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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 31 /

No. 1: Thirty-First AAAI Conference On Artificial Intelligence

Applications

  • StructInf: Mining Structural Influence from Social Streams

    73

  • Novel Geometric Approach for Global Alignment of PPI Networks

    31

  • Towards Better Understanding the Clothing Fashion Styles: A Multimodal Deep Learning Approach

    38

  • Profit-Driven Team Grouping in Social Networks

    45

  • Gated Neural Networks for Option Pricing: Rationality by Design

    52

  • Local Discriminant Hyperalignment for Multi-Subject fMRI Data Alignment

    59

  • Volumetric ConvNets with Mixed Residual Connections for Automated Prostate Segmentation from 3D MR Images

    66

  • SnapNETS: Automatic Segmentation of Network Sequences with Node Labels

    3

  • Taming the Matthew Effect in Online Markets with Social Influence

    10

  • A Leukocyte Detection Technique in Blood Smear Images Using Plant Growth Simulation Algorithm

    17

  • Partitioned Sampling of Public Opinions Based on Their Social Dynamics

    24

Artificial Intelligence and the Web

  • Radon – Rapid Discovery of Topological Relations

    175

  • Web-Based Semantic Fragment Discovery for On-Line Lingual-Visual Similarity

    182

  • Exploiting both Vertical and Horizontal Dimensions of Feature Hierarchy for Effective Recommendation

    189

  • Phrase-Based Presentation Slides Generation for Academic Papers

    196

  • Community Preserving Network Embedding

    203

  • CLARE: A Joint Approach to Label Classification and Tag Recommendation

    210

  • Multiple Source Detection without Knowing the Underlying Propagation Model

    217

  • Learning Visual Sentiment Distributions via Augmented Conditional Probability Neural Network

    224

  • Visual Sentiment Analysis by Attending on Local Image Regions

    231

  • Correlated Cascades: Compete or Cooperate

    238

  • Finding Critical Users for Social Network Engagement: The Collapsed k-Core Problem

    245

  • Efficient Delivery Policy to Minimize User Traffic Consumption in Guaranteed Advertising

    252

  • Expectile Matrix Factorization for Skewed Data Analysis

    259

  • Transitive Hashing Network for Heterogeneous Multimedia Retrieval

    81

  • Marrying Uncertainty and Time in Knowledge Graphs

    88

  • TweetFit: Fusing Multiple Social Media and Sensor Data for Wellness Profile Learning

    95

  • POI2Vec: Geographical Latent Representation for Predicting Future Visitors

    102

  • A Dependency-Based Neural Reordering Model for Statistical Machine Translation

    109

  • Joint Identification of Network Communities and Semantics via Integrative Modeling of Network Topologies and Node Contents

    116

  • Random-Radius Ball Method for Estimating Closeness Centrality

    125

  • Read the Silence: Well-Timed Recommendation via Admixture Marked Point Processes

    132

  • Treatment Effect Estimation with Data-Driven Variable Decomposition

    140

  • A Declarative Approach to Data-Driven Fact Checking

    147

  • Semantic Proximity Search on Heterogeneous Graph by Proximity Embedding

    154

  • Multi-Task Deep Learning for User Intention Understanding in Speech Interaction Systems

    161

  • Understanding the Semantic Structures of Tables with a Hybrid Deep Neural Network Architecture

    168

Cognitive Modeling and Cognitive Systems

  • Associative Memory Using Dictionary Learning and Expander Decoding

    267

  • An Integrated Model for Effective Saliency Prediction

    274

Game Playing and Interactive Entertainment

  • The Efficiency of the HyperPlay Technique Over Random Sampling

    282

Game Theory and Economic Paradigms

  • Randomized Mechanisms for Selling Reserved Instances in Cloud

    750

  • Sequential Peer Prediction: Learning to Elicit Effort using Posted Prices

    607

  • An Ambiguity Aversion Model for Decision Making under Ambiguity

    614

  • Optimal Pricing for Submodular Valuations with Bounded Curvature

    622

  • On Covering Codes and Upper Bounds for the Dimension of Simple Games

    629

  • Tractable Algorithms for Approximate Nash Equilibria in Generalized Graphical Games with Tree Structure

    635

  • Recognising Multidimensional Euclidean Preferences

    642

  • Preferences Single-Peaked on a Circle

    649

  • Psychological Forest: Predicting Human Behavior

    656

  • Revenue Maximization for Finitely Repeated Ad Auctions

    663

  • Proportional Justified Representation

    670

  • Achieving Sustainable Cooperation in Generalized Prisoner’s Dilemma with Observation Errors

    677

  • Mechanism Design for Multi-Type Housing Markets

    684

  • Constrained Pure Nash Equilibria in Polymatrix Games

    691

  • Axiomatic Characterization of Game-Theoretic Network Centralities

    698

  • Social Choice Under Metric Preferences: Scoring Rules and STV

    706

  • Fans Economy and All-Pay Auctions with Proportional Allocations

    713

  • The Positronic Economist: A Computational System for Analyzing Economic Mechanisms

    720

  • Non-Additive Security Games

    728

  • The Dollar Auction with Spiteful Players

    736

  • Proper Proxy Scoring Rules

    743

  • The Computational Complexity of Weighted Greedy Matching

    466

  • On Markov Games Played by Bayesian and Boundedly-Rational Players

    473

  • The Complexity of Stable Matchings under Substitutable Preferences

    480

  • Small Representations of Big Kidney Exchange Graphs

    487

  • What Do Multiwinner Voting Rules Do? An Experiment Over the Two-Dimensional Euclidean Domain

    494

  • Extensive-Form Perfect Equilibrium Computation in Two-Player Games

    502

  • Selfish Knapsack

    509

  • Obvious Strategyproofness Needs Monitoring for Good Approximations

    516

  • Crowdsourced Outcome Determination in Prediction Markets

    523

  • Security Games on a Plane

    530

  • Engineering Agreement: The Naming Game with Asymmetric and Heterogeneous Agents

    537

  • Vote Until Two of You Agree: Mechanisms with Small Distortion and Sample Complexity

    544

  • Computing Least Cores of Supermodular Cooperative Games

    551

  • Heuristic Search Value Iteration for One-Sided Partially Observable Stochastic Games

    558

  • Group Activity Selection on Social Networks

    565

  • Resource Graph Games: A Compact Representation for Games with Structured Strategy Spaces

    572

  • Complexity of the Stable Invitations Problem

    579

  • Mechanism Design in Social Networks

    586

  • Optimal Personalized Defense Strategy Against Man-In-The-Middle Attack

    593

  • Network, Popularity and Social Cohesion: A Game-Theoretic Approach

    600

  • Strategic Signaling and Free Information Disclosure in Auctions

    319

  • Complexity of Manipulating Sequential Allocation

    328

  • Algorithms for Max-Min Share Fair Allocation of Indivisible Chores

    335

  • Nash Stability in Social Distance Games

    342

  • On Pareto Optimality in Social Distance Games

    349

  • Team-Maxmin Equilibrium: Efficiency Bounds and Algorithms

    356

  • A Study of Compact Reserve Pricing Languages

    363

  • Faster and Simpler Algorithm for Optimal Strategies of Blotto Game

    369

  • Preference Elicitation For Participatory Budgeting

    376

  • Exclusion Method for Finding Nash Equilibrium in Multiplayer Games

    383

  • Teams in Online Scheduling Polls: Game-Theoretic Aspects

    390

  • Probably Approximately Efficient Combinatorial Auctions via Machine Learning

    397

  • Phragmén’s Voting Methods and Justified Representation

    406

  • Multiwinner Approval Rules as Apportionment Methods

    414

  • Dynamic Thresholding and Pruning for Regret Minimization

    421

  • Optimizing Positional Scoring Rules for Rank Aggregation

    430

  • Disarmament Games

    437

  • Bounded Rationality of Restricted Turing Machines

    444

  • Winner Determination in Huge Elections with MapReduce

    451

  • Approximation and Parameterized Complexity of Minimax Approval Voting

    459

  • Market Pricing for Data Streams

    291

  • Automated Design of Robust Mechanisms

    298

  • Incentivising Monitoring in Open Normative Systems

    305

  • Envy-Free Mechanisms with Minimum Number of Cuts

    312

Heuristic Search and Optimization

  • Non-Monotone DR-Submodular Function Maximization

    898

  • Regret Ratio Minimization in Multi-Objective Submodular Function Maximization

    905

  • Value Compression of Pattern Databases

    912

  • A Fast Algorithm to Compute Maximum k-Plexes in Social Network Analysis

    919

  • A Unified Convex Surrogate for the Schatten-p Norm

    926

  • Efficient Stochastic Optimization for Low-Rank Distance Metric Learning

    933

  • Embedded Bandits for Large-Scale Black-Box Optimization

    758

  • Reactive Dialectic Search Portfolios for MaxSAT

    765

  • Efficient Parameter Importance Analysis via Ablation with Surrogates

    773

  • Problem Difficulty and the Phase Transition in Heuristic Search

    780

  • Automatic Logic-Based Benders Decomposition with MiniZinc

    787

  • Parallel Asynchronous Stochastic Variance Reduction for Nonconvex Optimization

    794

  • A Generic Bet-and-Run Strategy for Speeding Up Stochastic Local Search

    801

  • The Simultaneous Maze Solving Problem

    808

  • Going Beyond Primal Treewidth for (M)ILP

    815

  • Efficient Hyperparameter Optimization for Deep Learning Algorithms Using Deterministic RBF Surrogates

    822

  • An Exact Algorithm for the Maximum Weight Clique Problem in Large Graphs

    830

  • Learning to Prune Dominated Action Sequences in Online Black-Box Planning

    839

  • Systematic Exploration of Larger Local Search Neighborhoods for the Minimum Vertex Cover Problem

    846

  • New Lower Bound for the Minimum Sum Coloring Problem

    853

  • Anytime Anyspace AND/OR Search for Bounding the Partition Function

    860

  • Dancing with Decision Diagrams: A Combined Approach to Exact Cover

    868

  • Solving High-Dimensional Multi-Objective Optimization Problems with Low Effective Dimensions

    875

  • Automated Data Extraction Using Predictive Program Synthesis

    882

  • Grid Pathfinding on the 2k Neighborhoods

    891

Human-Aware Artificial Intelligence

  • Examples-Rules Guided Deep Neural Network for Makeup Recommendation

    941

  • Predicting Latent Narrative Mood Using Audio and Physiologic Data

    948

  • Collaborative Planning with Encoding of Users’ High-Level Strategies

    955

Human Computation and Crowd Sourcing

  • Long-Term Trends in the Public Perception of Artificial Intelligence

    963

  • A Theoretical Analysis of First Heuristics of Crowdsourced Entity Resolution

    970

  • Pairwise HITS: Quality Estimation from Pairwise Comparisons in Creator-Evaluator Crowdsourcing Process

    977

Humans and Artificial Intelligence

  • The Benefit in Free Information Disclosure When Selling Information to People

    985

  • Psychologically Based Virtual-Suspect for Interrogative Interview Training

    993

  • PIVE: Per-Iteration Visualization Environment for Real-Time Interactions with Dimension Reduction and Clustering

    1001

  • JAG: A Crowdsourcing Framework for Joint Assessment and Peer Grading

    1010

  • On Human Intellect and Machine Failures: Troubleshooting Integrative Machine Learning Systems

    1017

  • Capturing Dependencies among Labels and Features for Multiple Emotion Tagging of Multimedia Data

    1026

Knowledge Representation and Reasoning

  • Don’t Forget the Quantifiable Relationship between Words: Using Recurrent Neural Network for Short Text Topic Discovery

    1192

  • The Symbolic Interior Point Method

    1199

  • Small Is Beautiful: Computing Minimal Equivalent EL Concepts

    1206

  • Compiling Graph Substructures into Sentential Decision Diagrams

    1213

  • Efficient Evaluation of Answer Set Programs with External Sources Based on External Source Inlining

    1222

  • On Equivalence and Inconsistency of Answer Set Programs with External Sources

    1229

  • ProjE: Embedding Projection for Knowledge Graph Completion

    1236

  • Non-Parametric Estimation of Multiple Embeddings for Link Prediction on Dynamic Knowledge Graphs

    1243

  • Causal Discovery Using Regression-Based Conditional Independence Tests

    1250

  • An Improved Algorithm for Learning to Perform Exception-Tolerant Abduction

    1257

  • Trust-Sensitive Evolution of DL-Lite Knowledge Bases

    1266

  • Abstraction in Situation Calculus Action Theories

    1048

  • Source Information Disclosure in Ontology-Based Data Integration

    1056

  • Ontology-Mediated Queries for Probabilistic Databases

    1063

  • Ontology-Based Data Access with a Horn Fragment of Metric Temporal Logic

    1070

  • Solving Advanced Argumentation Problems with Answer-Set Programming

    1077

  • Checking the Consistency of Combined Qualitative Constraint Networks

    1084

  • Add Data into Business Process Verification: Bridging the Gap between Theory and Practice

    1091

  • Practical TBox Abduction Based on Justification Patterns

    1100

  • The Unusual Suspects: Deep Learning Based Mining of Interesting Entity Trivia from Knowledge Graphs

    1107

  • Ontology Materialization by Abstraction Refinement in Horn SHOIF

    1114

  • Number Restrictions on Transitive Roles in Description Logics with Nominals

    1121

  • Strategic Sequences of Arguments for Persuasion Using Decision Trees

    1128

  • Preferential Structures for Comparative Probabilistic Reasoning

    1135

  • Query Answering in DL-Lite with Datatypes: A Non-Uniform Approach

    1142

  • Diagnosability Planning for Controllable Discrete Event Systems

    1149

  • Entropic Causal Inference

    1156

  • SAT Encodings for Distance-Based Belief Merging Operators

    1163

  • LPMLN, Weak Constraints, and P-log

    1170

  • Graph-Based Wrong IsA Relation Detection in a Large-Scale Lexical Taxonomy

    1178

  • On the Transitivity of Hypernym-Hyponym Relations in Data-Driven Lexical Taxonomies

    1185

  • On the Computation of Paracoherent Answer Sets

    1034

  • Polynomially Bounded Logic Programs with Function Symbols: A New Decidable

    1041

Machine Learning Applications

  • Discriminative Semi-Supervised Dictionary Learning with Entropy Regularization for Pattern Classification

    1626

  • Fine-Grained Recurrent Neural Networks for Automatic Prostate Segmentation in Ultrasound Images

    1633

  • Knowledge Transfer for Deep Reinforcement Learning with Hierarchical Experience Replay

    1640

  • Personalized Donor-Recipient Matching for Organ Transplantation

    1647

  • Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction

    1655

  • Robust Manifold Matrix Factorization for Joint Clustering and Feature Extraction

    1662

  • Discrete Personalized Ranking for Fast Collaborative Filtering from Implicit Feedback

    1669

  • Catch’Em All: Locating Multiple Diffusion Sources in Networks with Partial Observations

    1676

  • Learning Implicit Tasks for Patient-Specific Risk Modeling in ICU

    1481

  • Enabling Dark Energy Science with Deep Generative Models of Galaxy Images

    1488

  • Unsupervised Deep Learning for Optical Flow Estimation

    1495

  • Low-Rank Linear Cold-Start Recommendation from Social Data

    1502

  • Exploring Normalization in Deep Residual Networks with Concatenated Rectified Linear Units

    1509

  • Portfolio Selection via Subset Resampling

    1517

  • Beyond IID: Learning to Combine Non-IID Metrics for Vision Tasks

    1524

  • Fast Inverse Reinforcement Learning with Interval Consistent Graph for Driving Behavior Prediction

    1532

  • Neural Programming by Example

    1539

  • Simultaneous Clustering and Ensemble

    1546

  • A Deep Hierarchical Approach to Lifelong Learning in Minecraft

    1553

  • Learning Attributes from the Crowdsourced Relative Labels

    1562

  • Coupling Implicit and Explicit Knowledge for Customer Volume Prediction

    1569

  • Beyond Monte Carlo Tree Search: Playing Go with Deep Alternative Neural Network and Long-Term Evaluation

    1576

  • Multiset Feature Learning for Highly Imbalanced Data Classification

    1583

  • Adverse Drug Reaction Prediction with Symbolic Latent Dirichlet Allocation

    1590

  • Modeling the Intensity Function of Point Process Via Recurrent Neural Networks

    1597

  • Progressive Prediction of Student Performance in College Programs

    1604

  • Bridging Video Content and Comments: Synchronized Video Description with Temporal Summarization of Crowdsourced Time-Sync Comments

    1611

  • Pairwise Relationship Guided Deep Hashing for Cross-Modal Retrieval

    1618

  • Active Learning with Cross-Class Similarity Transfer

    1338

  • DeepFix: Fixing Common C Language Errors by Deep Learning

    1345

  • Question Difficulty Prediction for READING Problems in Standard Tests

    1352

  • Additional Multi-Touch Attribution for Online Advertising

    1360

  • Multitask Dyadic Prediction and Its Application in Prediction of Adverse Drug-Drug Interaction

    1367

  • Semi-Supervised Multi-View Correlation Feature Learning with Application to Webpage Classification

    1374

  • Contextual RNN-GANs for Abstract Reasoning Diagram Generation

    1382

  • A Framework for Minimal Clustering Modification via Constraint Programming

    1389

  • Knowing What to Ask: A Bayesian Active Learning Approach to the Surveying Problem

    1396

  • ERMMA: Expected Risk Minimization for Matrix Approximation-based Recommender Systems

    1403

  • Learning with Feature Network and Label Network Simultaneously

    1410

  • Collaborative Company Profiling: Insights from an Employee’s Perspective

    1417

  • ESPACE: Accelerating Convolutional Neural Networks via Eliminating Spatial and Channel Redundancy

    1424

  • A Sparse Dictionary Learning Framework to Discover Discriminative Source Activations in EEG Brain Mapping

    1431

  • On Predictive Patent Valuation: Forecasting Patent Citations and Their Types

    1438

  • Let Your Photos Talk: Generating Narrative Paragraph for Photo Stream via Bidirectional Attention Recurrent Neural Networks

    1445

  • Data-Driven Approximations to NP-Hard Problems

    1453

  • Predicting Demographics of High-Resolution Geographies with Geotagged Tweets

    1460

  • Finding Cut from the Same Cloth: Cross Network Link Recommendation via Joint Matrix Factorization

    1467

  • FeaBoost: Joint Feature and Label Refinement for Semantic Segmentation

    1474

  • Explicit Defense Actions Against Test-Set Attacks

    1274

  • Multidimensional Scaling on Multiple Input Distance Matrices

    1281

  • ICU Mortality Prediction: A Classification Algorithm for Imbalanced Datasets

    1288

  • GLOMA: Embedding Global Information in Local Matrix Approximation Models for Collaborative Filtering

    1295

  • Predicting Soccer Highlights from Spatio-Temporal Match Event Streams

    1302

  • A Hybrid Collaborative Filtering Model with Deep Structure for Recommender Systems

    1309

  • Collaborative Dynamic Sparse Topic Regression with User Profile Evolution for Item Recommendation

    1316

  • Event Video Mashup: From Hundreds of Videos to Minutes of Skeleton

    1323

  • Soft Video Parsing by Label Distribution Learning

    1331

Machine Learning Methods

  • Learning Sparse Task Relations in Multi-Task Learning

    2914

  • Multi-View Clustering via Deep Matrix Factorization

    2921

  • SCOPE: Scalable Composite Optimization for Learning on Spark

    2928

  • Lock-Free Optimization for Non-Convex Problems

    2935

  • Scalable Graph Embedding for Asymmetric Proximity

    2942

  • Bilinear Probabilistic Canonical Correlation Analysis via Hybrid Concatenations

    2949

  • Parametric Dual Maximization for Non-Convex Learning Problems

    2956

  • One-Step Spectral Clustering via Dynamically Learning Affinity Matrix and Subspace

    2963

  • Multi-Kernel Low-Rank Dictionary Pair Learning for Multiple Features Based Image Classification

    2970

  • Discover Multiple Novel Labels in Multi-Instance Multi-Label Learning

    2977

  • Improving Efficiency of SVM k-Fold Cross-Validation by Alpha Seeding

    2768

  • Rank Ordering Constraints Elimination with Application for Kernel Learning

    2775

  • Solving Indefinite Kernel Support Vector Machine with Difference of Convex Functions Programming

    2782

  • Cleaning the Null Space: A Privacy Mechanism for Predictors

    2789

  • Efficient Non-Oblivious Randomized Reduction for Risk Minimization with Improved Excess Risk Guarantee

    2796

  • A General Efficient Hyperparameter-Free Algorithm for Convolutional Sparse Learning

    2803

  • Multi-View Correlated Feature Learning by Uncovering Shared Component

    2810

  • A Framework of Online Learning with Imbalanced Streaming Data

    2817

  • TaGiTeD: Predictive Task Guided Tensor Decomposition for Representation Learning from Electronic Health Records

    2824

  • Deep Learning for Fixed Model Reuse

    2831

  • Learning Deep Latent Space for Multi-Label Classification

    2838

  • A Unified Algorithm for One-Cass Structured Matrix Factorization with Side Information

    2845

  • SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient

    2852

  • CBRAP: Contextual Bandits with RAndom Projection

    2859

  • An Exact Penalty Method for Binary Optimization Based on MPEC Formulation

    2867

  • Scalable Feature Selection via Distributed Diversity Maximization

    2876

  • Fast Compressive Phase Retrieval under Bounded Noise

    2884

  • Query-Efficient Imitation Learning for End-to-End Simulated Driving

    2891

  • Growing Interpretable Part Graphs on ConvNets via Multi-Shot Learning

    2898

  • Universum Prescription: Regularization Using Unlabeled Data

    2907

  • How to Train a Compact Binary Neural Network with High Accuracy?

    2625

  • Policy Search with High-Dimensional Context Variables

    2632

  • Coactive Critiquing: Elicitation of Preferences and Features

    2639

  • Importance Sampling with Unequal Support

    2646

  • Achieving Privacy in the Adversarial Multi-Armed Bandit

    2653

  • Thompson Sampling for Stochastic Bandits with Graph Feedback

    2660

  • Selecting Sequences of Items via Submodular Maximization

    2667

  • Variable Kernel Density Estimation in High-Dimensional Feature Spaces

    2674

  • Regularization for Unsupervised Deep Neural Nets

    2681

  • Relational Deep Learning: A Deep Latent Variable Model for Link Prediction

    2688

  • Factorization Bandits for Interactive Recommendation

    2695

  • Latent Smooth Skeleton Embedding

    2703

  • Polynomial Optimization Methods for Matrix Factorization

    2710

  • Two-Dimensional PCA with F-Norm Minimization

    2718

  • Feature Selection Guided Auto-Encoder

    2725

  • Fredholm Multiple Kernel Learning for Semi-Supervised Domain Adaptation

    2732

  • Fast Online Incremental Learning on Mixture Streaming Data

    2739

  • Efficient Ordered Combinatorial Semi-Bandits for Whole-Page Recommendation

    2746

  • Unbiased Multivariate Correlation Analysis

    2754

  • Beyond RPCA: Flattening Complex Noise in the Frequency Domain

    2761

  • Column Networks for Collective Classification

    2485

  • A General Clustering Agreement Index: For Comparing Disjoint and Overlapping Clusters

    2492

  • Non-Negative Inductive Matrix Completion for Discrete Dyadic Data

    2499

  • Online Active Linear Regression via Thresholding

    2506

  • Adaptive Proximal Average Approximation for Composite Convex Minimization

    2513

  • Random Features for Shift-Invariant Kernels with Moment Matching

    2520

  • Compressed K-Means for Large-Scale Clustering

    2527

  • Patch Reordering: A NovelWay to Achieve Rotation and Translation Invariance in Convolutional Neural Networks

    2534

  • Asymmetric Discrete Graph Hashing

    2541

  • Spectral Clustering with Brainstorming Process for Multi-View Data

    2548

  • Parameter Free Large Margin Nearest Neighbor for Distance Metric Learning

    2555

  • Multilinear Regression for Embedded Feature Selection with Application to fMRI Analysis

    2562

  • Distributed Negative Sampling for Word Embeddings

    2569

  • Label-Free Supervision of Neural Networks with Physics and Domain Knowledge

    2576

  • Unsupervised Learning with Truncated Gaussian Graphical Models

    2583

  • Automatic Curriculum Graph Generation for Reinforcement Learning Agents

    2590

  • Self-Correcting Models for Model-Based Reinforcement Learning

    2597

  • Distant Domain Transfer Learning

    2604

  • Confidence-Rated Discriminative Partial Label Learning

    2611

  • Cross-Domain Ranking via Latent Space Learning

    2618

  • When and Why Are Deep Networks Better Than Shallow Ones?

    2343

  • Lifted Inference for Convex Quadratic Programs

    2350

  • Poisson Sum-Product Networks: A Deep Architecture for Tractable Multivariate Poisson Distributions

    2357

  • Deep Collective Inference

    2364

  • Streaming Classification with Emerging New Class by Class Matrix Sketching

    2373

  • Deep Hashing: A Joint Approach for Image Signature Learning

    2380

  • Tsallis Regularized Optimal Transport and Ecological Inference

    2387

  • The Multivariate Generalised von Mises Distribution: Inference and Applications

    2394

  • Querying Partially Labelled Data to Improve a K-nn Classifier

    2401

  • Multi-View Clustering and Semi-Supervised Classification with Adaptive Neighbours

    2408

  • Multiclass Capped ℓp-Norm SVM for Robust Classifications

    2415

  • Unsupervised Large Graph Embedding

    2422

  • Matching Node Embeddings for Graph Similarity

    2429

  • Inductive Pairwise Ranking: Going Beyond the n log(n) Barrier

    2436

  • Active Search in Intensionally Specified Structured Spaces

    2443

  • Top-k Hierarchical Classification

    2450

  • Unimodal Thompson Sampling for Graph-Structured Arms

    2457

  • Accelerated Gradient Temporal Difference Learning

    2464

  • A General Framework for Sparsity Regularized Feature Selection via Iteratively Reweighted Least Square Minimization

    2471

  • Cascade Subspace Clustering

    2478

  • Large Graph Hashing with Spectral Rotation

    2203

  • Low-Rank Tensor Completion with Total Variation for Visual Data Inpainting

    2210

  • Learning Safe Prediction for Semi-Supervised Regression

    2217

  • A Two-Stage Approach for Learning a Sparse Model with Sharp Excess Risk Analysis

    2224

  • Balanced Clustering with Least Square Regression

    2231

  • Ordinal Constrained Binary Code Learning for Nearest Neighbor Search

    2238

  • Sparse Deep Transfer Learning for Convolutional Neural Network

    2245

  • Cost-Sensitive Feature Selection via F-Measure Optimization Reduction

    2252

  • Multiple Kernel k-Means with Incomplete Kernels

    2259

  • Optimal Neighborhood Kernel Clustering with Multiple Kernels

    2266

  • Generalization Analysis for Ranking Using Integral Operator

    2273

  • Infinite Kernel Learning: Generalization Bounds and Algorithms

    2280

  • Accelerated Variance Reduced Stochastic ADMM

    2287

  • Semi-Supervised Classifications via Elastic and Robust Embedding

    2294

  • Approximate Conditional Gradient Descent on Multi-Class Classification

    2301

  • Probabilistic Non-Negative Matrix Factorization and Its Robust Extensions for Topic Modeling

    2308

  • Active Search for Sparse Signals with Region Sensing

    2315

  • Where to Add Actions in Human-in-the-Loop Reinforcement Learning

    2322

  • Asynchronous Stochastic Proximal Optimization Algorithms with Variance Reduction

    2329

  • Generalization Error Bounds for Optimization Algorithms via Stability

    2336

  • Denoising Criterion for Variational Auto-Encoding Framework

    2059

  • Recovering True Classifier Performance in Positive-Unlabeled Learning

    2066

  • Generalized Ambiguity Decompositions for Classification with Applications in Active Learning and Unsupervised Ensemble Pruning

    2073

  • Twin Learning for Similarity and Clustering: A Unified Kernel Approach

    2080

  • Tunable Sensitivity to Large Errors in Neural Network Training

    2087

  • Binary Embedding with Additive Homogeneous Kernels

    2094

  • Structured Inference Networks for Nonlinear State Space Models

    2101

  • Estimating Uncertainty Online Against an Adversary

    2110

  • Learning Non-Linear Dynamics of Decision Boundaries for Maintaining Classification Performance

    2117

  • Identifying Unknown Unknowns in the Open World: Representations and Policies for Guided Exploration

    2124

  • Dynamic Action Repetition for Deep Reinforcement Learning

    2133

  • Playing FPS Games with Deep Reinforcement Learning

    2140

  • Transfer Reinforcement Learning with Shared Dynamics

    2147

  • Transfer Learning for Deep Learning on Graph-Structured Data

    2154

  • Efficient Online Model Adaptation by Incremental Simplex Tableau

    2161

  • Multivariate Hawkes Processes for Large-Scale Inference

    2168

  • Self-Paced Multi-Task Learning

    2175

  • Infinitely Many-Armed Bandits with Budget Constraints

    2182

  • Sparse Subspace Clustering by Learning Approximation ℓ0 Codes

    2189

  • Riemannian Submanifold Tracking on Low-Rank Algebraic Variety

    2196

  • Exploring Commonality and Individuality for Multi-Modal Curriculum Learning

    1926

  • MPGL: An Efficient Matching Pursuit Method for Generalized LASSO

    1934

  • Weighted Bandits or: How Bandits Learn Distorted Values That Are Not Expected

    1941

  • Efficient Sparse Low-Rank Tensor Completion Using the Frank-Wolfe Algorithm

    1948

  • Convex Co-Embedding for Matrix Completion with Predictive Side Information

    1955

  • Continuous Conditional Dependency Network for Structured Regression

    1962

  • Bilateral k-Means Algorithm for Fast Co-Clustering

    1969

  • Alternating Back-Propagation for Generator Network

    1976

  • Enumerate Lasso Solutions for Feature Selection

    1985

  • Scalable Algorithm for Higher-Order Co-Clustering via Random Sampling

    1992

  • Learning Invariant Deep Representation for NIR-VIS Face Recognition

    2000

  • A Generalized Stochastic Variational Bayesian Hyperparameter Learning Framework for Sparse Spectrum Gaussian Process Regression

    2007

  • Semi-Supervised Adaptive Label Distribution Learning for Facial Age Estimation

    2015

  • Sampling Beats Fixed Estimate Predictors for Cloning Stochastic Behavior in Multiagent Systems

    2022

  • Sequential Classification-Based Optimization for Direct Policy Search

    2029

  • A Riemannian Network for SPD Matrix Learning

    2036

  • Asynchronous Mini-Batch Gradient Descent with Variance Reduction for Non-Convex Optimization

    2043

  • Learning Unitary Operators with Help From u(n)

    2050

  • Low-Rank Factorization of Determinantal Point Processes

    1912

  • Robust Loss Functions under Label Noise for Deep Neural Networks

    1919

  • Informative Subspace Learning for Counterfactual Inference

    1770

  • PAC Identification of a Bandit Arm Relative to a Reward Quantile

    1777

  • Classification with Minimax Distance Measures

    1784

  • Latent Discriminant Analysis with Representative Feature Discovery

    1791

  • Near-Optimal Active Learning of Halfspaces via Query Synthesis in the Noisy Setting

    1798

  • Sparse Boltzmann Machines with Structure Learning as Applied to Text Analysis

    1805

  • Communication Lower Bounds for Distributed Convex Optimization: Partition Data on Features

    1812

  • OFFER: Off-Environment Reinforcement Learning

    1819

  • Addressing Imbalance in Multi-Label Classification Using Structured Hellinger Forests

    1826

  • Nonlinear Dynamic Boltzmann Machines for Time-Series Prediction

    1833

  • Estimating the Maximum Expected Value in Continuous Reinforcement Learning Problems

    1840

  • Scalable Multitask Policy Gradient Reinforcement Learning

    1847

  • From Shared Subspaces to Shared Landmarks: A Robust Multi-Source Classification Approach

    1854

  • A Nearly-Black-Box Online Algorithm for Joint Parameter and State Estimation in Temporal Models

    1861

  • Structure Regularized Unsupervised Discriminant Feature Analysis

    1870

  • Self-Paced Learning: An Implicit Regularization Perspective

    1877

  • Deep MIML Network

    1884

  • Modeling Skewed Class Distributions by Reshaping the Concept Space

    1891

  • On Learning High Dimensional Structured Single Index Models

    1898

  • Local Centroids Structured Non-Negative Matrix Factorization

    1905

  • Learning Bayesian Networks with Incomplete Data by Augmentation

    1684

  • Unsupervised Domain Adaptation with a Relaxed Covariate Shift Assumption

    1691

  • Scalable Optimization of Multivariate Performance Measures in Multi-instance Multi-label Learning

    1698

  • The Bernstein Mechanism: Function Release under Differential Privacy

    1705

  • Heavy-Tailed Analogues of the Covariance Matrix for ICA

    1712

  • Fast Generalized Distillation for Semi-Supervised Domain Adaptation

    1719

  • The Option-Critic Architecture

    1726

  • Label Efficient Learning by Exploiting Multi-Class Output Codes

    1735

  • Robust Partially-Compressed Least-Squares

    1742

  • Learning Residual Alternating Automata

    1749

  • Resource Constrained Structured Prediction

    1756

  • Cross-Domain Kernel Induction for Transfer Learning

    1763

Multiagent Systems

  • Improving Surveillance Using Cooperative Target Observation

    2985

  • Query Complexity of Tournament Solutions

    2992

  • Centralized versus Personalized Commitments and Their Influence on Cooperation in Group Interactions

    2999

  • Kont: Computing Tradeoffs in Normative Multiagent Systems

    3006

  • Parameterised Verification of Infinite State Multi-Agent Systems via Predicate Abstraction

    3013

  • Decentralized Planning in Stochastic Environments with Submodular Rewards

    3021

  • Solving Seven Open Problems of Offline and Online Control in Borda Elections

    3029

  • Collective Multiagent Sequential Decision Making Under Uncertainty

    3036

  • Nurturing Group-Beneficial Information-Gathering Behaviors Through Above-Threshold Criteria Setting

    3044

Natural Language Processing and Knowledge Representation

  • Distant Supervision for Relation Extraction with Sentence-Level Attention and Entity Descriptions

    3060

  • Neural Bag-of-Ngrams

    3067

  • SummaRuNNer: A Recurrent Neural Network Based Sequence Model for Extractive Summarization of Documents

    3075

  • Unit Dependency Graph and Its Application to Arithmetic Word Problem Solving

    3082

  • Prerequisite Skills for Reading Comprehension: Multi-Perspective Analysis of MCTest Datasets and Systems

    3089

  • Neural Machine Translation with Reconstruction

    3097

  • SSP: Semantic Space Projection for Knowledge Graph Embedding with Text Descriptions

    3104

  • Efficiently Answering Technical Questions — A Knowledge Graph Approach

    3111

  • Incorporating Knowledge Graph Embeddings into Topic Modeling

    3119

  • A Context-Enriched Neural Network Method for Recognizing Lexical Entailment

    3127

  • Improving Multi-Document Summarization via Text Classification

    3053

Natural Language Processing and Machine Learning

  • Topic Aware Neural Response Generation

    3351

  • Variational Autoencoder for Semi-Supervised Text Classification

    3358

  • Neural Models for Sequence Chunking

    3365

  • BattRAE: Bidimensional Attention-Based Recursive Autoencoders for Learning Bilingual Phrase Embeddings

    3372

  • Bilingual Lexicon Induction from Non-Parallel Data with Minimal Supervision

    3379

  • Active Discriminative Text Representation Learning

    3386

  • Learning Context-Specific Word/Character Embeddings

    3393

  • Mechanism-Aware Neural Machine for Dialogue Response Generation

    3400

  • Disambiguating Spatial Prepositions Using Deep Convolutional Networks

    3209

  • A Unified Model for Cross-Domain and Semi-Supervised Named Entity Recognition in Chinese Social Media

    3216

  • Recurrent Attentional Topic Model

    3223

  • Representations of Context in Recognizing the Figurative and Literal Usages of Idioms

    3230

  • Deterministic Attention for Sequence-to-Sequence Constituent Parsing

    3237

  • S2JSD-LSH: A Locality-Sensitive Hashing Schema for Probability Distributions

    3244

  • Coherent Dialogue with Attention-Based Language Models

    3252

  • Definition Modeling: Learning to Define Word Embeddings in Natural Language

    3259

  • Incrementally Learning the Hierarchical Softmax Function for Neural Language Models

    3267

  • Condensed Memory Networks for Clinical Diagnostic Inferencing

    3274

  • Robsut Wrod Reocginiton via Semi-Character Recurrent Neural Network

    3281

  • Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation

    3288

  • A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues

    3295

  • Lattice-Based Recurrent Neural Network Encoders for Neural Machine Translation

    3302

  • Semantic Parsing with Neural Hybrid Trees

    3309

  • Coupled Multi-Layer Attentions for Co-Extraction of Aspect and Opinion Terms

    3316

  • Dual-Clustering Maximum Entropy with Application to Classification and Word Embedding

    3323

  • Neural Machine Translation Advised by Statistical Machine Translation

    3330

  • A Dynamic Window Neural Network for CCG Supertagging

    3337

  • Distinguish Polarity in Bag-of-Words Visualization

    3344

  • Bayesian Neural Word Embedding

    3135

  • Improving Word Embeddings with Convolutional Feature Learning and Subword Information

    3144

  • Joint Copying and Restricted Generation for Paraphrase

    3152

  • Unsupervised Learning of Evolving Relationships Between Literary Characters

    3159

  • Translation Prediction with Source Dependency-Based Context Representation

    3166

  • Maximum Reconstruction Estimation for Generative Latent-Variable Models

    3173

  • Incorporating Expert Knowledge into Keyphrase Extraction

    3180

  • Unsupervised Learning for Lexicon-Based Classification

    3188

  • Open-Vocabulary Semantic Parsing with both Distributional Statistics and Formal Knowledge

    3195

  • Geometry of Compositionality

    3202

Natural Language Processing and Text Mining

  • Salience Estimation via Variational Auto-Encoders for Multi-Document Summarization

    3497

  • Collaborative User Clustering for Short Text Streams

    3504

  • Word Embedding Based Correlation Model for Question/Answer Matching

    3511

  • Greedy Flipping for Constrained Word Deletion

    3518

  • Attentive Interactive Neural Networks for Answer Selection in Community Question Answering

    3525

  • Community-Based Question Answering via Asymmetric Multi-Faceted Ranking Network Learning

    3532

  • Bootstrapping Distantly Supervised IE Using Joint Learning and Small Well-Structured Corpora

    3408

  • Using Discourse Signals for Robust Instructor Intervention Prediction

    3415

  • Automatic Emphatic Information Extraction from Aligned Acoustic Data and Its Application on Sentence Compression

    3422

  • Unsupervised Sentiment Analysis with Signed Social Networks

    3429

  • Recurrent Neural Networks with Auxiliary Labels for Cross-Domain Opinion Target Extraction

    3436

  • Distant Supervision via Prototype-Based Global Representation Learning

    3443

  • What Happens Next? Future Subevent Prediction Using Contextual Hierarchical LSTM

    3450

  • Efficient Dependency-Guided Named Entity Recognition

    3457

  • Improving Event Causality Recognition with Multiple Background Knowledge Sources Using Multi-Column Convolutional Neural Networks

    3466

  • Efficiently Mining High Quality Phrases from Texts

    3474

  • Learning Latent Sentiment Scopes for Entity-Level Sentiment Analysis

    3482

  • Structural Correspondence Learning for Cross-Lingual Sentiment Classification with One-to-Many Mappings

    3490

Planning and Scheduling

  • Schematic Invariants by Reduction to Ground Invariants

    3644

  • Narrowing the Gap Between Saturated and Optimal Cost Partitioning for Classical Planning

    3651

  • Incorporating Domain-Independent Planning Heuristics in Hierarchical Planning

    3658

  • Computational Issues in Time-Inconsistent Planning

    3665

  • Accelerated Vector Pruning for Optimal POMDP Solvers

    3672

  • When to Reset Your Keys: Optimal Timing of Security Updates via Learning

    3679

  • Human-Aware Plan Recognition

    3686

  • Plan Reordering and Parallel Execution — A Parameterized Complexity View

    3540

  • Validating Domains and Plans for Temporal Planning via Encoding into Infinite-State Linear Temporal Logic

    3547

  • On the Disruptive Effectiveness of Automated Planning for LTLf-Based Trace Alignment

    3555

  • Bounding the Probability of Resource Constraint Violations in Multi-Agent MDPs

    3562

  • Optimizing Quantiles in Preference-Based Markov Decision Processes

    3569

  • An Analysis of Monte Carlo Tree Search

    3576

  • An Efficient Approach to Model-Based Hierarchical Reinforcement Learning

    3583

  • Best-First Width Search: Exploration and Exploitation in Classical Planning

    3590

  • Robust Execution of Probabilistic Temporal Plans

    3597

  • Multi-Agent Path Finding with Delay Probabilities

    3605

  • Logical Filtering and Smoothing: State Estimation in Partially Observable Domains

    3613

  • Landmark-Based Heuristics for Goal Recognition

    3622

  • Fast SSP Solvers Using Short-Sighted Labeling

    3629

  • Higher-Dimensional Potential Heuristics for Optimal Classical Planning

    3636

Reasoning under Uncertainty

  • Hindsight Optimization for Hybrid State and Action MDPs

    3790

  • I See What You See: Inferring Sensor and Policy Models of Human Real-World Motor Behavior

    3797

  • Solving Constrained Combinatorial Optimisation Problems via MAP Inference without High-Order Penalties

    3804

  • Anytime Best+Depth-First Search for Bounding Marginal MAP

    3775

  • Multi-Objective Influence Diagrams with Possibly Optimal Policies

    3783

  • Minimal Undefinedness for Fuzzy Answer Sets

    3694

  • Open-Universe Weighted Model Counting

    3701

  • Deterministic versus Probabilistic Methods for Searching for an Evasive Target

    3709

  • Non-Deterministic Planning with Temporally Extended Goals: LTL over Finite and Infinite Traces

    3716

  • Optimizing Expectation with Guarantees in POMDPs

    3725

  • Latent Dependency Forest Models

    3733

  • Causal Effect Identification by Adjustment under Confounding and Selection Biases

    3740

  • The Linearization of Belief Propagation on Pairwise Markov Random Fields

    3747

  • The Kernel Kalman Rule — Efficient Nonparametric Inference with Recursive Least Squares

    3754

  • Misspecified Linear Bandits

    3761

  • Reasoning about Cognitive Trust in Stochastic Multiagent Systems

    3768

Robotics

  • Deep Learning Quadcopter Control via Risk-Aware Active Learning

    3812

  • Latent Dirichlet Allocation for Unsupervised Activity Analysis on an Autonomous Mobile Robot

    3819

  • Unsupervised Feature Learning for 3D Scene Reconstruction with Occupancy Maps

    3827

  • Grounded Action Transformation for Robot Learning in Simulation

    3834

  • A Diversified Generative Latent Variable Model for WiFi-SLAM

    3841

  • Associate Latent Encodings in Learning from Demonstrations

    3848

  • Dynamically Constructed (PO)MDPs for Adaptive Robot Planning

    3855

Search and Constraint Satisfaction

  • RQUERY: Rewriting Natural Language Queries on Knowledge Graphs to Alleviate the Vocabulary Mismatch Problem

    3936

  • CoCoA: A Non-Iterative Approach to a Local Search (A)DCOP Solver

    3944

  • Extending Compact-Table to Negative and Short Tables

    3951

  • General Bounds on Satisfiability Thresholds for Random CSPs via Fourier Analysis

    3958

  • A SAT-Based Approach for Solving the Modal Logic S5-Satisfiability Problem

    3864

  • A BTP-Based Family of Variable Elimination Rules for Binary CSPs

    3871

  • Algorithms for Deciding Counting Quantifiers over Unary Predicates

    3878

  • Maximum Model Counting

    3885

  • Phase Transitions for Scale-Free SAT Formulas

    3893

  • The Opacity of Backbones

    3900

  • Between Subgraph Isomorphism and Maximum Common Subgraph

    3907

  • Should Algorithms for Random SAT and Max-SAT Be Different?

    3915

  • Soft and Cost MDD Propagators

    3922

  • Rigging Nearly Acyclic Tournaments Is Fixed-Parameter Tractable

    3929

Vision

  • Online Multi-Target Tracking Using Recurrent Neural Networks

    4225

  • Text-Guided Attention Model for Image Captioning

    4233

  • Fully Convolutional Neural Networks with Full-Scale-Features for Semantic Segmentation

    4240

  • Title Learning Latent Subevents in Activity Videos Using Temporal Attention Filters

    4247

  • Privacy-Preserving Human Activity Recognition from Extreme Low Resolution

    4255

  • An End-to-End Spatio-Temporal Attention Model for Human Action Recognition from Skeleton Data

    4263

  • Depth CNNs for RGB-D Scene Recognition: Learning from Scratch Better than Transferring from RGB-CNNs

    4271

  • Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning

    4278

  • Image Cosegmentation via Saliency-Guided Constrained Clustering with Cosine Similarity

    4285

  • Quantifying and Detecting Collective Motion by Manifold Learning

    4292

  • Cross-View People Tracking by Scene-Centered Spatio-Temporal Parsing

    4299

  • Unsupervised Learning of Multi-Level Descriptors for Person Re-Identification

    4306

  • Leveraging Saccades to Learn Smooth Pursuit: A Self-Organizing Motion Tracking Model Using Restricted Boltzmann Machines

    4313

  • Efficient Object Instance Search Using Fuzzy Objects Matching

    4320

  • Face Hallucination with Tiny Unaligned Images by Transformative Discriminative Neural Networks

    4327

  • Leveraging Video Descriptions to Learn Video Question Answering

    4334

  • Learning Heterogeneous Dictionary Pair with Feature Projection Matrix for Pedestrian Video Retrieval via Single Query Image

    4341

  • Video Recovery via Learning Variation and Consistency of Images

    4082

  • Nonnegative Orthogonal Graph Matching

    4089

  • Multi-Path Feedback Recurrent Neural Networks for Scene Parsing

    4096

  • Detection and Recognition of Text Embedded in Online Images via Neural Context Models

    4103

  • Weakly Supervised Semantic Segmentation Using Superpixel Pooling Network

    4111

  • Robust MIL-Based Feature Template Learning for Object Tracking

    4118

  • Learning Patch-Based Dynamic Graph for Visual Tracking

    4126

  • Image Caption with Global-Local Attention

    4133

  • Visual Object Tracking for Unmanned Aerial Vehicles: A Benchmark and New Motion Models

    4140

  • A Multiview-Based Parameter Free Framework for Group Detection

    4147

  • Weakly-Supervised Deep Nonnegative Low-Rank Model for Social Image Tag Refinement and Assignment

    4154

  • TextBoxes: A Fast Text Detector with a Single Deep Neural Network

    4161

  • An Artificial Agent for Robust Image Registration

    4168

  • Attention Correctness in Neural Image Captioning

    4176

  • Boosting Complementary Hash Tables for Fast Nearest Neighbor Search

    4183

  • Localizing by Describing: Attribute-Guided Attention Localization for Fine-Grained Recognition

    4190

  • Video Captioning with Listwise Supervision

    4197

  • Closing the Loop for Edge Detection and Object Proposals

    4204

  • Learning Discriminative Activated Simplices for Action Recognition

    4211

  • Non-Rigid Point Set Registration with Robust Transformation Estimation under Manifold Regularization

    4218

  • Regularized Diffusion Process for Visual Retrieval

    3967

  • Collective Deep Quantization for Efficient Cross-Modal Retrieval

    3974

  • Reference Based LSTM for Image Captioning

    3981

  • A Multi-Task Deep Network for Person Re-Identification

    3988

  • VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning Problem

    3995

  • Deep Correlated Metric Learning for Sketch-based 3D Shape Retrieval

    4002

  • Deep Manifold Learning of Symmetric Positive Definite Matrices with Application to Face Recognition

    4009

  • Sherlock: Scalable Fact Learning in Images

    4016

  • Robust Visual Tracking via Local-Global Correlation Filter

    4025

  • DECK: Discovering Event Composition Knowledge from Web Images for Zero-Shot Event Detection and Recounting in Videos

    4032

  • Differentiating Between Posed and Spontaneous Expressions with Latent Regression Bayesian Network

    4039

  • Active Video Summarization: Customized Summaries via On-line Interaction with the User

    4046

  • Building an End-to-End Spatial-Temporal Convolutional Network for Video Super-Resolution

    4053

  • Zero-Shot Recognition via Direct Classifier Learning with Transferred Samples and Pseudo Labels

    4061

  • Attributes for Improved Attributes: A Multi-Task Network Utilizing Implicit and Explicit Relationships for Facial Attribute Classification

    4068

  • Weakly Supervised Learning of Part Selection Model with Spatial Constraints for Fine-Grained Image Classification

    4075

Special Track on Cognitive Systems

  • Integrating the Cognitive with the Physical: Musical Path Planning for an Improvising Robot

    4371

  • Imagined Visual Representations as Multimodal Embeddings

    4378

  • Goal Operations for Cognitive Systems

    4385

  • Combining Logical Abduction and Statistical Induction: Discovering Written Primitives with Human Knowledge

    4392

  • Reactive Versus Anticipative Decision Making in a Novel Gift-Giving Game

    4399

  • Towards Continuous Scientific Data Analysis and Hypothesis Evolution

    4406

  • Flexible Model Induction through Heuristic Process Discovery

    4415

  • When Does Bounded-Optimal Metareasoning Favor Few Cognitive Systems?

    4422

  • Scanpath Complexity: Modeling Reading Effort Using Gaze Information

    4429

  • Identifying Useful Inference Paths in Large Commonsense Knowledge Bases by Retrograde Analysis

    4437

  • ConceptNet 5.5: An Open Multilingual Graph of General Knowledge

    4444

  • Towards a Brain Inspired Model of Self-Awareness for Sociable Agents

    4452

  • Semantic Proto-Role Labeling

    4459

  • Natural Language Acquisition and Grounding for Embodied Robotic Systems

    4349

  • Analogical Chaining with Natural Language Instruction for Commonsense Reasoning

    4357

  • Inductive Reasoning about Ontologies Using Conceptual Spaces

    4364

Special Track on Computational Sustainability

  • Species Distribution Modeling of Citizen Science Data as a Classification Problem with Class-Conditional Noise

    4516

  • Combining Satellite Imagery and Open Data to Map Road Safety

    4524

  • Fast-Tracking Stationary MOMDPs for Adaptive Management Problems

    4531

  • Extracting Urban Microclimates from Electricity Bills

    4538

  • Robust Optimization for Tree-Structured Stochastic Network Design

    4545

  • Dynamic Optimization of Landscape Connectivity Embedding Spatial-Capture-Recapture Information

    4552

  • Deep Gaussian Process for Crop Yield Prediction Based on Remote Sensing Data

    4559

  • Matrix Factorisation for Scalable Energy Breakdown

    4467

  • Regularization in Hierarchical Time Series Forecasting with Application to Electricity Smart Meter Data

    4474

  • Maximizing the Probability of Arriving on Time: A Practical Q-Learning Method

    4481

  • Counting-Based Reliability Estimation for Power-Transmission Grids

    4488

  • Three New Algorithms to Solve N-POMDPs

    4495

  • Fine-Grained Car Detection for Visual Census Estimation

    4502

  • Spatial Projection of Multiple Climate Variables Using Hierarchical Multitask Learning

    4509

Special Track on Integrated Systems

  • Healthy Cognitive Aging: A Hybrid Random Vector Functional-Link Model for the Analysis of Alzheimer’s Disease

    4567

  • Mixed Discrete-Continuous Planning with Convex Optimization

    4574

  • Integration of Planning with Recognition for Responsive Interaction Using Classical Planners

    4581

  • Configuration Planning with Temporal Constraints

    4589

  • Learning to Predict Intent from Gaze During Robotic Hand-Eye Coordination

    4596

  • Vision-Language Fusion for Object Recognition

    4603

  • State Projection via AI Planning

    4611

  • Building Task-Oriented Dialogue Systems for Online Shopping

    4618

Innovative Applications of Artificial Intelligence Conference: Deployed Application Case Studies

  • Large-Scale Occupational Skills Normalization for Online Recruitment

    4627

  • Phase-Mapper: An AI Platform to Accelerate High Throughput Materials Discovery

    4635

Innovative Applications of Artificial Intelligence Conference: Emerging Application Case Studies

  • On Designing a Social Coach to Promote Regular Aerobic Exercise

    4721

  • Crowdsensing Air Quality with Camera-Enabled Mobile Devices

    4728

  • Optimal Sequential Drilling for Hydrocarbon Field Development Planning

    4734

  • Predictive Off-Policy Policy Evaluation for Nonstationary Decision Problems, with Applications to Digital Marketing

    4740

  • Using Deep and Convolutional Neural Networks for Accurate Emotion Classification on DEAP Dataset.

    4746

  • A Logic Based Approach to Answering Questions about Alternatives in DIY Domains

    4753

  • ParkUs: A Novel Vehicle Parking Detection System

    4650

  • UbuntuWorld 1.0 LTS — A Platform for Automated Problem Solving & Troubleshooting in the Ubuntu OS

    4657

  • Calories Prediction from Food Images

    4664

  • Real-Time Indoor Localization in Smart Homes Using Semi-Supervised Learning

    4670

  • Constraint-Based Verification of a Mobile App Game Designed for Nudging People to Attend Cancer Screening

    4678

  • Predicting Fuel Consumption and Flight Delays for Low-Cost Airlines

    4686

  • Cracks Under Pressure? Burst Prediction in Water Networks Using Dynamic Metrics

    4694

  • Determining Relative Airport Threats from News and Social Media

    4701

  • Risk-Aware Planning: Methods and Case Study for Safer Driving Routes

    4708

  • Designing Better Playlists with Monte Carlo Tree Search

    4715

  • A Machine Learning Approach for Semantic Structuring of Scientific Charts in Scholarly Documents

    4644

Innovative Applications of Artificial Intelligence Conference: Challenge Problem Papers

  • Automated Data Cleansing through Meta-Learning

    4760

  • Explainable Agency for Intelligent Autonomous Systems

    4762

Educational Advances in Artificial Intelligence Symposium Full Papers

  • Creating Serious Robots That Improve Society

    4781

  • Recovering Concept Prerequisite Relations from University Course Dependencies

    4786

  • Open-Ended Robotics Exploration Projects for Budding Researchers

    4792

  • Dude, Where’s My Robot?: A Localization Challenge for Undergraduate Robotics

    4798

  • A Monte Carlo Localization Assignment Using a Neato Vacuum with ROS

    4803

  • An Image Wherever You Look! Making Vision Just Another Sensor for AI/Robotics Projects

    4806

  • ARTY: Fueling Creativity through Art, Robotics and Technology for Youth

    4765

  • Cornhole: A Widely-Accessible AI Robotics Task

    4771

  • A Summer Research Experience in Robotics

    4775

Educational Advances in Artificial Intelligence Symposium Poster Papers

  • Application for AI-OCR Module: Auto Detection of Emails/Letter Images

    4813

  • Exploring Artificial Intelligence Through Image Recognition

    4815

  • Online SPARC for Drawing and Animation

    4817

  • AI Projects for Computer Science Capstone Classes (Extended Abstract)

    4819

Educational Advances in Artificial Intelligence Symposium Model AI Assignments

  • Model AI Assignments 2017

    4822

Senior Member Blue Sky

  • The AI Rebellion: Changing the Narrative

    4826

  • Moral Decision Making Frameworks for Artificial Intelligence

    4831

  • Why Teaching Ethics to AI Practitioners Is Important

    4836

  • Strategic Social Network Analysis

    4841

  • Getting More Out of the Exposed Structure in Constraint Programming Models of Combinatorial Problems

    4846

Senior Member Summary Talks

  • Machine Learning for Entity Coreference Resolution: A Retrospective Look at Two Decades of Research

    4877

  • Incidental Supervision: Moving beyond Supervised Learning

    4885

  • Latent Tree Analysis

    4891

  • A Selected Summary of AI for Computational Sustainability

    4852

  • Explaining Ourselves: Human-Aware Constraint Reasoning

    4858

  • Multi-Robot Allocation of Tasks with Temporal and Ordering Constraints

    4863

  • Progress and Challenges in Research on Cognitive Architectures

    4870

Student Abstracts

  • Attention Based LSTM for Target Dependent Sentiment Classification

    5013

  • Authorship Attribution with Topic Drift Model

    5015

  • Participatory Art Museum: Collecting and Modeling Crowd Opinions

    5017

  • High-Resolution Mobile Fingerprint Matching via Deep Joint KNN-Triplet Embedding

    5019

  • A Computational Assessment Model for the Adaptive Level of Rehabilitation Exergames for the Elderly

    5021

  • Natural Language Person Retrieval

    5023

  • User Modeling Using LSTM Networks

    5025

  • Automatically Extracting Axioms in Classical Planning

    4973

  • SEAPoT-RL: Selective Exploration Algorithm for Policy Transfer in RL

    4975

  • Coalition Structure Generation Utilizing Graphical Representation of Partition Function Games

    4977

  • Audio Feature Learning with Triplet-Based Embedding Network

    4979

  • A Finite Memory Automaton for Two-Armed Bernoulli Bandit Problems

    4981

  • Semantic Representation Using Explicit Concept Space Models

    4983

  • A Sampling Based Approach for Proactive Project Scheduling with Time-Dependent Duration Uncertainty

    4985

  • PAG2ADMG: A Novel Methodology to Enumerate Causal Graph Structures

    4987

  • Preference Elicitation in DCOPs for Scheduling Devices in Smart Buildings

    4989

  • Multimodal Fusion of EEG and Musical Features in Music-Emotion Recognition

    4991

  • Predicting User Roles from Computer Logs Using Recurrent Neural Networks

    4993

  • Extracting Highly Effective Features for Supervised Learning via Simultaneous Tensor Factorization

    4995

  • Hybridizing Interval Temporal Logics: The First Step

    4997

  • Boosting for Real-Time Multivariate Time Series Classification

    4999

  • Semantic Connection Based Topic Evolution

    5001

  • Keyphrase Extraction with Sequential Pattern Mining

    5003

  • Cycle-Based Singleton Local Consistencies

    5005

  • Evolutionary Machine Learning for RTS Game StarCraft

    5007

  • Enhancing the Privacy of Predictors

    5009

  • Detecting Review Spammer Groups

    5011

  • Bootstrapping with Models: Confidence Intervals for Off-Policy Evaluation

    4933

  • Fast Electrical Demand Optimization Under Real-Time Pricing

    4935

  • SReN: Shape Regression Network for Comic Storyboard Extraction

    4937

  • Cross-Domain Sentiment Classification via Topic-Related TrAdaBoost

    4939

  • A Deep Learning Approach for Arabic Caption Generation Using Roots-Words

    4941

  • Learning to Avoid Dominated Action Sequences in Planning for Black-Box Domains

    4943

  • Kernelized Evolutionary Distance Metric Learning for Semi-Supervised Clustering

    4945

  • Redesigning Stochastic Environments for Maximized Utility

    4947

  • Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes

    4949

  • Wikitop: Using Wikipedia Category Network to Generate Topic Trees

    4951

  • Predicting Mortality of Intensive Care Patients via Learning about Hazard

    4953

  • Rethinking the Link Prediction Problem in Signed Social Networks

    4955

  • ATSUM: Extracting Attractive Summaries for News Propagation on Microblogs

    4957

  • A Systematic Practice of Judging the Success of a Robotic Grasp Using Convolutional Neural Network

    4959

  • Neuron Learning Machine for Representation Learning

    4961

  • Community-Based Question Answering via Contextual Ranking Metric Network Learning

    4963

  • Auto-Annotation of 3D Objects via ImageNet

    4965

  • Semantic Interpretation of Social Network Communities

    4967

  • Extreme Gradient Boosting and Behavioral Biometrics

    4969

  • Plan Recognition Design

    4971

  • Improving Performance of Analogue Readout Layers for Photonic Reservoir Computers with Online Learning

    4899

  • Chaotic Time Series Prediction Using a Photonic Reservoir Computer with Output Feedback

    4901

  • Improving Greedy Best-First Search by Removing Unintended Search Bias (Extended Abstract)

    4903

  • Frame-Based Ontology Alignment

    4905

  • Learning Options in Multiobjective Reinforcement Learning

    4907

  • Towards User Personality Profiling from Multiple Social Networks

    4909

  • Semantic Inference of Bird Songs Using Dynamic Bayesian Networks

    4911

  • An Advising Framework for Multiagent Reinforcement Learning Systems

    4913

  • Android Malware Detection with Weak Ground Truth Data

    4915

  • Discovering Conversational Dependencies between Messages in Dialogs

    4917

  • Coordinating Human and Agent Behavior in Collective-Risk Scenarios

    4919

  • The Complexity of Succinct Elections

    4921

  • A Position-Biased PageRank Algorithm for Keyphrase Extraction

    4923

  • Robust Stable Marriage

    4925

  • Handwriting Profiling Using Generative Adversarial Networks

    4927

  • Policy Reuse in Deep Reinforcement Learning

    4929

  • Grounded Action Transformation for Robot Learning in Simulation

    4931

Doctoral Consortium

  • Human-Like Spatial Reasoning Formalisms

    5054

  • Joint Learning of Structural and Textual Features for Web Scale Event Extraction

    5056

  • Scalable Nonparametric Tensor Analysis

    5058

  • Structured Prediction in Time Series Data

    5042

  • A Supervised Sparse Learning Framework to Solve EEG Inverse Problem for Discriminative Activations Pattern

    5044

  • V for Verification: Intelligent Algorithm of Checking Reliability of Smart Systems

    5046

  • Modelling Familiarity for Intelligent Personalized Social Mobilization

    5048

  • Transfer of Knowledge through Collective Learning

    5050

  • Project Scheduling in Complex Business Environments

    5052

  • Explainable Image Understanding Using Vision and Reasoning

    5028

  • Problem Formulation for Accommodation Support in Plan-Based Interactive Narratives

    5030

  • An Evolutionary Algorithm Based Framework for Task Allocation in Multi-Robot Teams

    5032

  • Accelerating Multiagent Reinforcement Learning through Transfer Learning

    5034

  • Improving Deep Reinforcement Learning with Knowledge Transfer

    5036

  • Problems in Large-Scale Image Classification

    5038

  • Representations for Continuous Learning

    5040

What's Hot

  • SAT Competition 2016: Recent Developments

    5061

  • What’s Hot in Evolutionary Computation

    5064

  • What’s Hot in Case-Based Reasoning

    5067

  • Automated Negotiating Agents Competition (ANAC)

    5070

  • What’s Hot in Constraint Programming

    5073

  • What’s Hot at CPAIOR (Extended Abstract)

    5076

  • The State of the AIIDE Conference in 2017

    5079

Demonstrations

  • SenseRun: Real-Time Running Routes Recommendation towards Providing Pleasant Running Experiences

    5101

  • Natural Language Dialogue for Building and Learning Models and Structures

    5103

  • From Semantic Models to Cognitive Buildings

    5105

  • Deep Music: Towards Musical Dialogue

    5081

  • AniDraw: When Music and Dance Meet Harmoniously

    5083

  • Arnold: An Autonomous Agent to Play FPS Games

    5085

  • A Virtual Personal Fashion Consultant: Learning from the Personal Preference of Fashion

    5087

  • Efficient Clinical Concept Extraction in Electronic Medical Records

    5089

  • Integrating Verbal and Nonvebval Input into a Dynamic Response Spoken Dialogue System

    5091

  • Visual Memory QA: Your Personal Photo and Video Search Agent

    5093

  • Sarcasm Suite: A Browser-Based Engine for Sarcasm Detection and Generation

    5095

  • An Event Reconstruction Tool for Conflict Monitoring Using Social Media

    5097

  • Webly-Supervised Learning of Multimodal Video Detectors

    5099

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