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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 32 /

Thirty-Second AAAI Conference on Artificial Intelligence 2018

AAAI Technical Track: AI and the Web

  • Towards Efficient Detection of Overlapping Communities in Massive Networks

    Bing-Jie Sun, Huawei Shen, Jinhua Gao, Wentao Ouyang, Xueqi Cheng

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  • Deep Asymmetric Transfer Network for Unbalanced Domain Adaptation

    Daixin Wang, Peng Cui, Wenwu Zhu

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  • Structural Deep Embedding for Hyper-Networks

    Ke Tu, Peng Cui, Xiao Wang, Fei Wang, Wenwu Zhu

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  • Early Detection of Fake News on Social Media Through Propagation Path Classification with Recurrent and Convolutional Networks

    Yang Liu, Yi-Fang Wu

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  • Urban Dreams of Migrants: A Case Study of Migrant Integration in Shanghai

    Yang Yang, Chenhao Tan, Zongtao Liu, Fei Wu, Yueting Zhuang

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  • Contrastive Training for Models of Information Cascades

    Shaobin Xu, David Smith

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  • Community Detection in Attributed Graphs: An Embedding Approach

    Ye Li, Chaofeng Sha, Xin Huang, Yanchun Zhang

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  • Retrieving and Classifying Affective Images via Deep Metric Learning

    Jufeng Yang, Dongyu She, Yu-Kun Lai, Ming-Hsuan Yang

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  • Binary Generative Adversarial Networks for Image Retrieval

    Jingkuan Song, Tao He, Lianli Gao, Xing Xu, Alan Hanjalic, Heng Tao Shen

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  • Deep Region Hashing for Generic Instance Search from Images

    Jingkuan Song, Tao He, Lianli Gao, Xing Xu, Heng Tao Shen

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  • Partial Multi-View Outlier Detection Based on Collective Learning

    Jun Guo, Wenwu Zhu

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  • VSE-ens: Visual-Semantic Embeddings with Efficient Negative Sampling

    Guibing Guo, Songlin Zhai, Fajie Yuan, Yuan Liu, Xingwei Wang

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  • Inferring Emotion from Conversational Voice Data: A Semi-Supervised Multi-Path Generative Neural Network Approach

    Suping Zhou, Jia Jia, Qi Wang, Yufei Dong, Yufeng Yin, Kehua Lei

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  • A Network-Specific Markov Random Field Approach to Community Detection

    Dongxiao He, Xinxin You, Zhiyong Feng, Di Jin, Xue Yang, Weixiong Zhang

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  • Mitigating Overexposure in Viral Marketing

    Rediet Abebe, Lada Adamic, Jon Kleinberg

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  • Listening to the World Improves Speech Command Recognition

    Brian McMahan, Delip Rao

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  • Robust Detection of Link Communities in Large Social Networks by Exploiting Link Semantics

    Di Jin, Xiaobao Wang, Ruifang He, Dongxiao He, Jianwu Dang, Weixiong Zhang

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  • Joint Training for Neural Machine Translation Models with Monolingual Data

    Zhirui Zhang, Shujie Liu, Mu Li, Ming Zhou, Enhong Chen

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  • Dual Deep Neural Networks Cross-Modal Hashing

    Zhen-Duo Chen, Wan-Jin Yu, Chuan-Xiang Li, Liqiang Nie, Xin-Shun Xu

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  • Improved English to Russian Translation by Neural Suffix Prediction

    Kai Song, Yue Zhang, Min Zhang, Weihua Luo

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  • Confidence-Aware Matrix Factorization for Recommender Systems

    Chao Wang, Qi Liu, Runze Wu, Enhong Chen, Chuanren Liu, Xunpeng Huang, Zhenya Huang

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  • Cross-Lingual Entity Linking for Web Tables

    Xusheng Luo, Kangqi Luo, Xianyang Chen, Kenny Zhu

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  • Exploring Implicit Feedback for Open Domain Conversation Generation

    Wei-Nan Zhang, Lingzhi Li, Dongyan Cao, Ting Liu

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  • Attention-via-Attention Neural Machine Translation

    Shenjian Zhao, Zhihua Zhang

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  • Discovering and Distinguishing Multiple Visual Senses for Polysemous Words

    Yazhou Yao, Jian Zhang, Fumin Shen, Wankou Yang, Pu Huang, Zhenmin Tang

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  • Representation Learning for Scale-Free Networks

    Rui Feng, Yang Yang, Wenjie Hu, Fei Wu, Yueting Zhang

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  • Dynamic Network Embedding by Modeling Triadic Closure Process

    Lekui Zhou, Yang Yang, Xiang Ren, Fei Wu, Yueting Zhuang

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  • From Common to Special: When Multi-Attribute Learning Meets Personalized Opinions

    Zhiyong Yang, Qianqian Xu, Xiaochun Cao, Qingming Huang

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  • Personalized Time-Aware Tag Recommendation

    Keqiang Wang, Yuanyuan Jin, Haofen Wang, Hongwei Peng, Xiaoling Wang

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  • Neural Link Prediction over Aligned Networks

    Xuezhi Cao, Haokun Chen, Xuejian Wang, Weinan Zhang, Yong Yu

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  • FILE: A Novel Framework for Predicting Social Status in Signed Networks

    Xiaoming Li, Hui Fang, Jie Zhang

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  • Location-Sensitive User Profiling Using Crowdsourced Labels

    Wei Niu, James Caverlee, Haokai Lu

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  • Unsupervised Generative Adversarial Cross-Modal Hashing

    Jian Zhang, Yuxin Peng, Mingkuan Yuan

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  • A Multi-Task Learning Approach for Improving Product Title Compression with User Search Log Data

    Jingang Wang, Junfeng Tian, Long Qiu, Sheng Li, Jun Lang, Luo Si, Man Lan

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  • CA-RNN: Using Context-Aligned Recurrent Neural Networks for Modeling Sentence Similarity

    Qin Chen, Qinmin Hu, Jimmy Xiangji Huang, Liang He

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  • Spatiotemporal Activity Modeling Under Data Scarcity: A Graph-Regularized Cross-Modal Embedding Approach

    Chao Zhang, Mengxiong Liu, Zhengchao Liu, Carl Yang, Luming Zhang, Jiawei Han

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  • DepthLGP: Learning Embeddings of Out-of-Sample Nodes in Dynamic Networks

    Jianxin Ma, Peng Cui, Wenwu Zhu

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  • On Validation and Predictability of Digital Badges’ Influence on Individual Users

    Tomasz Kuśmierczyk, Kjetil Nørvåg

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  • Telepath: Understanding Users from a Human Vision Perspective in Large-Scale Recommender Systems

    Yu Wang, Jixing Xu, Aohan Wu, Mantian Li, Yang He, Jinghe Hu, Weipeng Yan

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  • Privacy Preserving Point-of-Interest Recommendation Using Decentralized Matrix Factorization

    Chaochao Chen, Ziqi Liu, Peilin Zhao, Jun Zhou, Xiaolong Li

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  • RSDNE: Exploring Relaxed Similarity and Dissimilarity from Completely-Imbalanced Labels for Network Embedding

    Zheng Wang, Xiaojun Ye, Chaokun Wang, Yuexin Wu, Changping Wang, Kaiwen Liang

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  • Social Recommendation with an Essential Preference Space

    Chun-Yi Liu, Chuan Zhou, Jia Wu, Yue Hu, Li Guo

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  • Multi-Facet Network Embedding: Beyond the General Solution of Detection and Representation

    Liang Yang, Yuanfang Guo, Xiaochun Cao

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AAAI Technical Track: Applications

  • Picasso, Matisse, or a Fake? Automated Analysis of Drawings at the Stroke Level for Attribution and Authentication

    Ahmed Elgammal, Yan Kang, Milko Den Leeuw

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  • Tensorized Projection for High-Dimensional Binary Embedding

    Weixiang Hong, Jingjing Meng, Junsong Yuan

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  • Distributed Composite Quantization

    Weixiang Hong, Jingjing Meng, Junsong Yuan

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  • Norm Conflict Resolution in Stochastic Domains

    Daniel Kasenberg, Matthias Scheutz

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  • Beyond Distributive Fairness in Algorithmic Decision Making: Feature Selection for Procedurally Fair Learning

    Nina Grgić-Hlača, Muhammad Bilal Zafar, Krishna P. Gummadi, Adrian Weller

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  • Algorithms for Trip-Vehicle Assignment in Ride-Sharing

    Xiaohui Bei, Shengyu Zhang

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  • TIMERS: Error-Bounded SVD Restart on Dynamic Networks

    Ziwei Zhang, Peng Cui, Jian Pei, Xiao Wang, Wenwu Zhu

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  • Video Summarization via Semantic Attended Networks

    Huawei Wei, Bingbing Ni, Yichao Yan, Huanyu Yu, Xiaokang Yang, Chen Yao

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  • Comparing Population Means Under Local Differential Privacy: With Significance and Power

    Bolin Ding, Harsha Nori, Paul Li, Joshua Allen

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  • Deep Representation-Decoupling Neural Networks for Monaural Music Mixture Separation

    Zhuo Li, Hongwei Wang, Miao Zhao, Wenjie Li, Minyi Guo

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  • EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples

    Pin-Yu Chen, Yash Sharma, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh

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  • Synthesis of Programs from Multimodal Datasets

    Shantanu Thakoor, Simoni Shah, Ganesh Ramakrishnan, Amitabha Sanyal

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  • An AI Planning Solution to Scenario Generation for Enterprise Risk Management

    Shirin Sohrabi, Anton Riabov, Michael Katz, Octavian Udrea

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  • When Social Advertising Meets Viral Marketing: Sequencing Social Advertisements for Influence Maximization

    Shaojie Tang

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  • Learning the Probability of Activation in the Presence of Latent Spreaders

    Maggie Makar, John Guttag, Jenna Wiens

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  • Learning the Joint Representation of Heterogeneous Temporal Events for Clinical Endpoint Prediction

    Luchen Liu, Jianhao Shen, Ming Zhang, Zichang Wang, Jian Tang

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  • CD-CNN: A Partially Supervised Cross-Domain Deep Learning Model for Urban Resident Recognition

    Jingyuan Wang, Xu He, Ze Wang, Junjie Wu, Nicholas Jing Yuan, Xing Xie, Zhang Xiong

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  • Generating an Event Timeline About Daily Activities From a Semantic Concept Stream

    Taiki Miyanishi, Jun-ichiro Hirayama, Takuya Maekawa, Motoaki Kawanabe

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  • On Organizing Online Soirees with Live Multi-Streaming

    Chih-Ya Shen, C. P. Kankeu Fotsing, De-Nian Yang, Yi-Shin Chen, Wang-Chien Lee

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  • MuseGAN: Multi-track Sequential Generative Adversarial Networks for Symbolic Music Generation and Accompaniment

    Hao-Wen Dong, Wen-Yi Hsiao, Li-Chia Yang, Yi-Hsuan Yang

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  • Uplink Communication Efficient Differentially Private Sparse Optimization With Feature-Wise Distributed Data

    Jian Lou, Yiu-ming Cheung

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  • Geographic Differential Privacy for Mobile Crowd Coverage Maximization

    Leye Wang, Gehua Qin, Dingqi Yang, Xiao Han, Xiaojuan Ma

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  • Multi-View Multi-Graph Embedding for Brain Network Clustering Analysis

    Ye Liu, Lifang He, Bokai Cao, Philip Yu, Ann Ragin, Alex Leow

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  • Predicting Aesthetic Score Distribution Through Cumulative Jensen-Shannon Divergence

    Xin Jin, Le Wu, Xiaodong Li, Siyu Chen, Siwei Peng, Jingying Chi, Shiming Ge, Chenggen Song, Geng Zhao

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  • Learning Differences Between Visual Scanning Patterns Can Disambiguate Bipolar and Unipolar Patients

    Jonathan Chung, Moshe Eizenman, Uros Rakita, Roger McIntyre, Peter Giacobbe

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  • Ranking Users in Social Networks With Higher-Order Structures

    Huan Zhao, Xiaogang Xu, Yangqiu Song, Dik Lun Lee, Zhao Chen, Han Gao

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  • Catching Captain Jack: Efficient Time and Space Dependent Patrols to Combat Oil-Siphoning in International Waters

    Xinrun Wang, Bo An, Martin Strobel, Fookwai Kong

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  • Early Prediction of Diabetes Complications from Electronic Health Records: A Multi-Task Survival Analysis Approach

    Bin Liu, Ying Li, Zhaonan Sun, Soumya Ghosh, Kenney Ng

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  • Automated Segmentation of Overlapping Cytoplasm in Cervical Smear Images via Contour Fragments

    Youyi Song, Jing Qin, Baiying Lei, Kup-Sze Choi

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AAAI Technical Track: Cognitive Modeling

  • Thinking in PolAR Pictures: Using Rotation-Friendly Mental Images to Solve Leiter-R Form Completion

    Joshua Palmer, Maithilee Kunda

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  • A Unified Model for Document-Based Question Answering Based on Human-Like Reading Strategy

    Weikang Li, Wei Li, Yunfang Wu

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  • A Plasticity-Centric Approach to Train the Non-Differential Spiking Neural Networks

    Tielin Zhang, Yi Zeng, Dongcheng Zhao, Mengting Shi

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  • Perceiving, Learning, and Recognizing 3D Objects: An Approach to Cognitive Service Robots

    S. Kasaei, Juil Sock, Luis Seabra Lopes, Ana Maria Tome, Tae-Kyun Kim

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  • Learning Nonlinear Dynamics in Efficient, Balanced Spiking Networks Using Local Plasticity Rules

    Alireza Alemi, Christian Machens, Sophie Deneve, Jean-Jacques Slotine

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AAAI Technical Track: Cognitive Systems

  • Maximizing Activity in Ising Networks via the TAP Approximation

    Christopher Lynn, Daniel Lee

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  • RUBER: An Unsupervised Method for Automatic Evaluation of Open-Domain Dialog Systems

    Chongyang Tao, Lili Mou, Dongyan Zhao, Rui Yan

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  • Expected Utility with Relative Loss Reduction: A Unifying Decision Model for Resolving Four Well-Known Paradoxes

    Wenjun Ma, Yuncheng Jiang, Weiru Liu, Xudong Luo, Kevin McAreavey

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  • The Structural Affinity Method for Solving the Raven’s Progressive Matrices Test for Intelligence

    Snejana Shegheva, Ashok Goel

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  • Explicit Reasoning over End-to-End Neural Architectures for Visual Question Answering

    Somak Aditya, Yezhou Yang, Chitta Baral

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  • Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory

    Hao Zhou, Minlie Huang, Tianyang Zhang, Xiaoyan Zhu, Bing Liu

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  • HAN: Hierarchical Association Network for Computing Semantic Relatedness

    Xiaolong Gong, Hao Xu, Linpeng Huang

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  • Glass-Box Program Synthesis: A Machine Learning Approach

    Konstantina Christakopoulou, Adam Kalai

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  • Action Recognition From Skeleton Data via Analogical Generalization Over Qualitative Representations

    Kezhen Chen, Kenneth Forbus

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  • Learning From Unannotated QA Pairs to Analogically Disambiguate and Answer Questions

    Maxwell Crouse, Clifton McFate, Kenneth Forbus

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  • Style Transfer in Text: Exploration and Evaluation

    Zhenxin Fu, Xiaoye Tan, Nanyun Peng, Dongyan Zhao, Rui Yan

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  • Towards Building Large Scale Multimodal Domain-Aware Conversation Systems

    Amrita Saha, Mitesh Khapra, Karthik Sankaranarayanan

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  • Complex Sequential Question Answering: Towards Learning to Converse Over Linked Question Answer Pairs with a Knowledge Graph

    Amrita Saha, Vardaan Pahuja, Mitesh Khapra, Karthik Sankaranarayanan, Sarath Chandar

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AAAI Technical Track: Game Playing and Interactive Entertainment

  • Minesweeper with Limited Moves

    Serge Gaspers, Stefan Rümmele, Abdallah Saffidine, Kevin Tran

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  • PVL: A Framework for Navigating the Precision-Variety Trade-Off in Automated Animation of Smiles

    Nicholas Sohre, Moses Adeagbo, Nathaniel Helwig, Sofia Lyford-Pike, Stephen Guy

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  • Event Representations for Automated Story Generation with Deep Neural Nets

    Lara Martin, Prithviraj Ammanabrolu, Xinyu Wang, William Hancock, Shruti Singh, Brent Harrison, Mark Riedl

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  • Asymmetric Action Abstractions for Multi-Unit Control in Adversarial Real-Time Games

    Rubens Moraes, Levi Lelis

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AAAI Technical Track: Game Theory and Economic Paradigms

  • Tool Auctions

    Janosch Döcker, Britta Dorn, Ulle Endriss, Ronald de Haan, Sebastian Schneckenburger

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  • Approximating Bribery in Scoring Rules

    Orgad Keller, Avinatan Hassidim, Noam Hazon

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  • Cooperative Games With Bounded Dependency Degree

    Ayumi Igarashi, Rani Izsak, Edith Elkind

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  • The Complexity of Bribery in Network-Based Rating Systems

    Umberto Grandi, James Stewart, Paolo Turrini

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  • Allocation Problems in Ride-Sharing Platforms: Online Matching With Offline Reusable Resources

    John Dickerson, Karthik Sankararaman, Aravind Srinivasan, Pan Xu

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  • On the Complexity of Extended and Proportional Justified Representation

    Haris Aziz, Edith Elkind, Shenwei Huang, Martin Lackner, Luis Sanchez-Fernandez, Piotr Skowron

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  • Committee Selection with Intraclass and Interclass Synergies

    Rani Izsak, Nimrod Talmon, Gerhard Woeginger

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  • Truthful and Near-Optimal Mechanisms for Welfare Maximization in Multi-Winner Elections

    Umang Bhaskar, Varsha Dani, Abheek Ghosh

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  • AIVAT: A New Variance Reduction Technique for Agent Evaluation in Imperfect Information Games

    Neil Burch, Martin Schmid, Matej Moravcik, Dustin Morill, Michael Bowling

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  • Robust Stackelberg Equilibria in Extensive-Form Games and Extension to Limited Lookahead

    Christian Kroer, Gabriele Farina, Tuomas Sandholm

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  • The Conference Paper Assignment Problem: Using Order Weighted Averages to Assign Indivisible Goods

    Jing Wu Lian, Nicholas Mattei, Renee Noble, Toby Walsh

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  • A Regression Approach for Modeling Games With Many Symmetric Players

    Bryce Wiedenbeck, Fengjun Yang, Michael Wellman

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  • Utilitarians Without Utilities: Maximizing Social Welfare for Graph Problems Using Only Ordinal Preferences

    Ben Abramowitz, Elliot Anshelevich

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  • Coalition Manipulation of Gale-Shapley Algorithm

    Weiran Shen, Pingzhong Tang, Yuan Deng

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  • Equilibrium Computation and Robust Optimization in Zero Sum Games With Submodular Structure

    Bryan Wilder

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  • Computing the Strategy to Commit to in Polymatrix Games

    Giuseppe De Nittis, Alberto Marchesi, Nicola Gatti

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  • Multiwinner Elections With Diversity Constraints

    Robert Bredereck, Piotr Faliszewski, Ayumi Igarashi, Martin Lackner, Piotr Skowron

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  • Effective Heuristics for Committee Scoring Rules

    Piotr Faliszewski, Martin Lackner, Dominik Peters, Nimrod Talmon

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  • Facility Location Games With Fractional Preferences

    Chi Kit Ken Fong, Minming Li, Pinyan Lu, Taiki Todo, Makoto Yokoo

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  • Single-Peakedness and Total Unimodularity: New Polynomial-Time Algorithms for Multi-Winner Elections

    Dominik Peters

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  • On Recognising Nearly Single-Crossing Preferences

    Florian Jaeckle, Dominik Peters, Edith Elkind

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  • Computational Results for Extensive-Form Adversarial Team Games

    Andrea Celli, Nicola Gatti

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  • Incentivizing High Quality User Contributions: New Arm Generation in Bandit Learning

    Yang Liu, Chien-Ju Ho

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  • Groupwise Maximin Fair Allocation of Indivisible Goods

    Siddharth Barman, Arpita Biswas, Sanath Krishnamurthy, Yadati Narahari

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  • Fair Rent Division on a Budget

    Ariel Procaccia, Rodrigo Velez, Dingli Yu

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  • Weighted Voting Via No-Regret Learning

    Nika Haghtalab, Ritesh Noothigattu, Ariel Procaccia

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  • Ranking Wily People Who Rank Each Other

    Anson Kahng, Yasmine Kotturi, Chinmay Kulkarni, David Kurokawa, Ariel Procaccia

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  • Liquid Democracy: An Algorithmic Perspective

    Anson Kahng, Simon Mackenzie, Ariel Procaccia

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  • On the Distortion of Voting With Multiple Representative Candidates

    Yu Cheng, Shaddin Dughmi, David Kempe

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  • Approximately Stable Matchings With Budget Constraints

    Yasushi Kawase, Atsushi Iwasaki

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  • Incentive-Compatible Forecasting Competitions

    Jens Witkowski, Rupert Freeman, Jennifer Vaughan, David Pennock, Andreas Krause

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  • Non-Exploitable Protocols for Repeated Cake Cutting

    Omer Tamuz, Shai Vardi, Juba Ziani

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  • Resource Allocation Polytope Games: Uniqueness of Equilibrium, Price of Stability, and Price of Anarchy

    Swapnil Dhamal, Walid Ben-Ameur, Tijani Chahed, Eitan Altman

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  • An Axiomatization of the Eigenvector and Katz Centralities

    Tomasz Wąs, Oskar Skibski

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  • Balancing Lexicographic Fairness and a Utilitarian Objective With Application to Kidney Exchange

    Duncan McElfresh, John Dickerson

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  • Rich Coalitional Resource Games

    Nicolas Troquard

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  • On the Approximation of Nash Equilibria in Sparse Win-Lose Games

    Zhengyang Liu, Ying Sheng

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  • On Social Envy-Freeness in Multi-Unit Markets

    Michele Flammini, Manuel Mauro, Matteo Tonelli

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  • Axioms for Distance-Based Centralities

    Oskar Skibski, Jadwiga Sosnowska

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  • Modelling Iterative Judgment Aggregation

    Zoi Terzopoulou, Ulle Endriss

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  • Average-Case Approximation Ratio of Scheduling Without Payments

    Jie Zhang

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  • Disarmament Games With Resource

    Yuan Deng, Vincent Conitzer

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  • Traffic Optimization for a Mixture of Self-Interested and Compliant Agents

    Guni Sharon, Michael Albert, Tarun Rambha, Stephen Boyles, Peter Stone

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  • A Bayesian Clearing Mechanism for Combinatorial Auctions

    Gianluca Brero, Sébastien Lahaie

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  • Policy Learning for Continuous Space Security Games Using Neural Networks

    Nitin Kamra, Umang Gupta, Fei Fang, Yan Liu, Milind Tambe

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  • Strategic Coordination of Human Patrollers and Mobile Sensors With Signaling for Security Games

    Haifeng Xu, Kai Wang, Phebe Vayanos, Milind Tambe

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  • Rank Maximal Equal Contribution: A Probabilistic Social Choice Function

    Haris Aziz, Pang Luo, Christine Rizkallah

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  • It Takes (Only) Two: Adversarial Generator-Encoder Networks

    Dmitry Ulyanov, Andrea Vedaldi, Victor Lempitsky

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  • MUDA: A Truthful Multi-Unit Double-Auction Mechanism

    Erel Segal-Halevi, Avinatan Hassidim, Yonatan Aumann

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  • Approximation-Variance Tradeoffs in Facility Location Games

    Ariel Procaccia, David Wajc, Hanrui Zhang

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  • Reinforcement Mechanism Design for Fraudulent Behaviour in e-Commerce

    Qingpeng Cai, Aris Filos-Ratsikas, Pingzhong Tang, Yiwei Zhang

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AAAI Technical Track: Heuristic Search and Optimization

  • Avoiding Dead Ends in Real-Time Heuristic Search

    Bence Cserna, William Doyle, Jordan Ramsdell, Wheeler Ruml

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  • Noisy Derivative-Free Optimization With Value Suppression

    Hong Wang, Hong Qian, Yang Yu

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  • Efficiently Monitoring Small Data Modification Effect for Large-Scale Learning in Changing Environment

    Hiroyuki Hanada, Atsushi Shibagaki, Jun Sakuma, Ichiro Takeuchi

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  • On the Time and Space Complexity of Genetic Programming for Evolving Boolean Conjunctions

    Andrei Lissovoi, Pietro Oliveto

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  • Locality Preserving Projection Based on F-norm

    Xiangjie Hu, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin

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  • Exact Clustering via Integer Programming and Maximum Satisfiability

    Atsushi Miyauchi, Tomohiro Sonobe, Noriyoshi Sukegawa

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  • Accelerated Best-First Search With Upper-Bound Computation for Submodular Function Maximization

    Shinsaku Sakaue, Masakazu Ishihata

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  • Submodular Function Maximization Over Graphs via Zero-Suppressed Binary Decision Diagrams

    Shinsaku Sakaue, Masaaki Nishino, Norihito Yasuda

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  • Large Scale Constrained Linear Regression Revisited: Faster Algorithms via Preconditioning

    Di Wang, Jinhui Xu

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  • Proximal Alternating Direction Network: A Globally Converged Deep Unrolling Framework

    Risheng Liu, Xin Fan, Shichao Cheng, Xiangyu Wang, Zhongxuan Luo

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  • On Multiset Selection With Size Constraints

    Chao Qian, Yibo Zhang, Ke Tang, Xin Yao

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  • A Recursive Scenario Decomposition Algorithm for Combinatorial Multistage Stochastic Optimisation Problems

    David Hemmi, Guido Tack, Mark Wallace

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  • Revisiting Immediate Duplicate Detection in External Memory Search

    Shunji Lin, Alex Fukunaga

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  • A Two-Stage MaxSAT Reasoning Approach for the Maximum Weight Clique Problem

    Hua Jiang, Chu-Min Li, Yanli Liu, Felip Manyà

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  • Streaming Non-Monotone Submodular Maximization: Personalized Video Summarization on the Fly

    Baharan Mirzasoleiman, Stefanie Jegelka, Andreas Krause

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  • Counting Linear Extensions in Practice: MCMC Versus Exponential Monte Carlo

    Topi Talvitie, Kustaa Kangas, Teppo Niinimäki, Mikko Koivisto

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  • Disjunctive Program Synthesis: A Robust Approach to Programming by Example

    Mohammad Raza, Sumit Gulwani

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  • Memory-Augmented Monte Carlo Tree Search

    Chenjun Xiao, Jincheng Mei, Martin Müller

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  • Warmstarting of Model-Based Algorithm Configuration

    Marius Lindauer, Frank Hutter

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AAAI Technical Track: Human-AI Collaboration

  • A Coverage-Based Utility Model for Identifying Unknown Unknowns

    Gagan Bansal, Daniel Weld

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  • An Interactive Multi-Label Consensus Labeling Model for Multiple Labeler Judgments

    Ashish Kulkarni, Narasimha Raju Uppalapati, Pankaj Singh, Ganesh Ramakrishnan

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  • Human-in-the-Loop SLAM

    Samer Nashed, Joydeep Biswas

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  • How AI Wins Friends and Influences People in Repeated Games With Cheap Talk

    Mayada Oudah, Talal Rahwan, Tawna Crandall, Jacob Crandall

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  • Deep TAMER: Interactive Agent Shaping in High-Dimensional State Spaces

    Garrett Warnell, Nicholas Waytowich, Vernon Lawhern, Peter Stone

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  • An Interpretable Joint Graphical Model for Fact-Checking From Crowds

    An Nguyen, Aditya Kharosekar, Matthew Lease, Byron Wallace

    PDF
  • Interactively Learning a Blend of Goal-Based and Procedural Tasks

    Aaron Mininger, John Laird

    PDF
  • Optimizing Interventions via Offline Policy Evaluation: Studies in Citizen Science

    Avi Segal, Kobi Gal, Ece Kamar, Eric Horvitz, Grant Miller

    PDF
  • Toward Deep Reinforcement Learning Without a Simulator: An Autonomous Steering Example

    Bar Hilleli, Ran El-Yaniv

    PDF
  • Anchors: High-Precision Model-Agnostic Explanations

    Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin

    PDF
  • Emergence of Grounded Compositional Language in Multi-Agent Populations

    Igor Mordatch, Pieter Abbeel

    PDF

AAAI Technical Track: Humans and AI

  • Cascade and Parallel Convolutional Recurrent Neural Networks on EEG-based Intention Recognition for Brain Computer Interface

    Dalin Zhang, Lina Yao, Xiang Zhang, Sen Wang, Weitong Chen, Robert Boots, Boualem Benatallah

    PDF
  • WiFi-Based Human Identification via Convex Tensor Shapelet Learning

    Han Zou, Yuxun Zhou, Jianfei Yang, Weixi Gu, Lihua Xie, Costas Spanos

    PDF
  • A Low-Cost Ethics Shaping Approach for Designing Reinforcement Learning Agents

    Yueh-Hua Wu, Shou-De Lin

    PDF
  • Towards Imperceptible and Robust Adversarial Example Attacks Against Neural Networks

    Bo Luo, Yannan Liu, Lingxiao Wei, Qiang Xu

    PDF
  • Coupled Deep Learning for Heterogeneous Face Recognition

    Xiang Wu, Lingxiao Song, Ran He, Tieniu Tan

    PDF
  • Beyond Sparsity: Tree Regularization of Deep Models for Interpretability

    Mike Wu, Michael Hughes, Sonali Parbhoo, Maurizio Zazzi, Volker Roth, Finale Doshi-Velez

    PDF
  • Deception Detection in Videos

    Zhe Wu, Bharat Singh, Larry Davis, V. Subrahmanian

    PDF
  • State of the Art: Reproducibility in Artificial Intelligence

    Odd Erik Gundersen, Sigbjørn Kjensmo

    PDF
  • Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing Their Input Gradients

    Andrew Ross, Finale Doshi-Velez

    PDF
  • Adapting a Kidney Exchange Algorithm to Align With Human Values

    Rachel Freedman, Jana Schaich Borg, Walter Sinnott-Armstrong, John Dickerson, Vincent Conitzer

    PDF

AAAI Technical Track: Human-Computation and Crowd Sourcing

  • Semi-Supervised Learning From Crowds Using Deep Generative Models

    Kyohei Atarashi, Satoshi Oyama, Masahito Kurihara

    PDF
  • Understanding Social Interpersonal Interaction via Synchronization Templates of Facial Events

    Rui Li, Jared Curhan, Mohammed Hoque

    PDF
  • Sentiment Analysis via Deep Hybrid Textual-Crowd Learning Model

    Kamran Ghasedi Dizaji, Heng Huang

    PDF
  • Deep Learning from Crowds

    Filipe Rodrigues, Francisco Pereira

    PDF
  • Adversarial Learning for Chinese NER From Crowd Annotations

    YaoSheng Yang, Meishan Zhang, Wenliang Chen, Wei Zhang, Haofen Wang, Min Zhang

    PDF
  • Understanding Over Participation in Simple Contests

    Priel Levy, David Sarne

    PDF
  • AdaFlock: Adaptive Feature Discovery for Human-in-the-loop Predictive Modeling

    Ryusuke Takahama, Yukino Baba, Nobuyuki Shimizu, Sumio Fujita, Hisashi Kashima

    PDF
  • Information Gathering With Peers: Submodular Optimization With Peer-Prediction Constraints

    Goran Radanovic, Adish Singla, Andreas Krause, Boi Faltings

    PDF
  • Partial Truthfulness in Minimal Peer Prediction Mechanisms With Limited Knowledge

    Goran Radanovic, Boi Faltings

    PDF
  • A Voting-Based System for Ethical Decision Making

    Ritesh Noothigattu, Snehalkumar Gaikwad, Edmond Awad, Sohan Dsouza, Iyad Rahwan, Pradeep Ravikumar, Ariel Procaccia

    PDF

AAAI Technical Track: Knowledge Representation and Reasoning

  • Convolutional 2D Knowledge Graph Embeddings

    Tim Dettmers, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel

    PDF
  • Question Answering as Global Reasoning Over Semantic Abstractions

    Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Dan Roth

    PDF
  • Machine-Translated Knowledge Transfer for Commonsense Causal Reasoning

    Jinyoung Yeo, Geungyu Wang, Hyunsouk Cho, Seungtaek Choi, Seung-won Hwang

    PDF
  • Fair Inference on Outcomes

    Razieh Nabi, Ilya Shpitser

    PDF
  • Optimised Maintenance of Datalog Materialisations

    Pan Hu, Boris Motik, Ian Horrocks

    PDF
  • Measuring Conditional Independence by Independent Residuals: Theoretical Results and Application in Causal Discovery

    Hao Zhang, Shuigeng Zhou, Jihong Guan

    PDF
  • Towards a Unified Framework for Syntactic Inconsistency Measures

    Glauber De Bona, John Grant, Anthony Hunter, Sébastien Konieczny

    PDF
  • Rational Inference Patterns Based on Conditional Logic

    Christian Eichhorn, Gabriele Kern-Isberner, Marco Ragni

    PDF
  • Towards Formal Definitions of Blameworthiness, Intention, and Moral Responsibility

    Joseph Halpern, Max Kleiman-Weiner

    PDF
  • SenticNet 5: Discovering Conceptual Primitives for Sentiment Analysis by Means of Context Embeddings

    Erik Cambria, Soujanya Poria, Devamanyu Hazarika, Kenneth Kwok

    PDF
  • In Praise of Belief Bases: Doing Epistemic Logic Without Possible Worlds

    Emiliano Lorini

    PDF
  • Situation Calculus Semantics for Actual Causality

    Vitaliy Batusov, Mikhail Soutchanski

    PDF
  • Complexity of Verification in Incomplete Argumentation Frameworks

    Dorothea Baumeister, Daniel Neugebauer, Jörg Rothe, Hilmar Schadrack

    PDF
  • Goal-Driven Query Answering for Existential Rules With Equality

    Michael Benedikt, Boris Motik, Efthymia Tsamoura

    PDF
  • Fairness in Decision-Making — The Causal Explanation Formula

    Junzhe Zhang, Elias Bareinboim

    PDF
  • Combining Rules and Ontologies into Clopen Knowledge Bases

    Labinot Bajraktari, Magdalena Ortiz, Mantas Šimkus

    PDF
  • SELF: Structural Equational Likelihood Framework for Causal Discovery

    Ruichu Cai, Jie Qiao, Zhenjie Zhang, Zhifeng Hao

    PDF
  • Repairing Ontologies via Axiom Weakening

    Nicolas Troquard, Roberto Confalonieri, Pietro Galliani, Rafael Peñaloza, Daniele Porello, Oliver Kutz

    PDF
  • Qualitative Reasoning About Cardinal Directions Using Answer Set Programming

    Yusuf Izmirlioglu, Esra Erdem

    PDF
  • Splitting an LPMLN Program

    Bin Wang, Zhizheng Zhang, Hongxiang Xu, Jun Shen

    PDF
  • Visual Explanation by High-Level Abduction: On Answer-Set Programming Driven Reasoning About Moving Objects

    Jakob Suchan, Mehul Bhatt, Przemysław Wałega, Carl Schultz

    PDF
  • Learning Abduction Using Partial Observability

    Brendan Juba, Zongyi Li, Evan Miller

    PDF
  • LTLf/LDLf Non-Markovian Rewards

    Ronen Brafman, Giuseppe De Giacomo, Fabio Patrizi

    PDF
  • Open-World Knowledge Graph Completion

    Baoxu Shi, Tim Weninger

    PDF
  • Incorporating GAN for Negative Sampling in Knowledge Representation Learning

    Peifeng Wang, Shuangyin Li, Rong Pan

    PDF
  • Stream Reasoning in Temporal Datalog

    Alessandro Ronca, Mark Kaminski, Bernardo Cuenca Grau, Boris Motik, Ian Horrocks

    PDF
  • TorusE: Knowledge Graph Embedding on a Lie Group

    Takuma Ebisu, Ryutaro Ichise

    PDF
  • Answering Regular Path Queries over SQ Ontologies

    Víctor Gutiérrez-Basulto, Yazmín Ibáñez-García, Jean Christoph Jung

    PDF
  • Externally Supported Models for Efficient Computation of Paracoherent Answer Sets

    Giovanni Amendola, Carmine Dodaro, Wolfgang Faber, Francesco Ricca

    PDF
  • Probabilistic Inference Over Repeated Insertion Models

    Batya Kenig, Lovro Ilijasić, Haoyue Ping, Benny Kimelfeld, Julia Stoyanovich

    PDF
  • Dependence in Propositional Logic: Formula-Formula Dependence and Formula Forgetting – Application to Belief Update and Conservative Extension

    Liangda Fang, Hai Wan, Xianqiao Liu, Biqing Fang, Zhaorong Lai

    PDF
  • On Consensus in Belief Merging

    Nicolas Schwind, Pierre Marquis

    PDF
  • How Many Properties Do We Need for Gradual Argumentation?

    Pietro Baroni, Antonio Rago, Francesca Toni

    PDF
  • Weighted Abstract Dialectical Frameworks

    Gerhard Brewka, Hannes Strass, Johannes Wallner, Stefan Woltran

    PDF
  • Measuring Strong Inconsistency

    Markus Ulbricht, Matthias Thimm, Gerhard Brewka

    PDF
  • Behavior Is Everything: Towards Representing Concepts with Sensorimotor Contingencies

    Nicholas Hay, Michael Stark, Alexander Schlegel, Carter Wendelken, Dennis Park, Eric Purdy, Tom Silver, D. Scott Phoenix, Dileep George

    PDF
  • Embedding of Hierarchically Typed Knowledge Bases

    Richong Zhang, Fanshuang Kong, Chenyue Wang, Yongyi Mao

    PDF
  • On the Satisfiability Problem of Patterns in SPARQL 1.1

    Xiaowang Zhang, Jan Van den Bussche, Kewen Wang, Zhe Wang

    PDF
  • Maximum A Posteriori Inference in Sum-Product Networks

    Jun Mei, Yong Jiang, Kewei Tu

    PDF
  • A Framework and Positive Results for IAR-answering

    Despoina Trivela, Giorgos Stoilos, Vasilis Vassalos

    PDF
  • Forgetting and Unfolding for Existential Rules

    Zhe Wang, Kewen Wang, Xiaowang Zhang

    PDF

AAAI Technical Track: Machine Learning

  • Examining CNN Representations With Respect to Dataset Bias

    Quanshi Zhang, Wenguan Wang, Song-Chun Zhu

    PDF
  • Cooperative Learning of Energy-Based Model and Latent Variable Model via MCMC Teaching

    Jianwen Xie, Yang Lu, Ruiqi Gao, Ying Nian Wu

    PDF
  • Source Traces for Temporal Difference Learning

    Silviu Pitis

    PDF
  • A Deep Model With Local Surrogate Loss for General Cost-Sensitive Multi-Label Learning

    Cheng-Yu Hsieh, Yi-An Lin, Hsuan-Tien Lin

    PDF
  • Asymmetric Deep Supervised Hashing

    Qing-Yuan Jiang, Wu-Jun Li

    PDF
  • Automatic Segmentation of Data Sequences

    Liangzhe Chen, Sorour E. Amiri, B. Aditya Prakash

    PDF
  • ARC: Adversarial Robust Cuts for Semi-Supervised and Multi-Label Classification

    Sima Behpour, Wei Xing, Brian Ziebart

    PDF
  • On the Optimal Bit Complexity of Circulant Binary Embedding

    Saehoon Kim, Jungtaek Kim, Seungjin Choi

    PDF
  • Interpreting CNN Knowledge via an Explanatory Graph

    Quanshi Zhang, Ruiming Cao, Feng Shi, Ying Nian Wu, Song-Chun Zhu

    PDF
  • From Monte Carlo to Las Vegas: Improving Restricted Boltzmann Machine Training Through Stopping Sets

    Pedro Savarese, Mayank Kakodkar, Bruno Ribeiro

    PDF
  • A Framework for Multistream Regression With Direct Density Ratio Estimation

    Ahsanul Haque, Hemeng Tao, Swarup Chandra, Jie Liu, Latifur Khan

    PDF
  • Deterministic Policy Optimization by Combining Pathwise and Score Function Estimators for Discrete Action Spaces

    Daniel Levy, Stefano Ermon

    PDF
  • Hypergraph p-Laplacian: A Differential Geometry View

    Shota Saito, Danilo Mandic, Hideyuki Suzuki

    PDF
  • Learning Transferable Subspace for Human Motion Segmentation

    Lichen Wang, Zhengming Ding, Yun Fu

    PDF
  • Latent Discriminant Subspace Representations for Multi-View Outlier Detection

    Kai Li, Sheng Li, Zhengming Ding, Weidong Zhang, Yun Fu

    PDF
  • Algorithms for Generalized Topic Modeling

    Avrim Blum, Nika Haghtalab

    PDF
  • Boosted Generative Models

    Aditya Grover, Stefano Ermon

    PDF
  • Detecting Adversarial Examples Through Image Transformation

    Shixin Tian, Guolei Yang, Ying Cai

    PDF
  • Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models

    Aditya Grover, Manik Dhar, Stefano Ermon

    PDF
  • When Waiting Is Not an Option: Learning Options With a Deliberation Cost

    Jean Harb, Pierre-Luc Bacon, Martin Klissarov, Doina Precup

    PDF
  • Bayesian Functional Optimization

    Ngo Anh Vien, Heiko Zimmermann, Marc Toussaint

    PDF
  • Gated-Attention Architectures for Task-Oriented Language Grounding

    Devendra Singh Chaplot, Kanthashree Mysore Sathyendra, Rama Kumar Pasumarthi, Dheeraj Rajagopal, Ruslan Salakhutdinov

    PDF
  • On Controlling the Size of Clusters in Probabilistic Clustering

    Aditya Jitta, Arto Klami

    PDF
  • Counterfactual Multi-Agent Policy Gradients

    Jakob Foerster, Gregory Farquhar, Triantafyllos Afouras, Nantas Nardelli, Shimon Whiteson

    PDF
  • Accelerated Method for Stochastic Composition Optimization With Nonsmooth Regularization

    Zhouyuan Huo, Bin Gu, Ji Liu, Heng Huang

    PDF
  • Rainbow: Combining Improvements in Deep Reinforcement Learning

    Matteo Hessel, Joseph Modayil, Hado van Hasselt, Tom Schaul, Georg Ostrovski, Will Dabney, Dan Horgan, Bilal Piot, Mohammad Azar, David Silver

    PDF
  • Safe Reinforcement Learning via Shielding

    Mohammed Alshiekh, Roderick Bloem, Rüdiger Ehlers, Bettina Könighofer, Scott Niekum, Ufuk Topcu

    PDF
  • Graph Scan Statistics With Uncertainty

    Jose Cadena, Arinjoy Basak, Anil Vullikanti, Xinwei Deng

    PDF
  • Decomposition Strategies for Constructive Preference Elicitation

    Paolo Dragone, Stefano Teso, Mohit Kumar, Andrea Passerini

    PDF
  • Action Branching Architectures for Deep Reinforcement Learning

    Arash Tavakoli, Fabio Pardo, Petar Kormushev

    PDF
  • Matrix Variate Gaussian Mixture Distribution Steered Robust Metric Learning

    Lei Luo, Heng Huang

    PDF
  • Inexact Proximal Gradient Methods for Non-Convex and Non-Smooth Optimization

    Bin Gu, De Wang, Zhouyuan Huo, Heng Huang

    PDF
  • Asynchronous Doubly Stochastic Sparse Kernel Learning

    Bin Gu, Miao Xin, Zhouyuan Huo, Heng Huang

    PDF
  • Constructive Preference Elicitation Over Hybrid Combinatorial Spaces

    Paolo Dragone, Stefano Teso, Andrea Passerini

    PDF
  • Trace Ratio Optimization With Feature Correlation Mining for Multiclass Discriminant Analysis

    Forough Rezaei Boroujeni, Sen Wang, Zhihui Li, Nicholas West, Bela Stantic, Lina Yao, Guodong Long

    PDF
  • A Continuous Relaxation of Beam Search for End-to-End Training of Neural Sequence Models

    Kartik Goyal, Graham Neubig, Chris Dyer, Taylor Berg-Kirkpatrick

    PDF
  • Mining Heavy Temporal Subgraphs: Fast Algorithms and Applications

    Jose Cadena, Anil Vullikanti

    PDF
  • High Rank Matrix Completion With Side Information

    Yugang Wang, Ehsan Elhamifar

    PDF
  • Learning Lexicographic Preference Trees From Positive Examples

    Hélène Fargier, Pierre-François Gimenez, Jérôme Mengin

    PDF
  • Long-Term Image Boundary Prediction

    Apratim Bhattacharyya, Mateusz Malinowski, Bernt Schiele, Mario Fritz

    PDF
  • Riemannian Stein Variational Gradient Descent for Bayesian Inference

    Chang Liu, Jun Zhu

    PDF
  • Semi-Supervised AUC Optimization Without Guessing Labels of Unlabeled Data

    Zheng Xie, Ming Li

    PDF
  • An Efficient, Expressive and Local Minima-Free Method for Learning Controlled Dynamical Systems

    Ahmed Hefny, Carlton Downey, Geoffrey Gordon

    PDF
  • Clustering Small Samples With Quality Guarantees: Adaptivity With One2all PPS

    Edith Cohen, Shiri Chechik, Haim Kaplan

    PDF
  • OptionGAN: Learning Joint Reward-Policy Options Using Generative Adversarial Inverse Reinforcement Learning

    Peter Henderson, Wei-Di Chang, Pierre-Luc Bacon, David Meger, Joelle Pineau, Doina Precup

    PDF
  • Spatio-Temporal Graph Convolution for Skeleton Based Action Recognition

    Chaolong Li, Zhen Cui, Wenming Zheng, Chunyan Xu, Jian Yang

    PDF
  • A Spherical Hidden Markov Model for Semantics-Rich Human Mobility Modeling

    Wanzheng Zhu, Chao Zhang, Shuochao Yao, Xiaobin Gao, Jiawei Han

    PDF
  • A Parallelizable Acceleration Framework for Packing Linear Programs

    Palma London, Shai Vardi, Adam Wierman, Hanling Yi

    PDF
  • Beyond Link Prediction: Predicting Hyperlinks in Adjacency Space

    Muhan Zhang, Zhicheng Cui, Shali Jiang, Yixin Chen

    PDF
  • Labeled Memory Networks for Online Model Adaptation

    Shiv Shankar, Sunita Sarawagi

    PDF
  • MDP-Based Cost Sensitive Classification Using Decision Trees

    Shlomi Maliah, Guy Shani

    PDF
  • An End-to-End Deep Learning Architecture for Graph Classification

    Muhan Zhang, Zhicheng Cui, Marion Neumann, Yixin Chen

    PDF
  • DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer

    Yuntao Chen, Naiyan Wang, Zhaoxiang Zhang

    PDF
  • Wasserstein Distance Guided Representation Learning for Domain Adaptation

    Jian Shen, Yanru Qu, Weinan Zhang, Yong Yu

    PDF
  • Automatic Parameter Tying: A New Approach for Regularized Parameter Learning in Markov Networks

    Li Chou, Pracheta Sahoo, Somdeb Sarkhel, Nicholas Ruozzi, Vibhav Gogate

    PDF
  • Gaussian Process Decentralized Data Fusion Meets Transfer Learning in Large-Scale Distributed Cooperative Perception

    Ruofei Ouyang, Kian Hsiang Low

    PDF
  • Overlap-Robust Decision Boundary Learning for Within-Network Classification

    Sharad Nandanwar, M. N. Murty

    PDF
  • Decentralized High-Dimensional Bayesian Optimization With Factor Graphs

    Trong Nghia Hoang, Quang Minh Hoang, Ruofei Ouyang, Kian Hsiang Low

    PDF
  • No Modes Left Behind: Capturing the Data Distribution Effectively Using GANs

    Shashank Sharma, Vinay Namboodiri

    PDF
  • Tau-FPL: Tolerance-Constrained Learning in Linear Time

    Ao Zhang, Nan Li, Jian Pu, Jun Wang, Junchi Yan, Hongyuan Zha

    PDF
  • Distributional Reinforcement Learning With Quantile Regression

    Will Dabney, Mark Rowland, Marc Bellemare, Rémi Munos

    PDF
  • Unsupervised Domain Adaptation With Distribution Matching Machines

    Yue Cao, Mingsheng Long, Jianmin Wang

    PDF
  • Lagrangian Constrained Community Detection

    Mohadeseh Ganji, James Bailey, Peter Stuckey

    PDF
  • Leaf-Smoothed Hierarchical Softmax for Ordinal Prediction

    Wesley Tansey, Karl Pichotta, James Scott

    PDF
  • Efficient Probabilistic Performance Bounds for Inverse Reinforcement Learning

    Daniel Brown, Scott Niekum

    PDF
  • Who Said What: Modeling Individual Labelers Improves Classification

    Melody Guan, Varun Gulshan, Andrew Dai, Geoffrey Hinton

    PDF
  • Deep Q-learning From Demonstrations

    Todd Hester, Matej Vecerik, Olivier Pietquin, Marc Lanctot, Tom Schaul, Bilal Piot, Dan Horgan, John Quan, Andrew Sendonaris, Ian Osband, Gabriel Dulac-Arnold, John Agapiou, Joel Leibo, Audrunas Gruslys

    PDF
  • Diverse Exploration for Fast and Safe Policy Improvement

    Andrew Cohen, Lei Yu, Robert Wright

    PDF
  • CoDiNMF: Co-Clustering of Directed Graphs via NMF

    Woosang Lim, Rundong Du, Haesun Park

    PDF
  • Learning Multi-Way Relations via Tensor Decomposition With Neural Networks

    Koji Maruhashi, Masaru Todoriki, Takuya Ohwa, Keisuke Goto, Yu Hasegawa, Hiroya Inakoshi, Hirokazu Anai

    PDF
  • Hypergraph Learning With Cost Interval Optimization

    Xibin Zhao, Nan Wang, Heyuan Shi, Hai Wan, Jin Huang, Yue Gao

    PDF
  • Learning From Semi-Supervised Weak-Label Data

    Hao-Chen Dong, Yu-Feng Li, Zhi-Hua Zhou

    PDF
  • Online Clustering of Contextual Cascading Bandits

    Shuai Li, Shengyu Zhang

    PDF
  • Selective Verification Strategy for Learning From Crowds

    Tian Tian, Yichi Zhou, Jun Zhu

    PDF
  • New l2,1-Norm Relaxation of Multi-Way Graph Cut for Clustering

    Xu Yang, Cheng Deng, Xianglong Liu, Feiping Nie

    PDF
  • Dictionary Learning in Optimal Metric Space

    Jiexi Yan, Cheng Deng, Xianglong Liu

    PDF
  • Multi-Adversarial Domain Adaptation

    Zhongyi Pei, Zhangjie Cao, Mingsheng Long, Jianmin Wang

    PDF
  • Less-Forgetful Learning for Domain Expansion in Deep Neural Networks

    Heechul Jung, Jeongwoo Ju, Minju Jung, Junmo Kim

    PDF
  • Orthogonal Weight Normalization: Solution to Optimization Over Multiple Dependent Stiefel Manifolds in Deep Neural Networks

    Lei Huang, Xianglong Liu, Bo Lang, Adams Yu, Yongliang Wang, Bo Li

    PDF
  • Reinforced Multi-Label Image Classification by Exploring Curriculum

    Shiyi He, Chang Xu, Tianyu Guo, Chao Xu, Dacheng Tao

    PDF
  • Deep Learning for Case-Based Reasoning Through Prototypes: A Neural Network That Explains Its Predictions

    Oscar Li, Hao Liu, Chaofan Chen, Cynthia Rudin

    PDF
  • Efficient K-Shot Learning With Regularized Deep Networks

    Donghyun Yoo, Haoqi Fan, Vishnu Boddeti, Kris Kitani

    PDF
  • Bernoulli Embeddings for Graphs

    Vinith Misra, Sumit Bhatia

    PDF
  • Sum-Product Autoencoding: Encoding and Decoding Representations Using Sum-Product Networks

    Antonio Vergari, Robert Peharz, Nicola Di Mauro, Alejandro Molina, Kristian Kersting, Floriana Esposito

    PDF
  • DID: Distributed Incremental Block Coordinate Descent for Nonnegative Matrix Factorization

    Tianxiang Gao, Chris Chu

    PDF
  • MERCS: Multi-Directional Ensembles of Regression and Classification Trees

    Elia Van Wolputte, Evgeniya Korneva, Hendrik Blockeel

    PDF
  • Optimal Margin Distribution Clustering

    Teng Zhang, Zhi-Hua Zhou

    PDF
  • On Multi-Relational Link Prediction With Bilinear Models

    Yanjie Wang, Rainer Gemulla, Hui Li

    PDF
  • Learning to Interact With Learning Agents

    Adish Singla, Hamed Hassani, Andreas Krause

    PDF
  • Learning With Options That Terminate Off-Policy

    Anna Harutyunyan, Peter Vrancx, Pierre-Luc Bacon, Doina Precup, Ann Nowé

    PDF
  • Substructure Assembling Network for Graph Classification

    Xiaohan Zhao, Bo Zong, Ziyu Guan, Kai Zhang, Wei Zhao

    PDF
  • Learning Graph-Structured Sum-Product Networks for Probabilistic Semantic Maps

    Kaiyu Zheng, Andrzej Pronobis, Rajesh Rao

    PDF
  • Learning Predictive State Representations From Non-Uniform Sampling

    Yuri Grinberg, Hossein Aboutalebi, Melanie Lyman-Abramovitch, Borja Balle, Doina Precup

    PDF
  • Belief Reward Shaping in Reinforcement Learning

    Ofir Marom, Benjamin Rosman

    PDF
  • Topic Modeling on Health Journals With Regularized Variational Inference

    Robert Giaquinto, Arindam Banerjee

    PDF
  • Incomplete Label Multi-Task Ordinal Regression for Spatial Event Scale Forecasting

    Yuyang Gao, Liang Zhao

    PDF
  • Subgraph Pattern Neural Networks for High-Order Graph Evolution Prediction

    Changping Meng, S Chandra Mouli, Bruno Ribeiro, Jennifer Neville

    PDF
  • A Change-Detection Based Framework for Piecewise-Stationary Multi-Armed Bandit Problem

    Fang Liu, Joohyun Lee, Ness Shroff

    PDF
  • Nonparametric Stochastic Contextual Bandits

    Melody Guan, Heinrich Jiang

    PDF
  • Deep Semi-Random Features for Nonlinear Function Approximation

    Kenji Kawaguchi, Bo Xie, Le Song

    PDF
  • Product Quantized Translation for Fast Nearest Neighbor Search

    Yoonho Hwang, Mooyeol Baek, Saehoon Kim, Bohyung Han, Hee-Kap Ahn

    PDF
  • Information Directed Sampling for Stochastic Bandits With Graph Feedback

    Fang Liu, Swapna Buccapatnam, Ness Shroff

    PDF
  • Kernel Cross-Correlator

    Chen Wang, Le Zhang, Lihua Xie, Junsong Yuan

    PDF
  • Personalized Privacy-Preserving Social Recommendation

    Xuying Meng, Suhang Wang, Kai Shu, Jundong Li, Bo Chen, Huan Liu, Yujun Zhang

    PDF
  • Estimating the Class Prior in Positive and Unlabeled Data Through Decision Tree Induction

    Jessa Bekker, Jesse Davis

    PDF
  • LSTD: A Low-Shot Transfer Detector for Object Detection

    Hao Chen, Yali Wang, Guoyou Wang, Yu Qiao

    PDF
  • An Optimal Online Method of Selecting Source Policies for Reinforcement Learning

    Siyuan Li, Chongjie Zhang

    PDF
  • Double Forward Propagation for Memorized Batch Normalization

    Yong Guo, Qingyao Wu, Chaorui Deng, Jian Chen, Mingkui Tan

    PDF
  • A Poisson Gamma Probabilistic Model for Latent Node-Group Memberships in Dynamic Networks

    Sikun Yang, Heinz Koeppl

    PDF
  • Imitation Learning via Kernel Mean Embedding

    Kee-Eung Kim, Hyun Soo Park

    PDF
  • Latent Semantic Aware Multi-View Multi-Label Classification

    Changqing Zhang, Ziwei Yu, Qinghua Hu, Pengfei Zhu, Xinwang Liu, Xiaobo Wang

    PDF
  • ROAR: Robust Label Ranking for Social Emotion Mining

    Jason (Jiasheng) Zhang, Dongwon Lee

    PDF
  • Learning to Rank Based on Analogical Reasoning

    Mohsen Ahmadi Fahandar, Eyke Hüllermeier

    PDF
  • SC2Net: Sparse LSTMs for Sparse Coding

    Joey Tianyi Zhou, Kai Di, Jiawei Du, Xi Peng, Hao Yang, Sinno Jialin Pan, Ivor Tsang, Yong Liu, Zheng Qin, Rick Siow Mong Goh

    PDF
  • Building Deep Networks on Grassmann Manifolds

    Zhiwu Huang, Jiqing Wu, Luc Van Gool

    PDF
  • Learning Mixtures of Random Utility Models

    Zhibing Zhao, Tristan Villamil, Lirong Xia

    PDF
  • Learning Combinatory Categorial Grammars for Plan Recognition

    Christopher Geib, Pavan Kantharaju

    PDF
  • Core Dependency Networks

    Alejandro Molina, Alexander Munteanu, Kristian Kersting

    PDF
  • AdaComp : Adaptive Residual Gradient Compression for Data-Parallel Distributed Training

    Chia-Yu Chen, Jungwook Choi, Daniel Brand, Ankur Agrawal, Wei Zhang, Kailash Gopalakrishnan

    PDF
  • Multi-Layer Multi-View Classification for Alzheimer’s Disease Diagnosis

    Changqing Zhang, Ehsan Adeli, Tao Zhou, Xiaobo Chen, Dinggang Shen

    PDF
  • Mixed Sum-Product Networks: A Deep Architecture for Hybrid Domains

    Alejandro Molina, Antonio Vergari, Nicola Di Mauro, Sriraam Natarajan, Floriana Esposito, Kristian Kersting

    PDF
  • AutoEncoder by Forest

    Ji Feng, Zhi-Hua Zhou

    PDF
  • Label Distribution Learning by Exploiting Sample Correlations Locally

    Xiang Zheng, Xiuyi Jia, Weiwei Li

    PDF
  • Deep Reinforcement Learning That Matters

    Peter Henderson, Riashat Islam, Philip Bachman, Joelle Pineau, Doina Precup, David Meger

    PDF
  • Dual Set Multi-Label Learning

    Chong Liu, Peng Zhao, Sheng-Jun Huang, Yuan Jiang, Zhi-Hua Zhou

    PDF
  • Fourier Feature Approximations for Periodic Kernels in Time-Series Modelling

    Anthony Tompkins, Fabio Ramos

    PDF
  • On Data-Dependent Random Features for Improved Generalization in Supervised Learning

    Shahin Shahrampour, Ahmad Beirami, Vahid Tarokh

    PDF
  • Margin Based PU Learning

    Tieliang Gong, Guangtao Wang, Jieping Ye, Zongben Xu, Ming Lin

    PDF
  • Transferable Contextual Bandit for Cross-Domain Recommendation

    Bo Liu, Ying Wei, Yu Zhang, Zhixian Yan, Qiang Yang

    PDF
  • Learning With Incomplete Labels

    Yingming Li, Zenglin Xu, Zhongfei Zhang

    PDF
  • Dialogue Act Sequence Labeling Using Hierarchical Encoder With CRF

    Harshit Kumar, Arvind Agarwal, Riddhiman Dasgupta, Sachindra Joshi

    PDF
  • Balanced Clustering via Exclusive Lasso: A Pragmatic Approach

    Zhihui Li, Feiping Nie, Xiaojun Chang, Zhigang Ma, Yi Yang

    PDF
  • EMD Metric Learning

    Zizhao Zhang, Yubo Zhang, Xibin Zhao, Yue Gao

    PDF
  • Quantized Memory-Augmented Neural Networks

    Seongsik Park, Seijoon Kim, Seil Lee, Ho Bae, Sungroh Yoon

    PDF
  • Active Lifelong Learning With “Watchdog”

    Gan Sun, Yang Cong, Xiaowei Xu

    PDF
  • Compact Multi-Label Learning

    Xiaobo Shen, Weiwei Liu, Ivor Tsang, Quan-Sen Sun, Yew-Soon Ong

    PDF
  • Hierarchical Policy Search via Return-Weighted Density Estimation

    Takayuki Osa, Masashi Sugiyama

    PDF
  • gOCCF: Graph-Theoretic One-Class Collaborative Filtering Based on Uninteresting Items

    Yeon-Chang Lee, Sang-Wook Kim, Dongwon Lee

    PDF
  • Efficient Architecture Search by Network Transformation

    Han Cai, Tianyao Chen, Weinan Zhang, Yong Yu, Jun Wang

    PDF
  • Randomized Kernel Selection With Spectra of Multilevel Circulant Matrices

    Lizhong Ding, Shizhong Liao, Yong Liu, Peng Yang, Xin Gao

    PDF
  • Extremely Low Bit Neural Network: Squeeze the Last Bit Out With ADMM

    Cong Leng, Zesheng Dou, Hao Li, Shenghuo Zhu, Rong Jin

    PDF
  • Automatic Model Selection in Subspace Clustering via Triplet Relationships

    Jufeng Yang, Jie Liang, Kai Wang, Yong-Liang Yang, Ming-Ming Cheng

    PDF
  • Dynamic Optimization of Neural Network Structures Using Probabilistic Modeling

    Shinichi Shirakawa, Yasushi Iwata, Youhei Akimoto

    PDF
  • Variational Probability Flow for Biologically Plausible Training of Deep Neural Networks

    Zuozhu Liu, Tony Quek, Shaowei Lin

    PDF
  • Exploiting Emotion on Reviews for Recommender Systems

    Xuying Meng, Suhang Wang, Huan Liu, Yujun Zhang

    PDF
  • Statistical Inference Using SGD

    Tianyang Li, Liu Liu, Anastasios Kyrillidis, Constantine Caramanis

    PDF
  • Alternating Optimisation and Quadrature for Robust Control

    Supratik Paul, Konstantinos Chatzilygeroudis, Kamil Ciosek, Jean-Baptiste Mouret, Michael Osborne, Shimon Whiteson

    PDF
  • Regularizing Deep Networks Using Efficient Layerwise Adversarial Training

    Swami Sankaranarayanan, Arpit Jain, Rama Chellappa, Ser Nam Lim

    PDF
  • Coupled Poisson Factorization Integrated With User/Item Metadata for Modeling Popular and Sparse Ratings in Scalable Recommendation

    Trong Dinh Thac Do, Longbing Cao

    PDF
  • Doubly Approximate Nearest Neighbor Classification

    Weiwei Liu, Zhuanghua Liu, Ivor Tsang, Wenjie Zhang, Xuemin Lin

    PDF
  • Adaptive Graph Convolutional Neural Networks

    Ruoyu Li, Sheng Wang, Feiyun Zhu, Junzhou Huang

    PDF
  • Sparse Modeling-Based Sequential Ensemble Learning for Effective Outlier Detection in High-Dimensional Numeric Data

    Guansong Pang, Longbing Cao, Ling Chen, Defu Lian, Huan Liu

    PDF
  • Efficient Test-Time Predictor Learning With Group-Based Budget

    Li Wang, Dajiang Zhu, Yujie Chi

    PDF
  • Alternating Circulant Random Features for Semigroup Kernels

    Yusuke Mukuta, Yoshitaka Ushiku, Tatsuya Harada

    PDF
  • Direct Hashing Without Pseudo-Labels

    Feng Zheng, Heng Huang

    PDF
  • Distant-Supervision of Heterogeneous Multitask Learning for Social Event Forecasting With Multilingual Indicators

    Liang Zhao, Junxiang Wang, Xiaojie Guo

    PDF
  • Approximate Vanishing Ideal via Data Knotting

    Hiroshi Kera, Yoshihiko Hasegawa

    PDF
  • Feature Engineering for Predictive Modeling Using Reinforcement Learning

    Udayan Khurana, Horst Samulowitz, Deepak Turaga

    PDF
  • Robust Formulation for PCA: Avoiding Mean Calculation With L2,p-norm Maximization

    Shuangli Liao, Jin Li, Yang Liu, Quanxue Gao, Xinbo Gao

    PDF
  • Learning Across Scales—Multiscale Methods for Convolution Neural Networks

    Eldad Haber, Lars Ruthotto, Elliot Holtham, Seong-Hwan Jun

    PDF
  • An Euclidean Distance Based on Tensor Product Graph Diffusion Related Attribute Value Embedding for Nominal Data Clustering

    Lei Gu, Ningning Zhou, Yang Zhao

    PDF
  • Domain Generalization via Conditional Invariant Representations

    Ya Li, Mingming Gong, Xinmei Tian, Tongliang Liu, Dacheng Tao

    PDF
  • Towards Ultra-High Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-Optimization Framework

    Yanzhi Wang, Caiwen Ding, Zhe Li, Geng Yuan, Siyu Liao, Xiaolong Ma, Bo Yuan, Xuehai Qian, Jian Tang, Qinru Qiu, Xue Lin

    PDF
  • A Provable Approach for Double-Sparse Coding

    Thanh Nguyen, Raymond Wong, Chinmay Hegde

    PDF
  • Link Prediction via Subgraph Embedding-Based Convex Matrix Completion

    Zhu Cao, Linlin Wang, Gerard de Melo

    PDF
  • Feature-Induced Labeling Information Enrichment for Multi-Label Learning

    Qian-Wen Zhang, Yun Zhong, Min-Ling Zhang

    PDF
  • On Convergence of Epanechnikov Mean Shift

    Kejun Huang, Xiao Fu, Nicholas Sidiropoulos

    PDF
  • Nonconvex Sparse Spectral Clustering by Alternating Direction Method of Multipliers and Its Convergence Analysis

    Canyi Lu, Jiashi Feng, Zhouchen Lin, Shuicheng Yan

    PDF
  • Word Co-Occurrence Regularized Non-Negative Matrix Tri-Factorization for Text Data Co-Clustering

    Aghiles Salah, Melissa Ailem, Mohamed Nadif

    PDF
  • From Hashing to CNNs: Training Binary Weight Networks via Hashing

    Qinghao Hu, Peisong Wang, Jian Cheng

    PDF
  • Information-Theoretic Domain Adaptation Under Severe Noise Conditions

    Wei Wang, Hao Wang, Zhi-Yong Ran, Ran He

    PDF
  • Non-Discriminatory Machine Learning Through Convex Fairness Criteria

    Naman Goel, Mohammad Yaghini, Boi Faltings

    PDF
  • Deep Neural Network Compression With Single and Multiple Level Quantization

    Yuhui Xu, Yongzhuang Wang, Aojun Zhou, Weiyao Lin, Hongkai Xiong

    PDF
  • Label Distribution Learning by Exploiting Label Correlations

    Xiuyi Jia, Weiwei Li, Junyu Liu, Yu Zhang

    PDF
  • SNNN: Promoting Word Sentiment and Negation in Neural Sentiment Classification

    Qinmin Hu, Jie Zhou, Qin Chen, Liang He

    PDF
  • Reduced-Rank Linear Dynamical Systems

    Qi She, Yuan Gao, Kai Xu, Rosa Chan

    PDF
  • Adversarial Learning of Portable Student Networks

    Yunhe Wang, Chang Xu, Chao Xu, Dacheng Tao

    PDF
  • Reversible Architectures for Arbitrarily Deep Residual Neural Networks

    Bo Chang, Lili Meng, Eldad Haber, Lars Ruthotto, David Begert, Elliot Holtham

    PDF
  • Online Learning for Structured Loss Spaces

    Siddharth Barman, Aditya Gopalan, Aadirupa Saha

    PDF
  • Euler Sparse Representation for Image Classification

    Yang Liu, Quanxue Gao, Jungong Han, Shujian Wang

    PDF
  • FiLM: Visual Reasoning with a General Conditioning Layer

    Ethan Perez, Florian Strub, Harm de Vries, Vincent Dumoulin, Aaron Courville

    PDF
  • Learning to Attack: Adversarial Transformation Networks

    Shumeet Baluja, Ian Fischer

    PDF
  • Sparse Gaussian Conditional Random Fields on Top of Recurrent Neural Networks

    Xishun Wang, Minjie Zhang, Fenghui Ren

    PDF
  • Adversarial Dropout for Supervised and Semi-Supervised Learning

    Sungrae Park, JunKeon Park, Su-Jin Shin, Il-Chul Moon

    PDF
  • Attend and Diagnose: Clinical Time Series Analysis Using Attention Models

    Huan Song, Deepta Rajan, Jayaraman Thiagarajan, Andreas Spanias

    PDF
  • Learning With Single-Teacher Multi-Student

    Shan You, Chang Xu, Chao Xu, Dacheng Tao

    PDF
  • Approximate and Exact Enumeration of Rule Models

    Satoshi Hara, Masakazu Ishihata

    PDF
  • Decoupled Convolutions for CNNs

    Guotian Xie, Ting Zhang, Kuiyuan Yang, Jianhuang Lai, Jingdong Wang

    PDF
  • Characterization of the Convex Łukasiewicz Fragment for Learning From Constraints

    Francesco Giannini, Michelangelo Diligenti, Marco Gori, Marco Maggini

    PDF
  • Joint Learning of Set Cardinality and State Distribution

    S. Hamid Rezatofighi, Anton Milan, Qinfeng Shi, Anthony Dick, Ian Reid

    PDF
  • A General Formulation for Safely Exploiting Weakly Supervised Data

    Lan-Zhe Guo, Yu-Feng Li

    PDF
  • Bayesian Robust Attributed Graph Clustering: Joint Learning of Partial Anomalies and Group Structure

    Aleksandar Bojchevski, Stephan Günnemann

    PDF
  • On the ERM Principle With Networked Data

    Yuanhong Wang, Yuyi Wang, Xingwu Liu, Juhua Pu

    PDF
  • Partial Multi-Label Learning

    Ming-Kun Xie, Sheng-Jun Huang

    PDF
  • Teaching a Machine to Read Maps With Deep Reinforcement Learning

    Gino Brunner, Oliver Richter, Yuyi Wang, Roger Wattenhofer

    PDF
  • On Value Function Representation of Long Horizon Problems

    Lucas Lehnert, Romain Laroche, Harm van Seijen

    PDF
  • Interpretable Graph-Based Semi-Supervised Learning via Flows

    Raif Rustamov, James Klosowski

    PDF
  • Orthant-Wise Passive Descent Algorithms for Training L1-Regularized Models

    Jianqiao Wangni

    PDF
  • Joint Dictionaries for Zero-Shot Learning

    Soheil Kolouri, Mohammad Rostami, Yuri Owechko, Kyungnam Kim

    PDF
  • SAGA: A Submodular Greedy Algorithm for Group Recommendation

    Shameem Puthiya Parambath, Nishant Vijayakumar, Sanjay Chawla

    PDF
  • Measuring Catastrophic Forgetting in Neural Networks

    Ronald Kemker, Marc McClure, Angelina Abitino, Tyler Hayes, Christopher Kanan

    PDF
  • Human Guided Linear Regression With Feature-Level Constraints

    Aubrey Gress, Ian Davidson

    PDF
  • Unified Spectral Clustering With Optimal Graph

    Zhao Kang, Chong Peng, Qiang Cheng, Zenglin Xu

    PDF
  • Randomized Clustered Nystrom for Large-Scale Kernel Machines

    Farhad Pourkamali-Anaraki, Stephen Becker, Michael Wakin

    PDF
  • Proper Loss Functions for Nonlinear Hawkes Processes

    Aditya Menon, Young Lee

    PDF
  • Data-Dependent Learning of Symmetric/Antisymmetric Relations for Knowledge Base Completion

    Hitoshi Manabe, Katsuhiko Hayashi, Masashi Shimbo

    PDF
  • Consistent and Specific Multi-View Subspace Clustering

    Shirui Luo, Changqing Zhang, Wei Zhang, Xiaochun Cao

    PDF
  • HodgeRank With Information Maximization for Crowdsourced Pairwise Ranking Aggregation

    Qianqian Xu, Jiechao Xiong, Xi Chen, Qingming Huang, Yuan Yao

    PDF
  • ATRank: An Attention-Based User Behavior Modeling Framework for Recommendation

    Chang Zhou, Jinze Bai, Junshuai Song, Xiaofei Liu, Zhengchao Zhao, Xiusi Chen, Jun Gao

    PDF
  • Efficient Multi-Dimensional Tensor Sparse Coding Using t-Linear Combination

    Fei Jiang, Xiao-Yang Liu, Hongtao Lu, Ruimin Shen

    PDF
  • Reliable Multi-View Clustering

    Hong Tao, Chenping Hou, Xinwang Liu, Tongliang Liu, Dongyun Yi, Jubo Zhu

    PDF
  • Nonlinear Pairwise Layer and Its Training for Kernel Learning

    Fanghui Liu, Xiaolin Huang, Chen Gong, Jie Yang, Li Li

    PDF
  • Adaptive Quantization for Deep Neural Network

    Yiren Zhou, Seyed-Mohsen Moosavi-Dezfooli, Ngai-Man Cheung, Pascal Frossard

    PDF
  • Weighted Multi-View Spectral Clustering Based on Spectral Perturbation

    Linlin Zong, Xianchao Zhang, Xinyue Liu, Hong Yu

    PDF
  • Training CNNs With Normalized Kernels

    Mete Ozay, Takayuki Okatani

    PDF
  • Predictive Coding Machine for Compressed Sensing and Image Denoising

    Jun Li, Hongfu Liu, Yun Fu

    PDF
  • Sample-Efficient Learning of Mixtures

    Hassan Ashtiani, Shai Ben-David, Abbas Mehrabian

    PDF
  • Unsupervised Personalized Feature Selection

    Jundong Li, Liang Wu, Harsh Dani, Huan Liu

    PDF
  • Dynamic Deep Neural Networks: Optimizing Accuracy-Efficiency Trade-Offs by Selective Execution

    Lanlan Liu, Jia Deng

    PDF
  • Budget-Constrained Multi-Armed Bandits With Multiple Plays

    Datong Zhou, Claire Tomlin

    PDF
  • Multi-Step Reinforcement Learning: A Unifying Algorithm

    Kristopher De Asis, J. Hernandez-Garcia, G. Holland, Richard Sutton

    PDF
  • Non-Parametric Outliers Detection in Multiple Time Series A Case Study: Power Grid Data Analysis

    Yuxun Zhou, Han Zou, Reza Arghandeh, Weixi Gu, Costas Spanos

    PDF
  • PAC Reinforcement Learning With an Imperfect Model

    Nan Jiang

    PDF
  • Selective Experience Replay for Lifelong Learning

    David Isele, Akansel Cosgun

    PDF
  • Metric-Based Auto-Instructor for Learning Mixed Data Representation

    Songlei Jian, Liang Hu, Longbing Cao, Kai Lu

    PDF
  • Learning to Generalize: Meta-Learning for Domain Generalization

    Da Li, Yongxin Yang, Yi-Zhe Song, Timothy Hospedales

    PDF
  • Dynamic Determinantal Point Processes

    Takayuki Osogami, Rudy Raymond, Akshay Goel, Tomoyuki Shirai, Takanori Maehara

    PDF
  • Zero-Shot Learning via Class-Conditioned Deep Generative Models

    Wenlin Wang, Yunchen Pu, Vinay Verma, Kai Fan, Yizhe Zhang, Changyou Chen, Piyush Rai, Lawrence Carin

    PDF
  • Stochastic Non-Convex Ordinal Embedding With Stabilized Barzilai-Borwein Step Size

    Ke Ma, Jinshan Zeng, Jiechao Xiong, Qianqian Xu, Xiaochun Cao, Wei Liu, Yuan Yao

    PDF
  • Rocket Launching: A Universal and Efficient Framework for Training Well-Performing Light Net

    Guorui Zhou, Ying Fan, Runpeng Cui, Weijie Bian, Xiaoqiang Zhu, Kun Gai

    PDF
  • Perception Coordination Network: A Framework for Online Multi-Modal Concept Acquisition and Binding

    You-Lu Xing, Fu-Rao Shen, Jin-Xi Zhao, Jing-Xin Pan, Ah-Hwee Tan

    PDF
  • Learning Vector Autoregressive Models With Latent Processes

    Saber Salehkaleybar, Jalal Etesami, Negar Kiyavash, Kun Zhang

    PDF
  • Deeper Insights Into Graph Convolutional Networks for Semi-Supervised Learning

    Qimai Li, Zhichao Han, Xiao-ming Wu

    PDF
  • Batchwise Patching of Classifiers

    Sebastian Kauschke, Johannes Fürnkranz

    PDF
  • Reinforcement Learning in POMDPs With Memoryless Options and Option-Observation Initiation Sets

    Denis Steckelmacher, Diederik Roijers, Anna Harutyunyan, Peter Vrancx, Hélène Plisnier, Ann Nowé

    PDF
  • Expected Policy Gradients

    Kamil Ciosek, Shimon Whiteson

    PDF
  • A Batch Learning Framework for Scalable Personalized Ranking

    Kuan Liu, Prem Natarajan

    PDF
  • Label Distribution Learning by Optimal Transport

    Peng Zhao, Zhi-Hua Zhou

    PDF
  • Training Set Debugging Using Trusted Items

    Xuezhou Zhang, Xiaojin Zhu, Stephen Wright

    PDF
  • A Probabilistic Hierarchical Model for Multi-View and Multi-Feature Classification

    Jinxing Li, Hongwei Yong, Bob Zhang, Mu Li, Lei Zhang, David Zhang

    PDF
  • Informed Non-Convex Robust Principal Component Analysis With Features

    Niannan Xue, Jiankang Deng, Yannis Panagakis, Stefanos Zafeiriou

    PDF

AAAI Technical Track: Multiagent Systems

  • The Role of Data-Driven Priors in Multi-Agent Crowd Trajectory Estimation

    Gang Qiao, Sejong Yoon, Mubbasir Kapadia, Vladimir Pavlovic

    PDF
  • Dilated FCN for Multi-Agent 2D/3D Medical Image Registration

    Shun Miao, Sebastien Piat, Peter Fischer, Ahmet Tuysuzoglu, Philip Mewes, Tommaso Mansi, Rui Liao

    PDF
  • Manipulative Elicitation — A New Attack on Elections with Incomplete Preferences

    Palash Dey

    PDF
  • POMDP-Based Decision Making for Fast Event Handling in VANETs

    Shuo Chen, Athirai Irissappane, Jie Zhang

    PDF
  • Strategic Coalitions With Perfect Recall

    Pavel Naumov, Jia Tao

    PDF
  • An Ant-Based Algorithm to Solve Distributed Constraint Optimization Problems

    Ziyu Chen, Tengfei Wu, Yanchen Deng, Cheng Zhang

    PDF
  • Social Norms of Cooperation With Costly Reputation Building

    Fernando Santos, Jorge Pacheco, Francisco Santos

    PDF
  • HogRider: Champion Agent of Microsoft Malmo Collaborative AI Challenge

    Yanhai Xiong, Haipeng Chen, Mengchen Zhao, Bo An

    PDF
  • Control Argumentation Frameworks

    Yannis Dimopoulos, Jean-Guy Mailly, Pavlos Moraitis

    PDF
  • Privacy-Preserving Policy Iteration for Decentralized POMDPs

    Feng Wu, Shlomo Zilberstein, Xiaoping Chen

    PDF
  • Maximizing Influence in an Unknown Social Network

    Bryan Wilder, Nicole Immorlica, Eric Rice, Milind Tambe

    PDF
  • Decentralised Learning in Systems With Many, Many Strategic Agents

    David Mguni, Joel Jennings, Enrique Munoz de Cote

    PDF
  • Multiagent Connected Path Planning: PSPACE-Completeness and How to Deal With It

    Davide Tateo, Jacopo Banfi, Alessandro Riva, Francesco Amigoni, Andrea Bonarini

    PDF
  • Learning the Behavior of a Dynamical System Via a “20 Questions” Approach

    Abhijin Adiga, Chris Kuhlman, Madhav Marathe, Ravi S. S., Daniel Rosenkrantz, Richard Stearns

    PDF
  • Integrated Cooperation and Competition in Multi-Agent Decision-Making

    Kyle Wray, Akshat Kumar, Shlomo Zilberstein

    PDF
  • Knowledge, Fairness, and Social Constraints

    Haris Aziz, Sylvain Bouveret, Ioannis Caragiannis, Ira Giagkousi, Jérôme Lang

    PDF
  • Dynamic Pricing for Reusable Resources in Competitive Market With Stochastic Demand

    Jiang Rong, Tao Qin, Bo An

    PDF
  • Preallocation and Planning Under Stochastic Resource Constraints

    Frits de Nijs, Matthijs Spaan, Mathijs de Weerdt

    PDF

AAAI Technical Track: Reasoning under Uncertainty

  • Relational Marginal Problems: Theory and Estimation

    Ondřej Kuželka, Yuyi Wang, Jesse Davis, Steven Schockaert

    PDF
  • Optimal Approximation of Random Variables for Estimating the Probability of Meeting a Plan Deadline

    Liat Cohen, Tal Grinshpoun, Gera Weiss

    PDF
  • Learning Robust Options

    Daniel Mankowitz, Timothy Mann, Pierre-Luc Bacon, Doina Precup, Shie Mannor

    PDF
  • Hawkes Process Inference With Missing Data

    Christian Shelton, Zhen Qin, Chandini Shetty

    PDF
  • An Experimental Study of Advice in Sequential Decision-Making Under Uncertainty

    Florian Benavent, Bruno Zanuttini

    PDF
  • Towards Training Probabilistic Topic Models on Neuromorphic Multi-Chip Systems

    Zihao Xiao, Jianfei Chen, Jun Zhu

    PDF
  • Conditional PSDDs: Modeling and Learning With Modular Knowledge

    Yujia Shen, Arthur Choi, Adnan Darwiche

    PDF
  • Learning Mixtures of MLNs

    Mohammad Islam, Somdeb Sarkhel, Deepak Venugopal

    PDF
  • Risk-Sensitive Submodular Optimization

    Bryan Wilder

    PDF
  • Information Acquisition Under Resource Limitations in a Noisy Environment

    Matvey Soloviev, Joseph Halpern

    PDF
  • Anytime Anyspace AND/OR Best-First Search for Bounding Marginal MAP

    Qi Lou, Rina Dechter, Alexander Ihler

    PDF
  • A Neural Stochastic Volatility Model

    Rui Luo, Weinan Zhang, Xiaojun Xu, Jun Wang

    PDF
  • Generalized Adjustment Under Confounding and Selection Biases

    Juan Correa, Jin Tian, Elias Bareinboim

    PDF
  • Lifted Generalized Dual Decomposition

    Nicholas Gallo, Alexander Ihler

    PDF
  • Approximate Inference via Weighted Rademacher Complexity

    Jonathan Kuck, Ashish Sabharwal, Stefano Ermon

    PDF
  • Armstrong’s Axioms and Navigation Strategies

    Kaya Deuser, Pavel Naumov

    PDF
  • Efficient-UCBV: An Almost Optimal Algorithm Using Variance Estimates

    Subhojyoti Mukherjee, K. P. Naveen, Nandan Sudarsanam, Balaraman Ravindran

    PDF
  • RelNN: A Deep Neural Model for Relational Learning

    Seyed Mehran Kazemi, David Poole

    PDF
  • Combining Experts’ Causal Judgments

    Dalal Alrajeh, Hana Chockler, Joseph Halpern

    PDF

AAAI Technical Track: Robotics

  • Iterative Continuous Convolution for 3D Template Matching and Global Localization

    Vitor Guizilini, Fabio Ramos

    PDF
  • From Virtual Demonstration to Real-World Manipulation Using LSTM and MDN

    Rouhollah Rahmatizadeh, Pooya Abolghasemi, Aman Behal, Ladislau Bölöni

    PDF
  • Improved Results for Minimum Constraint Removal

    Eduard Eiben, Jonathan Gemmell, Iyad Kanj, Andrew Youngdahl

    PDF
  • Learning Integrated Holism-Landmark Representations for Long-Term Loop Closure Detection

    Fei Han, Hua Wang, Hao Zhang

    PDF
  • IONet: Learning to Cure the Curse of Drift in Inertial Odometry

    Changhao Chen, Xiaoxuan Lu, Andrew Markham, Niki Trigoni

    PDF
  • Safe Exploration and Optimization of Constrained MDPs Using Gaussian Processes

    Akifumi Wachi, Yanan Sui, Yisong Yue, Masahiro Ono

    PDF
  • Building Continuous Occupancy Maps With Moving Robots

    Ransalu Senanayake, Fabio Ramos

    PDF
  • Phase-Parametric Policies for Reinforcement Learning in Cyclic Environments

    Arjun Sharma, Kris Kitani

    PDF
  • Guiding Search in Continuous State-Action Spaces by Learning an Action Sampler From Off-Target Search Experience

    Beomjoon Kim, Leslie Kaelbling, Tomás Lozano-Pérez

    PDF
  • Safe Reinforcement Learning via Formal Methods: Toward Safe Control Through Proof and Learning

    Nathan Fulton, André Platzer

    PDF
  • Unsupervised Selection of Negative Examples for Grounded Language Learning

    Nisha Pillai, Cynthia Matuszek

    PDF

AAAI Technical Track: Vision

  • T-C3D: Temporal Convolutional 3D Network for Real-Time Action Recognition

    Kun Liu, Wu Liu, Chuang Gan, Mingkui Tan, Huadong Ma

    PDF
  • A Cascaded Inception of Inception Network With Attention Modulated Feature Fusion for Human Pose Estimation

    Wentao Liu, Jie Chen, Cheng Li, Chen Qian, Xiao Chu, Xiaolin Hu

    PDF
  • A Deep Ranking Model for Spatio-Temporal Highlight Detection From a 360◦ Video

    Youngjae Yu, Sangho Lee, Joonil Na, Jaeyun Kang, Gunhee Kim

    PDF
  • Progressive Cognitive Human Parsing

    Bingke Zhu, Yingying Chen, Ming Tang, Jinqiao Wang

    PDF
  • Accelerated Training for Massive Classification via Dynamic Class Selection

    Xingcheng Zhang, Lei Yang, Junjie Yan, Dahua Lin

    PDF
  • Transfer Adversarial Hashing for Hamming Space Retrieval

    Zhangjie Cao, Mingsheng Long, Chao Huang, Jianmin Wang

    PDF
  • Semi-Supervised Bayesian Attribute Learning for Person Re-Identification

    Wenhe Liu, Xiaojun Chang, Ling Chen, Yi Yang

    PDF
  • Unravelling Robustness of Deep Learning Based Face Recognition Against Adversarial Attacks

    Gaurav Goswami, Nalini Ratha, Akshay Agarwal, Richa Singh, Mayank Vatsa

    PDF
  • Diverse Beam Search for Improved Description of Complex Scenes

    Ashwin Vijayakumar, Michael Cogswell, Ramprasaath Selvaraju, Qing Sun, Stefan Lee, David Crandall, Dhruv Batra

    PDF
  • Towards Automatic Learning of Procedures From Web Instructional Videos

    Luowei Zhou, Chenliang Xu, Jason Corso

    PDF
  • Using Syntax to Ground Referring Expressions in Natural Images

    Volkan Cirik, Taylor Berg-Kirkpatrick, Louis-Philippe Morency

    PDF
  • Doing the Best We Can With What We Have: Multi-Label Balancing With Selective Learning for Attribute Prediction

    Emily Hand, Carlos Castillo, Rama Chellappa

    PDF
  • 3D Box Proposals From a Single Monocular Image of an Indoor Scene

    Wei Zhuo, Mathieu Salzmann, Xuming He, Miaomiao Liu

    PDF
  • Understanding Image Impressiveness Inspired by Instantaneous Human Perceptual Cues

    Jufeng Yang, Yan Sun, Jie Liang, Yong-Liang Yang, Ming-Ming Cheng

    PDF
  • Understanding Human Behaviors in Crowds by Imitating the Decision-Making Process

    Haosheng Zou, Hang Su, Shihong Song, Jun Zhu

    PDF
  • Multimodal Keyless Attention Fusion for Video Classification

    Xiang Long, Chuang Gan, Gerard Melo, Xiao Liu, Yandong Li, Fu Li, Shilei Wen

    PDF
  • Show, Reward and Tell: Automatic Generation of Narrative Paragraph From Photo Stream by Adversarial Training

    Jing Wang, Jianlong Fu, Jinhui Tang, Zechao Li, Tao Mei

    PDF
  • Towards Perceptual Image Dehazing by Physics-Based Disentanglement and Adversarial Training

    Xitong Yang, Zheng Xu, Jiebo Luo

    PDF
  • Cross-Domain Human Parsing via Adversarial Feature and Label Adaptation

    Si Liu, Yao Sun, Defa Zhu, Guanghui Ren, Yu Chen, Jiashi Feng, Jizhong Han

    PDF
  • Generating Triples With Adversarial Networks for Scene Graph Construction

    Matthew Klawonn, Eric Heim

    PDF
  • Dual-Reference Face Retrieval

    BingZhang Hu, Feng Zheng, Ling Shao

    PDF
  • Co-Domain Embedding Using Deep Quadruplet Networks for Unseen Traffic Sign Recognition

    Junsik Kim, Seokju Lee, Tae-Hyun Oh, In So Kweon

    PDF
  • Action Prediction From Videos via Memorizing Hard-to-Predict Samples

    Yu Kong, Shangqian Gao, Bin Sun, Yun Fu

    PDF
  • MixedPeds: Pedestrian Detection in Unannotated Videos Using Synthetically Generated Human-Agents for Training

    Ernest Cheung, Anson Wong, Aniket Bera, Dinesh Manocha

    PDF
  • DLPaper2Code: Auto-Generation of Code From Deep Learning Research Papers

    Akshay Sethi, Anush Sankaran, Naveen Panwar, Shreya Khare, Senthil Mani

    PDF
  • Merge or Not? Learning to Group Faces via Imitation Learning

    Yue He, Kaidi Cao, Cheng Li, Chen Loy

    PDF
  • Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition

    Sijie Yan, Yuanjun Xiong, Dahua Lin

    PDF
  • CMCGAN: A Uniform Framework for Cross-Modal Visual-Audio Mutual Generation

    Wangli Hao, Zhaoxiang Zhang, He Guan

    PDF
  • Integrating Both Visual and Audio Cues for Enhanced Video Caption

    Wangli Hao, Zhaoxiang Zhang, He Guan

    PDF
  • Mix-and-Match Tuning for Self-Supervised Semantic Segmentation

    Xiaohang Zhan, Ziwei Liu, Ping Luo, Xiaoou Tang, Chen Loy

    PDF
  • Learning Spatio-Temporal Features With Partial Expression Sequences for On-the-Fly Prediction

    Wissam Baddar, Yong Ro

    PDF
  • Hierarchical Discriminative Learning for Visible Thermal Person Re-Identification

    Mang Ye, Xiangyuan Lan, Jiawei Li, Pong Yuen

    PDF
  • Anti-Makeup: Learning A Bi-Level Adversarial Network for Makeup-Invariant Face Verification

    Yi Li, Lingxiao Song, Xiang Wu, Ran He, Tieniu Tan

    PDF
  • Multi-Scale Face Restoration With Sequential Gating Ensemble Network

    Jianxin Lin, Tiankuang Zhou, Zhibo Chen

    PDF
  • Audio Visual Attribute Discovery for Fine-Grained Object Recognition

    Hua Zhang, Xiaochun Cao, Rui Wang

    PDF
  • Multispectral Transfer Network: Unsupervised Depth Estimation for All-Day Vision

    Namil Kim, Yukyung Choi, Soonmin Hwang, In So Kweon

    PDF
  • Recurrently Aggregating Deep Features for Salient Object Detection

    Xiaowei Hu, Lei Zhu, Jing Qin, Chi-Wing Fu, Pheng-Ann Heng

    PDF
  • Extreme Low Resolution Activity Recognition With Multi-Siamese Embedding Learning

    Michael Ryoo, Kiyoon Kim, Hyun Yang

    PDF
  • Unsupervised Deep Learning of Mid-Level Video Representation for Action Recognition

    Jingyi Hou, Xinxiao Wu, Jin Chen, Jiebo Luo, Yunde Jia

    PDF
  • Spatial as Deep: Spatial CNN for Traffic Scene Understanding

    Xingang Pan, Jianping Shi, Ping Luo, Xiaogang Wang, Xiaoou Tang

    PDF
  • Multi-Rate Gated Recurrent Convolutional Networks for Video-Based Pedestrian Re-Identification

    Zhihui Li, Lina Yao, Feiping Nie, Dingwen Zhang, Min Xu

    PDF
  • Unsupervised Articulated Skeleton Extraction From Point Set Sequences Captured by a Single Depth Camera

    Xuequan Lu, Honghua Chen, Sai-Kit Yeung, Zhigang Deng, Wenzhi Chen

    PDF
  • A Deep Cascade Network for Unaligned Face Attribute Classification

    Hui Ding, Hao Zhou, Shaohua Zhou, Rama Chellappa

    PDF
  • Region-Based Quality Estimation Network for Large-Scale Person Re-Identification

    Guanglu Song, Biao Leng, Yu Liu, Congrui Hetang, Shaofan Cai

    PDF
  • Curve-Structure Segmentation From Depth Maps: A CNN-Based Approach and Its Application to Exploring Cultural Heritage Objects

    Yuhang Lu, Jun Zhou, Jing Wang, Jun Chen, Karen Smith, Colin Wilder, Song Wang

    PDF
  • Robust Collaborative Discriminative Learning for RGB-Infrared Tracking

    Xiangyuan Lan, Mang Ye, Shengping Zhang, Pong Yuen

    PDF
  • Weakly Supervised Salient Object Detection Using Image Labels

    Guanbin Li, Yuan Xie, Liang Lin

    PDF
  • Emphasizing 3D Properties in Recurrent Multi-View Aggregation for 3D Shape Retrieval

    Cheng Xu, Biao Leng, Cheng Zhang, Xiaochen Zhou

    PDF
  • Co-Saliency Detection Within a Single Image

    Hongkai Yu, Kang Zheng, Jianwu Fang, Hao Guo, Wei Feng, Song Wang

    PDF
  • Brute-Force Facial Landmark Analysis With a 140,000-Way Classifier

    Mengtian Li, Laszlo Jeni, Deva Ramanan

    PDF
  • Dictionary Learning Inspired Deep Network for Scene Recognition

    Yang Liu, Qingchao Chen, Wei Chen, Ian Wassell

    PDF
  • Game of Sketches: Deep Recurrent Models of Pictionary-Style Word Guessing

    Ravi Kiran Sarvadevabhatla, Shiv Surya, Trisha Mittal, R. Venkatesh Babu

    PDF
  • Visual Relationship Detection With Deep Structural Ranking

    Kongming Liang, Yuhong Guo, Hong Chang, Xilin Chen

    PDF
  • UnFlow: Unsupervised Learning of Optical Flow With a Bidirectional Census Loss

    Simon Meister, Junhwa Hur, Stefan Roth

    PDF
  • Facial Landmarks Detection by Self-Iterative Regression Based Landmarks-Attention Network

    Tao Hu, Honggang Qi, Jizheng Xu, Qingming Huang

    PDF
  • ExprGAN: Facial Expression Editing With Controllable Expression Intensity

    Hui Ding, Kumar Sricharan, Rama Chellappa

    PDF
  • Learning Efficient Point Cloud Generation for Dense 3D Object Reconstruction

    Chen-Hsuan Lin, Chen Kong, Simon Lucey

    PDF
  • Learning Adaptive Hidden Layers for Mobile Gesture Recognition

    Ting-Kuei Hu, Yen-Yu Lin, Pi-Cheng Hsiu

    PDF
  • Towards Affordable Semantic Searching: Zero-Shot Retrieval via Dominant Attributes

    Yang Long, Li Liu, Yuming Shen, Ling Shao

    PDF
  • Recurrent Attentional Reinforcement Learning for Multi-Label Image Recognition

    Tianshui Chen, Zhouxia Wang, Guanbin Li, Liang Lin

    PDF
  • Learning a Wavelet-Like Auto-Encoder to Accelerate Deep Neural Networks

    Tianshui Chen, Liang Lin, Wangmeng Zuo, Xiaonan Luo, Lei Zhang

    PDF
  • Learning to Guide Decoding for Image Captioning

    Wenhao Jiang, Lin Ma, Xinpeng Chen, Hanwang Zhang, Wei Liu

    PDF
  • Deep Low-Resolution Person Re-Identification

    Jiening Jiao, Wei-Shi Zheng, Ancong Wu, Xiatian Zhu, Shaogang Gong

    PDF
  • PoseHD: Boosting Human Detectors Using Human Pose Information

    Zhijian Liu, Bowen Pan, Yuliang Xiu, Cewu Lu

    PDF
  • FLIC: Fast Linear Iterative Clustering With Active Search

    Jiaxing Zhao, Bo Ren, Qibin Hou, Ming-Ming Cheng, Paul Rosin

    PDF
  • End-to-End United Video Dehazing and Detection

    Boyi Li, Xiulian Peng, Zhangyang Wang, Jizheng Xu, Dan Feng

    PDF
  • Multi-Scale Bidirectional FCN for Object Skeleton Extraction

    Fan Yang, Xin Li, Hong Cheng, Yuxiao Guo, Leiting Chen, Jianping Li

    PDF
  • Self-View Grounding Given a Narrated 360° Video

    Shih-Han Chou, Yi-Chun Chen, Kuo-Hao Zeng, Hou-Ning Hu, Jianlong Fu, Min Sun

    PDF
  • Top-Down Feedback for Crowd Counting Convolutional Neural Network

    Deepak Babu Sam, R. Venkatesh Babu

    PDF
  • Adversarial Discriminative Heterogeneous Face Recognition

    Lingxiao Song, Man Zhang, Xiang Wu, Ran He

    PDF
  • DF2Net: Discriminative Feature Learning and Fusion Network for RGB-D Indoor Scene Classification

    Yabei Li, Junge Zhang, Yanhua Cheng, Kaiqi Huang, Tieniu Tan

    PDF
  • Movie Question Answering: Remembering the Textual Cues for Layered Visual Contents

    Bo Wang, Youjiang Xu, Yahong Han, Richang Hong

    PDF
  • Deep Reinforcement Learning for Unsupervised Video Summarization With Diversity-Representativeness Reward

    Kaiyang Zhou, Yu Qiao, Tao Xiang

    PDF
  • Weakly Supervised Collective Feature Learning From Curated Media

    Yusuke Mukuta, Akisato Kimura, David Adrian, Zoubin Ghahramani

    PDF
  • Scene-Centric Joint Parsing of Cross-View Videos

    Hang Qi, Yuanlu Xu, Tao Yuan, Tianfu Wu, Song-Chun Zhu

    PDF
  • Unsupervised Learning of Geometry From Videos With Edge-Aware Depth-Normal Consistency

    Zhenheng Yang, Peng Wang, Wei Xu, Liang Zhao, Ramakant Nevatia

    PDF
  • RAN4IQA: Restorative Adversarial Nets for No-Reference Image Quality Assessment

    Hongyu Ren, Diqi Chen, Yizhou Wang

    PDF
  • Learning Binary Residual Representations for Domain-Specific Video Streaming

    Yi-Hsuan Tsai, Ming-Yu Liu, Deqing Sun, Ming-Hsuan Yang, Jan Kautz

    PDF
  • HCVRD: A Benchmark for Large-Scale Human-Centered Visual Relationship Detection

    Bohan Zhuang, Qi Wu, Chunhua Shen, Ian Reid, Anton van den Hengel

    PDF
  • Kill Two Birds With One Stone: Weakly-Supervised Neural Network for Image Annotation and Tag Refinement

    Junjie Zhang, Qi Wu, Jian Zhang, Chunhua Shen, Jianfeng Lu

    PDF
  • Auto-Balanced Filter Pruning for Efficient Convolutional Neural Networks

    Xiaohan Ding, Guiguang Ding, Jungong Han, Sheng Tang

    PDF
  • Temporal-Difference Learning With Sampling Baseline for Image Captioning

    Hui Chen, Guiguang Ding, Sicheng Zhao, Jungong Han

    PDF
  • Temporal-Enhanced Convolutional Network for Person Re-Identification

    Yang Wu, Jie Qiu, Jun Takamatsu, Tsukasa Ogasawara

    PDF
  • R-FCN++: Towards Accurate Region-Based Fully Convolutional Networks for Object Detection

    Zeming Li, Yilun Chen, Gang Yu, Yangdong Deng

    PDF
  • Stack-Captioning: Coarse-to-Fine Learning for Image Captioning

    Jiuxiang Gu, Jianfei Cai, Gang Wang, Tsuhan Chen

    PDF
  • Deep Stereo Matching With Explicit Cost Aggregation Sub-Architecture

    Lidong Yu, Yucheng Wang, Yuwei Wu, Yunde Jia

    PDF
  • PixelLink: Detecting Scene Text via Instance Segmentation

    Dan Deng, Haifeng Liu, Xuelong Li, Deng Cai

    PDF
  • Deep Structured Learning for Visual Relationship Detection

    Yaohui Zhu, Shuqiang Jiang

    PDF
  • Residual Encoder Decoder Network and Adaptive Prior for Face Parsing

    Tianchu Guo, Youngsung Kim, Hui Zhang, Deheng Qian, ByungIn Yoo, Jingtao Xu, Dongqing Zou, Jae-Joon Han, Changkyu Choi

    PDF
  • Learning Pose Grammar to Encode Human Body Configuration for 3D Pose Estimation

    Hao-Shu Fang, Yuanlu Xu, Wenguan Wang, Xiaobai Liu, Song-Chun Zhu

    PDF
  • Exploring Human-Like Attention Supervision in Visual Question Answering

    Tingting Qiao, Jianfeng Dong, Duanqing Xu

    PDF
  • Exploring Temporal Preservation Networks for Precise Temporal Action Localization

    Ke Yang, Peng Qiao, Dongsheng Li, Shaohe Lv, Yong Dou

    PDF
  • Hierarchical LSTM for Sign Language Translation

    Dan Guo, Wengang Zhou, Houqiang Li, Meng Wang

    PDF
  • Video Generation From Text

    Yitong Li, Martin Min, Dinghan Shen, David Carlson, Lawrence Carin

    PDF
  • Cross-View Person Identification by Matching Human Poses Estimated With Confidence on Each Body Joint

    Guoqiang Liang, Xuguang Lan, Kang Zheng, Song Wang, Nanning Zheng

    PDF
  • Lateral Inhibition-Inspired Convolutional Neural Network for Visual Attention and Saliency Detection

    Chunshui Cao, Yongzhen Huang, Zilei Wang, Liang Wang, Ninglong Xu, Tieniu Tan

    PDF
  • Learning Coarse-to-Fine Structured Feature Embedding for Vehicle Re-Identification

    Haiyun Guo, Chaoyang Zhao, Zhiwei Liu, Jinqiao Wang, Hanqing Lu

    PDF
  • Co-Attending Free-Form Regions and Detections With Multi-Modal Multiplicative Feature Embedding for Visual Question Answering

    Pan Lu, Hongsheng Li, Wei Zhang, Jianyong Wang, Xiaogang Wang

    PDF
  • Acquiring Common Sense Spatial Knowledge Through Implicit Spatial Templates

    Guillem Collell, Luc Van Gool, Marie-Francine Moens

    PDF
  • Graph Correspondence Transfer for Person Re-Identification

    Qin Zhou, Heng Fan, Shibao Zheng, Hang Su, Xinzhe Li, Shuang Wu, Haibin Ling

    PDF
  • Asking Friendly Strangers: Non-Semantic Attribute Transfer

    Nils Murrugarra-Llerena, Adriana Kovashka

    PDF
  • SEE: Towards Semi-Supervised End-to-End Scene Text Recognition

    Christian Bartz, Haojin Yang, Christoph Meinel

    PDF
  • Adaptive Feature Abstraction for Translating Video to Text

    Yunchen Pu, Martin Min, Zhe Gan, Lawrence Carin

    PDF
  • Deep Semantic Structural Constraints for Zero-Shot Learning

    Yan Li, Zhen Jia, Junge Zhang, Kaiqi Huang, Tieniu Tan

    PDF
  • Char-Net: A Character-Aware Neural Network for Distorted Scene Text Recognition

    Wei Liu, Chaofeng Chen, Kwan-Yee Wong

    PDF
  • Supervised Deep Hashing for Hierarchical Labeled Data

    Dan Wang, Heyan Huang, Chi Lu, Bo-Si Feng, Guihua Wen, Liqiang Nie, Xian-Ling Mao

    PDF
  • Hierarchical Nonlinear Orthogonal Adaptive-Subspace Self-Organizing Map Based Feature Extraction for Human Action Recognition

    Yang Du, Chunfeng Yuan, Bing Li, Weiming Hu, Hao Yang, Zhikang Fu, Lili Zhao

    PDF
  • Self-Reinforced Cascaded Regression for Face Alignment

    Xin Fan, Risheng Liu, Kang Huyan, Yuyao Feng, Zhongxuan Luo

    PDF
  • Transferable Semi-Supervised Semantic Segmentation

    Huaxin Xiao, Yunchao Wei, Yu Liu, Maojun Zhang, Jiashi Feng

    PDF
  • Zero-Shot Learning With Attribute Selection

    Yuchen Guo, Guiguang Ding, Jungong Han, Sheng Tang

    PDF
  • SqueezedText: A Real-Time Scene Text Recognition by Binary Convolutional Encoder-Decoder Network

    Zichuan Liu, Yixing Li, Fengbo Ren, Wang Ling Goh, Hao Yu

    PDF
  • Tracking Occluded Objects and Recovering Incomplete Trajectories by Reasoning About Containment Relations and Human Actions

    Wei Liang, Yixin Zhu, Song-Chun Zhu

    PDF
  • Face Sketch Synthesis From Coarse to Fine

    Mingjin Zhang, Nannan Wang, Yunsong Li, Ruxin Wang, Xinbo Gao

    PDF
  • Learning Adversarial 3D Model Generation With 2D Image Enhancer

    Jing Zhu, Jin Xie, Yi Fang

    PDF
  • Multi-Channel Pyramid Person Matching Network for Person Re-Identification

    Chaojie Mao, Yingming Li, Yaqing Zhang, Zhongfei Zhang, Xi Li

    PDF
  • Asymmetric Joint Learning for Heterogeneous Face Recognition

    Bing Cao, Nannan Wang, Xinbo Gao, Jie Li

    PDF
  • Domain-Shared Group-Sparse Dictionary Learning for Unsupervised Domain Adaptation

    Baoyao Yang, Andy Ma, Pong Yuen

    PDF
  • Order-Free RNN With Visual Attention for Multi-Label Classification

    Shang-Fu Chen, Yi-Chen Chen, Chih-Kuan Yeh, Yu-Chiang Wang

    PDF
  • SAP: Self-Adaptive Proposal Model for Temporal Action Detection Based on Reinforcement Learning

    Jingjia Huang, Nannan Li, Tao Zhang, Ge Li, Tiejun Huang, Wen Gao

    PDF
  • Cooperative Training of Deep Aggregation Networks for RGB-D Action Recognition

    Pichao Wang, Wanqing Li, Jun Wan, Philip Ogunbona, Xinwang Liu

    PDF
  • Unsupervised Part-Based Weighting Aggregation of Deep Convolutional Features for Image Retrieval

    Jian Xu, Cunzhao Shi, Chengzuo Qi, Chunheng Wang, Baihua Xiao

    PDF
  • Action Recognition With Coarse-to-Fine Deep Feature Integration and Asynchronous Fusion

    Weiyao Lin, Chongyang Zhang, Ke Lu, Bin Sheng, Jianxin Wu, Bingbing Ni, Xin Liu, Hongkai Xiong

    PDF

IAAI Technical: Challenge Papers

  • Batting Order Setup in One Day International Cricket

    Masoumeh Izadi, Simranjeet Narula

    PDF
  • AI Challenges in Synthetic Biology Engineering

    Fusun Yaman, Aaron Adler, Jacob Beal

    PDF

Student Abstract Track

  • Adversarial Goal Generation for Intrinsic Motivation

    Ishan Durugkar, Peter Stone

    PDF
  • Influence Maximization for Social Network Based Substance Abuse Prevention

    Aida Rahmattalabi, Anamika Barman Adhikari, Phebe Vayanos, Milind Tambe, Eric Rice, Robin Baker

    PDF
  • Solving Generalized Column Subset Selection With Heuristic Search

    Swair Shah, Baokun He, Ke Xu, Crystal Maung, Haim Schweitzer

    PDF
  • Lifelong Learning Networks: Beyond Single Agent Lifelong Learning

    Mohammad Rostami, Eric Eaton

    PDF
  • Playing SNES Games With NeuroEvolution of Augmenting Topologies

    Son Pham, Keyi Zhang, Tung Phan, Jasper Ding, Christopher Dancy

    PDF
  • Conditional Linear Regression

    Diego Calderon, Brendan Juba, Zongyi Li, Lisa Ruan

    PDF
  • Consonant-Vowel Sequences as Subword Units for Code-Mixed Languages

    Upendra Kumar, Vishal Singh, Chris Andrew, Santhoshini Reddy, Amitava Das

    PDF
  • A Framework for Evaluating Barriers to the Democratization of Artificial Intelligence

    Colin Garvey

    PDF
  • A New Benchmark and Evaluation Schema for Chinese Typo Detection and Correction

    Dingmin Wang, Gabriel Pui Cheong Fung, Maxime Debosschere, Shichao Dong, Jia Zhu, Kam-Fai Wong

    PDF
  • Enhancing RNN Based OCR by Transductive Transfer Learning From Text to Images

    Yang He, Jingling Yuan, Lin Li

    PDF
  • FR-ANet: A Face Recognition Guided Facial Attribute Classification Network

    Jiajiong Cao, Yingming Li, Xi Li, Zhongfei Zhang

    PDF
  • Explainable Cross-Domain Recommendations Through Relational Learning

    Sirawit Sopchoke, Ken-ichi Fukui, Masayuki Numao

    PDF
  • Goal Recognition in Incomplete Domain Models

    Ramon Pereira, Felipe Meneguzzi

    PDF
  • Discriminative Semi-Supervised Feature Selection via Rescaled Least Squares Regression-Supplement

    Guowen Yuan, Xiaojun Chen, Chen Wang, Feiping Nie, Liping Jing

    PDF
  • Generating Image Captions in Arabic Using Root-Word Based Recurrent Neural Networks and Deep Neural Networks

    Vasu Jindal

    PDF
  • Uncovering Scene Context for Predicting Privacy of Online Shared Images

    Ashwini Tonge, Cornelia Caragea, Anna Squicciarini

    PDF
  • Plan-Based Intention Revision

    Adam Amos-Binks, R. Young

    PDF
  • Imitation Upper Confidence Bound for Bandits on a Graph

    Andrei Lupu, Doina Precup

    PDF
  • Adversary Is the Best Teacher: Towards Extremely Compact Neural Networks

    Ameya Prabhu, Harish Krishna, Soham Saha

    PDF
  • Bayesian Optimization Meets Search Based Optimization: A Hybrid Approach for Multi-Fidelity Optimization

    Ellis Hoag, Janardhan Doppa

    PDF
  • Personalized Human Activity Recognition Using Convolutional Neural Networks

    Seyed Ali Rokni, Marjan Nourollahi, Hassan Ghasemzadeh

    PDF
  • Contextual Collaborative Filtering for Student Response Prediction in Mixed-Format Tests

    Shumin Jing, Sheng Li

    PDF
  • Rating Super-Resolution Microscopy Images With Deep Learning

    Louis-Émile Robitaille, Audrey Durand, Marc-André Gardner, Christian Gagné, Paul De Koninck, Flavie Lavoie-Cardinal

    PDF
  • Learning Abduction Under Partial Observability

    Brendan Juba, Zongyi Li, Evan Miller

    PDF
  • Proposition Entailment in Educational Applications Using Deep Neural Networks

    Florin Bulgarov, Rodney Nielsen

    PDF
  • Relating Children’s Automatically Detected Facial Expressions to Their Behavior in RoboTutor

    Mayank Saxena, Rohith Pillai, Jack Mostow

    PDF
  • Constructing Hierarchical Bayesian Networks With Pooling

    Kaneharu Nishino, Mary Inaba

    PDF
  • Exploring the Use of Shatter for AllSAT Through Ramsey-Type Problems

    David Narváez

    PDF
  • Joint Learning of Evolving Links for Dynamic Network Embedding

    Aakas Zhiyuli, Xun Liang, YanFang Chen, Peng Shu, Xiaoping Zhou

    PDF
  • Training Autoencoders in Sparse Domain

    Biswarup Bhattacharya, Arna Ghosh, Somnath Basu Roy Chowdhury

    PDF
  • AdGAP: Advanced Global Average Pooling

    Arna Ghosh, Biswarup Bhattacharya, Somnath Basu Roy Chowdhury

    PDF
  • Selecting Proper Multi-Class SVM Training Methods

    Yawen Chen, Zeyi Wen, Jian Chen, Jin Huang

    PDF
  • Towards Better Variational Encoder-Decoders in Seq2Seq Tasks

    Xiaoyu Shen, Hui Su

    PDF
  • Dialogue Generation With GAN

    Hui Su, Xiaoyu Shen, Pengwei Hu, Wenjie Li, Yun Chen

    PDF
  • Automated Question Answering System for Community-Based Questions

    Chanin Pithyaachariyakul, Anagha Kulkarni

    PDF
  • Comparing Reward Shaping, Visual Hints, and Curriculum Learning

    Rey Pocius, David Isele, Mark Roberts, David Aha

    PDF
  • A Novel Embedding Method for News Diffusion Prediction

    Ruoran Liu, Qiudan Li, Can Wang, Lei Wang, Daniel Zeng

    PDF
  • Path-Based Attention Neural Model for Fine-Grained Entity Typing

    Denghui Zhang, Manling Li, Pengshan Cai, Yantao Jia, Yuanzhuo Wang

    PDF
  • Efficient Support Vector Machine Training Algorithm on GPUs

    Jiashuai Shi, Zeyi Wen, Bingsheng He, Jian Chen

    PDF
  • Preliminary Results on Exploration-Driven Satisfiability Solving

    Md Solimul Chowdhury, Martin Müller, Jia-Huai You

    PDF
  • A Semi-Supervised Network Embedding Model for Protein Complexes Detection

    Wei Zhao, Jia Zhu, Min Yang, Danyang Xiao, Gabriel Pui Cheong Fung, Xiaojun Chen

    PDF
  • Label Space Driven Heterogeneous Transfer Learning With Web Induced Alignment

    Sanatan Sukhija

    PDF
  • Exploring Relevance Judgement Inspired by Quantum Weak Measurement

    Tianshu Wang, Yuexian Hou, Panpan Wang, Xiaolei Niu

    PDF
  • Decision Making Over Combinatorially-Structured Domains

    Andrea Martin, K. Venable

    PDF
  • StackReader: An RNN-Free Reading Comprehension Model

    Yibo Jiang, Zhou Zhao

    PDF
  • Identifying Emotional Support in Online Health Communities

    Hamed Khanpour, Cornelia Caragea, Prakhar Biyani

    PDF
  • Multi-Label Community-Based Question Classification via Personalized Sequence Memory Network Learning

    Xinyu Duan, Shengyu Zhang, Zhou Zhao, Fei Wu, Yueting Zhuang

    PDF
  • A Stratified Feature Ranking Method for Supervised Feature Selection

    Renjie Chen, Xiaojun Chen, Guowen Yuan, Wenya Sun, Qingyao Wu

    PDF
  • Semantic Understanding for Contextual In-Video Advertising

    Rishi Madhok, Shashank Mujumdar, Nitin Gupta, Sameep Mehta

    PDF
  • Skyline Computation for Low-Latency Image-Activated Cell Identification

    Kenichi Koizumi, Kei Hiraki, Mary Inaba

    PDF
  • Variance Reduced K-Means Clustering

    Yawei Zhao, Yuewei Ming, Xinwang Liu, En Zhu, Jianping Yin

    PDF
  • Memory Management With Explicit Time in Resource-Bounded Agents

    Valentina Pitoni

    PDF
  • NuMWVC: A Novel Local Search for Minimum Weighted Vertex Cover Problem

    Ruizhi Li, Shaowei Cai, Shuli Hu, Minghao Yin, Jian Gao

    PDF
  • Fast Approximate Nearest Neighbor Search via k-Diverse Nearest Neighbor Graph

    Yan Xiao, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng

    PDF
  • Balancing Lexicographic Fairness and a Utilitarian Objective With Application to Kidney Exchange

    Duncan McElfresh, John Dickerson

    PDF
  • Towards Neural Speaker Modeling in Multi-Party Conversation: The Task, Dataset, and Models

    Zhao Meng, Lili Mou, Zhi Jin

    PDF
  • Generative Adversarial Network for Abstractive Text Summarization

    Linqing Liu, Yao Lu, Min Yang, Qiang Qu, Jia Zhu, Hongyan Li

    PDF
  • Sentiment Lexicon Enhanced Attention-Based LSTM for Sentiment Classification

    Zeyang Lei, Yujiu Yang, Min Yang

    PDF
  • Learning to Detect Pointing Gestures From Wearable IMUs

    Denis Broggini, Boris Gromov, Alessandro Giusti, Luca Gambardella

    PDF
  • Learning Feature Representations for Keyphrase Extraction

    Corina Florescu, Wei Jin

    PDF
  • Did I Say Something Wrong?: Towards a Safe Collaborative Chatbot

    Merav Chkroun, Amos Azaria

    PDF
  • Generative Adversarial Networks and Probabilistic Graph Models for Hyperspectral Image Classification

    Zilong Zhong, Jonathan Li

    PDF
  • Learning Attention Model From Human for Visuomotor Tasks

    Luxin Zhang, Ruohan Zhang, Zhuode Liu, Mary Hayhoe, Dana Ballard

    PDF
  • Indirect Reciprocity and Costly Assessment in Multiagent Systems

    Fernando Santos, Jorge Pacheco, Francisco Santos

    PDF
  • Negative-Aware Influence Maximization on Social Networks

    Yipeng Chen, Hongyan Li, Qiang Qu

    PDF
  • Deep Embedding for Determining the Number of Clusters

    Yiqi Wang, Zhan Shi, Xifeng Guo, Xinwang Liu, En Zhu, Jianping Yin

    PDF
  • Predicting Depression Severity by Multi-Modal Feature Engineering and Fusion

    Aven Samareh, Yan Jin, Zhangyang Wang, Xiangyu Chang, Shuai Huang

    PDF
  • Different Cycle, Different Assignment: Diversity in Assignment Problems With Multiple Cycles

    Helge Spieker, Arnaud Gotlieb, Morten Mossige

    PDF
  • Dynamic Detection of Communities and Their Evolutions in Temporal Social Networks

    Yaowei Huang, Jinghuan Shang, Bill Lin, Luoyi Fu, Xinbing Wang

    PDF
  • Bayesian Network Structure Learning: The Two-Step Clustering-Based Algorithm

    Yikun Zhang, Jiming Liu, Yang Liu

    PDF
  • Towards Experienced Anomaly Detector Through Reinforcement Learning

    Chengqiang Huang, Yulei Wu, Yuan Zuo, Ke Pei, Geyong Min

    PDF
  • Visual Recognition in Very Low-Quality Settings: Delving Into the Power of Pre-Training

    Bowen Cheng, Ding Liu, Zhangyang Wang, Haichao Zhang, Thomas Huang

    PDF
  • Deep Modeling of Social Relations for Recommendation

    Wenqi Fan, Qing Li, Min Cheng

    PDF

IAAI18 - Deployed

  • SmartHS: An AI Platform for Improving Government Service Provision

    Yongqing Zheng, Han Yu, Lizhen Cui, Chunyan Miao, Cyril Leung, Qiang Yang

    PDF
  • An Automated Employee Timetabling System for Small Businesses

    Richard Hoshino, Aaron Slobodin, William Bernoudy

    PDF
  • Sketch Worksheets in STEM Classrooms: Two Deployments

    Kenneth Forbus, Bridget Garnier, Basil Tikoff, Wayne Marko, Madeline Usher, Matthew McLure

    PDF
  • Secure and Automated Enterprise Revenue Forecasting

    Jocelyn Barker, Amita Gajewar, Konstantin Golyaev, Gagan Bansal, Matt Conners

    PDF
  • Hi, How Can I Help You?: Automating Enterprise IT Support Help Desks

    Senthil Mani, Neelamadhav Gantayat, Rahul Aralikatte, Monika Gupta, Sampath Dechu, Anush Sankaran, Shreya Khare, Barry Mitchell, Hemamalini Subramanian, Hema Venkatarangan

    PDF
  • Horizontal Scaling With a Framework for Providing AI Solutions Within a Game Company

    John Kolen, Mohsen Sardari, Marwan Mattar, Nick Peterson, Meng Wu

    PDF
  • Sentient Ascend: AI-Based Massively Multivariate Conversion Rate Optimization

    Risto Miikkulainen, Neil Iscoe, Aaron Shagrin, Ryan Rapp, Sam Nazari, Patrick McGrath, Cory Schoolland, Elyas Achkar, Myles Brundage, Jeremy Miller, Jonathan Epstein, Gurmeet Lamba

    PDF

IAAI18 - Emerging

  • Upping the Game of Taxi Driving in the Age of Uber

    Shashi Shekhar Jha, Shih-Fen Cheng, Meghna Lowalekar, Nicholas Wong, Rishikeshan Rajendram, Trong Khiem Tran, Pradeep Varakantham, Nghia Truong Trong, Firmansyah Abd Rahman

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  • DarkEmbed: Exploit Prediction With Neural Language Models

    Nazgol Tavabi, Palash Goyal, Mohammed Almukaynizi, Paulo Shakarian, Kristina Lerman

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  • Death vs. Data Science: Predicting End of Life

    Muhammad Ahmad, Carly Eckert, Greg McKelvey, Kiyana Zolfagar, Anam Zahid, Ankur Teredesai

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  • Optimal Pricing for Distance-Based Transit Fares

    Richard Hoshino, Jeneva Beairsto

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  • Bandit-Based Solar Panel Control

    David Abel, Edward Williams, Stephen Brawner, Emily Reif, Michael Littman

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  • SPOT Poachers in Action: Augmenting Conservation Drones With Automatic Detection in Near Real Time

    Elizabeth Bondi, Fei Fang, Mark Hamilton, Debarun Kar, Donnabell Dmello, Jongmoo Choi, Robert Hannaford, Arvind Iyer, Lucas Joppa, Milind Tambe, Ram Nevatia

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  • Multi-Task Deep Learning for Predicting Poverty From Satellite Images

    Shailesh Pandey, Tushar Agarwal, Narayanan C. Krishnan

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  • A Water Demand Prediction Model for Central Indiana

    Setu Shah, Mahmood Hosseini, Zina Ben Miled, Rebecca Shafer, Steve Berube

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  • CRM Sales Prediction Using Continuous Time-Evolving Classification

    Mohamoud Ali, Yugyung Lee

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  • Is a Picture Worth a Thousand Words? A Deep Multi-Modal Architecture for Product Classification in E-Commerce

    Tom Zahavy, Abhinandan Krishnan, Alessandro Magnani, Shie Mannor

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  • Computer-Assisted Authoring for Natural Language Story Scripts

    Rushit Sanghrajka, Wojciech Witoń, Sasha Schriber, Markus Gross, Mubbasir Kapadia

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  • Gesture Annotation With a Visual Search Engine for Multimodal Communication Research

    Sergiy Turchyn, Inés Olza Moreno, Cristóbal Pagán Cánovas, Francis Steen, Mark Turner, Javier Valenzuela, Soumya Ray

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  • Mobile Network Failure Event Detection and Forecasting With Multiple User Activity Data Sets

    Motoyuki Oki, Koh Takeuchi, Yukio Uematsu

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  • TipMaster: A Knowledge Base of Authoritative Local News Sources on Social Media

    Xin Shuai, Xiaomo Liu, Armineh Nourbakhsh, Sameena Shah, Tonya Curtis

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  • Aida: Intelligent Image Analysis to Automatically Detect Poems in Digital Archives of Historic Newspapers

    Leen-Kiat Soh, Elizabeth Lorang, Yi Liu

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  • Assessing National Development Plans for Alignment With Sustainable Development Goals via Semantic Search

    Jonathan Galsurkar, Moninder Singh, Lingfei Wu, Aditya Vempaty, Mikhail Sushkov, Devika Iyer, Serge Kapto, Kush Varshney

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  • Learning to Become an Expert: Deep Networks Applied to Super-Resolution Microscopy

    Louis-Émile Robitaille, Audrey Durand, Marc-André Gardner, Christian Gagné, Paul De Koninck, Flavie Lavoie-Cardinal

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  • Discovering Program Topoi Through Clustering

    Carlo Ieva, Arnaud Gotlieb, Souhila Kaci, Nadjib Lazaar

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  • Deep Mars: CNN Classification of Mars Imagery for the PDS Imaging Atlas

    Kiri Wagstaff, You Lu, Alice Stanboli, Kevin Grimes, Thamme Gowda, Jordan Padams

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  • Investigating the Role of Ensemble Learning in High-Value Wine Identification

    Luigi Portinale, Monica Locatelli

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  • InspireMe: Learning Sequence Models for Stories

    Vincent Fortuin, Romann Weber, Sasha Schriber, Diana Wotruba, Markus Gross

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  • VoC-DL: Revisiting Voice Of Customer Using Deep Learning

    Susheel Suresh, Guru Rajan T S, Vipin Gopinath

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  • Classification of Malware by Using Structural Entropy on Convolutional Neural Networks

    Daniel Gibert, Carles Mateu, Jordi Planes, Ramon Vicens

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  • Novel Exploration Techniques (NETs) for Malaria Policy Interventions

    Oliver Bent, Sekou Remy, Stephen Roberts, Aisha Walcott-Bryant

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  • Adapting to Concept Drift in Credit Card Transaction Data Streams Using Contextual Bandits and Decision Trees

    Dennis Soemers, Tim Brys, Kurt Driessens, Mark Winands, Ann Nowé

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  • Mars Target Encyclopedia: Rock and Soil Composition Extracted From the Literature

    Kiri Wagstaff, Raymond Francis, Thamme Gowda, You Lu, Ellen Riloff, Karanjeet Singh, Nina Lanza

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EAAI18 - Full Papers

  • Predictive Modeling of Learning Continuation in Preschool Education Using Temporal Patterns of Development Tests

    Junpei Naito, Yukino Baba, Hisashi Kashima, Takenori Takaki, Takuya Funo

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  • On the Importance of a Research Data Archive

    Benedict Wright, Oliver Brunner, Bernhard Nebel

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  • Gesturing and Embodiment in Teaching: Investigating the Nonverbal ‎Behavior of Teachers in a Virtual Rehearsal Environment ‎

    Roghayeh Barmaki, Charles Hughes

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  • Investigating Active Learning for Concept Prerequisite Learning

    Chen Liang, Jianbo Ye, Shuting Wang, Bart Pursel, C. Lee Giles

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  • Introducing Ethical Thinking About Autonomous Vehicles Into an AI Course

    Heidi Furey, Fred Martin

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  • An E-Learning Recommender That Helps Learners Find the Right Materials

    Blessing Mbipom, Stewart Massie, Susan Craw

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  • Diagnosing University Student Subject Proficiency and Predicting Degree Completion in Vector Space

    Yuetian Luo, Zachary Pardos

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  • Data Analysis Competition Platform for Educational Purposes: Lessons Learned and Future Challenges

    Yukino Baba, Tomoumi Takase, Kyohei Atarashi, Satoshi Oyama, Hisashi Kashima

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  • Dropout Model Evaluation in MOOCs

    Joshua Gardner, Christopher Brooks

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EAAI18 - Poster Papers

  • A Driving License for Intelligent Systems

    Martin Kandlhofer, Gerald Steinbauer

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  • Introducing Machine Learning Concepts by Training a Neural Network to Recognize Hand Gestures

    Alessandro Giusti, David Huber, Luca Gambardella

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  • Addressing the Technical, Philosophical, and Ethical Issues of Artificial Intelligence Through Active Learning Class Assignments

    Pamela Fink

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  • Mighty Thymio for University-Level Educational Robotics

    Jérôme Guzzi, Alessandro Giusti, Gianni Di Caro, Luca Gambardella

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  • Introducing AI to Undergraduate Students via Computer Vision Projects

    Kaiman Zeng, Yancheng Li, Yida Xu, Di Wu, Nansong Wu

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EAAI18 - Model AI Assignments

  • Model AI Assignments 2018

    Todd Neller, Zack Butler, Nate Derbinsky, Heidi Furey, Fred Martin, Michael Guerzhoy, Ariel Anders, Joshua Eckroth

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Senior Track

  • Imagination Machines: A New Challenge for Artificial Intelligence

    Sridhar Mahadevan

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  • Engineering Pro-Sociality With Autonomous Agents

    Ana Paiva, Fernando Santos, Francisco Santos

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  • Learning Constraints From Examples

    Luc De Raedt, Andrea Passerini, Stefano Teso

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  • AI Meets Chemistry

    Akihiro Kishimoto, Beat Buesser, Adi Botea

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  • A Brief History and Recent Achievements in Bidirectional Search

    Nathan Sturtevant, Ariel Felner

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  • Learning Fast and Slow: Levels of Learning in General Autonomous Intelligent Agents

    John Laird, Shiwali Mohan

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  • Computational Social Choice and Computational Complexity: BFFs?

    Lane Hemaspaandra

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  • Clustering – What Both Theoreticians and Practitioners Are Doing Wrong

    Shai Ben-David

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Demonstrations

  • A Cognitive Assistant for Visualizing and Analyzing Exoplanets

    Jeffrey Kephart, Victor Dibia, Jason Ellis, Biplav Srivastava, Kartik Talamadupula, Mishal Dholakia

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  • Water Advisor – A Data-Driven, Multi-Modal, Contextual Assistant to Help With Water Usage Decisions

    Jason Ellis, Biplav Srivastava, Rachel Bellamy, Andy Aaron

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  • Vertical Domain Text Classification: Towards Understanding IT Tickets Using Deep Neural Networks

    Jianglei Han, Mohammad Akbari

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  • Democratization of Deep Learning Using DARVIZ

    Anush Sankaran, Naveen Panwar, Shreya Khare, Senthil Mani, Akshay Sethi, Rahul Aralikatte, Neelamadhav Gantayat

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  • Lookine: Let the Blind Hear a Smile

    Yaohua Bu, Jia Jia, Yuhan Tang, Xuan Zang, Tianyu Gao

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  • BaitBuster: A Clickbait Identification Framework

    Md Main Uddin Rony, Naeemul Hassan, Mohammad Yousuf

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  • Constructing Domain-Specific Search Engines With No Programming

    Mayank Kejriwal, Pedro Szekely

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  • A Unified Implicit Dialog Framework for Conversational Commerce

    Song Feng, R. Chulaka Gunasekara, Sunil Shashidhara, Kshitij Fadnis, Lazaros Polymenakos

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  • Agent Assist: Automating Enterprise IT Support Help Desks

    Senthil Mani, Neelamadhav Gantayat, Rahul Aralikatte, Monika Gupta, Sampath Dechu, Anush Sankaran, Shreya Khare, Barry Mitchell, Hemamalini Subramanian, Hema Venkatarangan

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  • Learning an Image-based Obstacle Detector With Automatic Acquisition of Training Data

    Stefano Toniolo, Jérôme Guzzi, Luca Gambardella, Alessandro Giusti

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  • Dataset Evolver: An Interactive Feature Engineering Notebook

    Fatemeh Nargesian, Udayan Khurana, Tejaswini Pedapati, Horst Samulowitz, Deepak Turaga

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  • Interactive Machine Learning at Scale With CHISSL

    Dustin Arendt, Emily Grace, Svitlana Volkova

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  • Perception-Action-Learning System for Mobile Social-Service Robots Using Deep Learning

    Beom-Jin Lee, Jinyoung Choi, Chung-Yeon Lee, Kyung-Wha Park, Sungjun Choi, Cheolho Han, Dong-Sig Han, Christina Baek, Patrick Emaase, Byoung-Tak Zhang

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  • MAgent: A Many-Agent Reinforcement Learning Platform for Artificial Collective Intelligence

    Lianmin Zheng, Jiacheng Yang, Han Cai, Ming Zhou, Weinan Zhang, Jun Wang, Yong Yu

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  • PegasusN: A Scalable and Versatile Graph Mining System

    Ha-Myung Park, Chiwan Park, U Kang

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Main Track: Machine Learning Applications

  • Maximum-Variance Total Variation Denoising for Interpretable Spatial Smoothing

    Wesley Tansey, Jesse Thomason, James Scott

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  • The Shape of Art History in the Eyes of the Machine

    Ahmed Elgammal, Bingchen Liu, Diana Kim, Mohamed Elhoseiny, Marian Mazzone

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  • Dress Fashionably: Learn Fashion Collocation With Deep Mixed-Category Metric Learning

    Long Chen, Yuhang He

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  • Unified Locally Linear Classifiers With Diversity-Promoting Anchor Points

    Chenghao Liu, Teng Zhang, Peilin Zhao, Jianling Sun, Steven Hoi

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  • Directional Label Rectification in Adaptive Graph

    Xiaoqian Wang, Hao Huang

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  • Probabilistic Ensemble of Collaborative Filters

    Zhiyu Min, Dahua Lin

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  • Group-Pair Convolutional Neural Networks for Multi-View Based 3D Object Retrieval

    Zan Gao, Deyu Wang, Xiangnan He, Hua Zhang

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  • Model-Free Iterative Temporal Appliance Discovery for Unsupervised Electricity Disaggregation

    Mark Valovage, Akshay Shekhawat, Maria Gini

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  • SFCN-OPI: Detection and Fine-Grained Classification of Nuclei Using Sibling FCN With Objectness Prior Interaction

    Yanning Zhou, Qi Dou, Hao Chen, Jing Qin, Pheng-Ann Heng

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  • Context-Aware Symptom Checking for Disease Diagnosis Using Hierarchical Reinforcement Learning

    Hao-Cheng Kao, Kai-Fu Tang, Edward Chang

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  • Dependence Guided Unsupervised Feature Selection

    Jun Guo, Wenwu Zhu

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  • Video-Based Sign Language Recognition Without Temporal Segmentation

    Jie Huang, Wengang Zhou, Qilin Zhang, Houqiang Li, Weiping Li

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  • Tap and Shoot Segmentation

    Ding-Jie Chen, Jui-Ting Chien, Hwann-Tzong Chen, Long-Wen Chang

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  • The Geometric Block Model

    Sainyam Galhotra, Arya Mazumdar, Soumyabrata Pal, Barna Saha

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  • Parameter-Free Centralized Multi-Task Learning for Characterizing Developmental Sex Differences in Resting State Functional Connectivity

    Xiaofeng Zhu, Hongming Li, Yong Fan

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  • Discriminative Semi-Coupled Projective Dictionary Learning for Low-Resolution Person Re-Identification

    Kai Li, Zhengming Ding, Sheng Li, Yun Fu

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  • Learning Generative Neural Networks for 3D Colorization

    Zhenpei Yang, Lihang Liu, Qixing Huang

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  • Sequence-to-Point Learning With Neural Networks for Non-Intrusive Load Monitoring

    Chaoyun Zhang, Mingjun Zhong, Zongzuo Wang, Nigel Goddard, Charles Sutton

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  • Learning User Preferences to Incentivize Exploration in the Sharing Economy

    Christoph Hirnschall, Adish Singla, Sebastian Tschiatschek, Andreas Krause

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  • DeepRebirth: Accelerating Deep Neural Network Execution on Mobile Devices

    Dawei Li, Xiaolong Wang, Deguang Kong

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  • Differential Performance Debugging With Discriminant Regression Trees

    Saeid Tizpaz-Niari, Pavol Cerny, Bor-Yuh Evan Chang, Ashutosh Trivedi

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  • When Will You Arrive? Estimating Travel Time Based on Deep Neural Networks

    Dong Wang, Junbo Zhang, Wei Cao, Jian Li, Yu Zheng

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  • Nonlocal Patch Based t-SVD for Image Inpainting: Algorithm and Error Analysis

    Liangchen Song, Bo Du, Lefei Zhang, Liangpei Zhang, Jia Wu, Xuelong Li

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  • Modeling Attention and Memory for Auditory Selection in a Cocktail Party Environment

    Jiaming Xu, Jing Shi, Guangcan Liu, Xiuyi Chen, Bo Xu

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  • Modeling Temporal Tonal Relations in Polyphonic Music Through Deep Networks With a Novel Image-Based Representation

    Ching-Hua Chuan, Dorien Herremans

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  • Hierarchical Video Generation From Orthogonal Information: Optical Flow and Texture

    Katsunori Ohnishi, Shohei Yamamoto, Yoshitaka Ushiku, Tatsuya Harada

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  • Modeling Scientific Influence for Research Trending Topic Prediction

    Chengyao Chen, Zhitao Wang, Wenjie Li, Xu Sun

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  • Task-Aware Compressed Sensing With Generative Adversarial Networks

    Maya Kabkab, Pouya Samangouei, Rama Chellappa

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  • Collaborative Filtering With User-Item Co-Autoregressive Models

    Chao Du, Chongxuan Li, Yin Zheng, Jun Zhu, Bo Zhang

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  • Distance-Aware DAG Embedding for Proximity Search on Heterogeneous Graphs

    Zemin Liu, Vincent Zheng, Zhou Zhao, Fanwei Zhu, Kevin Chang, Minghui Wu, Jing Ying

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  • Adversarial Zero-shot Learning With Semantic Augmentation

    Bin Tong, Martin Klinkigt, Junwen Chen, Xiankun Cui, Quan Kong, Tomokazu Murakami, Yoshiyuki Kobayashi

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  • Feature Enhancement Network: A Refined Scene Text Detector

    Sheng Zhang, Yuliang Liu, Lianwen Jin, Canjie Luo

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  • A Combinatorial-Bandit Algorithm for the Online Joint Bid/Budget Optimization of Pay-per-Click Advertising Campaigns

    Alessandro Nuara, Francesco Trovò, Nicola Gatti, Marcello Restelli

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  • AJILE Movement Prediction: Multimodal Deep Learning for Natural Human Neural Recordings and Video

    Nancy Wang, Ali Farhadi, Rajesh Rao, Bingni Brunton

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  • Semi-Supervised Biomedical Translation With Cycle Wasserstein Regression GANs

    Matthew McDermott, Tom Yan, Tristan Naumann, Nathan Hunt, Harini Suresh, Peter Szolovits, Marzyeh Ghassemi

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  • DeepHeart: Semi-Supervised Sequence Learning for Cardiovascular Risk Prediction

    Brandon Ballinger, Johnson Hsieh, Avesh Singh, Nimit Sohoni, Jack Wang, Geoffrey Tison, Gregory Marcus, Jose Sanchez, Carol Maguire, Jeffrey Olgin, Mark Pletcher

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  • Link Prediction With Personalized Social Influence

    Zepeng Huo, Xiao Huang, Xia Hu

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  • Unsupervised Representation Learning With Long-Term Dynamics for Skeleton Based Action Recognition

    Nenggan Zheng, Jun Wen, Risheng Liu, Liangqu Long, Jianhua Dai, Zhefeng Gong

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  • On Trivial Solution and High Correlation Problems in Deep Supervised Hashing

    Yuchen Guo, Xin Zhao, Guiguang Ding, Jungong Han

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  • r-BTN: Cross-Domain Face Composite and Synthesis From Limited Facial Patches

    Yang Song, Zhifei Zhang, Hairong Qi

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  • COSINE: Community-Preserving Social Network Embedding From Information Diffusion Cascades

    Yuan Zhang, Tianshu Lyu, Yan Zhang

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  • Video-Based Person Re-Identification via Self Paced Weighting

    Wenjun Huang, Chao Liang, Yi Yu, Zheng Wang, Weijian Ruan, Ruimin Hu

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  • Predicting Vehicular Travel Times by Modeling Heterogeneous Influences Between Arterial Roads

    Avinash Achar, Venkatesh Sarangan, Rohith Regikumar, Anand Sivasubramaniam

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  • An Adversarial Hierarchical Hidden Markov Model for Human Pose Modeling and Generation

    Rui Zhao, Qiang Ji

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  • Energy-Efficient Automatic Train Driving by Learning Driving Patterns

    Jin Huang, Yue Gao, Sha Lu, Xibin Zhao, Yangdong Deng, Ming Gu

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  • Discriminant Projection Representation-Based Classification for Vision Recognition

    Qingxiang Feng, Yicong Zhou

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  • Learning Datum-Wise Sampling Frequency for Energy-Efficient Human Activity Recognition

    Weihao Cheng, Sarah Erfani, Rui Zhang, Ramamohanarao Kotagiri

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  • Multi-Step Time Series Generator for Molecular Dynamics

    Katsuhiro Endo, Katsufumi Tomobe, Kenji Yasuoka

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  • Exercise-Enhanced Sequential Modeling for Student Performance Prediction

    Yu Su, Qingwen Liu, Qi Liu, Zhenya Huang, Yu Yin, Enhong Chen, Chris Ding, Si Wei, Guoping Hu

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  • Adversarial Network Embedding

    Quanyu Dai, Qiang Li, Jian Tang, Dan Wang

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  • WalkRanker: A Unified Pairwise Ranking Model With Multiple Relations for Item Recommendation

    Lu Yu, Chuxu Zhang, Shichao Pei, Guolei Sun, Xiangliang Zhang

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  • Multi-Level Variational Autoencoder: Learning Disentangled Representations From Grouped Observations

    Diane Bouchacourt, Ryota Tomioka, Sebastian Nowozin

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  • Fully Convolutional Network Based Skeletonization for Handwritten Chinese Characters

    Tie-Qiang Wang, Cheng-Lin Liu

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  • Compressed Sensing MRI Using a Recursive Dilated Network

    Liyan Sun, Zhiwen Fan, Yue Huang, Xinghao Ding, John Paisley

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  • Mesh-Based Autoencoders for Localized Deformation Component Analysis

    Qingyang Tan, Lin Gao, Yu-Kun Lai, Jie Yang, Shihong Xia

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  • A Neural Attention Model for Urban Air Quality Inference: Learning the Weights of Monitoring Stations

    Weiyu Cheng, Yanyan Shen, Yanmin Zhu, Linpeng Huang

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  • GraphGAN: Graph Representation Learning With Generative Adversarial Nets

    Hongwei Wang, Jia Wang, Jialin Wang, Miao Zhao, Weinan Zhang, Fuzheng Zhang, Xing Xie, Minyi Guo

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  • Collaborative Filtering With Social Exposure: A Modular Approach to Social Recommendation

    Menghan Wang, Xiaolin Zheng, Yang Yang, Kun Zhang

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  • Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction

    Huaxiu Yao, Fei Wu, Jintao Ke, Xianfeng Tang, Yitian Jia, Siyu Lu, Pinghua Gong, Jieping Ye, Zhenhui Li

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  • Sequence-to-Sequence Learning via Shared Latent Representation

    Xu Shen, Xinmei Tian, Jun Xing, Yong Rui, Dacheng Tao

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  • Data Poisoning Attacks on Multi-Task Relationship Learning

    Mengchen Zhao, Bo An, Yaodong Yu, Sulin Liu, Sinno Pan

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  • Deep-Treat: Learning Optimal Personalized Treatments From Observational Data Using Neural Networks

    Onur Atan, James Jordon, Mihaela van der Schaar

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  • Compatibility Family Learning for Item Recommendation and Generation

    Yong-Siang Shih, Kai-Yueh Chang, Hsuan-Tien Lin, Min Sun

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  • Hybrid Attentive Answer Selection in CQA With Deep Users Modelling

    Jiahui Wen, Jingwei Ma, Yiliu Feng, Mingyang Zhong

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  • Generating Music Medleys via Playing Music Puzzle Games

    Yu-Siang Huang, Szu-Yu Chou, Yi-Hsuan Yang

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  • DeepHit: A Deep Learning Approach to Survival Analysis With Competing Risks

    Changhee Lee, William Zame, Jinsung Yoon, Mihaela van der Schaar

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  • Search Action Sequence Modeling With Long Short-Term Memory for Search Task Success Evaluation

    Alin Fan, Ling Chen, Gencai Chen

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  • Multimodal Poisson Gamma Belief Network

    Chaojie Wang, Bo Chen, Mingyuan Zhou

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  • Latent Sparse Modeling of Longitudinal Multi-Dimensional Data

    Ko-Shin Chen, Tingyang Xu, Jinbo Bi

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  • Measuring the Popularity of Job Skills in Recruitment Market: A Multi-Criteria Approach

    Tong Xu, Hengshu Zhu, Chen Zhu, Pan Li, Hui Xiong

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  • Multi-Modal Multi-Task Learning for Automatic Dietary Assessment

    Qi Liu, Yue Zhang, Zhenguang Liu, Ye Yuan, Li Cheng, Roger Zimmermann

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  • HARP: Hierarchical Representation Learning for Networks

    Haochen Chen, Bryan Perozzi, Yifan Hu, Steven Skiena

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  • Attention-Based Transactional Context Embedding for Next-Item Recommendation

    Shoujin Wang, Liang Hu, Longbing Cao, Xiaoshui Huang, Defu Lian, Wei Liu

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  • CSWA: Aggregation-Free Spatial-Temporal Community Sensing

    Jiang Bian, Haoyi Xiong, Yanjie Fu, Sajal Das

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  • Neural Ideal Point Estimation Network

    Kyungwoo Song, Wonsung Lee, Il-Chul Moon

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Main Track: NLP and Knowledge Representation

  • Linguistic Properties Matter for Implicit Discourse Relation Recognition: Combining Semantic Interaction, Topic Continuity and Attribution

    Wenqiang Lei, Yuanxin Xiang, Yuwei Wang, Qian Zhong, Meichun Liu, Min-Yen Kan

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  • Effective Broad-Coverage Deep Parsing

    James Allen, Omid Bahkshandeh, William de Beaumont, Lucian Galescu, Choh Man Teng

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  • SPINE: SParse Interpretable Neural Embeddings

    Anant Subramanian, Danish Pruthi, Harsh Jhamtani, Taylor Berg-Kirkpatrick, Eduard Hovy

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  • FEEL: Featured Event Embedding Learning

    I-Ta Lee, Dan Goldwasser

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  • Translating Pro-Drop Languages With Reconstruction Models

    Longyue Wang, Zhaopeng Tu, Shuming Shi, Tong Zhang, Yvette Graham, Qun Liu

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  • Recognizing and Justifying Text Entailment Through Distributional Navigation on Definition Graphs

    Vivian Silva, Siegfried Handschuh, André Freitas

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  • Sequential Copying Networks

    Qingyu Zhou, Nan Yang, Furu Wei, Ming Zhou

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  • Learning Sentiment-Specific Word Embedding via Global Sentiment Representation

    Peng Fu, Zheng Lin, Fengcheng Yuan, Weiping Wang, Dan Meng

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  • Improving Sequence-to-Sequence Constituency Parsing

    Lemao Liu, Muhua Zhu, Shuming Shi

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  • Knowledge Graph Embedding With Iterative Guidance From Soft Rules

    Shu Guo, Quan Wang, Lihong Wang, Bin Wang, Li Guo

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  • Event Detection via Gated Multilingual Attention Mechanism

    Jian Liu, Yubo Chen, Kang Liu, Jun Zhao

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  • 280 Birds With One Stone: Inducing Multilingual Taxonomies From Wikipedia Using Character-Level Classification

    Amit Gupta, Rémi Lebret, Hamza Harkous, Karl Aberer

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  • Never Retreat, Never Retract: Argumentation Analysis for Political Speeches

    Stefano Menini, Elena Cabrio, Sara Tonelli, Serena Villata

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  • AMR Parsing With Cache Transition Systems

    Xiaochang Peng, Daniel Gildea, Giorgio Satta

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  • Augmenting End-to-End Dialogue Systems With Commonsense Knowledge

    Tom Young, Erik Cambria, Iti Chaturvedi, Hao Zhou, Subham Biswas, Minlie Huang

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  • Does William Shakespeare REALLY Write Hamlet? Knowledge Representation Learning With Confidence

    Ruobing Xie, Zhiyuan Liu, Fen Lin, Leyu Lin

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  • Table-to-Text Generation by Structure-Aware Seq2seq Learning

    Tianyu Liu, Kexiang Wang, Lei Sha, Baobao Chang, Zhifang Sui

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  • An Unsupervised Model With Attention Autoencoders for Question Retrieval

    Minghua Zhang, Yunfang Wu

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  • Neural Knowledge Acquisition via Mutual Attention Between Knowledge Graph and Text

    Xu Han, Zhiyuan Liu, Maosong Sun

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  • Deep Semantic Role Labeling With Self-Attention

    Zhixing Tan, Mingxuan Wang, Jun Xie, Yidong Chen, Xiaodong Shi

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  • Multi-Channel Encoder for Neural Machine Translation

    Hao Xiong, Zhongjun He, Xiaoguang Hu, Hua Wu

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  • Early Syntactic Bootstrapping in an Incremental Memory-Limited Word Learner

    Sepideh Sadeghi, Matthias Scheutz

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  • Actionable Email Intent Modeling With Reparametrized RNNs

    Chu-Cheng Lin, Dongyeop Kang, Michael Gamon, Patrick Pantel

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  • Event Representations With Tensor-Based Compositions

    Noah Weber, Niranjan Balasubramanian, Nathanael Chambers

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  • A Semantic QA-Based Approach for Text Summarization Evaluation

    Ping Chen, Fei Wu, Tong Wang, Wei Ding

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  • Syntax-Directed Attention for Neural Machine Translation

    Kehai Chen, Rui Wang, Masao Utiyama, Eiichiro Sumita, Tiejun Zhao

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  • Faithful to the Original: Fact Aware Neural Abstractive Summarization

    Ziqiang Cao, Furu Wei, Wenjie Li, Sujian Li

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Main Track: NLP and Machine Learning

  • Search Engine Guided Neural Machine Translation

    Jiatao Gu, Yong Wang, Kyunghyun Cho, Victor O.K. Li

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  • CoLink: An Unsupervised Framework for User Identity Linkage

    Zexuan Zhong, Yong Cao, Yong Cao, Mu Guo, Mu Guo, Zaiqing Nie, Zaiqing Nie

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  • Spectral Word Embedding with Negative Sampling

    Behrouz Haji Soleimani, Stan Matwin

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  • Neural Machine Translation with Gumbel-Greedy Decoding

    Jiatao Gu, Daniel Jiwoong Im, Victor O.K. Li

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  • Leveraging Lexical Substitutes for Unsupervised Word Sense Induction

    Domagoj Alagić, Jan Šnajder, Sebastian Padó

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  • Learning Better Name Translation for Cross-Lingual Wikification

    Chen-Tse Tsai, Dan Roth

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  • Multi-Task Learning For Parsing The Alexa Meaning Representation Language

    Vittorio Perera, Tagyoung Chung, Thomas Kollar, Emma Strubell

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  • Learning Latent Opinions for Aspect-level Sentiment Classification

    Bailin Wang, Wei Lu

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  • Memory Fusion Network for Multi-view Sequential Learning

    Amir Zadeh, Paul Pu Liang, Navonil Mazumder, Soujanya Poria, Erik Cambria, Louis-Philippe Morency

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  • SciTaiL: A Textual Entailment Dataset from Science Question Answering

    Tushar Khot, Ashish Sabharwal, Peter Clark

    PDF
  • Bayesian Verb Sense Clustering

    Daniel Peterson, Martha Palmer

    PDF
  • Multi-attention Recurrent Network for Human Communication Comprehension

    Amir Zadeh, Paul Pu Liang, Soujanya Poria, Prateek Vij, Erik Cambria, Louis-Philippe Morency

    PDF
  • Lattice Recurrent Unit: Improving Convergence and Statistical Efficiency for Sequence Modeling

    Chaitanya Ahuja, Louis-Philippe Morency

    PDF
  • Learning Interpretable Spatial Operations in a Rich 3D Blocks World

    Yonatan Bisk, Kevin Shih, Yejin Choi, Daniel Marcu

    PDF
  • Knowledge-based Word Sense Disambiguation using Topic Models

    Devendra Singh Chaplot, Ruslan Salakhutdinov

    PDF
  • Customized Nonlinear Bandits for Online Response Selection in Neural Conversation Models

    Bing Liu, Tong Yu, Ian Lane, Ole Mengshoel

    PDF
  • cw2vec: Learning Chinese Word Embeddings with Stroke n-gram Information

    Shaosheng Cao, Wei Lu, Jun Zhou, Xiaolong Li

    PDF
  • Unity in Diversity: Learning Distributed Heterogeneous Sentence Representation for Extractive Summarization

    Abhishek Singh, Manish Gupta, Vasudeva Varma

    PDF
  • Controlling Global Statistics in Recurrent Neural Network Text Generation

    Thanapon Noraset, David Demeter, Doug Downey

    PDF
  • Few Shot Transfer Learning BetweenWord Relatedness and Similarity Tasks Using A Gated Recurrent Siamese Network

    James O' Neill, Paul Buitelaar

    PDF
  • StarSpace: Embed All The Things!

    Ledell Wu, Adam Fisch, Sumit Chopra, Keith Adams, Antoine Bordes, Jason Weston

    PDF
  • Sentence Ordering and Coherence Modeling using Recurrent Neural Networks

    Lajanugen Logeswaran, Honglak Lee, Dragomir Radev

    PDF
  • Jointly Parse and Fragment Ungrammatical Sentences

    Homa B. Hashemi, Rebecca Hwa

    PDF
  • Dual Transfer Learning for Neural Machine Translation with Marginal Distribution Regularization

    Yijun Wang, Yingce Xia, Li Zhao, Jiang Bian, Tao Qin, Guiquan Liu, Tie-Yan Liu

    PDF
  • Slim Embedding Layers for Recurrent Neural Language Models

    Zhongliang Li, Raymond Kulhanek, Shaojun Wang, Yunxin Zhao, Shuang Wu

    PDF
  • How Images Inspire Poems: Generating Classical Chinese Poetry from Images with Memory Networks

    Linli Xu, Liang Jiang, Chuan Qin, Zhe Wang, Dongfang Du

    PDF
  • Neural Character-level Dependency Parsing for Chinese

    Haonan Li, Zhisong Zhang, Yuqi Ju, Hai Zhao

    PDF
  • Persuasive Influence Detection: The Role of Argument Sequencing

    Christopher Hidey, Kathleen McKeown

    PDF
  • Question-Answering with Grammatically-Interpretable Representations

    Hamid Palangi, Paul Smolensky, Xiaodong He, Li Deng

    PDF
  • Attention-based Belief or Disbelief Feature Extraction for Dependency Parsing

    Haoyuan Peng, Lu Liu, Yi Zhou, Junying Zhou, Xiaoqing Zheng

    PDF
  • Empower Sequence Labeling with Task-Aware Neural Language Model

    Liyuan Liu, Jingbo Shang, Xiang Ren, Frank Xu, Huan Gui, Jian Peng, Jiawei Han

    PDF
  • Meta Multi-Task Learning for Sequence Modeling

    Junkun Chen, Xipeng Qiu, Pengfei Liu, Xuanjing Huang

    PDF
  • DeepType: Multilingual Entity Linking by Neural Type System Evolution

    Jonathan Raiman, Olivier Raiman

    PDF
  • Proposition Entailment in Educational Applications using Deep Neural Networks

    Florin Bulgarov, Rodney Nielsen

    PDF
  • Using k-Way Co-Occurrences for Learning Word Embeddings

    Danushka Bollegala, Yuichi Yoshida, Ken-ichi Kawarabayashi

    PDF
  • RNN-Based Sequence-Preserved Attention for Dependency Parsing

    Yi Zhou, Junying Zhou, Lu Liu, Jiangtao Feng, Haoyuan Peng, Xiaoqing Zheng

    PDF
  • Source-Target Inference Models for Spatial Instruction Understanding

    Hao Tan, Mohit Bansal

    PDF
  • Cross Temporal Recurrent Networks for Ranking Question Answer Pairs

    Yi Tay, Luu Anh Tuan, Siu Cheung Hui

    PDF
  • Placing Objects in Gesture Space: Toward Incremental Interpretation of Multimodal Spatial Descriptions

    Ting Han, Casey Kennington, David Schlangen

    PDF
  • Learning to Compose Task-Specific Tree Structures

    Jihun Choi, Kang Min Yoo, Sang-goo Lee

    PDF
  • Zero-Resource Neural Machine Translation with Multi-Agent Communication Game

    Yun Chen, Yang Liu, Victor Li

    PDF
  • A Knowledge-Grounded Neural Conversation Model

    Marjan Ghazvininejad, Chris Brockett, Ming-Wei Chang, Bill Dolan, Jianfeng Gao, Wen-tau Yih, Michel Galley

    PDF
  • Learning to Predict Readability Using Eye-Movement Data From Natives and Learners

    Ana González-Garduño, Anders Søgaard

    PDF
  • End-to-End Quantum-like Language Models with Application to Question Answering

    Peng Zhang, Jiabin Niu, Zhan Su, Benyou Wang, Liqun Ma, Dawei Song

    PDF
  • MathDQN: Solving Arithmetic Word Problems via Deep Reinforcement Learning

    Lei Wang, Dongxiang Zhang, Lianli Gao, Jingkuan Song, Long Guo, Heng Tao Shen

    PDF
  • CoChat: Enabling Bot and Human Collaboration for Task Completion

    Xufang Luo, Zijia Lin, Yunhong Wang, Zaiqing Nie

    PDF
  • Chinese LIWC Lexicon Expansion via Hierarchical Classification of Word Embeddings with Sememe Attention

    Xiangkai Zeng, Cheng Yang, Cunchao Tu, Zhiyuan Liu, Maosong Sun

    PDF
  • Fact Checking in Community Forums

    Tsvetomila Mihaylova, Preslav Nakov, Lluís Màrquez, Alberto Barrón-Cedeño, Mitra Mohtarami, Georgi Karadzhov, James Glass

    PDF
  • Asynchronous Bidirectional Decoding for Neural Machine Translation

    Xiangwen Zhang, Jinsong Su, Yue Qin, Yang Liu, Rongrong Ji, Hongji Wang

    PDF
  • Variational Recurrent Neural Machine Translation

    Jinsong Su, Shan Wu, Deyi Xiong, Yaojie Lu, Xianpei Han, Biao Zhang

    PDF
  • Geometric Relationship between Word and Context Representations

    Jiangtao Feng, Xiaoqing Zheng

    PDF
  • Learning to Extract Coherent Summary via Deep Reinforcement Learning

    Yuxiang Wu, Baotian Hu

    PDF
  • IMS-DTM: Incremental Multi-Scale Dynamic Topic Models

    Xilun Chen, K. Selcuk Candan, Maria Luisa Sapino

    PDF
  • A Multi-View Fusion Neural Network for Answer Selection

    Lei Sha, Xiaodong Zhang, Feng Qian, Baobao Chang, Zhifang Sui

    PDF
  • Incorporating Discriminator in Sentence Generation: a Gibbs Sampling Method

    Jinyue Su, Jiacheng Xu, Xipeng Qiu, Xuanjing Huang

    PDF
  • Deconvolutional Latent-Variable Model for Text Sequence Matching

    Dinghan Shen, Yizhe Zhang, Ricardo Henao, Qinliang Su, Lawrence Carin

    PDF
  • Generalizing and Improving Bilingual Word Embedding Mappings with a Multi-Step Framework of Linear Transformations

    Mikel Artetxe, Gorka Labaka, Eneko Agirre

    PDF
  • Conversational Model Adaptation via KL Divergence Regularization

    Juncen Li, Ping Luo, Fen Lin, Bo Chen

    PDF
  • Elastic Responding Machine for Dialog Generation with Dynamically Mechanism Selecting

    Ganbin Zhou, Ping Luo, Yijun Xiao, Fen Lin, Bo Chen, Qing He

    PDF
  • Eliciting Positive Emotion through Affect-Sensitive Dialogue Response Generation: A Neural Network Approach

    Nurul Lubis, Sakriani Sakti, Koichiro Yoshino, Satoshi Nakamura

    PDF
  • A Deep Generative Framework for Paraphrase Generation

    Ankush Gupta, Arvind Agarwal, Prawaan Singh, Piyush Rai

    PDF
  • Long Text Generation via Adversarial Training with Leaked Information

    Jiaxian Guo, Sidi Lu, Han Cai, Weinan Zhang, Yong Yu, Jun Wang

    PDF
  • Canonical Correlation Inference for Mapping Abstract Scenes to Text

    Nikos Papasarantopoulos, Helen Jiang, Shay Cohen

    PDF
  • Neural Networks Incorporating Dictionaries for Chinese Word Segmentation

    Qi Zhang, Xiaoyu Liu, Jinlan Fu

    PDF
  • Improving Variational Encoder-Decoders in Dialogue Generation

    Xiaoyu Shen, Hui Su, Shuzi Niu, Vera Demberg

    PDF
  • Adaptive Co-attention Network for Named Entity Recognition in Tweets

    Qi Zhang, Jinlan Fu, Xiaoyu Liu, Xuanjing Huang

    PDF
  • Two Knowledge-based Methods for High-Performance Sense Distribution Learning

    Tommaso Pasini, Roberto Navigli

    PDF
  • Automatic Generation of Text Descriptive Comments for Code Blocks

    Yuding Liang, Kenny Zhu

    PDF
  • Neural Cross-Lingual Entity Linking

    Avirup Sil, Gourab Kundu, Radu Florian, Wael Hamza

    PDF
  • Hierarchical Recurrent Attention Network for Response Generation

    Chen Xing, Yu Wu, Wei Wu, Yalou Huang, Ming Zhou

    PDF
  • Guiding Exploratory Behaviors for Multi-Modal Grounding of Linguistic Descriptions

    Jesse Thomason, Jivko Sinapov, Raymond Mooney, Peter Stone

    PDF
  • Improving Language Modelling with Noise Contrastive Estimation

    Farhana Ferdousi Liza, Marek Grzes

    PDF
  • A Neural Transition-Based Approach for Semantic Dependency Graph Parsing

    Yuxuan Wang, Wanxiang Che, Jiang Guo, Ting Liu

    PDF
  • Tree-Structured Neural Machine for Linguistics-Aware Sentence Generation

    Ganbin Zhou, Ping Luo, Rongyu Cao, Yijun Xiao, Fen Lin, Bo Chen, Qing He

    PDF
  • Medical Exam Question Answering with Large-scale Reading Comprehension

    Xiao Zhang, Ji Wu, Zhiyang He, Xien Liu, Ying Su

    PDF
  • An Interpretable Generative Adversarial Approach to Classification of Latent Entity Relations in Unstructured Sentences

    Shiou Tian Hsu, Changsung Moon, Paul Jones, Nagiza Samatova

    PDF
  • Word Attention for Sequence to Sequence Text Understanding

    Lijun Wu, Fei Tian, Li Zhao, Jianhuang Lai, Tie-Yan Liu

    PDF
  • Learning Multi-Modal Word Representation Grounded in Visual Context

    Éloi Zablocki, Benjamin Piwowarski, Laure Soulier, Patrick Gallinari

    PDF
  • Exploring the Terrain of Metaphor Novelty: A Regression-Based Approach for Automatically Scoring Metaphors

    Natalie Parde, Rodney Nielsen

    PDF
  • DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language Understanding

    Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Shirui Pan, Chengqi Zhang

    PDF
  • Semantic Structure-Based Word Embedding by Incorporating Concept Convergence and Word Divergence

    Qian Liu, Heyan Huang, Guangquan Zhang, Yang Gao, Junyu Xuan, Jie Lu

    PDF
  • Neural Response Generation With Dynamic Vocabularies

    Yu Wu, Wei Wu, Dejian Yang, Can Xu, Zhoujun Li

    PDF
  • Table-to-Text: Describing Table Region With Natural Language

    Junwei Bao, Duyu Tang, Nan Duan, Zhao Yan, Yuanhua Lv, Ming Zhou, Tiejun Zhao

    PDF
  • Efficient Large-Scale Multi-Modal Classification

    Douwe Kiela, Edouard Grave, Armand Joulin, Tomas Mikolov

    PDF
  • BBQ-Networks: Efficient Exploration in Deep Reinforcement Learning for Task-Oriented Dialogue Systems

    Zachary Lipton, Xiujun Li, Jianfeng Gao, Lihong Li, Faisal Ahmed, Li Deng

    PDF
  • Order-Planning Neural Text Generation From Structured Data

    Lei Sha, Lili Mou, Tianyu Liu, Pascal Poupart, Sujian Li, Baobao Chang, Zhifang Sui

    PDF
  • Improved Text Matching by Enhancing Mutual Information

    Yang Liu, Wenge Rong, Zhang Xiong

    PDF
  • Knowledge Enhanced Hybrid Neural Network for Text Matching

    Yu Wu, Wei Wu, Can Xu, Zhoujun Li

    PDF
  • Large Scaled Relation Extraction With Reinforcement Learning

    Xiangrong Zeng, Shizhu He, Kang Liu, Jun Zhao

    PDF
  • Generating Sentences Using a Dynamic Canvas

    Harshil Shah, Bowen Zheng, David Barber

    PDF
  • Context Aware Conversational Understanding for Intelligent Agents With a Screen

    Vishal Naik, Angeliki Metallinou, Rahul Goel

    PDF
  • Addressee and Response Selection in Multi-Party Conversations With Speaker Interaction RNNs

    Rui Zhang, Honglak Lee, Lazaros Polymenakos, Dragomir Radev

    PDF
  • Personalizing a Dialogue System With Transfer Reinforcement Learning

    Kaixiang Mo, Yu Zhang, Shuangyin Li, Jiajun Li, Qiang Yang

    PDF

Main Track: NLP and Text Mining

  • R3: Reinforced Ranker-Reader for Open-Domain Question Answering

    Shuohang Wang, Mo Yu, Xiaoxiao Guo, Zhiguo Wang, Tim Klinger, Wei Zhang, Shiyu Chang, Gerry Tesauro, Bowen Zhou, Jing Jiang

    PDF
  • Improving Review Representations With User Attention and Product Attention for Sentiment Classification

    Zhen Wu, Xin-Yu Dai, Cunyan Yin, Shujian Huang, Jiajun Chen

    PDF
  • Hierarchical Attention Transfer Network for Cross-Domain Sentiment Classification

    Zheng Li, Ying Wei, Yu Zhang, Qiang Yang

    PDF
  • Content and Context: Two-Pronged Bootstrapped Learning for Regex-Formatted Entity Extraction

    Stanley Simoes, Deepak P, Munu Sairamesh, Deepak Khemani, Sameep Mehta

    PDF
  • Variational Reasoning for Question Answering With Knowledge Graph

    Yuyu Zhang, Hanjun Dai, Zornitsa Kozareva, Alexander Smola, Le Song

    PDF
  • Multi-Entity Aspect-Based Sentiment Analysis With Context, Entity and Aspect Memory

    Jun Yang, Runqi Yang, Chongjun Wang, Junyuan Xie

    PDF
  • Twitter Summarization Based on Social Network and Sparse Reconstruction

    Ruifang He, Xingyi Duan

    PDF
  • Weakly Supervised Induction of Affective Events by Optimizing Semantic Consistency

    Haibo Ding, Ellen Riloff

    PDF
  • Multi-Task Medical Concept Normalization Using Multi-View Convolutional Neural Network

    Yi Luo, Guojie Song, Pengyu Li, Zhongang Qi

    PDF
  • Towards a Neural Conversation Model With Diversity Net Using Determinantal Point Processes

    Yiping Song, Rui Yan, Yansong Feng, Yaoyuan Zhang, Dongyan Zhao, Ming Zhang

    PDF
  • Reinforcement Learning for Relation Classification From Noisy Data

    Jun Feng, Minlie Huang, Li Zhao, Yang Yang, Xiaoyan Zhu

    PDF
  • Semi-Distantly Supervised Neural Model for Generating Compact Answers to Open-Domain Why Questions

    Ryo Ishida, Kentaro Torisawa, Jong-Hoon Oh, Ryu Iida, Canasai Kruengkrai, Julien Kloetzer

    PDF
  • A Question-Focused Multi-Factor Attention Network for Question Answering

    Souvik Kundu, Hwee Tou Ng

    PDF
  • Task-Specific Representation Learning for Web-Scale Entity Disambiguation

    Rijula Kar, Susmija Reddy, Sourangshu Bhattacharya, Anirban Dasgupta, Soumen Chakrabarti

    PDF
  • Dual Attention Network for Product Compatibility and Function Satisfiability Analysis

    Hu Xu, Sihong Xie, Lei Shu, Philip S. Yu

    PDF
  • Cognition-Cognizant Sentiment Analysis With Multitask Subjectivity Summarization Based on Annotators’ Gaze Behavior

    Abhijit Mishra, Srikanth Tamilselvam, Riddhiman Dasgupta, Seema Nagar, Kuntal Dey

    PDF
  • A Multilayer Convolutional Encoder-Decoder Neural Network for Grammatical Error Correction

    Shamil Chollampatt, Hwee Tou Ng

    PDF
  • Cross-Lingual Propagation for Deep Sentiment Analysis

    Xin Dong, Gerard de Melo

    PDF
  • OTyper: A Neural Architecture for Open Named Entity Typing

    Zheng Yuan, Doug Downey

    PDF
  • Diagnosing and Improving Topic Models by Analyzing Posterior Variability

    Linzi Xing, Michael Paul

    PDF
  • Jointly Extracting Event Triggers and Arguments by Dependency-Bridge RNN and Tensor-Based Argument Interaction

    Lei Sha, Feng Qian, Baobao Chang, Zhifang Sui

    PDF
  • S-Net: From Answer Extraction to Answer Synthesis for Machine Reading Comprehension

    Chuanqi Tan, Furu Wei, Nan Yang, Bowen Du, Weifeng Lv, Ming Zhou

    PDF
  • Duplicate Question Identification by Integrating FrameNet With Neural Networks

    Xiaodong Zhang, Xu Sun, Houfeng Wang

    PDF
  • Generative Adversarial Network Based Heterogeneous Bibliographic Network Representation for Personalized Citation Recommendation

    Xiaoyan Cai, Junwei Han, Libin Yang

    PDF
  • Improving Neural Fine-Grained Entity Typing With Knowledge Attention

    Ji Xin, Yankai Lin, Zhiyuan Liu, Maosong Sun

    PDF
  • Graph Convolutional Networks With Argument-Aware Pooling for Event Detection

    Thien Nguyen, Ralph Grishman

    PDF
  • Hierarchical Attention Flow for Multiple-Choice Reading Comprehension

    Haichao Zhu, Furu Wei, Bing Qin, Ting Liu

    PDF
  • Inference on Syntactic and Semantic Structures for Machine Comprehension

    Chenrui Li, Yuanbin Wu, Man Lan

    PDF
  • SEE: Syntax-Aware Entity Embedding for Neural Relation Extraction

    Zhengqiu He, Wenliang Chen, Zhenghua Li, Meishan Zhang, Wei Zhang, Min Zhang

    PDF
  • Mention and Entity Description Co-Attention for Entity Disambiguation

    Feng Nie, Yunbo Cao, Jinpeng Wang, Chin-Yew Lin, Rong Pan

    PDF
  • Training and Evaluating Improved Dependency-Based Word Embeddings

    Chen Li, Jianxin Li, Yangqiu Song, Ziwei Lin

    PDF
  • SkipFlow: Incorporating Neural Coherence Features for End-to-End Automatic Text Scoring

    Yi Tay, Minh Phan, Luu Anh Tuan, Siu Cheung Hui

    PDF
  • Argument Mining for Improving the Automated Scoring of Persuasive Essays

    Huy Nguyen, Diane Litman

    PDF
  • Learning Structured Representation for Text Classification via Reinforcement Learning

    Tianyang Zhang, Minlie Huang, Li Zhao

    PDF
  • Targeted Aspect-Based Sentiment Analysis via Embedding Commonsense Knowledge into an Attentive LSTM

    Yukun Ma, Haiyun Peng, Erik Cambria

    PDF
  • Learning to Attend via Word-Aspect Associative Fusion for Aspect-Based Sentiment Analysis

    Yi Tay, Luu Anh Tuan, Siu Cheung Hui

    PDF
  • Byte-Level Machine Reading Across Morphologically Varied Languages

    Tom Kenter, Llion Jones, Daniel Hewlett

    PDF
  • Dynamic User Profiling for Streams of Short Texts

    Shangsong Liang

    PDF
  • Assertion-Based QA With Question-Aware Open Information Extraction

    Zhao Yan, Duyu Tang, Nan Duan, Shujie Liu, Wendi Wang, Daxin Jiang, Ming Zhou, Zhoujun Li

    PDF
  • Scale Up Event Extraction Learning via Automatic Training Data Generation

    Ying Zeng, Yansong Feng, Rong Ma, Zheng Wang, Rui Yan, Chongde Shi, Dongyan Zhao

    PDF
  • Learning Multimodal Word Representation via Dynamic Fusion Methods

    Shaonan Wang, Jiajun Zhang, Chengqing Zong

    PDF
  • Investigating Inner Properties of Multimodal Representation and Semantic Compositionality With Brain-Based Componential Semantics

    Shaonan Wang, Jiajun Zhang, Nan Lin, Chengqing Zong

    PDF

Main Track: Planning and Scheduling

  • Semi-Black Box: Rapid Development of Planning Based Solutions

    Michael Katz, Dany Moshkovich, Erez Karpas

    PDF
  • Synthesis of Orchestrations of Transducers for Manufacturing

    Giuseppe De Giacomo, Moshe Vardi, Paolo Felli, Natasha Alechina, Brian Logan

    PDF
  • Planning With Pixels in (Almost) Real Time

    Wilmer Bandres, Blai Bonet, Hector Geffner

    PDF
  • Planning and Learning for Decentralized MDPs With Event Driven Rewards

    Tarun Gupta, Akshat Kumar, Praveen Paruchuri

    PDF
  • Plan Recognition in Continuous Domains

    Gal Kaminka, Mor Vered, Noa Agmon

    PDF
  • Expressive Real-Time Intersection Scheduling

    Rick Goldstein, Stephen Smith

    PDF
  • Risk-Aware Proactive Scheduling via Conditional Value-at-Risk

    Wen Song, Donghun Kang, Jie Zhang, Hui Xi

    PDF
  • Sublinear Search Spaces for Shortest Path Planning in Grid and Road Networks

    Johannes Blum, Stefan Funke, Sabine Storandt

    PDF
  • A Recursive Algorithm to Generate Balanced Weekend Tournaments

    Richard Hoshino

    PDF
  • Classical Planning in Deep Latent Space: Bridging the Subsymbolic-Symbolic Boundary

    Masataro Asai, Alex Fukunaga

    PDF
  • Sensor-Based Activity Recognition via Learning From Distributions

    Hangwei Qian, Sinno Pan, Chunyan Miao

    PDF
  • Finite Sample Analyses for TD(0) With Function Approximation

    Gal Dalal, Balázs Szörényi, Gugan Thoppe, Shie Mannor

    PDF
  • Scheduling in Visual Fog Computing: NP-Completeness and Practical Efficient Solutions

    Hong-Min Chu, Shao-Wen Yang, Padmanabhan Pillai, Yen-Kuang Chen

    PDF
  • Generalized Value Iteration Networks:Life Beyond Lattices

    Sufeng Niu, Siheng Chen, Hanyu Guo, Colin Targonski, Melissa Smith, Jelena Kovačević

    PDF
  • Linear and Integer Programming-Based Heuristics for Cost-Optimal Numeric Planning

    Chiara Piacentini, Margarita Castro, Andre Cire, J. Christopher Beck

    PDF
  • totSAT – Totally-Ordered Hierarchical Planning Through SAT

    Gregor Behnke, Daniel Höller, Susanne Biundo

    PDF
  • Load Scheduling of Simple Temporal Networks Under Dynamic Resource Pricing

    T. K. Satish Kumar, Zhi Wang, Anoop Kumar, Craig Rogers, Craig Knoblock

    PDF
  • Knowledge-Based Policies for Qualitative Decentralized POMDPs

    Abdallah Saffidine, François Schwarzentruber, Bruno Zanuttini

    PDF
  • Resource-Constrained Scheduling for Maritime Traffic Management

    Lucas Agussurja, Akshat Kumar, Hoong Chuin Lau

    PDF
  • Multiagent Simple Temporal Problem: The Arc-Consistency Approach

    Shufeng Kong, Jae Hee Lee, Sanjiang Li

    PDF
  • On the Relationship Between State-Dependent Action Costs and Conditional Effects in Planning

    Robert Mattmüller, Florian Geißer, Benedict Wright, Bernhard Nebel

    PDF
  • Action Schema Networks: Generalised Policies With Deep Learning

    Sam Toyer, Felipe Trevizan, Sylvie Thiébaux, Lexing Xie

    PDF
  • Stackelberg Planning: Towards Effective Leader-Follower State Space Search

    Patrick Speicher, Marcel Steinmetz, Michael Backes, Jörg Hoffmann, Robert Künnemann

    PDF
  • Meta-Search Through the Space of Representations and Heuristics on a Problem by Problem Basis

    Raquel Fuentetaja, Michael Barley, Daniel Borrajo, Jordan Douglas, Santiago Franco, Patricia Riddle

    PDF
  • Fat- and Heavy-Tailed Behavior in Satisficing Planning

    Eldan Cohen, J. Christopher Beck

    PDF
  • Learning Conditional Generative Models for Temporal Point Processes

    Shuai Xiao, Hongteng Xu, Junchi Yan, Mehrdad Farajtabar, Xiaokang Yang, Le Song, Hongyuan Zha

    PDF

Main Track: Search and Constraint Satisfaction

  • Premise Set Caching for Enumerating Minimal Correction Subsets

    Alessandro Previti, Carlos Mencía, Matti Järvisalo, Joao Marques-Silva

    PDF
  • Sweep-Based Propagation for String Constraint Solving

    Roberto Amadini, Graeme Gange, Peter Stuckey

    PDF
  • Exact MAP-Inference by Confining Combinatorial Search With LP Relaxation

    Stefan Haller, Paul Swoboda, Bogdan Savchynskyy

    PDF
  • MaxSAT Resolution With the Dual Rail Encoding

    Maria Luisa Bonet, Sam Buss, Alexey Ignatiev, Joao Marques-Silva, Antonio Morgado

    PDF
  • A SAT+CAS Method for Enumerating Williamson Matrices of Even Order

    Curtis Bright, Ilias Kotsireas, Vijay Ganesh

    PDF
  • On Cryptographic Attacks Using Backdoors for SAT

    Alexander Semenov, Oleg Zaikin, Ilya Otpuschennikov, Stepan Kochemazov, Alexey Ignatiev

    PDF
  • Verifying Properties of Binarized Deep Neural Networks

    Nina Narodytska, Shiva Kasiviswanathan, Leonid Ryzhyk, Mooly Sagiv, Toby Walsh

    PDF
  • Community-Based Trip Sharing for Urban Commuting

    Mohd. Hafiz Hasan, Pascal Van Hentenryck, Ceren Budak, Jiayu Chen, Chhavi Chaudhry

    PDF
  • Towards Generalization in QBF Solving via Machine Learning

    Mikoláš Janota

    PDF
  • Schur Number Five

    Marijn Heule

    PDF
  • Parallel Algorithms for Operations on Multi-Valued Decision Diagrams

    Guillaume Perez, Jean-Charles Régin

    PDF
  • Learning Robust Search Strategies Using a Bandit-Based Approach

    Wei Xia, Roland Yap

    PDF
  • Enhancing Constraint-Based Multi-Objective Combinatorial Optimization

    Miguel Terra-Neves, Inês Lynce, Vasco Manquinho

    PDF

Computational Sustainability and Artificial Intelligence

  • Computation Error Analysis of Block Floating Point Arithmetic Oriented Convolution Neural Network Accelerator Design

    Zhourui Song, Zhenyu Liu, Dongsheng Wang

    PDF
  • Optimal Spot-Checking for Improving Evaluation Accuracy of Peer Grading Systems

    Wanyuan Wang, Bo An, Yichuan Jiang

    PDF
  • Multi-Entity Dependence Learning With Rich Context via Conditional Variational Auto-Encoder

    Luming Tang, Yexiang Xue, Di Chen, Carla Gomes

    PDF
  • DeepUrbanMomentum: An Online Deep-Learning System for Short-Term Urban Mobility Prediction

    Renhe Jiang, Xuan Song, Zipei Fan, Tianqi Xia, Quanjun Chen, Satoshi Miyazawa, Ryosuke Shibasaki

    PDF
  • DyETC: Dynamic Electronic Toll Collection for Traffic Congestion Alleviation

    Haipeng Chen, Bo An, Guni Sharon, Josiah Hanna, Peter Stone, Chunyan Miao, Yeng Soh

    PDF
  • Cellular Network Traffic Scheduling With Deep Reinforcement Learning

    Sandeep Chinchali, Pan Hu, Tianshu Chu, Manu Sharma, Manu Bansal, Rakesh Misra, Marco Pavone, Sachin Katti

    PDF
  • Scalable Relaxations of Sparse Packing Constraints: Optimal Biocontrol in Predator-Prey Networks

    Johan Bjorck, Yiwei Bai, Xiaojian Wu, Yexiang Xue, Mark Whitmore, Carla Gomes

    PDF
  • Variational BOLT: Approximate Learning in Factorial Hidden Markov Models With Application to Energy Disaggregation

    Henning Lange, Mario Berges

    PDF
  • Preventing Infectious Disease in Dynamic Populations Under Uncertainty

    Bryan Wilder, Sze-Chuan Suen, Milind Tambe

    PDF
  • Transferring Decomposed Tensors for Scalable Energy Breakdown Across Regions

    Nipun Batra, Yiling Jia, Hongning Wang, Kamin Whitehouse

    PDF
  • Group Sparse Bayesian Learning for Active Surveillance on Epidemic Dynamics

    Hongbin Pei, Bo Yang, Jiming Liu, Lei Dong

    PDF
  • Predicting Links in Plant-Pollinator Interaction Networks Using Latent Factor Models With Implicit Feedback

    Eugene Seo, Rebecca Hutchinson

    PDF
  • Dispatch Guided Allocation Optimization for Effective Emergency Response

    Supriyo Ghosh, Pradeep Varakantham

    PDF
  • Efficiently Approximating the Pareto Frontier: Hydropower Dam Placement in the Amazon Basin

    Xiaojian Wu, Jonathan Gomes-Selman, Qinru Shi, Yexiang Xue, Roosevelt Garcia-Villacorta, Elizabeth Anderson, Suresh Sethi, Scott Steinschneider, Alexander Flecker, Carla Gomes

    PDF

Doctoral Consortium

  • Building More Explainable Artificial Intelligence With Argumentation

    Zhiwei Zeng, Chunyan Miao, Cyril Leung, Jing Jih Chin

    PDF
  • Complexity of Optimally Defending and Attacking a Network

    Kamran Najeebullah

    PDF
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