Table of Contents

• Incorporating Behavioral Constraints in Online AI SystemsAvinash Balakrishnan, Djallel Bouneffouf, Nicholas Mattei, Francesca Rossi. 3-11 [doi]
• Outlier Aware Network Embedding for Attributed NetworksSambaran Bandyopadhyay, N. Lokesh, M. Narasimha Murty. 12-19 [doi]
• Comparative Document Summarisation via ClassificationUmanga Bista, Alexander Patrick Mathews, Minjeong Shin, Aditya Krishna Menon, Lexing Xie. 20-28 [doi]
• ColNet: Embedding the Semantics of Web Tables for Column Type PredictionJiaoyan Chen, Ernesto Jiménez-Ruiz, Ian Horrocks, Charles Sutton. 29-36 [doi]
• Improving One-Class Collaborative Filtering via Ranking-Based Implicit RegularizerJin Chen, Defu Lian, Kai Zheng 0001. 37-44 [doi]
• Answer Identification from Product Reviews for User Questions by Multi-Task Attentive NetworksLong Chen 0007, Ziyu Guan, Wei Zhao 0019, Wanqing Zhao, Xiaopeng Wang, Zhou Zhao, Huan Sun. 45-52 [doi]
• Dynamic Explainable Recommendation Based on Neural Attentive ModelsXu Chen, Yongfeng Zhang, Zheng Qin. 53-60 [doi]
• DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender SystemZhi-Hong Deng, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu. 61-68 [doi]
• TableSense: Spreadsheet Table Detection with Convolutional Neural NetworksHaoyu Dong, Shijie Liu, Shi Han, Zhouyu Fu, Dongmei Zhang. 69-76 [doi]
• Triple Classification Using Regions and Fine-Grained Entity TypingTiansi Dong, Zhigang Wang, Juanzi Li, Christian Bauckhage, Armin B. Cremers. 77-85 [doi]
• Dynamic Layer Aggregation for Neural Machine Translation with Routing-by-AgreementZi-Yi Dou, Zhaopeng Tu, Xing Wang, Longyue Wang, Shuming Shi, Tong Zhang. 86-93 [doi]
• Deeply Fusing Reviews and Contents for Cold Start Users in Cross-Domain Recommendation SystemsWenjing Fu, Zhaohui Peng, Senzhang Wang, Yang Xu, Jin Li. 94-101 [doi]
• Feature Sampling Based Unsupervised Semantic Clustering for Real Web Multi-View ContentXiaolong Gong, Linpeng Huang, Fuwei Wang. 102-109 [doi]
• Cooperative Multimodal Approach to Depression Detection in TwitterTao Gui, Liang Zhu, Qi Zhang 0001, Minlong Peng, Xu Zhou, Keyu Ding, Zhigang Chen. 110-117 [doi]
• Anchors Bring Ease: An Embarrassingly Simple Approach to Partial Multi-View ClusteringJun Guo, Jiahui Ye. 118-125 [doi]
• Y2Seq2Seq: Cross-Modal Representation Learning for 3D Shape and Text by Joint Reconstruction and Prediction of View and Word SequencesZhizhong Han, Mingyang Shang, Xiyang Wang, Yu-Shen Liu, Matthias Zwicker. 126-133 [doi]
• Learning to Align Question and Answer Utterances in Customer Service Conversation with Recurrent Pointer NetworksShizhu He, Kang Liu 0001, Weiting An. 134-141 [doi]
• Exploiting Background Knowledge in Compact Answer Generation for Why-QuestionsRyu Iida, Canasai Kruengkrai, Ryo Ishida, Kentaro Torisawa, Jong-Hoon Oh, Julien Kloetzer. 142-151 [doi]
• Graph Convolutional Networks Meet Markov Random Fields: Semi-Supervised Community Detection in Attribute NetworksDi Jin, Ziyang Liu, Weihao Li, Dongxiao He, Weixiong Zhang. 152-159 [doi]
• Incorporating Network Embedding into Markov Random Field for Better Community DetectionDi Jin, Xinxin You, Weihao Li, Dongxiao He, Peng Cui, Françoise Fogelman-Soulié, Tanmoy Chakraborty 0002. 160-167 [doi]
• Crawling the Community Structure of Multiplex NetworksRicky Laishram, Jeremy D. Wendt, Sucheta Soundarajan. 168-175 [doi]
• Coupled CycleGAN: Unsupervised Hashing Network for Cross-Modal RetrievalChao Li, Cheng Deng, Lei Wang, De Xie, Xianglong Liu. 176-183 [doi]
• Supervised User Ranking in Signed Social NetworksXiaoming Li, Hui Fang 0002, Jie Zhang. 184-191 [doi]
• Personalized Question Routing via Heterogeneous Network EmbeddingZeYu Li, Jyun-Yu Jiang, Yizhou Sun, Wei Wang. 192-199 [doi]
• Popularity Prediction on Online Articles with Deep Fusion of Temporal Process and Content FeaturesDongliang Liao, Jin Xu, Gongfu Li, Weijie Huang, Weiqing Liu, Jing Li. 200-207 [doi]
• Discrete Social RecommendationChenghao Liu, Xin Wang, Tao Lu, Wenwu Zhu 0001, Jianling Sun, Steven C. H. Hoi. 208-215 [doi]
• SNR: Sub-Network Routing for Flexible Parameter Sharing in Multi-Task LearningJiaqi Ma, Zhe Zhao, Jilin Chen, Ang Li, Lichan Hong, Ed H. Chi. 216-223 [doi]
• DTMT: A Novel Deep Transition Architecture for Neural Machine TranslationFandong Meng, Jinchao Zhang. 224-231 [doi]
• Multi-Perspective Relevance Matching with Hierarchical ConvNets for Social Media SearchJinfeng Rao, Wei Yang, Yuhao Zhang, Ferhan Türe, Jimmy Lin. 232-240 [doi]
• Unsupervised Neural Machine Translation with SMT as Posterior RegularizationShuo Ren, Zhirui Zhang, Shujie Liu 0001, Ming Zhou 0001, Shuai Ma. 241-248 [doi]
• Mining Entity Synonyms with Efficient Neural Set GenerationJiaming Shen, Ruiliang Lyu, Xiang Ren, Michelle Vanni, Brian M. Sadler, Jiawei Han 0001. 249-256 [doi]
• Surveys without Questions: A Reinforcement Learning ApproachAtanu R. Sinha, Deepali Jain, Nikhil Sheoran, Sopan Khosla, Reshmi Sasidharan. 257-264 [doi]
• ATP: Directed Graph Embedding with Asymmetric Transitivity PreservationJiankai Sun, Bortik Bandyopadhyay, Armin Bashizade, Jiongqian Liang, P. Sadayappan, Srinivasan Parthasarathy 0001. 265-272 [doi]
• Learning from Web Data Using Adversarial Discriminative Neural Networks for Fine-Grained ClassificationXiaoxiao Sun, Liyi Chen, Jufeng Yang. 273-280 [doi]
• Meimei: An Efficient Probabilistic Approach for Semantically Annotating TablesKunihiro Takeoka, Masafumi Oyamada, Shinji Nakadai, Takeshi Okadome. 281-288 [doi]
• DeepTileBars: Visualizing Term Distribution for Neural Information RetrievalZhiwen Tang, Grace Hui Yang. 289-296 [doi]
• Entity Alignment between Knowledge Graphs Using Attribute EmbeddingsBayu Distiawan Trisedya, Jianzhong Qi, Rui Zhang. 297-304 [doi]
• VistaNet: Visual Aspect Attention Network for Multimodal Sentiment AnalysisQuoc-Tuan Truong, Hady W. Lauw. 305-312 [doi]
• UGSD: User Generated Sentiment Dictionaries from Online Customer ReviewsChun-Hsiang Wang, Kang-Chun Fan, Chuan-Ju Wang, Ming-Feng Tsai. 313-320 [doi]
• Community Detection in Social Networks Considering Topic CorrelationsYingkui Wang, Di Jin, Katarzyna Musial, Jianwu Dang. 321-328 [doi]
• Community Focusing: Yet Another Query-Dependent Community DetectionZhuo Wang, Weiping Wang 0005, Chaokun Wang, Xiaoyan Gu, Bo Li, Dan Meng. 329-337 [doi]
• Multi-Level Deep Cascade Trees for Conversion Rate Prediction in Recommendation SystemHong Wen, Jing Zhang, Quan Lin, Keping Yang, Pipei Huang. 338-345 [doi]
• Session-Based Recommendation with Graph Neural NetworksShu Wu, Yuyuan Tang, Yanqiao Zhu 0001, Liang Wang, Xing Xie, Tieniu Tan. 346-353 [doi]
• CISI-net: Explicit Latent Content Inference and Imitated Style Rendering for Image InpaintingJing Xiao 0004, Liang Liao, Qiegen Liu, Ruimin Hu. 354-362 [doi]
• Structured and Sparse Annotations for Image Emotion Distribution LearningHaitao Xiong, Hongfu Liu, Bineng Zhong, Yun Fu 0001. 363-370 [doi]
• Multi-Interactive Memory Network for Aspect Based Multimodal Sentiment AnalysisNan Xu, Wenji Mao, Guandan Chen. 371-378 [doi]
• Multi-View Information-Theoretic Co-Clustering for Co-Occurrence DataPeng Xu, Zhaohong Deng, Kup-Sze Choi, Longbing Cao, Shitong Wang. 379-386 [doi]
• Context-Aware Self-Attention NetworksBaosong Yang, Jian Li, Derek F. Wong, Lidia S. Chao, Xing Wang, Zhaopeng Tu. 387-394 [doi]
• Adversarial Training for Community Question Answer Selection Based on Multi-Scale MatchingXiao Yang, Madian Khabsa, Miaosen Wang, Wei Wang, Ahmed Hassan Awadallah, Daniel Kifer, C. Lee Giles. 395-402 [doi]
• TransNFCM: Translation-Based Neural Fashion Compatibility ModelingXun Yang, Yunshan Ma, Lizi Liao, Meng Wang, Tat-Seng Chua. 403-410 [doi]
• Data Augmentation Based on Adversarial Autoencoder Handling Imbalance for Learning to RankQian Yu, Wai Lam. 411-418 [doi]
• Cross-Relation Cross-Bag Attention for Distantly-Supervised Relation ExtractionYujin Yuan, Liyuan Liu, Siliang Tang, Zhongfei Zhang, Yueting Zhuang, Shiliang Pu, Fei Wu, Xiang Ren. 419-426 [doi]
• Text Assisted Insight Ranking Using Context-Aware Memory NetworkQi Zeng, Liangchen Luo, Wenhao Huang, Yang Tang. 427-434 [doi]
• Hierarchical Reinforcement Learning for Course Recommendation in MOOCsJing Zhang, Bowen Hao, Bo Chen, Cuiping Li, Hong Chen 0001, Jimeng Sun. 435-442 [doi]
• Regularizing Neural Machine Translation by Target-Bidirectional AgreementZhirui Zhang, Shuangzhi Wu, Shujie Liu 0001, Mu Li, Ming Zhou 0001, Tong Xu. 443-450 [doi]
• Addressing the Under-Translation Problem from the Entropy PerspectiveYang Zhao, Jiajun Zhang, Chengqing Zong, Zhongjun He, Hua Wu. 451-458 [doi]
• Robust Online Matching with User Arrival Distribution DriftYu-Hang Zhou, Chen Liang, Nan Li, Cheng Yang, Shenghuo Zhu, Rong Jin. 459-466 [doi]
• Predicting Hurricane Trajectories Using a Recurrent Neural NetworkSheila Alemany, Jonathan Beltran, Adrián Pérez, Sam Ganzfried. 468-475 [doi]
• Automatic Detection and Compression for Passive Acoustic Monitoring of the African Forest ElephantJohan Bjorck, Brendan H. Rappazzo, Di Chen, Richard Bernstein, Peter H. Wrege, Carla P. Gomes. 476-484 [doi]
• Gated Residual Recurrent Graph Neural Networks for Traffic PredictionCen Chen, Kenli Li, Sin G. Teo, Xiaofeng Zou, Kang Wang, Jie Wang, Zeng Zeng. 485-492 [doi]
• Bias Reduction via End-to-End Shift Learning: Application to Citizen ScienceDi Chen, Carla P. Gomes. 493-500 [doi]
• Coverage Centrality Maximization in Undirected NetworksGianlorenzo D'Angelo, Martin Olsen, Lorenzo Severini. 501-508 [doi]
• Bayesian FairnessChristos Dimitrakakis, Yang Liu 0018, David C. Parkes, Goran Radanovic. 509-516 [doi]
• Understanding Dropouts in MOOCsWenzheng Feng, Jie Tang 0001, Tracy Xiao Liu. 517-524 [doi]
• Blameworthiness in Multi-Agent SettingsMeir Friedenberg, Joseph Y. Halpern. 525-532 [doi]
• Optimal Surveillance of Covert Networks by Minimizing Inverse Geodesic LengthSerge Gaspers, Kamran Najeebullah. 533-540 [doi]
• Resisting Adversarial Attacks Using Gaussian Mixture Variational AutoencodersPartha Ghosh, Arpan Losalka, Michael J. Black. 541-548 [doi]
• Migration as Submodular OptimizationPaul Gölz, Ariel D. Procaccia. 549-556 [doi]
• PGANs: Personalized Generative Adversarial Networks for ECG Synthesis to Improve Patient-Specific Deep ECG ClassificationTomer Golany, Kira Radinsky. 557-564 [doi]
• Selecting Compliant Agents for Opt-in Micro-TollingJosiah P. Hanna, Guni Sharon, Stephen D. Boyles, Peter Stone. 565-572 [doi]
• HireNet: A Hierarchical Attention Model for the Automatic Analysis of Asynchronous Video Job InterviewsLéo Hemamou, Ghazi Felhi, Vincent Vandenbussche, Jean-Claude Martin, Chloé Clavel. 573-581 [doi]
• Learning Diffusions without TimestampsHao Huang, Qian Yan, Ting Gan, Di Niu, Wei Lu, Yunjun Gao. 582-589 [doi]
• CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert ComparisonJeremy Irvin, Pranav Rajpurkar, Michael Ko, Yifan Yu, Silviana Ciurea-Ilcus, Chris Chute, Henrik Marklund, Behzad Haghgoo, Robyn L. Ball, Katie S. Shpanskaya, Jayne Seekins, David A. Mong, Safwan S. Halabi, Jesse K. Sandberg, Ricky Jones, David B. Larson, Curtis P. Langlotz, Bhavik N. Patel, Matthew P. Lungren, Andrew Y. Ng. 590-597 [doi]
• Evolutionarily Learning Multi-Aspect Interactions and Influences from Network Structure and Node ContentSonglei Jian, Liang Hu 0004, Longbing Cao, Kai Lu, Hang Gao. 598-605 [doi]
• Multi-GCN: Graph Convolutional Networks for Multi-View Networks, with Applications to Global PovertyMuhammad Raza Khan, Joshua E. Blumenstock. 606-613 [doi]
• Algorithms for Estimating Trends in Global Temperature VolatilityArash Khodadadi, Daniel J. McDonald. 614-621 [doi]
• Allocating Interventions Based on Predicted Outcomes: A Case Study on Homelessness ServicesAmanda Kube, Sanmay Das, Patrick J. Fowler. 622-629 [doi]
• ReAl-LiFE: Accelerating the Discovery of Individualized Brain Connectomes on GPUsSawan Kumar, Varsha Sreenivasan, Partha Talukdar, Franco Pestilli, Devarajan Sridharan. 630-638 [doi]
• Latent Dirichlet Allocation for Internet Price WarChenchen Li, Xiang Yan, Xiaotie Deng, Yuan Qi, Wei Chu, Le Song, Junlong Qiao, Jianshan He, Junwu Xiong. 639-646 [doi]
• Deep Hierarchical Graph Convolution for Election Prediction from Geospatial Census DataMike Li, Elija Perrier, Chang Xu. 647-654 [doi]
• Who Blames Whom in a Crisis? Detecting Blame Ties from News Articles Using Neural NetworksShuailong Liang, Olivia Nicol, Yue Zhang. 655-662 [doi]
• Convex Formulations for Fair Principal Component AnalysisMatt Olfat, Anil Aswani. 663-670 [doi]
• Violence Rating Prediction from Movie ScriptsVictor R. Martinez, Krishna Somandepalli, Karan Singla, Anil Ramakrishna, Yalda T. Uhls, Shrikanth Narayanan. 671-678 [doi]
• Image Aesthetic Assessment Assisted by Attributes through Adversarial LearningBowen Pan, Shangfei Wang, Qisheng Jiang. 679-686 [doi]
• A Model-Free Affective Reinforcement Learning Approach to Personalization of an Autonomous Social Robot Companion for Early Literacy EducationHae Won Park, Ishaan Grover, Samuel Spaulding, Louis Gomez, Cynthia Breazeal. 687-694 [doi]
• Emergency Department Online Patient-Caregiver SchedulingHanan Rosemarin, Ariel Rosenfeld, Sarit Kraus. 695-701 [doi]
• Multi3Net: Segmenting Flooded Buildings via Fusion of Multiresolution, Multisensor, and Multitemporal Satellite ImageryTim G. J. Rudner, Marc Rußwurm, Jakub Fil, Ramona Pelich, Benjamin Bischke, Veronika Kopacková, Piotr Bilinski. 702-709 [doi]
• Learning to Address Health Inequality in the United States with a Bayesian Decision NetworkTavpritesh Sethi, Anant Mittal, Shubham Maheshwari, Samarth Chugh. 710-717 [doi]
• Axiomatic Characterization of Data-Driven Influence Measures for ClassificationJakub Sliwinski, Martin Strobel, Yair Zick. 718-725 [doi]
• Hotels-50K: A Global Hotel Recognition DatasetAbby Stylianou, Hong Xuan, Maya Shende, Jonathan Brandt, Richard Souvenir, Robert Pless. 726-733 [doi]
• A Study of Educational Data Mining: Evidence from a Thai UniversityRuangsak Trakunphutthirak, Yen Cheung, Vincent C. S. Lee. 734-741 [doi]
• AutoZOOM: Autoencoder-Based Zeroth Order Optimization Method for Attacking Black-Box Neural NetworksChun Chen Tu, Pai-Shun Ting, Pin-Yu Chen, Sijia Liu 0001, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh, Shin-Ming Cheng. 742-749 [doi]
• Knowledge Tracing Machines: Factorization Machines for Knowledge TracingJill-Jênn Vie, Hisashi Kashima. 750-757 [doi]
• Forbidden Nodes Aware Community SearchChaokun Wang, Junchao Zhu. 758-765 [doi]
• Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health ProfilingHao Wang, Chengzhi Mao, Hao He, Mingmin Zhao, Tommi S. Jaakkola, Dina Katabi. 766-773 [doi]
• DeepETA: A Spatial-Temporal Sequential Neural Network Model for Estimating Time of Arrival in Package Delivery SystemFan Wu, LiXia Wu. 774-781 [doi]
• Zero Shot Learning for Code Education: Rubric Sampling with Deep Learning InferenceMike Wu, Milan Mosse, Noah Goodman, Chris Piech. 782-790 [doi]
• Detecting Incongruity between News Headline and Body Text via a Deep Hierarchical EncoderSeunghyun Yoon 0002, Kunwoo Park, Joongbo Shin, Hongjun Lim, Seungpil Won, Meeyoung Cha, Kyomin Jung. 791-800 [doi]
• EnsNet: Ensconce Text in the WildShuaitao Zhang, Yuliang Liu, Lianwen Jin, Yaoxiong Huang, Songxuan Lai. 801-808 [doi]
• Weakly-Supervised Simultaneous Evidence Identification and Segmentation for Automated Glaucoma DiagnosisRongchang Zhao, Wangmin Liao, Beiji Zou, Zailiang Chen, Shuo Li 0001. 809-816 [doi]
• A Neural Multi-Task Learning Framework to Jointly Model Medical Named Entity Recognition and NormalizationSendong Zhao, Ting Liu 0001, Sicheng Zhao, Fei Wang. 817-824 [doi]
• Exploiting Time-Series Image-to-Image Translation to Expand the Range of Wildlife Habitat AnalysisRuobing Zheng, Ze Luo, Baoping Yan. 825-832 [doi]
• Adversarial Unsupervised Representation Learning for Activity Time-SeriesKaran Aggarwal, Shafiq R. Joty, Luis Fernández-Luque, Jaideep Srivastava. 834-841 [doi]
• Beyond Speech: Generalizing D-Vectors for Biometric VerificationJacob Baldwin, Ryan Burnham, Andrew Meyer, Robert Dora, Robert Wright. 842-849 [doi]
• Deep Latent Generative Models for Energy DisaggregationGissella Bejarano, David DeFazio, Arti Ramesh. 850-857 [doi]
• Predicting Concrete and Abstract Entities in Modern PoetryFiammetta Caccavale, Anders Søgaard. 858-864 [doi]
• Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image SegmentationCheng Chen, Qi Dou, Hao Chen 0011, Jing Qin 0001, Pheng-Ann Heng. 865-872 [doi]
• Region-Based Message Exploration over Spatio-Temporal Data StreamsLisi Chen, Shuo Shang. 873-880 [doi]
• Deriving Subgoals Autonomously to Accelerate Learning in Sparse Reward DomainsMichael Dann, Fabio Zambetta, John Thangarajah. 881-889 [doi]
• Dynamic Spatial-Temporal Graph Convolutional Neural Networks for Traffic ForecastingZulong Diao, Xin Wang 0001, Dafang Zhang, Yingru Liu, Kun Xie, Shaoyao He. 890-897 [doi]
• Turbo Learning Framework for Human-Object Interactions Recognition and Human Pose EstimationWei Feng, WenTao Liu, Tong Li, Jing Peng, Chen Qian 0006, Xiaolin Hu. 898-905 [doi]
• Efficient Region Embedding with Multi-View Spatial Networks: A Perspective of Locality-Constrained Spatial AutocorrelationsYanjie Fu, Pengyang Wang, Jiadi Du, Le Wu, Xiaolin Li. 906-913 [doi]
• VidyutVanika: A Reinforcement Learning Based Broker Agent for a Power Trading CompetitionSusobhan Ghosh, Easwar Subramanian, Sanjay P. Bhat, Sujit Gujar, Praveen Paruchuri. 914-921 [doi]
• Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow ForecastingShengnan Guo, Youfang Lin, Ning Feng, Chao Song, Huaiyu Wan. 922-929 [doi]
• Deep Reinforcement Learning for Syntactic Error Repair in Student ProgramsRahul Gupta, Aditya Kanade, Shirish K. Shevade. 930-937 [doi]
• Exploiting Sentence Embedding for Medical Question AnsweringYu Hao, Xien Liu, Ji Wu, Ping Lv. 938-945 [doi]
• Cash-Out User Detection Based on Attributed Heterogeneous Information Network with a Hierarchical Attention MechanismBinbin Hu, Zhiqiang Zhang, Chuan Shi, Jun Zhou, Xiaolong Li, Yuan Qi. 946-953 [doi]
• Combo-Action: Training Agent For FPS Game with Auxiliary TasksShiyu Huang, Hang Su, Jun Zhu, Ting Chen. 954-961 [doi]
• Connecting the Digital and Physical World: Improving the Robustness of Adversarial AttacksSteve T. K. Jan, Joseph Messou, Yen-Chen Lin, Jia-Bin Huang, Gang Wang 0011. 962-969 [doi]
• A Memetic Approach for Sequential Security Games on a Plane with Moving TargetsJan Karwowski, Jacek Mandziuk, Adam Zychowski, Filip Grajek, Bo An. 970-977 [doi]
• Crash to Not Crash: Learn to Identify Dangerous Vehicles Using a SimulatorHoon Kim, Kangwook Lee, Gyeongjo Hwang, Changho Suh. 978-985 [doi]
• Traffic Updates: Saying a Lot While Revealing a LittleJohn Krumm, Eric Horvitz. 986-995 [doi]
• Adversarial Learning for Weakly-Supervised Social Network AlignmentChaozhuo Li, Senzhang Wang, Yukun Wang, Philip S. Yu, Yanbo Liang, Yun Liu, Zhoujun Li. 996-1003 [doi]
• Learning Heterogeneous Spatial-Temporal Representation for Bike-Sharing Demand PredictionYouru Li, Zhenfeng Zhu, Deqiang Kong, Meixiang Xu, Yao Zhao. 1004-1011 [doi]
• SEGAN: Structure-Enhanced Generative Adversarial Network for Compressed Sensing MRI ReconstructionZhongnian Li, Tao Zhang, Peng Wan, Daoqiang Zhang. 1012-1019 [doi]
• DeepSTN+: Context-Aware Spatial-Temporal Neural Network for Crowd Flow Prediction in MetropolisZiqian Lin, Jie Feng, Ziyang Lu, Yong Li, Depeng Jin. 1020-1027 [doi]
• Perceptual-Sensitive GAN for Generating Adversarial PatchesAishan Liu, Xianglong Liu, Jiaxin Fan, Yuqing Ma, Anlan Zhang, Huiyuan Xie, Dacheng Tao. 1028-1035 [doi]
• Joint Representation Learning for Multi-Modal Transportation RecommendationHao Liu, Ting Li, Renjun Hu, Yanjie Fu, Jingjing Gu, Hui Xiong. 1036-1043 [doi]
• DeepFuzz: Automatic Generation of Syntax Valid C Programs for Fuzz TestingXiao Liu, Xiaoting Li, Rupesh Prajapati, Dinghao Wu. 1044-1051 [doi]
• Molecular Property Prediction: A Multilevel Quantum Interactions Modeling PerspectiveChengqiang Lu, Qi Liu 0003, Chao Wang, Zhenya Huang, Peize Lin, Lixin He. 1052-1060 [doi]
• Play as You Like: Timbre-Enhanced Multi-Modal Music Style TransferChien-Yu Lu, Min-Xin Xue, Chia-Che Chang, Che-Rung Lee, Li Su. 1061-1068 [doi]
• AffinityNet: Semi-Supervised Few-Shot Learning for Disease Type PredictionTianle Ma, Aidong Zhang. 1069-1076 [doi]
• Scalable Robust Kidney ExchangeDuncan C. McElfresh, Hoda Bidkhori, John P. Dickerson. 1077-1084 [doi]
• Difficulty-Aware Attention Network with Confidence Learning for Medical Image SegmentationDong Nie, Li Wang 0026, Lei Xiang, Sihang Zhou, Ehsan Adeli, Dinggang Shen. 1085-1092 [doi]
• Pathological Evidence Exploration in Deep Retinal Image DiagnosisYuhao Niu, Lin Gu, Feng Lu 0005, Feifan Lv, Zongji Wang, Imari Sato, Zijian Zhang, Yangyan Xiao, Xunzhang Dai, Tingting Cheng. 1093-1101 [doi]
• Building Causal Graphs from Medical Literature and Electronic Medical RecordsGalia Nordon, Gideon Koren, Varda Shalev, Benny Kimelfeld, Uri Shalit, Kira Radinsky. 1102-1109 [doi]
• NeVAE: A Deep Generative Model for Molecular GraphsBidisha Samanta, Abir De, Gourhari Jana, Pratim Kumar Chattaraj, Niloy Ganguly, Manuel Gomez-Rodriguez. 1110-1117 [doi]
• PhoneMD: Learning to Diagnose Parkinson's Disease from Smartphone DataPatrick Schwab, Walter Karlen. 1118-1125 [doi]
• GAMENet: Graph Augmented MEmory Networks for Recommending Medication CombinationJunyuan Shang, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun. 1126-1133 [doi]
• The Kelly Growth Optimal Portfolio with Ensemble LearningWeiwei Shen, Bin Wang, Jian Pu, Jun Wang 0006. 1134-1141 [doi]
• Spatiality Preservable Factored Poisson Regression for Large-Scale Fine-Grained GPS-Based Population AnalysisMasamichi Shimosaka, Yuta Hayakawa, Kota Tsubouchi. 1142-1149 [doi]
• Subtask Gated Networks for Non-Intrusive Load MonitoringChangho Shin, Sunghwan Joo, Jaeryun Yim, Hyoseop Lee, Taesup Moon, Wonjong Rhee. 1150-1157 [doi]
• Improving Search with Supervised Learning in Trick-Based Card GamesChristopher Solinas, Douglas Rebstock, Michael Buro. 1158-1165 [doi]
• Exploiting the Contagious Effect for Employee Turnover PredictionMingfei Teng, Hengshu Zhu, Chuanren Liu, Chen Zhu, Hui Xiong. 1166-1173 [doi]
• PerformanceNet: Score-to-Audio Music Generation with Multi-Band Convolutional Residual NetworkBryan Wang, Yi-Hsuan Yang. 1174-1181 [doi]
• Differentially Private Empirical Risk Minimization with Smooth Non-Convex Loss Functions: A Non-Stationary ViewDi Wang, Jinhui Xu 0001. 1182-1189 [doi]
• Private Model Compression via Knowledge DistillationJi Wang, Weidong Bao, Lichao Sun, Xiaomin Zhu, Bokai Cao, Philip S. Yu. 1190-1197 [doi]
• Functional Connectivity Network Analysis with Discriminative Hub Detection for Brain Disease IdentificationMingliang Wang, Jiashuang Huang, Mingxia Liu, Daoqiang Zhang. 1198-1205 [doi]
• Hierarchical Macro Strategy Model for MOBA Game AIBin Wu. 1206-1213 [doi]
• G2C: A Generator-to-Classifier Framework Integrating Multi-Stained Visual Cues for Pathological Glomerulus ClassificationBingzhe Wu, Xiaolu Zhang, Shiwan Zhao, Lingxi Xie, Caihong Zeng, Zhihong Liu, Guangyu Sun. 1214-1221 [doi]
• On Strength Adjustment for MCTS-Based ProgramsI-Chen Wu, Ti-Rong Wu, An-Jen Liu, Hung Guei, Tinghan Wei. 1222-1229 [doi]
• A2-Net: Molecular Structure Estimation from Cryo-EM Density VolumesKui Xu, Zhe Wang, Jianping Shi, Hongsheng Li, Qiangfeng Cliff Zhang. 1230-1237 [doi]
• TET-GAN: Text Effects Transfer via Stylization and DestylizationShuai Yang, Jiaying Liu 0001, Wenjing Wang, Zongming Guo. 1238-1245 [doi]
• Learning Phenotypes and Dynamic Patient Representations via RNN Regularized Collective Non-Negative Tensor FactorizationKejing Yin, Dong Qian, William K. Cheung, Benjamin C. M. Fung, Jonathan Poon. 1246-1253 [doi]
• MetaStyle: Three-Way Trade-off among Speed, Flexibility, and Quality in Neural Style TransferChi Zhang, Yixin Zhu, Song Chun Zhu. 1254-1261 [doi]
• Optimal Interdiction of Urban Criminals with the Aid of Real-Time InformationYouzhi Zhang, Qingyu Guo, Bo An, Long Tran-Thanh, Nicholas R. Jennings. 1262-1269 [doi]
• Incorporating Semantic Similarity with Geographic Correlation for Query-POI Relevance LearningJi Zhao, Dan Peng, Chuhan Wu, Huan Chen, Meiyu Yu, Wanji Zheng, Li Ma, Hua Chai, Jieping Ye, Xiaohu Qie. 1270-1277 [doi]
• SAFE: A Neural Survival Analysis Model for Fraud Early DetectionPanpan Zheng, Shuhan Yuan, Xintao Wu. 1278-1285 [doi]
• One-Class Adversarial Nets for Fraud DetectionPanpan Zheng, Shuhan Yuan, Xintao Wu, Jun Li 0001, Aidong Lu. 1286-1293 [doi]
• DeepDPM: Dynamic Population Mapping via Deep Neural NetworkZefang Zong, Jie Feng, Kechun Liu, Hongzhi Shi, Yong Li. 1294-1301 [doi]
• Cognitive Deficit of Deep Learning in NumerosityXiaolin Wu 0001, Xi Zhang, Xiao Shu. 1303-1310 [doi]
• Direct Training for Spiking Neural Networks: Faster, Larger, BetterYujie Wu, Lei Deng, Guoqi Li, Jun Zhu, Yuan Xie 0001, Luping Shi. 1311-1318 [doi]
• TDSNN: From Deep Neural Networks to Deep Spike Neural Networks with Temporal-CodingLei Zhang, Shengyuan Zhou, Tian Zhi, Zidong Du, Yunji Chen. 1319-1326 [doi]
• MPD-AL: An Efficient Membrane Potential Driven Aggregate-Label Learning Algorithm for Spiking NeuronsMalu Zhang, Jibin Wu, Yansong Chua, Xiaoling Luo, Zihan Pan, Dan Liu, Haizhou Li 0001. 1327-1334 [doi]
• Human-Like Sketch Object Recognition via Analogical LearningKezhen Chen, Irina Rabkina, Matthew D. McLure, Kenneth D. Forbus. 1336-1343 [doi]
• Attentive Tensor Product LearningQiuyuan Huang, Li Deng 0001, Dapeng Oliver Wu, Chang Liu 0021, Xiaodong He 0001. 1344-1351 [doi]
• Scalable Recollections for Continual Lifelong LearningMatthew Riemer, Tim Klinger, Djallel Bouneffouf, Michele Franceschini. 1352-1359 [doi]
• Simulation-Based Approach to Efficient Commonsense Reasoning in Very Large Knowledge BasesAbhishek Sharma, Keith M. Goolsbey. 1360-1367 [doi]
• Modelling Autobiographical Memory Loss across Life SpanDi Wang 0004, Ah-Hwee Tan, Chunyan Miao, Ahmed A. Moustafa. 1368-1375 [doi]
• Deep Bayesian Optimization on Attributed GraphsJiaxu Cui, Bo Yang, Xia Hu. 1377-1384 [doi]
• Interpretable Predictive Modeling for Climate Variables with Weighted LassoSijie He, Xinyan Li, Vidyashankar Sivakumar, Arindam Banerjee. 1385-1392 [doi]
• A Deep Reinforcement Learning Framework for Rebalancing Dockless Bike Sharing SystemsLing Pan, Qingpeng Cai, Zhixuan Fang, Pingzhong Tang, Longbo Huang. 1393-1400 [doi]
• Deep Reinforcement Learning for Green Security Games with Real-Time InformationYufei Wang, Zheyuan Ryan Shi, Lantao Yu, Yi Wu, Rohit Singh, Lucas Joppa, Fei Fang. 1401-1408 [doi]
• A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series DataChuxu Zhang, Dongjin Song, Yuncong Chen, Xinyang Feng, Cristian Lumezanu, Wei Cheng, Jingchao Ni, Bo Zong, Haifeng Chen, Nitesh V. Chawla. 1409-1416 [doi]
• Learning Optimal and Fair Decision Trees for Non-Discriminative Decision-MakingSina Aghaei, Mohammad Javad Azizi, Phebe Vayanos. 1418-1426 [doi]
• Clairvoyant Restarts in Branch-and-Bound Search Using Online Tree-Size EstimationDaniel Anderson, Gregor Hendel, Pierre Le Bodic, Merlin Viernickel. 1427-1434 [doi]
• A SAT+CAS Approach to Finding Good Matrices: New Examples and CounterexamplesCurtis Bright, Dragomir Z. Ðokovic, Ilias Kotsireas, Vijay Ganesh. 1435-1442 [doi]
• Improving Optimization Bounds Using Machine Learning: Decision Diagrams Meet Deep Reinforcement LearningQuentin Cappart, Emmanuel Goutierre, David Bergman, Louis-Martin Rousseau. 1443-1451 [doi]
• Model-Based Diagnosis of Hybrid Systems Using Satisfiability Modulo TheoryAlexander Diedrich, Alexander Maier, Oliver Niggemann. 1452-1459 [doi]
• On Geometric Alignment in Low Doubling DimensionHu Ding, Mingquan Ye. 1460-1467 [doi]
• A Nonconvex Projection Method for Robust PCAAritra Dutta, Filip Hanzely, Peter Richtárik. 1468-1476 [doi]
• Solving Integer Quadratic Programming via Explicit and Structural RestrictionsEduard Eiben, Robert Ganian, Dusan Knop, Sebastian Ordyniak. 1477-1484 [doi]
• Stochastic Submodular Maximization with Performance-Dependent Item CostsTakuro Fukunaga, Takuya Konishi, Sumio Fujita, Ken-ichi Kawarabayashi. 1485-1494 [doi]
• Constraint-Based Sequential Pattern Mining with Decision DiagramsAmin Hosseininasab, Willem Jan van Hoeve, André A. Ciré. 1495-1502 [doi]
• Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth OptimizationFeihu Huang, Bin Gu, Zhouyuan Huo, Songcan Chen, Heng Huang. 1503-1510 [doi]
• Abduction-Based Explanations for Machine Learning ModelsAlexey Ignatiev, Nina Narodytska, João Marques-Silva. 1511-1519 [doi]
• Separator-Based Pruned Dynamic Programming for Steiner TreeYoichi Iwata, Takuto Shigemura. 1520-1527 [doi]
• Asynchronous Delay-Aware Accelerated Proximal Coordinate Descent for Nonconvex Nonsmooth ProblemsEhsan Kazemi 0003, Liqiang Wang. 1528-1535 [doi]
• A Recursive Algorithm for Projected Model CountingJean-Marie Lagniez, Pierre Marquis. 1536-1543 [doi]
• RSA: Byzantine-Robust Stochastic Aggregation Methods for Distributed Learning from Heterogeneous DatasetsLiPing Li, Wei Xu, Tianyi Chen, Georgios B. Giannakis, Qing Ling. 1544-1551 [doi]
• Adaptive Proximal Average Based Variance Reducing Stochastic Methods for Optimization with Composite RegularizationJingchang Liu, Linli Xu, Junliang Guo, Xin Sheng. 1552-1559 [doi]
• Automatic Construction of Parallel Portfolios via Explicit Instance GroupingShengcai Liu, Ke Tang, Xin Yao 0001. 1560-1567 [doi]
• On Sampling Complexity of the Semidefinite Affine Rank Feasibility ProblemIgor Molybog, Javad Lavaei. 1568-1575 [doi]
• Revisiting Projection-Free Optimization for Strongly Convex Constraint SetsJarrid Rector-Brooks, Jun-Kun Wang, Barzan Mozafari. 1576-1583 [doi]
• A PSPACE Subclass of Dependency Quantified Boolean Formulas and Its Effective SolvingChristoph Scholl, Jie-Hong Roland Jiang, Ralf Wimmer, Aile Ge-Ernst. 1584-1591 [doi]
• BIRD: Engineering an Efficient CNF-XOR SAT Solver and Its Applications to Approximate Model CountingMate Soos, Kuldeep S. Meel. 1592-1599 [doi]
• Algorithms for Average Regret MinimizationSabine Storandt, Stefan Funke. 1600-1607 [doi]
• Concurrency Debugging with MaxSMTMiguel Terra-Neves, Nuno Machado, Inês Lynce, Vasco M. Manquinho. 1608-1616 [doi]
• Bayesian Functional Optimisation with Shape PriorPratibha Vellanki, Santu Rana, Sunil Kumar Gupta 0001, David Rubin de Celis Leal, Alessandra Sutti, Murray Height, Svetha Venkatesh. 1617-1624 [doi]
• Learning Optimal Classification Trees Using a Binary Linear Program FormulationSicco Verwer, Yingqian Zhang. 1625-1632 [doi]
• Asynchronous Proximal Stochastic Gradient Algorithm for Composition Optimization ProblemsPengfei Wang, Risheng Liu, Nenggan Zheng, Zhefeng Gong. 1633-1640 [doi]
• Low-Rank Semidefinite Programming for the MAX2SAT ProblemPo-Wei Wang, J. Zico Kolter. 1641-1649 [doi]
• Task Embedded Coordinate Update: A Realizable Framework for Multivariate Non-Convex OptimizationYiyang Wang, Risheng Liu, Long Ma, Xiaoliang Song. 1650-1657 [doi]
• Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial OptimizationBryan Wilder, Bistra Dilkina, Milind Tambe. 1658-1665 [doi]
• Adding Constraints to Bayesian Inverse ProblemsJiacheng Wu, Jian Xun Wang, Shawn C. Shadden. 1666-1673 [doi]
• Optimizing in the Dark: Learning an Optimal Solution through a Simple Request InterfaceQiao Xiang, Haitao Yu, James Aspnes, Franck Le, Linghe Kong, Yang Richard Yang. 1674-1681 [doi]
• Generalized Batch Normalization: Towards Accelerating Deep Neural NetworksXiaoyong Yuan, Zheng Feng, Matthew Norton, Xiaolin Li 0001. 1682-1689 [doi]
• Tackling Sparse Rewards in Real-Time Games with Statistical Forward Planning MethodsRaluca D. Gaina, Simon M. Lucas, Diego Pérez-Liébana. 1691-1698 [doi]
• Regular BoardgamesJakub Kowalski, Maksymilian Mika, Jakub Sutowicz, Marek Szykula. 1699-1706 [doi]
• 3D Face Synthesis Driven by Personality ImpressionYining Lang, Wei Liang, Yujia Wang, Lap-Fai Yu. 1707-1714 [doi]
• Learning to Write Stories with Thematic Consistency and Wording NoveltyJuntao Li, Lidong Bing, Lisong Qiu, Dongmin Chen, Dongyan Zhao 0001, Rui Yan. 1715-1722 [doi]
• The Pure Price of Anarchy of Pool Block Withholding Attacks in Bitcoin MiningColleen Alkalay-Houlihan, Nisarg Shah 0001. 1724-1731 [doi]
• Fair Division with a Secretive AgentEshwar Ram Arunachaleswaran, Siddharth Barman, Nidhi Rathi. 1732-1739 [doi]
• Pareto Optimal Allocation under Compact Uncertain PreferencesHaris Aziz 0001, Péter Biró, Ronald de Haan, Baharak Rastegari. 1740-1747 [doi]
• On the Proximity of Markets with Integral EquilibriaSiddharth Barman, Sanath Kumar Krishnamurthy. 1748-1755 [doi]
• Unknown Agents in Friends Oriented Hedonic Games: Stability and ComplexityNathanaël Barrot, Kazunori Ota, Yuko Sakurai, Makoto Yokoo. 1756-1763 [doi]
• Generalized Distance BriberyDorothea Baumeister, Tobias Hogrebe, Lisa Rey. 1764-1771 [doi]
• From Recommendation Systems to Facility Location GamesOmer Ben-Porat, Gregory Goren, Itay Rosenberg, Moshe Tennenholtz. 1772-1779 [doi]
• Convergence of Learning Dynamics in Information Retrieval GamesOmer Ben-Porat, Itay Rosenberg, Moshe Tennenholtz. 1780-1787 [doi]
• Low-Distortion Social Welfare FunctionsGerdus Benadè, Ariel D. Procaccia, Mingda Qiao. 1788-1795 [doi]
• On Rational Delegations in Liquid DemocracyDaan Bloembergen, Davide Grossi, Martin Lackner. 1796-1803 [doi]
• Primarily about PrimariesAllan Borodin, Omer Lev, Nisarg Shah 0001, Tyrone Strangway. 1804-1811 [doi]
• Walrasian Dynamics in Multi-Unit MarketsSimina Brânzei, Aris Filos-Ratsikas. 1812-1819 [doi]
• Fast Iterative Combinatorial Auctions via Bayesian LearningGianluca Brero, Sébastien Lahaie, Sven Seuken. 1820-1828 [doi]
• Solving Imperfect-Information Games via Discounted Regret MinimizationNoam Brown, Tuomas Sandholm. 1829-1836 [doi]
• Partial Verification as a Substitute for MoneySofia Ceppi, Ian A. Kash, Rafael M. Frongillo. 1837-1844 [doi]
• Randomized Wagering MechanismsYiling Chen, Yang Liu, Juntao Wang. 1845-1852 [doi]
• Group Fairness for the Allocation of Indivisible GoodsVincent Conitzer, Rupert Freeman, Nisarg Shah 0001, Jennifer Wortman Vaughan. 1853-1860 [doi]
• Solving Large Extensive-Form Games with Strategy ConstraintsTrevor Davis, Kevin Waugh, Michael Bowling. 1861-1868 [doi]
• On the Complexity of the Inverse Semivalue Problem for Weighted Voting GamesIlias Diakonikolas, Chrystalla Pavlou. 1869-1876 [doi]
• Balancing Relevance and Diversity in Online Bipartite Matching via SubmodularityJohn P. Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Pan Xu. 1877-1884 [doi]
• Online Pandora's Boxes and BanditsHossein Esfandiari, Mohammad Taghi Hajiaghayi, Brendan Lucier, Michael Mitzenmacher. 1885-1892 [doi]
• Random Dictators with a Random Referee: Constant Sample Complexity Mechanisms for Social ChoiceBrandon Fain, Ashish Goel, Kamesh Munagala, Nina Prabhu. 1893-1900 [doi]
• Approximation and Hardness of Shift-BriberyPiotr Faliszewski, Pasin Manurangsi, Krzysztof Sornat. 1901-1908 [doi]
• How Similar Are Two Elections?Piotr Faliszewski, Piotr Skowron, Arkadii Slinko, Stanislaw Szufa, Nimrod Talmon. 1909-1916 [doi]
• Online Convex Optimization for Sequential Decision Processes and Extensive-Form GamesGabriele Farina, Christian Kroer, Tuomas Sandholm. 1917-1925 [doi]
• An Improved Quasi-Polynomial Algorithm for Approximate Well-Supported Nash EquilibriaMichail Fasoulakis, Evangelos Markakis. 1926-1932 [doi]
• Very Hard Electoral Control ProblemsZack Fitzsimmons, Edith Hemaspaandra, Alexander Hoover, David E. Narváez. 1933-1940 [doi]
• Fair KnapsackTill Fluschnik, Piotr Skowron, Mervin Triphaus, Kai Wilker. 1941-1948 [doi]
• A Bridge between Liquid and Social Welfare in Combinatorial Auctions with Submodular BiddersDimitris Fotakis, Kyriakos Lotidis, Chara Podimata. 1949-1956 [doi]
• An Equivalence between Wagering and Fair-Division MechanismsRupert Freeman, David M. Pennock, Jennifer Wortman Vaughan. 1957-1964 [doi]
• Fair and Efficient Memory Sharing: Confronting Free RidersEric J. Friedman, Vasilis Gkatzelis, Christos-Alexandros Psomas, Scott Shenker. 1965-1972 [doi]
• Multi-Unit Bilateral TradeMatthias Gerstgrasser, Paul W. Goldberg, Bart de Keijzer, Philip Lazos, Alexander Skopalik. 1973-1980 [doi]
• On the Distortion Value of the Elections with AbstentionMohammad Ghodsi, Mohamad Latifian, Masoud Seddighin. 1981-1988 [doi]
• Pareto Efficient Auctions with Interest RatesGagan Goel, Vahab S. Mirrokni, Renato Paes Leme. 1989-1995 [doi]
• Deep Bayesian Trust: A Dominant and Fair Incentive Mechanism for CrowdNaman Goel, Boi Faltings. 1996-2003 [doi]
• You Get What You Share: Incentives for a Sharing EconomySreenivas Gollapudi, Kostas Kollias, Debmalya Panigrahi. 2004-2011 [doi]
• Computing the Yolk in Spatial Voting Games without Computing Median LinesJoachim Gudmundsson, Sampson Wong. 2012-2019 [doi]
• On the Inducibility of Stackelberg Equilibrium for Security GamesQingyu Guo, Jiarui Gan, Fei Fang, Long Tran-Thanh, Milind Tambe, Bo An. 2020-2028 [doi]
• Solving Partially Observable Stochastic Games with Public ObservationsKarel Horák, Branislav Bosanský. 2029-2036 [doi]
• Object Reachability via Swaps along a LineSen Huang, Mingyu Xiao. 2037-2044 [doi]
• Pareto-Optimal Allocation of Indivisible Goods with Connectivity ConstraintsAyumi Igarashi, Dominik Peters. 2045-2052 [doi]
• Forming Probably Stable Communities with Limited InteractionsAyumi Igarashi, Jakub Sliwinski, Yair Zick. 2053-2060 [doi]
• Approximate Inference of Outcomes in Probabilistic ElectionsBatya Kenig, Benny Kimelfeld. 2061-2068 [doi]
• "Reverse Gerrymandering": Manipulation in Multi-Group Decision MakingOmer Lev, Yoad Lewenberg. 2069-2076 [doi]
• Heuristic Voting as Ordinal Dominance StrategiesOmer Lev, Reshef Meir, Svetlana Obraztsova, Maria Polukarov. 2077-2084 [doi]
• Cooperation Enforcement and Collusion Resistance in Repeated Public Goods GamesKai Li, Dong Hao. 2085-2092 [doi]
• Revenue Enhancement via Asymmetric Signaling in Interdependent-Value AuctionsZhuoshu Li, Sanmay Das. 2093-2100 [doi]
• Dynamic Contracting under Positive CommitmentIlan Lobel, Renato Paes Leme. 2101-2108 [doi]
• When Do Envy-Free Allocations Exist?Pasin Manurangsi, Warut Suksompong. 2109-2116 [doi]
• Quasi-Perfect Stackelberg EquilibriumAlberto Marchesi, Gabriele Farina, Christian Kroer, Nicola Gatti 0001, Tuomas Sandholm. 2117-2124 [doi]
• Optimal Dynamic Auctions Are Virtual Welfare MaximizersVahab S. Mirrokni, Renato Paes Leme, Pingzhong Tang, Song Zuo. 2125-2132 [doi]
• Deception in Finitely Repeated Security GamesThanh Hong Nguyen, Yongzhao Wang, Arunesh Sinha, Michael P. Wellman. 2133-2140 [doi]
• Fairly Allocating Many Goods with Few QueriesHoon Oh, Ariel D. Procaccia, Warut Suksompong. 2141-2148 [doi]
• Learning Optimal Strategies to Commit ToBinghui Peng, Weiran Shen, Pingzhong Tang, Song Zuo. 2149-2156 [doi]
• Variance Reduction in Monte Carlo Counterfactual Regret Minimization (VR-MCCFR) for Extensive Form Games Using BaselinesMartin Schmid, Neil Burch, Marc Lanctot, Matej Moravcik, Rudolf Kadlec, Michael Bowling. 2157-2164 [doi]
• Mechanism Design for Multi-Type Housing Markets with Acceptable BundlesSujoy Sikdar, Sibel Adali, Lirong Xia. 2165-2172 [doi]
• Learning Deviation Payoffs in Simulation-Based GamesSamuel Sokota, Caleb Ho, Bryce Wiedenbeck. 2173-2180 [doi]
• A Framework for Approval-Based Budgeting MethodsNimrod Talmon, Piotr Faliszewski. 2181-2188 [doi]
• Practical Algorithms for Multi-Stage Voting Rules with Parallel Universes TiebreakingJun Wang, Sujoy Sikdar, Tyler Shepherd, Zhibing Zhao, Chunheng Jiang, Lirong Xia. 2189-2196 [doi]
• Random Walk Decay CentralityTomasz Was, Talal Rahwan, Oskar Skibski. 2197-2204 [doi]
• Poll-Confident Voters in Iterative VotingAnaëlle Wilczynski. 2205-2212 [doi]
• Defending Elections against Malicious Spread of MisinformationBryan Wilder, Yevgeniy Vorobeychik. 2213-2220 [doi]
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• A Better Algorithm for Societal TradeoffsHanrui Zhang, Yu Cheng, Vincent Conitzer. 2229-2236 [doi]
• A PAC Framework for Aggregating Agents' JudgmentsHanrui Zhang, Vincent Conitzer. 2237-2244 [doi]
• Preference-Aware Task Assignment in On-Demand Taxi Dispatching: An Online Stable Matching ApproachBoming Zhao, Pan Xu, Yexuan Shi, Yongxin Tong, Zimu Zhou, Yuxiang Zeng. 2245-2252 [doi]
• Distributionally Adversarial AttackTianhang Zheng, Changyou Chen, Kui Ren 0001. 2253-2260 [doi]
• A Two-Individual Based Evolutionary Algorithm for the Flexible Job Shop Scheduling ProblemJunwen Ding, Zhipeng Lü, Chu Min Li, Liji Shen, Liping Xu, Fred W. Glover. 2262-2271 [doi]
• Greedy Maximization of Functions with Bounded Curvature under Partition Matroid ConstraintsTobias Friedrich 0001, Andreas Göbel 0001, Frank Neumann 0001, Francesco Quinzan, Ralf Rothenberger. 2272-2279 [doi]
• Heuristic Search Algorithm for Dimensionality Reduction Optimally Combining Feature Selection and Feature ExtractionBaokun He, Swair Shah, Crystal Maung, Gordon Arnold, Guihong Wan, Haim Schweitzer. 2280-2287 [doi]
• On the Optimal Efficiency of Cost-Algebraic ARobert C. Holte, Sandra Zilles. 2288-2295 [doi]
• Running Time Analysis of MOEA/D with Crossover on Discrete Optimization ProblemZhengxin Huang, Yuren Zhou, Zefeng Chen, Xiaoyu He. 2296-2303 [doi]
• Bézier Simplex Fitting: Describing Pareto Fronts of Simplicial Problems with Small Samples in Multi-Objective OptimizationKen Kobayashi, Naoki Hamada, Akiyoshi Sannai, Akinori Tanaka, Kenichi Bannai, Masashi Sugiyama. 2304-2313 [doi]
• Fine-Grained Search Space Classification for Hard Enumeration Variants of Subset ProblemsJuho Lauri, Sourav Dutta. 2314-2321 [doi]
• On the Time Complexity of Algorithm Selection Hyper-Heuristics for Multimodal OptimisationAndrei Lissovoi, Pietro Simone Oliveto, John Alasdair Warwicker. 2322-2329 [doi]
• Evolving Action Abstractions for Real-Time Planning in Extensive-Form GamesJulian R. H. Mariño, Rubens O. Moraes, Cláudio Toledo, Levi H. S. Lelis. 2330-2337 [doi]
• Real-Time Planning as Decision-Making under UncertaintyAndrew Mitchell, Wheeler Ruml, Fabian Spaniol, Jörg Hoffmann 0001, Marek Petrik. 2338-2345 [doi]
• Evolving Solutions to Community-Structured Satisfiability FormulasFrank Neumann 0001, Andrew M. Sutton. 2346-2353 [doi]
• Pareto Optimization for Subset Selection with Dynamic Cost ConstraintsVahid Roostapour, Aneta Neumann, Frank Neumann 0001, Tobias Friedrich 0001. 2354-2361 [doi]
• Stepping Stones to Inductive Synthesis of Low-Level Looping ProgramsChristopher D. Rosin. 2362-2370 [doi]
• Allocating Planning Effort When Actions ExpireShahaf S. Shperberg, Andrew Coles, Bence Cserna, Erez Karpas, Wheeler Ruml, Solomon Eyal Shimony. 2371-2378 [doi]
• Enriching Non-Parametric Bidirectional Search AlgorithmsShahaf S. Shperberg, Ariel Felner, Nathan R. Sturtevant, Solomon Eyal Shimony, Avi Hayoun. 2379-2386 [doi]
• Bounded Suboptimal Search with Learned Heuristics for Multi-Agent SystemsMarkus Spies, Marco Todescato, Hannes Becker, Patrick Kesper, Nicolai Waniek, Meng Guo. 2387-2394 [doi]
• An Improved Generic Bet-and-Run Strategy with Performance Prediction for Stochastic Local SearchThomas Weise 0001, Zijun Wu, Markus Wagner 0007. 2395-2402 [doi]
• Fuzzy-Classification Assisted Solution Preselection in Evolutionary OptimizationAimin Zhou, Jinyuan Zhang, Jianyong Sun, Guixu Zhang. 2403-2410 [doi]
• One-Network Adversarial FairnessTameem Adel, Isabel Valera, Zoubin Ghahramani, Adrian Weller. 2412-2420 [doi]
• Making Money from What You Know - How to Sell Information?Shani Alkoby, Zihe Wang, David Sarne, Pingzhong Tang. 2421-2428 [doi]
• Updates in Human-AI Teams: Understanding and Addressing the Performance/Compatibility TradeoffGagan Bansal, Besmira Nushi, Ece Kamar, Daniel S. Weld, Walter S. Lasecki, Eric Horvitz. 2429-2437 [doi]
• Human-in-the-Loop Feature SelectionAlvaro H. C. Correia, Freddy Lécué. 2438-2445 [doi]
• Verifying Robustness of Gradient Boosted ModelsGil Einziger, Maayan Goldstein, Yaniv Sa'ar, Itai Segall. 2446-2453 [doi]
• Counterfactual Randomization: Rescuing Experimental Studies from Obscured ConfoundingAndrew Forney, Elias Bareinboim. 2454-2461 [doi]
• Efficiently Combining Human Demonstrations and Interventions for Safe Training of Autonomous Systems in Real-TimeVinicius G. Goecks, Gregory M. Gremillion, Vernon J. Lawhern, John Valasek, Nicholas R. Waytowich. 2462-2470 [doi]
• Task Transfer by Preference-Based Cost LearningMingxuan Jing, Xiaojian Ma, Wen-bing Huang, Fuchun Sun, Huaping Liu 0001. 2471-2478 [doi]
• RGBD Based Gaze Estimation via Multi-Task CNNDongze Lian, Ziheng Zhang, Weixin Luo, Lina Hu, Minye Wu, Zechao Li, Jingyi Yu, Shenghua Gao. 2488-2495 [doi]
• Deep Neural Networks Constrained by Decision RulesYuzuru Okajima, Kunihiko Sadamasa. 2496-2505 [doi]
• Geometry-Aware Face Completion and EditingLinsen Song, Jie Cao, Lingxiao Song, Yibo Hu, Ran He. 2506-2513 [doi]
• Generation of Policy-Level Explanations for Reinforcement LearningNicholay Topin, Manuela Veloso. 2514-2521 [doi]
• Learning Models of Sequential Decision-Making with Partial Specification of Agent BehaviorVaibhav V. Unhelkar, Julie A. Shah. 2522-2530 [doi]
• Augmenting Markov Decision Processes with AdvisingLoïs Vanhée, Laurent Jeanpierre, Abdel-Illah Mouaddib. 2531-2538 [doi]
• FLEX: Faithful Linguistic Explanations for Neural Net Based Model DecisionsSandareka Wickramanayake, Wynne Hsu, Mong-Li Lee. 2539-2546 [doi]
• Interactive Semantic Parsing for If-Then Recipes via Hierarchical Reinforcement LearningZiyu Yao, Xiujun Li, Jianfeng Gao, Brian M. Sadler, Huan Sun. 2547-2554 [doi]
• Deep Transformation Method for Discriminant Analysis of Multi-Channel Resting State fMRIAbhay M. S. Aradhya, Aditya Joglekar, Sundaram Suresh, Mahardhika Pratama. 2556-2563 [doi]
• AI-Sketcher : A Deep Generative Model for Producing High-Quality SketchesNan Cao, Xin Yan, Yang Shi, Chaoran Chen. 2564-2571 [doi]
• Election with Bribed Voter Uncertainty: Hardness and Approximation AlgorithmLin Chen, Lei Xu, Shouhuai Xu, Zhimin Gao, Weidong Shi. 2572-2579 [doi]
• Human Motion Prediction via Learning Local Structure Representations and Temporal DependenciesXiao Guo, Jongmoo Choi. 2580-2587 [doi]
• Lipper: Synthesizing Thy Speech Using Multi-View LipreadingYaman Kumar, Rohit Jain, Khwaja Mohd. Salik, Rajiv Ratn Shah, Yifang Yin, Roger Zimmermann. 2588-2595 [doi]
• Goal-Oriented Dialogue Policy Learning from FailuresKeting Lu, ShiQi Zhang, Xiaoping Chen. 2596-2603 [doi]
• Be Inaccurate but Don't Be Indecisive: How Error Distribution Can Affect User ExperienceRafael R. Padovani, Lucas N. Ferreira, Levi H. S. Lelis. 2604-2611 [doi]
• Consensual Affine Transformations for Partial Valuation AggregationHermann Schichl, Meinolf Sellmann. 2612-2619 [doi]
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• Preference-Aware Task Assignment in Spatial CrowdsourcingYan Zhao 0008, Jinfu Xia, Guanfeng Liu, Han Su, Defu Lian, Shuo Shang, Kai Zheng 0001. 2629-2636 [doi]
• Satisfiability in Strategy Logic Can Be Easier than Model CheckingErman Acar, Massimo Benerecetti, Fabio Mogavero. 2638-2645 [doi]
• Unbounded Orchestrations of Transducers for ManufacturingNatasha Alechina, Tomás Brázdil, Giuseppe De Giacomo, Paolo Felli, Brian Logan, Moshe Y. Vardi. 2646-2653 [doi]
• Relaxing and Restraining Queries for OBDAMedina Andresel, Yazmin Ibáñez-García, Magdalena Ortiz, Mantas Simkus. 2654-2661 [doi]
• Certifying the True Error: Machine Learning in Coq with Verified Generalization GuaranteesAlexander Bagnall, Gordon Stewart 0001. 2662-2669 [doi]
• Extension Removal in Abstract Argumentation - An Axiomatic ApproachRingo Baumann, Gerhard Brewka. 2670-2677 [doi]
• Abstracting Causal ModelsSander Beckers, Joseph Y. Halpern. 2678-2685 [doi]
• Weighted Abstract Dialectical Frameworks through the Lens of Approximation Fixpoint TheoryBart Bogaerts 0001. 2686-2693 [doi]
• Enhancing Lazy Grounding with Lazy Normalization in Answer-Set ProgrammingJori Bomanson, Tomi Janhunen, Antonius Weinzierl. 2694-2702 [doi]
• Learning Features and Abstract Actions for Computing Generalized PlansBlai Bonet, Guillem Francès, Hector Geffner. 2703-2710 [doi]
• Ontology-Mediated Query Answering over Log-Linear Probabilistic DataStefan Borgwardt, Ismail Ilkan Ceylan, Thomas Lukasiewicz. 2711-2718 [doi]
• Querying Attributed DL-Lite Ontologies Using Provenance SemiringsCamille Bourgaux, Ana Ozaki. 2719-2726 [doi]
• Model-Based Diagnosis for Cyber-Physical Production Systems Based on Machine Learning and Residual-Based Diagnosis ModelsAndreas Bunte, Benno Stein, Oliver Niggemann. 2727-2735 [doi]
• From Horn-SRIQ to Datalog: A Data-Independent Transformation That Preserves Assertion EntailmentDavid Carral, Larry González, Patrick Koopmann. 2736-2743 [doi]
• Identification of Causal Effects in the Presence of Selection BiasJuan D. Correa, Jin Tian 0001, Elias Bareinboim. 2744-2751 [doi]
• Argumentation for Explainable SchedulingKristijonas Cyras, Dimitrios Letsios, Ruth Misener, Francesca Toni. 2752-2759 [doi]
• Approximate Stream Reasoning with Metric Temporal Logic under UncertaintyDaniel de Leng, Fredrik Heintz. 2760-2767 [doi]
• ABox Abduction via Forgetting in ALCWarren Del-Pinto, Renate A. Schmidt. 2768-2775 [doi]
• Qualitative Spatial Logic over 2D Euclidean Spaces Is Not Finitely AxiomatisableHeshan Du, Natasha Alechina. 2776-2783 [doi]
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• On Structured Argumentation with Conditional PreferencesPhan Minh Dung, Phan Minh Thang, Tran Cao Son. 2792-2800 [doi]
• Complexity of Abstract Argumentation under a Claim-Centric ViewWolfgang Dvorák, Stefan Woltran. 2801-2808 [doi]
• Strong Equivalence for Epistemic Logic Programs Made EasyWolfgang Faber 0001, Michael Morak, Stefan Woltran. 2809-2816 [doi]
• Disjunctive Normal Form for Multi-Agent Modal Logics Based on Logical SeparabilityLiangda Fang, Kewen Wang, Zhe Wang, Ximing Wen. 2817-2826 [doi]
• Counting Complexity for Reasoning in Abstract ArgumentationJohannes Klaus Fichte, Markus Hecher, Arne Meier. 2827-2834 [doi]
• A Sequential Set Generation Method for Predicting Set-Valued OutputsTian Gao, Jie Chen, Vijil Chenthamarakshan, Michael Witbrock. 2835-2842 [doi]
• Forgetting in Modular Answer Set ProgrammingRicardo Gonçalves 0001, Tomi Janhunen, Matthias Knorr, João Leite, Stefan Woltran. 2843-2850 [doi]
• Partial AwarenessJoseph Y. Halpern, Evan Piermont. 2851-2858 [doi]
• Modular Materialisation of Datalog ProgramsPan Hu, Boris Motik, Ian Horrocks. 2859-2866 [doi]
• Bi-Kronecker Functional Decision Diagrams: A Novel Canonical Representation of Boolean FunctionsXuanxiang Huang, Kehang Fang, Liangda Fang, Qingliang Chen, Zhao-Rong Lai, Linfeng Wei. 2867-2875 [doi]
• Minimum Intervention Cover of a Causal GraphSaravanan Kandasamy, Arnab Bhattacharyya 0001, Vasant G. Honavar. 2876-2885 [doi]
• Knowledge Refinement via Rule SelectionPhokion G. Kolaitis, Lucian Popa 0001, Kun Qian 0002. 2886-2894 [doi]
• LENA: Locality-Expanded Neural Embedding for Knowledge Base CompletionFanshuang Kong, Richong Zhang, Yongyi Mao, Ting Deng. 2895-2902 [doi]
• Ontology-Based Query Answering for Probabilistic Temporal DataPatrick Koopmann. 2903-2910 [doi]
• Combining Deep Learning and Qualitative Spatial Reasoning to Learn Complex Structures from Sparse Examples with NoiseNikhil Krishnaswamy, Scott Friedman, James Pustejovsky. 2911-2918 [doi]
• Representing and Learning Grammars in Answer Set ProgrammingMark Law, Alessandra Russo, Elisa Bertino, Krysia Broda, Jorge Lobo 0001. 2919-2928 [doi]
• Multi-Context System for Optimization ProblemsTiep Le, Tran Cao Son, Enrico Pontelli. 2929-2937 [doi]
• Reasoning over Assumption-Based Argumentation Frameworks via Direct Answer Set Programming EncodingsTuomo Lehtonen, Johannes Peter Wallner, Matti Järvisalo. 2938-2945 [doi]
• SAT-Based Explicit LTLf Satisfiability CheckingJianwen Li, Kristin Y. Rozier, Geguang Pu, Yueling Zhang, Moshe Y. Vardi. 2946-2953 [doi]
• Implanting Rational Knowledge into Distributed Representation at Morpheme LevelZi Lin, Yang Liu. 2954-2961 [doi]
• Complexity of Inconsistency-Tolerant Query Answering in Datalog+/- under Cardinality-Based RepairsThomas Lukasiewicz, Enrico Malizia, Andrius Vaicenavicius. 2962-2969 [doi]
• SDRL: Interpretable and Data-Efficient Deep Reinforcement Learning Leveraging Symbolic PlanningDaoming Lyu, Fangkai Yang, Bo Liu, Steven Gustafson. 2970-2977 [doi]
• Less but Better: Generalization Enhancement of Ordinal Embedding via Distributional MarginKe Ma, Qianqian Xu, Zhiyong Yang, Xiaochun Cao. 2978-2985 [doi]
• Group Decision Diagram (GDD): A Compact Representation for PermutationsTakanori Maehara, Yuma Inoue. 2986-2994 [doi]
• On Limited Conjunctions and Partial Features in Parameter-Tractable Feature LogicsStephanie McIntyre, Alexander Borgida, David Toman, Grant E. Weddell. 2995-3002 [doi]
• Declarative Question Answering over Knowledge Bases Containing Natural Language Text with Answer Set ProgrammingArindam Mitra, Peter Clark, Oyvind Tafjord, Chitta Baral. 3003-3010 [doi]
• Blameworthiness in Strategic GamesPavel Naumov, Jia Tao. 3011-3018 [doi]
• Belief Change and Non-Monotonic Reasoning Sans CompactnessJandson S. Ribeiro, Abhaya Nayak, Renata Wassermann. 3019-3026 [doi]
• ATOMIC: An Atlas of Machine Commonsense for If-Then ReasoningMaarten Sap, Ronan Le Bras, Emily Allaway, Chandra Bhagavatula, Nicholas Lourie, Hannah Rashkin, Brendan Roof, Noah A. Smith, Yejin Choi. 3027-3035 [doi]
• Efficient Concept Induction for Description LogicsMd. Kamruzzaman Sarker, Pascal Hitzler. 3036-3043 [doi]
• An Open-World Extension to Knowledge Graph Completion ModelsHaseeb Shah, Johannes Villmow, Adrian Ulges, Ulrich Schwanecke, Faisal Shafait. 3044-3051 [doi]
• Induction of Non-Monotonic Logic Programs to Explain Boosted Tree Models Using LIMEFarhad Shakerin, Gopal Gupta. 3052-3059 [doi]
• End-to-End Structure-Aware Convolutional Networks for Knowledge Base CompletionChao Shang, Yun Tang, Jing Huang, Jinbo Bi, Xiaodong He, Bowen Zhou. 3060-3067 [doi]
• Amalgamating Knowledge towards Comprehensive ClassificationChengchao Shen, Xinchao Wang, Jie Song, Li Sun, Mingli Song. 3068-3075 [doi]
• Iterated Belief Base Revision: A Dynamic Epistemic Logic ApproachMarlo Souza, Álvaro F. Moreira, Renata Vieira. 3076-3083 [doi]
• Safe Partial Diagnosis from Normal ObservationsRoni Stern, Brendan Juba. 3084-3091 [doi]
• Reasoning over Streaming Data in Metric Temporal DatalogPrzemyslaw Andrzej Walega, Mark Kaminski, Bernardo Cuenca Grau. 3092-3099 [doi]
• TransGate: Knowledge Graph Embedding with Shared Gate StructureJun Yuan, Neng Gao, Ji Xiang. 3100-3107 [doi]
• Recursively Learning Causal Structures Using Regression-Based Conditional Independence TestHao Zhang, Shuigeng Zhou, Chuanxu Yan, Jihong Guan, Xin Wang. 3108-3115 [doi]
• Tracking Logical Difference in Large-Scale Ontologies: A Forgetting-Based ApproachYizheng Zhao, Ghadah Alghamdi, Renate A. Schmidt, Hao Feng, Giorgos Stoilos, Damir Juric, Mohammad Khodadadi. 3116-3124 [doi]
• On Completing Sparse Knowledge Base with Transitive Relation EmbeddingZili Zhou, Shaowu Liu, Guandong Xu, Wu Zhang. 3125-3132 [doi]
• State Abstraction as Compression in Apprenticeship LearningDavid Abel, Dilip Arumugam, Kavosh Asadi, Yuu Jinnai, Michael L. Littman, Lawson L. S. Wong. 3134-3142 [doi]
• An Exponential Tail Bound for the Deleted EstimateKarim T. Abou-Moustafa, Csaba Szepesvári. 3143-3150 [doi]
• Model Learning for Look-Ahead Exploration in Continuous ControlArpit Agarwal, Katharina Muelling, Katerina Fragkiadaki. 3151-3158 [doi]
• Character-Level Language Modeling with Deeper Self-AttentionRami Al-Rfou', Dokook Choe, Noah Constant, Mandy Guo, Llion Jones. 3159-3166 [doi]
• Attacking Data Transforming Learners at Training TimeScott Alfeld, Ara Vartanian, Lucas Newman-Johnson, Benjamin I. P. Rubinstein. 3167-3174 [doi]
• Hyperprior Induced Unsupervised Disentanglement of Latent RepresentationsAbdul Fatir Ansari, Harold Soh. 3175-3182 [doi]
• Adversarial Label LearningChidubem Arachie, Bert Huang. 3183-3190 [doi]
• Robust Negative Sampling for Network EmbeddingMohammadreza Armandpour, Patrick Ding, Jianhua Huang, Xia Hu. 3191-3198 [doi]
• Random Feature Maps for the Itemset KernelKyohei Atarashi, Subhransu Maji, Satoshi Oyama. 3199-3206 [doi]
• High Dimensional Clustering with r-netsGeorgia Avarikioti, Alain Ryser, Yuyi Wang 0001, Roger Wattenhofer. 3207-3214 [doi]
• Mode Variational LSTM Robust to Unseen Modes of Variation: Application to Facial Expression RecognitionWissam J. Baddar, Yong Man Ro. 3215-3223 [doi]
• Enhanced Random Forest Algorithms for Partially Monotone Ordinal ClassificationChristopher Bartley, Wei Liu 0006, Mark Reynolds. 3224-3231 [doi]
• Online Learning from Data Streams with Varying Feature SpacesEge Beyazit, Jeevithan Alagurajah, Xindong Wu 0001. 3232-3239 [doi]
• CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural NetworksAkhilan Boopathy, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu 0001, Luca Daniel. 3240-3247 [doi]
• Deep Convolutional Sum-Product NetworksCory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos, André L. Teixeira. 3248-3255 [doi]
• FRAME Revisited: An Interpretation View Based on Particle EvolutionXu Cai, Yang Wu, Guanbin Li, Ziliang Chen, Liang Lin. 3256-3263 [doi]
• Dynamic Learning of Sequential Choice Bandit Problem under Marketing FatigueJunyu Cao, Wei Sun. 3264-3271 [doi]
• Adversarial Learning of Semantic Relevance in Text to Image SynthesisMiriam Cha, Youngjune L. Gwon, H. T. Kung. 3272-3279 [doi]
• Towards Non-Saturating Recurrent Units for Modelling Long-Term DependenciesSarath Chandar, Chinnadhurai Sankar, Eugene Vorontsov, Samira Ebrahimi Kahou, Yoshua Bengio. 3280-3287 [doi]
• Disjoint Label Space Transfer Learning with Common Factorised SpaceXiaobin Chang, Yongxin Yang, Tao Xiang, Timothy M. Hospedales. 3288-3295 [doi]
• Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain AdaptationChao Chen, Zhihong Chen, Boyuan Jiang, Xinyu Jin. 3296-3303 [doi]
• Two-Stage Label Embedding via Neural Factorization Machine for Multi-Label ClassificationChen Chen 0043, Haobo Wang, Weiwei Liu 0003, Xingyuan Zhao, Tianlei Hu, Gang Chen 0001. 3304-3311 [doi]
• Large-Scale Interactive Recommendation with Tree-Structured Policy GradientHaokun Chen, Xinyi Dai, Han Cai, Weinan Zhang 0001, Xuejian Wang, Ruiming Tang, Yuzhou Zhang, Yong Yu 0001. 3312-3320 [doi]
• Distributionally Robust Semi-Supervised Learning for People-Centric SensingKaixuan Chen, Lina Yao, Dalin Zhang, Xiaojun Chang, Guodong Long, Sen Wang. 3321-3328 [doi]
• Deep Neural Network Quantization via Layer-Wise Optimization Using Limited Training DataShangyu Chen, Wenya Wang, Sinno Jialin Pan. 3329-3336 [doi]
• EA-CG: An Approximate Second-Order Method for Training Fully-Connected Neural NetworksSheng-wei Chen, Chun-Nan Chou, Edward Y. Chang. 3337-3346 [doi]
• Data-Adaptive Metric Learning with Scale AlignmentShuo Chen 0003, Chen Gong 0002, Jian Yang, Ying Tai, Le Hui, Jun Li. 3347-3354 [doi]
• A Layer Decomposition-Recomposition Framework for Neuron Pruning towards Accurate Lightweight NetworksWeijie Chen, Yuan Zhang, Di Xie, Shiliang Pu. 3355-3362 [doi]
• Embedding Uncertain Knowledge GraphsXuelu Chen, Muhao Chen, Weijia Shi, Yizhou Sun, Carlo Zaniolo. 3363-3370 [doi]
• Tensor Decomposition for Multilayer Networks ClusteringZitai Chen, Chuan Chen, Zibin Zheng, Yi Zhu. 3371-3378 [doi]
• Image Block Augmentation for One-Shot LearningZitian Chen, Yanwei Fu, Kaiyu Chen, Yu-Gang Jiang. 3379-3386 [doi]
• End-to-End Safe Reinforcement Learning through Barrier Functions for Safety-Critical Continuous Control TasksRichard Cheng, Gábor Orosz, Richard M. Murray, Joel W. Burdick. 3387-3395 [doi]
• Utilizing Class Information for Deep Network Representation ShapingDaeyoung Choi, Wonjong Rhee. 3396-3403 [doi]
• Diverse Exploration via Conjugate Policies for Policy Gradient MethodsAndrew Cohen, Xingye Qiao, Lei Yu 0001, Elliot Way, Xiangrong Tong. 3404-3411 [doi]
• Spatially Invariant Unsupervised Object Detection with Convolutional Neural NetworksEric Crawford, Joelle Pineau. 3412-3420 [doi]
• Efficient Online Learning for Mapping Kernels on Linguistic StructuresGiovanni Da San Martino, Alessandro Sperduti, Fabio Aiolli, Alessandro Moschitti. 3421-3428 [doi]
• Learning Segmentation Masks with the Independence PriorSongmin Dai, Xiaoqiang Li, Lu Wang, Pin Wu, Weiqin Tong, Yimin Chen. 3429-3436 [doi]
• Inverse Abstraction of Neural Networks Using Symbolic InterpolationSumanth Dathathri, Sicun Gao, Richard M. Murray. 3437-3444 [doi]
• Balanced Linear Contextual BanditsMaria Dimakopoulou, Zhengyuan Zhou, Susan Athey, Guido Imbens. 3445-3453 [doi]
• Linear Kernel Tests via Empirical Likelihood for High-Dimensional DataLizhong Ding, Zhi Liu, Yu Li 0006, Shizhong Liao, Yong Liu, Peng Yang, Ge Yu, Ling Shao 0001, Xin Gao 0001. 3454-3461 [doi]
• Approximate Kernel Selection with Strong Approximate ConsistencyLizhong Ding, Yong Liu, Shizhong Liao, Yu Li 0006, Peng Yang 0010, Yijie Pan, Chao Huang, Ling Shao 0001, Xin Gao 0001. 3462-3469 [doi]
• On-Line Adaptative Curriculum Learning for GANsThang Doan, João Monteiro, Isabela Albuquerque, Bogdan Mazoure, Audrey Durand, Joelle Pineau, R. Devon Hjelm. 3470-3477 [doi]
• Multistream Classification with Relative Density Ratio EstimationBo Dong, Yang Gao, Swarup Chandra, Latifur Khan. 3478-3485 [doi]
• Single-Label Multi-Class Image Classification by Deep Logistic RegressionQi Dong 0004, Xiatian Zhu, Shaogang Gong. 3486-3493 [doi]
• How to Combine Tree-Search Methods in Reinforcement LearningYonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor. 3494-3501 [doi]
• Human-Like Delicate Region Erasing Strategy for Weakly Supervised DetectionQing En, Lijuan Duan, Zhaoxiang Zhang, Xiang Bai, Yundong Zhang. 3502-3509 [doi]
• Controllable Image-to-Video Translation: A Case Study on Facial Expression GenerationLijie Fan, Wenbing Huang, Chuang Gan, JunZhou Huang, Boqing Gong. 3510-3517 [doi]
• Partial Multi-Label Learning via Credible Label ElicitationJun-Peng Fang, Min-Ling Zhang. 3518-3525 [doi]
• Improved Knowledge Graph Embedding Using Background Taxonomic InformationBahare Fatemi, Siamak Ravanbakhsh, David Poole 0001. 3526-3533 [doi]
• Unsupervised Feature Selection by Pareto OptimizationChao Feng, Chao Qian, Ke Tang. 3534-3541 [doi]
• Partial Label Learning with Self-Guided RetrainingLei Feng, Bo An. 3542-3549 [doi]
• Collaboration Based Multi-Label LearningLei Feng, Bo An, Shuo He. 3550-3557 [doi]
• Hypergraph Neural NetworksYifan Feng, Haoxuan You, Zizhao Zhang, Rongrong Ji, Yue Gao. 3558-3565 [doi]
• Transductive Bounds for the Multi-Class Majority Vote ClassifierVasilii Feofanov, Emilie Devijver, Massih-Reza Amini. 3566-3573 [doi]
• The Goldilocks Zone: Towards Better Understanding of Neural Network Loss LandscapesStanislav Fort, Adam Scherlis. 3574-3581 [doi]
• Combined Reinforcement Learning via Abstract RepresentationsVincent François-Lavet, Yoshua Bengio, Doina Precup, Joelle Pineau. 3582-3589 [doi]
• Efficient Data Point Pruning for One-Class SVMYasuhiro Fujiwara, Sekitoshi Kanai, Junya Arai, Yasutoshi Ida, Naonori Ueda. 3590-3597 [doi]
• Fully Convolutional Network with Multi-Step Reinforcement Learning for Image ProcessingRyosuke Furuta, Naoto Inoue, Toshihiko Yamasaki. 3598-3605 [doi]
• Bayesian Posterior Approximation via Greedy Particle OptimizationFutoshi Futami, Zhenghang Cui, Issei Sato, Masashi Sugiyama. 3606-3613 [doi]
• Towards Reliable Learning for High Stakes ApplicationsJinyang Gao, Junjie Yao, Yingxia Shao. 3614-3621 [doi]
• Explainable Recommendation through Attentive Multi-View LearningJingyue Gao, Xiting Wang, Yasha Wang, Xing Xie 0001. 3622-3629 [doi]
• Wasserstein Soft Label Propagation on Hypergraphs: Algorithm and Generalization Error BoundsTingran Gao, Shahab Asoodeh, Yi Huang, James Evans. 3630-3637 [doi]
• Incomplete Label Multi-Task Deep Learning for Spatio-Temporal Event Subtype ForecastingYuyang Gao, Liang Zhao, Lingfei Wu, Yanfang Ye, Hui Xiong, Chaowei Yang. 3638-3646 [doi]
• Off-Policy Deep Reinforcement Learning by Bootstrapping the Covariate ShiftCarles Gelada, Marc G. Bellemare. 3647-3655 [doi]
• Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand ForecastingXu Geng, Yaguang Li, Leye Wang, Lingyu Zhang, Qiang Yang, Jieping Ye, Yan Liu. 3656-3663 [doi]
• Counting and Sampling from Markov Equivalent DAGs Using Clique TreesAmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash, Kun Zhang 0001. 3664-3671 [doi]
• Eliminating Latent Discrimination: Train Then MaskSoheil Ghili, Ehsan Kazemi 0001, Amin Karbasi. 3672-3680 [doi]
• Interpretation of Neural Networks Is FragileAmirata Ghorbani, Abubakar Abid, James Y. Zou. 3681-3688 [doi]
• Using Benson's Algorithm for Regularization Parameter TrackingJoachim Giesen, Sören Laue, Andreas Löhne, Christopher Schneider. 3689-3696 [doi]
• Scalable and Efficient Pairwise Learning to Achieve Statistical AccuracyBin Gu, Zhouyuan Huo, Heng Huang. 3697-3704 [doi]
• AFS: An Attention-Based Mechanism for Supervised Feature SelectionNing Gui, Danni Ge, Ziyin Hu. 3705-3713 [doi]
• MixUp as Locally Linear Out-of-Manifold RegularizationHongyu Guo, Yongyi Mao, Richong Zhang. 3714-3722 [doi]
• Non-Autoregressive Neural Machine Translation with Enhanced Decoder InputJunliang Guo, Xu Tan, Di He, Tao Qin, Linli Xu, Tie-Yan Liu. 3723-3730 [doi]
• Smooth Deep Image Generator from NoisesTianyu Guo, Chang Xu 0002, Boxin Shi, Chao Xu 0006, Dacheng Tao. 3731-3738 [doi]
• Hybrid Reinforcement Learning with Expert State SequencesXiaoxiao Guo, Shiyu Chang, Mo Yu, Gerald Tesauro, Murray Campbell. 3739-3746 [doi]
• Distributional Semantics Meets Multi-Label LearningVivek Gupta 0001, Rahul Wadbude, Nagarajan Natarajan, Harish Karnick, Prateek Jain 0002, Piyush Rai. 3747-3754 [doi]
• Temporal Anomaly Detection: Calibrating the SurpriseEyal Gutflaish, Aryeh Kontorovich, Sivan Sabato, Ofer Biller, Oded Sofer. 3755-3762 [doi]
• Efficient and Scalable Multi-Task Regression on Massive Number of TasksXiao He, Francesco Alesiani, Ammar Shaker. 3763-3770 [doi]
• Knowledge Distillation with Adversarial Samples Supporting Decision BoundaryByeongho Heo, Minsik Lee, Sangdoo Yun, Jin Young Choi 0002. 3771-3778 [doi]
• Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden NeuronsByeongho Heo, Minsik Lee, Sangdoo Yun, Jin Young Choi 0002. 3779-3787 [doi]
• The SpectACl of Nonconvex Clustering: A Spectral Approach to Density-Based ClusteringSibylle Hess, Wouter Duivesteijn, Philipp Honysz, Katharina Morik. 3788-3795 [doi]
• Multi-Task Deep Reinforcement Learning with PopArtMatteo Hessel, Hubert Soyer, Lasse Espeholt, Wojciech Czarnecki 0001, Simon Schmitt, Hado van Hasselt. 3796-3803 [doi]
• Interaction-Aware Factorization Machines for Recommender SystemsFuxing Hong, Dongbo Huang, Ge Chen. 3804-3811 [doi]
• Learning Anytime Predictions in Neural Networks via Adaptive Loss BalancingHanzhang Hu, Debadeepta Dey, Martial Hebert, J. Andrew Bagnell. 3812-3821 [doi]
• Learning to Adaptively Scale Recurrent Neural NetworksHao Hu, Liqiang Wang, Guo-Jun Qi. 3822-3829 [doi]
• HERS: Modeling Influential Contexts with Heterogeneous Relations for Sparse and Cold-Start RecommendationLiang Hu 0004, Songlei Jian, Longbing Cao, Zhiping Gu, QingKui Chen, Artak Amirbekyan. 3830-3837 [doi]
• One-Pass Incomplete Multi-View ClusteringMenglei Hu, Songcan Chen. 3838-3845 [doi]
• Multi-Fidelity Automatic Hyper-Parameter Tuning via Transfer Series ExpansionYi-Qi Hu, Yang Yu 0001, Wei-Wei Tu, Qiang Yang, Yuqiang Chen, Wenyuan Dai. 3846-3853 [doi]
• Efficient Quantization for Neural Networks with Binary Weights and Low Bitwidth ActivationsKun Huang, Bingbing Ni, Xiaokang Yang. 3854-3861 [doi]
• Efficient Identification of Approximate Best Configuration of Training in Large DatasetsSilu Huang, Chi Wang 0001, Bolin Ding, Surajit Chaudhuri. 3862-3869 [doi]
• Bootstrap Estimated Uncertainty of the Environment Model for Model-Based Reinforcement LearningWenzhen Huang, Junge Zhang, Kaiqi Huang. 3870-3877 [doi]
• Large-Scale Heterogeneous Feature EmbeddingXiao Huang, Qingquan Song, Fan Yang, Xia Hu. 3878-3885 [doi]
• Manifold-Valued Image Generation with Wasserstein Generative Adversarial NetsZhiwu Huang, Jiqing Wu, Luc Van Gool. 3886-3893 [doi]
• Inter-Class Angular Loss for Convolutional Neural NetworksLe Hui, Xiang Li, Chen Gong 0002, Meng Fang, Joey Tianyi Zhou, Jian Yang 0003. 3894-3901 [doi]
• Tensorial Change Analysis Using Probabilistic Tensor RegressionTsuyoshi Idé. 3902-3909 [doi]
• Complex Moment-Based Supervised Eigenmap for Dimensionality ReductionAkira Imakura, Momo Matsuda, Xiucai Ye, Tetsuya Sakurai. 3910-3918 [doi]
• Estimating the Causal Effect from Partially Observed Time SeriesAkane Iseki, Yusuke Mukuta, Yoshitaka Ushiku, Tatsuya Harada. 3919-3926 [doi]
• TAPAS: Train-Less Accuracy Predictor for Architecture SearchRoxana Istrate, Florian Scheidegger, Giovanni Mariani, Dimitrios S. Nikolopoulos, Constantine Bekas, Adelmo Cristiano Innocenza Malossi. 3927-3934 [doi]
• Neural Collective Graphical Models for Estimating Spatio-Temporal Population Flow from Aggregated DataTomoharu Iwata, Hitoshi Shimizu. 3935-3942 [doi]
• Meta-Descent for Online, Continual PredictionAndrew Jacobsen, Matthew Schlegel, Cameron Linke, Thomas Degris, Adam White, Martha White. 3943-3950 [doi]
• Model-Free IRL Using Maximum Likelihood EstimationVinamra Jain, Prashant Doshi, Bikramjit Banerjee. 3951-3958 [doi]
• Classification with Costly Features Using Deep Reinforcement LearningJaromír Janisch, Tomás Pevný, Viliam Lisý. 3959-3966 [doi]
• Tile2Vec: Unsupervised Representation Learning for Spatially Distributed DataNeal Jean, Sherrie Wang, Anshul Samar, George Azzari, David B. Lobell, Stefano Ermon. 3967-3974 [doi]
• Multi-Dimensional Classification via kNN Feature AugmentationBin-Bin Jia, Min-Ling Zhang. 3975-3982 [doi]
• Joint Semi-Supervised Feature Selection and Classification through Bayesian ApproachBingbing Jiang, Xingyu Wu, Kui Yu, Huanhuan Chen. 3983-3990 [doi]
• Fast Incremental SVDD Learning Algorithm with the Gaussian KernelHansi Jiang, Haoyu Wang, Wenhao Hu, Deovrat Kakde, Arin Chaudhuri. 3991-3998 [doi]
• Non-Asymptotic Uniform Rates of Consistency for k-NN RegressionHeinrich Jiang. 3999-4006 [doi]
• Gaussian-Induced Convolution for GraphsJiatao Jiang, Zhen Cui, Chunyan Xu, Jian Yang 0003. 4007-4014 [doi]
• SCFont: Structure-Guided Chinese Font Generation via Deep Stacked NetworksYue Jiang, Zhouhui Lian, Yingmin Tang, Jianguo Xiao. 4015-4022 [doi]
• Estimating the Days to Success of Campaigns in Crowdfunding: A Deep Survival PerspectiveBinbin Jin, Hongke Zhao, Enhong Chen, Qi Liu 0003, Yong Ge. 4023-4030 [doi]
• DoPAMINE: Double-Sided Masked CNN for Pixel Adaptive Multiplicative Noise DespecklingSunghwan Joo, Sungmin Cha, Taesup Moon. 4031-4038 [doi]
• Precision-Recall versus Accuracy and the Role of Large Data SetsBrendan Juba, Hai S. Le. 4039-4048 [doi]
• Dimension-Free Error Bounds from Random ProjectionsAta Kabán. 4049-4056 [doi]
• Similarity Learning via Kernel Preserving EmbeddingZhao Kang, Yiwei Lu, Yuanzhang Su, Changsheng Li, Zenglin Xu. 4057-4064 [doi]
• Guided DropoutRohit Keshari, Richa Singh 0001, Mayank Vatsa. 4065-4072 [doi]
• Mixture of Expert/Imitator Networks: Scalable Semi-Supervised Learning FrameworkShun Kiyono, Jun Suzuki, Kentaro Inui. 4073-4081 [doi]
• Exploiting Class Learnability in Noisy DataMatthew Klawonn, Eric Heim, James Hendler. 4082-4089 [doi]
• Active Generative Adversarial Network for Image ClassificationQuan Kong, Bin Tong, Martin Klinkigt, Yuki Watanabe, Naoto Akira, Tomokazu Murakami. 4090-4097 [doi]
• On-Line Learning of Linear Dynamical Systems: Exponential Forgetting in Kalman FiltersMark Kozdoba, Jakub Marecek, Tigran T. Tchrakian, Shie Mannor. 4098-4105 [doi]
• Unsupervised Domain Adaptation by Matching Distributions Based on the Maximum Mean Discrepancy via Unilateral TransformationsAtsutoshi Kumagai, Tomoharu Iwata. 4106-4113 [doi]
• Multi-Source Neural Variational InferenceRichard Kurle, Stephan Günnemann, Patrick van der Smagt. 4114-4121 [doi]
• Unsupervised Domain Adaptation Based on Source-Guided DiscrepancySeiichi Kuroki, Nontawat Charoenphakdee, Han Bao, Junya Honda, Issei Sato, Masashi Sugiyama. 4122-4129 [doi]
• TransConv: Relationship Embedding in Social NetworksYi-Yu Lai, Jennifer Neville, Dan Goldwasser. 4130-4138 [doi]
• Accurate and Interpretable Factorization MachinesLiang Lan, Yu Geng. 4139-4146 [doi]
• Gradient-Based Inference for Networks with Output ConstraintsJay Yoon Lee, Sanket Vaibhav Mehta, Michael Wick, Jean-Baptiste Tristan, Jaime G. Carbonell. 4147-4154 [doi]
• Understanding Learned Models by Identifying Important Features at the Right ResolutionKyubin Lee, Akshay Sood, Mark Craven. 4155-4163 [doi]
• Structural Causal Bandits with Non-Manipulable VariablesSanghack Lee, Elias Bareinboim. 4164-4172 [doi]
• Communication-Efficient Stochastic Gradient MCMC for Neural NetworksChunyuan Li, Changyou Chen, Yunchen Pu, Ricardo Henao, Lawrence Carin. 4173-4180 [doi]
• Lifted Proximal Operator MachinesJia Li 0002, Cong Fang, Zhouchen Lin. 4181-4188 [doi]
• From Zero-Shot Learning to Cold-Start RecommendationJingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu 0002, Yang Yang 0002, Zi Huang. 4189-4196 [doi]
• X-DMM: Fast and Scalable Model Based Text ClusteringLinwei Li, Liangchen Guo, Zhenying He, Yinan Jing, X. Sean Wang. 4197-4204 [doi]
• Sign-Full Random ProjectionsPing Li 0001. 4205-4212 [doi]
• Robust Multi-Agent Reinforcement Learning via Minimax Deep Deterministic Policy GradientShihui Li, Yi Wu, Xinyue Cui, Honghua Dong, Fei Fang, Stuart J. Russell. 4213-4220 [doi]
• Spectral Clustering in Heterogeneous Information NetworksXiang Li, Ben Kao, Zhaochun Ren, Dawei Yin. 4221-4228 [doi]
• Learning Adaptive Random FeaturesYanjun Li, Kai Zhang, Jun Wang, Sanjiv Kumar. 4229-4236 [doi]
• Towards Automated Semi-Supervised LearningYu-Feng Li, Hai Wang, Tong Wei, Wei-Wei Tu. 4237-4244 [doi]
• Learning Disentangled Representation with Pairwise IndependenceZejian Li, Yongchuan Tang, Wei Li, Yongxing He. 4245-4252 [doi]
• Exploiting Coarse-to-Fine Task Transfer for Aspect-Level Sentiment ClassificationZheng Li, Ying Wei, Yu Zhang 0006, Xiang Zhang, Xin Li 0056. 4253-4260 [doi]
• SepNE: Bringing Separability to Network EmbeddingZiyao Li, Liang Zhang, Guojie Song. 4261-4268 [doi]
• Collaborative, Dynamic and Diversified User ProfilingShangsong Liang. 4269-4276 [doi]
• Learning Logistic CircuitsYitao Liang, Guy Van den Broeck. 4277-4286 [doi]
• CircConv: A Structured Convolution with Low ComplexitySiyu Liao, Bo Yuan 0001. 4287-4294 [doi]
• Evolutionary Manytasking Optimization Based on Symbiosis in BiocoenosisRung-Tzuo Liaw, Chuan-Kang Ting. 4295-4303 [doi]
• Non-Compensatory Psychological Models for Recommender SystemsChen Lin, Xiaolin Shen, Si Chen, Muhua Zhu, Yanghua Xiao. 4304-4311 [doi]
• Which Factorization Machine Modeling Is Better: A Theoretical Answer with Optimal GuaranteeMing Lin, Shuang Qiu, Jieping Ye, Xiaomin Song, Qi Qian, Liang Sun 0001, Shenghuo Zhu, Rong Jin. 4312-4319 [doi]
• MFPCA: Multiscale Functional Principal Component AnalysisZhenhua Lin, Hongtu Zhu. 4320-4327 [doi]
• Learning Plackett-Luce Mixtures from Partial PreferencesAo Liu, Zhibing Zhao, Chao Liao, Pinyan Lu, Lirong Xia. 4328-4335 [doi]
• Near-Neighbor Methods in Random Preference CompletionAo Liu, Qiong Wu, Zhenming Liu, Lirong Xia. 4336-4343 [doi]
• Scale Invariant Fully Convolutional Network: Detecting Hands EfficientlyDan Liu, Dawei Du, Libo Zhang, Tiejian Luo, Yanjun Wu, Feiyue Huang, Siwei Lyu. 4344-4351 [doi]
• Trust Region Evolution StrategiesGuoqing Liu, Li Zhao, Feidiao Yang, Jiang Bian, Tao Qin, Nenghai Yu, Tie-Yan Liu. 4352-4359 [doi]
• Learning Multi-Task Communication with Message Passing for Sequence LearningPengfei Liu, Jie Fu, Yue Dong, Xipeng Qiu, Jackie Chi Kit Cheung. 4360-4367 [doi]
• A Theoretically Guaranteed Deep Optimization Framework for Robust Compressive Sensing MRIRisheng Liu, Yuxi Zhang, Shichao Cheng, Xin Fan, Zhongxuan Luo. 4368-4375 [doi]
• A Bandit Approach to Maximum Inner Product SearchRui Liu, Tianyi Wu, Barzan Mozafari. 4376-4383 [doi]
• The Utility of Sparse Representations for Control in Reinforcement LearningVincent Liu, Raksha Kumaraswamy, Lei Le, Martha White. 4384-4391 [doi]
• Efficient and Effective Incomplete Multi-View ClusteringXinwang Liu, Xinzhong Zhu, Miaomiao Li, Chang Tang, En Zhu, Jianping Yin, Wen Gao 0001. 4392-4399 [doi]
• Ranking-Based Deep Cross-Modal HashingXuanwu Liu, Guoxian Yu, Carlotta Domeniconi, Jun Wang 0035, Yazhou Ren 0001, Maozu Guo. 4400-4407 [doi]
• Adaptive Sparse Confidence-Weighted Learning for Online Feature SelectionYanbin Liu, Yan Yan 0006, Ling Chen, Yahong Han, Yi Yang 0001. 4408-4415 [doi]
• Active Sampling for Open-Set Classification without Initial AnnotationZhao-yang Liu, Sheng-Jun Huang. 4416-4423 [doi]
• GeniePath: Graph Neural Networks with Adaptive Receptive PathsZiqi Liu, Chaochao Chen, Longfei Li, Jun Zhou, Xiaolong Li, Le Song, Yuan Qi. 4424-4431 [doi]
• Guiding the One-to-One Mapping in CycleGAN via Optimal TransportGuansong Lu, Zhiming Zhou, Yuxuan Song, Kan Ren, Yong Yu 0001. 4432-4439 [doi]
• Super Sparse Convolutional Neural NetworksYao Lu, Guangming Lu, Bob Zhang, Yuanrong Xu, Jinxing Li. 4440-4447 [doi]
• Block Belief Propagation for Parameter Learning in Markov Random FieldsYou Lu, Zhiyuan Liu 0003, Bert Huang. 4448-4455 [doi]
• Relation Structure-Aware Heterogeneous Information Network EmbeddingYuanfu Lu, Chuan Shi, Linmei Hu, Zhiyuan Liu 0001. 4456-4463 [doi]
• Scaling-Up Split-Merge MCMC with Locality Sensitive Sampling (LSS)Chen Luo, Anshumali Shrivastava. 4464-4471 [doi]
• Orthogonality-Promoting Dictionary Learning via Bayesian InferenceLei Luo, Jie Xu, Cheng Deng, Heng Huang. 4472-4479 [doi]
• Robust Metric Learning on Grassmann Manifolds with Generalization GuaranteesLei Luo, Jie Xu, Cheng Deng, Heng Huang. 4480-4487 [doi]
• Bias-Variance Trade-Off in Hierarchical Probabilistic Models Using Higher-Order Feature InteractionsSimon Luo, Mahito Sugiyama. 4488-4495 [doi]
• Distributed PageRank Computation: An Improved Theoretical StudySiqiang Luo. 4496-4503 [doi]
• A Comparative Analysis of Expected and Distributional Reinforcement LearningClare Lyle, Marc G. Bellemare, Pablo Samuel Castro. 4504-4511 [doi]
• State-Augmentation Transformations for Risk-Sensitive Reinforcement LearningShuai Ma, Jia Yuan Yu. 4512-4519 [doi]
• LabelForest: Non-Parametric Semi-Supervised Learning for Activity RecognitionYuchao Ma, Hassan Ghasemzadeh. 4520-4527 [doi]
• Complex Unitary Recurrent Neural Networks Using Scaled Cayley TransformKehelwala D. G. Maduranga, Kyle E. Helfrich, Qiang Ye. 4528-4535 [doi]
• The Curse of Concentration in Robust Learning: Evasion and Poisoning Attacks from Concentration of MeasureSaeed Mahloujifar, Dimitrios I. Diochnos, Mohammad Mahmoody. 4536-4543 [doi]
• A Distillation Approach to Data Efficient Individual Treatment Effect EstimationMaggie Makar, Adith Swaminathan, Emre Kiciman. 4544-4551 [doi]
• DyS: A Framework for Mixture Models in QuantificationAndré Gustavo Maletzke, Denis Moreira dos Reis, Everton Alvares Cherman, Gustavo E. A. P. A. Batista. 4552-4560 [doi]
• Towards Better Interpretability in Deep Q-NetworksRaghuram Mandyam Annasamy, Katia P. Sycara. 4561-4569 [doi]
• Cost-Sensitive Learning to RankRyan McBride, Ke Wang, Zhouyang Ren, Wenyuan Li. 4570-4577 [doi]
• A Two-Stream Mutual Attention Network for Semi-Supervised Biomedical Segmentation with Noisy LabelsShaobo Min, Xuejin Chen, Zheng-Jun Zha, Feng Wu, Yongdong Zhang. 4578-4585 [doi]
• A Probabilistic Derivation of LASSO and L12-Norm Feature SelectionsDi Ming, Chris Ding, Feiping Nie. 4586-4593 [doi]
• Cogra: Concept-Drift-Aware Stochastic Gradient Descent for Time-Series ForecastingKohei Miyaguchi, Hiroshi Kajino. 4594-4601 [doi]
• Weisfeiler and Leman Go Neural: Higher-Order Graph Neural NetworksChristopher Morris 0001, Martin Ritzert, Matthias Fey, William L. Hamilton, Jan Eric Lenssen, Gaurav Rattan, Martin Grohe. 4602-4609 [doi]
• ClusterGAN: Latent Space Clustering in Generative Adversarial NetworksSudipto Mukherjee, Himanshu Asnani, Eugene Lin, Sreeram Kannan. 4610-4617 [doi]
• Subspace Selection via DR-Submodular Maximization on LatticesSo Nakashima, Takanori Maehara. 4618-4625 [doi]
• Number Sequence Prediction Problems for Evaluating Computational Powers of Neural NetworksHyoungwook Nam, Segwang Kim, Kyomin Jung. 4626-4633 [doi]
• Efficient Counterfactual Learning from Bandit FeedbackYusuke Narita, Shota Yasui, Kohei Yata. 4634-4641 [doi]
• Multigrid Backprojection Super-Resolution and Deep Filter VisualizationPablo Navarrete Michelini, Hanwen Liu, Dan Zhu. 4642-4650 [doi]
• Biologically Motivated Algorithms for Propagating Local Target RepresentationsAlexander G. Ororbia II, Ankur Mali. 4651-4658 [doi]
• Determinantal Reinforcement LearningTakayuki Osogami, Rudy Raymond. 4659-4666 [doi]
• Non-Parametric Transformation Networks for Learning General Invariances from DataDipan K. Pal, Marios Savvides. 4667-4674 [doi]
• Policy Optimization with Model-Based ExplorationsFeiyang Pan, Qingpeng Cai, Anxiang Zeng, Chun-Xiang Pan, Qing Da, Hua-Lin He, Qing He, Pingzhong Tang. 4675-4682 [doi]
• Compressing Recurrent Neural Networks with Tensor Ring for Action RecognitionYu Pan, Jing Xu, Maolin Wang, Jinmian Ye, Fei Wang, Kun Bai, Zenglin Xu. 4683-4690 [doi]
• On Reinforcement Learning for Full-Length Game of StarCraftZhen-Jia Pang, Ruo-Ze Liu, Zhou-Yu Meng, Yi Zhang, Yang Yu, Tong Lu. 4691-4698 [doi]
• Adversarial Dropout for Recurrent Neural NetworksSungrae Park, Kyungwoo Song, Mingi Ji, Wonsung Lee, Il-Chul Moon. 4699-4706 [doi]
• Trainable Undersampling for Class-Imbalance LearningMinlong Peng, Qi Zhang, Xiaoyu Xing, Tao Gui, Xuanjing Huang, Yu-Gang Jiang, Keyu Ding, Zhigang Chen. 4707-4714 [doi]
• Exploiting Synthetically Generated Data with Semi-Supervised Learning for Small and Imbalanced DatasetsM. Pérez-Ortiz, Peter Tiño, Rafal Mantiuk, César Hervás-Martínez. 4715-4722 [doi]
• Interpretable Preference Learning: A Game Theoretic Framework for Large Margin On-Line Feature and Rule LearningMirko Polato, Fabio Aiolli. 4723-4730 [doi]
• Learning to Solve NP-Complete Problems: A Graph Neural Network for Decision TSPMarcelo O. R. Prates, Pedro H. C. Avelar, Henrique Lemos, Luís C. Lamb, Moshe Y. Vardi. 4731-4738 [doi]
• Robust Optimization over Multiple DomainsQi Qian, Shenghuo Zhu, Jiasheng Tang, Rong Jin, Baigui Sun, Hao Li.