Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence
Stockholm, 13-19 July 2018
Edited by Jérôme Lang
Sponsored by
International Joint Conferences on Artifical Intelligence (IJCAI)
Published by
International Joint Conferences on Artificial Intelligence
Sponsored by
International Joint Conferences on Artifical Intelligence (IJCAI)
Published by
International Joint Conferences on Artificial Intelligence
Copyright © 2018 International Joint Conferences on Artificial Intelligence
All rights reserved. No part of this book may be reproduced in any form by any electronic or mechanical means (including photocopying, recording, or information storage and retrieval) without permission in writing from the publisher.
IJCAI Secretary-Treasurer: Prof. Dr. Bernhard Nebel, Computer Science Department, Albert-Ludwigs-Universitaet Freiburg, Georges-Koehler-Allee, Geb. 052 D-79110 Freiburg, Germany
IJCAI Executive Secretary Ms. Vesna Sabljakovic-Fritz, Vienna University of Technology, Institute of Discrete Mathematics and Geometry, E104 Wiedner Hauptstr. 8-10, A-1040 Vienna, Austria
ISBN (Online): 978-0-9992411-2-7
Preface
Donwnload preface here.
Content
Invited Speakers
Main track
Agent-based and Multi-agent Systems
Robust Norm Emergence by Revealing and Reasoning about Context: Socially Intelligent Agents for Enhancing Privacy
Big City vs. the Great Outdoors: Voter Distribution and How It Affects Gerrymandering
Vocabulary Alignment for Collaborative Agents: a Study with Real-World Multilingual How-to Instructions
Bidding in Periodic Double Auctions Using Heuristics and Dynamic Monte Carlo Tree Search
Fostering Cooperation in Structured Populations Through Local and Global Interference Strategies
Computational Aspects of the Preference Cores of Supermodular Two-Scenario Cooperative Games
Dynamically Forming a Group of Human Forecasters and Machine Forecaster for Forecasting Economic Indicators
Computer Vision
Sharing Residual Units Through Collective Tensor Factorization To Improve Deep Neural Networks
Multi-scale and Discriminative Part Detectors Based Features for Multi-label Image Classification
Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss
Watching a Small Portion could be as Good as Watching All: Towards Efficient Video Classification
Deep CNN Denoiser and Multi-layer Neighbor Component Embedding for Face Hallucination
Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation
Deeply-Supervised CNN Model for Action Recognition with Trainable Feature Aggregation
Live Face Verification with Multiple Instantialized Local Homographic Parameterization
MEGAN: Mixture of Experts of Generative Adversarial Networks for Multimodal Image Generation
Dilated Convolutional Network with Iterative Optimization for Continuous Sign Language Recognition
Long-Term Human Motion Prediction by Modeling Motion Context and Enhancing Motion Dynamics
Representation Learning for Scene Graph Completion via Jointly Structural and Visual Embedding
Uncertainty Sampling for Action Recognition via Maximizing Expected Average Precision
Do not Lose the Details: Reinforced Representation Learning for High Performance Visual Tracking
HCR-Net: A Hybrid of Classification and Regression Network for Object Pose Estimation
Annotation-Free and One-Shot Learning for Instance Segmentation of Homogeneous Object Clusters
Multi-task Layout Analysis for Historical Handwritten Documents Using Fully Convolutional Networks
IncepText: A New Inception-Text Module with Deformable PSROI Pooling for Multi-Oriented Scene Text Detection
Exploiting Images for Video Recognition with Hierarchical Generative Adversarial Networks
SafeNet: Scale-normalization and Anchor-based Feature Extraction Network for Person Re-identification
Better and Faster: Knowledge Transfer from Multiple Self-supervised Learning Tasks via Graph Distillation for Video Classification
Robust Face Sketch Synthesis via Generative Adversarial Fusion of Priors and Parametric Sigmoid
A Comparative Study of Transactional and Semantic Approaches for Predicting Cascades on Twitter
Centralized Ranking Loss with Weakly Supervised Localization for Fine-Grained Object Retrieval
Constraints and SAT
Machine Learning and Constraint Programming for Relational-To-Ontology Schema Mapping
Simpler and Faster Algorithm for Checking the Dynamic Consistency of Conditional Simple Temporal Networks
Solving Exist-Random Quantified Stochastic Boolean Satisfiability via Clause Selection
Accelerated Difference of Convex functions Algorithm and its Application to Sparse Binary Logistic Regression
Compact-MDD: Efficiently Filtering (s)MDD Constraints with Reversible Sparse Bit-sets
Heuristic Search and Game Playing
A General Approach to Running Time Analysis of Multi-objective Evolutionary Algorithms
A Fast Local Search Algorithm for Minimum Weight Dominating Set Problem on Massive Graphs
Humans and AI
Deep Learning Based Multi-modal Addressee Recognition in Visual Scenes with Utterances
A Novel Neural Network Model based on Cerebral Hemispheric Asymmetry for EEG Emotion Recognition
A Simple Convolutional Neural Network for Accurate P300 Detection and Character Spelling in Brain Computer Interface
Learning Sequential Correlation for User Generated Textual Content Popularity Prediction
Neural Framework for Joint Evolution Modeling of User Feedback and Social Links in Dynamic Social Networks
Knowledge Representation and Reasoning
Inconsistency-Tolerant Ontology-Based Data Access Revisited: Taking Mappings into Account
Reverse Engineering Queries in Ontology-Enriched Systems: The Case of Expressive Horn Description Logic Ontologies
Novel Algorithms for Abstract Dialectical Frameworks based on Complexity Analysis of Subclasses and SAT Solving
Consequence-based Reasoning for Description Logics with Disjunction, Inverse Roles, Number Restrictions, and Nominals
Machine Learning
Small-Variance Asymptotics for Nonparametric Bayesian Overlapping Stochastic Blockmodels
Convolutional Neural Networks based Click-Through Rate Prediction with Multiple Feature Sequences
Solving Separable Nonsmooth Problems Using Frank-Wolfe with Uniform Affine Approximations
Adaptive Collaborative Similarity Learning for Unsupervised Multi-view Feature Selection
Dynamic Network Embedding : An Extended Approach for Skip-gram based Network Embedding
Combinatorial Pure Exploration with Continuous and Separable Reward Functions and Its Applications
Self-weighted Multiple Kernel Learning for Graph-based Clustering and Semi-supervised Classification
HST-LSTM: A Hierarchical Spatial-Temporal Long-Short Term Memory Network for Location Prediction
Variance Reduction in Black-box Variational Inference by Adaptive Importance Sampling
UCBoost: A Boosting Approach to Tame Complexity and Optimality for Stochastic Bandits
High-Order Co-Clustering via Strictly Orthogonal and Symmetric L1-Norm Nonnegative Matrix Tri-Factorization
Toward Designing Convergent Deep Operator Splitting Methods for Task-specific Nonconvex Optimization
Exploiting Graph Regularized Multi-dimensional Hawkes Processes for Modeling Events with Spatio-temporal Characteristics
Self-Representative Manifold Concept Factorization with Adaptive Neighbors for Clustering
Positive and Unlabeled Learning for Detecting Software Functional Clones with Adversarial Training
Unsupervised Deep Hashing via Binary Latent Factor Models for Large-scale Cross-modal Retrieval
Cutting the Software Building Efforts in Continuous Integration by Semi-Supervised Online AUC Optimization
Online Continuous-Time Tensor Factorization Based on Pairwise Interactive Point Processes
Improving Maximum Likelihood Estimation of Temporal Point Process via Discriminative and Adversarial Learning
Spatio-Temporal Check-in Time Prediction with Recurrent Neural Network based Survival Analysis
A Unified Approach for Multi-step Temporal-Difference Learning with Eligibility Traces in Reinforcement Learning
Hashing over Predicted Future Frames for Informed Exploration of Deep Reinforcement Learning
Request-and-Reverify: Hierarchical Hypothesis Testing for Concept Drift Detection with Expensive Labels
Dynamically Hierarchy Revolution: DirNet for Compressing Recurrent Neural Network on Mobile Devices
Label-Sensitive Task Grouping by Bayesian Nonparametric Approach for Multi-Task Multi-Label Learning
On the Convergence Properties of a K-step Averaging Stochastic Gradient Descent Algorithm for Nonconvex Optimization
Beyond Similar and Dissimilar Relations : A Kernel Regression Formulation for Metric Learning
Machine Learning Applications
A Fast and Accurate Method for Estimating People Flow from Spatiotemporal Population Data
Content-Aware Hierarchical Point-of-Interest Embedding Model for Successive POI Recommendation
Automatic Opioid User Detection from Twitter: Transductive Ensemble Built on Different Meta-graph Based Similarities over Heterogeneous Information Network
Discrete Interventions in Hawkes Processes with Applications in Invasive Species Management
Interpretable Recommendation via Attraction Modeling: Learning Multilevel Attractiveness over Multimodal Movie Contents
Modeling Contemporaneous Basket Sequences with Twin Networks for Next-Item Recommendation
Predicting Activity and Location with Multi-task Context Aware Recurrent Neural Network
Hashtag2Vec: Learning Hashtag Representation with Relational Hierarchical Embedding Model
Dynamic Bayesian Logistic Matrix Factorization for Recommendation with Implicit Feedback
Your Tweets Reveal What You Like: Introducing Cross-media Content Information into Multi-domain Recommendation
Hierarchical Electricity Time Series Forecasting for Integrating Consumption Patterns Analysis and Aggregation Consistency
Pairwise-Ranking based Collaborative Recurrent Neural Networks for Clinical Event Prediction
Hybrid Approach of Relation Network and Localized Graph Convolutional Filtering for Breast Cancer Subtype Classification
Real-time Traffic Pattern Analysis and Inference with Sparse Video Surveillance Information
Predicting the Spatio-Temporal Evolution of Chronic Diseases in Population with Human Mobility Data
3-in-1 Correlated Embedding via Adaptive Exploration of the Structure and Semantic Subspaces
Joint Learning of Phenotypes and Diagnosis-Medication Correspondence via Hidden Interaction Tensor Factorization
Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting
Task-Guided and Semantic-Aware Ranking for Academic Author-Paper Correlation Inference
Finding Communities with Hierarchical Semantics by Distinguishing General and Specialized topics
DeepTravel: a Neural Network Based Travel Time Estimation Model with Auxiliary Supervision
CoupledCF: Learning Explicit and Implicit User-item Couplings in Recommendation for Deep Collaborative Filtering
PLASTIC: Prioritize Long and Short-term Information in Top-n Recommendation using Adversarial Training
Open-Ended Long-form Video Question Answering via Adaptive Hierarchical Reinforced Networks
Multi-Turn Video Question Answering via Multi-Stream Hierarchical Attention Context Network
Fast Vehicle Identification in Surveillance via Ranked Semantic Sampling Based Embedding
Multidisciplinary Topics and Applications
A Social Interaction Activity based Time-Varying User Vectorization Method for Online Social Networks
Towards Better Representation Learning for Personalized News Recommendation: a Multi-Channel Deep Fusion Approach
Neural User Response Generator: Fake News Detection with Collective User Intelligence
MASTER: across Multiple social networks, integrate Attribute and STructure Embedding for Reconciliation
GELU-Net: A Globally Encrypted, Locally Unencrypted Deep Neural Network for Privacy-Preserved Learning
Impression Allocation for Combating Fraud in E-commerce Via Deep Reinforcement Learning with Action Norm Penalty
Natural Language Processing
Co-training Embeddings of Knowledge Graphs and Entity Descriptions for Cross-lingual Entity Alignment
Submodularity-Inspired Data Selection for Goal-Oriented Chatbot Training Based on Sentence Embeddings
Domain Adaptation via Tree Kernel Based Maximum Mean Discrepancy for User Consumption Intention Identification
Improving Low Resource Named Entity Recognition using Cross-lingual Knowledge Transfer
Mitigating the Effect of Out-of-Vocabulary Entity Pairs in Matrix Factorization for KB Inference
Learning to Give Feedback: Modeling Attributes Affecting Argument Persuasiveness in Student Essays
Beyond Polarity: Interpretable Financial Sentiment Analysis with Hierarchical Query-driven Attention
A Hierarchical End-to-End Model for Jointly Improving Text Summarization and Sentiment Classification
ElimiNet: A Model for Eliminating Options for Reading Comprehension with Multiple Choice Questions
Assigning Personality/Profile to a Chatting Machine for Coherent Conversation Generation
Translating Embeddings for Knowledge Graph Completion with Relation Attention Mechanism
Event Factuality Identification via Generative Adversarial Networks with Auxiliary Classification
Functional Partitioning of Ontologies for Natural Language Query Completion in Question Answering Systems
Reinforced Self-Attention Network: a Hybrid of Hard and Soft Attention for Sequence Modeling
Listen, Think and Listen Again: Capturing Top-down Auditory Attention for Speaker-independent Speech Separation
Joint Learning Embeddings for Chinese Words and their Components via Ladder Structured Networks
An Ensemble of Retrieval-Based and Generation-Based Human-Computer Conversation Systems
A Weakly Supervised Method for Topic Segmentation and Labeling in Goal-oriented Dialogues via Reinforcement Learning
Get The Point of My Utterance! Learning Towards Effective Responses with Multi-Head Attention Mechanism
One "Ruler" for All Languages: Multi-Lingual Dialogue Evaluation with Adversarial Multi-Task Learning
Aspect Sentiment Classification with both Word-level and Clause-level Attention Networks
A Reinforced Topic-Aware Convolutional Sequence-to-Sequence Model for Abstractive Text Summarization
Instance Weighting with Applications to Cross-domain Text Classification via Trading off Sample Selection Bias and Variance
Scheduled Policy Optimization for Natural Language Communication with Intelligent Agents
Enhancing Semantic Representations of Bilingual Word Embeddings with Syntactic Dependencies
Smarter Response with Proactive Suggestion: A New Generative Neural Conversation Paradigm
Generating Thematic Chinese Poetry using Conditional Variational Autoencoders with Hybrid Decoders
Weakly Supervised Audio Source Separation via Spectrum Energy Preserved Wasserstein Learning
Neural Networks Incorporating Unlabeled and Partially-labeled Data for Cross-domain Chinese Word Segmentation
Same Representation, Different Attentions: Shareable Sentence Representation Learning from Multiple Tasks
Planning and Scheduling
Expectation Optimization with Probabilistic Guarantees in POMDPs with Discounted-Sum Objectives
Unchaining the Power of Partial Delete Relaxation, Part II: Finding Plans with Red-Black State Space Search
Organizing Experience: a Deeper Look at Replay Mechanisms for Sample-Based Planning in Continuous State Domains
Planning in Factored State and Action Spaces with Learned Binarized Neural Network Transition Models
PEORL: Integrating Symbolic Planning and Hierarchical Reinforcement Learning for Robust Decision-Making
Robotics
GraspNet: An Efficient Convolutional Neural Network for Real-time Grasp Detection for Low-powered Devices
Uncertainty in AI
Metadata-dependent Infinite Poisson Factorization for Efficiently Modelling Sparse and Large Matrices in Recommendation
A Graphical Criterion for Effect Identification in Equivalence Classes of Causal Diagrams
Unsupervised Learning based Jump-Diffusion Process for Object Tracking in Video Surveillance
Reliable Multi-class Classification based on Pairwise Epistemic and Aleatoric Uncertainty
Evolution of the contours of AI
Sister Conferences Best Papers
Finite Controllability of Conjunctive Query Answering with Existential Rules: Two Steps Forward
A Model of Distributed Query Computation in Client-Server Scenarios on the Semantic Web
Counterexample-Driven Genetic Programming: Stochastic Synthesis of Provably Correct Programs
The Intricacies of Three-Valued Extensional Semantics for Higher-Order Logic Programs
Evaluating and Complementing Vision-to-Language Technology for People who are Blind with Conversational Crowdsourcing
A Genetic Programming Approach to Designing Convolutional Neural Network Architectures
Generating High Resolution Climate Change Projections through Single Image Super-Resolution: An Abridged Version
Bridging the Gap Between Theory and Practice in Influence Maximization: Raising Awareness about HIV among Homeless Youth
Modeling the Assimilation-Contrast Effects in Online Product Rating Systems: Debiasing and Recommendations
Survey track
Robust Multi-view Representation: A Unified Perspective from Multi-view Learning to Domain Adaption
Journal track
Incentive-Compatible Mechanisms for Norm Monitoring in Open Multi-Agent Systems (Extended Abstract)
Solving Multi-Agent Path Finding on Strongly Biconnected Digraphs (Extended Abstract)
Enhancing Context Knowledge Repositories with Justifiable Exceptions (Extended Abstract)
Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents (Extended Abstract)
On the Equivalence between Assumption-Based Argumentation and Logic Programming (Extended Abstract)
Preference-Based Inconsistency Management in Multi-Context Systems (Extended Abstract)
Constrained Coalition Formation on Valuation Structures: Formal Framework, Applications, and Islands of Tractability (Extended Abstract)
Visualisation and 'Diagnostic Classifiers' Reveal how Recurrent and Recursive Neural Networks Process Hierarchical Structure (Extended Abstract)
Rademacher Complexity Bounds for a Penalized Multi-class Semi-supervised Algorithm (Extended Abstract)
Distributional Correspondence Indexing for Cross-Lingual and Cross-Domain Sentiment Classification (Extended Abstract)
Early Career
Decision-Making Under Uncertainty in Multi-Agent and Multi-Robot Systems: Planning and Learning
Towards Improving the Expressivity and Scalability of Distributed Constraint Optimization Problems
Doctoral Consortium
Identifying Differences in Social Responsiveness among Preschoolers Interacting with or Watching Social Robots
Conversational Explanations of Machine Learning Predictions Through Class-contrastive Counterfactual Statements
Machine Learning Approaches to Reduce Electrical Waste and Improve Power Grid Stability
Demos
Using Contextual Bandits with Behavioral Constraints for Constrained Online Movie Recommendation
CISA: Chinese Information Structure Analysis for Scientific Writing with Cross-lingual Adversarial Learning
Multi-Sensor Mobile Platform for the Recognition of Activities of Daily Living and their Environments based on Artificial Neural Networks
Data-Driven Inventory Management and Dynamic Pricing Competition on Online Marketplaces
A Virtual Environment with Multi-Robot Navigation, Analytics, and Decision Support for Critical Incident Investigation
Glass-Box: Explaining AI Decisions With Counterfactual Statements Through Conversation With a Voice-enabled Virtual Assistant
Using a Deep Learning Dialogue Research Toolkit in a Multilingual Multidomain Practical Application