| 8 Amazing Secrets for Getting More Clicks: Detecting Clickbaits in News Streams Using Article Informality |
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2 |
| A CP-Based Approach for Popular Matching |
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| A Combinatorial Search Perspective on Diverse Solution Generation |
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3 |
| A Comparative Study of Ranking-Based Semantics for Abstract Argumentation |
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1 |
| A Comparison of Supervised Learning Algorithms for Telerobotic Control Using Electromyography Signals |
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| A Deep Architecture for Semantic Matching with Multiple Positional Sentence Representations |
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3 |
| A Deep Choice Model |
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3 |
| A First-Order Logic of Probability and Only Knowing in Unbounded Domains |
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| A Framework for Outlier Description Using Constraint Programming |
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2 |
| A Framework for Resolving Open-World Referential Expressions in Distributed Heterogeneous Knowledge Bases |
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2 |
| A Fraud Resilient Medical Insurance Claim System |
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0 |
| A Generative Model of Words and Relationships from Multiple Sources |
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4 |
| A Geometric Method to Construct Minimal Peer Prediction Mechanisms |
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0 |
| A Joint Model for Entity Set Expansion and Attribute Extraction from Web Search Queries |
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2 |
| A Joint Model for Question Answering over Multiple Knowledge Bases |
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3 |
| A Model for Learning Description Logic Ontologies Based on Exact Learning |
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1 |
| A Morphology-Aware Network for Morphological Disambiguation |
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3 |
| A POMDP Formulation of Proactive Learning |
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5 |
| A Proactive Sampling Approach to Project Scheduling under Uncertainty |
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2 |
| A Probabilistic Approach to Knowledge Translation |
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4 |
| A Probabilistic Soft Logic Based Approach to Exploiting Latent and Global Information in Event Classification |
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3 |
| A Proximal Alternating Direction Method for Semi-Definite Rank Minimization |
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4 |
| A Representation Learning Framework for Multi-Source Transfer Parsing |
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2 |
| A Scalable Framework to Choose Sellers in E-Marketplaces Using POMDPs |
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2 |
| A Scalable and Extensible Framework for Superposition-Structured Models |
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4 |
| A Security Game Combining Patrolling and Alarm-Triggered Responses Under Spatial and Detection Uncertainties |
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2 |
| A Semantical Analysis of Second-Order Propositional Modal Logic |
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0 |
| A Semi-Supervised Learning Approach to Why-Question Answering |
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4 |
| A Survey of Current Practice and Teaching of AI |
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| A Symbolic SAT-Based Algorithm for Almost-Sure Reachability with Small Strategies in POMDPs |
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3 |
| A Tool to Graphically Edit CP-Nets |
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1 |
| A Unified Bayesian Model of Scripts, Frames and Language |
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2 |
| A Unifying Variational Inference Framework for Hierarchical Graph-Coupled HMM with an Application to Influenza Infection |
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1 |
| A Visual Semantic Framework for Innovation Analytics |
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| A Word Embedding and a Josa Vector for Korean Unsupervised Semantic Role Induction |
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2 |
| A.I. as an Introduction to Research Methods in Computer Science |
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| Abstract Zobrist Hashing: An Efficient Work Distribution Method for Parallel Best-First Search |
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3 |
| Abstracting Complex Domains Using Modular Object-Oriented Markov Decision Processes |
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0 |
| Abstraction Using Analysis of Subgames |
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1 |
| Accelerated Sparse Linear Regression via Random Projection |
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3 |
| Accelerating Random Kaczmarz Algorithm Based on Clustering Information |
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3 |
| Achieving Stable and Fair Profit Allocation with Minimum Subsidy in Collaborative Logistics |
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| Acquiring Knowledge of Affective Events from Blogs Using Label Propagation |
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4 |
| Active Learning with Cross-Class Knowledge Transfer |
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4 |
| Ad Auctions and Cascade Model: GSP Inefficiency and Algorithms |
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5 |
| Adaptable Regression Method for Ensemble Consensus Forecasting |
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1 |
| Adapting Plans through Communication with Unknown Teammates |
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| Adaptive Normalized Risk-Averting Training for Deep Neural Networks |
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3 |
| Addressing a Question Answering Challenge by Combining Statistical Methods with Inductive Rule Learning and Reasoning |
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3 |
| Affective Computing and Applications of Image Emotion Perceptions |
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2 |
| Affective Personalization of a Social Robot Tutor for Children’s Second Language Skills |
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2 |
| Affinity Preserving Quantization for Hashing: A Vector Quantization Approach to Learning Compact Binary Codes |
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4 |
| Age of Exposure: A Model of Word Learning |
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3 |
| Agenda Separability in Judgment Aggregation |
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| Aggregating Inter-Sentence Information to Enhance Relation Extraction |
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4 |
| Agreement on Target-Bidirectional LSTMs for Sequence-to-Sequence Learning |
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4 |
| Algorithms for Differentially Private Multi-Armed Bandits |
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2 |
| All-in Text: Learning Document, Label, and Word Representations Jointly |
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5 |
| Alternative Filtering for the Weighted Circuit Constraint: Comparing Lower Bounds for the TSP and Solving TSPTW |
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4 |
| An Algorithm to Coordinate Measurements Using Stochastic Human Mobility Patterns in Large-Scale Participatory Sensing Settings |
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3 |
| An Algorithmic Framework for Strategic Fair Division |
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1 |
| An Alternating Proximal Splitting Method with Global Convergence for Nonconvex Structured Sparsity Optimization |
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5 |
| An Axiomatic Framework for Ex-Ante Dynamic Pricing Mechanisms in Smart Grid |
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| An Efficient Time Series Subsequence Pattern Mining and Prediction Framework with an Application to Respiratory Motion Prediction |
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2 |
| An Image Analysis Environment for Species Identification of Food Contaminating Beetles |
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1 |
| An Online Logic Programming Development Environment |
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0 |
| An Oral Exam for Measuring a Dialog System’s Capabilities |
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1 |
| Analogical Generalization of Linguistic Constructions |
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1 |
| Analysis-Synthesis Dictionary Learning for Universality-Particularity Representation Based Classification |
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4 |
| Angry Birds as a Challenge for Artificial Intelligence |
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| Apprenticeship Scheduling for Human-Robot Teams |
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0 |
| Approximate K-Means++ in Sublinear Time |
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3 |
| Approximate Probabilistic Inference via Word-Level Counting |
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4 |
| Approximation Algorithms for Route Planning with Nonlinear Objectives |
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4 |
| Architectural Mechanisms for Situated Natural Language Understanding in Uncertain and Open Worlds |
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| Are Elephants Bigger than Butterflies? Reasoning about Sizes of Objects |
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3 |
| Argument Mining from Speech: Detecting Claims in Political Debates |
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2 |
| Articulated Pose Estimation Using Hierarchical Exemplar-Based Models |
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4 |
| Artificial Intelligence for Predictive and Evidence Based Architecture Design |
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1 |
| Artificial Swarm Intelligence, a Human-in-the-Loop Approach to A.I. |
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1 |
| Ask, and Shall You Receive? Understanding Desire Fulfillment in Natural Language Text |
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3 |
| Assignment and Pricing in Roommate Market |
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1 |
| Assumed Density Filtering Methods for Learning Bayesian Neural Networks |
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3 |
| Asynchronous Distributed Semi-Stochastic Gradient Optimization |
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4 |
| Authorship Attribution Using a Neural Network Language Model |
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4 |
| Automated Verification and Tightening of Failure Propagation Models |
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3 |
| Autonomous Electricity Trading Using Time-of-Use Tariffs in a Competitive Market |
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2 |
| BBookX: Building Online Open Books for Personalized Learning |
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1 |
| BRBA: A Blocking-Based Association Rule Hiding Method |
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1 |
| Bagging Ensembles for the Diagnosis and Prognostication of Alzheimer’s Disease |
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2 |
| Basic Probabilistic Ontological Data Exchange with Existential Rules |
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0 |
| Bayesian AutoEncoder: Generation of Bayesian Networks with Hidden Nodes for Features |
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| Bayesian Inference of Recursive Sequences of Group Activities from Tracks |
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1 |
| Bayesian Learning of Other Agents’ Finite Controllers for Interactive POMDPs |
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4 |
| Bayesian Markov Games with Explicit Finite-Level Types |
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0 |
| Bayesian Matrix Completion via Adaptive Relaxed Spectral Regularization |
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3 |
| BeeMo, a Monte Carlo Simulation Agent for Playing Parameterized Poker Squares |
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2 |
| Behavioral Experiments in Email Filter Evasion |
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2 |
| Benders Decomposition for Large-Scale Prescriptive Evacuations |
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5 |
| Beyond OWL 2 QL in OBDA: Rewritings and Approximations |
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2 |
| Bidirectional Search That Is Guaranteed to Meet in the Middle |
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3 |
| Big-Data Mechanisms and Energy-Policy Design |
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1 |
| Blind, Greedy, and Random: Algorithms for Matching and Clustering Using Only Ordinal Information |
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1 |
| Boolean Functions with Ordered Domains in Answer Set Programming |
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0 |
| Bounded Optimal Exploration in MDP |
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3 |
| Breaking More Composition Symmetries Using Search Heuristics |
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3 |
| Building Earth Mover’s Distance on Bilingual Word Embeddings for Machine Translation |
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2 |
| Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models |
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4 |
| Building a Large Scale Dataset for Image Emotion Recognition: The Fine Print and The Benchmark |
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4 |
| Business Event Curation: Merging Human and Automated Approaches |
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0 |
| Business-Aware Visual Concept Discovery from Social Media for Multimodal Business Venue Recognition |
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2 |
| CAPReS: Context Aware Persona Based Recommendation for Shoppers |
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2 |
| Capturing Semantic Correlation for Item Recommendation in Tagging Systems |
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3 |
| Causal Explanation Under Indeterminism: A Sampling Approach |
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3 |
| Character-Aware Neural Language Models |
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4 |
| ClaimEval: Integrated and Flexible Framework for Claim Evaluation Using Credibility of Sources |
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3 |
| Closed-Form Gibbs Sampling for Graphical Models with Algebraic Constraints |
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3 |
| Closeness Centrality for Networks with Overlapping Community Structure |
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3 |
| Closing the Gap Between Short and Long XORs for Model Counting |
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4 |
| Co-Occurrence Feature Learning for Skeleton Based Action Recognition Using Regularized Deep LSTM Networks |
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3 |
| Co-Regularized PLSA for Multi-Modal Learning |
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3 |
| Cold-Start Heterogeneous-Device Wireless Localization |
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2 |
| Collective Noise Contrastive Estimation for Policy Transfer Learning |
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2 |
| Collective Supervision of Topic Models for Predicting Surveys with Social Media |
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4 |
| College Towns, Vacation Spots, and Tech Hubs: Using Geo-Social Media to Model and Compare Locations |
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3 |
| Column Sampling Based Discrete Supervised Hashing |
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❌ |
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5 |
| Column-Oriented Datalog Materialization for Large Knowledge Graphs |
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✅ |
✅ |
✅ |
5 |
| Combining Bounding Boxes and JPS to Prune Grid Pathfinding |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Combining Retrieval, Statistics, and Inference to Answer Elementary Science Questions |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Common and Discriminative Subspace Kernel-Based Multiblock Tensor Partial Least Squares Regression |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Commonsense Interpretation of Triangle Behavior |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Commonsense in Parts: Mining Part-Whole Relations from the Web and Image Tags |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Community-Based Question Answering via Heterogeneous Social Network Learning |
✅ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
3 |
| Competition of Distributed and Multiagent Planners (CoDMAP) |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Complementing Semantic Roles with Temporally Anchored Spatial Knowledge: Crowdsourced Annotations and Experiments |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Complexity Results and Algorithms for Extension Enforcement in Abstract Argumentation |
✅ |
✅ |
❌ |
❌ |
✅ |
❌ |
✅ |
4 |
| Complexity of Hedonic Games with Dichotomous Preferences |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Complexity of Shift Bribery in Committee Elections |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Component Caching in Hybrid Domains with Piecewise Polynomial Densities |
✅ |
❌ |
❌ |
❌ |
✅ |
✅ |
✅ |
4 |
| Compressed Conditional Mean Embeddings for Model-Based Reinforcement Learning |
✅ |
✅ |
❌ |
✅ |
❌ |
❌ |
✅ |
4 |
| Computing Contingent Plans Using Online Replanning |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
❌ |
3 |
| Computing Optimal Monitoring Strategy for Detecting Terrorist Plots |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Computing Possible and Necessary Equilibrium Actions (and Bipartisan Set Winners) |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
❌ |
1 |
| Computing Rational Decisions In Extensive Games With Limited Foresight |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| ConTaCT: Deciding to Communicate during Time-Critical Collaborative Tasks in Unknown, Deterministic Domains |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Concepts Not Alone: Exploring Pairwise Relationships for Zero-Shot Video Activity Recognition |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Conceptualizing Curse of Dimensionality with Parallel Coordinates |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
❌ |
1 |
| Connecting the Dots Using Contextual Information Hidden in Text and Images |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Conquering Adversary Behavioral Uncertainty in Security Games: An Efficient Modeling Robust Based Algorithm |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Consensus Guided Unsupervised Feature Selection |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Consensus Style Centralizing Auto-Encoder for Weak Style Classification |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Conservativeness of Untied Auto-Encoders |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Constrained Submodular Minimization for Missing Labels and Class Imbalance in Multi-label Learning |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Context-Sensitive Twitter Sentiment Classification Using Neural Network |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| Continual Planning in Golog |
✅ |
✅ |
❌ |
❌ |
✅ |
❌ |
✅ |
4 |
| Convolution Kernels for Discriminative Learning from Streaming Text |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| Convolutional Neural Networks over Tree Structures for Programming Language Processing |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Counter-Transitivity in Argument Ranking Semantics |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Counterfactual Regret Minimization in Sequential Security Games |
✅ |
❌ |
✅ |
❌ |
❌ |
✅ |
✅ |
4 |
| Counting-Based Search for Constraint Optimization Problems |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Coupled Dictionary Learning for Unsupervised Feature Selection |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Creating Images by Learning Image Semantics Using Vector Space Models |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Creating Interactive and Visual Educational Resources for AI |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Cross-Lingual Taxonomy Alignment with Bilingual Biterm Topic Model |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| DARI: Distance Metric and Representation Integration for Person Verification |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| DECT: Distributed Evolving Context Tree for Understanding User Behavior Pattern Evolution |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| DRIMUX: Dynamic Rumor Influence Minimization with User Experience in Social Networks |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Data Poisoning Attacks against Autoregressive Models |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
❌ |
2 |
| Decentralized Approximate Bayesian Inference for Distributed Sensor Network |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Decentralized Robust Subspace Clustering |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Decidable Verification of Golog Programs over Non-Local Effect Actions |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Decision Sum-Product-Max Networks |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Decoding Hidden Markov Models Faster Than Viterbi Via Online Matrix-Vector (max, +)-Multiplication |
✅ |
❌ |
❌ |
❌ |
✅ |
✅ |
✅ |
4 |
| Deep Contextual Networks for Neuronal Structure Segmentation |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Deep Hashing Network for Efficient Similarity Retrieval |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Deep Learning for Algorithm Portfolios |
❌ |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
4 |
| Deep Learning with S-Shaped Rectified Linear Activation Units |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Deep Neural Networks for Learning Graph Representations |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Deep Quantization Network for Efficient Image Retrieval |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Deep Reinforcement Learning with Double Q-Learning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Deep Tracking: Seeing Beyond Seeing Using Recurrent Neural Networks |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Delay-Tolerant Online Convex Optimization: Unified Analysis and Adaptive-Gradient Algorithms |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Dependency Tree Representations of Predicate-Argument Structures |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Deploying PAWS to Combat Poaching: Game-Theoretic Patrolling in Areas with Complex Terrain (Demonstration) |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Derivative-Free Optimization via Classification |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Design of an Online Course on Knowledge-Based AI |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Detect Overlapping Communities via Ranking Node Popularities |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Detection of Plan Deviation in Multi-Agent Systems |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Differential Privacy Preservation for Deep Auto-Encoders: an Application of Human Behavior Prediction |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| DinTucker: Scaling Up Gaussian Process Models on Large Multidimensional Arrays |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Direct Discriminative Bag Mapping for Multi-Instance Learning |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Discourse Relations Detection via a Mixed Generative-Discriminative Framework |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Discovering User Attribute Stylistic Differences via Paraphrasing |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Discrete Image Hashing Using Large Weakly Annotated Photo Collections |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Discriminative Analysis Dictionary Learning |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Discriminative Nonparametric Latent Feature Relational Models with Data Augmentation |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Discriminative Structure Learning of Arithmetic Circuits |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Discriminative Vanishing Component Analysis |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
4 |
| Distance Minimization for Reward Learning from Scored Trajectories |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Distant IE by Bootstrapping Using Lists and Document Structure |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Diversified Dynamical Gaussian Process Latent Variable Model for Video Repair |
❌ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
4 |
| Domain-Constraint Transfer Coding for Imbalanced Unsupervised Domain Adaptation |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Drosophila Gene Expression Pattern Annotations via Multi-Instance Biological Relevance Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Dynamic Concept Composition for Zero-Example Event Detection |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Dynamic Controllability of Disjunctive Temporal Networks: Validation and Synthesis of Executable Strategies |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| EDDIE: An Embodied AI System for Research and Intervention for Individuals with ASD |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| EKNOT: Event Knowledge from News and Opinions in Twitter |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Efficient Average Reward Reinforcement Learning Using Constant Shifting Values |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Efficient Collaborative Crowdsourcing |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Efficient Computation of Emergent Equilibrium in Agent-Based Simulation |
✅ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| Efficient Learning of Timeseries Shapelets |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
❌ |
3 |
| Efficient Macroscopic Urban Traffic Models for Reducing Congestion: A PDDL+ Planning Approach |
✅ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| Efficient Nonparametric Subgraph Detection Using Tree Shaped Priors |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Efficient PAC-Optimal Exploration in Concurrent, Continuous State MDPs with Delayed Updates |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Efficient Spatio-Temporal Tactile Object Recognition with Randomized Tiling Convolutional Networks in a Hierarchical Fusion Strategy |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Egocentric Video Search via Physical Interactions |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| Embedding Ethical Principles in Collective Decision Support Systems |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Emergence of Social Punishment and Cooperation through Prior Commitments |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Energy- and Cost-Efficient Pumping Station Control |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Epitomic Image Super-Resolution |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Estimating Text Intelligibility via Information Packaging Analysis |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Ethical Dilemmas for Adaptive Persuasion Systems |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Evaluating the Robustness of Game Theoretic Solutions When Using Abstraction |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Evaluation of Semantic Dependency Labeling Across Domains |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| ExTaSem! Extending, Taxonomizing and Semantifying Domain Terminologies |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Exact Sampling with Integer Linear Programs and Random Perturbations |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Expected Tensor Decomposition with Stochastic Gradient Descent |
❌ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
4 |
| Explaining Inconsistency-Tolerant Query Answering over Description Logic Knowledge Bases |
❌ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
4 |
| Exploiting Anonymity in Approximate Linear Programming: Scaling to Large Multiagent MDPs |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Exploiting View-Specific Appearance Similarities Across Classes for Zero-Shot Pose Prediction: A Metric Learning Approach |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Exploiting an Oracle That Reports AUC Scores in Machine Learning Contests |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Exploring Multiple Feature Spaces for Novel Entity Discovery |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
✅ |
3 |
| Exponential Recency Weighted Average Branching Heuristic for SAT Solvers |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Expressive Recommender Systems through Normalized Nonnegative Models |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Extending the Modelling Capacity of Gaussian Conditional Random Fields while Learning Faster |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Extracting Biomolecular Interactions Using Semantic Parsing of Biomedical Text |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Extracting Topical Phrases from Clinical Documents |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Face Behind Makeup |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Face Model Compression by Distilling Knowledge from Neurons |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Face Video Retrieval via Deep Learning of Binary Hash Representations |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Factorization Ranking Model for Move Prediction in the Game of Go |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| False-Name-Proof Locations of Two Facilities: Economic and Algorithmic Approaches |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Fast ADMM Algorithm for Distributed Optimization with Adaptive Penalty |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Fast Asynchronous Parallel Stochastic Gradient Descent: A Lock-Free Approach with Convergence Guarantee |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Fast Hybrid Algorithm for Big Matrix Recovery |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Fast Lasso Algorithm via Selective Coordinate Descent |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Fast Nonsmooth Regularized Risk Minimization with Continuation |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Fast Optimal Clearing of Capped-Chain Barter Exchanges |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Fast Proximal Linearized Alternating Direction Method of Multiplier with Parallel Splitting |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Fast and Accurate Refined Nyström-Based Kernel SVM |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Finding One’s Best Crowd: Online Learning By Exploiting Source Similarity |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Fine-Grained Semantic Conceptualization of FrameNet |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
❌ |
3 |
| Five Dimensions of Reasoning in the Wild |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Fixed-Rank Supervised Metric Learning on Riemannian Manifold |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Flattening the Density Gradient for Eliminating Spatial Centrality to Reduce Hubness |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Fortune Teller: Predicting Your Career Path |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
✅ |
3 |
| From Duels to Battlefields: Computing Equilibria of Blotto and Other Games |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| From Exact to Anytime Solutions for Marginal MAP |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| From Tweets to Wellness: Wellness Event Detection from Twitter Streams |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| From the Lab to the Classroom and Beyond: Extending a Game-Based Research Platform for Teaching AI to Diverse Audiences |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Frugal Bribery in Voting |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Fusing Social Networks with Deep Learning for Volunteerism Tendency Prediction |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Gated Neural Networks for Targeted Sentiment Analysis |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Gaussian Process Planning with Lipschitz Continuous Reward Functions: Towards Unifying Bayesian Optimization, Active Learning, and Beyond |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| General Error Bounds in Heuristic Search Algorithms for Stochastic Shortest Path Problems |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| General Video Game AI: Competition, Challenges and Opportunities |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| Generalised Brown Clustering and Roll-Up Feature Generation |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Generalized Emphatic Temporal Difference Learning: Bias-Variance Analysis |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Generating CP-Nets Uniformly at Random |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
❌ |
3 |
| Global Distant Supervision for Relation Extraction |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Global Model Checking on Pushdown Multi-Agent Systems |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Goal Recognition Design with Non-Observable Actions |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Graph-without-cut: An Ideal Graph Learning for Image Segmentation |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Graphical Hedonic Games of Bounded Treewidth |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Group Cost-Sensitive Boosting for Multi-Resolution Pedestrian Detection |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Group and Graph Joint Sparsity for Linked Data Classification |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| Handling Class Imbalance in Link Prediction Using Learning to Rank Techniques |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Hashtag-Based Sub-Event Discovery Using Mutually Generative LDA in Twitter |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Heuristic Planning for Hybrid Systems |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Hierarchy Prediction in Online Communities |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| High-Order Stochastic Gradient Thermostats for Bayesian Learning of Deep Models |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Holographic Embeddings of Knowledge Graphs |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
4 |
| Hospital Stockpiling Problems with Inventory Sharing |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| How Important Is Weight Symmetry in Backpropagation? |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Human-Robot Trust and Cooperation Through a Game Theoretic Framework |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| IRobot: Teaching the Basics of Artificial Intelligence in High Schools |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Identifying Search Keywords for Finding Relevant Social Media Posts |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Identifying Sentiment Words Using an Optimization Model with L1 Regularization |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Image Privacy Prediction Using Deep Features |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Implementing Troubleshooting with Batch Repair |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Implicit Coordination in Crowded Multi-Agent Navigation |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Implicit Discourse Relation Classification via Multi-Task Neural Networks |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Improved Neural Machine Translation with SMT Features |
❌ |
❌ |
❌ |
✅ |
✅ |
❌ |
✅ |
3 |
| Improving Opinion Aspect Extraction Using Semantic Similarity and Aspect Associations |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Improving Predictive State Representations via Gradient Descent |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Improving Recommendation of Tail Tags for Questions in Community Question Answering |
✅ |
✅ |
❌ |
✅ |
❌ |
❌ |
✅ |
4 |
| Improving Twitter Sentiment Classification Using Topic-Enriched Multi-Prototype Word Embeddings |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Incentives for Strategic Behavior in Fisher Market Games |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Increasing Nogoods in Restart-Based Search |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Increasing the Action Gap: New Operators for Reinforcement Learning |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Incremental Stochastic Factorization for Online Reinforcement Learning |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Indefinite Scalability for Living Computation |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Indexable Probabilistic Matrix Factorization for Maximum Inner Product Search |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Inductive Logic Programming: Challenges |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Inferring Interpersonal Relations in Narrative Summaries |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Inferring Multi-Dimensional Ideal Points for US Supreme Court Justices |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Inferring a Personalized Next Point-of-Interest Recommendation Model with Latent Behavior Patterns |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Infinite Plaid Models for Infinite Bi-Clustering |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Information Credibility Evaluation on Social Media |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Inside Out: Two Jointly Predictive Models for Word Representations and Phrase Representations |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Instance Specific Metric Subspace Learning: A Bayesian Approach |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Instilling Social to Physical: Co-Regularized Heterogeneous Transfer Learning |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| Instructable Intelligent Personal Agent |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Integrating Planning and Recognition to Close the Interaction Loop |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Intelligent Advice Provisioning for Repeated Interaction |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Intelligent Habitat Restoration Under Uncertainty |
❌ |
❌ |
❌ |
❌ |
✅ |
✅ |
✅ |
3 |
| Interaction Point Processes via Infinite Branching Model |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| Interactive Learning and Analogical Chaining for Moral and Commonsense Reasoning |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Intrinsic and Extrinsic Evaluations of Word Embeddings |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Inverse Reinforcement Learning through Policy Gradient Minimization |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Is It Harmful When Advisors Only Pretend to Be Honest? |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Iterative Project Quasi-Newton Algorithm for Training RBM |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Jikan to Kukan: A Hands-On Musical Experience in AI, Games and Art |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Joint Inference over a Lightly Supervised Information Extraction Pipeline: Towards Event Coreference Resolution for Resource-Scarce Languages |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Joint Multi-View Representation Learning and Image Tagging |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Joint Word Representation Learning Using a Corpus and a Semantic Lexicon |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Joint Word Segmentation, POS-Tagging and Syntactic Chunking |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Jointly Modeling Topics and Intents with Global Order Structure |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Judgment Aggregation under Issue Dependencies |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Knowing Whether’ in Proper Epistemic Knowledge Bases |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Knowledge Graph Completion with Adaptive Sparse Transfer Matrix |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Knowledge Transfer with Interactive Learning of Semantic Relationships |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Labeling the Features Not the Samples: Efficient Video Classification with Minimal Supervision |
✅ |
❌ |
✅ |
❌ |
❌ |
✅ |
✅ |
4 |
| Labeling the Semantic Roles of Commas |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Large Scale Similarity Learning Using Similar Pairs for Person Verification |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Large-Scale Graph-Based Semi-Supervised Learning via Tree Laplacian Solver |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Learning Abductive Reasoning Using Random Examples |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Learning Adaptive Forecasting Models from Irregularly Sampled Multivariate Clinical Data |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Learning Bayesian Networks with Bounded Tree-width via Guided Search |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Learning Complex Stand-Up Motion for Humanoid Robots |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Learning Continuous-Time Bayesian Networks in Relational Domains: A Non-Parametric Approach |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Learning Cross-Domain Neural Networks for Sketch-Based 3D Shape Retrieval |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Learning Deep Convolutional Neural Networks for X-Ray Protein Crystallization Image Analysis |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Learning Deep Representation from Big and Heterogeneous Data for Traffic Accident Inference |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Learning Deep ℓ0Encoders |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Learning Ensembles of Cutset Networks |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Learning Expected Hitting Time Distance |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Learning FRAME Models Using CNN Filters |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Learning Future Classifiers without Additional Data |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Learning Market Parameters Using Aggregate Demand Queries |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Learning Sparse Confidence-Weighted Classifier on Very High Dimensional Data |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Learning Statistical Scripts with LSTM Recurrent Neural Networks |
❌ |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
4 |
| Learning Step Size Controllers for Robust Neural Network Training |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Learning Structural Features of Nodes in Large-Scale Networks for Link Prediction |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Learning Tractable Probabilistic Models for Fault Localization |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Learning a Hybrid Architecture for Sequence Regression and Annotation |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Learning and Using Hand Abstraction Values for Parameterized Poker Squares |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Learning by Transferring from Unsupervised Universal Sources |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Learning for Decentralized Control of Multiagent Systems in Large, Partially-Observable Stochastic Environments |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Learning the Preferences of Ignorant, Inconsistent Agents |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Learning to Answer Questions from Image Using Convolutional Neural Network |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Learning to Appreciate the Aesthetic Effects of Clothing |
✅ |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
3 |
| Learning to Branch in Mixed Integer Programming |
❌ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
4 |
| Learning to Generate Posters of Scientific Papers |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
4 |
| Learning with Marginalized Corrupted Features and Labels Together |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Lift-Based Bidding in Ad Selection |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Linear Submodular Bandits with a Knapsack Constraint |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Linear-Time Learning on Distributions with Approximate Kernel Embeddings |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Linearized Alternating Direction Method with Penalization for Nonconvex and Nonsmooth Optimization |
✅ |
❌ |
❌ |
❌ |
✅ |
✅ |
✅ |
4 |
| Listen, Attend, and Walk: Neural Mapping of Navigational Instructions to Action Sequences |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Little Is Much: Bridging Cross-Platform Behaviors through Overlapped Crowds |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Local Search for Hard SAT Formulas: The Strength of the Polynomial Law |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Locally Adaptive Translation for Knowledge Graph Embedding |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Logical Foundations of Privacy-Preserving Publishing of Linked Data |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Look, Listen and Learn — A Multimodal LSTM for Speaker Identification |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Look-Ahead with Mini-Bucket Heuristics for MPE |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| MC-HOG Correlation Tracking with Saliency Proposal |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| MIDCA: A Metacognitive, Integrated Dual-Cycle Architecture for Self-Regulated Autonomy |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| MIP-Nets: Enabling Information Sharing in Loosely-Coupled Teamwork |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| MOOCs Meet Measurement Theory: A Topic-Modelling Approach |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| MUST-CNN: A Multilayer Shift-and-Stitch Deep Convolutional Architecture for Sequence-Based Protein Structure Prediction |
❌ |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
5 |
| Machine Learning for Computational Psychology |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Mapping Action Language BC to Logic Programs: A Characterization by Postulates |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Marginalized Continuous Time Bayesian Networks for Network Reconstruction from Incomplete Observations |
✅ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| Markov Argumentation Random Fields |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Maximizing Revenue with Limited Correlation: The Cost of Ex-Post Incentive Compatibility |
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❌ |
❌ |
❌ |
✅ |
1 |
| Maximum Margin Dirichlet Process Mixtures for Clustering |
✅ |
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❌ |
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4 |
| Metaphysics of Planning Domain Descriptions |
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❌ |
❌ |
❌ |
0 |
| Metric Embedded Discriminative Vocabulary Learning for High-Level Person Representation |
✅ |
❌ |
✅ |
❌ |
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❌ |
✅ |
3 |
| Metric Learning for Ordinal Data |
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✅ |
✅ |
✅ |
❌ |
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4 |
| MicroScholar: Mining Scholarly Information from Chinese Microblogs |
❌ |
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❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| Microsummarization of Online Reviews: An Experimental Study |
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❌ |
❌ |
❌ |
❌ |
0 |
| Minimally-Constrained Multilingual Embeddings via Artificial Code-Switching |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Minimizing User Involvement for Learning Human Mobility Patterns from Location Traces |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Mitosis Detection in Breast Cancer Histology Images via Deep Cascaded Networks |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
3 |
| Mobility Sequence Extraction and Labeling Using Sparse Cell Phone Data |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Model AI Assignments 2016 |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Model Checking Probabilistic Knowledge: A PSPACE Case |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Model-Free Preference-Based Reinforcement Learning |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Modeling Evolving Relationships Between Characters in Literary Novels |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Modeling Human Ad Hoc Coordination |
✅ |
✅ |
✅ |
❌ |
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❌ |
✅ |
4 |
| Modeling Human Understanding of Complex Intentional Action with a Bayesian Nonparametric Subgoal Model |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Modeling Users’ Preferences and Social Links in Social Networking Services: A Joint-Evolving Perspective |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Modeling and Experimentation Framework for Fuzzy Cognitive Maps |
❌ |
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❌ |
❌ |
❌ |
❌ |
0 |
| Monte Carlo Tree Search for Multi-Robot Task Allocation |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Moodee: An Intelligent Mobile Companion for Sensing Your Stress from Your Social Media Postings |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Morphological Segmentation with Window LSTM Neural Networks |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Multi-Agent Path Finding with Payload Transfers and the Package-Exchange Robot-Routing Problem |
❌ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
4 |
| Multi-Agent System Development MADE Easy |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Multi-Attribute Proportional Representation |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Multi-Defender Strategic Filtering Against Spear-Phishing Attacks |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Multi-Domain Active Learning for Recommendation |
✅ |
❌ |
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❌ |
❌ |
❌ |
✅ |
2 |
| Multi-Instance Multi-Label Class Discovery: A Computational Approach for Assessing Bird Biodiversity |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Multi-Label Manifold Learning |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Multi-Modal Learning over User-Contributed Content from Cross-Domain Social Media |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Multi-Objective Self-Paced Learning |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Multi-Stage Multi-Task Learning with Reduced Rank |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Multi-Variable Agents Decomposition for DCOPs |
✅ |
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❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| Multi-View 3D Human Tracking in Crowded Scenes |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Multiagent-Based Route Guidance for Increasing the Chance of Arrival on Time |
✅ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| Multiple Kernelk-Means Clustering with Matrix-Induced Regularization |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Multitask Generalized Eigenvalue Program |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Multivariate Conditional Outlier Detection and Its Clinical Application |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| Multiwinner Analogues of the Plurality Rule: Axiomatic and Algorithmic Perspectives |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| NLU Framework for Voice Enabling Non-Native Applications on Smart Devices |
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❌ |
❌ |
❌ |
0 |
| Natural Language Processing for Enhancing Teaching and Learning |
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❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Near-Optimal Active Learning of Multi-Output Gaussian Processes |
❌ |
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✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Nested Monte Carlo Search for Two-Player Games |
✅ |
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❌ |
❌ |
❌ |
✅ |
2 |
| New l1-Norm Relaxations and Optimizations for Graph Clustering |
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✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| News Verification by Exploiting Conflicting Social Viewpoints in Microblogs |
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❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| Noise-Adaptive Margin-Based Active Learning and Lower Bounds under Tsybakov Noise Condition |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Noisy Submodular Maximization via Adaptive Sampling with Applications to Crowdsourced Image Collection Summarization |
✅ |
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❌ |
❌ |
✅ |
2 |
| Non-Linear Similarity Learning for Compositionality |
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✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Nonlinear Feature Extraction with Max-Margin Data Shifting |
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❌ |
❌ |
✅ |
4 |
| Numerical Relation Extraction with Minimal Supervision |
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❌ |
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❌ |
✅ |
3 |
| Offline Evaluation of Online Reinforcement Learning Algorithms |
✅ |
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✅ |
❌ |
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✅ |
4 |
| On Learning Causal Models from Relational Data |
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2 |
| On Order-Constrained Transitive Distance Clustering |
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❌ |
✅ |
2 |
| On Parameter Tying by Quantization |
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✅ |
✅ |
❌ |
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4 |
| On the Completeness of Best-First Search Variants That Use Random Exploration |
✅ |
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❌ |
❌ |
❌ |
1 |
| On the Complexity of mCP-nets |
❌ |
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❌ |
❌ |
❌ |
0 |
| On the Containment of SPARQL Queries under Entailment Regimes |
❌ |
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❌ |
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❌ |
❌ |
❌ |
0 |
| On the Depth of Deep Neural Networks: A Theoretical View |
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✅ |
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❌ |
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1 |
| On the Differential Privacy of Bayesian Inference |
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❌ |
✅ |
3 |
| On the Effectiveness of Linear Models for One-Class Collaborative Filtering |
❌ |
❌ |
✅ |
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❌ |
❌ |
✅ |
2 |
| On the Extraction of One Maximal Information Subset That Does Not Conflict with Multiple Contexts |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| On the Minimum Differentially Resolving Set Problem for Diffusion Source Inference in Networks |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| On the Performance of GoogLeNet and AlexNet Applied to Sketches |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| One Size Does Not Fit All: A Game-Theoretic Approach for Dynamically and Effectively Screening for Threats |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Online ARIMA Algorithms for Time Series Prediction |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Online Cross-Modal Hashing for Web Image Retrieval |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Online Instrumental Variable Regression with Applications to Online Linear System Identification |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Online Spatio-Temporal Matching in Stochastic and Dynamic Domains |
❌ |
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❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Ontology Instance Linking: Towards Interlinked Knowledge Graphs |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Ontology-Mediated Queries for NOSQL Databases |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Optimal Aggregation of Uncertain Preferences |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Optimal Discrete Matrix Completion |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Optimizing Infrastructure Enhancements for Evacuation Planning |
❌ |
❌ |
❌ |
❌ |
✅ |
✅ |
✅ |
3 |
| Optimizing Multivariate Performance Measures from Multi-View Data |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Optimizing Personalized Email Filtering Thresholds to Mitigate Sequential Spear Phishing Attacks |
❌ |
❌ |
❌ |
❌ |
✅ |
✅ |
✅ |
3 |
| Optimizing Resilience in Large Scale Networks |
✅ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| Optimizing Trading Assignments in Water Right Markets |
✅ |
❌ |
❌ |
❌ |
✅ |
✅ |
✅ |
4 |
| PEAK: Pyramid Evaluation via Automated Knowledge Extraction |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Path Following with Adaptive Path Estimation for Graph Matching |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Personalized Alert Agent for Optimal User Performance |
❌ |
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❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Personalized Microblog Sentiment Classification via Multi-Task Learning |
✅ |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
5 |
| Poker-CNN: A Pattern Learning Strategy for Making Draws and Bets in Poker Games Using Convolutional Networks |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Pose-Dependent Low-Rank Embedding for Head Pose Estimation |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Pose-Guided Human Parsing by an AND/OR Graph Using Pose-Context Features |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Pragmatic Querying in Heterogeneous Knowledge Graphs |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Preconditioned Stochastic Gradient Langevin Dynamics for Deep Neural Networks |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Predicting Gaming Related Properties from Twitter Accounts |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
1 |
| Predicting ICU Mortality Risk by Grouping Temporal Trends from a Multivariate Panel of Physiologic Measurements |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Predicting Links and Their Building Time: A Path-Based Approach |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Predicting Online Protest Participation of Social Media Users |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Predicting Personal Traits from Facial Images Using Convolutional Neural Networks Augmented with Facial Landmark Information |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| Predicting Prices in the Power TAC Wholesale Energy Market |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Predicting Readers’ Sarcasm Understandability by Modeling Gaze Behavior |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| Predicting Spatio-Temporal Propagation of Seasonal Influenza Using Variational Gaussian Process Regression |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Preferences Single-Peaked on Nice Trees |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Preventing Illegal Logging: Simultaneous Optimization of Resource Teams and Tactics for Security |
✅ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| Price of Pareto Optimality in Hedonic Games |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Privacy Management in Agent-Based Social Networks |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Privacy-CNH: A Framework to Detect Photo Privacy with Convolutional Neural Network using Hierarchical Features |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Product Grassmann Manifold Representation and Its LRR Models |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Productive Aging through Intelligent Personalized Crowdsourcing |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Progressive EM for Latent Tree Models and Hierarchical Topic Detection |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Pseudo-Tree Construction Heuristics for DCOPs with Variable Communication Times |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| QART: A System for Real-Time Holistic Quality Assurance for Contact Center Dialogues |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
✅ |
3 |
| Qualitative Spatio-Temporal Stream Reasoning with Unobservable Intertemporal Spatial Relations Using Landmarks |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Quantitative Extensions of the Condorcet Jury Theorem with Strategic Agents |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Query Answering with Inconsistent Existential Rules under Stable Model Semantics |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| RAO*: An Algorithm for Chance-Constrained POMDP’s |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
❌ |
3 |
| ROOT13: Spotting Hypernyms, Co-Hyponyms and Randoms |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Random Composite Forests |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Random Mixed Field Model for Mixed-Attribute Data Restoration |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Randomised Procedures for Initialising and Switching Actions in Policy Iteration |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Rational Verification: From Model Checking to Equilibrium Checking |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Re-Active Learning: Active Learning with Relabeling |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Reading Scene Text in Deep Convolutional Sequences |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Reading the Videos: Temporal Labeling for Crowdsourced Time-Sync Videos Based on Semantic Embedding |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Recognizing Actions in 3D Using Action-Snippets and Activated Simplices |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Recognizing Complex Activities by a Probabilistic Interval-Based Model |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Recommendation with Social Dimensions |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Recommending Groups to Users Using User-Group Engagement and Time-Dependent Matrix Factorization |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| Reconstructing Hidden Permutations Using the Average-Precision (AP) Correlation Statistic |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Reduction Techniques for Graph-Based Convex Clustering |
❌ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
4 |
| Refining Subgames in Large Imperfect Information Games |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Reinforcement Learning with Parameterized Actions |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Reinstating Combinatorial Protections for Manipulation and Bribery in Single-Peaked and Nearly Single-Peaked Electorates |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Relational Knowledge Transfer for Zero-Shot Learning |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Relaxed Majorization-Minimization for Non-Smooth and Non-Convex Optimization |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Representation Learning of Knowledge Graphs with Entity Descriptions |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Representing Sets of Instances for Visual Recognition |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Representing Verbs as Argument Concepts |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Resistance to Corruption of Strategic Argumentation |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Return of Frustratingly Easy Domain Adaptation |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Reuse of Neural Modules for General Video Game Playing |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Risk Minimization in the Presence of Label Noise |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Robust Classification under Covariate Shift with Application to Active Learning |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Robust Complex Behaviour Modeling at 90Hz |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Robust Decision Making for Stochastic Network Design |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Robust Execution Strategies for Probabilistic Temporal Planning |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Robust Execution of BDI Agent Programs by Exploiting Synergies Between Intentions |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Robust Learning from Demonstration Techniques and Tools |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Robust Multi-View Subspace Learning through Dual Low-Rank Decompositions |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Robust Semi-Supervised Learning through Label Aggregation |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Robust Text Classification in the Presence of Confounding Bias |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Robustness of Bayesian Pool-Based Active Learning Against Prior Misspecification |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Rules for Choosing Societal Tradeoffs |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| SAND: Semi-Supervised Adaptive Novel Class Detection and Classification over Data Stream |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| SAPE: A System for Situation-Aware Public Security Evaluation |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| SAT-to-SAT: Declarative Extension of SAT Solvers with New Propagators |
✅ |
❌ |
❌ |
❌ |
✅ |
✅ |
✅ |
4 |
| SDDs Are Exponentially More Succinct than OBDDs |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| SPAN: Understanding a Question with Its Support Answers |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| STELLAR: Spatial-Temporal Latent Ranking for Successive Point-of-Interest Recommendation |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| SVVAMP: Simulator of Various Voting Algorithms in Manipulating Populations |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Scalable Algorithms for Tractable Schatten Quasi-Norm Minimization |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Scalable Completion of Nonnegative Matrix with Separable Structure |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Scalable Sequential Spectral Clustering |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Scalable Training of Markov Logic Networks Using Approximate Counting |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Scaling Relational Inference Using Proofs and Refutations |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
❌ |
4 |
| Scaling Simultaneous Optimistic Optimization for High-Dimensional Non-Convex Functions with Low Effective Dimensions |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Scaling-Up MAP and Marginal MAP Inference in Markov Logic |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Scientific Ranking over Heterogeneous Academic Hypernetwork |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Seeing the Unseen Network: Inferring Hidden Social Ties from Respondent-Driven Sampling |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Selecting Near-Optimal Learners via Incremental Data Allocation |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Selectively Reactive Coordination for a Team of Robot Soccer Champions |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Semantic Community Identification in Large Attribute Networks |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Semi-Supervised Dictionary Learning via Structural Sparse Preserving |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Semi-Supervised Multinomial Naive Bayes for Text Classification by Leveraging Word-Level Statistical Constraint |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Semisupervised Autoencoder for Sentiment Analysis |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| SentiCap: Generating Image Descriptions with Sentiments |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Separators and Adjustment Sets in Markov Equivalent DAGs |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
2 |
| Sequence-Form and Evolutionary Dynamics: Realization Equivalence to Agent Form and Logit Dynamics |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Shakeout: A New Regularized Deep Neural Network Training Scheme |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Shoot to Know What: An Application of Deep Networks on Mobile Devices |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
3 |
| Short Text Representation for Detecting Churn in Microblogs |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Shortest Path Based Decision Making Using Probabilistic Inference |
✅ |
❌ |
❌ |
❌ |
✅ |
✅ |
✅ |
4 |
| Siamese Recurrent Architectures for Learning Sentence Similarity |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Simultaneous Feature and Sample Reduction for Image-Set Classification |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Single or Multiple? Combining Word Representations Independently Learned from Text and WordNet |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Social Emotion Classification via Reader Perspective Weighted Model |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| Social Role-Aware Emotion Contagion in Image Social Networks |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
✅ |
2 |
| Solving Goal Recognition Design Using ASP |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Solving Risk-Sensitive POMDPs With and Without Cost Observations |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Solving Transition-Independent Multi-Agent MDPs with Sparse Interactions |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Solving the Station Repacking Problem |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Sparse Latent Space Policy Search |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Sparse Perceptron Decision Tree for Millions of Dimensions |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Spatially Regularized Streaming Sensor Selection |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Spectral Bisection Tree Guided Deep Adaptive Exemplar Autoencoder for Unsupervised Domain Adaptation |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Steiner Tree Problems with Side Constraints Using Constraint Programming |
❌ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
4 |
| Stochastic Optimization for Kernel PCA |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Stochastic Parallel Block Coordinate Descent for Large-Scale Saddle Point Problems |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Strategic Behaviour When Allocating Indivisible Goods |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Strategy-Based Warm Starting for Regret Minimization in Games |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Strategyproof Peer Selection: Mechanisms, Analyses, and Experiments |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
3 |
| Strengthening Agents Strategic Ability with Communication |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Structure Aware L1 Graph for Data Clustering |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Structured Features in Naive Bayes Classification |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Structured Output Prediction for Semantic Perception in Autonomous Vehicles |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Submodular Asymmetric Feature Selection in Cascade Object Detection |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Submodular Optimization with Routing Constraints |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Supervised Hashing via Uncorrelated Component Analysis |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
3 |
| Surprise-Triggered Reformulation of Design Goals |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Survival Prediction by an Integrated Learning Criterion on Intermittently Varying Healthcare Data |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| Syntactic Skeleton-Based Translation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| TGSum: Build Tweet Guided Multi-Document Summarization Dataset |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Target Surveillance in Adversarial Environments Using POMDPs |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Teaching Automated Strategic Reasoning Using Capstone Tournaments |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Teaching Big Data Analytics Skills with Intelligent Workflow Systems |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Teaching-to-Learn and Learning-to-Teach for Multi-label Propagation |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Temporal Topic Analysis with Endogenous and Exogenous Processes |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Temporal Vaccination Games under Resource Constraints |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Text Classification with Heterogeneous Information Network Kernels |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Text Matching as Image Recognition |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Text Simplification Using Neural Machine Translation |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| The Complexity Landscape of Decompositional Parameters for ILP |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| The Complexity of LTL on Finite Traces: Hard and Easy Fragments |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| The Constrained Laplacian Rank Algorithm for Graph-Based Clustering |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| The Hidden Convexity of Spectral Clustering |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| The Meta-Problem for Conservative Mal’tsev Constraints |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| The Ostomachion Process |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| The Turing Test in the Classroom |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| The l2,1-Norm Stacked Robust Autoencoders for Domain Adaptation |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Tiebreaking Strategies for A* Search: How to Explore the Final Frontier |
❌ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
4 |
| To Swap or Not to Swap? Exploiting Dependency Word Pairs for Reordering in Statistical Machine Translation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Top-N Recommender System via Matrix Completion |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
7 |
| Topic Concentration in Query Focused Summarization Datasets |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Topic Models to Infer Socio-Economic Maps |
✅ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
3 |
| Topical Analysis of Interactions Between News and Social Media |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Toward Interactive Relational Learning |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Toward a Better Understanding of Deep Neural Network Based Acoustic Modelling: An Empirical Investigation |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Toward a Taxonomy and Computational Models of Abnormalities in Images |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Towards Clause-Learning State Space Search: Learning to Recognize Dead-Ends |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Towards Domain Adaptive Vehicle Detection in Satellite Image by Supervised Super-Resolution Transfer |
✅ |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
2 |
| Towards Optimal Binary Code Learning via Ordinal Embedding |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Towards Safe Semi-Supervised Learning for Multivariate Performance Measures |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Towards Structural Tractability in Hedonic Games |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Tracking Idea Flows between Social Groups |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Training Watson — A Cognitive Systems Course |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Transductive Zero-Shot Recognition via Shared Model Space Learning |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Transfer Learning for Cross-Language Text Categorization through Active Correspondences Construction |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Transfer Learning from Deep Features for Remote Sensing and Poverty Mapping |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Truncated Approximate Dynamic Programming with Task-Dependent Terminal Value |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Trust and Distrust Across Coalitions: Shapley Value Based Centrality Measures for Signed Networks (Student Abstract Version) |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| Tweet Timeline Generation with Determinantal Point Processes |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Two Efficient Local Search Algorithms for Maximum Weight Clique Problem |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Two-Stream Contextualized CNN for Fine-Grained Image Classification |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Uncertainty Propagation in Long-Term Structured Regression on Evolving Networks |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
3 |
| Uncorrelated Group LASSO |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Understanding City Traffic Dynamics Utilizing Sensor and Textual Observations |
✅ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| Understanding Dominant Factors for Precipitation over the Great Lakes Region |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Understanding Emerging Spatial Entities |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| Unfolding Temporal Dynamics: Predicting Social Media Popularity Using Multi-scale Temporal Decomposition |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Unsupervised Co-Activity Detection from Multiple Videos Using Absorbing Markov Chain |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Unsupervised Feature Selection by Heuristic Search with Provable Bounds on Suboptimality |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Unsupervised Feature Selection on Networks: A Generative View |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Unsupervised Feature Selection with Structured Graph Optimization |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Unsupervised Learning of HTNs in Complex Adversarial Domains |
❌ |
❌ |
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0 |
| Unsupervised Lexical Simplification for Non-Native Speakers |
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3 |
| Unsupervised Measure of Word Similarity: How to Outperform Co-Occurrence and Vector Cosine in VSMs |
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3 |
| User-Centric Affective Computing of Image Emotion Perceptions |
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0 |
| Using Convolutional Neural Networks to Analyze Function Properties from Images |
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1 |
| Using Correlated Strategies for Computing Stackelberg Equilibria in Extensive-Form Games |
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3 |
| Using Declarative Programming in an Introductory Computer Science Course for High School Students |
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0 |
| Using Decomposition-Parameters for QBF: Mind the Prefix! |
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0 |
| Using Domain Knowledge to Improve Monte-Carlo Tree Search Performance in Parameterized Poker Squares |
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1 |
| Using Multiple Representations to Simultaneously Learn Computational Thinking and Middle School Science |
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0 |
| Using the Shapley Value to Analyze Algorithm Portfolios |
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1 |
| VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback |
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3 |
| Variations on the Hotelling-Downs Model |
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0 |
| Verb Pattern: A Probabilistic Semantic Representation on Verbs |
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1 |
| Verifying ConGolog Programs on Bounded Situation Calculus Theories |
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1 |
| Veto-Consensus Multiple Kernel Learning |
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4 |
| Video Semantic Clustering with Sparse and Incomplete Tags |
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2 |
| Viral Clustering: A Robust Method to Extract Structures in Heterogeneous Datasets |
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3 |
| Visual Learning of Arithmetic Operation |
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1 |
| WWDS APIs: Application Programming Interfaces for Efficient Manipulation of World WordNet Database Structure |
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1 |
| Weighted A* Algorithms for Unsupervised Feature Selection with Provable Bounds on Suboptimality |
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2 |
| What Happens Next? Event Prediction Using a Compositional Neural Network Model |
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✅ |
✅ |
✅ |
❌ |
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4 |
| What’s Hot at RoboCup |
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0 |
| What’s Hot in Heuristic Search |
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0 |
| What’s Hot in Human Language Technology: Highlights from NAACL HLT 2015 |
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0 |
| What’s Hot in Intelligent User Interfaces |
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0 |
| What’s Hot in the Answer Set Programming Competition |
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3 |
| When Can the Maximin Share Guarantee Be Guaranteed? |
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0 |
| Who Can Win a Single-Elimination Tournament? |
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1 |
| Wishart Mechanism for Differentially Private Principal Components Analysis |
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1 |
| Write-righter: An Academic Writing Assistant System |
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1 |
| Writing Stories with Help from Recurrent Neural Networks |
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0 |
| Zero-Shot Event Detection by Multimodal Distributional Semantic Embedding of Videos |
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4 |
| Zero-Suppressed Sentential Decision Diagrams |
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4 |
| co-rank: An Online Tool for Collectively Deciding Efficient Rankings Among Peers |
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2 |