url: =The Thirtieth Innovative Applications of Artificial Intelligence Conference\nThe Eighth AAAI Symposium on Educational Advances in Artificial Intelligence.\nNew Orleans, Louisiana USA — February 2–7, 2018\nCopyright © 2018, Association for the Advancement of Artificial Intelligence\n2275 East Bayshore Road, Suite 160 Palo Alto, California 94303\n8,500 pp., illus, references.\nAAAI18 Technical Track: Applications\nAlgorithms for Trip-Vehicle Assignment in Ride-Sharing / 3\nXiaohui Bei, Shengyu Zhang\nEAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples / 10\nPin-Yu Chen, Yash Sharma, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh\nLearning Differences Between Visual Scanning Patterns Can Disambiguate Bipolar and Unipolar Patients / 18\nJonathan Chung, Moshe Eizenman, Uros Rakita, Roger McIntyre, Peter Giacobbe\nComparing Population Means Under Local Differential Privacy: With Significance and Power / 26\nBolin Ding, Harsha Nori, Paul Li, Joshua Allen\nMuseGAN: Multi-Track Sequential Generative Adversarial Networks for Symbolic Music Generation and Accompaniment / 34\nPicasso, Matisse, or a Fake? Automated Analysis of Drawings at the Stroke Level for Attribution and Authentication / 42\nAhmed Elgammal, Yan Kang, Milko Den Leeuw\nBeyond Distributive Fairness in Algorithmic Decision Making: Feature Selection for Procedurally Fair Learning / 51\nNina Grgić-Hlača, Muhammad Bilal Zafar, Krishna P. Gummadi, Adrian Weller\nDistributed Composite Quantization / 61\nWeixiang Hong, Jingjing Meng, Junsong Yuan\nTensorized Projection for High-Dimensional Binary Embedding / 69\nPredicting Aesthetic Score Distribution Through Cumulative Jensen-Shannon Divergence / 77\nNorm Conflict Resolution in Stochastic Domains / 85\nDaniel Kasenberg, Matthias Scheutz\nDeep Representation-Decoupling Neural Networks for Monaural Music Mixture Separation / 93\nZhuo Li, Hongwei Wang, Miao Zhao, Wenjie Li, Minyi Guo\nEarly Prediction of Diabetes Complications from Electronic Health Records: A Multi-Task Survival Analysis Approach / 101\nBin Liu, Ying Li, Zhaonan Sun, Soumya Ghosh, Kenney Ng\nLearning the Joint Representation of Heterogeneous Temporal Events for Clinical Endpoint Prediction / 109\nLuchen Liu, Jianhao Shen, Ming Zhang, Zichang Wang, Jian Tang\nMulti-View Multi-Graph Embedding for Brain Network Clustering Analysis / 117\nUplink Communication Efficient Differentially Private Sparse Optimization with Feature-Wise Distributed Data / 125\nJian Lou, Yiu-ming Cheung\nLearning the Probability of Activation in the Presence of Latent Spreaders / 134\nMaggie Makar, John Guttag, Jenna Wiens\nGenerating an Event Timeline About Daily Activities From a Semantic Concept Stream / 142\nTaiki Miyanishi, Jun-ichiro Hirayama, Takuya Maekawa, Motoaki Kawanabe\nOn Organizing Online Soirees with Live Multi-Streaming / 151\nChih-Ya Shen, C. P. Kankeu Fotsing, De-Nian Yang, Yi-Shin Chen, Wang-Chien Lee\nAn AI Planning Solution to Scenario Generation for Enterprise Risk Management / 160\nShirin Sohrabi, Anton V. Riabov, Michael Katz, Octavian Udrea\nAutomated Segmentation of Overlapping Cytoplasm in Cervical Smear Images via Contour Fragments / 168\nYouyi Song, Jing Qin, Baiying Lei, Kup-Sze Choi\nWhen Social Advertising Meets Viral Marketing: Sequencing Social Advertisements for Influence Maximization / 176\nSynthesis of Programs from Multimodal Datasets / 184\nShantanu Thakoor, Simoni Shah, Ganesh Ramakrishnan, Amitabha Sanyal\nCD-CNN: A Partially Supervised Cross-Domain Deep Learning Model for Urban Resident Recognition / 192\nJingyuan Wang, Xu He, Ze Wang, Junjie Wu, Nicholas Jing Yuan, Xing Xie, Zhang Xiong\nGeographic Differential Privacy for Mobile Crowd Coverage Maximization / 200\nLeye Wang, Gehua Qin, Dingqi Yang, Xiao Han, Xiaojuan Ma\nCatching Captain Jack: Efficient Time and Space Dependent Patrols to Combat Oil-Siphoning in International Waters / 208\nXinrun Wang, Bo An, Martin Strobel, Fookwai Kong\nVideo Summarization via Semantic Attended Networks / 216\nHuawei Wei, Bingbing Ni, Yichao Yan, Huanyu Yu, Xiaokang Yang, Chen Yao\nTIMERS: Error-Bounded SVD Restart on Dynamic Networks / 224\nZiwei Zhang, Peng Cui, Jian Pei, Xiao Wang, Wenwu Zhu\nRanking Users in Social Networks with Higher-Order Structures / 232\nAAAI18 Technical Track: Artificial Intelligence and the Web\nMitigating Overexposure in Viral Marketing / 241\nRediet Abebe, Lada A. Adamic, Jon Kleinberg\nNeural Link Prediction over Aligned Networks / 249\nPrivacy Preserving Point-of-Interest Recommendation Using Decentralized Matrix Factorization / 257\nChaochao Chen, Ziqi Liu, Peilin Zhao, Jun Zhou, Xiaolong Li\nCA-RNN: Using Context-Aligned Recurrent Neural Networks for Modeling Sentence Similarity / 265\nQin Chen, Qinmin Hu, Jimmy Xiangji Huang, Liang He\nDual Deep Neural Networks Cross-Modal Hashing / 274\nZhen-Duo Chen, Wan-Jin Yu, Chuan-Xiang Li, Liqiang Nie, Xin-Shun Xu\nRepresentation Learning for Scale-Free Networks / 282\nRui Feng, Yang Yang, Wenjie Hu, Fei Wu, Yueting Zhang\nVSE-ens: Visual-Semantic Embeddings with Efficient Negative Sampling / 290\nPartial Multi-View Outlier Detection Based on Collective Learning / 298\nJun Guo, Wenwu Zhu\nA Network-Specific Markov Random Field Approach to Community Detection / 306\nDongxiao He, Xinxin You, Zhiyong Feng, Di Jin, Xue Yang, Weixiong Zhang\nRobust Detection of Link Communities in Large Social Networks by Exploiting Link Semantics / 314\nDi Jin, Xiaobao Wang, Ruifang He, Dongxiao He, Jianwu Dang, Weixiong Zhang\nOn Validation and Predictability of Digital Badges’ Influence on Individual Users / 322\nTomasz Kuśmierczyk, Kjetil Nørvåg\nFILE: A Novel Framework for Predicting Social Status in Signed Networks / 330\nXiaoming Li, Hui Fang, Jie Zhang\nCommunity Detection in Attributed Graphs: An Embedding Approach / 338\nYe Li, Chaofeng Sha, Xin Huang, Yanchun Zhang\nSocial Recommendation with an Essential Preference Space / 346\nChun-Yi Liu, Chuan Zhou, Jia Wu, Yue Hu, Li Guo\nEarly Detection of Fake News on Social Media Through Propagation Path Classification with Recurrent and Convolutional Networks / 354\nYang Liu, Yi-Fang Brook Wu\nCross-Lingual Entity Linking for Web Tables / 362\nXusheng Luo, Kangqi Luo, Xianyang Chen, Kenny Q. Zhu\nDepthLGP: Learning Embeddings of Out-of-Sample Nodes in Dynamic Networks / 370\nJianxin Ma, Peng Cui, Wenwu Zhu\nListening to the World Improves Speech Command Recognition / 378\nBrian McMahan, Delip Rao\nLocation-Sensitive User Profiling Using Crowdsourced Labels / 386\nWei Niu, James Caverlee, Haokai Lu\nBinary Generative Adversarial Networks for Image Retrieval / 394\nJingkuan Song, Tao He, Lianli Gao, Xing Xu, Alan Hanjalic, Heng Tao Shen\nDeep Region Hashing for Generic Instance Search from Images / 402\nJingkuan Song, Tao He, Lianli Gao, Xing Xu, Heng Tao Shen\nImproved English to Russian Translation by Neural Suffix Prediction / 410\nKai Song, Yue Zhang, Min Zhang, Weihua Luo\nTowards Efficient Detection of Overlapping Communities in Massive Networks / 418\nBing-Jie Sun, Huawei Shen, Jinhua Gao, Wentao Ouyang, Xueqi Cheng\nStructural Deep Embedding for Hyper-Networks / 426\nKe Tu, Peng Cui, Xiao Wang, Fei Wang, Wenwu Zhu\nConfidence-Aware Matrix Factorization for Recommender Systems / 434\nChao Wang, Qi Liu, Runze Wu, Enhong Chen, Chuanren Liu, Xunpeng Huang, Zhenya Huang\nDeep Asymmetric Transfer Network for Unbalanced Domain Adaptation / 443\nA Multi-Task Learning Approach for Improving Product Title Compression with User Search Log Data / 451\nJingang Wang, Junfeng Tian, Long Qiu, Sheng Li, Jun Lang, Luo Si, Man Lan\nPersonalized Time-Aware Tag Recommendation / 459\nKeqiang Wang, Yuanyuan Jin, Haofen Wang, Hongwei Peng, Xiaoling Wang\nTelepath: Understanding Users from a Human Vision Perspective in Large-Scale Recommender Systems / 467\nRSDNE: Exploring Relaxed Similarity and Dissimilarity from Completely-Imbalanced Labels for Network Embedding / 475\nZheng Wang, Xiaojun Ye, Chaokun Wang, Yuexin Wu, Changping Wang, Kaiwen Liang\nContrastive Training for Models of Information Cascades / 483\nShaobin Xu, David A. Smith\nRetrieving and Classifying Affective Images via Deep Metric Learning / 491\nJufeng Yang, Dongyu She, Yu-Kun Lai, Ming-Hsuan Yang\nMulti-Facet Network Embedding: Beyond the General Solution of Detection and Representation / 499\nLiang Yang, Yuanfang Guo, Xiaochun Cao\nUrban Dreams of Migrants: A Case Study of Migrant Integration in Shanghai / 507\nYang Yang, Chenhao Tan, Zongtao Liu, Fei Wu, Yueting Zhuang\nFrom Common to Special: When Multi-Attribute Learning Meets Personalized Opinions / 515\nZhiyong Yang, Qianqian Xu, Xiaochun Cao, Qingming Huang\nDiscovering and Distinguishing Multiple Visual Senses for Polysemous Words / 523\nYazhou Yao, Jian Zhang, Fumin Shen, Wankou Yang, Pu Huang, Zhenmin Tang\nSpatiotemporal Activity Modeling Under Data Scarcity: A Graph-Regularized Cross-Modal Embedding Approach / 531\nChao Zhang, Mengxiong Liu, Zhengchao Liu, Carl Yang, Luming Zhang, Jiawei Han\nUnsupervised Generative Adversarial Cross-Modal Hashing / 539\nExploring Implicit Feedback for Open Domain Conversation Generation / 547\nWei-Nan Zhang, Lingzhi Li, Dongyan Cao, Ting Liu\nJoint Training for Neural Machine Translation Models with Monolingual Data / 555\nAttention-via-Attention Neural Machine Translation / 563\nShenjian Zhao, Zhihua Zhang\nDynamic Network Embedding by Modeling Triadic Closure Process / 571\nLekui Zhou, Yang Yang, Xiang Ren, Fei Wu, Yueting Zhuang\nInferring Emotion from Conversational Voice Data: A Semi-Supervised Multi-Path Generative Neural Network Approach / 579\nSuping Zhou, Jia Jia, Qi Wang, Yufei Dong, Yufeng Yin, Kehua Lei\nAAAI18 Technical Track: Cognitive Modeling\nLearning Nonlinear Dynamics in Efficient, Balanced Spiking Networks Using Local Plasticity Rules / 588\nAlireza Alemi, Christian K. Machens, Sophie Deneve, Jean-Jacques Slotine\nPerceiving, Learning, and Recognizing 3D Objects: An Approach to Cognitive Service Robots / 596\nS. Hamidreza Kasaei, Juil Sock, Luis Seabra Lopes, Ana Maria Tome, Tae-Kyun Kim\nA Unified Model for Document-Based Question Answering Based on Human-Like Reading Strategy / 604\nWeikang Li, Wei Li, Yunfang Wu\nThinking in PolAR Pictures: Using Rotation-Friendly Mental Images to Solve Leiter-R Form Completion / 612\nJoshua H. Palmer, Maithilee Kunda\nA Plasticity-Centric Approach to Train the Non-Differential Spiking Neural Networks / 620\nTielin Zhang, Yi Zeng, Dongcheng Zhao, Mengting Shi\nAAAI18 Technical Track: Cognitive Systems\nExplicit Reasoning over End-to-End Neural Architectures for Visual Question Answering / 629\nSomak Aditya, Yezhou Yang, Chitta Baral\nAction Recognition From Skeleton Data via Analogical Generalization Over Qualitative Representations / 638\nKezhen Chen, Kenneth Forbus\nGlass-Box Program Synthesis: A Machine Learning Approach / 646\nKonstantina Christakopoulou, Adam Tauman Kalai\nLearning From Unannotated QA Pairs to Analogically Disambiguate and Answer Questions / 654\nMaxwell Crouse, Clifton McFate, Kenneth Forbus\nStyle Transfer in Text: Exploration and Evaluation / 663\nZhenxin Fu, Xiaoye Tan, Nanyun Peng, Dongyan Zhao, Rui Yan\nHAN: Hierarchical Association Network for Computing Semantic Relatedness / 671\nXiaolong Gong, Hao Xu, Linpeng Huang\nMaximizing Activity in Ising Networks via the TAP Approximation / 679\nChristopher W. Lynn, Daniel D. Lee\nExpected Utility with Relative Loss Reduction: A Unifying Decision Model for Resolving Four Well-Known Paradoxes / 687\nWenjun Ma, Yuncheng Jiang, Weiru Liu, Xudong Luo, Kevin McAreavey\nTowards Building Large Scale Multimodal Domain-Aware Conversation Systems / 696\nAmrita Saha, Mitesh M. Khapra, Karthik Sankaranarayanan\nComplex Sequential Question Answering: Towards Learning to Converse Over Linked Question Answer Pairs with a Knowledge Graph / 705\nAmrita Saha, Vardaan Pahuja, Mitesh M. Khapra, Karthik Sankaranarayanan, Sarath Chandar\nThe Structural Affinity Method for Solving the Raven's Progressive Matrices Test for Intelligence / 714\nRUBER: An Unsupervised Method for Automatic Evaluation of Open-Domain Dialog Systems / 722\nChongyang Tao, Lili Mou, Dongyan Zhao, Rui Yan\nEmotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory / 730\nHao Zhou, Minlie Huang, Tianyang Zhang, Xiaoyan Zhu, Bing Liu\nAAAI18 Technical Track: Computational Sustainability and AI\nTransferring Decomposed Tensors for Scalable Energy Breakdown Across Regions / 740\nNipun Batra, Yiling Jia, Hongning Wang, Kamin Whitehouse\nScalable Relaxations of Sparse Packing Constraints: Optimal Biocontrol in Predator-Prey Networks / 748\nJohan Bjorck, Yiwei Bai, Xiaojian Wu, Yexiang Xue, Mark Whitmore, Carla Gomes\nDyETC: Dynamic Electronic Toll Collection for Traffic Congestion Alleviation / 757\nHaipeng Chen, Bo An, Guni Sharon, Josiah P. Hanna, Peter Stone, Chunyan Miao, Yeng Chai Soh\nCellular Network Traffic Scheduling with Deep Reinforcement Learning / 766\nSandeep Chinchali, Pan Hu, Tianshu Chu, Manu Sharma, Manu Bansal, Rakesh Misra, Marco Pavone, Sachin Katti\nDispatch Guided Allocation Optimization for Effective Emergency Response / 775\nSupriyo Ghosh, Pradeep Varakantham\nDeepUrbanMomentum: An Online Deep-Learning System for Short-Term Urban Mobility Prediction / 784\nRenhe Jiang, Xuan Song, Zipei Fan, Tianqi Xia, Quanjun Chen, Satoshi Miyazawa, Ryosuke Shibasaki\nVariational BOLT: Approximate Learning in Factorial Hidden Markov Models with Application to Energy Disaggregation / 792\nHenning Lange, Mario Berges\nGroup Sparse Bayesian Learning for Active Surveillance on Epidemic Dynamics / 800\nPredicting Links in Plant-Pollinator Interaction Networks Using Latent Factor Models with Implicit Feedback / 808\nEugene Seo, Rebecca A. Hutchinson\nComputation Error Analysis of Block Floating Point Arithmetic Oriented Convolution Neural Network Accelerator Design / 816\nZhourui Song, Zhenyu Liu, Dongsheng Wang\nMulti-Entity Dependence Learning with Rich Context via Conditional Variational Auto-Encoder / 824\nLuming Tang, Yexiang Xue, Di Chen, Carla P. Gomes\nOptimal Spot-Checking for Improving Evaluation Accuracy of Peer Grading Systems / 833\nWanyuan Wang, Bo An, Yichuan Jiang\nPreventing Infectious Disease in Dynamic Populations Under Uncertainty / 841\nBryan Wilder, Sze-Chuan Suen, Milind Tambe\nEfficiently Approximating the Pareto Frontier: Hydropower Dam Placement in the Amazon Basin / 849\nXiaojian Wu, Jonathan Gomes-Selman, Qinru Shi, Yexiang Xue, Roosevelt Garcia-Villacorta, Elizabeth Anderson, Suresh Sethi, Scott Steinschneider, Alexander Flecker, Carla Gomes\nAAAI18 Technical Track: Game Playing and Interactive Entertainment\nMinesweeper with Limited Moves / 860\nSerge Gaspers, Stefan Rümmele, Abdallah Saffidine, Kevin Tran\nEvent Representations for Automated Story Generation with Deep Neural Nets / 868\nAsymmetric Action Abstractions for Multi-Unit Control in Adversarial Real-Time Games / 876\nRubens O. Moraes, Levi H. S. Lelis\nPVL: A Framework for Navigating the Precision-Variety Trade-Off in Automated Animation of Smiles / 884\nNicholas Sohre, Moses Adeagbo, Nathaniel Helwig, Sofia Lyford-Pike, Stephen J. Guy\nAAAI18 Technical Track: Game Theory and Economic Paradigms\nUtilitarians without Utilities: Maximizing Social Welfare for Graph Problems Using Only Ordinal Preferences / 894\nBen Abramowitz, Elliot Anshelevich\nOn the Complexity of Extended and Proportional Justified Representation / 902\nHaris Aziz, Edith Elkind, Shenwei Huang, Martin Lackner, Luis Sanchez-Fernandez, Piotr Skowron\nRank Maximal Equal Contribution: A Probabilistic Social Choice Function / 910\nGroupwise Maximin Fair Allocation of Indivisible Goods / 917\nSiddharth Barman, Arpita Biswas, Sanath Kumar Krishnamurthy, Yadati Narahari\nTruthful and Near-Optimal Mechanisms for Welfare Maximization in Multi-Winner Elections / 925\nUmang Bhaskar, Varsha Dani, Abheek Ghosh\nMultiwinner Elections with Diversity Constraints / 933\nRobert Bredereck, Piotr Faliszewski, Ayumi Igarashi, Martin Lackner, Piotr Skowron\nA Bayesian Clearing Mechanism for Combinatorial Auctions / 941\nGianluca Brero, Sébastien Lahaie\nAIVAT: A New Variance Reduction Technique for Agent Evaluation in Imperfect Information Games / 949\nNeil Burch, Martin Schmid, Matej Moravcik, Dustin Morill, Michael Bowling\nReinforcement Mechanism Design for Fraudulent Behaviour in e-Commerce / 957\nQingpeng Cai, Aris Filos-Ratsikas, Pingzhong Tang, Yiwei Zhang\nComputational Results for Extensive-Form Adversarial Team Games / 965\nAndrea Celli, Nicola Gatti\nOn the Distortion of Voting with Multiple Representative Candidates / 973\nYu Cheng, Shaddin Dughmi, David Kempe\nDisarmament Games with Resource / 981\nYuan Deng, Vincent Conitzer\nComputing the Strategy to Commit to in Polymatrix Games / 989\nResource Allocation Polytope Games: Uniqueness of Equilibrium, Price of Stability, and Price of Anarchy / 997\nSwapnil Dhamal, Walid Ben-Ameur, Tijani Chahed, Eitan Altman\nAllocation Problems in Ride-Sharing Platforms: Online Matching with Offline Reusable Resources / 1007\nJohn P. Dickerson, Karthik A. Sankararaman, Aravind Srinivasan, Pan Xu\nTool Auctions / 1015\nJanosch Döcker, Britta Dorn, Ulle Endriss, Ronald de Haan, Sebastian Schneckenburger\nEffective Heuristics for Committee Scoring Rules / 1023\nPiotr Faliszewski, Martin Lackner, Dominik Peters, Nimrod Talmon\nOn Social Envy-Freeness in Multi-Unit Markets / 1031\nMichele Flammini, Manuel Mauro, Matteo Tonelli\nFacility Location Games with Fractional Preferences / 1039\nChi Kit Ken Fong, Minming Li, Pinyan Lu, Taiki Todo, Makoto Yokoo\nThe Complexity of Bribery in Network-Based Rating Systems / 1047\nWeighted Voting Via No-Regret Learning / 1055\nCooperative Games with Bounded Dependency Degree / 1063\nAyumi Igarashi, Rani Izsak, Edith Elkind\nCommittee Selection with Intraclass and Interclass Synergies / 1071\nRani Izsak, Nimrod Talmon, Gerhard J. Woeginger\nOn Recognising Nearly Single-Crossing Preferences / 1079\nFlorian Jaeckle, Dominik Peters, Edith Elkind\nRanking Wily People Who Rank Each Other / 1087\nLiquid Democracy: An Algorithmic Perspective / 1095\nAnson Kahng, Simon Mackenzie, Ariel D. Procaccia\nPolicy Learning for Continuous Space Security Games Using Neural Networks / 1103\nNitin Kamra, Umang Gupta, Fei Fang, Yan Liu, Milind Tambe\nApproximately Stable Matchings with Budget Constraints / 1113\nYasushi Kawase, Atsushi Iwasaki\nApproximating Bribery in Scoring Rules / 1121\nOrgad Keller, Avinatan Hassidim, Noam Hazon\nRobust Stackelberg Equilibria in Extensive-Form Games and Extension to Limited Lookahead / 1130\nChristian Kroer, Gabriele Farina, Tuomas Sandholm\nThe Conference Paper Assignment Problem: Using Order Weighted Averages to Assign Indivisible Goods / 1138\nIncentivizing High Quality User Contributions: New Arm Generation in Bandit Learning / 1146\nYang Liu, Chien-Ju Ho\nOn the Approximation of Nash Equilibria in Sparse Win-Lose Games / 1154\nZhengyang Liu, Ying Sheng\nBalancing Lexicographic Fairness and a Utilitarian Objective with Application to Kidney Exchange / 1161\nSingle-Peakedness and Total Unimodularity: New Polynomial-Time Algorithms for Multi-Winner Elections / 1169\nFair Rent Division on a Budget / 1177\nAriel D. Procaccia, Rodrigo A. Velez, Dingli Yu\nApproximation-Variance Tradeoffs in Facility Location Games / 1185\nAriel D. Procaccia, David Wajc, Hanrui Zhang\nMUDA: A Truthful Multi-Unit Double-Auction Mechanism / 1193\nTraffic Optimization for a Mixture of Self-Interested and Compliant Agents / 1202\nGuni Sharon, Michael Albert, Tarun Rambha, Stephen Boyles, Peter Stone\nCoalition Manipulation of Gale-Shapley Algorithm / 1210\nWeiran Shen, Pingzhong Tang, Yuan Deng\nAxioms for Distance-Based Centralities / 1218\nOskar Skibski, Jadwiga Sosnowska\nNon-Exploitable Protocols for Repeated Cake Cutting / 1226\nOmer Tamuz, Shai Vardi, Juba Ziani\nModelling Iterative Judgment Aggregation / 1234\nZoi Terzopoulou, Ulle Endriss\nRich Coalitional Resource Games / 1242\nIt Takes (Only) Two: Adversarial Generator-Encoder Networks / 1250\nAn Axiomatization of the Eigenvector and Katz Centralities / 1258\nTomasz Wąs, Oskar Skibski\nA Regression Approach for Modeling Games with Many Symmetric Players / 1266\nBryce Wiedenbeck, Fengjun Yang, Michael P. Wellman\nEquilibrium Computation and Robust Optimization in Zero Sum Games with Submodular Structure / 1274\nIncentive-Compatible Forecasting Competitions / 1282\nJens Witkowski, Rupert Freeman, Jennifer Wortman Vaughan, David M. Pennock, Andreas Krause\nStrategic Coordination of Human Patrollers and Mobile Sensors with Signaling for Security Games / 1290\nHaifeng Xu, Kai Wang, Phebe Vayanos, Milind Tambe\nAverage-Case Approximation Ratio of Scheduling without Payments / 1298\nAAAI18 Technical Track: Heuristic Search and Optimization\nAvoiding Dead Ends in Real-Time Heuristic Search / 1306\nBence Cserna, William J. Doyle, Jordan S. Ramsdell, Wheeler Ruml\nEfficiently Monitoring Small Data Modification Effect for Large-Scale Learning in Changing Environment / 1314\nHiroyuki Hanada, Atsushi Shibagaki, Jun Sakuma, Ichiro Takeuchi\nA Recursive Scenario Decomposition Algorithm for Combinatorial Multistage Stochastic Optimisation Problems / 1322\nLocality Preserving Projection Based on F-norm / 1330\nXiangjie Hu, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin\nA Two-Stage MaxSAT Reasoning Approach for the Maximum Weight Clique Problem / 1338\nHua Jiang, Chu-Min Li, Yanli Liu, Felip Manyà\nRevisiting Immediate Duplicate Detection in External Memory Search / 1347\nShunji Lin, Alex Fukunaga\nWarmstarting of Model-Based Algorithm Configuration / 1355\nMarius Lindauer, Frank Hutter\nOn the Time and Space Complexity of Genetic Programming for Evolving Boolean Conjunctions / 1363\nAndrei Lissovoi, Pietro S. Oliveto\nProximal Alternating Direction Network: A Globally Converged Deep Unrolling Framework / 1371\nRisheng Liu, Xin Fan, Shichao Cheng, Xiangyu Wang, Zhongxuan Luo\nStreaming Non-Monotone Submodular Maximization: Personalized Video Summarization on the Fly / 1379\nBaharan Mirzasoleiman, Stefanie Jegelka, Andreas Krause\nExact Clustering via Integer Programming and Maximum Satisfiability / 1387\nAtsushi Miyauchi, Tomohiro Sonobe, Noriyoshi Sukegawa\nOn Multiset Selection with Size Constraints / 1395\nChao Qian, Yibo Zhang, Ke Tang, Xin Yao\nDisjunctive Program Synthesis: A Robust Approach to Programming by Example / 1403\nMohammad Raza, Sumit Gulwani\nAccelerated Best-First Search with Upper-Bound Computation for Submodular Function Maximization / 1413\nShinsaku Sakaue, Masakazu Ishihata\nSubmodular Function Maximization Over Graphs via Zero-Suppressed Binary Decision Diagrams / 1422\nShinsaku Sakaue, Masaaki Nishino, Norihito Yasuda\nCounting Linear Extensions in Practice: MCMC Versus Exponential Monte Carlo / 1431\nTopi Talvitie, Kustaa Kangas, Teppo Niinimäki, Mikko Koivisto\nLarge Scale Constrained Linear Regression Revisited: Faster Algorithms via Preconditioning / 1439\nNoisy Derivative-Free Optimization with Value Suppression / 1447\nHong Wang, Hong Qian, Yang Yu\nMemory-Augmented Monte Carlo Tree Search / 1455\nChenjun Xiao, Jincheng Mei, Martin Müller\nAAAI18 Technical Track: Human-AI Collaboration\nA Coverage-Based Utility Model for Identifying Unknown Unknowns / 1463\nGagan Bansal, Daniel S. Weld\nToward Deep Reinforcement Learning without a Simulator: An Autonomous Steering Example / 1471\nBar Hilleli, Ran El-Yaniv\nAn Interactive Multi-Label Consensus Labeling Model for Multiple Labeler Judgments / 1479\nInteractively Learning a Blend of Goal-Based and Procedural Tasks / 1487\nAaron Mininger, John E. Laird\nEmergence of Grounded Compositional Language in Multi-Agent Populations / 1495\nIgor Mordatch, Pieter Abbeel\nHuman-in-the-Loop SLAM / 1503\nSamer B. Nashed, Joydeep Biswas\nAn Interpretable Joint Graphical Model for Fact-Checking From Crowds / 1511\nAn T. Nguyen, Aditya Kharosekar, Matthew Lease, Byron Wallace\nHow AI Wins Friends and Influences People in Repeated Games with Cheap Talk / 1519\nMayada Oudah, Talal Rahwan, Tawna Crandall, Jacob W. Crandall\nAnchors: High-Precision Model-Agnostic Explanations / 1527\nOptimizing Interventions via Offline Policy Evaluation: Studies in Citizen Science / 1536\nAvi Segal, Kobi Gal, Ece Kamar, Eric Horvitz, Grant Miller\nDeep TAMER: Interactive Agent Shaping in High-Dimensional State Spaces / 1545\nGarrett Warnell, Nicholas Waytowich, Vernon Lawhern, Peter Stone\nAAAI18 Technical Track: Human Computation and Crowd Sourcing\nSemi-Supervised Learning From Crowds Using Deep Generative Models / 1555\nKyohei Atarashi, Satoshi Oyama, Masahito Kurihara\nSentiment Analysis via Deep Hybrid Textual-Crowd Learning Model / 1563\nKamran Ghasedi Dizaji, Heng Huang\nUnderstanding Over Participation in Simple Contests / 1571\nPriel Levy, David Sarne\nUnderstanding Social Interpersonal Interaction via Synchronization Templates of Facial Events / 1579\nRui Li, Jared Curhan, Mohammed Ehsan Hoque\nA Voting-Based System for Ethical Decision Making / 1587\nRitesh Noothigattu, Snehalkumar S. Gaikwad, Edmond Awad, Sohan Dsouza, Iyad Rahwan, Pradeep Ravikumar, Ariel D. Procaccia\nPartial Truthfulness in Minimal Peer Prediction Mechanisms with Limited Knowledge / 1595\nInformation Gathering with Peers: Submodular Optimization with Peer-Prediction Constraints / 1603\nGoran Radanovic, Adish Singla, Andreas Krause, Boi Faltings\nDeep Learning from Crowds / 1611\nFilipe Rodrigues, Francisco C. Pereira\nAdaFlock: Adaptive Feature Discovery for Human-in-the-loop Predictive Modeling / 1619\nAdversarial Learning for Chinese NER From Crowd Annotations / 1627\nYaoSheng Yang, Meishan Zhang, Wenliang Chen, Wei Zhang, Haofen Wang, Min Zhang\nAAAI18 Technical Track: Humans and AI\nAdapting a Kidney Exchange Algorithm to Align with Human Values / 1636\nState of the Art: Reproducibility in Artificial Intelligence / 1644\nOdd Erik Gundersen, Sigbjørn Kjensmo\nTowards Imperceptible and Robust Adversarial Example Attacks Against Neural Networks / 1652\nBo Luo, Yannan Liu, Lingxiao Wei, Qiang Xu\nImproving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing Their Input Gradients / 1660\nBeyond Sparsity: Tree Regularization of Deep Models for Interpretability / 1670\nMike Wu, Michael C. Hughes, Sonali Parbhoo, Maurizio Zazzi, Volker Roth, Finale Doshi-Velez\nCoupled Deep Learning for Heterogeneous Face Recognition / 1679\nXiang Wu, Lingxiao Song, Ran He, Tieniu Tan\nA Low-Cost Ethics Shaping Approach for Designing Reinforcement Learning Agents / 1687\nYueh-Hua Wu, Shou-De Lin\nDeception Detection in Videos / 1695\nZhe Wu, Bharat Singh, Larry S. Davis, V. S. Subrahmanian\nCascade and Parallel Convolutional Recurrent Neural Networks on EEG-Based Intention Recognition for Brain Computer Interface / 1703\nDalin Zhang, Lina Yao, Xiang Zhang, Sen Wang, Weitong Chen, Robert Boots, Boualem Benatallah\nWiFi-Based Human Identification via Convex Tensor Shapelet Learning / 1711\nHan Zou, Yuxun Zhou, Jianfei Yang, Weixi Gu, Lihua Xie, Costas J. Spanos\nAAAI18 Technical Track: Knowledge Representation and Reasoning\nExternally Supported Models for Efficient Computation of Paracoherent Answer Sets / 1720\nCombining Rules and Ontologies into Clopen Knowledge Bases / 1728\nLabinot Bajraktari, Magdalena Ortiz, Mantas Šimkus\nHow Many Properties Do We Need for Gradual Argumentation? / 1736\nPietro Baroni, Antonio Rago, Francesca Toni\nSituation Calculus Semantics for Actual Causality / 1744\nVitaliy Batusov, Mikhail Soutchanski\nComplexity of Verification in Incomplete Argumentation Frameworks / 1753\nDorothea Baumeister, Daniel Neugebauer, Jörg Rothe, Hilmar Schadrack\nGoal-Driven Query Answering for Existential Rules with Equality / 1761\nMichael Benedikt, Boris Motik, Efthymia Tsamoura\nLTLf/LDLf Non-Markovian Rewards / 1771\nRonen I. Brafman, Giuseppe De Giacomo, Fabio Patrizi\nWeighted Abstract Dialectical Frameworks / 1779\nGerhard Brewka, Hannes Strass, Johannes P. Wallner, Stefan Woltran\nSELF: Structural Equational Likelihood Framework for Causal Discovery / 1787\nRuichu Cai, Jie Qiao, Zhenjie Zhang, Zhifeng Hao\nSenticNet 5: Discovering Conceptual Primitives for Sentiment Analysis by Means of Context Embeddings / 1795\nErik Cambria, Soujanya Poria, Devamanyu Hazarika, Kenneth Kwok\nTowards a Unified Framework for Syntactic Inconsistency Measures / 1803\nGlauber De Bona, John Grant, Anthony Hunter, Sébastien Konieczny\nConvolutional 2D Knowledge Graph Embeddings / 1811\nTorusE: Knowledge Graph Embedding on a Lie Group / 1819\nRational Inference Patterns Based on Conditional Logic / 1827\nChristian Eichhorn, Gabriele Kern-Isberner, Marco Ragni\nDependence in Propositional Logic: Formula-Formula Dependence and Formula Forgetting — Application to Belief Update and Conservative Extension / 1835\nLiangda Fang, Hai Wan, Xianqiao Liu, Biqing Fang, Zhaorong Lai\nAnswering Regular Path Queries over SQ Ontologies / 1845\nVíctor Gutiérrez-Basulto, Yazmín Ibáñez-García, Jean Christoph Jung\nTowards Formal Definitions of Blameworthiness, Intention, and Moral Responsibility / 1853\nJoseph Y. Halpern, Max Kleiman-Weiner\nBehavior Is Everything: Towards Representing Concepts with Sensorimotor Contingencies / 1861\nNicholas Hay, Michael Stark, Alexander Schlegel, Carter Wendelken, Dennis Park, Eric Purdy, Tom Silver, D. Scott Phoenix, Dileep George\nOptimised Maintenance of Datalog Materialisations / 1871\nPan Hu, Boris Motik, Ian Horrocks\nQualitative Reasoning About Cardinal Directions Using Answer Set Programming / 1880\nLearning Abduction Using Partial Observability / 1888\nBrendan Juba, Zongyi Li, Evan Miller\nProbabilistic Inference Over Repeated Insertion Models / 1897\nBatya Kenig, Lovro Ilijasić, Haoyue Ping, Benny Kimelfeld, Julia Stoyanovich\nQuestion Answering as Global Reasoning Over Semantic Abstractions / 1905\nIn Praise of Belief Bases: Doing Epistemic Logic without Possible Worlds / 1915\nMaximum A Posteriori Inference in Sum-Product Networks / 1923\nJun Mei, Yong Jiang, Kewei Tu\nFair Inference on Outcomes / 1931\nRazieh Nabi, Ilya Shpitser\nStream Reasoning in Temporal Datalog / 1941\nAlessandro Ronca, Mark Kaminski, Bernardo Cuenca Grau, Boris Motik, Ian Horrocks\nOn Consensus in Belief Merging / 1949\nNicolas Schwind, Pierre Marquis\nOpen-World Knowledge Graph Completion / 1957\nBaoxu Shi, Tim Weninger\nVisual Explanation by High-Level Abduction: On Answer-Set Programming Driven Reasoning About Moving Objects / 1965\nJakob Suchan, Mehul Bhatt, Przemysław Wałega, Carl Schultz\nA Framework and Positive Results for IAR-answering / 1973\nRepairing Ontologies via Axiom Weakening / 1981\nNicolas Troquard, Roberto Confalonieri, Pietro Galliani, Rafael Peñaloza, Daniele Porello, Oliver Kutz\nMeasuring Strong Inconsistency / 1989\nMarkus Ulbricht, Matthias Thimm, Gerhard Brewka\nSplitting an LPMLN Program / 1997\nBin Wang, Zhizheng Zhang, Hongxiang Xu, Jun Shen\nIncorporating GAN for Negative Sampling in Knowledge Representation Learning / 2005\nPeifeng Wang, Shuangyin Li, Rong Pan\nForgetting and Unfolding for Existential Rules / 2013\nZhe Wang, Kewen Wang, Xiaowang Zhang\nMachine-Translated Knowledge Transfer for Commonsense Causal Reasoning / 2021\nJinyoung Yeo, Geungyu Wang, Hyunsouk Cho, Seungtaek Choi, Seung-won Hwang\nMeasuring Conditional Independence by Independent Residuals: Theoretical Results and Application in Causal Discovery / 2029\nHao Zhang, Shuigeng Zhou, Jihong Guan\nFairness in Decision-Making — The Causal Explanation Formula / 2037\nJunzhe Zhang, Elias Bareinboim\nEmbedding of Hierarchically Typed Knowledge Bases / 2046\nOn the Satisfiability Problem of Patterns in SPARQL 1.1 / 2054\nXiaowang Zhang, Jan Van den Bussche, Kewen Wang, Zhe Wang\nAAAI18 Technical Track: Machine Learning Applications\nPredicting Vehicular Travel Times by Modeling Heterogeneous Influences Between Arterial Roads / 2063\nAvinash Achar, Venkatesh Sarangan, Rohith Regikumar, Anand Sivasubramaniam\nDeep-Treat: Learning Optimal Personalized Treatments From Observational Data Using Neural Networks / 2071\nOnur Atan, James Jordon, Mihaela van der Schaar\nDeepHeart: Semi-Supervised Sequence Learning for Cardiovascular Risk Prediction / 2079\nCSWA: Aggregation-Free Spatial-Temporal Community Sensing / 2087\nJiang Bian, Haoyi Xiong, Yanjie Fu, Sajal K. Das\nMulti-Level Variational Autoencoder: Learning Disentangled Representations From Grouped Observations / 2095\nDiane Bouchacourt, Ryota Tomioka, Sebastian Nowozin\nDress Fashionably: Learn Fashion Collocation with Deep Mixed-Category Metric Learning / 2103\nLong Chen, Yuhang He\nModeling Scientific Influence for Research Trending Topic Prediction / 2111\nChengyao Chen, Zhitao Wang, Wenjie Li, Xu Sun\nTap and Shoot Segmentation / 2119\nDing-Jie Chen, Jui-Ting Chien, Hwann-Tzong Chen, Long-Wen Chang\nHARP: Hierarchical Representation Learning for Networks / 2127\nLatent Sparse Modeling of Longitudinal Multi-Dimensional Data / 2135\nKo-Shin Chen, Tingyang Xu, Jinbo Bi\nLearning Datum-Wise Sampling Frequency for Energy-Efficient Human Activity Recognition / 2143\nWeihao Cheng, Sarah Erfani, Rui Zhang, Ramamohanarao Kotagiri\nA Neural Attention Model for Urban Air Quality Inference: Learning the Weights of Monitoring Stations / 2151\nWeiyu Cheng, Yanyan Shen, Yanmin Zhu, Linpeng Huang\nModeling Temporal Tonal Relations in Polyphonic Music Through Deep Networks with a Novel Image-Based Representation / 2159\nChing-Hua Chuan, Dorien Herremans\nAdversarial Network Embedding / 2167\nQuanyu Dai, Qiang Li, Jian Tang, Dan Wang\nCollaborative Filtering with User-Item Co-Autoregressive Models / 2175\nChao Du, Chongxuan Li, Yin Zheng, Jun Zhu, Bo Zhang\nThe Shape of Art History in the Eyes of the Machine / 2183\nAhmed Elgammal, Bingchen Liu, Diana Kim, Mohamed Elhoseiny, Marian Mazzone\nMulti-Step Time Series Generator for Molecular Dynamics / 2192\nKatsuhiro Endo, Katsufumi Tomobe, Kenji Yasuoka\nSearch Action Sequence Modeling with Long Short-Term Memory for Search Task Success Evaluation / 2200\nAlin Fan, Ling Chen, Gencai Chen\nDiscriminant Projection Representation-Based Classification for Vision Recognition / 2208\nQingxiang Feng, Yicong Zhou\nThe Geometric Block Model / 2215\nGroup-Pair Convolutional Neural Networks for Multi-View Based 3D Object Retrieval / 2223\nZan Gao, Deyu Wang, Xiangnan He, Hua Zhang\nDependence Guided Unsupervised Feature Selection / 2232\nOn Trivial Solution and High Correlation Problems in Deep Supervised Hashing / 2240\nYuchen Guo, Xin Zhao, Guiguang Ding, Jungong Han\nLearning User Preferences to Incentivize Exploration in the Sharing Economy / 2248\nChristoph Hirnschall, Adish Singla, Sebastian Tschiatschek, Andreas Krause\nVideo-Based Sign Language Recognition without Temporal Segmentation / 2257\nJie Huang, Wengang Zhou, Qilin Zhang, Houqiang Li, Weiping Li\nEnergy-Efficient Automatic Train Driving by Learning Driving Patterns / 2265\nJin Huang, Yue Gao, Sha Lu, Xibin Zhao, Yangdong Deng, Ming Gu\nVideo-Based Person Re-Identification via Self Paced Weighting / 2273\nWenjun Huang, Chao Liang, Yi Yu, Zheng Wang, Weijian Ruan, Ruimin Hu\nGenerating Music Medleys via Playing Music Puzzle Games / 2281\nLink Prediction with Personalized Social Influence / 2289\nTask-Aware Compressed Sensing with Generative Adversarial Networks / 2297\nMaya Kabkab, Pouya Samangouei, Rama Chellappa\nContext-Aware Symptom Checking for Disease Diagnosis Using Hierarchical Reinforcement Learning / 2305\nDeepHit: A Deep Learning Approach to Survival Analysis with Competing Risks / 2314\nChanghee Lee, William R. Zame, Jinsung Yoon, Mihaela van der Schaar\nDeepRebirth: Accelerating Deep Neural Network Execution on Mobile Devices / 2322\nDiscriminative Semi-Coupled Projective Dictionary Learning for Low-Resolution Person Re-Identification / 2331\nKai Li, Zhengming Ding, Sheng Li, Yun Fu\nUnified Locally Linear Classifiers with Diversity-Promoting Anchor Points / 2339\nChenghao Liu, Teng Zhang, Peilin Zhao, Jianling Sun, Steven C. H. Hoi\nMulti-Modal Multi-Task Learning for Automatic Dietary Assessment / 2347\nQi Liu, Yue Zhang, Zhenguang Liu, Ye Yuan, Li Cheng, Roger Zimmermann\nDistance-Aware DAG Embedding for Proximity Search on Heterogeneous Graphs / 2355\nZemin Liu, Vincent W. Zheng, Zhou Zhao, Fanwei Zhu, Kevin Chen-Chuan Chang, Minghui Wu, Jing Ying\nSemi-Supervised Biomedical Translation with Cycle Wasserstein Regression GANs / 2363\nProbabilistic Ensemble of Collaborative Filters / 2371\nZhiyu Min, Dahua Lin\nA Combinatorial-Bandit Algorithm for the Online Joint Bid/Budget Optimization of Pay-per-Click Advertising Campaigns / 2379\nAlessandro Nuara, Francesco Trovò, Nicola Gatti, Marcello Restelli\nHierarchical Video Generation From Orthogonal Information: Optical Flow and Texture / 2387\nKatsunori Ohnishi, Shohei Yamamoto, Yoshitaka Ushiku, Tatsuya Harada\nSequence-to-Sequence Learning via Shared Latent Representation / 2395\nXu Shen, Xinmei Tian, Jun Xing, Yong Rui, Dacheng Tao\nCompatibility Family Learning for Item Recommendation and Generation / 2403\nYong-Siang Shih, Kai-Yueh Chang, Hsuan-Tien Lin, Min Sun\nNeural Ideal Point Estimation Network / 2411\nKyungwoo Song, Wonsung Lee, Il-Chul Moon\nNonlocal Patch Based t-SVD for Image Inpainting: Algorithm and Error Analysis / 2419\nLiangchen Song, Bo Du, Lefei Zhang, Liangpei Zhang, Jia Wu, Xuelong Li\nr-BTN: Cross-Domain Face Composite and Synthesis From Limited Facial Patches / 2427\nYang Song, Zhifei Zhang, Hairong Qi\nExercise-Enhanced Sequential Modeling for Student Performance Prediction / 2435\nYu Su, Qingwen Liu, Qi Liu, Zhenya Huang, Yu Yin, Enhong Chen, Chris Ding, Si Wei, Guoping Hu\nCompressed Sensing MRI Using a Recursive Dilated Network / 2444\nMesh-Based Autoencoders for Localized Deformation Component Analysis / 2452\nQingyang Tan, Lin Gao, Yu-Kun Lai, Jie Yang, Shihong Xia\nMaximum-Variance Total Variation Denoising for Interpretable Spatial Smoothing / 2460\nDifferential Performance Debugging with Discriminant Regression Trees / 2468\nSaeid Tizpaz-Niari, Pavol Cerny, Bor-Yuh Evan Chang, Ashutosh Trivedi\nAdversarial Zero-shot Learning with Semantic Augmentation / 2476\nBin Tong, Martin Klinkigt, Junwen Chen, Xiankun Cui, Quan Kong, Tomokazu Murakami, Yoshiyuki Kobayashi\nModel-Free Iterative Temporal Appliance Discovery for Unsupervised Electricity Disaggregation / 2484\nMark Valovage, Akshay Shekhawat, Maria Gini\nMultimodal Poisson Gamma Belief Network / 2492\nChaojie Wang, Bo Chen, Mingyuan Zhou\nWhen Will You Arrive? Estimating Travel Time Based on Deep Neural Networks / 2500\nDong Wang, Junbo Zhang, Wei Cao, Jian Li, Yu Zheng\nGraphGAN: Graph Representation Learning with Generative Adversarial Nets / 2508\nCollaborative Filtering with Social Exposure: A Modular Approach to Social Recommendation / 2516\nAJILE Movement Prediction: Multimodal Deep Learning for Natural Human Neural Recordings and Video / 2524\nNancy X. R. Wang, Ali Farhadi, Rajesh P. N. Rao, Bingni W. Brunton\nAttention-Based Transactional Context Embedding for Next-Item Recommendation / 2532\nShoujin Wang, Liang Hu, Longbing Cao, Xiaoshui Huang, Defu Lian, Wei Liu\nFully Convolutional Network Based Skeletonization for Handwritten Chinese Characters / 2540\nTie-Qiang Wang, Cheng-Lin Liu\nDirectional Label Rectification in Adaptive Graph / 2548\nXiaoqian Wang, Hao Huang\nHybrid Attentive Answer Selection in CQA with Deep Users Modelling / 2556\nJiahui Wen, Jingwei Ma, Yiliu Feng, Mingyang Zhong\nModeling Attention and Memory for Auditory Selection in a Cocktail Party Environment / 2564\nJiaming Xu, Jing Shi, Guangcan Liu, Xiuyi Chen, Bo Xu\nMeasuring the Popularity of Job Skills in Recruitment Market: A Multi-Criteria Approach / 2572\nLearning Generative Neural Networks for 3D Colorization / 2580\nZhenpei Yang, Lihang Liu, Qixing Huang\nDeep Multi-View Spatial-Temporal Network for Taxi Demand Prediction / 2588\nWalkRanker: A Unified Pairwise Ranking Model with Multiple Relations for Item Recommendation / 2596\nLu Yu, Chuxu Zhang, Shichao Pei, Guolei Sun, Xiangliang Zhang\nSequence-to-Point Learning with Neural Networks for Non-Intrusive Load Monitoring / 2604\nFeature Enhancement Network: A Refined Scene Text Detector / 2612\nSheng Zhang, Yuliang Liu, Lianwen Jin, Canjie Luo\nCOSINE: Community-Preserving Social Network Embedding From Information Diffusion Cascades / 2620\nYuan Zhang, Tianshu Lyu, Yan Zhang\nData Poisoning Attacks on Multi-Task Relationship Learning / 2628\nMengchen Zhao, Bo An, Yaodong Yu, Sulin Liu, Sinno Jialin Pan\nAn Adversarial Hierarchical Hidden Markov Model for Human Pose Modeling and Generation / 2636\nRui Zhao, Qiang Ji\nUnsupervised Representation Learning with Long-Term Dynamics for Skeleton Based Action Recognition / 2644\nSFCN-OPI: Detection and Fine-Grained Classification of Nuclei Using Sibling FCN with Objectness Prior Interaction / 2652\nYanning Zhou, Qi Dou, Hao Chen, Jing Qin, Pheng-Ann Heng\nParameter-Free Centralized Multi-Task Learning for Characterizing Developmental Sex Differences in Resting State Functional Connectivity / 2660\nXiaofeng Zhu, Hongming Li, Yong Fan\nAAAI18 Technical Track: Machine Learning Methods\nSafe Reinforcement Learning via Shielding / 2669\nMohammed Alshiekh, Roderick Bloem, Rüdiger Ehlers, Bettina Könighofer, Scott Niekum, Ufuk Topcu\nSample-Efficient Learning of Mixtures / 2679\nHassan Ashtiani, Shai Ben-David, Abbas Mehrabian\nLearning to Attack: Adversarial Transformation Networks / 2687\nShumeet Baluja, Ian Fischer\nOnline Learning for Structured Loss Spaces / 2696\nSiddharth Barman, Aditya Gopalan, Aadirupa Saha\nARC: Adversarial Robust Cuts for Semi-Supervised and Multi-Label Classification / 2704\nEstimating the Class Prior in Positive and Unlabeled Data Through Decision Tree Induction / 2712\nLong-Term Image Boundary Prediction / 2720\nApratim Bhattacharyya, Mateusz Malinowski, Bernt Schiele, Mario Fritz\nAlgorithms for Generalized Topic Modeling / 2730\nAvrim Blum, Nika Haghtalab\nBayesian Robust Attributed Graph Clustering: Joint Learning of Partial Anomalies and Group Structure / 2738\nTrace Ratio Optimization with Feature Correlation Mining for Multiclass Discriminant Analysis / 2746\nForough Rezaei Boroujeni, Sen Wang, Zhihui Li, Nicholas West, Bela Stantic, Lina Yao, Guodong Long\nEfficient Probabilistic Performance Bounds for Inverse Reinforcement Learning / 2754\nTeaching a Machine to Read Maps with Deep Reinforcement Learning / 2763\nGraph Scan Statistics with Uncertainty / 2771\nJose Cadena, Arinjoy Basak, Anil Vullikanti, Xinwei Deng\nMining Heavy Temporal Subgraphs: Fast Algorithms and Applications / 2779\nJose Cadena, Anil Vullikanti\nEfficient Architecture Search by Network Transformation / 2787\nUnsupervised Domain Adaptation with Distribution Matching Machines / 2795\nYue Cao, Mingsheng Long, Jianmin Wang\nLink Prediction via Subgraph Embedding-Based Convex Matrix Completion / 2803\nZhu Cao, Linlin Wang, Gerard de Melo\nReversible Architectures for Arbitrarily Deep Residual Neural Networks / 2811\nGated-Attention Architectures for Task-Oriented Language Grounding / 2819\nAdaComp : Adaptive Residual Gradient Compression for Data-Parallel Distributed Training / 2827\nLSTD: A Low-Shot Transfer Detector for Object Detection / 2836\nAutomatic Segmentation of Data Sequences / 2844\nLiangzhe Chen, Sorour E. Amiri, B. Aditya Prakash\nDarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer / 2852\nYuntao Chen, Naiyan Wang, Zhaoxiang Zhang\nAutomatic Parameter Tying: A New Approach for Regularized Parameter Learning in Markov Networks / 2860\nLi Chou, Pracheta Sahoo, Somdeb Sarkhel, Nicholas Ruozzi, Vibhav Gogate\nExpected Policy Gradients / 2868\nKamil Ciosek, Shimon Whiteson\nDiverse Exploration for Fast and Safe Policy Improvement / 2876\nClustering Small Samples with Quality Guarantees: Adaptivity with One2all PPS / 2884\nEdith Cohen, Shiri Chechik, Haim Kaplan\nDistributional Reinforcement Learning with Quantile Regression / 2892\nMulti-Step Reinforcement Learning: A Unifying Algorithm / 2902\nKristopher De Asis, J. Fernando Hernandez-Garcia, G. Zacharias Holland, Richard S. Sutton\nRandomized Kernel Selection with Spectra of Multilevel Circulant Matrices / 2910\nLizhong Ding, Shizhong Liao, Yong Liu, Peng Yang, Xin Gao\nCoupled Poisson Factorization Integrated with User/Item Metadata for Modeling Popular and Sparse Ratings in Scalable Recommendation / 2918\nTrong Dinh Thac Do, Longbing Cao\nLearning From Semi-Supervised Weak-Label Data / 2926\nHao-Chen Dong, Yu-Feng Li, Zhi-Hua Zhou\nDecomposition Strategies for Constructive Preference Elicitation / 2934\nPaolo Dragone, Stefano Teso, Mohit Kumar, Andrea Passerini\nConstructive Preference Elicitation Over Hybrid Combinatorial Spaces / 2943\nPaolo Dragone, Stefano Teso, Andrea Passerini\nLearning to Rank Based on Analogical Reasoning / 2951\nMohsen Ahmadi Fahandar, Eyke Hüllermeier\nLearning Lexicographic Preference Trees From Positive Examples / 2959\nAutoEncoder by Forest / 2967\nJi Feng, Zhi-Hua Zhou\nCounterfactual Multi-Agent Policy Gradients / 2974\nLagrangian Constrained Community Detection / 2983\nDID: Distributed Incremental Block Coordinate Descent for Nonnegative Matrix Factorization / 2991\nTianxiang Gao, Chris Chu\nIncomplete Label Multi-Task Ordinal Regression for Spatial Event Scale Forecasting / 2999\nYuyang Gao, Liang Zhao\nLearning Combinatory Categorial Grammars for Plan Recognition / 3007\nChristopher W. Geib, Pavan Kantharaju\nCharacterization of the Convex Łukasiewicz Fragment for Learning From Constraints / 3015\nTopic Modeling on Health Journals with Regularized Variational Inference / 3021\nNon-Discriminatory Machine Learning Through Convex Fairness Criteria / 3029\nNaman Goel, Mohammad Yaghini, Boi Faltings\nMargin Based PU Learning / 3037\nTieliang Gong, Guangtao Wang, Jieping Ye, Zongben Xu, Ming Lin\nA Continuous Relaxation of Beam Search for End-to-End Training of Neural Sequence Models / 3045\nKartik Goyal, Graham Neubig, Chris Dyer, Taylor Berg-Kirkpatrick\nHuman Guided Linear Regression with Feature-Level Constraints / 3053\nAubrey Gress, Ian Davidson\nLearning Predictive State Representations From Non-Uniform Sampling / 3061\nYuri Grinberg, Hossein Aboutalebi, Melanie Lyman-Abramovitch, Borja Balle, Doina Precup\nFlow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models / 3069\nBoosted Generative Models / 3077\nAsynchronous Doubly Stochastic Sparse Kernel Learning / 3085\nBin Gu, Miao Xin, Zhouyuan Huo, Heng Huang\nInexact Proximal Gradient Methods for Non-Convex and Non-Smooth Optimization / 3093\nBin Gu, De Wang, Zhouyuan Huo, Heng Huang\nAn Euclidean Distance Based on Tensor Product Graph Diffusion Related Attribute Value Embedding for Nominal Data Clustering / 3101\nLei Gu, Ningning Zhou, Yang Zhao\nWho Said What: Modeling Individual Labelers Improves Classification / 3109\nNonparametric Stochastic Contextual Bandits / 3119\nMelody Y. Guan, Heinrich Jiang\nA General Formulation for Safely Exploiting Weakly Supervised Data / 3126\nLan-Zhe Guo, Yu-Feng Li\nDouble Forward Propagation for Memorized Batch Normalization / 3134\nLearning Across Scales---Multiscale Methods for Convolution Neural Networks / 3142\nA Framework for Multistream Regression with Direct Density Ratio Estimation / 3149\nAhsanul Haque, Hemeng Tao, Swarup Chandra, Jie Liu, Latifur Khan\nApproximate and Exact Enumeration of Rule Models / 3157\nSatoshi Hara, Masakazu Ishihata\nWhen Waiting Is Not an Option: Learning Options with a Deliberation Cost / 3165\nJean Harb, Pierre-Luc Bacon, Martin Klissarov, Doina Precup\nLearning with Options That Terminate Off-Policy / 3173\nAnna Harutyunyan, Peter Vrancx, Pierre-Luc Bacon, Doina Precup, Ann Nowé\nReinforced Multi-Label Image Classification by Exploring Curriculum / 3183\nShiyi He, Chang Xu, Tianyu Guo, Chao Xu, Dacheng Tao\nAn Efficient, Expressive and Local Minima-Free Method for Learning Controlled Dynamical Systems / 3191\nAhmed Hefny, Carlton Downey, Geoffrey Gordon\nOptionGAN: Learning Joint Reward-Policy Options Using Generative Adversarial Inverse Reinforcement Learning / 3199\nDeep Reinforcement Learning That Matters / 3207\nRainbow: Combining Improvements in Deep Reinforcement Learning / 3215\nDeep Q-learning From Demonstrations / 3223\nDecentralized High-Dimensional Bayesian Optimization with Factor Graphs / 3231\nTrong Nghia Hoang, Quang Minh Hoang, Ruofei Ouyang, Kian Hsiang Low\nA Deep Model with Local Surrogate Loss for General Cost-Sensitive Multi-Label Learning / 3239\nCheng-Yu Hsieh, Yi-An Lin, Hsuan-Tien Lin\nFrom Hashing to CNNs: Training Binary Weight Networks via Hashing / 3247\nQinghao Hu, Peisong Wang, Jian Cheng\nSNNN: Promoting Word Sentiment and Negation in Neural Sentiment Classification / 3255\nQinmin Hu, Jie Zhou, Qin Chen, Liang He\nOn Convergence of Epanechnikov Mean Shift / 3263\nKejun Huang, Xiao Fu, Nicholas D. Sidiropoulos\nOrthogonal Weight Normalization: Solution to Optimization Over Multiple Dependent Stiefel Manifolds in Deep Neural Networks / 3271\nBuilding Deep Networks on Grassmann Manifolds / 3279\nZhiwu Huang, Jiqing Wu, Luc Van Gool\nAccelerated Method for Stochastic Composition Optimization with Nonsmooth Regularization / 3287\nZhouyuan Huo, Bin Gu, Ji Liu, Heng Huang\nProduct Quantized Translation for Fast Nearest Neighbor Search / 3295\nYoonho Hwang, Mooyeol Baek, Saehoon Kim, Bohyung Han, Hee-Kap Ahn\nSelective Experience Replay for Lifelong Learning / 3302\nLabel Distribution Learning by Exploiting Label Correlations / 3310\nXiuyi Jia, Weiwei Li, Junyu Liu, Yu Zhang\nMetric-Based Auto-Instructor for Learning Mixed Data Representation / 3318\nEfficient Multi-Dimensional Tensor Sparse Coding Using t-Linear Combination / 3326\nFei Jiang, Xiao-Yang Liu, Hongtao Lu, Ruimin Shen\nPAC Reinforcement Learning with an Imperfect Model / 3334\nAsymmetric Deep Supervised Hashing / 3342\nOn Controlling the Size of Clusters in Probabilistic Clustering / 3350\nLess-Forgetful Learning for Domain Expansion in Deep Neural Networks / 3358\nHeechul Jung, Jeongwoo Ju, Minju Jung, Junmo Kim\nUnified Spectral Clustering with Optimal Graph / 3366\nZhao Kang, Chong Peng, Qiang Cheng, Zenglin Xu\nBatchwise Patching of Classifiers / 3374\nSebastian Kauschke, Johannes Fürnkranz\nDeep Semi-Random Features for Nonlinear Function Approximation / 3382\nMeasuring Catastrophic Forgetting in Neural Networks / 3390\nRonald Kemker, Marc McClure, Angelina Abitino, Tyler L. Hayes, Christopher Kanan\nApproximate Vanishing Ideal via Data Knotting / 3399\nFeature Engineering for Predictive Modeling Using Reinforcement Learning / 3407\nUdayan Khurana, Horst Samulowitz, Deepak Turaga\nImitation Learning via Kernel Mean Embedding / 3415\nKee-Eung Kim, Hyun Soo Park\nOn the Optimal Bit Complexity of Circulant Binary Embedding / 3423\nSaehoon Kim, Jungtaek Kim, Seungjin Choi\nJoint Dictionaries for Zero-Shot Learning / 3431\nSoheil Kolouri, Mohammad Rostami, Yuri Owechko, Kyungnam Kim\nDialogue Act Sequence Labeling Using Hierarchical Encoder with CRF / 3440\nHarshit Kumar, Arvind Agarwal, Riddhiman Dasgupta, Sachindra Joshi\ngOCCF: Graph-Theoretic One-Class Collaborative Filtering Based on Uninteresting Items / 3448\nYeon-Chang Lee, Sang-Wook Kim, Dongwon Lee\nOn Value Function Representation of Long Horizon Problems / 3457\nLucas Lehnert, Romain Laroche, Harm van Seijen\nExtremely Low Bit Neural Network: Squeeze the Last Bit Out with ADMM / 3466\nCong Leng, Zesheng Dou, Hao Li, Shenghuo Zhu, Rong Jin\nDeterministic Policy Optimization by Combining Pathwise and Score Function Estimators for Discrete Action Spaces / 3474\nSpatio-Temporal Graph Convolution for Skeleton Based Action Recognition / 3482\nChaolong Li, Zhen Cui, Wenming Zheng, Chunyan Xu, Jian Yang\nLearning to Generalize: Meta-Learning for Domain Generalization / 3490\nA Probabilistic Hierarchical Model for Multi-View and Multi-Feature Classification / 3498\nJinxing Li, Hongwei Yong, Bob Zhang, Mu Li, Lei Zhang, David Zhang\nPredictive Coding Machine for Compressed Sensing and Image Denoising / 3506\nJun Li, Hongfu Liu, Yun Fu\nUnsupervised Personalized Feature Selection / 3514\nJundong Li, Liang Wu, Harsh Dani, Huan Liu\nLatent Discriminant Subspace Representations for Multi-View Outlier Detection / 3522\nKai Li, Sheng Li, Zhengming Ding, Weidong Zhang, Yun Fu\nDeep Learning for Case-Based Reasoning Through Prototypes: A Neural Network That Explains Its Predictions / 3530\nOscar Li, Hao Liu, Chaofan Chen, Cynthia Rudin\nDeeper Insights Into Graph Convolutional Networks for Semi-Supervised Learning / 3538\nAdaptive Graph Convolutional Neural Networks / 3546\nRuoyu Li, Sheng Wang, Feiyun Zhu, Junzhou Huang\nOnline Clustering of Contextual Cascading Bandits / 3554\nShuai Li, Shengyu Zhang\nAn Optimal Online Method of Selecting Source Policies for Reinforcement Learning / 3562\nSiyuan Li, Chongjie Zhang\nStatistical Inference Using SGD / 3571\nTianyang Li, Liu Liu, Anastasios Kyrillidis, Constantine Caramanis\nDomain Generalization via Conditional Invariant Representations / 3579\nYa Li, Mingming Gong, Xinmei Tian, Tongliang Liu, Dacheng Tao\nLearning with Incomplete Labels / 3588\nYingming Li, Zenglin Xu, Zhongfei Zhang\nBalanced Clustering via Exclusive Lasso: A Pragmatic Approach / 3596\nZhihui Li, Feiping Nie, Xiaojun Chang, Zhigang Ma, Yi Yang\nRobust Formulation for PCA: Avoiding Mean Calculation with L2, p-norm Maximization / 3604\nShuangli Liao, Jin Li, Yang Liu, Quanxue Gao, Xinbo Gao\nCoDiNMF: Co-Clustering of Directed Graphs via NMF / 3611\nWoosang Lim, Rundong Du, Haesun Park\nTransferable Contextual Bandit for Cross-Domain Recommendation / 3619\nBo Liu, Ying Wei, Yu Zhang, Zhixian Yan, Qiang Yang\nRiemannian Stein Variational Gradient Descent for Bayesian Inference / 3627\nDual Set Multi-Label Learning / 3635\nChong Liu, Peng Zhao, Sheng-Jun Huang, Yuan Jiang, Zhi-Hua Zhou\nInformation Directed Sampling for Stochastic Bandits with Graph Feedback / 3643\nFang Liu, Swapna Buccapatnam, Ness Shroff\nA Change-Detection Based Framework for Piecewise-Stationary Multi-Armed Bandit Problem / 3651\nFang Liu, Joohyun Lee, Ness Shroff\nNonlinear Pairwise Layer and Its Training for Kernel Learning / 3659\nFanghui Liu, Xiaolin Huang, Chen Gong, Jie Yang, Li Li\nA Batch Learning Framework for Scalable Personalized Ranking / 3667\nDynamic Deep Neural Networks: Optimizing Accuracy-Efficiency Trade-Offs by Selective Execution / 3675\nLanlan Liu, Jia Deng\nDoubly Approximate Nearest Neighbor Classification / 3683\nWeiwei Liu, Zhuanghua Liu, Ivor W. Tsang, Wenjie Zhang, Xuemin Lin\nEuler Sparse Representation for Image Classification / 3691\nYang Liu, Quanxue Gao, Jungong Han, Shujian Wang\nVariational Probability Flow for Biologically Plausible Training of Deep Neural Networks / 3698\nZuozhu Liu, Tony Q. S. Quek, Shaowei Lin\nA Parallelizable Acceleration Framework for Packing Linear Programs / 3706\nPalma London, Shai Vardi, Adam Wierman, Hanling Yi\nNonconvex Sparse Spectral Clustering by Alternating Direction Method of Multipliers and Its Convergence Analysis / 3714\nCanyi Lu, Jiashi Feng, Zhouchen Lin, Shuicheng Yan\nMatrix Variate Gaussian Mixture Distribution Steered Robust Metric Learning / 3722\nLei Luo, Heng Huang\nConsistent and Specific Multi-View Subspace Clustering / 3730\nShirui Luo, Changqing Zhang, Wei Zhang, Xiaochun Cao\nStochastic Non-Convex Ordinal Embedding with Stabilized Barzilai-Borwein Step Size / 3738\nKe Ma, Jinshan Zeng, Jiechao Xiong, Qianqian Xu, Xiaochun Cao, Wei Liu, Yuan Yao\nMDP-Based Cost Sensitive Classification Using Decision Trees / 3746\nShlomi Maliah, Guy Shani\nData-Dependent Learning of Symmetric/Antisymmetric Relations for Knowledge Base Completion / 3754\nHitoshi Manabe, Katsuhiko Hayashi, Masashi Shimbo\nBelief Reward Shaping in Reinforcement Learning / 3762\nOfir Marom, Benjamin Rosman\nLearning Multi-Way Relations via Tensor Decomposition with Neural Networks / 3770\nKoji Maruhashi, Masaru Todoriki, Takuya Ohwa, Keisuke Goto, Yu Hasegawa, Hiroya Inakoshi, Hirokazu Anai\nSubgraph Pattern Neural Networks for High-Order Graph Evolution Prediction / 3778\nChangping Meng, S Chandra Mouli, Bruno Ribeiro, Jennifer Neville\nExploiting Emotion on Reviews for Recommender Systems / 3788\nXuying Meng, Suhang Wang, Huan Liu, Yujun Zhang\nPersonalized Privacy-Preserving Social Recommendation / 3796\nXuying Meng, Suhang Wang, Kai Shu, Jundong Li, Bo Chen, Huan Liu, Yujun Zhang\nProper Loss Functions for Nonlinear Hawkes Processes / 3804\nAditya Krishna Menon, Young Lee\nBernoulli Embeddings for Graphs / 3812\nVinith Misra, Sumit Bhatia\nCore Dependency Networks / 3820\nMixed Sum-Product Networks: A Deep Architecture for Hybrid Domains / 3828\nAlejandro Molina, Antonio Vergari, Nicola Di Mauro, Sriraam Natarajan, Floriana Esposito, Kristian Kersting\nAlternating Circulant Random Features for Semigroup Kernels / 3836\nYusuke Mukuta, Yoshitaka Ushiku, Tatsuya Harada\nOverlap-Robust Decision Boundary Learning for within-Network Classification / 3844\nSharad Nandanwar, M. N. Murty\nA Provable Approach for Double-Sparse Coding / 3852\nThanh V. Nguyen, Raymond K. W. Wong, Chinmay Hegde\nHierarchical Policy Search via Return-Weighted Density Estimation / 3860\nTakayuki Osa, Masashi Sugiyama\nDynamic Determinantal Point Processes / 3868\nTakayuki Osogami, Rudy Raymond, Akshay Goel, Tomoyuki Shirai, Takanori Maehara\nGaussian Process Decentralized Data Fusion Meets Transfer Learning in Large-Scale Distributed Cooperative Perception / 3876\nRuofei Ouyang, Kian Hsiang Low\nTraining CNNs with Normalized Kernels / 3884\nMete Ozay, Takayuki Okatani\nSparse Modeling-Based Sequential Ensemble Learning for Effective Outlier Detection in High-Dimensional Numeric Data / 3892\nGuansong Pang, Longbing Cao, Ling Chen, Defu Lian, Huan Liu\nSAGA: A Submodular Greedy Algorithm for Group Recommendation / 3900\nShameem A. Puthiya Parambath, Nishant Vijayakumar, Sanjay Chawla\nQuantized Memory-Augmented Neural Networks / 3909\nSeongsik Park, Seijoon Kim, Seil Lee, Ho Bae, Sungroh Yoon\nAdversarial Dropout for Supervised and Semi-Supervised Learning / 3917\nSungrae Park, JunKeon Park, Su-Jin Shin, Il-Chul Moon\nAlternating Optimisation and Quadrature for Robust Control / 3925\nSupratik Paul, Konstantinos Chatzilygeroudis, Kamil Ciosek, Jean-Baptiste Mouret, Michael A. Osborne, Shimon Whiteson\nMulti-Adversarial Domain Adaptation / 3934\nZhongyi Pei, Zhangjie Cao, Mingsheng Long, Jianmin Wang\nFiLM: Visual Reasoning with a General Conditioning Layer / 3942\nEthan Perez, Florian Strub, Harm de Vries, Vincent Dumoulin, Aaron Courville\nSource Traces for Temporal Difference Learning / 3952\nRandomized Clustered Nystrom for Large-Scale Kernel Machines / 3960\nFarhad Pourkamali-Anaraki, Stephen Becker, Michael B. Wakin\nJoint Learning of Set Cardinality and State Distribution / 3968\nS. Hamid Rezatofighi, Anton Milan, Qinfeng Shi, Anthony Dick, Ian Reid\nInterpretable Graph-Based Semi-Supervised Learning via Flows / 3976\nRaif M. Rustamov, James T. Klosowski\nHypergraph p-Laplacian: A Differential Geometry View / 3984\nShota Saito, Danilo P. Mandic, Hideyuki Suzuki\nWord Co-Occurrence Regularized Non-Negative Matrix Tri-Factorization for Text Data Co-Clustering / 3992\nAghiles Salah, Melissa Ailem, Mohamed Nadif\nLearning Vector Autoregressive Models with Latent Processes / 4000\nSaber Salehkaleybar, Jalal Etesami, Negar Kiyavash, Kun Zhang\nRegularizing Deep Networks Using Efficient Layerwise Adversarial Training / 4008\nSwami Sankaranarayanan, Arpit Jain, Rama Chellappa, Ser Nam Lim\nFrom Monte Carlo to Las Vegas: Improving Restricted Boltzmann Machine Training Through Stopping Sets / 4016\nPedro H. P. Savarese, Mayank Kakodkar, Bruno Ribeiro\nOn Data-Dependent Random Features for Improved Generalization in Supervised Learning / 4026\nShahin Shahrampour, Ahmad Beirami, Vahid Tarokh\nLabeled Memory Networks for Online Model Adaptation / 4034\nShiv Shankar, Sunita Sarawagi\nNo Modes Left Behind: Capturing the Data Distribution Effectively Using GANs / 4042\nShashank Sharma, Vinay P. Namboodiri\nReduced-Rank Linear Dynamical Systems / 4050\nQi She, Yuan Gao, Kai Xu, Rosa H. M. Chan\nWasserstein Distance Guided Representation Learning for Domain Adaptation / 4058\nCompact Multi-Label Learning / 4066\nXiaobo Shen, Weiwei Liu, Ivor W. Tsang, Quan-Sen Sun, Yew-Soon Ong\nDynamic Optimization of Neural Network Structures Using Probabilistic Modeling / 4074\nShinichi Shirakawa, Yasushi Iwata, Youhei Akimoto\nLearning to Interact with Learning Agents / 4083\nAdish Singla, Hamed Hassani, Andreas Krause\nAttend and Diagnose: Clinical Time Series Analysis Using Attention Models / 4091\nReinforcement Learning in POMDPs with Memoryless Options and Option-Observation Initiation Sets / 4099\nDenis Steckelmacher, Diederik M. Roijers, Anna Harutyunyan, Peter Vrancx, Hélène Plisnier, Ann Nowé\nActive Lifelong Learning with "Watchdog" / 4107\nGan Sun, Yang Cong, Xiaowei Xu\nLeaf-Smoothed Hierarchical Softmax for Ordinal Prediction / 4115\nWesley Tansey, Karl Pichotta, James G. Scott\nReliable Multi-View Clustering / 4123\nHong Tao, Chenping Hou, Xinwang Liu, Tongliang Liu, Dongyun Yi, Jubo Zhu\nAction Branching Architectures for Deep Reinforcement Learning / 4131\nArash Tavakoli, Fabio Pardo, Petar Kormushev\nDetecting Adversarial Examples Through Image Transformation / 4139\nShixin Tian, Guolei Yang, Ying Cai\nSelective Verification Strategy for Learning From Crowds / 4147\nTian Tian, Yichi Zhou, Jun Zhu\nFourier Feature Approximations for Periodic Kernels in Time-Series Modelling / 4155\nAnthony Tompkins, Fabio Ramos\nSum-Product Autoencoding: Encoding and Decoding Representations Using Sum-Product Networks / 4163\nAntonio Vergari, Robert Peharz, Nicola Di Mauro, Alejandro Molina, Kristian Kersting, Floriana Esposito\nBayesian Functional Optimization / 4171\nNgo Anh Vien, Heiko Zimmermann, Marc Toussaint\nKernel Cross-Correlator / 4179\nChen Wang, Le Zhang, Lihua Xie, Junsong Yuan\nEfficient Test-Time Predictor Learning with Group-Based Budget / 4187\nLi Wang, Dajiang Zhu, Yujie Chi\nLearning Transferable Subspace for Human Motion Segmentation / 4195\nLichen Wang, Zhengming Ding, Yun Fu\nInformation-Theoretic Domain Adaptation Under Severe Noise Conditions / 4203\nWei Wang, Hao Wang, Zhi-Yong Ran, Ran He\nZero-Shot Learning via Class-Conditioned Deep Generative Models / 4211\nSparse Gaussian Conditional Random Fields on Top of Recurrent Neural Networks / 4219\nOn Multi-Relational Link Prediction with Bilinear Models / 4227\nYanjie Wang, Rainer Gemulla, Hui Li\nTowards Ultra-High Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-Optimization Framework / 4235\nYanzhi Wang, Caiwen Ding, Zhe Li, Geng Yuan, Siyu Liao, Xiaolong Ma, Bo Yuan, Xuehai Qian, Jian Tang, Qinru Qiu, Xue Lin\nOn the ERM Principle with Networked Data / 4244\nYuanhong Wang, Yuyi Wang, Xingwu Liu, Juhua Pu\nHigh Rank Matrix Completion with Side Information / 4252\nYugang Wang, Ehsan Elhamifar\nAdversarial Learning of Portable Student Networks / 4260\nOrthant-Wise Passive Descent Algorithms for Training L1-Regularized Models / 4268\nMERCS: Multi-Directional Ensembles of Regression and Classification Trees / 4276\nElia Van Wolputte, Evgeniya Korneva, Hendrik Blockeel\nDecoupled Convolutions for CNNs / 4284\nGuotian Xie, Ting Zhang, Kuiyuan Yang, Jianhuang Lai, Jingdong Wang\nCooperative Learning of Energy-Based Model and Latent Variable Model via MCMC Teaching / 4292\nJianwen Xie, Yang Lu, Ruiqi Gao, Ying Nian Wu\nPartial Multi-Label Learning / 4302\nMing-Kun Xie, Sheng-Jun Huang\nSemi-Supervised AUC Optimization without Guessing Labels of Unlabeled Data / 4310\nZheng Xie, Ming Li\nPerception Coordination Network: A Framework for Online Multi-Modal Concept Acquisition and Binding / 4318\nHodgeRank with Information Maximization for Crowdsourced Pairwise Ranking Aggregation / 4326\nQianqian Xu, Jiechao Xiong, Xi Chen, Qingming Huang, Yuan Yao\nDeep Neural Network Compression with Single and Multiple Level Quantization / 4335\nYuhui Xu, Yongzhuang Wang, Aojun Zhou, Weiyao Lin, Hongkai Xiong\nInformed Non-Convex Robust Principal Component Analysis with Features / 4343\nNiannan Xue, Jiankang Deng, Yannis Panagakis, Stefanos Zafeiriou\nDictionary Learning in Optimal Metric Space / 4350\nJiexi Yan, Cheng Deng, Xianglong Liu\nAutomatic Model Selection in Subspace Clustering via Triplet Relationships / 4358\nJufeng Yang, Jie Liang, Kai Wang, Yong-Liang Yang, Ming-Ming Cheng\nA Poisson Gamma Probabilistic Model for Latent Node-Group Memberships in Dynamic Networks / 4366\nNew l2, 1-Norm Relaxation of Multi-Way Graph Cut for Clustering / 4374\nXu Yang, Cheng Deng, Xianglong Liu, Feiping Nie\nEfficient K-Shot Learning with Regularized Deep Networks / 4382\nDonghyun Yoo, Haoqi Fan, Vishnu Naresh Boddeti, Kris M. Kitani\nLearning with Single-Teacher Multi-Student / 4390\nShan You, Chang Xu, Chao Xu, Dacheng Tao\nTau-FPL: Tolerance-Constrained Learning in Linear Time / 4398\nAo Zhang, Nan Li, Jian Pu, Jun Wang, Junchi Yan, Hongyuan Zha\nMulti-Layer Multi-View Classification for Alzheimer’s Disease Diagnosis / 4406\nChangqing Zhang, Ehsan Adeli, Tao Zhou, Xiaobo Chen, Dinggang Shen\nLatent Semantic Aware Multi-View Multi-Label Classification / 4414\nChangqing Zhang, Ziwei Yu, Qinghua Hu, Pengfei Zhu, Xinwang Liu, Xiaobo Wang\nROAR: Robust Label Ranking for Social Emotion Mining / 4422\nJason (Jiasheng) Zhang, Dongwon Lee\nBeyond Link Prediction: Predicting Hyperlinks in Adjacency Space / 4430\nMuhan Zhang, Zhicheng Cui, Shali Jiang, Yixin Chen\nAn End-to-End Deep Learning Architecture for Graph Classification / 4438\nMuhan Zhang, Zhicheng Cui, Marion Neumann, Yixin Chen\nFeature-Induced Labeling Information Enrichment for Multi-Label Learning / 4446\nQian-Wen Zhang, Yun Zhong, Min-Ling Zhang\nInterpreting CNN Knowledge via an Explanatory Graph / 4454\nQuanshi Zhang, Ruiming Cao, Feng Shi, Ying Nian Wu, Song-Chun Zhu\nExamining CNN Representations with Respect to Dataset Bias / 4464\nQuanshi Zhang, Wenguan Wang, Song-Chun Zhu\nOptimal Margin Distribution Clustering / 4474\nTeng Zhang, Zhi-Hua Zhou\nTraining Set Debugging Using Trusted Items / 4482\nXuezhou Zhang, Xiaojin Zhu, Stephen Wright\nEMD Metric Learning / 4490\nZizhao Zhang, Yubo Zhang, Xibin Zhao, Yue Gao\nDistant-Supervision of Heterogeneous Multitask Learning for Social Event Forecasting with Multilingual Indicators / 4498\nLiang Zhao, Junxiang Wang, Xiaojie Guo\nLabel Distribution Learning by Optimal Transport / 4506\nPeng Zhao, Zhi-Hua Zhou\nSubstructure Assembling Network for Graph Classification / 4514\nXiaohan Zhao, Bo Zong, Ziyu Guan, Kai Zhang, Wei Zhao\nHypergraph Learning with Cost Interval Optimization / 4522\nXibin Zhao, Nan Wang, Heyuan Shi, Hai Wan, Jin Huang, Yue Gao\nLearning Mixtures of Random Utility Models / 4530\nZhibing Zhao, Tristan Villamil, Lirong Xia\nDirect Hashing without Pseudo-Labels / 4539\nFeng Zheng, Heng Huang\nLearning Graph-Structured Sum-Product Networks for Probabilistic Semantic Maps / 4547\nKaiyu Zheng, Andrzej Pronobis, Rajesh P. N. Rao\nLabel Distribution Learning by Exploiting Sample Correlations Locally / 4556\nXiang Zheng, Xiuyi Jia, Weiwei Li\nATRank: An Attention-Based User Behavior Modeling Framework for Recommendation / 4564\nChang Zhou, Jinze Bai, Junshuai Song, Xiaofei Liu, Zhengchao Zhao, Xiusi Chen, Jun Gao\nBudget-Constrained Multi-Armed Bandits with Multiple Plays / 4572\nDatong P. Zhou, Claire J. Tomlin\nRocket Launching: A Universal and Efficient Framework for Training Well-Performing Light Net / 4580\nGuorui Zhou, Ying Fan, Runpeng Cui, Weijie Bian, Xiaoqiang Zhu, Kun Gai\nSC2Net: Sparse LSTMs for Sparse Coding / 4588\nAdaptive Quantization for Deep Neural Network / 4596\nYiren Zhou, Seyed-Mohsen Moosavi-Dezfooli, Ngai-Man Cheung, Pascal Frossard\nNon-Parametric Outliers Detection in Multiple Time Series A Case Study: Power Grid Data Analysis / 4605\nYuxun Zhou, Han Zou, Reza Arghandeh, Weixi Gu, Costas J. Spanos\nA Spherical Hidden Markov Model for Semantics-Rich Human Mobility Modeling / 4613\nWanzheng Zhu, Chao Zhang, Shuochao Yao, Xiaobin Gao, Jiawei Han\nWeighted Multi-View Spectral Clustering Based on Spectral Perturbation / 4621\nLinlin Zong, Xianchao Zhang, Xinyue Liu, Hong Yu\nAAAI18 Technical Track: Multiagent Systems\nLearning the Behavior of a Dynamical System Via a "20 Questions" Approach / 4630\nAbhijin Adiga, Chris J. Kuhlman, Madhav V. Marathe, Ravi S. S., Daniel J. Rosenkrantz, Richard E. Stearns\nKnowledge, Fairness, and Social Constraints / 4638\nHaris Aziz, Sylvain Bouveret, Ioannis Caragiannis, Ira Giagkousi, Jérôme Lang\nPOMDP-Based Decision Making for Fast Event Handling in VANETs / 4646\nShuo Chen, Athirai A. Irissappane, Jie Zhang\nAn Ant-Based Algorithm to Solve Distributed Constraint Optimization Problems / 4654\nZiyu Chen, Tengfei Wu, Yanchen Deng, Cheng Zhang\nPreallocation and Planning Under Stochastic Resource Constraints / 4662\nFrits de Nijs, Matthijs T. J. Spaan, Mathijs M. de Weerdt\nManipulative Elicitation — A New Attack on Elections with Incomplete Preferences / 4670\nControl Argumentation Frameworks / 4678\nDecentralised Learning in Systems with Many, Many Strategic Agents / 4686\nDavid Mguni, Joel Jennings, Enrique Munoz de Cote\nDilated FCN for Multi-Agent 2D/3D Medical Image Registration / 4694\nShun Miao, Sebastien Piat, Peter Fischer, Ahmet Tuysuzoglu, Philip Mewes, Tommaso Mansi, Rui Liao\nStrategic Coalitions with Perfect Recall / 4702\nPavel Naumov, Jia Tao\nThe Role of Data-Driven Priors in Multi-Agent Crowd Trajectory Estimation / 4710\nGang Qiao, Sejong Yoon, Mubbasir Kapadia, Vladimir Pavlovic\nDynamic Pricing for Reusable Resources in Competitive Market with Stochastic Demand / 4718\nJiang Rong, Tao Qin, Bo An\nSocial Norms of Cooperation with Costly Reputation Building / 4727\nMultiagent Connected Path Planning: PSPACE-Completeness and How to Deal with It / 4735\nDavide Tateo, Jacopo Banfi, Alessandro Riva, Francesco Amigoni, Andrea Bonarini\nMaximizing Influence in an Unknown Social Network / 4743\nIntegrated Cooperation and Competition in Multi-Agent Decision-Making / 4751\nKyle Hollins Wray, Akshat Kumar, Shlomo Zilberstein\nPrivacy-Preserving Policy Iteration for Decentralized POMDPs / 4759\nFeng Wu, Shlomo Zilberstein, Xiaoping Chen\nHogRider: Champion Agent of Microsoft Malmo Collaborative AI Challenge / 4767\nYanhai Xiong, Haipeng Chen, Mengchen Zhao, Bo An\nAAAI18 Technical Track: NLP and Knowledge Representation\nEffective Broad-Coverage Deep Parsing / 4776\nJames F. Allen, Omid Bahkshandeh, William de Beaumont, Lucian Galescu, Choh Man Teng\nFaithful to the Original: Fact Aware Neural Abstractive Summarization / 4784\nZiqiang Cao, Furu Wei, Wenjie Li, Sujian Li\nSyntax-Directed Attention for Neural Machine Translation / 4792\nKehai Chen, Rui Wang, Masao Utiyama, Eiichiro Sumita, Tiejun Zhao\nA Semantic QA-Based Approach for Text Summarization Evaluation / 4800\nLearning Sentiment-Specific Word Embedding via Global Sentiment Representation / 4808\nPeng Fu, Zheng Lin, Fengcheng Yuan, Weiping Wang, Dan Meng\nKnowledge Graph Embedding with Iterative Guidance From Soft Rules / 4816\n280 Birds with One Stone: Inducing Multilingual Taxonomies From Wikipedia Using Character-Level Classification / 4824\nAmit Gupta, Rémi Lebret, Hamza Harkous, Karl Aberer\nNeural Knowledge Acquisition via Mutual Attention Between Knowledge Graph and Text / 4832\nXu Han, Zhiyuan Liu, Maosong Sun\nFEEL: Featured Event Embedding Learning / 4840\nI-Ta Lee, Dan Goldwasser\nLinguistic Properties Matter for Implicit Discourse Relation Recognition: Combining Semantic Interaction, Topic Continuity and Attribution / 4848\nWenqiang Lei, Yuanxin Xiang, Yuwei Wang, Qian Zhong, Meichun Liu, Min-Yen Kan\nActionable Email Intent Modeling with Reparametrized RNNs / 4856\nChu-Cheng Lin, Dongyeop Kang, Michael Gamon, Patrick Pantel\nEvent Detection via Gated Multilingual Attention Mechanism / 4865\nJian Liu, Yubo Chen, Kang Liu, Jun Zhao\nImproving Sequence-to-Sequence Constituency Parsing / 4873\nLemao Liu, Muhua Zhu, Shuming Shi\nTable-to-Text Generation by Structure-Aware Seq2seq Learning / 4881\nTianyu Liu, Kexiang Wang, Lei Sha, Baobao Chang, Zhifang Sui\nNever Retreat, Never Retract: Argumentation Analysis for Political Speeches / 4889\nAMR Parsing with Cache Transition Systems / 4897\nXiaochang Peng, Daniel Gildea, Giorgio Satta\nEarly Syntactic Bootstrapping in an Incremental Memory-Limited Word Learner / 4905\nSepideh Sadeghi, Matthias Scheutz\nRecognizing and Justifying Text Entailment Through Distributional Navigation on Definition Graphs / 4913\nVivian S. Silva, Siegfried Handschuh, André Freitas\nSPINE: SParse Interpretable Neural Embeddings / 4921\nAnant Subramanian, Danish Pruthi, Harsh Jhamtani, Taylor Berg-Kirkpatrick, Eduard Hovy\nDeep Semantic Role Labeling with Self-Attention / 4929\nZhixing Tan, Mingxuan Wang, Jun Xie, Yidong Chen, Xiaodong Shi\nTranslating Pro-Drop Languages with Reconstruction Models / 4937\nLongyue Wang, Zhaopeng Tu, Shuming Shi, Tong Zhang, Yvette Graham, Qun Liu\nEvent Representations with Tensor-Based Compositions / 4946\nDoes William Shakespeare REALLY Write Hamlet? Knowledge Representation Learning with Confidence / 4954\nRuobing Xie, Zhiyuan Liu, Fen Lin, Leyu Lin\nMulti-Channel Encoder for Neural Machine Translation / 4962\nAugmenting End-to-End Dialogue Systems with Commonsense Knowledge / 4970\nAn Unsupervised Model with Attention Autoencoders for Question Retrieval / 4978\nMinghua Zhang, Yunfang Wu\nSequential Copying Networks / 4987\nQingyu Zhou, Nan Yang, Furu Wei, Ming Zhou\nAAAI18 Technical Track: NLP and Machine Learning\nLattice Recurrent Unit: Improving Convergence and Statistical Efficiency for Sequence Modeling / 4996\nChaitanya Ahuja, Louis-Philippe Morency\nLeveraging Lexical Substitutes for Unsupervised Word Sense Induction / 5004\nDomagoj Alagić, Jan Šnajder, Sebastian Padó\nGeneralizing and Improving Bilingual Word Embedding Mappings with a Multi-Step Framework of Linear Transformations / 5012\nTable-to-Text: Describing Table Region with Natural Language / 5020\nJunwei Bao, Duyu Tang, Nan Duan, Zhao Yan, Yuanhua Lv, Ming Zhou, Tiejun Zhao\nLearning Interpretable Spatial Operations in a Rich 3D Blocks World / 5028\nYonatan Bisk, Kevin J Shih, Yejin Choi, Daniel Marcu\nUsing k-Way Co-Occurrences for Learning Word Embeddings / 5037\nDanushka Bollegala, Yuichi Yoshida, Ken-ichi Kawarabayashi\nProposition Entailment in Educational Applications Using Deep Neural Networks / 5045\nFlorin Adrian Bulgarov, Rodney Nielsen\ncw2vec: Learning Chinese Word Embeddings with Stroke n-gram Information / 5053\nKnowledge-Based Word Sense Disambiguation Using Topic Models / 5062\nDevendra Singh Chaplot, Ruslan Salakhutdinov\nMeta Multi-Task Learning for Sequence Modeling / 5070\nJunkun Chen, Xipeng Qiu, Pengfei Liu, Xuanjing Huang\nIMS-DTM: Incremental Multi-Scale Dynamic Topic Models / 5078\nXilun Chen, K. Selcuk Candan, Maria Luisa Sapino\nZero-Resource Neural Machine Translation with Multi-Agent Communication Game / 5086\nYun Chen, Yang Liu, Victor O.K. Li\nLearning to Compose Task-Specific Tree Structures / 5094\nJihun Choi, Kang Min Yoo, Sang-goo Lee\nGeometric Relationship between Word and Context Representations / 5102\nJiangtao Feng, Xiaoqing Zheng\nA Knowledge-Grounded Neural Conversation Model / 5110\nMarjan Ghazvininejad, Chris Brockett, Ming-Wei Chang, Bill Dolan, Jianfeng Gao, Wen-tau Yih, Michel Galley\nLearning to Predict Readability Using Eye-Movement Data From Natives and Learners / 5118\nAna V. González-Garduño, Anders Søgaard\nNeural Machine Translation with Gumbel-Greedy Decoding / 5125\nJiatao Gu, Daniel Jiwoong Im, Victor O.K. Li\nSearch Engine Guided Neural Machine Translation / 5133\nLong Text Generation via Adversarial Training with Leaked Information / 5141\nA Deep Generative Framework for Paraphrase Generation / 5149\nAnkush Gupta, Arvind Agarwal, Prawaan Singh, Piyush Rai\nPlacing Objects in Gesture Space: Toward Incremental Interpretation of Multimodal Spatial Descriptions / 5157\nTing Han, Casey Kennington, David Schlangen\nJointly Parse and Fragment Ungrammatical Sentences / 5165\nPersuasive Influence Detection: The Role of Argument Sequencing / 5173\nChristopher Thomas Hidey, Kathleen McKeown\nAn Interpretable Generative Adversarial Approach to Classification of Latent Entity Relations in Unstructured Sentences / 5181\nShiou Tian Hsu, Changsung Moon, Paul Jones, Nagiza Samatova\nSciTaiL: A Textual Entailment Dataset from Science Question Answering / 5189\nEfficient Large-Scale Multi-Modal Classification / 5198\nNeural Character-level Dependency Parsing for Chinese / 5205\nHaonan Li, Zhisong Zhang, Yuqi Ju, Hai Zhao\nConversational Model Adaptation via KL Divergence Regularization / 5213\nJuncen Li, Ping Luo, Fen Lin, Bo Chen\nSlim Embedding Layers for Recurrent Neural Language Models / 5220\nZhongliang Li, Raymond Kulhanek, Shaojun Wang, Yunxin Zhao, Shuang Wu\nAutomatic Generation of Text Descriptive Comments for Code Blocks / 5229\nYuding Liang, Kenny Qili Zhu\nBBQ-Networks: Efficient Exploration in Deep Reinforcement Learning for Task-Oriented Dialogue Systems / 5237\nZachary Lipton, Xiujun Li, Jianfeng Gao, Lihong Li, Faisal Ahmed, Li Deng\nCustomized Nonlinear Bandits for Online Response Selection in Neural Conversation Models / 5245\nBing Liu, Tong Yu, Ian Lane, Ole J. Mengshoel\nEmpower Sequence Labeling with Task-Aware Neural Language Model / 5253\nLiyuan Liu, Jingbo Shang, Xiang Ren, Frank Fangzheng Xu, Huan Gui, Jian Peng, Jiawei Han\nSemantic Structure-Based Word Embedding by Incorporating Concept Convergence and Word Divergence / 5261\nImproved Text Matching by Enhancing Mutual Information / 5269\nYang Liu, Wenge Rong, Zhang Xiong\nImproving Language Modelling with Noise Contrastive Estimation / 5277\nFarhana Ferdousi Liza, Marek Grzes\nSentence Ordering and Coherence Modeling Using Recurrent Neural Networks / 5285\nLajanugen Logeswaran, Honglak Lee, Dragomir Radev\nEliciting Positive Emotion through Affect-Sensitive Dialogue Response Generation: A Neural Network Approach / 5293\nCoChat: Enabling Bot and Human Collaboration for Task Completion / 5301\nXufang Luo, Zijia Lin, Yunhong Wang, Zaiqing Nie\nFact Checking in Community Forums / 5309\nTsvetomila Mihaylova, Preslav Nakov, Lluís Màrquez, Alberto Barrón-Cedeño, Mitra Mohtarami, Georgi Karadzhov, James Glass\nPersonalizing a Dialogue System with Transfer Reinforcement Learning / 5317\nKaixiang Mo, Yu Zhang, Shuangyin Li, Jiajun Li, Qiang Yang\nContext Aware Conversational Understanding for Intelligent Agents with a Screen / 5325\nVishal Ishwar Naik, Angeliki Metallinou, Rahul Goel\nControlling Global Statistics in Recurrent Neural Network Text Generation / 5333\nThanapon Noraset, David Demeter, Doug Downey\nFew Shot Transfer Learning BetweenWord Relatedness and Similarity Tasks Using A Gated Recurrent Siamese Network / 5342\nJames O' Neill, Paul Buitelaar\nQuestion-Answering with Grammatically-Interpretable Representations / 5350\nHamid Palangi, Paul Smolensky, Xiaodong He, Li Deng\nCanonical Correlation Inference for Mapping Abstract Scenes to Text / 5358\nNikos Papasarantopoulos, Helen Jiang, Shay B. Cohen\nExploring the Terrain of Metaphor Novelty: A Regression-Based Approach for Automatically Scoring Metaphors / 5366\nNatalie Parde, Rodney D. Nielsen\nTwo Knowledge-Based Methods for High-Performance Sense Distribution Learning / 5374\nTommaso Pasini, Roberto Navigli\nAttention-Based Belief or Disbelief Feature Extraction for Dependency Parsing / 5382\nHaoyuan Peng, Lu Liu, Yi Zhou, Junying Zhou, Xiaoqing Zheng\nMulti-Task Learning for Parsing the Alexa Meaning Representation Language / 5390\nBayesian Verb Sense Clustering / 5398\nDaniel W Peterson, Martha Palmer\nDeepType: Multilingual Entity Linking by Neural Type System Evolution / 5406\nJonathan Raphael Raiman, Olivier Michel Raiman\nOrder-Planning Neural Text Generation From Structured Data / 5414\nLei Sha, Lili Mou, Tianyu Liu, Pascal Poupart, Sujian Li, Baobao Chang, Zhifang Sui\nA Multi-View Fusion Neural Network for Answer Selection / 5422\nLei Sha, Xiaodong Zhang, Feng Qian, Baobao Chang, Zhifang Sui\nGenerating Sentences Using a Dynamic Canvas / 5430\nHarshil Shah, Bowen Zheng, David Barber\nDeconvolutional Latent-Variable Model for Text Sequence Matching / 5438\nDinghan Shen, Yizhe Zhang, Ricardo Henao, Qinliang Su, Lawrence Carin\nDiSAN: Directional Self-Attention Network for RNN/CNN-Free Language Understanding / 5446\nTao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Shirui Pan, Chengqi Zhang\nImproving Variational Encoder-Decoders in Dialogue Generation / 5456\nXiaoyu Shen, Hui Su, Shuzi Niu, Vera Demberg\nNeural Cross-Lingual Entity Linking / 5464\nAvirup Sil, Gourab Kundu, Radu Florian, Wael Hamza\nUnity in Diversity: Learning Distributed Heterogeneous Sentence Representation for Extractive Summarization / 5473\nAbhishek Kumar Singh, Manish Gupta, Vasudeva Varma\nSpectral Word Embedding with Negative Sampling / 5481\nVariational Recurrent Neural Machine Translation / 5488\nIncorporating Discriminator in Sentence Generation: a Gibbs Sampling Method / 5496\nJinyue Su, Jiacheng Xu, Xipeng Qiu, Xuanjing Huang\nSource-Target Inference Models for Spatial Instruction Understanding / 5504\nHao Tan, Mohit Bansal\nCross Temporal Recurrent Networks for Ranking Question Answer Pairs / 5512\nYi Tay, Luu Anh Tuan, Siu Cheung Hui\nGuiding Exploratory Behaviors for Multi-Modal Grounding of Linguistic Descriptions / 5520\nJesse Thomason, Jivko Sinapov, Raymond J. Mooney, Peter Stone\nLearning Better Name Translation for Cross-Lingual Wikification / 5528\nLearning Latent Opinions for Aspect-Level Sentiment Classification / 5537\nBailin Wang, Wei Lu\nMathDQN: Solving Arithmetic Word Problems via Deep Reinforcement Learning / 5545\nLei Wang, Dongxiang Zhang, Lianli Gao, Jingkuan Song, Long Guo, Heng Tao Shen\nDual Transfer Learning for Neural Machine Translation with Marginal Distribution Regularization / 5553\nYijun Wang, Yingce Xia, Li Zhao, Jiang Bian, Tao Qin, Guiquan Liu, Tie-Yan Liu\nA Neural Transition-Based Approach for Semantic Dependency Graph Parsing / 5561\nYuxuan Wang, Wanxiang Che, Jiang Guo, Ting Liu\nStarSpace: Embed All the Things! / 5569\nWord Attention for Sequence to Sequence Text Understanding / 5578\nLijun Wu, Fei Tian, Li Zhao, Jianhuang Lai, Tie-Yan Liu\nKnowledge Enhanced Hybrid Neural Network for Text Matching / 5586\nYu Wu, Wei Wu, Can Xu, Zhoujun Li\nNeural Response Generation with Dynamic Vocabularies / 5594\nYu Wu, Wei Wu, Dejian Yang, Can Xu, Zhoujun Li\nLearning to Extract Coherent Summary via Deep Reinforcement Learning / 5602\nYuxiang Wu, Baotian Hu\nHierarchical Recurrent Attention Network for Response Generation / 5610\nChen Xing, Yu Wu, Wei Wu, Yalou Huang, Ming Zhou\nHow Images Inspire Poems: Generating Classical Chinese Poetry from Images with Memory Networks / 5618\nLinli Xu, Liang Jiang, Chuan Qin, Zhe Wang, Dongfang Du\nLearning Multi-Modal Word Representation Grounded in Visual Context / 5626\néloi Zablocki, Benjamin Piwowarski, Laure Soulier, Patrick Gallinari\nMemory Fusion Network for Multi-view Sequential Learning / 5634\nAmir Zadeh, Paul Pu Liang, Navonil Mazumder, Soujanya Poria, Erik Cambria, Louis-Philippe Morency\nMulti-Attention Recurrent Network for Human Communication Comprehension / 5642\nChinese LIWC Lexicon Expansion via Hierarchical Classification of Word Embeddings with Sememe Attention / 5650\nXiangkai Zeng, Cheng Yang, Cunchao Tu, Zhiyuan Liu, Maosong Sun\nLarge Scaled Relation Extraction with Reinforcement Learning / 5658\nXiangrong Zeng, Shizhu He, Kang Liu, Jun Zhao\nEnd-to-End Quantum-Like Language Models with Application to Question Answering / 5666\nPeng Zhang, Jiabin Niu, Zhan Su, Benyou Wang, Liqun Ma, Dawei Song\nAdaptive Co-attention Network for Named Entity Recognition in Tweets / 5674\nQi Zhang, Jinlan Fu, Xiaoyu Liu, Xuanjing Huang\nNeural Networks Incorporating Dictionaries for Chinese Word Segmentation / 5682\nQi Zhang, Xiaoyu Liu, Jinlan Fu\nAddressee and Response Selection in Multi-Party Conversations with Speaker Interaction RNNs / 5690\nAsynchronous Bidirectional Decoding for Neural Machine Translation / 5698\nXiangwen Zhang, Jinsong Su, Yue Qin, Yang Liu, Rongrong Ji, Hongji Wang\nMedical Exam Question Answering with Large-scale Reading Comprehension / 5706\nXiao Zhang, Ji Wu, Zhiyang He, Xien Liu, Ying Su\nCoLink: An Unsupervised Framework for User Identity Linkage / 5714\nZexuan Zhong, Yong Cao, Yong Cao, Mu Guo, Mu Guo, Zaiqing Nie, Zaiqing Nie\nTree-Structured Neural Machine for Linguistics-Aware Sentence Generation / 5722\nGanbin Zhou, Ping Luo, Rongyu Cao, Yijun Xiao, Fen Lin, Bo Chen, Qing He\nElastic Responding Machine for Dialog Generation with Dynamically Mechanism Selecting / 5730\nGanbin Zhou, Ping Luo, Yijun Xiao, Fen Lin, Bo Chen, Qing He\nRNN-Based Sequence-Preserved Attention for Dependency Parsing / 5738\nYi Zhou, Junying Zhou, Lu Liu, Jiangtao Feng, Haoyuan Peng, Xiaoqing Zheng\nAAAI18 Technical Track: NLP and Text Mining\nGenerative Adversarial Network Based Heterogeneous Bibliographic Network Representation for Personalized Citation Recommendation / 5747\nXiaoyan Cai, Junwei Han, Libin Yang\nA Multilayer Convolutional Encoder-Decoder Neural Network for Grammatical Error Correction / 5755\nShamil Chollampatt, Hwee Tou Ng\nWeakly Supervised Induction of Affective Events by Optimizing Semantic Consistency / 5763\nHaibo Ding, Ellen Riloff\nCross-Lingual Propagation for Deep Sentiment Analysis / 5771\nXin Dong, Gerard de Melo\nReinforcement Learning for Relation Classification From Noisy Data / 5779\nJun Feng, Minlie Huang, Li Zhao, Yang Yang, Xiaoyan Zhu\nTwitter Summarization Based on Social Network and Sparse Reconstruction / 5787\nRuifang He, Xingyi Duan\nSEE: Syntax-Aware Entity Embedding for Neural Relation Extraction / 5795\nZhengqiu He, Wenliang Chen, Zhenghua Li, Meishan Zhang, Wei Zhang, Min Zhang\nSemi-Distantly Supervised Neural Model for Generating Compact Answers to Open-Domain Why Questions / 5803\nRyo Ishida, Kentaro Torisawa, Jong-Hoon Oh, Ryu Iida, Canasai Kruengkrai, Julien Kloetzer\nTask-Specific Representation Learning for Web-Scale Entity Disambiguation / 5812\nRijula Kar, Susmija Reddy, Sourangshu Bhattacharya, Anirban Dasgupta, Soumen Chakrabarti\nByte-Level Machine Reading Across Morphologically Varied Languages / 5820\nTom Kenter, Llion Jones, Daniel Hewlett\nA Question-Focused Multi-Factor Attention Network for Question Answering / 5828\nSouvik Kundu, Hwee Tou Ng\nTraining and Evaluating Improved Dependency-Based Word Embeddings / 5836\nChen Li, Jianxin Li, Yangqiu Song, Ziwei Lin\nInference on Syntactic and Semantic Structures for Machine Comprehension / 5844\nChenrui Li, Yuanbin Wu, Man Lan\nHierarchical Attention Transfer Network for Cross-Domain Sentiment Classification / 5852\nZheng Li, Ying Wei, Yu Zhang, Qiang Yang\nDynamic User Profiling for Streams of Short Texts / 5860\nMulti-Task Medical Concept Normalization Using Multi-View Convolutional Neural Network / 5868\nYi Luo, Guojie Song, Pengyu Li, Zhongang Qi\nTargeted Aspect-Based Sentiment Analysis via Embedding Commonsense Knowledge into an Attentive LSTM / 5876\nYukun Ma, Haiyun Peng, Erik Cambria\nCognition-Cognizant Sentiment Analysis with Multitask Subjectivity Summarization Based on Annotators' Gaze Behavior / 5884\nArgument Mining for Improving the Automated Scoring of Persuasive Essays / 5892\nHuy V. Nguyen, Diane J. Litman\nGraph Convolutional Networks with Argument-Aware Pooling for Event Detection / 5900\nMention and Entity Description Co-Attention for Entity Disambiguation / 5908\nFeng Nie, Yunbo Cao, Jinpeng Wang, Chin-Yew Lin, Rong Pan\nJointly Extracting Event Triggers and Arguments by Dependency-Bridge RNN and Tensor-Based Argument Interaction / 5916\nLei Sha, Feng Qian, Baobao Chang, Zhifang Sui\nContent and Context: Two-Pronged Bootstrapped Learning for Regex-Formatted Entity Extraction / 5924\nTowards a Neural Conversation Model with Diversity Net Using Determinantal Point Processes / 5932\nYiping Song, Rui Yan, Yansong Feng, Yaoyuan Zhang, Dongyan Zhao, Ming Zhang\nS-Net: From Answer Extraction to Answer Synthesis for Machine Reading Comprehension / 5940\nChuanqi Tan, Furu Wei, Nan Yang, Bowen Du, Weifeng Lv, Ming Zhou\nSkipFlow: Incorporating Neural Coherence Features for End-to-End Automatic Text Scoring / 5948\nLearning to Attend via Word-Aspect Associative Fusion for Aspect-Based Sentiment Analysis / 5956\nInvestigating Inner Properties of Multimodal Representation and Semantic Compositionality with Brain-Based Componential Semantics / 5964\nLearning Multimodal Word Representation via Dynamic Fusion Methods / 5973\nShaonan Wang, Jiajun Zhang, Chengqing Zong\nR3: Reinforced Ranker-Reader for Open-Domain Question Answering / 5981\nShuohang Wang, Mo Yu, Xiaoxiao Guo, Zhiguo Wang, Tim Klinger, Wei Zhang, Shiyu Chang, Gerry Tesauro, Bowen Zhou, Jing Jiang\nImproving Review Representations with User Attention and Product Attention for Sentiment Classification / 5989\nZhen Wu, Xin-Yu Dai, Cunyan Yin, Shujian Huang, Jiajun Chen\nImproving Neural Fine-Grained Entity Typing with Knowledge Attention / 5997\nJi Xin, Yankai Lin, Zhiyuan Liu, Maosong Sun\nDiagnosing and Improving Topic Models by Analyzing Posterior Variability / 6005\nLinzi Xing, Michael J. Paul\nDual Attention Network for Product Compatibility and Function Satisfiability Analysis / 6013\nAssertion-Based QA with Question-Aware Open Information Extraction / 6021\nZhao Yan, Duyu Tang, Nan Duan, Shujie Liu, Wendi Wang, Daxin Jiang, Ming Zhou, Zhoujun Li\nMulti-Entity Aspect-Based Sentiment Analysis with Context, Entity and Aspect Memory / 6029\nJun Yang, Runqi Yang, Chongjun Wang, Junyuan Xie\nOTyper: A Neural Architecture for Open Named Entity Typing / 6037\nZheng Yuan, Doug Downey\nScale Up Event Extraction Learning via Automatic Training Data Generation / 6045\nYing Zeng, Yansong Feng, Rong Ma, Zheng Wang, Rui Yan, Chongde Shi, Dongyan Zhao\nLearning Structured Representation for Text Classification via Reinforcement Learning / 6053\nTianyang Zhang, Minlie Huang, Li Zhao\nDuplicate Question Identification by Integrating FrameNet with Neural Networks / 6061\nXiaodong Zhang, Xu Sun, Houfeng Wang\nVariational Reasoning for Question Answering with Knowledge Graph / 6069\nYuyu Zhang, Hanjun Dai, Zornitsa Kozareva, Alexander J. Smola, Le Song\nHierarchical Attention Flow for Multiple-Choice Reading Comprehension / 6077\nHaichao Zhu, Furu Wei, Bing Qin, Ting Liu\nAAAI18 Technical Track: Planning and Scheduling\nResource-Constrained Scheduling for Maritime Traffic Management / 6086\nLucas Agussurja, Akshat Kumar, Hoong Chuin Lau\nClassical Planning in Deep Latent Space: Bridging the Subsymbolic-Symbolic Boundary / 6094\nMasataro Asai, Alex Fukunaga\nPlanning with Pixels in (Almost) Real Time / 6102\nWilmer Bandres, Blai Bonet, Hector Geffner\ntotSAT - Totally-Ordered Hierarchical Planning Through SAT / 6110\nGregor Behnke, Daniel Höller, Susanne Biundo\nSublinear Search Spaces for Shortest Path Planning in Grid and Road Networks / 6119\nJohannes Blum, Stefan Funke, Sabine Storandt\nScheduling in Visual Fog Computing: NP-Completeness and Practical Efficient Solutions / 6127\nHong-Min Chu, Shao-Wen Yang, Padmanabhan Pillai, Yen-Kuang Chen\nFat- and Heavy-Tailed Behavior in Satisficing Planning / 6136\nEldan Cohen, J. Christopher Beck\nFinite Sample Analyses for TD(0) with Function Approximation / 6144\nSynthesis of Orchestrations of Transducers for Manufacturing / 6161\nGiuseppe De Giacomo, Moshe Y. Vardi, Paolo Felli, Natasha Alechina, Brian Logan\nMeta-Search Through the Space of Representations and Heuristics on a Problem by Problem Basis / 6169\nRaquel Fuentetaja, Michael Barley, Daniel Borrajo, Jordan Douglas, Santiago Franco, Patricia Riddle\nExpressive Real-Time Intersection Scheduling / 6177\nRick Goldstein, Stephen F. Smith\nPlanning and Learning for Decentralized MDPs with Event Driven Rewards / 6186\nTarun Gupta, Akshat Kumar, Praveen Paruchuri\nA Recursive Algorithm to Generate Balanced Weekend Tournaments / 6195\nPlan Recognition in Continuous Domains / 6202\nGal A. Kaminka, Mor Vered, Noa Agmon\nSemi-Black Box: Rapid Development of Planning Based Solutions / 6211\nMichael Katz, Dany Moshkovich, Erez Karpas\nMultiagent Simple Temporal Problem: The Arc-Consistency Approach / 6219\nShufeng Kong, Jae Hee Lee, Sanjiang Li\nLoad Scheduling of Simple Temporal Networks Under Dynamic Resource Pricing / 6227\nT. K. Satish Kumar, Zhi Wang, Anoop Kumar, Craig Milo Rogers, Craig A. Knoblock\nOn the Relationship Between State-Dependent Action Costs and Conditional Effects in Planning / 6237\nRobert Mattmüller, Florian Geißer, Benedict Wright, Bernhard Nebel\nGeneralized Value Iteration Networks:Life Beyond Lattices / 6246\nSufeng Niu, Siheng Chen, Hanyu Guo, Colin Targonski, Melissa C. Smith, Jelena Kovačević\nLinear and Integer Programming-Based Heuristics for Cost-Optimal Numeric Planning / 6254\nChiara Piacentini, Margarita P. Castro, Andre A. Cire, J. Christopher Beck\nSensor-Based Activity Recognition via Learning From Distributions / 6262\nHangwei Qian, Sinno Jialin Pan, Chunyan Miao\nKnowledge-Based Policies for Qualitative Decentralized POMDPs / 6270\nAbdallah Saffidine, François Schwarzentruber, Bruno Zanuttini\nRisk-Aware Proactive Scheduling via Conditional Value-at-Risk / 6278\nStackelberg Planning: Towards Effective Leader-Follower State Space Search / 6286\nPatrick Speicher, Marcel Steinmetz, Michael Backes, Jörg Hoffmann, Robert Künnemann\nAction Schema Networks: Generalised Policies with Deep Learning / 6294\nSam Toyer, Felipe Trevizan, Sylvie Thiébaux, Lexing Xie\nLearning Conditional Generative Models for Temporal Point Processes / 6302\nAAAI18 Technical Track: Reasoning under Uncertainty\nCombining Experts’ Causal Judgments / 6311\nDalal Alrajeh, Hana Chockler, Joseph Yehuda Halpern\nAn Experimental Study of Advice in Sequential Decision-Making Under Uncertainty / 6319\nFlorian Benavent, Bruno Zanuttini\nOptimal Approximation of Random Variables for Estimating the Probability of Meeting a Plan Deadline / 6327\nLiat Cohen, Tal Grinshpoun, Gera Weiss\nGeneralized Adjustment Under Confounding and Selection Biases / 6335\nArmstrong's Axioms and Navigation Strategies / 6343\nLifted Generalized Dual Decomposition / 6351\nNicholas Gallo, Alexander Ihler\nLearning Mixtures of MLNs / 6359\nMohammad Maminur Islam, Somdeb Sarkhel, Deepak Venugopal\nRelNN: A Deep Neural Model for Relational Learning / 6367\nSeyed Mehran Kazemi, David Poole\nApproximate Inference via Weighted Rademacher Complexity / 6376\nJonathan Kuck, Ashish Sabharwal, Stefano Ermon\nRelational Marginal Problems: Theory and Estimation / 6384\nOndřej Kuželka, Yuyi Wang, Jesse Davis, Steven Schockaert\nAnytime Anyspace AND/OR Best-First Search for Bounding Marginal MAP / 6392\nQi Lou, Rina Dechter, Alexander Ihler\nA Neural Stochastic Volatility Model / 6401\nLearning Robust Options / 6409\nDaniel J. Mankowitz, Timothy A. Mann, Pierre-Luc Bacon, Doina Precup, Shie Mannor\nEfficient-UCBV: An Almost Optimal Algorithm Using Variance Estimates / 6417\nHawkes Process Inference with Missing Data / 6425\nChristian R. Shelton, Zhen Qin, Chandini Shetty\nConditional PSDDs: Modeling and Learning with Modular Knowledge / 6433\nYujia Shen, Arthur Choi, Adnan Darwiche\nInformation Acquisition Under Resource Limitations in a Noisy Environment / 6443\nMatvey Soloviev, Joseph Y. Halpern\nRisk-Sensitive Submodular Optimization / 6451\nTowards Training Probabilistic Topic Models on Neuromorphic Multi-Chip Systems / 6459\nZihao Xiao, Jianfei Chen, Jun Zhu\nAAAI18 Technical Track: Robotics\nIONet: Learning to Cure the Curse of Drift in Inertial Odometry / 6468\nImproved Results for Minimum Constraint Removal / 6477\nEduard Eiben, Jonathan Gemmell, Iyad Kanj, Andrew Youngdahl\nSafe Reinforcement Learning via Formal Methods: Toward Safe Control Through Proof and Learning / 6485\nIterative Continuous Convolution for 3D Template Matching and Global Localization / 6493\nLearning Integrated Holism-Landmark Representations for Long-Term Loop Closure Detection / 6501\nFei Han, Hua Wang, Hao Zhang\nGuiding Search in Continuous State-Action Spaces by Learning an Action Sampler From Off-Target Search Experience / 6509\nBeomjoon Kim, Leslie Pack Kaelbling, Tomás Lozano-Pérez\nUnsupervised Selection of Negative Examples for Grounded Language Learning / 6517\nNisha Pillai, Cynthia Matuszek\nFrom Virtual Demonstration to Real-World Manipulation Using LSTM and MDN / 6524\nRouhollah Rahmatizadeh, Pooya Abolghasemi, Aman Behal, Ladislau Bölöni\nBuilding Continuous Occupancy Maps with Moving Robots / 6532\nRansalu Senanayake, Fabio Ramos\nPhase-Parametric Policies for Reinforcement Learning in Cyclic Environments / 6540\nSafe Exploration and Optimization of Constrained MDPs Using Gaussian Processes / 6548\nAAAI18 Technical Track: Search and Constraint Satisfaction\nSweep-Based Propagation for String Constraint Solving / 6557\nRoberto Amadini, Graeme Gange, Peter J. Stuckey\nMaxSAT Resolution with the Dual Rail Encoding / 6565\nMaria Luisa Bonet, Sam Buss, Alexey Ignatiev, Joao Marques-Silva, Antonio Morgado\nA SAT+CAS Method for Enumerating Williamson Matrices of Even Order / 6573\nCurtis Bright, Ilias Kotsireas, Vijay Ganesh\nExact MAP-Inference by Confining Combinatorial Search with LP Relaxation / 6581\nStefan Haller, Paul Swoboda, Bogdan Savchynskyy\nCommunity-Based Trip Sharing for Urban Commuting / 6589\nMohd. Hafiz Hasan, Pascal Van Hentenryck, Ceren Budak, Jiayu Chen, Chhavi Chaudhry\nSchur Number Five / 6598\nTowards Generalization in QBF Solving via Machine Learning / 6607\nVerifying Properties of Binarized Deep Neural Networks / 6615\nNina Narodytska, Shiva Kasiviswanathan, Leonid Ryzhyk, Mooly Sagiv, Toby Walsh\nParallel Algorithms for Operations on Multi-Valued Decision Diagrams / 6625\nPremise Set Caching for Enumerating Minimal Correction Subsets / 6633\nOn Cryptographic Attacks Using Backdoors for SAT / 6641\nAlexander Semenov, Oleg Zaikin, Ilya Otpuschennikov, Stepan Kochemazov, Alexey Ignatiev\nEnhancing Constraint-Based Multi-Objective Combinatorial Optimization / 6649\nLearning Robust Search Strategies Using a Bandit-Based Approach / 6657\nWei Xia, Roland H. C. Yap\nAAAI18 Technical Track: Vision\nLearning Spatio-Temporal Features with Partial Expression Sequences for On-the-Fly Prediction / 6666\nWissam J. Baddar, Yong Man Ro\nSEE: Towards Semi-Supervised End-to-End Scene Text Recognition / 6674\nChristian Bartz, Haojin Yang, Christoph Meinel\nAsymmetric Joint Learning for Heterogeneous Face Recognition / 6682\nBing Cao, Nannan Wang, Xinbo Gao, Jie Li\nLateral Inhibition-Inspired Convolutional Neural Network for Visual Attention and Saliency Detection / 6690\nChunshui Cao, Yongzhen Huang, Zilei Wang, Liang Wang, Ninglong Xu, Tieniu Tan\nTransfer Adversarial Hashing for Hamming Space Retrieval / 6698\nZhangjie Cao, Mingsheng Long, Chao Huang, Jianmin Wang\nTemporal-Difference Learning with Sampling Baseline for Image Captioning / 6706\nHui Chen, Guiguang Ding, Sicheng Zhao, Jungong Han\nOrder-Free RNN with Visual Attention for Multi-Label Classification / 6714\nLearning a Wavelet-Like Auto-Encoder to Accelerate Deep Neural Networks / 6722\nTianshui Chen, Liang Lin, Wangmeng Zuo, Xiaonan Luo, Lei Zhang\nRecurrent Attentional Reinforcement Learning for Multi-Label Image Recognition / 6730\nMixedPeds: Pedestrian Detection in Unannotated Videos Using Synthetically Generated Human-Agents for Training / 6738\nErnest Cheung, Anson Wong, Aniket Bera, Dinesh Manocha\nSelf-View Grounding Given a Narrated 360° Video / 6748\nShih-Han Chou, Yi-Chun Chen, Kuo-Hao Zeng, Hou-Ning Hu, Jianlong Fu, Min Sun\nUsing Syntax to Ground Referring Expressions in Natural Images / 6756\nVolkan Cirik, Taylor Berg-Kirkpatrick, Louis-Philippe Morency\nAcquiring Common Sense Spatial Knowledge Through Implicit Spatial Templates / 6765\nGuillem Collell, Luc Van Gool, Marie-Francine Moens\nPixelLink: Detecting Scene Text via Instance Segmentation / 6773\nDan Deng, Haifeng Liu, Xuelong Li, Deng Cai\nExprGAN: Facial Expression Editing with Controllable Expression Intensity / 6781\nHui Ding, Kumar Sricharan, Rama Chellappa\nA Deep Cascade Network for Unaligned Face Attribute Classification / 6789\nHui Ding, Hao Zhou, Shaohua Kevin Zhou, Rama Chellappa\nAuto-Balanced Filter Pruning for Efficient Convolutional Neural Networks / 6797\nXiaohan Ding, Guiguang Ding, Jungong Han, Sheng Tang\nHierarchical Nonlinear Orthogonal Adaptive-Subspace Self-Organizing Map Based Feature Extraction for Human Action Recognition / 6805\nYang Du, Chunfeng Yuan, Bing Li, Weiming Hu, Hao Yang, Zhikang Fu, Lili Zhao\nSelf-Reinforced Cascaded Regression for Face Alignment / 6813\nXin Fan, Risheng Liu, Kang Huyan, Yuyao Feng, Zhongxuan Luo\nLearning Pose Grammar to Encode Human Body Configuration for 3D Pose Estimation / 6821\nHao-Shu Fang, Yuanlu Xu, Wenguan Wang, Xiaobai Liu, Song-Chun Zhu\nUnravelling Robustness of Deep Learning Based Face Recognition Against Adversarial Attacks / 6829\nGaurav Goswami, Nalini Ratha, Akshay Agarwal, Richa Singh, Mayank Vatsa\nStack-Captioning: Coarse-to-Fine Learning for Image Captioning / 6837\nJiuxiang Gu, Jianfei Cai, Gang Wang, Tsuhan Chen\nHierarchical LSTM for Sign Language Translation / 6845\nDan Guo, Wengang Zhou, Houqiang Li, Meng Wang\nLearning Coarse-to-Fine Structured Feature Embedding for Vehicle Re-Identification / 6853\nHaiyun Guo, Chaoyang Zhao, Zhiwei Liu, Jinqiao Wang, Hanqing Lu\nResidual Encoder Decoder Network and Adaptive Prior for Face Parsing / 6861\nTianchu Guo, Youngsung Kim, Hui Zhang, Deheng Qian, ByungIn Yoo, Jingtao Xu, Dongqing Zou, Jae-Joon Han, Changkyu Choi\nZero-Shot Learning with Attribute Selection / 6870\nYuchen Guo, Guiguang Ding, Jungong Han, Sheng Tang\nDoing the Best We Can with What We Have: Multi-Label Balancing with Selective Learning for Attribute Prediction / 6878\nEmily M. Hand, Carlos Castillo, Rama Chellappa\nCMCGAN: A Uniform Framework for Cross-Modal Visual-Audio Mutual Generation / 6886\nWangli Hao, Zhaoxiang Zhang, He Guan\nIntegrating Both Visual and Audio Cues for Enhanced Video Caption / 6894\nMerge or Not? Learning to Group Faces via Imitation Learning / 6902\nYue He, Kaidi Cao, Cheng Li, Chen Change Loy\nUnsupervised Deep Learning of Mid-Level Video Representation for Action Recognition / 6910\nJingyi Hou, Xinxiao Wu, Jin Chen, Jiebo Luo, Yunde Jia\nDual-Reference Face Retrieval / 6918\nBingZhang Hu, Feng Zheng, Ling Shao\nFacial Landmarks Detection by Self-Iterative Regression Based Landmarks-Attention Network / 6926\nTao Hu, Honggang Qi, Jizheng Xu, Qingming Huang\nLearning Adaptive Hidden Layers for Mobile Gesture Recognition / 6934\nTing-Kuei Hu, Yen-Yu Lin, Pi-Cheng Hsiu\nRecurrently Aggregating Deep Features for Salient Object Detection / 6943\nXiaowei Hu, Lei Zhu, Jing Qin, Chi-Wing Fu, Pheng-Ann Heng\nSAP: Self-Adaptive Proposal Model for Temporal Action Detection Based on Reinforcement Learning / 6951\nJingjia Huang, Nannan Li, Tao Zhang, Ge Li, Tiejun Huang, Wen Gao\nLearning to Guide Decoding for Image Captioning / 6959\nWenhao Jiang, Lin Ma, Xinpeng Chen, Hanwang Zhang, Wei Liu\nDeep Low-Resolution Person Re-Identification / 6967\nJiening Jiao, Wei-Shi Zheng, Ancong Wu, Xiatian Zhu, Shaogang Gong\nCo-Domain Embedding Using Deep Quadruplet Networks for Unseen Traffic Sign Recognition / 6975\nMultispectral Transfer Network: Unsupervised Depth Estimation for All-Day Vision / 6983\nGenerating Triples with Adversarial Networks for Scene Graph Construction / 6992\nAction Prediction From Videos via Memorizing Hard-to-Predict Samples / 7000\nYu Kong, Shangqian Gao, Bin Sun, Yun Fu\nRobust Collaborative Discriminative Learning for RGB-Infrared Tracking / 7008\nXiangyuan Lan, Mang Ye, Shengping Zhang, Pong C. Yuen\nEnd-to-End United Video Dehazing and Detection / 7016\nWeakly Supervised Salient Object Detection Using Image Labels / 7024\nGuanbin Li, Yuan Xie, Liang Lin\nBrute-Force Facial Landmark Analysis with a 140, 000-Way Classifier / 7032\nMengtian Li, Laszlo Jeni, Deva Ramanan\nDF2Net: Discriminative Feature Learning and Fusion Network for RGB-D Indoor Scene Classification / 7041\nYabei Li, Junge Zhang, Yanhua Cheng, Kaiqi Huang, Tieniu Tan\nDeep Semantic Structural Constraints for Zero-Shot Learning / 7049\nYan Li, Zhen Jia, Junge Zhang, Kaiqi Huang, Tieniu Tan\nAnti-Makeup: Learning A Bi-Level Adversarial Network for Makeup-Invariant Face Verification / 7057\nYi Li, Lingxiao Song, Xiang Wu, Ran He, Tieniu Tan\nVideo Generation From Text / 7065\nYitong Li, Martin Renqiang Min, Dinghan Shen, David Carlson, Lawrence Carin\nR-FCN++: Towards Accurate Region-Based Fully Convolutional Networks for Object Detection / 7073\nZeming Li, Yilun Chen, Gang Yu, Yangdong Deng\nMulti-Rate Gated Recurrent Convolutional Networks for Video-Based Pedestrian Re-Identification / 7081\nZhihui Li, Lina Yao, Feiping Nie, Dingwen Zhang, Min Xu\nCross-View Person Identification by Matching Human Poses Estimated with Confidence on Each Body Joint / 7089\nGuoqiang Liang, Xuguang Lan, Kang Zheng, Song Wang, Nanning Zheng\nVisual Relationship Detection with Deep Structural Ranking / 7098\nKongming Liang, Yuhong Guo, Hong Chang, Xilin Chen\nTracking Occluded Objects and Recovering Incomplete Trajectories by Reasoning About Containment Relations and Human Actions / 7106\nWei Liang, Yixin Zhu, Song-Chun Zhu\nLearning Efficient Point Cloud Generation for Dense 3D Object Reconstruction / 7114\nChen-Hsuan Lin, Chen Kong, Simon Lucey\nMulti-Scale Face Restoration with Sequential Gating Ensemble Network / 7122\nAction Recognition with Coarse-to-Fine Deep Feature Integration and Asynchronous Fusion / 7130\nWeiyao Lin, Chongyang Zhang, Ke Lu, Bin Sheng, Jianxin Wu, Bingbing Ni, Xin Liu, Hongkai Xiong\nT-C3D: Temporal Convolutional 3D Network for Real-Time Action Recognition / 7138\nKun Liu, Wu Liu, Chuang Gan, Mingkui Tan, Huadong Ma\nCross-Domain Human Parsing via Adversarial Feature and Label Adaptation / 7146\nSi Liu, Yao Sun, Defa Zhu, Guanghui Ren, Yu Chen, Jiashi Feng, Jizhong Han\nChar-Net: A Character-Aware Neural Network for Distorted Scene Text Recognition / 7154\nWei Liu, Chaofeng Chen, Kwan-Yee K. Wong\nSemi-Supervised Bayesian Attribute Learning for Person Re-Identification / 7162\nA Cascaded Inception of Inception Network with Attention Modulated Feature Fusion for Human Pose Estimation / 7170\nWentao Liu, Jie Chen, Cheng Li, Chen Qian, Xiao Chu, Xiaolin Hu\nDictionary Learning Inspired Deep Network for Scene Recognition / 7178\nYang Liu, Qingchao Chen, Wei Chen, Ian Wassell\nPoseHD: Boosting Human Detectors Using Human Pose Information / 7186\nZhijian Liu, Bowen Pan, Yuliang Xiu, Cewu Lu\nSqueezedText: A Real-Time Scene Text Recognition by Binary Convolutional Encoder-Decoder Network / 7194\nZichuan Liu, Yixing Li, Fengbo Ren, Wang Ling Goh, Hao Yu\nMultimodal Keyless Attention Fusion for Video Classification / 7202\nTowards Affordable Semantic Searching: Zero-Shot Retrieval via Dominant Attributes / 7210\nYang Long, Li Liu, Yuming Shen, Ling Shao\nCo-Attending Free-Form Regions and Detections with Multi-Modal Multiplicative Feature Embedding for Visual Question Answering / 7218\nPan Lu, Hongsheng Li, Wei Zhang, Jianyong Wang, Xiaogang Wang\nUnsupervised Articulated Skeleton Extraction From Point Set Sequences Captured by a Single Depth Camera / 7226\nXuequan Lu, Honghua Chen, Sai-Kit Yeung, Zhigang Deng, Wenzhi Chen\nCurve-Structure Segmentation From Depth Maps: A CNN-Based Approach and Its Application to Exploring Cultural Heritage Objects / 7235\nYuhang Lu, Jun Zhou, Jing Wang, Jun Chen, Karen Smith, Colin Wilder, Song Wang\nMulti-Channel Pyramid Person Matching Network for Person Re-Identification / 7243\nChaojie Mao, Yingming Li, Yaqing Zhang, Zhongfei Zhang, Xi Li\nUnFlow: Unsupervised Learning of Optical Flow with a Bidirectional Census Loss / 7251\nSimon Meister, Junhwa Hur, Stefan Roth\nWeakly Supervised Collective Feature Learning From Curated Media / 7260\nAsking Friendly Strangers: Non-Semantic Attribute Transfer / 7268\nNils Murrugarra-Llerena, Adriana Kovashka\nSpatial as Deep: Spatial CNN for Traffic Scene Understanding / 7276\nAdaptive Feature Abstraction for Translating Video to Text / 7284\nYunchen Pu, Martin Renqiang Min, Zhe Gan, Lawrence Carin\nScene-Centric Joint Parsing of Cross-View Videos / 7292\nHang Qi, Yuanlu Xu, Tao Yuan, Tianfu Wu, Song-Chun Zhu\nExploring Human-Like Attention Supervision in Visual Question Answering / 7300\nTingting Qiao, Jianfeng Dong, Duanqing Xu\nRAN4IQA: Restorative Adversarial Nets for No-Reference Image Quality Assessment / 7308\nHongyu Ren, Diqi Chen, Yizhou Wang\nExtreme Low Resolution Activity Recognition with Multi-Siamese Embedding Learning / 7315\nMichael S. Ryoo, Kiyoon Kim, Hyun Jong Yang\nTop-Down Feedback for Crowd Counting Convolutional Neural Network / 7323\nDeepak Babu Sam, R. Venkatesh Babu\nGame of Sketches: Deep Recurrent Models of Pictionary-Style Word Guessing / 7331\nRavi Kiran Sarvadevabhatla, Shiv Surya, Trisha Mittal, R. Venkatesh Babu\nDLPaper2Code: Auto-Generation of Code From Deep Learning Research Papers / 7339\nAkshay Sethi, Anush Sankaran, Naveen Panwar, Shreya Khare, Senthil Mani\nRegion-Based Quality Estimation Network for Large-Scale Person Re-Identification / 7347\nGuanglu Song, Biao Leng, Yu Liu, Congrui Hetang, Shaofan Cai\nAdversarial Discriminative Heterogeneous Face Recognition / 7355\nLingxiao Song, Man Zhang, Xiang Wu, Ran He\nLearning Binary Residual Representations for Domain-Specific Video Streaming / 7363\nDiverse Beam Search for Improved Description of Complex Scenes / 7371\nAshwin K. Vijayakumar, Michael Cogswell, Ramprasaath R. Selvaraju, Qing Sun, Stefan Lee, David Crandall, Dhruv Batra\nMovie Question Answering: Remembering the Textual Cues for Layered Visual Contents / 7380\nBo Wang, Youjiang Xu, Yahong Han, Richang Hong\nSupervised Deep Hashing for Hierarchical Labeled Data / 7388\nDan Wang, Heyan Huang, Chi Lu, Bo-Si Feng, Guihua Wen, Liqiang Nie, Xian-Ling Mao\nShow, Reward and Tell: Automatic Generation of Narrative Paragraph From Photo Stream by Adversarial Training / 7396\nJing Wang, Jianlong Fu, Jinhui Tang, Zechao Li, Tao Mei\nCooperative Training of Deep Aggregation Networks for RGB-D Action Recognition / 7404\nPichao Wang, Wanqing Li, Jun Wan, Philip Ogunbona, Xinwang Liu\nTemporal-Enhanced Convolutional Network for Person Re-Identification / 7412\nYang Wu, Jie Qiu, Jun Takamatsu, Tsukasa Ogasawara\nTransferable Semi-Supervised Semantic Segmentation / 7420\nHuaxin Xiao, Yunchao Wei, Yu Liu, Maojun Zhang, Jiashi Feng\nEmphasizing 3D Properties in Recurrent Multi-View Aggregation for 3D Shape Retrieval / 7428\nCheng Xu, Biao Leng, Cheng Zhang, Xiaochen Zhou\nUnsupervised Part-Based Weighting Aggregation of Deep Convolutional Features for Image Retrieval / 7436\nJian Xu, Cunzhao Shi, Chengzuo Qi, Chunheng Wang, Baihua Xiao\nSpatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition / 7444\nSijie Yan, Yuanjun Xiong, Dahua Lin\nDomain-Shared Group-Sparse Dictionary Learning for Unsupervised Domain Adaptation / 7453\nBaoyao Yang, Andy J. Ma, Pong C. Yuen\nMulti-Scale Bidirectional FCN for Object Skeleton Extraction / 7461\nFan Yang, Xin Li, Hong Cheng, Yuxiao Guo, Leiting Chen, Jianping Li\nUnderstanding Image Impressiveness Inspired by Instantaneous Human Perceptual Cues / 7469\nJufeng Yang, Yan Sun, Jie Liang, Yong-Liang Yang, Ming-Ming Cheng\nExploring Temporal Preservation Networks for Precise Temporal Action Localization / 7477\nKe Yang, Peng Qiao, Dongsheng Li, Shaohe Lv, Yong Dou\nTowards Perceptual Image Dehazing by Physics-Based Disentanglement and Adversarial Training / 7485\nXitong Yang, Zheng Xu, Jiebo Luo\nUnsupervised Learning of Geometry From Videos with Edge-Aware Depth-Normal Consistency / 7493\nHierarchical Discriminative Learning for Visible Thermal Person Re-Identification / 7501\nMang Ye, Xiangyuan Lan, Jiawei Li, Pong C. Yuen\nCo-Saliency Detection within a Single Image / 7509\nHongkai Yu, Kang Zheng, Jianwu Fang, Hao Guo, Wei Feng, Song Wang\nDeep Stereo Matching with Explicit Cost Aggregation Sub-Architecture / 7517\nLidong Yu, Yucheng Wang, Yuwei Wu, Yunde Jia\nA Deep Ranking Model for Spatio-Temporal Highlight Detection From a 360° Video / 7525\nYoungjae Yu, Sangho Lee, Joonil Na, Jaeyun Kang, Gunhee Kim\nMix-and-Match Tuning for Self-Supervised Semantic Segmentation / 7534\nXiaohang Zhan, Ziwei Liu, Ping Luo, Xiaoou Tang, Chen Change Loy\nAudio Visual Attribute Discovery for Fine-Grained Object Recognition / 7542\nHua Zhang, Xiaochun Cao, Rui Wang\nKill Two Birds with One Stone: Weakly-Supervised Neural Network for Image Annotation and Tag Refinement / 7550\nJunjie Zhang, Qi Wu, Jian Zhang, Chunhua Shen, Jianfeng Lu\nFace Sketch Synthesis From Coarse to Fine / 7558\nMingjin Zhang, Nannan Wang, Yunsong Li, Ruxin Wang, Xinbo Gao\nAccelerated Training for Massive Classification via Dynamic Class Selection / 7566\nXingcheng Zhang, Lei Yang, Junjie Yan, Dahua Lin\nFLIC: Fast Linear Iterative Clustering with Active Search / 7574\nJiaxing Zhao, Bo Ren, Qibin Hou, Ming-Ming Cheng, Paul Rosin\nDeep Reinforcement Learning for Unsupervised Video Summarization with Diversity-Representativeness Reward / 7582\nKaiyang Zhou, Yu Qiao, Tao Xiang\nTowards Automatic Learning of Procedures From Web Instructional Videos / 7590\nGraph Correspondence Transfer for Person Re-Identification / 7599\nQin Zhou, Heng Fan, Shibao Zheng, Hang Su, Xinzhe Li, Shuang Wu, Haibin Ling\nProgressive Cognitive Human Parsing / 7607\nBingke Zhu, Yingying Chen, Ming Tang, Jinqiao Wang\nLearning Adversarial 3D Model Generation with 2D Image Enhancer / 7615\nJing Zhu, Jin Xie, Yi Fang\nDeep Structured Learning for Visual Relationship Detection / 7623\nYaohui Zhu, Shuqiang Jiang\nHCVRD: A Benchmark for Large-Scale Human-Centered Visual Relationship Detection / 7631\nBohan Zhuang, Qi Wu, Chunhua Shen, Ian Reid, Anton van den Hengel\n3D Box Proposals From a Single Monocular Image of an Indoor Scene / 7639\nUnderstanding Human Behaviors in Crowds by Imitating the Decision-Making Process / 7648\nHaosheng Zou, Hang Su, Shihong Song, Jun Zhu\nIAAI18 Technical Track: Deployed Application Papers\nSecure and Automated Enterprise Revenue Forecasting / 7657\nJocelyn Barker, Amita Gajewar, Konstantin Golyaev, Gagan Bansal, Matt Conners\nSketch Worksheets in STEM Classrooms: Two Deployments / 7665\nKenneth D. Forbus, Bridget Garnier, Basil Tikoff, Wayne Marko, Madeline Usher, Matthew McLure\nAn Automated Employee Timetabling System for Small Businesses / 7673\nRichard Hoshino, Aaron Slobodin, William Bernoudy\nHorizontal Scaling with a Framework for Providing AI Solutions within a Game Company / 7680\nJohn F. Kolen, Mohsen Sardari, Marwan Mattar, Nick Peterson, Meng Wu\nHi, How Can I Help You?: Automating Enterprise IT Support Help Desks / 7688\nSenthil Mani, Neelamadhav Gantayat, Rahul Aralikatte, Monika Gupta, Sampath Dechu, Anush Sankaran, Shreya Khare, Barry Mitchell, Hemamalini Subramanian, Hema Venkatarangan\nSentient Ascend: AI-Based Massively Multivariate Conversion Rate Optimization / 7696\nRisto Miikkulainen, Neil Iscoe, Aaron Shagrin, Ryan Rapp, Sam Nazari, Patrick McGrath, Cory Schoolland, Elyas Achkar, Myles Brundage, Jeremy Miller, Jonathan Epstein, Gurmeet Lamba\nSmartHS: An AI Platform for Improving Government Service Provision / 7704\nYongqing Zheng, Han Yu, Lizhen Cui, Chunyan Miao, Cyril Leung, Qiang Yang\nIAAI18 Technical Track: Emerging Application Papers\nBandit-Based Solar Panel Control / 7713\nDeath vs. Data Science: Predicting End of Life / 7719\nMuhammad A. Ahmad, Carly Eckert, Greg McKelvey, Kiyana Zolfagar, Anam Zahid, Ankur Teredesai\nCRM Sales Prediction Using Continuous Time-Evolving Classification / 7727\nMohamoud Ali, Yugyung Lee\nNovel Exploration Techniques (NETs) for Malaria Policy Interventions / 7735\nOliver Bent, Sekou L. Remy, Stephen Roberts, Aisha Walcott-Bryant\nSPOT Poachers in Action: Augmenting Conservation Drones with Automatic Detection in Near Real Time / 7741\nElizabeth Bondi, Fei Fang, Mark Hamilton, Debarun Kar, Donnabell Dmello, Jongmoo Choi, Robert Hannaford, Arvind Iyer, Lucas Joppa, Milind Tambe, Ram Nevatia\nInspireMe: Learning Sequence Models for Stories / 7747\nVincent Fortuin, Romann M. Weber, Sasha Schriber, Diana Wotruba, Markus Gross\nAssessing National Development Plans for Alignment with Sustainable Development Goals via Semantic Search / 7753\nJonathan Galsurkar, Moninder Singh, Lingfei Wu, Aditya Vempaty, Mikhail Sushkov, Devika Iyer, Serge Kapto, Kush R. Varshney\nClassification of Malware by Using Structural Entropy on Convolutional Neural Networks / 7759\nOptimal Pricing for Distance-Based Transit Fares / 7765\nDiscovering Program Topoi Through Clustering / 7771\nCarlo Ieva, Arnaud Gotlieb, Souhila Kaci, Nadjib Lazaar\nUpping the Game of Taxi Driving in the Age of Uber / 7779\nShashi Shekhar Jha, Shih-Fen Cheng, Meghna Lowalekar, Nicholas Wong, Rishikeshan Rajendram, Trong Khiem Tran, Pradeep Varakantham, Nghia Truong Trong, Firmansyah Bin Abd Rahman\nMobile Network Failure Event Detection and Forecasting with Multiple User Activity Data Sets / 7786\nMotoyuki Oki, Koh Takeuchi, Yukio Uematsu\nMulti-Task Deep Learning for Predicting Poverty From Satellite Images / 7793\nShailesh M. Pandey, Tushar Agarwal, Narayanan C. Krishnan\nInvestigating the Role of Ensemble Learning in High-Value Wine Identification / 7799\nLuigi Portinale, Monica Locatelli\nLearning to Become an Expert: Deep Networks Applied to Super-Resolution Microscopy / 7805\nLouis-émile Robitaille, Audrey Durand, Marc-André Gardner, Christian Gagné, Paul De Koninck, Flavie Lavoie-Cardinal\nComputer-Assisted Authoring for Natural Language Story Scripts / 7811\nRushit Sanghrajka, Wojciech Witoń, Sasha Schriber, Markus Gross, Mubbasir Kapadia\nA Water Demand Prediction Model for Central Indiana / 7819\nSetu Shah, Mahmood Hosseini, Zina Ben Miled, Rebecca Shafer, Steve Berube\nTipMaster: A Knowledge Base of Authoritative Local News Sources on Social Media / 7825\nXin Shuai, Xiaomo Liu, Armineh Nourbakhsh, Sameena Shah, Tonya Curtis\nAdapting to Concept Drift in Credit Card Transaction Data Streams Using Contextual Bandits and Decision Trees / 7831\nDennis J. N. J. Soemers, Tim Brys, Kurt Driessens, Mark H. M. Winands, Ann Nowé\nAida: Intelligent Image Analysis to Automatically Detect Poems in Digital Archives of Historic Newspapers / 7837\nLeen-Kiat Soh, Elizabeth Lorang, Yi Liu\nVoC-DL: Revisiting Voice Of Customer Using Deep Learning / 7843\nSusheel Suresh, Guru Rajan T S, Vipin Gopinath\nDarkEmbed: Exploit Prediction with Neural Language Models / 7849\nNazgol Tavabi, Palash Goyal, Mohammed Almukaynizi, Paulo Shakarian, Kristina Lerman\nGesture Annotation with a Visual Search Engine for Multimodal Communication Research / 7855\nSergiy Turchyn, Inés Olza Moreno, Cristóbal Pagán Cánovas, Francis F. Steen, Mark Turner, Javier Valenzuela, Soumya Ray\nMars Target Encyclopedia: Rock and Soil Composition Extracted From the Literature / 7861\nKiri L. Wagstaff, Raymond Francis, Thamme Gowda, You Lu, Ellen Riloff, Karanjeet Singh, Nina L. Lanza\nDeep Mars: CNN Classification of Mars Imagery for the PDS Imaging Atlas / 7867\nKiri L. Wagstaff, You Lu, Alice Stanboli, Kevin Grimes, Thamme Gowda, Jordan Padams\nIs a Picture Worth a Thousand Words? A Deep Multi-Modal Architecture for Product Classification in E-Commerce / 7873\nTom Zahavy, Abhinandan Krishnan, Alessandro Magnani, Shie Mannor\nIAAI18 Technical Track: Challenge Papers\nBatting Order Setup in One Day International Cricket / 7882\nMasoumeh Izadi, Simranjeet Narula\nAI Challenges in Synthetic Biology Engineering / 7884\nEAAI18 Symposium:- Full Papers\nData Analysis Competition Platform for Educational Purposes: Lessons Learned and Future Challenges / 7887\nGesturing and Embodiment in Teaching: Investigating the Nonverbal Behavior of Teachers in a Virtual Rehearsal Environment / 7893\nRoghayeh Barmaki, Charles Hughes\nIntroducing Ethical Thinking About Autonomous Vehicles Into an AI Course / 7900\nHeidi Furey, Fred Martin\nDropout Model Evaluation in MOOCs / 7906\nJoshua Gardner, Christopher Brooks\nInvestigating Active Learning for Concept Prerequisite Learning / 7913\nChen Liang, Jianbo Ye, Shuting Wang, Bart Pursel, C. Lee Giles\nDiagnosing University Student Subject Proficiency and Predicting Degree Completion in Vector Space / 7920\nYuetian Luo, Zachary A. Pardos\nAn E-Learning Recommender That Helps Learners Find the Right Materials / 7928\nBlessing Mbipom, Stewart Massie, Susan Craw\nPredictive Modeling of Learning Continuation in Preschool Education Using Temporal Patterns of Development Tests / 7934\nOn the Importance of a Research Data Archive / 7941\nBenedict Wright, Oliver Brunner, Bernhard Nebel\nEAAI18 Symposium: Poster Papers\nAddressing the Technical, Philosophical, and Ethical Issues of Artificial Intelligence Through Active Learning Class Assignments / 7948\nIntroducing Machine Learning Concepts by Training a Neural Network to Recognize Hand Gestures / 7950\nAlessandro Giusti, David Huber, Luca M. Gambardella\nMighty Thymio for University-Level Educational Robotics / 7952\nJérôme Guzzi, Alessandro Giusti, Gianni A. Di Caro, Luca Maria Gambardella\nA Driving License for Intelligent Systems / 7954\nIntroducing AI to Undergraduate Students via Computer Vision Projects / 7956\nKaiman Zeng, Yancheng Li, Yida Xu, Di Wu, Nansong Wu\nEAAI18 Symposium: Model AI Assignments\nModel AI Assignments 2018 / 7959\nTodd W. Neller, Zack Butler, Nate Derbinsky, Heidi Furey, Fred Martin, Michael Guerzhoy, Ariel Anders, Joshua Eckroth\nClustering - What Both Theoreticians and Practitioners Are Doing Wrong / 7962\nLearning Constraints From Examples / 7965\nLuc De Raedt, Andrea Passerini, Stefano Teso\nComputational Social Choice and Computational Complexity: BFFs? / 7971\nAI Meets Chemistry / 7978\nAkihiro Kishimoto, Beat Buesser, Adi Botea\nLearning Fast and Slow: Levels of Learning in General Autonomous Intelligent Agents / 7983\nJohn E. Laird, Shiwali Mohan\nImagination Machines: A New Challenge for Artificial Intelligence / 7988\nEngineering Pro-Sociality with Autonomous Agents / 7994\nAna Paiva, Fernando P. Santos, Francisco C. Santos\nA Brief History and Recent Achievements in Bidirectional Search / 8000\nNathan R. Sturtevant, Ariel Felner\nFgER: Fine-Grained Entity Recognition / 8008\nAbstraction Sampling in Graphical Models / 8010\nSpatio-Temporal Model for Wildlife Poaching Prediction Evaluated Through a Controlled Field Test in Uganda / 8012\nReasonableness Monitors / 8014\nDecomposition-Based Solving Approaches for Stochastic Constraint Optimisation / 8016\nProbabilistic Planning with Influence Diagrams / 8018\nGuaranteed Plans for Multi-Robot Systems via Optimization Modulo Theories / 8020\nSequential Decision Making in Artificial Musical Intelligence / 8022\nAdaptive and Dynamic Team Formation for Strategic and Tactical Planning / 8024\nComplexity of Optimally Defending and Attacking a Network / 8026\nConstraint Satisfaction Techniques for Combinatorial Problems / 8028\nReading with Robots: Towards a Human-Robot Book Discussion System for Elderly Adults / 8030\nCross-Lingual Learning with Distributed Representations / 8032\nGame-Theoretic Threat Screening and Deceptive Techniques for Cyber Defense / 8034\nHierarchical Methods for a Unified Approach to Discourse, Domain, and Style in Neural Conversational Models / 8036\nEfficiency and Safety in Autonomous Vehicles Through Planning with Uncertainty / 8038\nIdentifying Private Content for Online Image Sharing / 8040\nEnhancing Machine Learning Classification for Electrical Time Series Applications / 8042\nBuilding More Explainable Artificial Intelligence with Argumentation / 8044\nZhiwei Zeng, Chunyan Miao, Cyril Leung, Jing Jih Chin\nPlan-Based Intention Revision / 8047\nAdam Amos-Binks, R. Michael Young\nTraining Autoencoders in Sparse Domain / 8049\nLearning to Detect Pointing Gestures From Wearable IMUs / 8051\nDenis Broggini, Boris Gromov, Alessandro Giusti, Luca Maria Gambardella\nProposition Entailment in Educational Applications Using Deep Neural Networks / 8053\nFlorin Bulgarov, Rodney Nielsen\nConditional Linear Regression / 8055\nDiego Calderon, Brendan Juba, Zongyi Li, Lisa Ruan\nFR-ANet: A Face Recognition Guided Facial Attribute Classification Network / 8057\nJiajiong Cao, Yingming Li, Xi Li, Zhongfei Zhang\nA Stratified Feature Ranking Method for Supervised Feature Selection / 8059\nRenjie Chen, Xiaojun Chen, Guowen Yuan, Wenya Sun, Qingyao Wu\nSelecting Proper Multi-Class SVM Training Methods / 8061\nYawen Chen, Zeyi Wen, Jian Chen, Jin Huang\nNegative-Aware Influence Maximization on Social Networks / 8063\nYipeng Chen, Hongyan Li, Qiang Qu\nVisual Recognition in Very Low-Quality Settings: Delving Into the Power of Pre-Training / 8065\nBowen Cheng, Ding Liu, Zhangyang Wang, Haichao Zhang, Thomas S. Huang\n"Did I Say Something Wrong?": Towards a Safe Collaborative Chatbot / 8067\nMerav Chkroun, Amos Azaria\nPreliminary Results on Exploration-Driven Satisfiability Solving / 8069\nMd Solimul Chowdhury, Martin Müller, Jia-Huai You\nMulti-Label Community-Based Question Classification via Personalized Sequence Memory Network Learning / 8071\nXinyu Duan, Shengyu Zhang, Zhou Zhao, Fei Wu, Yueting Zhuang\nAdversarial Goal Generation for Intrinsic Motivation / 8073\nIshan Durugkar, Peter Stone\nDeep Modeling of Social Relations for Recommendation / 8075\nWenqi Fan, Qing Li, Min Cheng\nLearning Feature Representations for Keyphrase Extraction / 8077\nCorina Florescu, Wei Jin\nA Framework for Evaluating Barriers to the Democratization of Artificial Intelligence / 8079\nAdGAP: Advanced Global Average Pooling / 8081\nEnhancing RNN Based OCR by Transductive Transfer Learning From Text to Images / 8083\nYang He, Jingling Yuan, Lin Li\nBayesian Optimization Meets Search Based Optimization: A Hybrid Approach for Multi-Fidelity Optimization / 8085\nEllis Hoag, Janardhan Rao Doppa\nTowards Experienced Anomaly Detector Through Reinforcement Learning / 8087\nChengqiang Huang, Yulei Wu, Yuan Zuo, Ke Pei, Geyong Min\nDynamic Detection of Communities and Their Evolutions in Temporal Social Networks / 8089\nYaowei Huang, Jinghuan Shang, Bill Y. Lin, Luoyi Fu, Xinbing Wang\nStackReader: An RNN-Free Reading Comprehension Model / 8091\nYibo Jiang, Zhou Zhao\nGenerating Image Captions in Arabic Using Root-Word Based Recurrent Neural Networks and Deep Neural Networks / 8093\nContextual Collaborative Filtering for Student Response Prediction in Mixed-Format Tests / 8095\nShumin Jing, Sheng Li\nLearning Abduction Under Partial Observability / 8097\nIdentifying Emotional Support in Online Health Communities / 8099\nHamed Khanpour, Cornelia Caragea, Prakhar Biyani\nSkyline Computation for Low-Latency Image-Activated Cell Identification / 8101\nConsonant-Vowel Sequences as Subword Units for Code-Mixed Languages / 8103\nUpendra Kumar, Vishal Singh, Chris Andrew, Santhoshini Reddy, Amitava Das\nSentiment Lexicon Enhanced Attention-Based LSTM for Sentiment Classification / 8105\nZeyang Lei, Yujiu Yang, Min Yang\nNuMWVC: A Novel Local Search for Minimum Weighted Vertex Cover Problem / 8107\nRuizhi Li, Shaowei Cai, Shuli Hu, Minghao Yin, Jian Gao\nGenerative Adversarial Network for Abstractive Text Summarization / 8109\nA Novel Embedding Method for News Diffusion Prediction / 8111\nRuoran Liu, Qiudan Li, Can Wang, Lei Wang, Daniel Dajun Zeng\nImitation Upper Confidence Bound for Bandits on a Graph / 8113\nAndrei Lupu, Doina Precup\nSemantic Understanding for Contextual In-Video Advertising / 8115\nRishi Madhok, Shashank Mujumdar, Nitin Gupta, Sameep Mehta\nDecision Making Over Combinatorially-Structured Domains / 8117\nAndrea Martin, K. Brent Venable\nBalancing Lexicographic Fairness and a Utilitarian Objective with Application to Kidney Exchange / 8119\nTowards Neural Speaker Modeling in Multi-Party Conversation: The Task, Dataset, and Models / 8121\nZhao Meng, Lili Mou, Zhi Jin\nExploring the Use of Shatter for AllSAT Through Ramsey-Type Problems / 8123\nConstructing Hierarchical Bayesian Networks with Pooling / 8125\nGoal Recognition in Incomplete Domain Models / 8127\nRamon Fraga Pereira, Felipe Meneguzzi\nPlaying SNES Games with NeuroEvolution of Augmenting Topologies / 8129\nSon Pham, Keyi Zhang, Tung Phan, Jasper Ding, Christopher L. Dancy\nAutomated Question Answering System for Community-Based Questions / 8131\nMemory Management with Explicit Time in Resource-Bounded Agents / 8133\nComparing Reward Shaping, Visual Hints, and Curriculum Learning / 8135\nRey Pocius, David Isele, Mark Roberts, David W. Aha\nAdversary Is the Best Teacher: Towards Extremely Compact Neural Networks / 8137\nAmeya Prabhu, Harish Krishna, Soham Saha\nInfluence Maximization for Social Network Based Substance Abuse Prevention / 8139\nRating Super-Resolution Microscopy Images with Deep Learning / 8141\nPersonalized Human Activity Recognition Using Convolutional Neural Networks / 8143\nSeyed Ali Rokni, Marjan Nourollahi, Hassan Ghasemzadeh\nLifelong Learning Networks: Beyond Single Agent Lifelong Learning / 8145\nMohammad Rostami, Eric Eaton\nPredicting Depression Severity by Multi-Modal Feature Engineering and Fusion / 8147\nAven Samareh, Yan Jin, Zhangyang Wang, Xiangyu Chang, Shuai Huang\nIndirect Reciprocity and Costly Assessment in Multiagent Systems / 8149\nRelating Children’s Automatically Detected Facial Expressions to Their Behavior in RoboTutor / 8151\nMayank Saxena, Rohith Krishnan Pillai, Jack Mostow\nSolving Generalized Column Subset Selection with Heuristic Search / 8153\nSwair Shah, Baokun He, Ke Xu, Crystal Maung, Haim Schweitzer\nTowards Better Variational Encoder-Decoders in Seq2Seq Tasks / 8155\nXiaoyu Shen, Hui Su\nEfficient Support Vector Machine Training Algorithm on GPUs / 8157\nExplainable Cross-Domain Recommendations Through Relational Learning / 8159\nDifferent Cycle, Different Assignment: Diversity in Assignment Problems with Multiple Cycles / 8161\nHelge Spieker, Arnaud Gotlieb, Morten Mossige\nDialogue Generation with GAN / 8163\nHui Su, Xiaoyu Shen, Pengwei Hu, Wenjie Li, Yun Chen\nLabel Space Driven Heterogeneous Transfer Learning with Web Induced Alignment / 8165\nUncovering Scene Context for Predicting Privacy of Online Shared Images / 8167\nAshwini Tonge, Cornelia Caragea, Anna Squicciarini\nA New Benchmark and Evaluation Schema for Chinese Typo Detection and Correction / 8169\nDingmin Wang, Gabriel Pui Cheong Fung, Maxime Debosschere, Shichao Dong, Jia Zhu, Kam-Fai Wong\nExploring Relevance Judgement Inspired by Quantum Weak Measurement / 8171\nTianshu Wang, Yuexian Hou, Panpan Wang, Xiaolei Niu\nDeep Embedding for Determining the Number of Clusters / 8173\nYiqi Wang, Zhan Shi, Xifeng Guo, Xinwang Liu, En Zhu, Jianping Yin\nFast Approximate Nearest Neighbor Search via k-Diverse Nearest Neighbor Graph / 8175\nYan Xiao, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng\nDiscriminative Semi-Supervised Feature Selection via Rescaled Least Squares Regression-Supplement / 8177\nGuowen Yuan, Xiaojun Chen, Chen Wang, Feiping Nie, Liping Jing\nPath-Based Attention Neural Model for Fine-Grained Entity Typing / 8179\nDenghui Zhang, Manling Li, Pengshan Cai, Yantao Jia, Yuanzhuo Wang\nLearning Attention Model From Human for Visuomotor Tasks / 8181\nLuxin Zhang, Ruohan Zhang, Zhuode Liu, Mary M. Hayhoe, Dana H. Ballard\nBayesian Network Structure Learning: The Two-Step Clustering-Based Algorithm / 8183\nYikun Zhang, Jiming Liu, Yang Liu\nA Semi-Supervised Network Embedding Model for Protein Complexes Detection / 8185\nWei Zhao, Jia Zhu, Min Yang, Danyang Xiao, Gabriel Pui Cheong Fung, Xiaojun Chen\nVariance Reduced K-Means Clustering / 8187\nYawei Zhao, Yuewei Ming, Xinwang Liu, En Zhu, Jianping Yin\nJoint Learning of Evolving Links for Dynamic Network Embedding / 8189\nAakas Zhiyuli, Xun Liang, YanFang Chen, Peng Shu, Xiaoping Zhou\nGenerative Adversarial Networks and Probabilistic Graph Models for Hyperspectral Image Classification / 8191\nInteractive Machine Learning at Scale with CHISSL / 8194\nDustin Arendt, Emily Grace, Svitlana Volkova\nLookine: Let the Blind Hear a Smile / 8196\nWater Advisor - A Data-Driven, Multi-Modal, Contextual Assistant to Help with Water Usage Decisions / 8198\nJason Ellis, Biplav Srivastava, Rachel K. E. Bellamy, Andy Aaron\nA Unified Implicit Dialog Framework for Conversational Commerce / 8200\nSong Feng, R. Chulaka Gunasekara, Sunil Shashidhara, Kshitij P. Fadnis, Lazaros C. Polymenakos\nVertical Domain Text Classification: Towards Understanding IT Tickets Using Deep Neural Networks / 8202\nJianglei Han, Mohammad Akbari\nConstructing Domain-Specific Search Engines with No Programming / 8204\nMayank Kejriwal, Pedro Szekely\nA Cognitive Assistant for Visualizing and Analyzing Exoplanets / 8206\nJeffrey O. Kephart, Victor C. Dibia, Jason Ellis, Biplav Srivastava, Kartik Talamadupula, Mishal Dholakia\nPerception-Action-Learning System for Mobile Social-Service Robots Using Deep Learning / 8208\nBeom-Jin Lee, Jinyoung Choi, Chung-Yeon Lee, Kyung-Wha Park, Sungjun Choi, Cheolho Han, Dong-Sig Han, Christina Baek, Patrick Mokodir Emaase, Byoung-Tak Zhang\nAgent Assist: Automating Enterprise IT Support Help Desks / 8210\nDataset Evolver: An Interactive Feature Engineering Notebook / 8212\nFatemeh Nargesian, Udayan Khurana, Tejaswini Pedapati, Horst Samulowitz, Deepak Turaga\nPegasusN: A Scalable and Versatile Graph Mining System / 8214\nHa-Myung Park, Chiwan Park, U Kang\nBaitBuster: A Clickbait Identification Framework / 8216\nMd Main Uddin Rony, Naeemul Hassan, Mohammad Yousuf\nDemocratization of Deep Learning Using DARVIZ / 8218\nAnush Sankaran, Naveen Panwar, Shreya Khare, Senthil Mani, Akshay Sethi, Rahul Aralikatte, Neelamadhav Gantayat\nLearning an Image-Based Obstacle Detector with Automatic Acquisition of Training Data / 8220\nStefano Toniolo, Jérôme Guzzi, Luca Maria Gambardella, Alessandro Giusti\nMAgent: A Many-Agent Reinforcement Learning Platform for Artificial Collective Intelligence / 8222\nLianmin Zheng, Jiacheng Yang, Han Cai, Ming Zhou, Weinan Zhang, Jun Wang, Yong Yu