| Using Machine Teaching to Identify Optimal Training-Set Attacks on Machine Learners |
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2 |
| Using Matched Samples to Estimate the Effects of Exercise on Mental Health via Twitter |
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3 |
| Using Social Relationships to Control Narrative Generation |
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0 |
| V-MIN: Efficient Reinforcement Learning through Demonstrations and Relaxed Reward Demands |
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3 |
| VELDA: Relating an Image Tweet’s Text and Images |
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1 |
| Value of Information Based on Decision Robustness |
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3 |
| Value-Directed Compression of Large-Scale Assignment Problems |
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4 |
| Variable-Deletion Backdoors to Planning |
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0 |
| Variational Inference for Nonparametric Bayesian Quantile Regression |
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3 |
| VecLP: A Realtime Video Recommendation System for Live TV Programs |
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0 |
| Verification of Relational Multiagent Systems with Data Types |
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0 |
| Verifying and Synthesising Multi-Agent Systems against One-Goal Strategy Logic Specifications |
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2 |
| Visualization Techniques for Topic Model Checking |
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1 |
| Visualizing Inference |
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1 |
| Visually Interpreting Names as Demographic Attributes by Exploiting Click-Through Data |
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2 |
| Voting Rules As Error-Correcting Codes |
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2 |
| Weakly-Supervised Grammar-Informed Bayesian CCG Parser Learning |
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4 |
| What Is Hot in CHI |
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0 |
| What Is the Longest River in the USA? Semantic Parsing for Aggregation Questions |
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2 |
| What’s Hot in Crowdsourcing and Human Computation |
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0 |
| What’s Hot in the SAT and ASP Competitions |
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❌ |
❌ |
1 |
| When Suboptimal Rules |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Will You “Reconsume” the Near Past? Fast Prediction on Short-Term Reconsumption Behaviors |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Word Segmentation for Chinese Novels |
✅ |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
5 |
| World WordNet Database Structure: An Efficient Schema for Storing Information of WordNets of the World |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| XPath for DL Ontologies |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| asprin: Customizing Answer Set Preferences without a Headache |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| tBurton: A Divide and Conquer Temporal Planner |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |