default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID32nd AAAI 2018: New Orleans, LA, USA
- Sheila A. McIlraith, Kilian Q. Weinberger:
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, (AAAI-18), the 30th innovative Applications of Artificial Intelligence (IAAI-18), and the 8th AAAI Symposium on Educational Advances in Artificial Intelligence (EAAI-18), New Orleans, Louisiana, USA, February 2-7, 2018. AAAI Press 2018
AAAI18 - Applications
- Xiaohui Bei
, Shengyu Zhang:
Algorithms for Trip-Vehicle Assignment in Ride-Sharing. 3-9 - Pin-Yu Chen, Yash Sharma, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh:
EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples. 10-17 - Jonathan Chung, Moshe Eizenman, Uros Rakita, Roger S. McIntyre, Peter Giacobbe:
Learning Differences Between Visual Scanning Patterns Can Disambiguate Bipolar and Unipolar Patients. 18-25 - Bolin Ding, Harsha Nori, Paul Li, Joshua Allen:
Comparing Population Means Under Local Differential Privacy: With Significance and Power. 26-33 - Hao-Wen Dong, Wen-Yi Hsiao, Li-Chia Yang, Yi-Hsuan Yang:
MuseGAN: Multi-track Sequential Generative Adversarial Networks for Symbolic Music Generation and Accompaniment. 34-41 - Ahmed Elgammal, Yan Kang, Milko Den Leeuw:
Picasso, Matisse, or a Fake? Automated Analysis of Drawings at the Stroke Level for Attribution and Authentication. 42-50 - Nina Grgic-Hlaca, Muhammad Bilal Zafar, Krishna P. Gummadi, Adrian Weller:
Beyond Distributive Fairness in Algorithmic Decision Making: Feature Selection for Procedurally Fair Learning. 51-60 - Weixiang Hong, Jingjing Meng, Junsong Yuan:
Distributed Composite Quantization. 61-68 - Weixiang Hong, Jingjing Meng, Junsong Yuan:
Tensorized Projection for High-Dimensional Binary Embedding. 69-76 - Xin Jin, Le Wu, Xiaodong Li, Siyu Chen, Siwei Peng, Jingying Chi, Shiming Ge, Chenggen Song, Geng Zhao:
Predicting Aesthetic Score Distribution Through Cumulative Jensen-Shannon Divergence. 77-84 - Daniel Kasenberg, Matthias Scheutz:
Norm Conflict Resolution in Stochastic Domains. 85-92 - Zhuo Li, Hongwei Wang, Miao Zhao, Wenjie Li, Minyi Guo:
Deep Representation-Decoupling Neural Networks for Monaural Music Mixture Separation. 93-100 - Bin Liu, Ying Li, Zhaonan Sun, Soumya Ghosh, Kenney Ng:
Early Prediction of Diabetes Complications from Electronic Health Records: A Multi-Task Survival Analysis Approach. 101-108 - Luchen Liu, Jianhao Shen, Ming Zhang, Zichang Wang, Jian Tang:
Learning the Joint Representation of Heterogeneous Temporal Events for Clinical Endpoint Prediction. 109-116 - Ye Liu, Lifang He, Bokai Cao, Philip S. Yu, Ann B. Ragin, Alex D. Leow:
Multi-View Multi-Graph Embedding for Brain Network Clustering Analysis. 117-124 - Jian Lou, Yiu-ming Cheung:
Uplink Communication Efficient Differentially Private Sparse Optimization With Feature-Wise Distributed Data. 125-133 - Maggie Makar, John V. Guttag, Jenna Wiens:
Learning the Probability of Activation in the Presence of Latent Spreaders. 134-141 - Taiki Miyanishi, Junichiro Hirayama, Takuya Maekawa, Motoaki Kawanabe:
Generating an Event Timeline About Daily Activities From a Semantic Concept Stream. 142-150 - Chih-Ya Shen, Cedric Parfait Kankeu Fotsing, De-Nian Yang, Yi-Shin Chen, Wang-Chien Lee:
On Organizing Online Soirees with Live Multi-Streaming. 151-159 - Shirin Sohrabi, Anton V. Riabov, Michael Katz, Octavian Udrea:
An AI Planning Solution to Scenario Generation for Enterprise Risk Management. 160-167 - Youyi Song, Jing Qin, Baiying Lei, Kup-Sze Choi:
Automated Segmentation of Overlapping Cytoplasm in Cervical Smear Images via Contour Fragments. 168-175 - Shaojie Tang:
When Social Advertising Meets Viral Marketing: Sequencing Social Advertisements for Influence Maximization. 176-183 - Shantanu Thakoor, Simoni Shah, Ganesh Ramakrishnan, Amitabha Sanyal:
Synthesis of Programs from Multimodal Datasets. 184-191 - Jingyuan Wang, Xu He, Ze Wang, Junjie Wu, Nicholas Jing Yuan, Xing Xie, Zhang Xiong:
CD-CNN: A Partially Supervised Cross-Domain Deep Learning Model for Urban Resident Recognition. 192-199 - Leye Wang, Gehua Qin, Dingqi Yang, Xiao Han, Xiaojuan Ma:
Geographic Differential Privacy for Mobile Crowd Coverage Maximization. 200-207 - Xinrun Wang, Bo An, Martin Strobel, Fookwai Kong:
Catching Captain Jack: Efficient Time and Space Dependent Patrols to Combat Oil-Siphoning in International Waters. 208-215 - Huawei Wei, Bingbing Ni, Yichao Yan, Huanyu Yu, Xiaokang Yang, Chen Yao:
Video Summarization via Semantic Attended Networks. 216-223 - Ziwei Zhang, Peng Cui, Jian Pei, Xiao Wang, Wenwu Zhu:
TIMERS: Error-Bounded SVD Restart on Dynamic Networks. 224-231 - Huan Zhao, Xiaogang Xu, Yangqiu Song, Dik Lun Lee, Zhao Chen, Han Gao:
Ranking Users in Social Networks With Higher-Order Structures. 232-240
AAAI18 - Artificial Intelligence and the Web
- Rediet Abebe, Lada A. Adamic, Jon M. Kleinberg:
Mitigating Overexposure in Viral Marketing. 241-248 - Xuezhi Cao, Haokun Chen, Xuejian Wang, Weinan Zhang, Yong Yu:
Neural Link Prediction over Aligned Networks. 249-256 - Chaochao Chen, Ziqi Liu, Peilin Zhao, Jun Zhou, Xiaolong Li:
Privacy Preserving Point-of-Interest Recommendation Using Decentralized Matrix Factorization. 257-264 - Qin Chen, Qinmin Hu, Jimmy Xiangji Huang, Liang He:
CA-RNN: Using Context-Aligned Recurrent Neural Networks for Modeling Sentence Similarity. 265-273 - Zhen-Duo Chen, Wan-Jin Yu, Chuan-Xiang Li, Liqiang Nie, Xin-Shun Xu:
Dual Deep Neural Networks Cross-Modal Hashing. 274-281 - Rui Feng, Yang Yang, Wenjie Hu, Fei Wu, Yueting Zhang:
Representation Learning for Scale-Free Networks. 282-289 - Guibing Guo, Songlin Zhai, Fajie Yuan, Yuan Liu, Xingwei Wang:
VSE-ens: Visual-Semantic Embeddings with Efficient Negative Sampling. 290-297 - Jun Guo, Wenwu Zhu:
Partial Multi-View Outlier Detection Based on Collective Learning. 298-305 - Dongxiao He, Xinxin You, Zhiyong Feng, Di Jin, Xue Yang, Weixiong Zhang:
A Network-Specific Markov Random Field Approach to Community Detection. 306-313 - Di Jin, Xiaobao Wang, Ruifang He, Dongxiao He, Jianwu Dang, Weixiong Zhang:
Robust Detection of Link Communities in Large Social Networks by Exploiting Link Semantics. 314-321 - Tomasz Kusmierczyk, Kjetil Nørvåg:
On Validation and Predictability of Digital Badges' Influence on Individual Users. 322-329 - Xiaoming Li, Hui Fang, Jie Zhang:
FILE: A Novel Framework for Predicting Social Status in Signed Networks. 330-337 - Ye Li, Chaofeng Sha, Xin Huang, Yanchun Zhang:
Community Detection in Attributed Graphs: An Embedding Approach. 338-345 - Chun-Yi Liu, Chuan Zhou, Jia Wu, Yue Hu, Li Guo:
Social Recommendation with an Essential Preference Space. 346-353 - Yang Liu, Yi-fang Brook Wu:
Early Detection of Fake News on Social Media Through Propagation Path Classification with Recurrent and Convolutional Networks. 354-361 - Xusheng Luo, Kangqi Luo, Xianyang Chen, Kenny Q. Zhu:
Cross-Lingual Entity Linking for Web Tables. 362-369 - Jianxin Ma, Peng Cui, Wenwu Zhu:
DepthLGP: Learning Embeddings of Out-of-Sample Nodes in Dynamic Networks. 370-377 - Brian McMahan, Delip Rao:
Listening to the World Improves Speech Command Recognition. 378-385 - Wei Niu, James Caverlee, Haokai Lu:
Location-Sensitive User Profiling Using Crowdsourced Labels. 386-393 - Jingkuan Song, Tao He, Lianli Gao, Xing Xu, Alan Hanjalic, Heng Tao Shen:
Binary Generative Adversarial Networks for Image Retrieval. 394-401 - Jingkuan Song, Tao He, Lianli Gao, Xing Xu, Heng Tao Shen:
Deep Region Hashing for Generic Instance Search from Images. 402-409 - Kai Song, Yue Zhang, Min Zhang, Weihua Luo:
Improved English to Russian Translation by Neural Suffix Prediction. 410-417 - Bing-Jie Sun, Huawei Shen, Jinhua Gao, Wentao Ouyang, Xueqi Cheng:
Towards Efficient Detection of Overlapping Communities in Massive Networks. 418-425 - Ke Tu, Peng Cui, Xiao Wang, Fei Wang, Wenwu Zhu:
Structural Deep Embedding for Hyper-Networks. 426-433 - Chao Wang, Qi Liu, Run-ze Wu, Enhong Chen, Chuanren Liu, Xunpeng Huang, Zhenya Huang:
Confidence-Aware Matrix Factorization for Recommender Systems. 434-442 - Daixin Wang, Peng Cui, Wenwu Zhu:
Deep Asymmetric Transfer Network for Unbalanced Domain Adaptation. 443-450 - Jingang Wang, Junfeng Tian, Long Qiu, Sheng Li, Jun Lang, Luo Si, Man Lan:
A Multi-Task Learning Approach for Improving Product Title Compression with User Search Log Data. 451-458 - Keqiang Wang, Yuanyuan Jin, Haofen Wang, Hongwei Peng, Xiaoling Wang:
Personalized Time-Aware Tag Recommendation. 459-466 - Yu Wang, Jixing Xu, Aohan Wu, Mantian Li, Yang He, Jinghe Hu, Weipeng P. Yan:
Telepath: Understanding Users from a Human Vision Perspective in Large-Scale Recommender Systems. 467-474 - Zheng Wang, Xiaojun Ye, Chaokun Wang, Yuexin Wu, Changping Wang, Kaiwen Liang:
RSDNE: Exploring Relaxed Similarity and Dissimilarity from Completely-Imbalanced Labels for Network Embedding. 475-482 - Shaobin Xu, David A. Smith:
Contrastive Training for Models of Information Cascades. 483-490 - Jufeng Yang, Dongyu She, Yu-Kun Lai, Ming-Hsuan Yang:
Retrieving and Classifying Affective Images via Deep Metric Learning. 491-498 - Liang Yang, Yuanfang Guo, Xiaochun Cao:
Multi-Facet Network Embedding: Beyond the General Solution of Detection and Representation. 499-506 - Yang Yang, Chenhao Tan, Zongtao Liu, Fei Wu, Yueting Zhuang:
Urban Dreams of Migrants: A Case Study of Migrant Integration in Shanghai. 507-514 - Zhiyong Yang, Qianqian Xu, Xiaochun Cao, Qingming Huang:
From Common to Special: When Multi-Attribute Learning Meets Personalized Opinions. 515-522 - Yazhou Yao, Jian Zhang, Fumin Shen, Wankou Yang, Pu Huang, Zhenmin Tang:
Discovering and Distinguishing Multiple Visual Senses for Polysemous Words. 523-530 - Chao Zhang, Mengxiong Liu, Zhengchao Liu, Carl Yang, Luming Zhang, Jiawei Han:
Spatiotemporal Activity Modeling Under Data Scarcity: A Graph-Regularized Cross-Modal Embedding Approach. 531-538 - Jian Zhang, Yuxin Peng, Mingkuan Yuan:
Unsupervised Generative Adversarial Cross-Modal Hashing. 539-546 - Weinan Zhang, Lingzhi Li, Dongyan Cao, Ting Liu:
Exploring Implicit Feedback for Open Domain Conversation Generation. 547-554 - Zhirui Zhang, Shujie Liu, Mu Li, Ming Zhou, Enhong Chen:
Joint Training for Neural Machine Translation Models with Monolingual Data. 555-562 - Shenjian Zhao, Zhihua Zhang:
Attention-via-Attention Neural Machine Translation. 563-570 - Le-kui Zhou, Yang Yang, Xiang Ren, Fei Wu, Yueting Zhuang:
Dynamic Network Embedding by Modeling Triadic Closure Process. 571-578 - Suping Zhou, Jia Jia, Qi Wang, Yufei Dong, Yufeng Yin, Kehua Lei:
Inferring Emotion from Conversational Voice Data: A Semi-Supervised Multi-Path Generative Neural Network Approach. 579-587
AAAI18 - Cognitive Modeling
- Alireza Alemi, Christian K. Machens, Sophie Denève, Jean-Jacques E. Slotine:
Learning Nonlinear Dynamics in Efficient, Balanced Spiking Networks Using Local Plasticity Rules. 588-595 - S. Hamidreza Kasaei, Juil Sock, Luís Seabra Lopes, Ana Maria Tomé, Tae-Kyun Kim:
Perceiving, Learning, and Recognizing 3D Objects: An Approach to Cognitive Service Robots. 596-603 - Weikang Li, Wei Li, Yunfang Wu:
A Unified Model for Document-Based Question Answering Based on Human-Like Reading Strategy. 604-611 - Joshua H. Palmer, Maithilee Kunda:
Thinking in PolAR Pictures: Using Rotation-Friendly Mental Images to Solve Leiter-R Form Completion. 612-619 - Tielin Zhang, Yi Zeng, Dongcheng Zhao, Mengting Shi:
A Plasticity-Centric Approach to Train the Non-Differential Spiking Neural Networks. 620-628
AAAI18 - Cognitive Systems
- Somak Aditya, Yezhou Yang, Chitta Baral:
Explicit Reasoning over End-to-End Neural Architectures for Visual Question Answering. 629-637 - Kezhen Chen, Kenneth D. Forbus:
Action Recognition From Skeleton Data via Analogical Generalization Over Qualitative Representations. 638-645 - Konstantina Christakopoulou, Adam Tauman Kalai:
Glass-Box Program Synthesis: A Machine Learning Approach. 646-653 - Maxwell Crouse, Clifton James McFate, Kenneth D. Forbus:
Learning From Unannotated QA Pairs to Analogically Disambiguate and Answer Questions. 654-662 - Zhenxin Fu, Xiaoye Tan, Nanyun Peng, Dongyan Zhao, Rui Yan:
Style Transfer in Text: Exploration and Evaluation. 663-670 - Xiaolong Gong, Hao Xu, Linpeng Huang:
HAN: Hierarchical Association Network for Computing Semantic Relatedness. 671-678 - Christopher W. Lynn, Daniel D. Lee:
Maximizing Activity in Ising Networks via the TAP Approximation. 679-686 - Wenjun Ma, Yuncheng Jiang, Weiru Liu, Xudong Luo, Kevin McAreavey:
Expected Utility with Relative Loss Reduction: A Unifying Decision Model for Resolving Four Well-Known Paradoxes. 687-695 - Amrita Saha, Mitesh M. Khapra, Karthik Sankaranarayanan:
Towards Building Large Scale Multimodal Domain-Aware Conversation Systems. 696-704 - Amrita Saha, Vardaan Pahuja, Mitesh M. Khapra, Karthik Sankaranarayanan, Sarath Chandar:
Complex Sequential Question Answering: Towards Learning to Converse Over Linked Question Answer Pairs with a Knowledge Graph. 705-713 - Snejana Shegheva, Ashok K. Goel:
The Structural Affinity Method for Solving the Raven's Progressive Matrices Test for Intelligence. 714-721 - Chongyang Tao, Lili Mou, Dongyan Zhao, Rui Yan:
RUBER: An Unsupervised Method for Automatic Evaluation of Open-Domain Dialog Systems. 722-729 - Hao Zhou, Minlie Huang, Tianyang Zhang, Xiaoyan Zhu, Bing Liu:
Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory. 730-739
AAAI18 - Computational Sustainability and AI
- Nipun Batra, Yiling Jia, Hongning Wang, Kamin Whitehouse:
Transferring Decomposed Tensors for Scalable Energy Breakdown Across Regions. 740-747 - Johan Bjorck, Yiwei Bai, Xiaojian Wu, Yexiang Xue, Mark C. Whitmore, Carla P. Gomes:
Scalable Relaxations of Sparse Packing Constraints: Optimal Biocontrol in Predator-Prey Networks. 748-756 - Haipeng Chen, Bo An, Guni Sharon, Josiah P. Hanna, Peter Stone, Chunyan Miao, Yeng Chai Soh:
DyETC: Dynamic Electronic Toll Collection for Traffic Congestion Alleviation. 757-765 - Sandeep Chinchali, Pan Hu, Tianshu Chu, Manu Sharma, Manu Bansal, Rakesh Misra, Marco Pavone, Sachin Katti:
Cellular Network Traffic Scheduling With Deep Reinforcement Learning. 766-774 - Supriyo Ghosh, Pradeep Varakantham:
Dispatch Guided Allocation Optimization for Effective Emergency Response. 775-783 - Renhe Jiang, Xuan Song, Zipei Fan, Tianqi Xia, Quanjun Chen, Satoshi Miyazawa, Ryosuke Shibasaki:
DeepUrbanMomentum: An Online Deep-Learning System for Short-Term Urban Mobility Prediction. 784-791 - Henning Lange, Mario Berges:
Variational BOLT: Approximate Learning in Factorial Hidden Markov Models With Application to Energy Disaggregation. 792-799 - Hongbin Pei, Bo Yang, Jiming Liu, Lei Dong:
Group Sparse Bayesian Learning for Active Surveillance on Epidemic Dynamics. 800-807 - Eugene Seo, Rebecca A. Hutchinson:
Predicting Links in Plant-Pollinator Interaction Networks Using Latent Factor Models With Implicit Feedback. 808-815 - Zhourui Song, Zhenyu Liu, Dongsheng Wang:
Computation Error Analysis of Block Floating Point Arithmetic Oriented Convolution Neural Network Accelerator Design. 816-823 - Luming Tang, Yexiang Xue, Di Chen, Carla P. Gomes:
Multi-Entity Dependence Learning With Rich Context via Conditional Variational Auto-Encoder. 824-832 - Wanyuan Wang, Bo An, Yichuan Jiang:
Optimal Spot-Checking for Improving Evaluation Accuracy of Peer Grading Systems. 833-840 - Bryan Wilder, Sze-Chuan Suen, Milind Tambe:
Preventing Infectious Disease in Dynamic Populations Under Uncertainty. 841-848 - Xiaojian Wu, Jonathan Gomes-Selman, Qinru Shi, Yexiang Xue, Roosevelt García-Villacorta, Elizabeth Anderson, Suresh Sethi, Scott Steinschneider, Alexander Flecker, Carla P. Gomes:
Efficiently Approximating the Pareto Frontier: Hydropower Dam Placement in the Amazon Basin. 849-859
AAAI18 - Game Playing and Interactive Entertainment
- Serge Gaspers, Stefan Rümmele, Abdallah Saffidine, Kevin Tran:
Minesweeper with Limited Moves. 860-867 - Lara J. Martin, Prithviraj Ammanabrolu, Xinyu Wang, William Hancock, Shruti Singh, Brent Harrison, Mark O. Riedl:
Event Representations for Automated Story Generation with Deep Neural Nets. 868-875 - Rubens O. Moraes, Levi H. S. Lelis:
Asymmetric Action Abstractions for Multi-Unit Control in Adversarial Real-Time Games. 876-883 - Nicholas Sohre, Moses Adeagbo, Nathaniel Helwig, Sofia Lyford-Pike, Stephen J. Guy:
PVL: A Framework for Navigating the Precision-Variety Trade-Off in Automated Animation of Smiles. 884-893
AAAI18 - Game Theory and Economic Paradigms
- Ben Abramowitz, Elliot Anshelevich:
Utilitarians Without Utilities: Maximizing Social Welfare for Graph Problems Using Only Ordinal Preferences. 894-901 - Haris Aziz, Edith Elkind, Shenwei Huang, Martin Lackner, Luis Sánchez Fernández, Piotr Skowron:
On the Complexity of Extended and Proportional Justified Representation. 902-909 - Haris Aziz, Pang Luo, Christine Rizkallah:
Rank Maximal Equal Contribution: A Probabilistic Social Choice Function. 910-916 - Siddharth Barman, Arpita Biswas, Sanath Kumar Krishna Murthy, Yadati Narahari:
Groupwise Maximin Fair Allocation of Indivisible Goods. 917-924 - Umang Bhaskar, Varsha Dani, Abheek Ghosh:
Truthful and Near-Optimal Mechanisms for Welfare Maximization in Multi-Winner Elections. 925-932 - Robert Bredereck, Piotr Faliszewski, Ayumi Igarashi, Martin Lackner, Piotr Skowron:
Multiwinner Elections With Diversity Constraints. 933-940 - Gianluca Brero, Sébastien Lahaie:
A Bayesian Clearing Mechanism for Combinatorial Auctions. 941-948 - Neil Burch, Martin Schmid, Matej Moravcik, Dustin Morrill, Michael Bowling:
AIVAT: A New Variance Reduction Technique for Agent Evaluation in Imperfect Information Games. 949-956 - Qingpeng Cai, Aris Filos-Ratsikas, Pingzhong Tang, Yiwei Zhang:
Reinforcement Mechanism Design for Fraudulent Behaviour in e-Commerce. 957-964 - Andrea Celli, Nicola Gatti:
Computational Results for Extensive-Form Adversarial Team Games. 965-972 - Yu Cheng, Shaddin Dughmi, David Kempe:
On the Distortion of Voting With Multiple Representative Candidates. 973-980 - Yuan Deng, Vincent Conitzer:
Disarmament Games With Resource. 981-988 - Giuseppe De Nittis, Alberto Marchesi, Nicola Gatti:
Computing the Strategy to Commit to in Polymatrix Games. 989-996 - Swapnil Dhamal, Walid Ben-Ameur, Tijani Chahed, Eitan Altman:
Resource Allocation Polytope Games: Uniqueness of Equilibrium, Price of Stability, and Price of Anarchy. 997-1006 - John P. Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Pan Xu:
Allocation Problems in Ride-Sharing Platforms: Online Matching With Offline Reusable Resources. 1007-1014 - Janosch Döcker, Britta Dorn, Ulle Endriss, Ronald de Haan, Sebastian Schneckenburger:
Tool Auctions. 1015-1022 - Piotr Faliszewski, Martin Lackner, Dominik Peters, Nimrod Talmon:
Effective Heuristics for Committee Scoring Rules. 1023-1030 - Michele Flammini, Manuel Mauro, Matteo Tonelli:
On Social Envy-Freeness in Multi-Unit Markets. 1031-1038 - Chi Kit Ken Fong, Minming Li, Pinyan Lu, Taiki Todo, Makoto Yokoo:
Facility Location Games With Fractional Preferences. 1039-1046 - Umberto Grandi, James Stewart, Paolo Turrini:
The Complexity of Bribery in Network-Based Rating Systems. 1047-1054 - Nika Haghtalab, Ritesh Noothigattu, Ariel D. Procaccia:
Weighted Voting Via No-Regret Learning. 1055-1062 - Ayumi Igarashi, Rani Izsak, Edith Elkind:
Cooperative Games With Bounded Dependency Degree. 1063-1070 - Rani Izsak, Nimrod Talmon, Gerhard J. Woeginger:
Committee Selection with Intraclass and Interclass Synergies. 1071-1078 - Florian Jaeckle, Dominik Peters, Edith Elkind:
On Recognising Nearly Single-Crossing Preferences. 1079-1086 - Anson Kahng, Yasmine Kotturi, Chinmay Kulkarni, David Kurokawa, Ariel D. Procaccia:
Ranking Wily People Who Rank Each Other. 1087-1094 - Anson Kahng, Simon Mackenzie, Ariel D. Procaccia:
Liquid Democracy: An Algorithmic Perspective. 1095-1102 - Nitin Kamra, Umang Gupta, Fei Fang, Yan Liu, Milind Tambe:
Policy Learning for Continuous Space Security Games Using Neural Networks. 1103-1112 - Yasushi Kawase, Atsushi Iwasaki:
Approximately Stable Matchings With Budget Constraints. 1113-1120 - Orgad Keller, Avinatan Hassidim, Noam Hazon:
Approximating Bribery in Scoring Rules. 1121-1129 - Christian Kroer, Gabriele Farina, Tuomas Sandholm:
Robust Stackelberg Equilibria in Extensive-Form Games and Extension to Limited Lookahead. 1130-1137 - Jing Wu Lian, Nicholas Mattei, Renee Noble, Toby Walsh:
The Conference Paper Assignment Problem: Using Order Weighted Averages to Assign Indivisible Goods. 1138-1145 - Yang Liu, Chien-Ju Ho:
Incentivizing High Quality User Contributions: New Arm Generation in Bandit Learning. 1146-1153 - Zhengyang Liu, Ying Sheng:
On the Approximation of Nash Equilibria in Sparse Win-Lose Games. 1154-1160 - Duncan C. McElfresh, John P. Dickerson:
Balancing Lexicographic Fairness and a Utilitarian Objective With Application to Kidney Exchange. 1161-1168 - Dominik Peters:
Single-Peakedness and Total Unimodularity: New Polynomial-Time Algorithms for Multi-Winner Elections. 1169-1176 - Ariel D. Procaccia, Rodrigo A. Velez, Dingli Yu:
Fair Rent Division on a Budget. 1177-1184 - Ariel D. Procaccia, David Wajc, Hanrui Zhang:
Approximation-Variance Tradeoffs in Facility Location Games. 1185-1192 - Erel Segal-Halevi, Avinatan Hassidim, Yonatan Aumann:
MUDA: A Truthful Multi-Unit Double-Auction Mechanism. 1193-1201 - Guni Sharon, Michael Albert, Tarun Rambha, Stephen D. Boyles, Peter Stone:
Traffic Optimization for a Mixture of Self-Interested and Compliant Agents. 1202-1209 - Weiran Shen, Pingzhong Tang, Yuan Deng:
Coalition Manipulation of Gale-Shapley Algorithm. 1210-1217 - Oskar Skibski, Jadwiga Sosnowska:
Axioms for Distance-Based Centralities. 1218-1225 - Omer Tamuz, Shai Vardi, Juba Ziani:
Non-Exploitable Protocols for Repeated Cake Cutting. 1226-1233 - Zoi Terzopoulou, Ulle Endriss:
Modelling Iterative Judgment Aggregation. 1234-1241 - Nicolas Troquard:
Rich Coalitional Resource Games. 1242-1249 - Dmitry Ulyanov, Andrea Vedaldi, Victor S. Lempitsky:
It Takes (Only) Two: Adversarial Generator-Encoder Networks. 1250-1257 - Tomasz Was, Oskar Skibski:
An Axiomatization of the Eigenvector and Katz Centralities. 1258-1265 - Bryce Wiedenbeck, Fengjun Yang, Michael P. Wellman:
A Regression Approach for Modeling Games With Many Symmetric Players. 1266-1273 - Bryan Wilder:
Equilibrium Computation and Robust Optimization in Zero Sum Games With Submodular Structure. 1274-1281 - Jens Witkowski, Rupert Freeman, Jennifer Wortman Vaughan, David M. Pennock, Andreas Krause:
Incentive-Compatible Forecasting Competitions. 1282-1289 - Haifeng Xu, Kai Wang, Phebe Vayanos, Milind Tambe:
Strategic Coordination of Human Patrollers and Mobile Sensors With Signaling for Security Games. 1290-1297 - Jie Zhang:
Average-Case Approximation Ratio of Scheduling Without Payments. 1298-1305
AAAI18 - Heuristic Search and Optimization
- Bence Cserna, William J. Doyle, Jordan S. Ramsdell, Wheeler Ruml:
Avoiding Dead Ends in Real-Time Heuristic Search. 1306-1313 - Hiroyuki Hanada, Atsushi Shibagaki, Jun Sakuma, Ichiro Takeuchi:
Efficiently Monitoring Small Data Modification Effect for Large-Scale Learning in Changing Environment. 1314-1321 - David Hemmi, Guido Tack, Mark Wallace:
A Recursive Scenario Decomposition Algorithm for Combinatorial Multistage Stochastic Optimisation Problems. 1322-1329 - Xiangjie Hu, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin:
Locality Preserving Projection Based on F-norm. 1330-1337 - Hua Jiang, Chu-Min Li, Yanli Liu, Felip Manyà:
A Two-Stage MaxSAT Reasoning Approach for the Maximum Weight Clique Problem. 1338-1346 - Shunji Lin, Alex Fukunaga:
Revisiting Immediate Duplicate Detection in External Memory Search. 1347-1354 - Marius Lindauer, Frank Hutter:
Warmstarting of Model-Based Algorithm Configuration. 1355-1362 - Andrei Lissovoi, Pietro S. Oliveto:
On the Time and Space Complexity of Genetic Programming for Evolving Boolean Conjunctions. 1363-1370 - Risheng Liu, Xin Fan, Shichao Cheng, Xiangyu Wang, Zhongxuan Luo:
Proximal Alternating Direction Network: A Globally Converged Deep Unrolling Framework. 1371-1378 - Baharan Mirzasoleiman, Stefanie Jegelka, Andreas Krause:
Streaming Non-Monotone Submodular Maximization: Personalized Video Summarization on the Fly. 1379-1386 - Atsushi Miyauchi, Tomohiro Sonobe, Noriyoshi Sukegawa:
Exact Clustering via Integer Programming and Maximum Satisfiability. 1387-1394 - Chao Qian, Yibo Zhang, Ke Tang, Xin Yao:
On Multiset Selection With Size Constraints. 1395-1402 - Mohammad Raza, Sumit Gulwani:
Disjunctive Program Synthesis: A Robust Approach to Programming by Example. 1403-1412 - Shinsaku Sakaue, Masakazu Ishihata:
Accelerated Best-First Search With Upper-Bound Computation for Submodular Function Maximization. 1413-1421 - Shinsaku Sakaue, Masaaki Nishino, Norihito Yasuda:
Submodular Function Maximization Over Graphs via Zero-Suppressed Binary Decision Diagrams. 1422-1430 - Topi Talvitie, Kustaa Kangas, Teppo Mikael Niinimäki, Mikko Koivisto:
Counting Linear Extensions in Practice: MCMC Versus Exponential Monte Carlo. 1431-1438 - Di Wang, Jinhui Xu:
Large Scale Constrained Linear Regression Revisited: Faster Algorithms via Preconditioning. 1439-1446 - Hong Wang, Hong Qian, Yang Yu:
Noisy Derivative-Free Optimization With Value Suppression. 1447-1454 - Chenjun Xiao, Jincheng Mei, Martin Müller:
Memory-Augmented Monte Carlo Tree Search. 1455-1462
AAAI18 - Human-AI Collaboration
- Gagan Bansal, Daniel S. Weld:
A Coverage-Based Utility Model for Identifying Unknown Unknowns. 1463-1470 - Bar Hilleli, Ran El-Yaniv:
Toward Deep Reinforcement Learning Without a Simulator: An Autonomous Steering Example. 1471-1478 - Ashish Kulkarni, Narasimha Raju Uppalapati, Pankaj Singh, Ganesh Ramakrishnan:
An Interactive Multi-Label Consensus Labeling Model for Multiple Labeler Judgments. 1479-1486 - Aaron Mininger, John E. Laird:
Interactively Learning a Blend of Goal-Based and Procedural Tasks. 1487-1494 - Igor Mordatch, Pieter Abbeel:
Emergence of Grounded Compositional Language in Multi-Agent Populations. 1495-1502 - Samer B. Nashed, Joydeep Biswas:
Human-in-the-Loop SLAM. 1503-1510 - An T. Nguyen, Aditya Kharosekar, Matthew Lease, Byron C. Wallace:
An Interpretable Joint Graphical Model for Fact-Checking From Crowds. 1511-1518 - Mayada Oudah, Talal Rahwan, Tawna Crandall, Jacob W. Crandall:
How AI Wins Friends and Influences People in Repeated Games With Cheap Talk. 1519-1526 - Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin:
Anchors: High-Precision Model-Agnostic Explanations. 1527-1535 - Avi Segal, Kobi Gal, Ece Kamar, Eric Horvitz, Grant Miller:
Optimizing Interventions via Offline Policy Evaluation: Studies in Citizen Science. 1536-1544 - Garrett Warnell, Nicholas R. Waytowich, Vernon Lawhern, Peter Stone:
Deep TAMER: Interactive Agent Shaping in High-Dimensional State Spaces. 1545-1554
AAAI18 - Human Computation and Crowd Sourcing
- Kyohei Atarashi, Satoshi Oyama, Masahito Kurihara:
Semi-Supervised Learning From Crowds Using Deep Generative Models. 1555-1562 - Kamran Ghasedi Dizaji, Heng Huang:
Sentiment Analysis via Deep Hybrid Textual-Crowd Learning Model. 1563-1570 - Priel Levy, David Sarne:
Understanding Over Participation in Simple Contests. 1571-1578 - Rui Li, Jared Curhan, Mohammed (Ehsan) Hoque:
Understanding Social Interpersonal Interaction via Synchronization Templates of Facial Events. 1579-1586 - Ritesh Noothigattu, Snehalkumar (Neil) S. Gaikwad, Edmond Awad, Sohan Dsouza, Iyad Rahwan, Pradeep Ravikumar, Ariel D. Procaccia:
A Voting-Based System for Ethical Decision Making. 1587-1594 - Goran Radanovic, Boi Faltings:
Partial Truthfulness in Minimal Peer Prediction Mechanisms With Limited Knowledge. 1595-1602 - Goran Radanovic, Adish Singla, Andreas Krause, Boi Faltings:
Information Gathering With Peers: Submodular Optimization With Peer-Prediction Constraints. 1603-1610 - Filipe Rodrigues, Francisco C. Pereira:
Deep Learning from Crowds. 1611-1618 - Ryusuke Takahama, Yukino Baba, Nobuyuki Shimizu, Sumio Fujita, Hisashi Kashima:
AdaFlock: Adaptive Feature Discovery for Human-in-the-loop Predictive Modeling. 1619-1626 - YaoSheng Yang, Meishan Zhang, Wenliang Chen, Wei Zhang, Haofen Wang, Min Zhang:
Adversarial Learning for Chinese NER From Crowd Annotations. 1627-1635
AAAI18 - Humans and AI
- Rachel Freedman, Jana Schaich Borg, Walter Sinnott-Armstrong, John P. Dickerson, Vincent Conitzer:
Adapting a Kidney Exchange Algorithm to Align With Human Values. 1636-1643 - Odd Erik Gundersen, Sigbjørn Kjensmo:
State of the Art: Reproducibility in Artificial Intelligence. 1644-1651 - Bo Luo, Yannan Liu, Lingxiao Wei, Qiang Xu:
Towards Imperceptible and Robust Adversarial Example Attacks Against Neural Networks. 1652-1659 - Andrew Slavin Ross, Finale Doshi-Velez:
Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing Their Input Gradients. 1660-1669 - Mike Wu, Michael C. Hughes, Sonali Parbhoo, Maurizio Zazzi, Volker Roth, Finale Doshi-Velez:
Beyond Sparsity: Tree Regularization of Deep Models for Interpretability. 1670-1678 - Xiang Wu, Lingxiao Song, Ran He, Tieniu Tan:
Coupled Deep Learning for Heterogeneous Face Recognition. 1679-1686 - Yueh-Hua Wu, Shou-De Lin:
A Low-Cost Ethics Shaping Approach for Designing Reinforcement Learning Agents. 1687-1694 - Zhe Wu, Bharat Singh, Larry S. Davis, V. S. Subrahmanian:
Deception Detection in Videos. 1695-1702 - Dalin Zhang, Lina Yao, Xiang Zhang, Sen Wang, Weitong Chen, Robert Boots, Boualem Benatallah:
Cascade and Parallel Convolutional Recurrent Neural Networks on EEG-based Intention Recognition for Brain Computer Interface. 1703-1710 - Han Zou, Yuxun Zhou, Jianfei Yang, Weixi Gu, Lihua Xie, Costas J. Spanos:
WiFi-Based Human Identification via Convex Tensor Shapelet Learning. 1711-1719
AAAI18 - Knowledge Representation and Reasoning
- Giovanni Amendola, Carmine Dodaro, Wolfgang Faber, Francesco Ricca:
Externally Supported Models for Efficient Computation of Paracoherent Answer Sets. 1720-1727 - Labinot Bajraktari, Magdalena Ortiz, Mantas Simkus:
Combining Rules and Ontologies into Clopen Knowledge Bases. 1728-1735 - Pietro Baroni, Antonio Rago, Francesca Toni:
How Many Properties Do We Need for Gradual Argumentation? 1736-1743 - Vitaliy Batusov, Mikhail Soutchanski:
Situation Calculus Semantics for Actual Causality. 1744-1752 - Dorothea Baumeister, Daniel Neugebauer, Jörg Rothe, Hilmar Schadrack:
Complexity of Verification in Incomplete Argumentation Frameworks. 1753-1760 - Michael Benedikt, Boris Motik, Efthymia Tsamoura:
Goal-Driven Query Answering for Existential Rules With Equality. 1761-1770 - Ronen I. Brafman, Giuseppe De Giacomo, Fabio Patrizi:
LTLf/LDLf Non-Markovian Rewards. 1771-1778 - Gerhard Brewka, Hannes Strass, Johannes Peter Wallner, Stefan Woltran:
Weighted Abstract Dialectical Frameworks. 1779-1786 - Ruichu Cai, Jie Qiao, Zhenjie Zhang, Zhifeng Hao:
SELF: Structural Equational Likelihood Framework for Causal Discovery. 1787-1794 - Erik Cambria, Soujanya Poria, Devamanyu Hazarika, Kenneth Kwok:
SenticNet 5: Discovering Conceptual Primitives for Sentiment Analysis by Means of Context Embeddings. 1795-1802 - Glauber De Bona, John Grant, Anthony Hunter, Sébastien Konieczny:
Towards a Unified Framework for Syntactic Inconsistency Measures. 1803-1810 - Tim Dettmers, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel:
Convolutional 2D Knowledge Graph Embeddings. 1811-1818 - Takuma Ebisu, Ryutaro Ichise:
TorusE: Knowledge Graph Embedding on a Lie Group. 1819-1826 - Christian Eichhorn, Gabriele Kern-Isberner, Marco Ragni:
Rational Inference Patterns Based on Conditional Logic. 1827-1834 - Liangda Fang, Hai Wan, Xianqiao Liu, Biqing Fang, Zhao-Rong Lai:
Dependence in Propositional Logic: Formula-Formula Dependence and Formula Forgetting - Application to Belief Update and Conservative Extension. 1835-1844 - Víctor Gutiérrez-Basulto, Yazmín Angélica Ibáñez-García, Jean Christoph Jung:
Answering Regular Path Queries over SQ Ontologies. 1845-1852 - Joseph Y. Halpern, Max Kleiman-Weiner:
Towards Formal Definitions of Blameworthiness, Intention, and Moral Responsibility. 1853-1860 - Nicholas Hay, Michael Stark, Alexander Schlegel, Carter Wendelken, Dennis Park, Eric Purdy, Tom Silver, D. Scott Phoenix, Dileep George:
Behavior Is Everything: Towards Representing Concepts with Sensorimotor Contingencies. 1861-1870 - Pan Hu, Boris Motik, Ian Horrocks:
Optimised Maintenance of Datalog Materialisations. 1871-1879 - Yusuf Izmirlioglu, Esra Erdem:
Qualitative Reasoning About Cardinal Directions Using Answer Set Programming. 1880-1887 - Brendan Juba, Zongyi Li, Evan Miller:
Learning Abduction Using Partial Observability. 1888-1896 - Batya Kenig, Lovro Ilijasic, Haoyue Ping, Benny Kimelfeld, Julia Stoyanovich:
Probabilistic Inference Over Repeated Insertion Models. 1897-1904 - Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Dan Roth:
Question Answering as Global Reasoning Over Semantic Abstractions. 1905-1914 - Emiliano Lorini:
In Praise of Belief Bases: Doing Epistemic Logic Without Possible Worlds. 1915-1922 - Jun Mei, Yong Jiang, Kewei Tu:
Maximum A Posteriori Inference in Sum-Product Networks. 1923-1930 - Razieh Nabi, Ilya Shpitser:
Fair Inference on Outcomes. 1931-1940 - Alessandro Ronca, Mark Kaminski, Bernardo Cuenca Grau, Boris Motik, Ian Horrocks:
Stream Reasoning in Temporal Datalog. 1941-1948 - Nicolas Schwind, Pierre Marquis:
On Consensus in Belief Merging. 1949-1956 - Baoxu Shi, Tim Weninger:
Open-World Knowledge Graph Completion. 1957-1964 - Jakob Suchan, Mehul Bhatt, Przemyslaw Andrzej Walega, Carl Schultz:
Visual Explanation by High-Level Abduction: On Answer-Set Programming Driven Reasoning About Moving Objects. 1965-1972 - Despoina Trivela, Giorgos Stoilos, Vasilis Vassalos:
A Framework and Positive Results for IAR-answering. 1973-1980 - Nicolas Troquard, Roberto Confalonieri, Pietro Galliani, Rafael Peñaloza, Daniele Porello, Oliver Kutz:
Repairing Ontologies via Axiom Weakening. 1981-1988 - Markus Ulbricht, Matthias Thimm, Gerhard Brewka:
Measuring Strong Inconsistency. 1989-1996 - Bin Wang, Zhizheng Zhang, Hongxiang Xu, Jun Shen:
Splitting an LPMLN Program. 1997-2004 - Peifeng Wang, Shuangyin Li, Rong Pan:
Incorporating GAN for Negative Sampling in Knowledge Representation Learning. 2005-2012 - Zhe Wang, Kewen Wang, Xiaowang Zhang:
Forgetting and Unfolding for Existential Rules. 2013-2020 - Jinyoung Yeo, Geungyu Wang, Hyunsouk Cho, Seungtaek Choi, Seung-won Hwang:
Machine-Translated Knowledge Transfer for Commonsense Causal Reasoning. 2021-2028 - Hao Zhang, Shuigeng Zhou, Jihong Guan:
Measuring Conditional Independence by Independent Residuals: Theoretical Results and Application in Causal Discovery. 2029-2036 - Junzhe Zhang, Elias Bareinboim:
Fairness in Decision-Making - The Causal Explanation Formula. 2037-2045 - Richong Zhang, Fanshuang Kong, Chenyue Wang, Yongyi Mao:
Embedding of Hierarchically Typed Knowledge Bases. 2046-2053 - Xiaowang Zhang, Jan Van den Bussche, Kewen Wang, Zhe Wang:
On the Satisfiability Problem of Patterns in SPARQL 1.1. 2054-2062
AAAI18 - Machine Learning Applications
- Avinash Achar, Venkatesh Sarangan, Rohith Regikumar, Anand Sivasubramaniam:
Predicting Vehicular Travel Times by Modeling Heterogeneous Influences Between Arterial Roads. 2063-2070 - Onur Atan, James Jordon, Mihaela van der Schaar:
Deep-Treat: Learning Optimal Personalized Treatments From Observational Data Using Neural Networks. 2071-2078 - Brandon Ballinger, Johnson Hsieh, Avesh Singh, Nimit Sohoni, Jack Wang, Geoffrey H. Tison, Gregory M. Marcus, Jose M. Sanchez, Carol Maguire, Jeffrey E. Olgin, Mark J. Pletcher:
DeepHeart: Semi-Supervised Sequence Learning for Cardiovascular Risk Prediction. 2079-2086 - Jiang Bian, Haoyi Xiong, Yanjie Fu, Sajal K. Das:
CSWA: Aggregation-Free Spatial-Temporal Community Sensing. 2087-2094 - Diane Bouchacourt, Ryota Tomioka, Sebastian Nowozin:
Multi-Level Variational Autoencoder: Learning Disentangled Representations From Grouped Observations. 2095-2102 - Long Chen, Yuhang He:
Dress Fashionably: Learn Fashion Collocation With Deep Mixed-Category Metric Learning. 2103-2110 - Chengyao Chen, Zhitao Wang, Wenjie Li, Xu Sun:
Modeling Scientific Influence for Research Trending Topic Prediction. 2111-2118 - Ding-Jie Chen, Jui-Ting Chien, Hwann-Tzong Chen, Long-Wen Chang:
Tap and Shoot Segmentation. 2119-2126 - Haochen Chen, Bryan Perozzi, Yifan Hu, Steven Skiena:
HARP: Hierarchical Representation Learning for Networks. 2127-2134 - Ko-Shin Chen, Tingyang Xu, Jinbo Bi:
Latent Sparse Modeling of Longitudinal Multi-Dimensional Data. 2135-2142 - Weihao Cheng, Sarah M. Erfani, Rui Zhang, Ramamohanarao Kotagiri:
Learning Datum-Wise Sampling Frequency for Energy-Efficient Human Activity Recognition. 2143-2150 - Weiyu Cheng, Yanyan Shen, Yanmin Zhu, Linpeng Huang:
A Neural Attention Model for Urban Air Quality Inference: Learning the Weights of Monitoring Stations. 2151-2158 - Ching-Hua Chuan, Dorien Herremans:
Modeling Temporal Tonal Relations in Polyphonic Music Through Deep Networks With a Novel Image-Based Representation. 2159-2166 - Quanyu Dai, Qiang Li, Jian Tang, Dan Wang:
Adversarial Network Embedding. 2167-2174 - Chao Du, Chongxuan Li, Yin Zheng, Jun Zhu, Bo Zhang:
Collaborative Filtering With User-Item Co-Autoregressive Models. 2175-2182 - Ahmed Elgammal, Bingchen Liu, Diana Kim, Mohamed Elhoseiny, Marian Mazzone:
The Shape of Art History in the Eyes of the Machine. 2183-2191 - Katsuhiro Endo, Katsufumi Tomobe, Kenji Yasuoka:
Multi-Step Time Series Generator for Molecular Dynamics. 2192-2199 - Alin Fan, Ling Chen, Gencai Chen:
Search Action Sequence Modeling With Long Short-Term Memory for Search Task Success Evaluation. 2200-2207 - Qingxiang Feng, Yicong Zhou:
Discriminant Projection Representation-Based Classification for Vision Recognition. 2208-2214 - Sainyam Galhotra, Arya Mazumdar, Soumyabrata Pal, Barna Saha:
The Geometric Block Model. 2215-2222 - Zan Gao, Deyu Wang, Xiangnan He, Hua Zhang:
Group-Pair Convolutional Neural Networks for Multi-View Based 3D Object Retrieval. 2223-2231 - Jun Guo, Wenwu Zhu:
Dependence Guided Unsupervised Feature Selection. 2232-2239 - Yuchen Guo, Xin Zhao, Guiguang Ding, Jungong Han:
On Trivial Solution and High Correlation Problems in Deep Supervised Hashing. 2240-2247 - Christoph Hirnschall, Adish Singla, Sebastian Tschiatschek, Andreas Krause:
Learning User Preferences to Incentivize Exploration in the Sharing Economy. 2248-2256 - Jie Huang, Wengang Zhou, Qilin Zhang, Houqiang Li, Weiping Li:
Video-Based Sign Language Recognition Without Temporal Segmentation. 2257-2264 - Jin Huang, Yue Gao, Sha Lu, Xibin Zhao, Yangdong Deng, Ming Gu:
Energy-Efficient Automatic Train Driving by Learning Driving Patterns. 2265-2272 - Wenjun Huang, Chao Liang, Yi Yu, Zheng Wang, Weijian Ruan, Ruimin Hu:
Video-Based Person Re-Identification via Self Paced Weighting. 2273-2280 - Yu-Siang Huang, Szu-Yu Chou, Yi-Hsuan Yang:
Generating Music Medleys via Playing Music Puzzle Games. 2281-2288 - Zepeng Huo, Xiao Huang, Xia Hu:
Link Prediction With Personalized Social Influence. 2289-2296 - Maya Kabkab, Pouya Samangouei, Rama Chellappa:
Task-Aware Compressed Sensing With Generative Adversarial Networks. 2297-2304 - Hao-Cheng Kao, Kai-Fu Tang, Edward Y. Chang:
Context-Aware Symptom Checking for Disease Diagnosis Using Hierarchical Reinforcement Learning. 2305-2313 - Changhee Lee, William R. Zame, Jinsung Yoon, Mihaela van der Schaar:
DeepHit: A Deep Learning Approach to Survival Analysis With Competing Risks. 2314-2321 - Dawei Li, Xiaolong Wang, Deguang Kong:
DeepRebirth: Accelerating Deep Neural Network Execution on Mobile Devices. 2322-2330 - Kai Li, Zhengming Ding, Sheng Li, Yun Fu:
Discriminative Semi-Coupled Projective Dictionary Learning for Low-Resolution Person Re-Identification. 2331-2338 - Chenghao Liu, Teng Zhang, Peilin Zhao, Jianling Sun, Steven C. H. Hoi:
Unified Locally Linear Classifiers With Diversity-Promoting Anchor Points. 2339-2346 - Qi Liu, Yue Zhang, Zhenguang Liu, Ye Yuan, Li Cheng, Roger Zimmermann:
Multi-Modal Multi-Task Learning for Automatic Dietary Assessment. 2347-2354 - Zemin Liu, Vincent W. Zheng, Zhou Zhao, Fanwei Zhu, Kevin Chen-Chuan Chang, Minghui Wu, Jing Ying:
Distance-Aware DAG Embedding for Proximity Search on Heterogeneous Graphs. 2355-2362 - Matthew B. A. McDermott, Tom Yan, Tristan Naumann, Nathan Hunt, Harini Suresh, Peter Szolovits, Marzyeh Ghassemi:
Semi-Supervised Biomedical Translation With Cycle Wasserstein Regression GANs. 2363-2370 - Zhiyu Min, Dahua Lin:
Probabilistic Ensemble of Collaborative Filters. 2371-2378 - Alessandro Nuara, Francesco Trovò, Nicola Gatti, Marcello Restelli:
A Combinatorial-Bandit Algorithm for the Online Joint Bid/Budget Optimization of Pay-per-Click Advertising Campaigns. 2379-2386 - Katsunori Ohnishi, Shohei Yamamoto, Yoshitaka Ushiku, Tatsuya Harada:
Hierarchical Video Generation From Orthogonal Information: Optical Flow and Texture. 2387-2394 - Xu Shen, Xinmei Tian, Jun Xing, Yong Rui, Dacheng Tao:
Sequence-to-Sequence Learning via Shared Latent Representation. 2395-2402 - Yong-Siang Shih, Kai-Yueh Chang, Hsuan-Tien Lin, Min Sun:
Compatibility Family Learning for Item Recommendation and Generation. 2403-2410 - Kyungwoo Song, Wonsung Lee, Il-Chul Moon:
Neural Ideal Point Estimation Network. 2411-2418 - Liangchen Song, Bo Du, Lefei Zhang, Liangpei Zhang, Jia Wu, Xuelong Li:
Nonlocal Patch Based t-SVD for Image Inpainting: Algorithm and Error Analysis. 2419-2426 - Yang Song, Zhifei Zhang, Hairong Qi:
r-BTN: Cross-Domain Face Composite and Synthesis From Limited Facial Patches. 2427-2434 - Yu Su, Qingwen Liu, Qi Liu, Zhenya Huang, Yu Yin, Enhong Chen, Chris H. Q. Ding, Si Wei, Guoping Hu:
Exercise-Enhanced Sequential Modeling for Student Performance Prediction. 2435-2443 - Liyan Sun, Zhiwen Fan, Yue Huang, Xinghao Ding, John W. Paisley:
Compressed Sensing MRI Using a Recursive Dilated Network. 2444-2451 - Qingyang Tan, Lin Gao, Yu-Kun Lai, Jie Yang, Shihong Xia:
Mesh-Based Autoencoders for Localized Deformation Component Analysis. 2452-2459 - Wesley Tansey, Jesse Thomason, James G. Scott:
Maximum-Variance Total Variation Denoising for Interpretable Spatial Smoothing. 2460-2467 - Saeid Tizpaz-Niari, Pavol Cerný, Bor-Yuh Evan Chang, Ashutosh Trivedi:
Differential Performance Debugging With Discriminant Regression Trees. 2468-2475 - Bin Tong, Martin Klinkigt, Junwen Chen, Xiankun Cui, Quan Kong, Tomokazu Murakami, Yoshiyuki Kobayashi:
Adversarial Zero-shot Learning With Semantic Augmentation. 2476-2483 - Mark Valovage, Akshay Shekhawat, Maria L. Gini:
Model-Free Iterative Temporal Appliance Discovery for Unsupervised Electricity Disaggregation. 2484-2491 - Chaojie Wang, Bo Chen, Mingyuan Zhou:
Multimodal Poisson Gamma Belief Network. 2492-2499 - Dong Wang, Junbo Zhang, Wei Cao, Jian Li, Yu Zheng:
When Will You Arrive? Estimating Travel Time Based on Deep Neural Networks. 2500-2507 - Hongwei Wang, Jia Wang, Jialin Wang, Miao Zhao, Weinan Zhang, Fuzheng Zhang, Xing Xie, Minyi Guo:
GraphGAN: Graph Representation Learning With Generative Adversarial Nets. 2508-2515 - Menghan Wang, Xiaolin Zheng, Yang Yang, Kun Zhang:
Collaborative Filtering With Social Exposure: A Modular Approach to Social Recommendation. 2516-2523 - Nancy Xin Ru Wang, Ali Farhadi, Rajesh P. N. Rao, Bingni W. Brunton:
AJILE Movement Prediction: Multimodal Deep Learning for Natural Human Neural Recordings and Video. 2524-2531 - Shoujin Wang, Liang Hu, Longbing Cao, Xiaoshui Huang, Defu Lian, Wei Liu:
Attention-Based Transactional Context Embedding for Next-Item Recommendation. 2532-2539 - Tie-Qiang Wang, Cheng-Lin Liu:
Fully Convolutional Network Based Skeletonization for Handwritten Chinese Characters. 2540-2547 - Xiaoqian Wang, Hao Huang:
Directional Label Rectification in Adaptive Graph. 2548-2555 - Jiahui Wen, Jingwei Ma, Yiliu Feng, Mingyang Zhong:
Hybrid Attentive Answer Selection in CQA With Deep Users Modelling. 2556-2563 - Jiaming Xu, Jing Shi, Guangcan Liu, Xiuyi Chen, Bo Xu:
Modeling Attention and Memory for Auditory Selection in a Cocktail Party Environment. 2564-2571 - Tong Xu, Hengshu Zhu, Chen Zhu, Pan Li, Hui Xiong:
Measuring the Popularity of Job Skills in Recruitment Market: A Multi-Criteria Approach. 2572-2579 - Zhenpei Yang, Lihang Liu, Qixing Huang:
Learning Generative Neural Networks for 3D Colorization. 2580-2587 - Huaxiu Yao, Fei Wu, Jintao Ke, Xianfeng Tang, Yitian Jia, Siyu Lu, Pinghua Gong, Jieping Ye, Zhenhui Li:
Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction. 2588-2595 - Lu Yu, Chuxu Zhang, Shichao Pei, Guolei Sun, Xiangliang Zhang:
WalkRanker: A Unified Pairwise Ranking Model With Multiple Relations for Item Recommendation. 2596-2603 - Chaoyun Zhang, Mingjun Zhong, Zongzuo Wang, Nigel H. Goddard, Charles Sutton:
Sequence-to-Point Learning With Neural Networks for Non-Intrusive Load Monitoring. 2604-2611 - Sheng Zhang, Yuliang Liu, Lianwen Jin, Canjie Luo:
Feature Enhancement Network: A Refined Scene Text Detector. 2612-2619 - Yuan Zhang, Tianshu Lyu, Yan Zhang:
COSINE: Community-Preserving Social Network Embedding From Information Diffusion Cascades. 2620-2627 - Mengchen Zhao, Bo An, Yaodong Yu, Sulin Liu, Sinno Jialin Pan:
Data Poisoning Attacks on Multi-Task Relationship Learning. 2628-2635 - Rui Zhao, Qiang Ji:
An Adversarial Hierarchical Hidden Markov Model for Human Pose Modeling and Generation. 2636-2643 - Nenggan Zheng, Jun Wen, Risheng Liu, Liangqu Long, Jianhua Dai, Zhefeng Gong:
Unsupervised Representation Learning With Long-Term Dynamics for Skeleton Based Action Recognition. 2644-2651 - Yanning Zhou, Qi Dou, Hao Chen, Jing Qin, Pheng-Ann Heng:
SFCN-OPI: Detection and Fine-Grained Classification of Nuclei Using Sibling FCN With Objectness Prior Interaction. 2652-2659 - Xiaofeng Zhu, Hongming Li, Yong Fan:
Parameter-Free Centralized Multi-Task Learning for Characterizing Developmental Sex Differences in Resting State Functional Connectivity. 2660-2668
AAAI18 - Machine Learning Methods
- Mohammed Alshiekh, Roderick Bloem, Rüdiger Ehlers, Bettina Könighofer, Scott Niekum, Ufuk Topcu:
Safe Reinforcement Learning via Shielding. 2669-2678 - Hassan Ashtiani, Shai Ben-David, Abbas Mehrabian:
Sample-Efficient Learning of Mixtures. 2679-2686 - Shumeet Baluja, Ian Fischer:
Learning to Attack: Adversarial Transformation Networks. 2687-2695 - Siddharth Barman, Aditya Gopalan, Aadirupa Saha:
Online Learning for Structured Loss Spaces. 2696-2703 - Sima Behpour, Wei Xing, Brian D. Ziebart:
ARC: Adversarial Robust Cuts for Semi-Supervised and Multi-Label Classification. 2704-2711 - Jessa Bekker, Jesse Davis:
Estimating the Class Prior in Positive and Unlabeled Data Through Decision Tree Induction. 2712-2719 - Apratim Bhattacharyya, Mateusz Malinowski, Bernt Schiele, Mario Fritz:
Long-Term Image Boundary Prediction. 2720-2729 - Avrim Blum, Nika Haghtalab:
Algorithms for Generalized Topic Modeling. 2730-2737 - Aleksandar Bojchevski, Stephan Günnemann:
Bayesian Robust Attributed Graph Clustering: Joint Learning of Partial Anomalies and Group Structure. 2738-2745 - Forough Rezaei Boroujeni, Sen Wang, Zhihui Li, Nicholas West, Bela Stantic, Lina Yao, Guodong Long:
Trace Ratio Optimization With Feature Correlation Mining for Multiclass Discriminant Analysis. 2746-2753 - Daniel S. Brown, Scott Niekum:
Efficient Probabilistic Performance Bounds for Inverse Reinforcement Learning. 2754-2762 - Gino Brunner, Oliver Richter, Yuyi Wang, Roger Wattenhofer:
Teaching a Machine to Read Maps With Deep Reinforcement Learning. 2763-2770 - Jose Cadena, Arinjoy Basak, Anil Vullikanti, Xinwei Deng:
Graph Scan Statistics With Uncertainty. 2771-2778 - Jose Cadena, Anil Vullikanti:
Mining Heavy Temporal Subgraphs: Fast Algorithms and Applications. 2779-2786 - Han Cai, Tianyao Chen, Weinan Zhang, Yong Yu, Jun Wang:
Efficient Architecture Search by Network Transformation. 2787-2794 - Yue Cao, Mingsheng Long, Jianmin Wang:
Unsupervised Domain Adaptation With Distribution Matching Machines. 2795-2802 - Zhu Cao, Linlin Wang, Gerard de Melo:
Link Prediction via Subgraph Embedding-Based Convex Matrix Completion. 2803-2810 - Bo Chang, Lili Meng, Eldad Haber, Lars Ruthotto, David Begert, Elliot Holtham:
Reversible Architectures for Arbitrarily Deep Residual Neural Networks. 2811-2818 - Devendra Singh Chaplot, Kanthashree Mysore Sathyendra, Rama Kumar Pasumarthi, Dheeraj Rajagopal, Ruslan Salakhutdinov:
Gated-Attention Architectures for Task-Oriented Language Grounding. 2819-2826 - Chia-Yu Chen, Jungwook Choi, Daniel Brand, Ankur Agrawal, Wei Zhang, Kailash Gopalakrishnan:
AdaComp : Adaptive Residual Gradient Compression for Data-Parallel Distributed Training. 2827-2835 - Hao Chen, Yali Wang, Guoyou Wang, Yu Qiao:
LSTD: A Low-Shot Transfer Detector for Object Detection. 2836-2843 - Liangzhe Chen, Sorour E. Amiri, B. Aditya Prakash:
Automatic Segmentation of Data Sequences. 2844-2851 - Yuntao Chen, Naiyan Wang, Zhaoxiang Zhang:
DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer. 2852-2859 - Li Chou, Pracheta Sahoo, Somdeb Sarkhel, Nicholas Ruozzi, Vibhav Gogate:
Automatic Parameter Tying: A New Approach for Regularized Parameter Learning in Markov Networks. 2860-2867 - Kamil Ciosek, Shimon Whiteson:
Expected Policy Gradients. 2868-2875 - Andrew Cohen, Lei Yu, Robert Wright:
Diverse Exploration for Fast and Safe Policy Improvement. 2876-2883 - Edith Cohen, Shiri Chechik, Haim Kaplan:
Clustering Small Samples With Quality Guarantees: Adaptivity With One2all PPS. 2884-2891 - Will Dabney, Mark Rowland, Marc G. Bellemare, Rémi Munos:
Distributional Reinforcement Learning With Quantile Regression. 2892-2901 - Kristopher De Asis, J. Fernando Hernandez-Garcia, G. Zacharias Holland, Richard S. Sutton:
Multi-Step Reinforcement Learning: A Unifying Algorithm. 2902-2909 - Lizhong Ding, Shizhong Liao, Yong Liu, Peng Yang, Xin Gao:
Randomized Kernel Selection With Spectra of Multilevel Circulant Matrices. 2910-2917 - Trong Dinh Thac Do, Longbing Cao:
Coupled Poisson Factorization Integrated With User/Item Metadata for Modeling Popular and Sparse Ratings in Scalable Recommendation. 2918-2925 - Hao-Chen Dong, Yufeng Li, Zhi-Hua Zhou:
Learning From Semi-Supervised Weak-Label Data. 2926-2933 - Paolo Dragone, Stefano Teso, Mohit Kumar, Andrea Passerini:
Decomposition Strategies for Constructive Preference Elicitation. 2934-2942 - Paolo Dragone, Stefano Teso, Andrea Passerini:
Constructive Preference Elicitation Over Hybrid Combinatorial Spaces. 2943-2950 - Mohsen Ahmadi Fahandar, Eyke Hüllermeier:
Learning to Rank Based on Analogical Reasoning. 2951-2958 - Hélène Fargier, Pierre-François Gimenez, Jérôme Mengin:
Learning Lexicographic Preference Trees From Positive Examples. 2959-2966 - Ji Feng, Zhi-Hua Zhou:
AutoEncoder by Forest. 2967-2973 - Jakob N. Foerster, Gregory Farquhar, Triantafyllos Afouras, Nantas Nardelli, Shimon Whiteson:
Counterfactual Multi-Agent Policy Gradients. 2974-2982 - Mohadeseh Ganji, James Bailey, Peter J. Stuckey:
Lagrangian Constrained Community Detection. 2983-2990 - Tianxiang Gao, Chris Chu:
DID: Distributed Incremental Block Coordinate Descent for Nonnegative Matrix Factorization. 2991-2998 - Yuyang Gao, Liang Zhao:
Incomplete Label Multi-Task Ordinal Regression for Spatial Event Scale Forecasting. 2999-3006 - Christopher W. Geib, Pavan Kantharaju:
Learning Combinatory Categorial Grammars for Plan Recognition. 3007-3014 - Francesco Giannini, Michelangelo Diligenti, Marco Gori, Marco Maggini:
Characterization of the Convex Łukasiewicz Fragment for Learning From Constraints. 3015-3020 - Robert A. Giaquinto, Arindam Banerjee:
Topic Modeling on Health Journals With Regularized Variational Inference. 3021-3028 - Naman Goel, Mohammad Yaghini, Boi Faltings:
Non-Discriminatory Machine Learning Through Convex Fairness Criteria. 3029-3036 - Tieliang Gong, Guangtao Wang, Jieping Ye, Zongben Xu, Ming Lin:
Margin Based PU Learning. 3037-3044 - Kartik Goyal, Graham Neubig, Chris Dyer, Taylor Berg-Kirkpatrick:
A Continuous Relaxation of Beam Search for End-to-End Training of Neural Sequence Models. 3045-3052 - Aubrey Gress, Ian Davidson:
Human Guided Linear Regression With Feature-Level Constraints. 3053-3060 - Yuri Grinberg, Hossein Aboutalebi, Melanie Lyman-Abramovitch, Borja Balle, Doina Precup:
Learning Predictive State Representations From Non-Uniform Sampling. 3061-3068 - Aditya Grover, Manik Dhar, Stefano Ermon:
Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models. 3069-3076 - Aditya Grover, Stefano Ermon:
Boosted Generative Models. 3077-3084 - Bin Gu, Miao Xin, Zhouyuan Huo, Heng Huang:
Asynchronous Doubly Stochastic Sparse Kernel Learning. 3085-3092 - Bin Gu, De Wang, Zhouyuan Huo, Heng Huang:
Inexact Proximal Gradient Methods for Non-Convex and Non-Smooth Optimization. 3093-3100 - Lei Gu, Ningning Zhou, Yang Zhao:
An Euclidean Distance Based on Tensor Product Graph Diffusion Related Attribute Value Embedding for Nominal Data Clustering. 3101-3108 - Melody Y. Guan, Varun Gulshan, Andrew M. Dai, Geoffrey E. Hinton:
Who Said What: Modeling Individual Labelers Improves Classification. 3109-3118 - Melody Y. Guan, Heinrich Jiang:
Nonparametric Stochastic Contextual Bandits. 3119-3125 - Lan-Zhe Guo, Yufeng Li:
A General Formulation for Safely Exploiting Weakly Supervised Data. 3126-3133 - Yong Guo, Qingyao Wu, Chaorui Deng, Jian Chen, Mingkui Tan:
Double Forward Propagation for Memorized Batch Normalization. 3134-3141 - Eldad Haber, Lars Ruthotto, Elliot Holtham, Seong-Hwan Jun:
Learning Across Scales - Multiscale Methods for Convolution Neural Networks. 3142-3148 - Ahsanul Haque, Hemeng Tao, Swarup Chandra, Jie Liu, Latifur Khan:
A Framework for Multistream Regression With Direct Density Ratio Estimation. 3149-3156 - Satoshi Hara, Masakazu Ishihata:
Approximate and Exact Enumeration of Rule Models. 3157-3164 - Jean Harb, Pierre-Luc Bacon, Martin Klissarov, Doina Precup:
When Waiting Is Not an Option: Learning Options With a Deliberation Cost. 3165-3172 - Anna Harutyunyan, Peter Vrancx, Pierre-Luc Bacon, Doina Precup, Ann Nowé:
Learning With Options That Terminate Off-Policy. 3173-3182 - Shiyi He, Chang Xu, Tianyu Guo, Chao Xu, Dacheng Tao:
Reinforced Multi-Label Image Classification by Exploring Curriculum. 3183-3190 - Ahmed Hefny, Carlton Downey, Geoffrey J. Gordon:
An Efficient, Expressive and Local Minima-Free Method for Learning Controlled Dynamical Systems. 3191-3198 - Peter Henderson, Wei-Di Chang, Pierre-Luc Bacon, David Meger, Joelle Pineau, Doina Precup:
OptionGAN: Learning Joint Reward-Policy Options Using Generative Adversarial Inverse Reinforcement Learning. 3199-3206 - Peter Henderson, Riashat Islam, Philip Bachman, Joelle Pineau, Doina Precup, David Meger:
Deep Reinforcement Learning That Matters. 3207-3214 - Matteo Hessel, Joseph Modayil, Hado van Hasselt, Tom Schaul, Georg Ostrovski, Will Dabney, Dan Horgan, Bilal Piot, Mohammad Gheshlaghi Azar, David Silver:
Rainbow: Combining Improvements in Deep Reinforcement Learning. 3215-3222 - Todd Hester, Matej Vecerík, Olivier Pietquin, Marc Lanctot, Tom Schaul, Bilal Piot, Dan Horgan, John Quan, Andrew Sendonaris, Ian Osband, Gabriel Dulac-Arnold, John P. Agapiou, Joel Z. Leibo, Audrunas Gruslys:
Deep Q-learning From Demonstrations. 3223-3230 - Trong Nghia Hoang, Quang Minh Hoang, Ruofei Ouyang, Kian Hsiang Low:
Decentralized High-Dimensional Bayesian Optimization With Factor Graphs. 3231-3238 - Cheng-Yu Hsieh, Yi-An Lin, Hsuan-Tien Lin:
A Deep Model With Local Surrogate Loss for General Cost-Sensitive Multi-Label Learning. 3239-3246 - Qinghao Hu, Peisong Wang, Jian Cheng:
From Hashing to CNNs: Training Binary Weight Networks via Hashing. 3247-3254 - Qinmin Hu, Jie Zhou, Qin Chen, Liang He:
SNNN: Promoting Word Sentiment and Negation in Neural Sentiment Classification. 3255-3262 - Kejun Huang, Xiao Fu, Nicholas D. Sidiropoulos:
On Convergence of Epanechnikov Mean Shift. 3263-3270 - Lei Huang, Xianglong Liu, Bo Lang, Adams Wei Yu, Yongliang Wang, Bo Li:
Orthogonal Weight Normalization: Solution to Optimization Over Multiple Dependent Stiefel Manifolds in Deep Neural Networks. 3271-3278 - Zhiwu Huang, Jiqing Wu, Luc Van Gool:
Building Deep Networks on Grassmann Manifolds. 3279-3286 - Zhouyuan Huo, Bin Gu, Ji Liu, Heng Huang:
Accelerated Method for Stochastic Composition Optimization With Nonsmooth Regularization. 3287-3294 - Yoonho Hwang, Mooyeol Baek, Saehoon Kim, Bohyung Han, Hee-Kap Ahn:
Product Quantized Translation for Fast Nearest Neighbor Search. 3295-3301 - David Isele, Akansel Cosgun:
Selective Experience Replay for Lifelong Learning. 3302-3309 - Xiuyi Jia, Weiwei Li, Junyu Liu, Yu Zhang:
Label Distribution Learning by Exploiting Label Correlations. 3310-3317 - Songlei Jian, Liang Hu, Longbing Cao, Kai Lu:
Metric-Based Auto-Instructor for Learning Mixed Data Representation. 3318-3325 - Fei Jiang, Xiao-Yang Liu, Hongtao Lu, Ruimin Shen:
Efficient Multi-Dimensional Tensor Sparse Coding Using t-Linear Combination. 3326-3333 - Nan Jiang:
PAC Reinforcement Learning With an Imperfect Model. 3334-3341 - Qing-Yuan Jiang, Wu-Jun Li:
Asymmetric Deep Supervised Hashing. 3342-3349 - Aditya Jitta, Arto Klami:
On Controlling the Size of Clusters in Probabilistic Clustering. 3350-3357 - Heechul Jung, Jeongwoo Ju, Minju Jung, Junmo Kim:
Less-Forgetful Learning for Domain Expansion in Deep Neural Networks. 3358-3365 - Zhao Kang, Chong Peng, Qiang Cheng, Zenglin Xu:
Unified Spectral Clustering With Optimal Graph. 3366-3373 - Sebastian Kauschke, Johannes Fürnkranz:
Batchwise Patching of Classifiers. 3374-3381 - Kenji Kawaguchi, Bo Xie, Le Song:
Deep Semi-Random Features for Nonlinear Function Approximation. 3382-3389 - Ronald Kemker, Marc McClure, Angelina Abitino, Tyler L. Hayes, Christopher Kanan:
Measuring Catastrophic Forgetting in Neural Networks. 3390-3398 - Hiroshi Kera, Yoshihiko Hasegawa:
Approximate Vanishing Ideal via Data Knotting. 3399-3406 - Udayan Khurana, Horst Samulowitz, Deepak S. Turaga:
Feature Engineering for Predictive Modeling Using Reinforcement Learning. 3407-3414 - Kee-Eung Kim, Hyun Soo Park:
Imitation Learning via Kernel Mean Embedding. 3415-3422 - Saehoon Kim, Jungtaek Kim, Seungjin Choi:
On the Optimal Bit Complexity of Circulant Binary Embedding. 3423-3430 - Soheil Kolouri, Mohammad Rostami, Yuri Owechko, Kyungnam Kim:
Joint Dictionaries for Zero-Shot Learning. 3431-3439 - Harshit Kumar, Arvind Agarwal, Riddhiman Dasgupta, Sachindra Joshi:
Dialogue Act Sequence Labeling Using Hierarchical Encoder With CRF. 3440-3447 - Yeon-Chang Lee, Sang-Wook Kim, Dongwon Lee:
gOCCF: Graph-Theoretic One-Class Collaborative Filtering Based on Uninteresting Items. 3448-3456 - Lucas Lehnert, Romain Laroche, Harm van Seijen:
On Value Function Representation of Long Horizon Problems. 3457-3465 - Cong Leng, Zesheng Dou, Hao Li, Shenghuo Zhu, Rong Jin:
Extremely Low Bit Neural Network: Squeeze the Last Bit Out With ADMM. 3466-3473 - Daniel Levy, Stefano Ermon:
Deterministic Policy Optimization by Combining Pathwise and Score Function Estimators for Discrete Action Spaces. 3474-3481 - Chaolong Li, Zhen Cui, Wenming Zheng, Chunyan Xu, Jian Yang:
Spatio-Temporal Graph Convolution for Skeleton Based Action Recognition. 3482-3489 - Da Li, Yongxin Yang, Yi-Zhe Song, Timothy M. Hospedales:
Learning to Generalize: Meta-Learning for Domain Generalization. 3490-3497 - Jinxing Li, Hongwei Yong, Bob Zhang, Mu Li, Lei Zhang, David Zhang:
A Probabilistic Hierarchical Model for Multi-View and Multi-Feature Classification. 3498-3505 - Jun Li, Hongfu Liu, Yun Fu:
Predictive Coding Machine for Compressed Sensing and Image Denoising. 3506-3513 - Jundong Li, Liang Wu, Harsh Dani, Huan Liu:
Unsupervised Personalized Feature Selection. 3514-3521 - Kai Li, Sheng Li, Zhengming Ding, Weidong Zhang, Yun Fu:
Latent Discriminant Subspace Representations for Multi-View Outlier Detection. 3522-3529 - Oscar Li, Hao Liu, Chaofan Chen, Cynthia Rudin:
Deep Learning for Case-Based Reasoning Through Prototypes: A Neural Network That Explains Its Predictions. 3530-3537 - Qimai Li, Zhichao Han, Xiao-Ming Wu:
Deeper Insights Into Graph Convolutional Networks for Semi-Supervised Learning. 3538-3545 - Ruoyu Li, Sheng Wang, Feiyun Zhu, Junzhou Huang:
Adaptive Graph Convolutional Neural Networks. 3546-3553 - Shuai Li, Shengyu Zhang:
Online Clustering of Contextual Cascading Bandits. 3554-3561 - Siyuan Li, Chongjie Zhang:
An Optimal Online Method of Selecting Source Policies for Reinforcement Learning. 3562-3570 - Tianyang Li, Liu Liu, Anastasios Kyrillidis, Constantine Caramanis:
Statistical Inference Using SGD. 3571-3578 - Ya Li, Mingming Gong, Xinmei Tian, Tongliang Liu, Dacheng Tao:
Domain Generalization via Conditional Invariant Representations. 3579-3587 - Yingming Li, Zenglin Xu, Zhongfei Zhang:
Learning With Incomplete Labels. 3588-3595 - Zhihui Li, Feiping Nie, Xiaojun Chang, Zhigang Ma, Yi Yang:
Balanced Clustering via Exclusive Lasso: A Pragmatic Approach. 3596-3603 - Shuangli Liao, Jin Li, Yang Liu, Quanxue Gao, Xinbo Gao:
Robust Formulation for PCA: Avoiding Mean Calculation With L2, p-norm Maximization. 3604-3610 - Woosang Lim, Rundong Du, Haesun Park:
CoDiNMF: Co-Clustering of Directed Graphs via NMF. 3611-3618 - Bo Liu, Ying Wei, Yu Zhang, Zhixian Yan, Qiang Yang:
Transferable Contextual Bandit for Cross-Domain Recommendation. 3619-3626 - Chang Liu, Jun Zhu:
Riemannian Stein Variational Gradient Descent for Bayesian Inference. 3627-3634 - Chong Liu, Peng Zhao, Sheng-Jun Huang, Yuan Jiang, Zhi-Hua Zhou:
Dual Set Multi-Label Learning. 3635-3642 - Fang Liu, Swapna Buccapatnam, Ness B. Shroff:
Information Directed Sampling for Stochastic Bandits With Graph Feedback. 3643-3650 - Fang Liu, Joohyun Lee, Ness B. Shroff:
A Change-Detection Based Framework for Piecewise-Stationary Multi-Armed Bandit Problem. 3651-3658 - Fanghui Liu, Xiaolin Huang, Chen Gong, Jie Yang, Li Li:
Nonlinear Pairwise Layer and Its Training for Kernel Learning. 3659-3666 - Kuan Liu, Prem Natarajan:
A Batch Learning Framework for Scalable Personalized Ranking. 3667-3674 - Lanlan Liu, Jia Deng:
Dynamic Deep Neural Networks: Optimizing Accuracy-Efficiency Trade-Offs by Selective Execution. 3675-3682 - Weiwei Liu, Zhuanghua Liu, Ivor W. Tsang, Wenjie Zhang, Xuemin Lin:
Doubly Approximate Nearest Neighbor Classification. 3683-3690 - Yang Liu, Quanxue Gao, Jungong Han, Shujian Wang:
Euler Sparse Representation for Image Classification. 3691-3697 - Zuozhu Liu, Tony Q. S. Quek, Shaowei Lin:
Variational Probability Flow for Biologically Plausible Training of Deep Neural Networks. 3698-3705 - Palma London, Shai Vardi, Adam Wierman, Hanling Yi:
A Parallelizable Acceleration Framework for Packing Linear Programs. 3706-3713 - Canyi Lu, Jiashi Feng, Zhouchen Lin, Shuicheng Yan:
Nonconvex Sparse Spectral Clustering by Alternating Direction Method of Multipliers and Its Convergence Analysis. 3714-3721 - Lei Luo, Heng Huang:
Matrix Variate Gaussian Mixture Distribution Steered Robust Metric Learning. 3722-3729 - Shirui Luo, Changqing Zhang, Wei Zhang, Xiaochun Cao:
Consistent and Specific Multi-View Subspace Clustering. 3730-3737 - Ke Ma, Jinshan Zeng, Jiechao Xiong, Qianqian Xu, Xiaochun Cao, Wei Liu, Yuan Yao:
Stochastic Non-Convex Ordinal Embedding With Stabilized Barzilai-Borwein Step Size. 3738-3745 - Shlomi Maliah, Guy Shani:
MDP-Based Cost Sensitive Classification Using Decision Trees. 3746-3753 - Hitoshi Manabe, Katsuhiko Hayashi, Masashi Shimbo:
Data-Dependent Learning of Symmetric/Antisymmetric Relations for Knowledge Base Completion. 3754-3761 - Ofir Marom, Benjamin Rosman:
Belief Reward Shaping in Reinforcement Learning. 3762-3769 - Koji Maruhashi, Masaru Todoriki, Takuya Ohwa, Keisuke Goto, Yu Hasegawa, Hiroya Inakoshi, Hirokazu Anai:
Learning Multi-Way Relations via Tensor Decomposition With Neural Networks. 3770-3777 - Changping Meng, S. Chandra Mouli, Bruno Ribeiro, Jennifer Neville:
Subgraph Pattern Neural Networks for High-Order Graph Evolution Prediction. 3778-3787 - Xuying Meng, Suhang Wang, Huan Liu, Yujun Zhang:
Exploiting Emotion on Reviews for Recommender Systems. 3788-3795 - Xuying Meng, Suhang Wang, Kai Shu, Jundong Li, Bo Chen, Huan Liu, Yujun Zhang:
Personalized Privacy-Preserving Social Recommendation. 3796-3803 - Aditya Krishna Menon, Young Lee:
Proper Loss Functions for Nonlinear Hawkes Processes. 3804-3811 - Vinith Misra, Sumit Bhatia:
Bernoulli Embeddings for Graphs. 3812-3819 - Alejandro Molina, Alexander Munteanu, Kristian Kersting:
Core Dependency Networks. 3820-3827 - Alejandro Molina, Antonio Vergari, Nicola Di Mauro, Sriraam Natarajan, Floriana Esposito, Kristian Kersting:
Mixed Sum-Product Networks: A Deep Architecture for Hybrid Domains. 3828-3835 - Yusuke Mukuta, Yoshitaka Ushiku, Tatsuya Harada:
Alternating Circulant Random Features for Semigroup Kernels. 3836-3843 - Sharad Nandanwar, M. Narasimha Murty:
Overlap-Robust Decision Boundary Learning for Within-Network Classification. 3844-3851 - Thanh Van Nguyen, Raymond K. W. Wong, Chinmay Hegde:
A Provable Approach for Double-Sparse Coding. 3852-3859 - Takayuki Osa, Masashi Sugiyama:
Hierarchical Policy Search via Return-Weighted Density Estimation. 3860-3867 - Takayuki Osogami, Rudy Raymond, Akshay Goel, Tomoyuki Shirai, Takanori Maehara:
Dynamic Determinantal Point Processes. 3868-3875 - Ruofei Ouyang, Kian Hsiang Low:
Gaussian Process Decentralized Data Fusion Meets Transfer Learning in Large-Scale Distributed Cooperative Perception. 3876-3883 - Mete Özay, Takayuki Okatani:
Training CNNs With Normalized Kernels. 3884-3891 - Guansong Pang, Longbing Cao, Ling Chen, Defu Lian, Huan Liu:
Sparse Modeling-Based Sequential Ensemble Learning for Effective Outlier Detection in High-Dimensional Numeric Data. 3892-3899 - Shameem Ahamed Puthiya Parambath, Nishant Vijayakumar, Sanjay Chawla:
SAGA: A Submodular Greedy Algorithm for Group Recommendation. 3900-3908 - Seongsik Park, Sei Joon Kim, Seil Lee, Ho Bae, Sungroh Yoon:
Quantized Memory-Augmented Neural Networks. 3909-3916 - Sungrae Park, Jun-Keon Park, Su-Jin Shin, Il-Chul Moon:
Adversarial Dropout for Supervised and Semi-Supervised Learning. 3917-3924 - Supratik Paul, Konstantinos I. Chatzilygeroudis, Kamil Ciosek, Jean-Baptiste Mouret, Michael A. Osborne, Shimon Whiteson:
Alternating Optimisation and Quadrature for Robust Control. 3925-3933 - Zhongyi Pei, Zhangjie Cao, Mingsheng Long, Jianmin Wang:
Multi-Adversarial Domain Adaptation. 3934-3941 - Ethan Perez, Florian Strub, Harm de Vries, Vincent Dumoulin, Aaron C. Courville:
FiLM: Visual Reasoning with a General Conditioning Layer. 3942-3951 - Silviu Pitis:
Source Traces for Temporal Difference Learning. 3952-3959 - Farhad Pourkamali-Anaraki, Stephen Becker, Michael B. Wakin:
Randomized Clustered Nystrom for Large-Scale Kernel Machines. 3960-3967 - Seyed Hamid Rezatofighi, Anton Milan, Qinfeng Shi, Anthony R. Dick, Ian D. Reid:
Joint Learning of Set Cardinality and State Distribution. 3968-3975 - Raif M. Rustamov, James T. Klosowski:
Interpretable Graph-Based Semi-Supervised Learning via Flows. 3976-3983 - Shota Saito, Danilo P. Mandic, Hideyuki Suzuki:
Hypergraph p-Laplacian: A Differential Geometry View. 3984-3991 - Aghiles Salah, Melissa Ailem, Mohamed Nadif:
Word Co-Occurrence Regularized Non-Negative Matrix Tri-Factorization for Text Data Co-Clustering. 3992-3999 - Saber Salehkaleybar, Jalal Etesami, Negar Kiyavash, Kun Zhang:
Learning Vector Autoregressive Models With Latent Processes. 4000-4007 - Swami Sankaranarayanan, Arpit Jain, Rama Chellappa, Ser-Nam Lim:
Regularizing Deep Networks Using Efficient Layerwise Adversarial Training. 4008-4015 - Pedro H. P. Savarese, Mayank Kakodkar, Bruno Ribeiro:
From Monte Carlo to Las Vegas: Improving Restricted Boltzmann Machine Training Through Stopping Sets. 4016-4025 - Shahin Shahrampour, Ahmad Beirami, Vahid Tarokh:
On Data-Dependent Random Features for Improved Generalization in Supervised Learning. 4026-4033 - Shiv Shankar, Sunita Sarawagi:
Labeled Memory Networks for Online Model Adaptation. 4034-4041 - Shashank Sharma, Vinay P. Namboodiri:
No Modes Left Behind: Capturing the Data Distribution Effectively Using GANs. 4042-4049 - Qi She, Yuan Gao, Kai Xu, Rosa H. M. Chan:
Reduced-Rank Linear Dynamical Systems. 4050-4057 - Jian Shen, Yanru Qu, Weinan Zhang, Yong Yu:
Wasserstein Distance Guided Representation Learning for Domain Adaptation. 4058-4065 - Xiaobo Shen, Weiwei Liu, Ivor W. Tsang, Quan-Sen Sun, Yew-Soon Ong:
Compact Multi-Label Learning. 4066-4073 - Shinichi Shirakawa, Yasushi Iwata, Youhei Akimoto:
Dynamic Optimization of Neural Network Structures Using Probabilistic Modeling. 4074-4082 - Adish Singla, Seyed Hamed Hassani, Andreas Krause:
Learning to Interact With Learning Agents. 4083-4090 - Huan Song, Deepta Rajan, Jayaraman J. Thiagarajan, Andreas Spanias:
Attend and Diagnose: Clinical Time Series Analysis Using Attention Models. 4091-4098 - Denis Steckelmacher, Diederik M. Roijers, Anna Harutyunyan, Peter Vrancx, Hélène Plisnier, Ann Nowé:
Reinforcement Learning in POMDPs With Memoryless Options and Option-Observation Initiation Sets. 4099-4106 - Gan Sun, Yang Cong, Xiaowei Xu:
Active Lifelong Learning With "Watchdog". 4107-4114 - Wesley Tansey, Karl Pichotta, James G. Scott:
Leaf-Smoothed Hierarchical Softmax for Ordinal Prediction. 4115-4122 - Hong Tao, Chenping Hou, Xinwang Liu, Tongliang Liu, Dongyun Yi, Jubo Zhu:
Reliable Multi-View Clustering. 4123-4130 - Arash Tavakoli, Fabio Pardo, Petar Kormushev:
Action Branching Architectures for Deep Reinforcement Learning. 4131-4138 - Shixin Tian, Guolei Yang, Ying Cai:
Detecting Adversarial Examples Through Image Transformation. 4139-4146 - Tian Tian, Yichi Zhou, Jun Zhu:
Selective Verification Strategy for Learning From Crowds. 4147-4154 - Anthony Tompkins, Fabio Ramos:
Fourier Feature Approximations for Periodic Kernels in Time-Series Modelling. 4155-4162 - Antonio Vergari, Robert Peharz, Nicola Di Mauro, Alejandro Molina, Kristian Kersting, Floriana Esposito:
Sum-Product Autoencoding: Encoding and Decoding Representations Using Sum-Product Networks. 4163-4170 - Ngo Anh Vien, Heiko Zimmermann, Marc Toussaint:
Bayesian Functional Optimization. 4171-4178 - Chen Wang, Le Zhang, Lihua Xie, Junsong Yuan:
Kernel Cross-Correlator. 4179-4186 - Li Wang, Dajiang Zhu, Yujie Chi:
Efficient Test-Time Predictor Learning With Group-Based Budget. 4187-4194 - Lichen Wang, Zhengming Ding, Yun Fu:
Learning Transferable Subspace for Human Motion Segmentation. 4195-4202 - Wei Wang, Hao Wang, Zhi-Yong Ran, Ran He:
Information-Theoretic Domain Adaptation Under Severe Noise Conditions. 4203-4210 - Wenlin Wang, Yunchen Pu, Vinay Kumar Verma, Kai Fan, Yizhe Zhang, Changyou Chen, Piyush Rai, Lawrence Carin:
Zero-Shot Learning via Class-Conditioned Deep Generative Models. 4211-4218 - Xishun Wang, Minjie Zhang, Fenghui Ren:
Sparse Gaussian Conditional Random Fields on Top of Recurrent Neural Networks. 4219-4226 - Yanjie Wang, Rainer Gemulla, Hui Li:
On Multi-Relational Link Prediction With Bilinear Models. 4227-4234 - Yanzhi Wang, Caiwen Ding, Zhe Li, Geng Yuan, Siyu Liao, Xiaolong Ma, Bo Yuan, Xuehai Qian, Jian Tang, Qinru Qiu, Xue Lin:
Towards Ultra-High Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-Optimization Framework. 4235-4243 - Yuanhong Wang, Yuyi Wang, Xingwu Liu, Juhua Pu:
On the ERM Principle With Networked Data. 4244-4251 - Yugang Wang, Ehsan Elhamifar:
High Rank Matrix Completion With Side Information. 4252-4259 - Yunhe Wang, Chang Xu, Chao Xu, Dacheng Tao:
Adversarial Learning of Portable Student Networks. 4260-4267 - Jianqiao Wangni:
Orthant-Wise Passive Descent Algorithms for Training L1-Regularized Models. 4268-4275 - Elia Van Wolputte, Evgeniya Korneva, Hendrik Blockeel:
MERCS: Multi-Directional Ensembles of Regression and Classification Trees. 4276-4283 - Guotian Xie, Ting Zhang, Kuiyuan Yang, Jianhuang Lai, Jingdong Wang:
Decoupled Convolutions for CNNs. 4284-4291 - Jianwen Xie, Yang Lu, Ruiqi Gao, Ying Nian Wu:
Cooperative Learning of Energy-Based Model and Latent Variable Model via MCMC Teaching. 4292-4301 - Ming-Kun Xie, Sheng-Jun Huang:
Partial Multi-Label Learning. 4302-4309 - Zheng Xie, Ming Li:
Semi-Supervised AUC Optimization Without Guessing Labels of Unlabeled Data. 4310-4317 - Youlu Xing, Furao Shen, Jinxi Zhao, Jingxin Pan, Ah-Hwee Tan:
Perception Coordination Network: A Framework for Online Multi-Modal Concept Acquisition and Binding. 4318-4325 - Qianqian Xu, Jiechao Xiong, Xi Chen, Qingming Huang, Yuan Yao:
HodgeRank With Information Maximization for Crowdsourced Pairwise Ranking Aggregation. 4326-4334 - Yuhui Xu, Yongzhuang Wang, Aojun Zhou, Weiyao Lin, Hongkai Xiong:
Deep Neural Network Compression With Single and Multiple Level Quantization. 4335-4342 - Niannan Xue, Jiankang Deng, Yannis Panagakis, Stefanos Zafeiriou:
Informed Non-Convex Robust Principal Component Analysis With Features. 4343-4349 - Jiexi Yan, Cheng Deng, Xianglong Liu:
Dictionary Learning in Optimal Metric Space. 4350-4357 - Jufeng Yang, Jie Liang, Kai Wang, Yong-Liang Yang, Ming-Ming Cheng:
Automatic Model Selection in Subspace Clustering via Triplet Relationships. 4358-4365 - Sikun Yang, Heinz Koeppl:
A Poisson Gamma Probabilistic Model for Latent Node-Group Memberships in Dynamic Networks. 4366-4373 - Xu Yang, Cheng Deng, Xianglong Liu, Feiping Nie:
New l2, 1-Norm Relaxation of Multi-Way Graph Cut for Clustering. 4374-4381 - Donghyun Yoo, Haoqi Fan, Vishnu Naresh Boddeti, Kris M. Kitani:
Efficient K-Shot Learning With Regularized Deep Networks. 4382-4389 - Shan You, Chang Xu, Chao Xu, Dacheng Tao:
Learning With Single-Teacher Multi-Student. 4390-4397 - Ao Zhang, Nan Li, Jian Pu, Jun Wang, Junchi Yan, Hongyuan Zha:
Tau-FPL: Tolerance-Constrained Learning in Linear Time. 4398-4405 - Changqing Zhang, Ehsan Adeli, Tao Zhou, Xiaobo Chen, Dinggang Shen:
Multi-Layer Multi-View Classification for Alzheimer's Disease Diagnosis. 4406-4413 - Changqing Zhang, Ziwei Yu, Qinghua Hu, Pengfei Zhu, Xinwang Liu, Xiaobo Wang:
Latent Semantic Aware Multi-View Multi-Label Classification. 4414-4421 - Jason (Jiasheng) Zhang, Dongwon Lee:
ROAR: Robust Label Ranking for Social Emotion Mining. 4422-4429 - Muhan Zhang, Zhicheng Cui, Shali Jiang, Yixin Chen:
Beyond Link Prediction: Predicting Hyperlinks in Adjacency Space. 4430-4437 - Muhan Zhang, Zhicheng Cui, Marion Neumann, Yixin Chen:
An End-to-End Deep Learning Architecture for Graph Classification. 4438-4445 - Qian-Wen Zhang, Yun Zhong, Min-Ling Zhang:
Feature-Induced Labeling Information Enrichment for Multi-Label Learning. 4446-4453 - Quanshi Zhang, Ruiming Cao, Feng Shi, Ying Nian Wu, Song-Chun Zhu:
Interpreting CNN Knowledge via an Explanatory Graph. 4454-4463 - Quanshi Zhang, Wenguan Wang, Song-Chun Zhu:
Examining CNN Representations With Respect to Dataset Bias. 4464-4473 - Teng Zhang, Zhi-Hua Zhou:
Optimal Margin Distribution Clustering. 4474-4481 - Xuezhou Zhang, Xiaojin Zhu, Stephen J. Wright:
Training Set Debugging Using Trusted Items. 4482-4489 - Zizhao Zhang, Yubo Zhang, Xibin Zhao, Yue Gao:
EMD Metric Learning. 4490-4497 - Liang Zhao, Junxiang Wang, Xiaojie Guo:
Distant-Supervision of Heterogeneous Multitask Learning for Social Event Forecasting With Multilingual Indicators. 4498-4505 - Peng Zhao, Zhi-Hua Zhou:
Label Distribution Learning by Optimal Transport. 4506-4513 - Xiaohan Zhao, Bo Zong, Ziyu Guan, Kai Zhang, Wei Zhao:
Substructure Assembling Network for Graph Classification. 4514-4521 - Xibin Zhao, Nan Wang, Heyuan Shi, Hai Wan, Jin Huang, Yue Gao:
Hypergraph Learning With Cost Interval Optimization. 4522-4529 - Zhibing Zhao, Tristan Villamil, Lirong Xia:
Learning Mixtures of Random Utility Models. 4530-4538 - Feng Zheng, Heng Huang:
Direct Hashing Without Pseudo-Labels. 4539-4546 - Kaiyu Zheng, Andrzej Pronobis, Rajesh P. N. Rao:
Learning Graph-Structured Sum-Product Networks for Probabilistic Semantic Maps. 4547-4555 - Xiang Zheng, Xiuyi Jia, Weiwei Li:
Label Distribution Learning by Exploiting Sample Correlations Locally. 4556-4563 - Chang Zhou, Jinze Bai, Junshuai Song, Xiaofei Liu, Zhengchao Zhao, Xiusi Chen, Jun Gao:
ATRank: An Attention-Based User Behavior Modeling Framework for Recommendation. 4564-4571 - Datong P. Zhou, Claire J. Tomlin:
Budget-Constrained Multi-Armed Bandits With Multiple Plays. 4572-4579 - Guorui Zhou, Ying Fan, Runpeng Cui, Weijie Bian, Xiaoqiang Zhu, Kun Gai:
Rocket Launching: A Universal and Efficient Framework for Training Well-Performing Light Net. 4580-4587 - Joey Tianyi Zhou, Kai Di, Jiawei Du, Xi Peng, Hao Yang, Sinno Jialin Pan, Ivor W. Tsang, Yong Liu, Zheng Qin, Rick Siow Mong Goh:
SC2Net: Sparse LSTMs for Sparse Coding. 4588-4595 - Yiren Zhou, Seyed-Mohsen Moosavi-Dezfooli, Ngai-Man Cheung, Pascal Frossard:
Adaptive Quantization for Deep Neural Network. 4596-4604 - Yuxun Zhou, Han Zou, Reza Arghandeh, Weixi Gu, Costas J. Spanos:
Non-Parametric Outliers Detection in Multiple Time Series A Case Study: Power Grid Data Analysis. 4605-4612 - Wanzheng Zhu, Chao Zhang, Shuochao Yao, Xiaobin Gao, Jiawei Han:
A Spherical Hidden Markov Model for Semantics-Rich Human Mobility Modeling. 4613-4620 - Linlin Zong, Xianchao Zhang, Xinyue Liu, Hong Yu:
Weighted Multi-View Spectral Clustering Based on Spectral Perturbation. 4621-4629
AAAI18 - Multiagent Systems
- Abhijin Adiga, Chris J. Kuhlman, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard Edwin Stearns:
Learning the Behavior of a Dynamical System Via a "20 Questions" Approach. 4630-4637 - Haris Aziz, Sylvain Bouveret, Ioannis Caragiannis, Ira Giagkousi, Jérôme Lang:
Knowledge, Fairness, and Social Constraints. 4638-4645 - Shuo Chen, Athirai Aravazhi Irissappane, Jie Zhang:
POMDP-Based Decision Making for Fast Event Handling in VANETs. 4646-4653 - Ziyu Chen, Tengfei Wu, Yanchen Deng, Cheng Zhang:
An Ant-Based Algorithm to Solve Distributed Constraint Optimization Problems. 4654-4661 - Frits de Nijs, Matthijs T. J. Spaan, Mathijs Michiel de Weerdt:
Preallocation and Planning Under Stochastic Resource Constraints. 4662-4669 - Palash Dey:
Manipulative Elicitation - A New Attack on Elections with Incomplete Preferences. 4670-4677 - Yannis Dimopoulos, Jean-Guy Mailly, Pavlos Moraitis:
Control Argumentation Frameworks. 4678-4685 - David Mguni, Joel Jennings, Enrique Munoz de Cote:
Decentralised Learning in Systems With Many, Many Strategic Agents. 4686-4693 - Shun Miao, Sebastien Piat, Peter Walter Fischer, Ahmet Tuysuzoglu, Philip Walter Mewes, Tommaso Mansi, Rui Liao:
Dilated FCN for Multi-Agent 2D/3D Medical Image Registration. 4694-4701 - Pavel Naumov, Jia Tao:
Strategic Coalitions With Perfect Recall. 4702-4709 - Gang Qiao, Sejong Yoon, Mubbasir Kapadia, Vladimir Pavlovic:
The Role of Data-Driven Priors in Multi-Agent Crowd Trajectory Estimation. 4710-4717 - Jiang Rong, Tao Qin, Bo An:
Dynamic Pricing for Reusable Resources in Competitive Market With Stochastic Demand. 4718-4726 - Fernando P. Santos, Jorge M. Pacheco, Francisco C. Santos:
Social Norms of Cooperation With Costly Reputation Building. 4727-4734 - Davide Tateo, Jacopo Banfi, Alessandro Riva, Francesco Amigoni, Andrea Bonarini:
Multiagent Connected Path Planning: PSPACE-Completeness and How to Deal With It. 4735-4742 - Bryan Wilder, Nicole Immorlica, Eric Rice, Milind Tambe:
Maximizing Influence in an Unknown Social Network. 4743-4750 - Kyle Hollins Wray, Akshat Kumar, Shlomo Zilberstein:
Integrated Cooperation and Competition in Multi-Agent Decision-Making. 4751-4758 - Feng Wu, Shlomo Zilberstein, Xiaoping Chen:
Privacy-Preserving Policy Iteration for Decentralized POMDPs. 4759-4766 - Yanhai Xiong, Haipeng Chen, Mengchen Zhao, Bo An:
HogRider: Champion Agent of Microsoft Malmo Collaborative AI Challenge. 4767-4775
AAAI18 - NLP and Knowledge Representation
- James F. Allen, Omid Bahkshandeh, William de Beaumont, Lucian Galescu, Choh Man Teng:
Effective Broad-Coverage Deep Parsing. 4776-4783 - Ziqiang Cao, Furu Wei, Wenjie Li, Sujian Li:
Faithful to the Original: Fact Aware Neural Abstractive Summarization. 4784-4791 - Kehai Chen, Rui Wang, Masao Utiyama, Eiichiro Sumita, Tiejun Zhao:
Syntax-Directed Attention for Neural Machine Translation. 4792-4799 - Ping Chen, Fei Wu, Tong Wang, Wei Ding:
A Semantic QA-Based Approach for Text Summarization Evaluation. 4800-4807 - Peng Fu, Zheng Lin, Fengcheng Yuan, Weiping Wang, Dan Meng:
Learning Sentiment-Specific Word Embedding via Global Sentiment Representation. 4808-4815 - Shu Guo, Quan Wang, Lihong Wang, Bin Wang, Li Guo:
Knowledge Graph Embedding With Iterative Guidance From Soft Rules. 4816-4823 - Amit Gupta, Rémi Lebret, Hamza Harkous, Karl Aberer:
280 Birds With One Stone: Inducing Multilingual Taxonomies From Wikipedia Using Character-Level Classification. 4824-4831 - Xu Han, Zhiyuan Liu, Maosong Sun:
Neural Knowledge Acquisition via Mutual Attention Between Knowledge Graph and Text. 4832-4839 - I-Ta Lee, Dan Goldwasser:
FEEL: Featured Event Embedding Learning. 4840-4847 - Wenqiang Lei, Yuanxin Xiang, Yuwei Wang, Qian Zhong, Meichun Liu, Min-Yen Kan:
Linguistic Properties Matter for Implicit Discourse Relation Recognition: Combining Semantic Interaction, Topic Continuity and Attribution. 4848-4855 - Chu-Cheng Lin, Dongyeop Kang, Michael Gamon, Patrick Pantel:
Actionable Email Intent Modeling With Reparametrized RNNs. 4856-4864 - Jian Liu, Yubo Chen, Kang Liu, Jun Zhao:
Event Detection via Gated Multilingual Attention Mechanism. 4865-4872 - Lemao Liu, Muhua Zhu, Shuming Shi:
Improving Sequence-to-Sequence Constituency Parsing. 4873-4880 - Tianyu Liu, Kexiang Wang, Lei Sha, Baobao Chang, Zhifang Sui:
Table-to-Text Generation by Structure-Aware Seq2seq Learning. 4881-4888 - Stefano Menini, Elena Cabrio, Sara Tonelli, Serena Villata:
Never Retreat, Never Retract: Argumentation Analysis for Political Speeches. 4889-4896 - Xiaochang Peng, Daniel Gildea, Giorgio Satta:
AMR Parsing With Cache Transition Systems. 4897-4904 - Sepideh Sadeghi, Matthias Scheutz:
Early Syntactic Bootstrapping in an Incremental Memory-Limited Word Learner. 4905-4912 - Vivian Dos Santos Silva, Siegfried Handschuh, André Freitas:
Recognizing and Justifying Text Entailment Through Distributional Navigation on Definition Graphs. 4913-4920 - Anant Subramanian, Danish Pruthi, Harsh Jhamtani, Taylor Berg-Kirkpatrick, Eduard H. Hovy:
SPINE: SParse Interpretable Neural Embeddings. 4921-4928 - Zhixing Tan, Mingxuan Wang, Jun Xie, Yidong Chen, Xiaodong Shi:
Deep Semantic Role Labeling With Self-Attention. 4929-4936 - Longyue Wang, Zhaopeng Tu, Shuming Shi, Tong Zhang, Yvette Graham, Qun Liu:
Translating Pro-Drop Languages With Reconstruction Models. 4937-4945 - Noah Weber, Niranjan Balasubramanian, Nathanael Chambers:
Event Representations With Tensor-Based Compositions. 4946-4953 - Ruobing Xie, Zhiyuan Liu, Fen Lin, Leyu Lin:
Does William Shakespeare REALLY Write Hamlet? Knowledge Representation Learning With Confidence. 4954-4961 - Hao Xiong, Zhongjun He, Xiaoguang Hu, Hua Wu:
Multi-Channel Encoder for Neural Machine Translation. 4962-4969 - Tom Young, Erik Cambria, Iti Chaturvedi, Hao Zhou, Subham Biswas, Minlie Huang:
Augmenting End-to-End Dialogue Systems With Commonsense Knowledge. 4970-4977 - Minghua Zhang, Yunfang Wu:
An Unsupervised Model With Attention Autoencoders for Question Retrieval. 4978-4986 - Qingyu Zhou, Nan Yang, Furu Wei, Ming Zhou:
Sequential Copying Networks. 4987-4995
AAAI18 - NLP and Machine Learning
- Chaitanya Ahuja, Louis-Philippe Morency:
Lattice Recurrent Unit: Improving Convergence and Statistical Efficiency for Sequence Modeling. 4996-5003 - Domagoj Alagic, Jan Snajder, Sebastian Padó:
Leveraging Lexical Substitutes for Unsupervised Word Sense Induction. 5004-5011 - Mikel Artetxe, Gorka Labaka, Eneko Agirre:
Generalizing and Improving Bilingual Word Embedding Mappings with a Multi-Step Framework of Linear Transformations. 5012-5019 - Junwei Bao, Duyu Tang, Nan Duan, Zhao Yan, Yuanhua Lv, Ming Zhou, Tiejun Zhao:
Table-to-Text: Describing Table Region With Natural Language. 5020-5027 - Yonatan Bisk, Kevin J. Shih, Yejin Choi, Daniel Marcu:
Learning Interpretable Spatial Operations in a Rich 3D Blocks World. 5028-5036 - Danushka Bollegala, Yuichi Yoshida, Ken-ichi Kawarabayashi:
Using k-Way Co-Occurrences for Learning Word Embeddings. 5037-5044 - Florin Adrian Bulgarov, Rodney Nielsen:
Proposition Entailment in Educational Applications using Deep Neural Networks. 8053-8054 - Shaosheng Cao, Wei Lu, Jun Zhou, Xiaolong Li:
cw2vec: Learning Chinese Word Embeddings with Stroke n-gram Information. 5053-5061 - Devendra Singh Chaplot, Ruslan Salakhutdinov:
Knowledge-based Word Sense Disambiguation using Topic Models. 5062-5069 - Junkun Chen, Xipeng Qiu, Pengfei Liu, Xuanjing Huang:
Meta Multi-Task Learning for Sequence Modeling. 5070-5077 - Xilun Chen, K. Selçuk Candan, Maria Luisa Sapino:
IMS-DTM: Incremental Multi-Scale Dynamic Topic Models. 5078-5085 - Yun Chen, Yang Liu, Victor O. K. Li:
Zero-Resource Neural Machine Translation with Multi-Agent Communication Game. 5086-5093 - Jihun Choi, Kang Min Yoo, Sang-goo Lee:
Learning to Compose Task-Specific Tree Structures. 5094-5101 - Jiangtao Feng, Xiaoqing Zheng:
Geometric Relationship between Word and Context Representations. 5102-5109 - Marjan Ghazvininejad, Chris Brockett, Ming-Wei Chang, Bill Dolan, Jianfeng Gao, Wen-tau Yih, Michel Galley:
A Knowledge-Grounded Neural Conversation Model. 5110-5117 - Ana Valeria González-Garduño, Anders Søgaard:
Learning to Predict Readability Using Eye-Movement Data From Natives and Learners. 5118-5124 - Jiatao Gu, Daniel Jiwoong Im, Victor O. K. Li:
Neural Machine Translation with Gumbel-Greedy Decoding. 5125-5132 - Jiatao Gu, Yong Wang, Kyunghyun Cho, Victor O. K. Li:
Search Engine Guided Neural Machine Translation. 5133-5140 - Jiaxian Guo, Sidi Lu, Han Cai, Weinan Zhang, Yong Yu, Jun Wang:
Long Text Generation via Adversarial Training with Leaked Information. 5141-5148 - Ankush Gupta, Arvind Agarwal, Prawaan Singh, Piyush Rai:
A Deep Generative Framework for Paraphrase Generation. 5149-5156 - Ting Han, Casey Kennington, David Schlangen:
Placing Objects in Gesture Space: Toward Incremental Interpretation of Multimodal Spatial Descriptions. 5157-5164 - Homa B. Hashemi, Rebecca Hwa:
Jointly Parse and Fragment Ungrammatical Sentences. 5165-5172 - Christopher Hidey, Kathleen R. McKeown:
Persuasive Influence Detection: The Role of Argument Sequencing. 5173-5180 - Shiou Tian Hsu, Changsung Moon, Paul Jones, Nagiza F. Samatova:
An Interpretable Generative Adversarial Approach to Classification of Latent Entity Relations in Unstructured Sentences. 5181-5188 - Tushar Khot, Ashish Sabharwal, Peter Clark:
SciTaiL: A Textual Entailment Dataset from Science Question Answering. 5189-5197 - Douwe Kiela, Edouard Grave, Armand Joulin, Tomás Mikolov:
Efficient Large-Scale Multi-Modal Classification. 5198-5204 - Haonan Li, Zhisong Zhang, Yuqi Ju, Hai Zhao:
Neural Character-level Dependency Parsing for Chinese. 5205-5212 - Juncen Li, Ping Luo, Fen Lin, Bo Chen:
Conversational Model Adaptation via KL Divergence Regularization. 5213-5219 - Zhongliang Li, Raymond Kulhanek, Shaojun Wang, Yunxin Zhao, Shuang Wu:
Slim Embedding Layers for Recurrent Neural Language Models. 5220-5228 - Yuding Liang, Kenny Qili Zhu:
Automatic Generation of Text Descriptive Comments for Code Blocks. 5229-5236 - Zachary C. Lipton, Xiujun Li, Jianfeng Gao, Lihong Li, Faisal Ahmed, Li Deng:
BBQ-Networks: Efficient Exploration in Deep Reinforcement Learning for Task-Oriented Dialogue Systems. 5237-5244 - Bing Liu, Tong Yu, Ian R. Lane, Ole J. Mengshoel:
Customized Nonlinear Bandits for Online Response Selection in Neural Conversation Models. 5245-5252 - Liyuan Liu, Jingbo Shang, Xiang Ren, Frank Fangzheng Xu, Huan Gui, Jian Peng, Jiawei Han:
Empower Sequence Labeling with Task-Aware Neural Language Model. 5253-5260 - Qian Liu, Heyan Huang, Guangquan Zhang, Yang Gao, Junyu Xuan, Jie Lu:
Semantic Structure-Based Word Embedding by Incorporating Concept Convergence and Word Divergence. 5261-5268 - Yang Liu, Wenge Rong, Zhang Xiong:
Improved Text Matching by Enhancing Mutual Information. 5269-5276 - Farhana Ferdousi Liza, Marek Grzes:
Improving Language Modelling with Noise Contrastive Estimation. 5277-5284 - Lajanugen Logeswaran, Honglak Lee, Dragomir R. Radev:
Sentence Ordering and Coherence Modeling using Recurrent Neural Networks. 5285-5292 - Nurul Lubis, Sakriani Sakti, Koichiro Yoshino, Satoshi Nakamura:
Eliciting Positive Emotion through Affect-Sensitive Dialogue Response Generation: A Neural Network Approach. 5293-5300 - Xufang Luo, Zijia Lin, Yunhong Wang, Zaiqing Nie:
CoChat: Enabling Bot and Human Collaboration for Task Completion. 5301-5308 - Tsvetomila Mihaylova, Preslav Nakov, Lluís Màrquez, Alberto Barrón-Cedeño, Mitra Mohtarami, Georgi Karadzhov, James R. Glass:
Fact Checking in Community Forums. 5309-5316 - Kaixiang Mo, Yu Zhang, Shuangyin Li, Jiajun Li, Qiang Yang:
Personalizing a Dialogue System With Transfer Reinforcement Learning. 5317-5324