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]
• A Unified Framework for Planning in Adversarial and Cooperative EnvironmentsAnagha Kulkarni 0002, Siddharth Srivastava 0001, Subbarao Kambhampati. 2479-2487 [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]
• CycleEmotionGAN: Emotional Semantic Consistency Preserved CycleGAN for Adapting Image EmotionsSicheng Zhao, Chuang Lin, Pengfei Xu, Sendong Zhao, Yuchen Guo, Ravi Krishna, Guiguang Ding, Kurt Keutzer. 2620-2627 [doi]
• 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]
• Validation of Growing Knowledge Graphs by Abductive Text EvidencesJianfeng Du, Jeff Z. Pan, Sylvia Wang, Kunxun Qi, Yuming Shen, Yu Deng. 2784-2791 [doi]
• 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. 4739-4746 [doi]
• Composite Binary Decomposition NetworksYou Qiaoben, Zheng Wang, Jianguo Li, Yinpeng Dong, Yu-Gang Jiang, Jun Zhu. 4747-4754 [doi]
• Nearest-Neighbour-Induced Isolation Similarity and Its Impact on Density-Based ClusteringXiaoyu Qin, Kai Ming Ting, Ye Zhu, Vincent C. S. Lee. 4755-4762 [doi]
• Training Complex Models with Multi-Task Weak SupervisionAlexander Ratner, Braden Hancock, Jared Dunnmon, Frederic Sala, Shreyash Pandey, Christopher Ré. 4763-4771 [doi]
• Explicitly Imposing Constraints in Deep Networks via Conditional Gradients Gives Improved Generalization and Faster ConvergenceSathya N. Ravi, Tuan Dinh, Vishnu Suresh Lokhande, Vikas Singh. 4772-4779 [doi]
• Regularized Evolution for Image Classifier Architecture SearchEsteban Real, Alok Aggarwal, Yanping Huang, Quoc V. Le. 4780-4789 [doi]
• On Fair Cost Sharing Games in Machine LearningIevgen Redko, Charlotte Laclau. 4790-4797 [doi]
• Deep Recurrent Survival AnalysisKan Ren, Jiarui Qin, Lei Zheng, Zhengyu Yang, Weinan Zhang 0001, Lin Qiu, Yong Yu 0001. 4798-4805 [doi]
• RepeatNet: A Repeat Aware Neural Recommendation Machine for Session-Based RecommendationPengjie Ren, Zhumin Chen, Jing Li, Zhaochun Ren, Jun Ma 0001, Maarten de Rijke. 4806-4813 [doi]
• Devil in the Details: Towards Accurate Single and Multiple Human ParsingTao Ruan, Ting Liu, Zilong Huang, Yunchao Wei, Shikui Wei, Yao Zhao. 4814-4821 [doi]
• Latent Multi-Task Architecture LearningSebastian Ruder, Joachim Bingel, Isabelle Augenstein, Anders Søgaard. 4822-4829 [doi]
• How Many Pairwise Preferences Do We Need to Rank a Graph Consistently?Aadirupa Saha, Rakesh Shivanna, Chiranjib Bhattacharyya. 4830-4837 [doi]
• Covariate Shift Adaptation on Learning from Positive and Unlabeled DataTomoya Sakai, Nobuyuki Shimizu. 4838-4845 [doi]
• Granger-Causal Attentive Mixtures of Experts: Learning Important Features with Neural NetworksPatrick Schwab, Djordje Miladinovic, Walter Karlen. 4846-4853 [doi]
• Congestion Graphs for Automated Time PredictionsArik Senderovich, J. Christopher Beck, Avigdor Gal, Matthias Weidlich. 4854-4861 [doi]
• Unsupervised Learning with Contrastive Latent Variable ModelsKristen A. Severson, Soumya Ghosh, Kenney Ng. 4862-4869 [doi]
• Sparse Reject Option Classifier Using Successive Linear ProgrammingKulin Shah, Naresh Manwani. 4870-4877 [doi]
• Geometric Hawkes Processes with Graph Convolutional Recurrent Neural NetworksJin Shang, Mingxuan Sun. 4878-4885 [doi]
• MEAL: Multi-Model Ensemble via Adversarial LearningZhiqiang Shen, Zhankui He, Xiangyang Xue. 4886-4893 [doi]
• Multi-View Anomaly Detection: Neighborhood in Locality MattersXiang-Rong Sheng, De-Chuan Zhan, Su Lu, Yuan Jiang 0001. 4894-4901 [doi]
• Virtual-Taobao: Virtualizing Real-World Online Retail Environment for Reinforcement LearningJing-Cheng Shi, Yang Yu 0001, Qing Da, Shi-Yong Chen, Anxiang Zeng. 4902-4909 [doi]
• Automatic Code Review by Learning the Revision of Source CodeShu-Ting Shi, Ming Li, David Lo 0001, Ferdian Thung, Xuan Huo. 4910-4917 [doi]
• Sublinear Time Numerical Linear Algebra for Structured MatricesXiaofei Shi, David P. Woodruff. 4918-4925 [doi]
• Label Embedding with Partial Heterogeneous ContextsYaxin Shi, Donna Xu, Yuangang Pan, Ivor W. Tsang, Shirui Pan. 4926-4933 [doi]
• Evaluating Recommender System Stability with Influence-Guided FuzzingDavid Shriver, Sebastian G. Elbaum, Matthew B. Dwyer, David S. Rosenblum. 4934-4942 [doi]
• Sensitivity Analysis of Deep Neural NetworksHai Shu, Hongtu Zhu. 4943-4950 [doi]
• Transferable Curriculum for Weakly-Supervised Domain AdaptationYang Shu, Zhangjie Cao, Mingsheng Long, Jianmin Wang. 4951-4958 [doi]
• Unsupervised Transfer Learning for Spoken Language Understanding in Intelligent AgentsAditya Siddhant, Anuj Kumar Goyal, Angeliki Metallinou. 4959-4966 [doi]
• Safe Policy Improvement with Baseline Bootstrapping in Factored EnvironmentsThiago D. Simão, Matthijs T. J. Spaan. 4967-4974 [doi]
• Composable Modular Reinforcement LearningChristopher L. Simpkins, Charles L. Isbell Jr.. 4975-4982 [doi]
• Hierarchical Context Enabled Recurrent Neural Network for RecommendationKyungwoo Song, Mingi Ji, Sungrae Park, Il-Chul Moon. 4983-4991 [doi]
• Diversity-Driven Extensible Hierarchical Reinforcement LearningYuhang Song, Jianyi Wang, Thomas Lukasiewicz, Zhenghua Xu, Mai Xu. 4992-4999 [doi]
• On the Persistence of Clustering Solutions and True Number of Clusters in a DatasetAmber Srivastava, Mayank Baranwal, Srinivasa M. Salapaka. 5000-5007 [doi]
• Soft Facial Landmark Detection by Label Distribution LearningKai Su, Xin Geng. 5008-5015 [doi]
• Partial Multi-Label Learning by Low-Rank and Sparse DecompositionLijuan Sun, Songhe Feng, Tao Wang, Congyan Lang, Yi Jin. 5016-5023 [doi]
• Multi-Precision Quantized Neural Networks via Encoding Decomposition of {-1, +1}Qigong Sun, Fanhua Shang, Kang Yang, Xiufang Li, Yan Ren, Licheng Jiao. 5024-5032 [doi]
• Non-Ergodic Convergence Analysis of Heavy-Ball AlgorithmsTao Sun 0005, Penghang Yin, Dongsheng Li, Chun Huang, Lei Guan, Hao Jiang 0001. 5033-5040 [doi]
• Network Structure and Transfer Behaviors Embedding via Deep Prediction ModelXin Sun 0007, Zenghui Song, Junyu Dong, Yongbo Yu, Claudia Plant, Christian Böhm. 5041-5048 [doi]
• Learning Vine Copula Models for Synthetic Data GenerationYi Sun, Alfredo Cuesta-Infante, Kalyan Veeramachaneni. 5049-5057 [doi]
• Matrix Completion for Graph-Based Deep Semi-Supervised LearningFariborz Taherkhani, Hadi Kazemi, Nasser M. Nasrabadi. 5058-5065 [doi]
• Variational Autoencoder with Implicit Optimal PriorsHiroshi Takahashi, Tomoharu Iwata, Yuki Yamanaka, Masanori Yamada, Satoshi Yagi. 5066-5073 [doi]
• Character n-Gram Embeddings to Improve RNN Language ModelsSho Takase, Jun Suzuki, Masaaki Nagata. 5074-5082 [doi]
• Coreset Stochastic Variance-Reduced Gradient with Application to Optimal Margin Distribution MachineZhi-Hao Tan, Teng Zhang, Wei Wang. 5083-5090 [doi]
• Refining Coarse-Grained Spatial Data Using Auxiliary Spatial Data Sets with Various GranularitiesYusuke Tanaka 0002, Tomoharu Iwata, Toshiyuki Tanaka, Takeshi Kurashima, Maya Okawa, Hiroyuki Toda. 5091-5099 [doi]
• Cross-View Local Structure Preserved Diversity and Consensus Learning for Multi-View Unsupervised Feature SelectionChang Tang, Xinzhong Zhu, Xinwang Liu, Lizhe Wang. 5101-5108 [doi]
• An Integral Tag Recommendation Model for Textual ContentShijie Tang, Yuan Yao 0001, Suwei Zhang, Feng Xu 0007, Tianxiao Gu, Hanghang Tong, Xiaohui Yan, Jian Lu 0001. 5109-5116 [doi]
• Self-Paced Active Learning: Query the Right Thing at the Right TimeYing-Peng Tang, Sheng-Jun Huang. 5117-5124 [doi]
• A Radical-Aware Attention-Based Model for Chinese Text ClassificationHanqing Tao, Shiwei Tong, Hongke Zhao, Tong Xu, Binbin Jin, Qi Liu. 5125-5132 [doi]
• Optimization of Hierarchical Regression Model with Application to Optimizing Multi-Response Regression K-ary TreesPooya Tavallali, Peyman Tavallali, Mukesh Singhal. 5133-5142 [doi]
• Holographic Factorization Machines for RecommendationYi Tay, Shuai Zhang 0007, Anh Tuan Luu, Siu Cheung Hui, Lina Yao, Tran Dang Quang Vinh. 5143-5150 [doi]
• Clipped Matrix Completion: A Remedy for Ceiling EffectsTakeshi Teshima, Miao Xu, Issei Sato, Masashi Sugiyama. 5151-5158 [doi]
• A Non-Convex Optimization Approach to Correlation ClusteringErik Thiel, Morteza Haghir Chehreghani, Devdatt P. Dubhashi. 5159-5166 [doi]
• Learning Competitive and Discriminative Reconstructions for Anomaly DetectionKai Tian, Shuigeng Zhou, Jianping Fan 0001, Jihong Guan. 5167-5174 [doi]
• Natural Option CriticSaket Tiwari, Philip S. Thomas. 5175-5182 [doi]
• Learning Triggers for Heterogeneous Treatment EffectsChristopher Tran, Elena Zheleva. 5183-5190 [doi]
• Improving GAN with Neighbors Embedding and Gradient MatchingNgoc-Trung Tran, Tuan-Anh Bui, Ngai-Man Cheung. 5191-5198 [doi]
• Predicting Urban Dispersal Events: A Two-Stage Framework through Deep Survival Analysis on Mobility DataAmin Vahedian, Xun Zhou, Ling Tong, W. Nick Street, Yanhua Li. 5199-5206 [doi]
• Automatic Bayesian Density AnalysisAntonio Vergari, Alejandro Molina 0001, Robert Peharz, Zoubin Ghahramani, Kristian Kersting, Isabel Valera. 5207-5215 [doi]
• Robust Anomaly Detection in Videos Using Multilevel RepresentationsHung Vu, Tu Dinh Nguyen, Trung Le, Wei Luo, Dinh Q. Phung. 5216-5223 [doi]
• CAMO: A Collaborative Ranking Method for Content Based RecommendationChengwei Wang, Tengfei Zhou, Chen Chen 0043, Tianlei Hu, Gang Chen. 5224-5231 [doi]
• Video Inpainting by Jointly Learning Temporal Structure and Spatial DetailsChuan Wang, Haibin Huang, Xiaoguang Han, Jue Wang. 5232-5239 [doi]
• Bounding Uncertainty for Active Batch SelectionHanmo Wang, Runwu Zhou, Yi-Dong Shen. 5240-5247 [doi]
• Adversarial Binary Collaborative Filtering for Implicit FeedbackHaoyu Wang, Nan Shao, Defu Lian. 5248-5255 [doi]
• Theoretical Analysis of Label Distribution LearningJing Wang, Xin Geng. 5256-5263 [doi]
• Orderly Subspace ClusteringJing Wang, Atsushi Suzuki, Linchuan Xu, Feng Tian, Liang Yang 0002, Kenji Yamanishi. 5264-5272 [doi]
• SVM-Based Deep Stacking NetworksJingyuan Wang, Kai-Feng, Junjie Wu. 5273-5280 [doi]
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• Scalable Distributed DL Training: Batching Communication and ComputationShaoqi Wang, Aidi Pi, Xiaobo Zhou 0002. 5289-5296 [doi]
• HyperAdam: A Learnable Task-Adaptive Adam for Network TrainingShipeng Wang, Jian Sun 0009, ZongBen Xu. 5297-5304 [doi]
• A Sharper Generalization Bound for Divide-and-Conquer Ridge RegressionShusen Wang. 5305-5312 [doi]
• Robustness Can Be Cheap: A Highly Efficient Approach to Discover Outliers under High Outlier RatiosSiqi Wang, En Zhu, Xiping Hu 0001, Xinwang Liu, Qiang Liu 0004, Jianping Yin, Fei Wang. 5313-5320 [doi]
• SCNN: A General Distribution Based Statistical Convolutional Neural Network with Application to Video Object DetectionTianchen Wang, Jinjun Xiong, Xiaowei Xu 0004, Yiyu Shi. 5321-5328 [doi]
• Explainable Reasoning over Knowledge Graphs for RecommendationXiang Wang, Dingxian Wang, Canran Xu, Xiangnan He 0001, Yixin Cao 0003, Tat-Seng Chua. 5329-5336 [doi]
• Hyperbolic Heterogeneous Information Network EmbeddingXiao Wang, Yiding Zhang, Chuan Shi. 5337-5344 [doi]
• Transferable Attention for Domain AdaptationXimei Wang, Liang Li, Weirui Ye, Mingsheng Long, Jianmin Wang. 5345-5352 [doi]
• Multiple Independent Subspace ClusteringsXing Wang, Jun Wang 0035, Carlotta Domeniconi, Guoxian Yu, Guoqiang Xiao, Maozu Guo. 5353-5360 [doi]
• Deep Metric Learning by Online Soft Mining and Class-Aware AttentionXinshao Wang, Yang Hua, Elyor Kodirov, Guosheng Hu, Neil Martin Robertson. 5361-5368 [doi]
• Universal Approximation Property and Equivalence of Stochastic Computing-Based Neural Networks and Binary Neural NetworksYanzhi Wang, Zheng Zhan 0001, Liang Zhao, Jian Tang 0008, Siyue Wang, Jiayu Li, Bo Yuan 0001, Wujie Wen, Xue Lin. 5369-5376 [doi]
• Non-Autoregressive Machine Translation with Auxiliary RegularizationYiren Wang, Fei Tian, Di He, Tao Qin, ChengXiang Zhai, Tie-Yan Liu. 5377-5384 [doi]
• Learning Compact Model for Large-Scale Multi-Label DataTong Wei, Yu-Feng Li. 5385-5392 [doi]
• Unified Embedding Alignment with Missing Views Inferring for Incomplete Multi-View ClusteringJie Wen, Zheng Zhang, Yong Xu 0001, Bob Zhang, Lunke Fei, Hong Liu. 5393-5400 [doi]
• Exploiting Local Feature Patterns for Unsupervised Domain AdaptationJun Wen, Risheng Liu, Nenggan Zheng, Qian Zheng, Zhefeng Gong, Junsong Yuan. 5401-5408 [doi]
• RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time SeriesQingsong Wen, Jingkun Gao, Xiaomin Song, Liang Sun 0001, Huan Xu, Shenghuo Zhu. 5409-5416 [doi]
• Efficient Gaussian Process Classification Using Pólya-Gamma Data AugmentationFlorian Wenzel, Théo Galy-Fajou, Christian Donner, Marius Kloft, Manfred Opper. 5417-5424 [doi]
• How Does Knowledge of the AUC Constrain the Set of Possible Ground-Truth Labelings?Jacob Whitehill. 5425-5432 [doi]
• Uncovering Specific-Shape Graph Anomalies in Attributed GraphsNannan Wu, Wenjun Wang, Feng Chen 0001, Jianxin Li, Bo Li, Jinpeng Huai. 5433-5440 [doi]
• Point Cloud Processing via Recurrent Set EncodingPengxiang Wu, Chao Chen 0012, Jingru Yi, Dimitris N. Metaxas. 5441-5449 [doi]
• Improving Domain-Specific Classification by Collaborative Learning with Adaptation NetworksSi Wu, Jian Zhong, Wenming Cao 0002, Rui Li, Zhiwen Yu 0002, Hau-San Wong. 5450-5457 [doi]
• Modelling of Bi-Directional Spatio-Temporal Dependence and Users' Dynamic Preferences for Missing POI Check-In IdentificationDongbo Xi, Fuzhen Zhuang, Yanchi Liu, Jingjing Gu, Hui Xiong, Qing He. 5458-5465 [doi]
• Tied Transformers: Neural Machine Translation with Shared Encoder and DecoderYingce Xia, Tianyu He, Xu Tan, Fei Tian, Di He, Tao Qin. 5466-5473 [doi]
• Bayesian Deep Collaborative Matrix FactorizationTeng Xiao, Shangsong Liang, Weizhou Shen, Zaiqiao Meng. 5474-5481 [doi]
• RS3CIS: Robust Single-Step Spectral Clustering with Intrinsic SubspaceYun Xiao, Pengzhen Ren, Zhihui Li, XiaoJiang Chen, Xin Wang, Dingyi Fang. 5482-5489 [doi]
• Understanding Persuasion Cascades in Online Product Rating SystemsHong Xie 0004, Yongkun Li, John C. S. Lui. 5490-5497 [doi]
• Learning Dynamic Generator Model by Alternating Back-Propagation through TimeJianwen Xie, RuiQi Gao, Zilong Zheng, Song Chun Zhu, Ying Nian Wu. 5498-5507 [doi]
• Multi-View Multi-Instance Multi-Label Learning Based on Collaborative Matrix FactorizationYuying Xing, Guoxian Yu, Carlotta Domeniconi, Jun Wang 0035, Zili Zhang, Maozu Guo. 5508-5515 [doi]
• SpHMC: Spectral Hamiltonian Monte CarloHaoyi Xiong, Kafeng Wang, Jiang Bian, Zhanxing Zhu, Cheng-Zhong Xu 0001, Zhishan Guo, Jun Huan. 5516-5524 [doi]
• Modeling Local Dependence in Natural Language with Multi-Channel Recurrent Neural NetworksChang Xu, Weiran Huang, Hongwei Wang, Gang Wang, Tie-Yan Liu. 5525-5532 [doi]
• Hierarchical Classification Based on Label Distribution LearningChangdong Xu, Xin Geng. 5533-5540 [doi]
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• Weighted Oblique Decision TreesBin-Bin Yang, Song-Qing Shen, Wei Gao. 5621-5627 [doi]
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• Unsupervised Fake News Detection on Social Media: A Generative ApproachShuo Yang, Kai Shu, Suhang Wang, Renjie Gu, Fan Wu 0006, Huan Liu 0001. 5644-5651 [doi]
• Deep Robust Unsupervised Multi-Modal NetworkYang Yang, Yi-Feng Wu, De-Chuan Zhan, Zhi-bin Liu, Yuan Jiang 0001. 5652-5659 [doi]
• Learning Personalized Attribute Preference via Multi-Task AUC OptimizationZhiyong Yang, Qianqian Xu, Xiaochun Cao, Qingming Huang. 5660-5667 [doi]
• Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic PredictionHuaxiu Yao, Xianfeng Tang, Hua Wei, Guanjie Zheng, Zhenhui Li. 5668-5675 [doi]
• Balanced Sparsity for Efficient DNN Inference on GPUZhuliang Yao, Shijie Cao, Wencong Xiao, Chen Zhang, Lanshun Nie. 5676-5683 [doi]
• Iterative Classroom TeachingTeresa Yeo, Parameswaran Kamalaruban, Adish Singla, Arpit Merchant, Thibault Asselborn, Louis Faucon, Pierre Dillenbourg, Volkan Cevher. 5684-5692 [doi]
• Parallel Restarted SGD with Faster Convergence and Less Communication: Demystifying Why Model Averaging Works for Deep LearningHao Yu, Sen Yang, Shenghuo Zhu. 5693-5700 [doi]
• Network Recasting: A Universal Method for Network Architecture TransformationJoonsang Yu, Sungbum Kang, Kiyoung Choi. 5701-5708 [doi]
• Multi-Order Attentive Ranking Model for Sequential RecommendationLu Yu 0006, Chuxu Zhang, Shangsong Liang, Xiangliang Zhang. 5709-5716 [doi]
• Interpreting Deep Models for Text Analysis via Optimization and Regularization MethodsHao Yuan, Yongjun Chen, Xia Hu, Shuiwang Ji. 5717-5724 [doi]
• f-Similarity Preservation Loss for Soft Labels: A Demonstration on Cross-Corpus Speech Emotion RecognitionBiqiao Zhang, Yuqing Kong, Georg Essl, Emily Mower Provost. 5725-5732 [doi]
• Partially Observable Multi-Sensor Sequential Change Detection: A Combinatorial Multi-Armed Bandit ApproachChen Zhang, Steven C. H. Hoi. 5733-5740 [doi]
• Active Mini-Batch Sampling Using Repulsive Point ProcessesCheng Zhang 0005, Cengiz Öztireli, Stephan Mandt, Giampiero Salvi. 5741-5748 [doi]
• Learning Set Functions with Limited ComplementarityHanrui Zhang. 5749-5756 [doi]
• RecurJac: An Efficient Recursive Algorithm for Bounding Jacobian Matrix of Neural Networks and Its ApplicationsHuan Zhang, Pengchuan Zhang, Cho-Jui Hsieh. 5757-5764 [doi]
• A Powerful Global Test Statistic for Functional Statistical InferenceJingwen Zhang, Joseph G. Ibrahim, Tengfei Li, Hongtu Zhu. 5765-5772 [doi]
• Interactive Attention Transfer Network for Cross-Domain Sentiment ClassificationKai Zhang, Hefu Zhang, Qi Liu, Hongke Zhao, Hengshu Zhu, Enhong Chen. 5773-5780 [doi]
• Learning to Communicate and Solve Visual Blocks-World TasksQi Zhang, Richard Lewis, Satinder Singh, Edmund H. Durfee. 5781-5788 [doi]
• ACE: An Actor Ensemble Algorithm for Continuous Control with Tree SearchShangtong Zhang, Hengshuai Yao. 5789-5796 [doi]
• QUOTA: The Quantile Option Architecture for Reinforcement LearningShangtong Zhang, Hengshuai Yao. 5797-5804 [doi]
• Hashtag Recommendation for Photo Sharing ServicesSuwei Zhang, Yuan Yao 0001, Feng Xu 0007, Hanghang Tong, Xiaohui Yan, Jian Lu 0001. 5805-5812 [doi]
• Find Me if You Can: Deep Software Clone Detection by Exploiting the Contest between the Plagiarist and the DetectorYan-Ya Zhang, Ming Li 0005. 5813-5820 [doi]
• CAFE: Adaptive VDI Workload Prediction with Multi-Grained FeaturesYao Zhang, Wen-Ping Fan, Xuan Wu, Hua Chen, Bin-Yang Li, Min-Ling Zhang. 5821-5828 [doi]
• Bayesian Graph Convolutional Neural Networks for Semi-Supervised ClassificationYingxue Zhang, Soumyasundar Pal, Mark Coates, Deniz Üstebay. 5829-5836 [doi]
• Learning (from) Deep Hierarchical Structure among FeaturesYu Zhang, Lei Han. 5837-5844 [doi]
• Learning Uniform Semantic Features for Natural Language and Programming Language Globally, Locally and SequentiallyYudong Zhang, Wenhao Zheng, Ming Li. 5845-5852 [doi]
• SADIH: Semantic-Aware DIscrete HashingZheng Zhang, Guo-Sen Xie, Yang Li, Sheng Li, Zi Huang. 5853-5860 [doi]
• Submodular Optimization over Streams with Inhomogeneous DecaysJunzhou Zhao, Shuo Shang, Pinghui Wang, John C. S. Lui, Xiangliang Zhang. 5861-5868 [doi]
• The Adversarial Attack and Detection under the Fisher Information MetricChenxiao Zhao, P. Thomas Fletcher, Mixue Yu, Yaxin Peng, Guixu Zhang, Chaomin Shen. 5869-5876 [doi]
• Where to Go Next: A Spatio-Temporal Gated Network for Next POI RecommendationPengpeng Zhao, Haifeng Zhu, Yanchi Liu, Jiajie Xu, Zhixu Li, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou. 5877-5884 [doi]
• InfoVAE: Balancing Learning and Inference in Variational AutoencodersShengjia Zhao, Jiaming Song, Stefano Ermon. 5885-5892 [doi]
• Self-Adversarially Learned Bayesian SamplingYang Zhao, Jianyi Zhang, Changyou Chen. 5893-5900 [doi]
• Biomedical Image Segmentation via Representative AnnotationHao Zheng, Lin Yang, Jianxu Chen, Jun Han, Yizhe Zhang, Peixian Liang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen. 5901-5908 [doi]
• A New Ensemble Learning Framework for 3D Biomedical Image SegmentationHao Zheng, Yizhe Zhang, Lin Yang, Peixian Liang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen. 5909-5916 [doi]
• Understanding VAEs in Fisher-Shannon PlaneHuangjie Zheng, Jiangchao Yao, Ya Zhang 0002, Ivor W. Tsang, Jia Wang. 5917-5924 [doi]
• Capacity Control of ReLU Neural Networks by Basis-Path NormShuxin Zheng, Qi Meng, Huishuai Zhang, Wei Chen 0034, Nenghai Yu, Tie-Yan Liu. 5925-5932 [doi]
• Self-Supervised Mixture-of-Experts by Uncertainty EstimationZhuobin Zheng, Chun Yuan, Xinrui Zhu, Zhihui Lin, Yangyang Cheng, Cheng Shi, Jiahui Ye. 5933-5940 [doi]
• Deep Interest Evolution Network for Click-Through Rate PredictionGuorui Zhou, Na Mou, Ying Fan, Qi Pi, Weijie Bian, Chang Zhou, Xiaoqiang Zhu, Kun Gai. 5941-5948 [doi]
• An Efficient Compressive Convolutional Network for Unified Object Detection and Image CompressionXichuan Zhou, Lang Xu, Shujun Liu, Yingcheng Lin, Lei Zhang 0038, Cheng Zhuo. 5949-5956 [doi]
• Communication-Optimal Distributed Dynamic Graph ClusteringChun Jiang Zhu, Tan Zhu, Kam-yiu Lam, Song Han, Jinbo Bi. 5957-5964 [doi]
• A Domain Generalization Perspective on Listwise Context ModelingLin Zhu, Yihong Chen, Bowen He. 5965-5972 [doi]
• DAN: Deep Attention Neural Network for News RecommendationQiannan Zhu, Xiaofei Zhou, Zeliang Song, Jianlong Tan, Li Guo. 5973-5980 [doi]
• Residual Invertible Spatio-Temporal Network for Video Super-ResolutionXiaobin Zhu, Zhuangzi Li, Xiao-Yu Zhang, Changsheng Li, Yaqi Liu, Ziyu Xue. 5981-5988 [doi]
• Aligning Domain-Specific Distribution and Classifier for Cross-Domain Classification from Multiple SourcesYongchun Zhu, Fuzhen Zhuang, Deqing Wang. 5989-5996 [doi]
• Consensus Adversarial Domain AdaptationHan Zou, Yuxun Zhou, Jianfei Yang, Huihan Liu, Hari Prasanna Das, Costas J. Spanos. 5997-6004 [doi]
• Verification of RNN-Based Neural Agent-Environment SystemsMichael E. Akintunde, Andreea Kevorchian, Alessio Lomuscio, Edoardo Pirovano. 6006-6013 [doi]
• Bayesian Execution Skill EstimationChristopher Archibald, Delma Nieves-Rivera. 6014-6021 [doi]
• Consensus in Opinion Formation Processes in Fully Evolving EnvironmentsVincenzo Auletta, Angelo Fanelli 0001, Diodato Ferraioli. 6022-6029 [doi]
• An Abstraction-Based Method for Verifying Strategic Properties in Multi-Agent Systems with Imperfect InformationFrancesco Belardinelli, Alessio Lomuscio, Vadim Malvone. 6030-6037 [doi]
• A Generic Approach to Accelerating Belief Propagation Based Incomplete Algorithms for DCOPs via a Branch-and-Bound TechniqueZiyu Chen, Xingqiong Jiang, Yanchen Deng, Dingding Chen, Zhongshi He. 6038-6045 [doi]
• Distributed Community Detection via Metastability of the 2-Choices DynamicsEmilio Cruciani, Emanuele Natale, Giacomo Scornavacca. 6046-6053 [doi]
• Successor Features Based Multi-Agent RL for Event-Based Decentralized MDPsTarun Gupta 0002, Akshat Kumar, Praveen Paruchuri. 6054-6061 [doi]
• IPOMDP-Net: A Deep Neural Network for Partially Observable Multi-Agent Planning Using Interactive POMDPsYanlin Han, Piotr J. Gmytrasiewicz. 6062-6069 [doi]
• General Robustness Evaluation of Incentive Mechanism against Bounded Rationality Using Continuum-Armed BanditsZehong Hu, Jie Zhang, Zhao Li. 6070-6078 [doi]
• Message-Dropout: An Efficient Training Method for Multi-Agent Deep Reinforcement LearningWoojun Kim, Myungsik Cho, Youngchul Sung. 6079-6086 [doi]
• Symmetry-Breaking Constraints for Grid-Based Multi-Agent Path FindingJiaoyang Li, Daniel Harabor, Peter J. Stuckey, Hang Ma 0001, Sven Koenig. 6087-6095 [doi]
• Multi-Agent Discussion Mechanism for Natural Language GenerationXu Li 0001, Mingming Sun, Ping Li 0001. 6096-6103 [doi]
• Large Scale Learning of Agent Rationality in Two-Player Zero-Sum GamesChun Kai Ling, Fei Fang, J. Zico Kolter. 6104-6111 [doi]
• Leveraging Observations in Bandits: Between Risks and BenefitsAndrei Lupu, Audrey Durand, Doina Precup. 6112-6119 [doi]
• TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-AgentsYuexin Ma, Xinge Zhu, Sibo Zhang, Ruigang Yang, Wenping Wang, Dinesh Manocha. 6120-6127 [doi]
• Learning to Teach in Cooperative Multiagent Reinforcement LearningShayegan Omidshafiei, Dong Ki Kim, Miao Liu, Gerald Tesauro, Matthew Riemer, Christopher Amato, Murray Campbell, Jonathan P. How. 6128-6136 [doi]
• Overcoming Blind Spots in the Real World: Leveraging Complementary Abilities for Joint ExecutionRamya Ramakrishnan, Ece Kamar, Besmira Nushi, Debadeepta Dey, Julie Shah, Eric Horvitz. 6137-6145 [doi]
• Evolution of Collective Fairness in Hybrid Populations of Humans and AgentsFernando P. Santos, Jorge M. Pacheco, Ana Paiva, Francisco C. Santos. 6146-6153 [doi]
• Multi-Winner Contests for Strategic Diffusion in Social NetworksWen Shen, Yang Feng, Cristina V. Lopes. 6154-6162 [doi]
• Theory of Minds: Understanding Behavior in Groups through Inverse PlanningMichael Shum, Max Kleiman-Weiner, Michael L. Littman, Joshua B. Tenenbaum. 6163-6170 [doi]
• Multiagent Decision Making For Maritime Traffic ManagementArambam James Singh, Duc Thien Nguyen, Akshat Kumar, Hoong Chuin Lau. 6171-6178 [doi]
• µ-CalculusFu Song, Yedi Zhang, Taolue Chen, Yu Tang, Zhiwu Xu. 6179-6186 [doi]
• Enriching Word Embeddings with a Regressor Instead of Labeled CorporaMohamed Abdalla, Magnus Sahlgren, Graeme Hirst. 6188-6195 [doi]
• Online Embedding Compression for Text Classification Using Low Rank Matrix FactorizationAnish Acharya, Rahul Goel, Angeliki Metallinou, Inderjit S. Dhillon. 6196-6203 [doi]
• Antonym-Synonym Classification Based on New Sub-Space EmbeddingsMuhammad Asif Ali, Yifang Sun, Xiaoling Zhou, Wei Wang, Xiang Zhao. 6204-6211 [doi]
• AutoSense Model for Word Sense InductionReinald Kim Amplayo, Seung-won Hwang, Min Song 0001. 6212-6219 [doi]
• Re-Evaluating ADEM: A Deeper Look at Scoring Dialogue ResponsesAnanya B. Sai, Mithun Das Gupta, Mitesh M. Khapra, Mukundhan Srinivasan. 6220-6227 [doi]
• Automated Rule Base Completion as Bayesian Concept InductionZied Bouraoui, Steven Schockaert. 6228-6235 [doi]
• GRN: Gated Relation Network to Enhance Convolutional Neural Network for Named Entity RecognitionHui Chen, Zijia Lin, Guiguang Ding, Jianguang Lou, Yusen Zhang, Borje Karlsson. 6236-6243 [doi]
• Incorporating Structured Commonsense Knowledge in Story CompletionJiaao Chen, Jianshu Chen, Zhou Yu. 6244-6251 [doi]
• Deep Short Text Classification with Knowledge Powered AttentionJindong Chen, Yizhou Hu, JingPing Liu, Yanghua Xiao, Haiyun Jiang. 6252-6259 [doi]
• Transfer Learning for Sequence Labeling Using Source Model and Target DataLingzhen Chen, Alessandro Moschitti. 6260-6267 [doi]
• Title-Guided Encoding for Keyphrase GenerationWang Chen, YiFan Gao, Jiani Zhang, Irwin King, Michael R. Lyu. 6268-6275 [doi]
• Convolutional Spatial Attention Model for Reading Comprehension with Multiple-Choice QuestionsZhipeng Chen, Yiming Cui, Wentao Ma, Shijin Wang, Guoping Hu. 6276-6283 [doi]
• Implicit Argument Prediction as Reading ComprehensionPengxiang Cheng, Katrin Erk. 6284-6291 [doi]
• Recurrent Stacking of Layers for Compact Neural Machine Translation ModelsRaj Dabre, Atsushi Fujita. 6292-6299 [doi]
• Joint Extraction of Entities and Overlapping Relations Using Position-Attentive Sequence LabelingDai Dai, Xinyan Xiao, Yajuan Lyu, Shan Dou, Qiaoqiao She, Haifeng Wang. 6300-6308 [doi]
• What Is One Grain of Sand in the Desert? Analyzing Individual Neurons in Deep NLP ModelsFahim Dalvi, Nadir Durrani, Hassan Sajjad, Yonatan Belinkov, Anthony Bau, James R. Glass. 6309-6317 [doi]
• Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question AnsweringYang Deng, Yuexiang Xie, Yaliang Li, Min Yang, Nan Du, Wei Fan, Kai Lei, Ying Shen. 6318-6325 [doi]
• Training Temporal Word Embeddings with a CompassValerio Di Carlo, Federico Bianchi, Matteo Palmonari. 6326-6334 [doi]
• A Pattern-Based Approach to Recognizing Time ExpressionsWentao Ding, Guanji Gao, Linfeng Shi, Yuzhong Qu. 6335-6342 [doi]
• From Independent Prediction to Reordered Prediction: Integrating Relative Position and Global Label Information to Emotion Cause IdentificationZixiang Ding, Huihui He, Mengran Zhang, Rui Xia. 6343-6350 [doi]
• Adapting Translation Models for Transcript Disfluency DetectionQianqian Dong, Feng Wang 0023, Zhen Yang, Wei Chen 0048, Shuang Xu, Bo Xu 0002. 6351-6358 [doi]
• Explicit Interaction Model towards Text ClassificationCunxiao Du, Zhaozheng Chen, Fuli Feng, Lei Zhu 0002, Tian Gan, Liqiang Nie. 6359-6366 [doi]
• "Bilingual Expert" Can Find Translation ErrorsKai Fan, Jiayi Wang, Bo Li, Fengming Zhou, Boxing Chen, Luo Si. 6367-6374 [doi]
• EA Reader: Enhance Attentive Reader for Cloze-Style Question Answering via Multi-Space Context FusionChengzhen Fu, Yan Zhang. 6375-6382 [doi]
• Generating Multiple Diverse Responses for Short-Text ConversationJun Gao, Wei Bi, Xiaojiang Liu, Junhui Li, Shuming Shi. 6383-6390 [doi]
• Structured Two-Stream Attention Network for Video Question AnsweringLianli Gao, Pengpeng Zeng, Jingkuan Song, Yuan-Fang Li, Wu Liu, Tao Mei, Heng Tao Shen. 6391-6398 [doi]
• Abstractive Text Summarization by Incorporating Reader CommentsShen Gao, Xiuying Chen, Piji Li, Zhaochun Ren, Lidong Bing, Dongyan Zhao 0001, Rui Yan. 6399-6406 [doi]
• Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation ClassificationTianyu Gao, Xu Han, Zhiyuan Liu 0001, Maosong Sun. 6407-6414 [doi]
• Predicting and Analyzing Language Specificity in Social Media PostsYiFan Gao, Yang Zhong, Daniel Preotiuc-Pietro, Junyi Jessy Li. 6415-6422 [doi]
• Generating Distractors for Reading Comprehension Questions from Real ExaminationsYiFan Gao, Lidong Bing, Piji Li, Irwin King, Michael R. Lyu. 6423-6430 [doi]
• Kernelized Hashcode Representations for Relation ExtractionSahil Garg, Aram Galstyan, Greg Ver Steeg, Irina Rish, Guillermo A. Cecchi, Shuyang Gao. 6431-6440 [doi]
• MNCN: A Multilingual Ngram-Based Convolutional Network for Aspect Category Detection in Online ReviewsErfan Ghadery, Sajad Movahedi, Heshaam Faili, Azadeh Shakery. 6441-6448 [doi]
• Sentence-Wise Smooth Regularization for Sequence to Sequence LearningChengYue Gong, Xu Tan, Di He, Tao Qin. 6449-6456 [doi]
• Switch-LSTMs for Multi-Criteria Chinese Word SegmentationJingjing Gong, Xinchi Chen, Tao Gui, Xipeng Qiu. 6457-6464 [doi]
• Deep Cascade Multi-Task Learning for Slot Filling in Online Shopping AssistantYu Gong, Xusheng Luo, Yu Zhu, Wenwu Ou, Zhao Li, Muhua Zhu, Kenny Q. Zhu, Lu Duan, Xi Chen. 6465-6472 [doi]
• Story Ending Generation with Incremental Encoding and Commonsense KnowledgeJian Guan, Yansen Wang, Minlie Huang. 6473-6480 [doi]
• Long Short-Term Memory with Dynamic Skip ConnectionsTao Gui, Qi Zhang, Lujun Zhao, Yaosong Lin, Minlong Peng, Jingjing Gong, Xuanjing Huang. 6481-6488 [doi]
• Gaussian Transformer: A Lightweight Approach for Natural Language InferenceMaosheng Guo, Yu Zhang, Ting Liu. 6489-6496 [doi]
• GIRNet: Interleaved Multi-Task Recurrent State Sequence ModelsDivam Gupta, Tanmoy Chakraborty 0002, Soumen Chakrabarti. 6497-6504 [doi]
• Document Informed Neural Autoregressive Topic Models with Distributional PriorPankaj Gupta, Yatin Chaudhary, Florian Buettner, Hinrich Schütze 0001. 6505-6512 [doi]
• Neural Relation Extraction within and across Sentence BoundariesPankaj Gupta, Subburam Rajaram, Hinrich Schütze 0001, Thomas A. Runkler. 6513-6520 [doi]
• PARABANK: Monolingual Bitext Generation and Sentential Paraphrasing via Lexically-Constrained Neural Machine TranslationJ. Edward Hu, Rachel Rudinger, Matt Post, Benjamin Van Durme. 6521-6528 [doi]
• Read + Verify: Machine Reading Comprehension with Unanswerable QuestionsMinghao Hu, Furu Wei, Yuxing Peng, Zhen Huang, Nan Yang, Dongsheng Li. 6529-6537 [doi]
• Recurrent Poisson Process Unit for Speech RecognitionHengguan Huang, Hao Wang, Brian Mak. 6538-6545 [doi]
• Dictionary-Guided Editing Networks for Paraphrase GenerationShaohan Huang, Yu Wu 0006, Furu Wei, Zhongzhi Luan. 6546-6553 [doi]
• Unsupervised Controllable Text FormalizationParag Jain, Abhijit Mishra, Amar Prakash Azad, Karthik Sankaranarayanan. 6554-6561 [doi]
• Word Embedding as Maximum A Posteriori EstimationShoaib Jameel, Zihao Fu, Bei Shi, Wai Lam, Steven Schockaert. 6562-6569 [doi]
• Understanding Actors and Evaluating Personae with Gaussian EmbeddingsHannah Kim, Denys Katerenchuk, Daniel Billet, Jun Huan, Haesun Park, Boyang Li. 6570-6577 [doi]
• Predicting the Argumenthood of English Prepositional PhrasesNajoung Kim, Kyle Rawlins, Benjamin Van Durme, Paul Smolensky. 6578-6585 [doi]
• Semantic Sentence Matching with Densely-Connected Recurrent and Co-Attentive InformationSeonhoon Kim, Inho Kang, Nojun Kwak. 6586-6593 [doi]
• Dynamic Compositionality in Recursive Neural Networks with Structure-Aware Tag RepresentationsTaeuk Kim, Jihun Choi, Daniel Edmiston, Sanghwan Bae, Sang-goo Lee. 6594-6601 [doi]
• Improving Neural Question Generation Using Answer SeparationYanghoon Kim, Hwanhee Lee, Joongbo Shin, Kyomin Jung. 6602-6609 [doi]
• Domain Agnostic Real-Valued Specificity PredictionWei-Jen Ko, Greg Durrett, Junyi Jessy Li. 6610-6617 [doi]
• Neural Machine Translation with Adequacy-Oriented LearningXiang Kong, Zhaopeng Tu, Shuming Shi, Eduard H. Hovy, Tong Zhang. 6618-6625 [doi]
• Fast and Simple Mixture of Softmaxes with BPE and Hybrid-LightRNN for Language GenerationXiang Kong, Qizhe Xie, Zihang Dai, Eduard H. Hovy. 6626-6633 [doi]
• Lattice CNNs for Matching Based Chinese Question AnsweringYuxuan Lai, Yansong Feng, Xiaohan Yu, Zheng Wang, Kun Xu, Dongyan Zhao 0001. 6634-6641 [doi]
• Zero-Shot Adaptive Transfer for Conversational Language UnderstandingSungjin Lee, Rahul Jha. 6642-6649 [doi]
• A Human-Like Semantic Cognition Network for Aspect-Level Sentiment ClassificationZeyang Lei, Yujiu Yang, Min Yang, Wei Zhao, Jun Guo, Yi Liu 0021. 6650-6657 [doi]
• Dependency Grammar Induction with a Neural Variational Transition-Based ParserBowen Li, Jianpeng Cheng 0001, Yang Liu 0124, Frank Keller. 6658-6665 [doi]
• Knowledge-Driven Encode, Retrieve, Paraphrase for Medical Image Report GenerationChristy Y. Li, Xiaodan Liang, Zhiting Hu, Eric P. Xing. 6666-6673 [doi]
• What Should I Learn First: Introducing LectureBank for NLP Education and Prerequisite Chain LearningIrene Li, Alexander R. Fabbri, Robert R. Tung, Dragomir R. Radev. 6674-6681 [doi]
• Differentiated Distribution Recovery for Neural Text GenerationJianing Li, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng. 6682-6689 [doi]
• Towards Personalized Review Summarization via User-Aware Sequence NetworkJunjie Li, Haoran Li, Chengqing Zong. 6690-6697 [doi]
• Insufficient Data Can Also Rock! Learning to Converse Using Smaller Data with AugmentationJuntao Li, Lisong Qiu, Bo Tang, Dongmin Chen, Dongyan Zhao 0001, Rui Yan. 6698-6705 [doi]
• Neural Speech Synthesis with Transformer NetworkNaihan Li, Shujie Liu 0001, Yanqing Liu, Sheng Zhao, Ming Liu. 6706-6713 [doi]
• A Unified Model for Opinion Target Extraction and Target Sentiment PredictionXin Li, Lidong Bing, Piji Li, Wai Lam. 6714-6721 [doi]
• Dialogue Generation: From Imitation Learning to Inverse Reinforcement LearningZiming Li, Julia Kiseleva, Maarten de Rijke. 6722-6729 [doi]
• Dependency or Span, End-to-End Uniform Semantic Role LabelingZuchao Li, Shexia He, Hai Zhao, Yiqing Zhang, Zhuosheng Zhang, Xi Zhou, Xiang Zhou. 6730-6737 [doi]
• A Generalized Idiom Usage Recognition Model Based on Semantic CompatibilityChangsheng Liu, Rebecca Hwa. 6738-6745 [doi]
• Leveraging Web Semantic Knowledge in Word Representation LearningHaoyan Liu, Lei Fang, Jian-Guang Lou, Zhoujun Li. 6746-6753 [doi]
• Exploiting the Ground-Truth: An Adversarial Imitation Based Knowledge Distillation Approach for Event DetectionJian Liu, Yubo Chen 0001, Kang Liu 0001. 6754-6761 [doi]
• Contextualized Non-Local Neural Networks for Sequence LearningPengfei Liu, Shuaichen Chang, Xuanjing Huang, Jian Tang, Jackie Chi Kit Cheung. 6762-6769 [doi]
• FANDA: A Novel Approach to Perform Follow-Up Query AnalysisQian Liu, Bei Chen, Jian-Guang Lou, Ge Jin, Dongmei Zhang. 6770-6777 [doi]
• Unsupervised Post-Processing of Word Vectors via Conceptor NegationTianlin Liu, Lyle Ungar, João Sedoc. 6778-6785 [doi]
• Hierarchical Encoder with Auxiliary Supervision for Neural Table-to-Text Generation: Learning Better Representation for TablesTianyu Liu, Fuli Luo, Qiaolin Xia, Shuming Ma, Baobao Chang, Zhifang Sui. 6786-6793 [doi]
• Learning Personalized End-to-End Goal-Oriented DialogLiangchen Luo, Wenhao Huang, Qi Zeng, Zaiqing Nie, Xu Sun 0001. 6794-6801 [doi]
• SAM-Net: Integrating Event-Level and Chain-Level Attentions to Predict What Happens NextShangwen Lv, Wanhui Qian, Longtao Huang, Jizhong Han, Songlin Hu. 6802-6809 [doi]
• LiveBot: Generating Live Video Comments Based on Visual and Textual ContextsShuming Ma, Lei Cui, Damai Dai, Furu Wei, Xu Sun 0001. 6810-6817 [doi]
• DialogueRNN: An Attentive RNN for Emotion Detection in ConversationsNavonil Majumder, Soujanya Poria, Devamanyu Hazarika, Rada Mihalcea, Alexander F. Gelbukh, Erik Cambria. 6818-6825 [doi]
• Weakly-Supervised Hierarchical Text ClassificationYu Meng, Jiaming Shen, Chao Zhang, Jiawei Han 0001. 6826-6833 [doi]
• CGMH: Constrained Sentence Generation by Metropolis-Hastings SamplingNing Miao, Hao Zhou, Lili Mou, Rui Yan, Lei Li. 6834-6842 [doi]
• Spell Once, Summon Anywhere: A Two-Level Open-Vocabulary Language ModelSebastian J. Mielke, Jason Eisner. 6843-6850 [doi]
• One for All: Neural Joint Modeling of Entities and EventsTrung Minh Nguyen, Thien Huu Nguyen. 6851-6858 [doi]
• Combining Fact Extraction and Verification with Neural Semantic Matching NetworksYixin Nie, Haonan Chen, Mohit Bansal. 6859-6866 [doi]
• Analyzing Compositionality-Sensitivity of NLI ModelsYixin Nie, Yicheng Wang, Mohit Bansal. 6867-6874 [doi]
• HAS-QA: Hierarchical Answer Spans Model for Open-Domain Question AnsweringLiang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Lixin Su, Xueqi Cheng. 6875-6882 [doi]
• Paraphrase Diversification Using Counterfactual DebiasingSunghyun Park, Seung-won Hwang, Fuxiang Chen, Jaegul Choo, Jung-Woo Ha, Sunghun Kim 0001, Jinyeong Yim. 6883-6891 [doi]
• Found in Translation: Learning Robust Joint Representations by Cyclic Translations between ModalitiesHai Pham, Paul Pu Liang, Thomas Manzini, Louis-Philippe Morency, Barnabás Póczos. 6892-6899 [doi]
• Unseen Word Representation by Aligning Heterogeneous Lexical Semantic SpacesVictor Prokhorov, Mohammad Taher Pilehvar, Dimitri Kartsaklis, Pietro Lio', Nigel Collier. 6900-6907 [doi]
• Data-to-Text Generation with Content Selection and PlanningRatish Puduppully, Li Dong 0004, Mirella Lapata. 6908-6915 [doi]
• Jointly Learning to Label Sentences and TokensMarek Rei, Anders Søgaard. 6916-6923 [doi]
• Zero-Shot Neural Transfer for Cross-Lingual Entity LinkingShruti Rijhwani, Jiateng Xie, Graham Neubig, Jaime G. Carbonell. 6924-6931 [doi]
• COALA: A Neural Coverage-Based Approach for Long Answer Selection with Small DataAndreas Rücklé, Nafise Sadat Moosavi, Iryna Gurevych. 6932-6939 [doi]
• Revisiting LSTM Networks for Semi-Supervised Text Classification via Mixed Objective FunctionDevendra Singh Sachan, Manzil Zaheer, Ruslan Salakhutdinov. 6940-6948 [doi]
• A Hierarchical Multi-Task Approach for Learning Embeddings from Semantic TasksVictor Sanh, Thomas Wolf, Sebastian Ruder. 6949-6956 [doi]
• On Resolving Ambiguous Anaphoric Expressions in Imperative DiscourseVasanth Sarathy, Matthias Scheutz. 6957-6964 [doi]
• Learning Semantic Representations for Novel Words: Leveraging Both Form and ContextTimo Schick, Hinrich Schütze. 6965-6973 [doi]
• Challenges in the Automatic Analysis of Students' Diagnostic ReasoningClaudia Schulz 0001, Christian M. Meyer, Iryna Gurevych. 6974-6981 [doi]
• Analysis of Joint Multilingual Sentence Representations and Semantic K-Nearest Neighbor GraphsHolger Schwenk, Douwe Kiela, Matthijs Douze. 6982-6990 [doi]
• Learning to Embed Sentences Using Attentive Recursive TreesJiaxin Shi, Lei Hou, Juanzi Li, Zhiyuan Liu 0001, Hanwang Zhang. 6991-6998 [doi]
• DeepChannel: Salience Estimation by Contrastive Learning for Extractive Document SummarizationJiaxin Shi, Chen Liang, Lei Hou, Juanzi Li, Zhiyuan Liu 0001, Hanwang Zhang. 6999-7006 [doi]
• A Deep Sequential Model for Discourse Parsing on Multi-Party DialoguesZhouxing Shi, Minlie Huang. 7007-7014 [doi]
• GlobalTrait: Personality Alignment of Multilingual Word EmbeddingsFarhad Bin Siddique, Dario Bertero, Pascale Fung. 7015-7022 [doi]
• Exploring Knowledge Graphs in an Interpretable Composite Approach for Text EntailmentVivian Dos Santos Silva, André Freitas, Siegfried Handschuh. 7023-7030 [doi]
• Fast PMI-Based Word Embedding with Efficient Use of Unobserved PatternsBehrouz Haji Soleimani, Stan Matwin. 7031-7038 [doi]
• Distantly Supervised Entity Relation Extraction with Adapted Manual AnnotationsChangzhi Sun, Yuanbin Wu. 7039-7046 [doi]
• Towards Sentence-Level Brain Decoding with Distributed RepresentationsJingyuan Sun, Shaonan Wang, Jiajun Zhang, Chengqing Zong. 7047-7054 [doi]
• A Grammar-Based Structural CNN Decoder for Code GenerationZeyu Sun, Qihao Zhu, Lili Mou, Yingfei Xiong, Ge Li, Lu Zhang. 7055-7062 [doi]
• QUAREL: A Dataset and Models for Answering Questions about Qualitative RelationshipsOyvind Tafjord, Peter Clark, Matt Gardner 0001, Wen-tau Yih, Ashish Sabharwal. 7063-7071 [doi]
• A Hierarchical Framework for Relation Extraction with Reinforcement LearningRyuichi Takanobu, Tianyang Zhang, Jiexi Liu, Minlie Huang. 7072-7079 [doi]
• Jointly Extracting Multiple Triplets with Multilayer Translation ConstraintsZhen Tan, Xiang Zhao, Wei Wang, Weidong Xiao. 7080-7087 [doi]
• Multi-Matching Network for Multiple Choice Reading ComprehensionMin Tang, Jiaran Cai, Hankz Hankui Zhuo. 7088-7095 [doi]
• Generating Live Soccer-Match Commentary from Play DataYasufumi Taniguchi, Yukun Feng, Hiroya Takamura, Manabu Okumura. 7096-7103 [doi]
• Near-Lossless Binarization of Word EmbeddingsJulien Tissier, Christophe Gravier, Amaury Habrard. 7104-7111 [doi]
• CompareLDA: A Topic Model for Document ComparisonMaksim Tkachenko, Hady W. Lauw. 7112-7119 [doi]
• A Natural Language Corpus of Common Grounding under Continuous and Partially-Observable ContextTakuma Udagawa, Akiko Aizawa. 7120-7127 [doi]
• Improving Hypernymy Prediction via Taxonomy Enhanced Adversarial LearningChengyu Wang 0001, Xiaofeng He, Aoying Zhou. 7128-7135 [doi]
• What if We Simply Swap the Two Text Fragments? A Straightforward yet Effective Way to Test the Robustness of Methods to Confounding Signals in Nature Language Inference TasksHaohan Wang, Da Sun, Eric P. Xing. 7136-7143 [doi]
• Template-Based Math Word Problem Solvers with Recursive Neural NetworksLei Wang, Dongxiang Zhang, Jipeng Zhang, Xing Xu, Lianli Gao, Bing Tian Dai, Heng Tao Shen. 7144-7151 [doi]
• Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph EmbeddingPeiFeng Wang, Jialong Han, Chenliang Li, Rong Pan. 7152-7159 [doi]
• Chinese NER with Height-Limited Constituent ParsingRui Wang, Xin Xin 0001, Wei Chang, Kun Ming, Biao Li, Xin Fan. 7160-7167 [doi]
• A Multi-Agent Communication Framework for Question-Worthy Phrase Extraction and Question GenerationSiyuan Wang, Zhongyu Wei, Zhihao Fan, Yang Liu, Xuanjing Huang. 7168-7175 [doi]
• A Task in a Suit and a Tie: Paraphrase Generation with Semantic AugmentationSu Wang, Rahul Gupta, Nancy Chang, Jason Baldridge. 7176-7183 [doi]
• Hierarchical Attention Networks for Sentence OrderingTianming Wang, Xiaojun Wan 0001. 7184-7191 [doi]
• Transferable Interactive Memory Network for Domain Adaptation in Fine-Grained Opinion ExtractionWenya Wang, Sinno Jialin Pan. 7192-7199 [doi]
• Unsupervised Learning Helps Supervised Neural Word SegmentationXiaoBin Wang, Deng Cai, Linlin Li, Guangwei Xu, Hai Zhao, Luo Si. 7200-7207 [doi]
• Improving Natural Language Inference Using External Knowledge in the Science Questions DomainXiaoyan Wang, Pavan Kapanipathi, Ryan Musa, Mo Yu, Kartik Talamadupula, Ibrahim Abdelaziz, Maria Chang, Achille Fokoue, Bassem Makni, Nicholas Mattei, Michael Witbrock. 7208-7215 [doi]
• Words Can Shift: Dynamically Adjusting Word Representations Using Nonverbal BehaviorsYansen Wang, Ying Shen, Zhun Liu, Paul Pu Liang, Amir Zadeh, Louis-Philippe Morency. 7216-7223 [doi]
• A Deep Reinforcement Learning Based Multi-Step Coarse to Fine Question Answering (MSCQA) SystemYu Wang, Hongxia Jin. 7224-7232 [doi]
• When Do Words Matter? Understanding the Impact of Lexical Choice on Audience Perception Using Individual Treatment Effect EstimationZhao Wang, Aron Culotta. 7233-7240 [doi]
• Better Fine-Tuning via Instance Weighting for Text ClassificationZhi Wang, Wei Bi, Yan Wang, Xiaojiang Liu. 7241-7248 [doi]
• A Topic-Aware Reinforced Model for Weakly Supervised Stance DetectionPenghui Wei, Wenji Mao, Guandan Chen. 7249-7256 [doi]
• Translating with Bilingual Topic Knowledge for Neural Machine TranslationXiangpeng Wei, Yue Hu 0002, Luxi Xing, Yipeng Wang, Li Gao. 7257-7264 [doi]
• Reverse-Engineering Satire, or "Paper on Computational Humor Accepted despite Making Serious Advances"Robert West 0001, Eric Horvitz. 7265-7272 [doi]
• Improving Distantly Supervised Relation Extraction with Neural Noise Converter and Conditional Optimal SelectorShanchan Wu, Kai Fan, Qiong Zhang. 7273-7280 [doi]
• Response Generation by Context-Aware Prototype EditingYu Wu 0006, Furu Wei, Shaohan Huang, Yunli Wang, Zhoujun Li, Ming Zhou 0001. 7281-7288 [doi]
• Switch-Based Active Deep Dyna-Q: Efficient Adaptive Planning for Task-Completion Dialogue Policy LearningYuexin Wu, Xiujun Li, Jingjing Liu, Jianfeng Gao, Yiming Yang. 7289-7296 [doi]
• Graph Based Translation Memory for Neural Machine TranslationMengzhou Xia, Guoping Huang, Lemao Liu, Shuming Shi. 7297-7304 [doi]
• Syntax-Aware Neural Semantic Role LabelingQingrong Xia, Zhenghua Li, Min Zhang 0005, Meishan Zhang, Guohong Fu, Rui Wang, Luo Si. 7305-7313 [doi]
• Adaptive Region Embedding for Text ClassificationLiuyu Xiang, Xiaoming Jin, Lan Yi, Guiguang Ding. 7314-7321 [doi]
• Quantifying Uncertainties in Natural Language Processing TasksYijun Xiao, William Yang Wang. 7322-7329 [doi]
• Distributed Representation of Words in Cause and Effect SpacesZhipeng Xie, Feiteng Mu. 7330-7337 [doi]
• Modeling Coherence for Discourse Neural Machine TranslationHao Xiong, Zhongjun He, Hua Wu 0003, Haifeng Wang. 7338-7345 [doi]
• End-to-End Knowledge-Routed Relational Dialogue System for Automatic DiagnosisLin Xu, Qixian Zhou, Ke Gong, Xiaodan Liang, Jianheng Tang, Liang Lin. 7346-7353 [doi]
• A Deep Cascade Model for Multi-Document Reading ComprehensionMing Yan, Jiangnan Xia, Chen Wu, Bin Bi, Zhongzhou Zhao, Ji Zhang, Luo Si, Rui Wang, Wei Wang, Haiqing Chen. 7354-7361 [doi]
• Exploring Human-Like Reading Strategy for Abstractive Text SummarizationMin Yang, Qiang Qu, Wenting Tu, Ying Shen, Zhou Zhao, Xiaojun Chen 0006. 7362-7369 [doi]
• Graph Convolutional Networks for Text ClassificationLiang Yao, Chengsheng Mao, Yuan Luo 0004. 7370-7377 [doi]
• Plan-and-Write: Towards Better Automatic StorytellingLili Yao, Nanyun Peng, Ralph M. Weischedel, Kevin Knight, Dongyan Zhao 0001, Rui Yan. 7378-7385 [doi]
• ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation NetworksMichihiro Yasunaga, Jungo Kasai, Rui Zhang, Alexander R. Fabbri, Irene Li, Dan Friedman, Dragomir R. Radev. 7386-7393 [doi]
• TopicEq: A Joint Topic and Mathematical Equation Model for Scientific TextsMichihiro Yasunaga, John D. Lafferty. 7394-7401 [doi]
• Data Augmentation for Spoken Language Understanding via Joint Variational GenerationKang Min Yoo, Youhyun Shin, Sang-goo Lee. 7402-7409 [doi]
• Combining Axiom Injection and Knowledge Base Completion for Efficient Natural Language InferenceMasashi Yoshikawa, Koji Mineshima, Hiroshi Noji, Daisuke Bekki. 7410-7417 [doi]
• Distant Supervision for Relation Extraction with Linear Attenuation Simulation and Non-IID Relevance EmbeddingChangsen Yuan, Heyan Huang, Chong Feng, Xiao Liu, Xiaochi Wei. 7418-7425 [doi]
• Exploring Answer Stance Detection with Recurrent Conditional AttentionJianHua Yuan, Yanyan Zhao, Jingfang Xu, Bing Qin 0001. 7426-7433 [doi]
• Bidirectional Transition-Based Dependency ParsingYunzhe Yuan, Yong Jiang, Kewei Tu. 7434-7441 [doi]
• DRr-Net: Dynamic Re-Read Network for Sentence Semantic MatchingKun Zhang, Guangyi Lv, Linyuan Wang, Le Wu, Enhong Chen, Fangzhao Wu, Xing Xie 0001. 7442-7449 [doi]
• A Generalized Language Model in Tensor SpaceLipeng Zhang, Peng Zhang, Xindian Ma, Shuqin Gu, Zhan Su, Dawei Song 0001. 7450-7458 [doi]
• Generating Chinese Ci with Designated Metrical StructureRichong Zhang, Xinyu Liu, Xinwei Chen, Zhiyuan Hu, Zhaoqing Xu, Yongyi Mao. 7459-7467 [doi]
• A Neural Network Approach to Verb Phrase Ellipsis ResolutionWei-Nan Zhang, Yue Zhang, Yuanxing Liu, Donglin Di, Ting Liu. 7468-7475 [doi]
• Generating Character Descriptions for Automatic Summarization of FictionWeiwei Zhang, Jackie Chi Kit Cheung, Joel Oren. 7476-7483 [doi]
• Multi-Labeled Relation Extraction with Attentive Capsule NetworkXinsong Zhang, Pengshuai Li, Weijia Jia, Hai Zhao. 7484-7491 [doi]
• An Affect-Rich Neural Conversational Model with Biased Attention and Weighted Cross-Entropy LossPeixiang Zhong, Di Wang 0004, Chunyan Miao. 7492-7500 [doi]
• Plan-Length Bounds: Beyond 1-Way DependencyMohammad Abdulaziz. 7502-7510 [doi]
• Measurement Maximizing Adaptive Sampling with Risk Bounding FunctionsBenjamin J. Ayton, Brian Williams, Richard Camilli. 7511-7519 [doi]
• Bringing Order to Chaos - A Compact Representation of Partial Order in SAT-Based HTN PlanningGregor Behnke, Daniel Höller, Susanne Biundo. 7520-7529 [doi]
• Deep Reactive Policies for Planning in Stochastic Nonlinear DomainsThiago P. Bueno, Leliane N. de Barros, Denis Deratani Mauá, Scott Sanner. 7530-7537 [doi]
• Robustness Envelopes for Temporal PlansMichael Cashmore, Alessandro Cimatti, Daniele Magazzeni, Andrea Micheli, Parisa Zehtabi. 7538-7545 [doi]
• Improving Domain-Independent Planning via Critical Section Macro-OperatorsLukás Chrpa, Mauro Vallati. 7546-7553 [doi]
• Efficient Temporal Planning Using MetastatesAmanda Jane Coles, Andrew Coles, J. Christopher Beck. 7554-7561 [doi]
• Efficiently Reasoning with Interval Constraints in Forward Search PlanningAmanda Jane Coles, Andrew Coles, Moisés Martínez, Emre Savas, Juan Manuel Delfa, Tomás de la Rosa, Yolanda E.-Martín, Angel García Olaya. 7562-7569 [doi]
• Learning Resource Allocation and Pricing for Cloud Profit MaximizationBingqian Du, Chuan Wu, Zhiyi Huang 0002. 7570-7577 [doi]
• Refining Abstraction Heuristics during Real-Time PlanningRebecca Eifler, Maximilian Fickert, Jörg Hoffmann 0001, Wheeler Ruml. 7578-7585 [doi]
• Operator Mutexes and Symmetries for Simplifying Planning TasksDaniel Fiser, Álvaro Torralba, Alexander Shleyfman. 7586-7593 [doi]
• Solving Multiagent Planning Problems with Concurrent Conditional EffectsDaniel Furelos-Blanco, Anders Jonsson. 7594-7601 [doi]
• Learning How to Ground a Plan - Partial Grounding in Classical PlanningDaniel Gnad, Álvaro Torralba, Martín Ariel Domínguez, Carlos Areces, Facundo Bustos. 7602-7609 [doi]
• Generalized Planning via Abstraction: Arbitrary Numbers of ObjectsLeón Illanes, Sheila A. McIlraith. 7610-7618 [doi]
• Red-Black Heuristics for Planning Tasks with Conditional EffectsMichael Katz 0001. 7619-7626 [doi]
• Multi-Agent Path Finding for Large AgentsJiaoyang Li, Pavel Surynek, Ariel Felner, Hang Ma 0001, T. K. Satish Kumar, Sven Koenig. 7627-7634 [doi]
• Moral Permissibility of Action PlansFelix Lindner 0001, Robert Mattmüller, Bernhard Nebel. 7635-7642 [doi]
• Searching with Consistent Prioritization for Multi-Agent Path FindingHang Ma 0001, Daniel Harabor, Peter J. Stuckey, Jiaoyang Li, Sven Koenig. 7643-7650 [doi]
• Lifelong Path Planning with Kinematic Constraints for Multi-Agent Pickup and DeliveryHang Ma 0001, Wolfgang Hönig, T. K. Satish Kumar, Nora Ayanian, Sven Koenig. 7651-7658 [doi]
• Performance Guarantees for Homomorphisms beyond Markov Decision ProcessesSultan Javed Majeed, Marcus Hutter. 7659-7666 [doi]
• Sliding Window Temporal Graph ColoringGeorge B. Mertzios, Hendrik Molter, Viktor Zamaraev. 7667-7674 [doi]
• Temporal Planning with Temporal Metric Trajectory ConstraintsAndrea Micheli, Enrico Scala. 7675-7682 [doi]
• Automated Verification of Social Laws for Continuous Time Multi-Robot SystemsRonen Nir, Erez Karpas. 7683-7690 [doi]
• Acting and Planning Using Operational ModelsSunandita Patra, Malik Ghallab, Dana S. Nau, Paolo Traverso. 7691-7698 [doi]
• Distribution-Based Semi-Supervised Learning for Activity RecognitionHangwei Qian, Sinno Jialin Pan, Chunyan Miao. 7699-7706 [doi]
• An Innovative Genetic Algorithm for the Quantum Circuit Compilation ProblemRiccardo Rasconi, Angelo Oddi. 7707-7714 [doi]
• Deep Learning for Cost-Optimal Planning: Task-Dependent Planner SelectionSilvan Sievers, Michael Katz 0001, Shirin Sohrabi, Horst Samulowitz, Patrick Ferber. 7715-7723 [doi]
• Rotational Diversity in Multi-Cycle Assignment ProblemsHelge Spieker, Arnaud Gotlieb, Morten Mossige. 7724-7731 [doi]
• Online Multi-Agent PathfindingJirí Svancara, Marek Vlk, Roni Stern, Dor Atzmon, Roman Barták. 7732-7739 [doi]
• Active Preference Learning Based on Generalized Gini Functions: Application to the Multiagent Knapsack ProblemNadjet Bourdache, Patrice Perny. 7741-7748 [doi]
• Machine Teaching for Inverse Reinforcement Learning: Algorithms and ApplicationsDaniel S. Brown, Scott Niekum. 7749-7758 [doi]
• Robustness Guarantees for Bayesian Inference with Gaussian ProcessesLuca Cardelli, Marta Kwiatkowska, Luca Laurenti, Andrea Patane. 7759-7768 [doi]
• Probabilistic Logic Programming with Beta-Distributed Random VariablesFederico Cerutti, Lance M. Kaplan, Angelika Kimmig, Murat Sensoy. 7769-7776 [doi]
• On Testing of Uniform SamplersSourav Chakraborty 0006, Kuldeep S. Meel. 7777-7784 [doi]
• On the Hardness of Probabilistic Inference RelaxationsSupratik Chakraborty, Kuldeep S. Meel, Moshe Y. Vardi. 7785-7792 [doi]
• Learning Diverse Bayesian NetworksCong Chen, Changhe Yuan. 7793-7800 [doi]
• Path-Specific Counterfactual FairnessSilvia Chiappa. 7801-7808 [doi]
• Efficient Optimal Approximation of Discrete Random Variables for Estimation of Probabilities of Missing DeadlinesLiat Cohen, Gera Weiss. 7809-7815 [doi]
• Fast Relational Probabilistic Inference and Learning: Approximate Counting via HypergraphsMayukh Das, Devendra Singh Dhami, Gautam Kunapuli, Kristian Kersting, Sriraam Natarajan. 7816-7824 [doi]
• Exact and Approximate Weighted Model Integration with Probability Density Functions Using Knowledge CompilationPedro Zuidberg Dos Martires, Anton Dries, Luc De Raedt. 7825-7833 [doi]
• Marginal Inference in Continuous Markov Random Fields Using MixturesYuanzhen Guo, Hao Xiong, Nicholas Ruozzi. 7834-7841 [doi]
• A Generative Model for Dynamic Networks with ApplicationsShubham Gupta, Gaurav Sharma, Ambedkar Dukkipati. 7842-7849 [doi]
• Collective Online Learning of Gaussian Processes in Massive Multi-Agent SystemsTrong Nghia Hoang, Quang Minh Hoang, Kian Hsiang Low, Jonathan P. How. 7850-7857 [doi]
• MFBO-SSM: Multi-Fidelity Bayesian Optimization for Fast Inference in State-Space ModelsMahdi Imani, Seyede Fatemeh Ghoreishi, Douglas L. Allaire, Ulisses Braga-Neto. 7858-7865 [doi]
• Polynomial-Time Probabilistic Reasoning with Partial Observations via Implicit Learning in Probability LogicsBrendan Juba. 7866-7875 [doi]
• Randomized Strategies for Robust Combinatorial OptimizationYasushi Kawase, Hanna Sumita. 7876-7883 [doi]
• Dirichlet Multinomial Mixture with Variational Manifold Regularization: Topic Modeling over Short TextsXiMing Li, Jiaojiao Zhang, Jihong OuYang. 7884-7891 [doi]
• Finding All Bayesian Network Structures within a Factor of OptimalZhenyu A. Liao, Charupriya Sharma, James Cussens, Peter van Beek. 7892-7899 [doi]
• Interleave Variational Optimization with Monte Carlo Sampling: A Tale of Two Approximate Inference ParadigmsQi Lou, Rina Dechter, Alexander T. Ihler. 7900-7907 [doi]
• Robust Ordinal Embedding from Contaminated Relative ComparisonsKe Ma, Qianqian Xu, Xiaochun Cao. 7908-7915 [doi]
• On Lifted Inference Using Neural EmbeddingsMohammad Maminur Islam, Somdeb Sarkhel, Deepak Venugopal. 7916-7923 [doi]
• Anytime Recursive Best-First Search for Bounding Marginal MAPRadu Marinescu 0002, Akihiro Kishimoto, Adi Botea, Rina Dechter, Alexander T. Ihler. 7924-7932 [doi]
• Semi-Parametric Sampling for Stochastic Bandits with Many ArmsMingdong Ou, Nan Li, Cheng Yang, Shenghuo Zhu, Rong Jin. 7933-7940 [doi]
• Memory Bounded Open-Loop Planning in Large POMDPs Using Thompson SamplingThomy Phan, Lenz Belzner, Marie Kiermeier, Markus Friedrich, Kyrill Schmid, Claudia Linnhoff-Popien. 7941-7948 [doi]
• Rethinking the Discount Factor in Reinforcement Learning: A Decision Theoretic ApproachSilviu Pitis. 7949-7956 [doi]
• Structured Bayesian Networks: From Inference to Learning with RoutesYujia Shen, Anchal Goyanka, Adnan Darwiche, Arthur Choi. 7957-7965 [doi]
• Compiling Bayesian Network Classifiers into Decision GraphsAndy Shih, Arthur Choi, Adnan Darwiche. 7966-7974 [doi]
• Lifted Hinge-Loss Markov Random FieldsSriram Srinivasan, Behrouz Babaki, Golnoosh Farnadi, Lise Getoor. 7975-7983 [doi]
• Counting and Sampling Markov Equivalent Directed Acyclic GraphsTopi Talvitie, Mikko Koivisto. 7984-7991 [doi]
• Optimizing Discount and Reputation Trade-Offs in E-Commerce Systems: Characterization and Online LearningHong Xie 0004, Yongkun Li, John C. S. Lui. 7992-7999 [doi]
• Depth Prediction without the Sensors: Leveraging Structure for Unsupervised Learning from Monocular VideosVincent Casser, Sören Pirk, Reza Mahjourian, Anelia Angelova. 8001-8008 [doi]
• MotionTransformer: Transferring Neural Inertial Tracking between DomainsChanghao Chen, Yishu Miao, Chris Xiaoxuan Lu, Linhai Xie, Phil Blunsom, Andrew Markham, Niki Trigoni. 8009-8016 [doi]
• Adversarial Actor-Critic Method for Task and Motion Planning Problems Using Planning ExperienceBeomjoon Kim, Leslie Pack Kaelbling, Tomás Lozano-Pérez. 8017-8024 [doi]
• Mirroring without Overimitation: Learning Functionally Equivalent Manipulation ActionsHangxin Liu, Chi Zhang, Yixin Zhu, Chenfanfu Jiang, Song Chun Zhu. 8025-8033 [doi]
• Visual Place Recognition via Robust ℓ2-Norm Distance Based Holism and Landmark IntegrationKai Liu, Hua Wang 0007, Fei Han 0002, Hao Zhang 0011. 8034-8041 [doi]
• Deictic Image Mapping: An Abstraction for Learning Pose Invariant Manipulation PoliciesRobert Platt Jr., Colin Kohler, Marcus Gualtieri. 8042-8049 [doi]
• Personalized Robot Tutoring Using the Assistive Tutor POMDP (AT-POMDP)Aditi Ramachandran, Sarah Strohkorb Sebo, Brian Scassellati. 8050-8057 [doi]
• That's Mine! Learning Ownership Relations and Norms for RobotsZhi-Xuan Tan, Jake Brawer, Brian Scassellati. 8058-8065 [doi]
• Probabilistic Model Checking of Robots Deployed in Extreme EnvironmentsXingyu Zhao, Valentin Robu, David Flynn, Fateme Dinmohammadi, Michael Fisher 0001, Matt Webster. 8066-8074 [doi]
• TallyQA: Answering Complex Counting QuestionsManoj Acharya, Kushal Kafle, Christopher Kanan. 8076-8084 [doi]
• Densely Supervised Grasp Detector (DSGD)Umar Asif, Jianbin Tang, Stefan Harrer. 8085-8093 [doi]
• Object Detection Based on Region Decomposition and AssemblySeung Hwan Bae. 8094-8101 [doi]
• BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship DetectionHedi Ben-younes, Rémi Cadène, Nicolas Thome, Matthieu Cord. 8102-8109 [doi]
• MR-NET: Exploiting Mutual Relation for Visual Relationship DetectionYi Bin, Yang Yang 0002, Chaofan Tao, Zi Huang, Jingjing Li, Heng Tao Shen. 8110-8117 [doi]
• Action Knowledge Transfer for Action Prediction with Partial VideosYijun Cai, Haoxin Li, Jianfang Hu, Wei-Shi Zheng. 8118-8125 [doi]
• GaitSet: Regarding Gait as a Set for Cross-View Gait RecognitionHanqing Chao, Yiwei He, Junping Zhang, Jianfeng Feng. 8126-8133 [doi]
• Energy Confused Adversarial Metric Learning for Zero-Shot Image Retrieval and ClusteringBinghui Chen, Weihong Deng. 8134-8141 [doi]
• Improving Image Captioning with Conditional Generative Adversarial NetsChen Chen, Shuai Mu, Wanpeng Xiao, Zexiong Ye, Liesi Wu, Qi Ju. 8142-8150 [doi]
• Unsupervised Stylish Image Description Generation via Domain Layer NormCheng-Kuan Chen, Zhu Feng Pan, Ming-Yu Liu 0001, Min Sun. 8151-8158 [doi]
• Unsupervised Meta-Learning of Figure-Ground Segmentation via Imitating Visual EffectsDing-Jie Chen, Jui-Ting Chien, Hwann-Tzong Chen, Tyng-Luh Liu. 8159-8166 [doi]
• Temporal Deformable Convolutional Encoder-Decoder Networks for Video CaptioningJingwen Chen, Yingwei Pan, Yehao Li, Ting Yao, Hongyang Chao, Tao Mei. 8167-8174 [doi]
• Localizing Natural Language in VideosJingyuan Chen, Lin Ma 0002, Xinpeng Chen, Zequn Jie, Jiebo Luo. 8175-8182 [doi]
• Similarity Preserving Deep Asymmetric Quantization for Image RetrievalJunjie Chen 0006, William K. Cheung. 8183-8190 [doi]
• Motion Guided Spatial Attention for Video CaptioningShaoxiang Chen, Yu-Gang Jiang. 8191-8198 [doi]
• Semantic Proposal for Activity Localization in Videos via Sentence QueryShaoxiang Chen, Yu-Gang Jiang. 8199-8206 [doi]
• Unsupervised Bilingual Lexicon Induction from Mono-Lingual Multimodal DataShizhe Chen, Qin Jin, Alexander G. Hauptmann. 8207-8214 [doi]
• Learning Resolution-Invariant Deep Representations for Person Re-IdentificationYun-Chun Chen, Yu-Jhe Li, Xiaofei Du, Yu-Chiang Frank Wang. 8215-8222 [doi]
• Data Fine-TuningSaheb Chhabra, Puspita Majumdar, Mayank Vatsa, Richa Singh 0001. 8223-8230 [doi]
• Selective Refinement Network for High Performance Face DetectionCheng Chi, Shifeng Zhang, Junliang Xing, Zhen Lei, Stan Z. Li, Xudong Zou. 8231-8238 [doi]
• Residual Compensation Networks for Heterogeneous Face RecognitionZhongying Deng, Xiaojiang Peng, Yu Qiao 0001. 8239-8246 [doi]
• Attention-Aware Sampling via Deep Reinforcement Learning for Action RecognitionWenkai Dong, Zhaoxiang Zhang, Tieniu Tan. 8247-8254 [doi]
• Learning a Deep Convolutional Network for Colorization in Monochrome-Color Dual-Lens SystemXuan Dong 0001, Weixin Li, Xiaojie Wang, Yunhong Wang. 8255-8262 [doi]
• Cubic LSTMs for Video PredictionHehe Fan, Linchao Zhu, Yi Yang. 8263-8270 [doi]
• Fully Convolutional Video Captioning with Coarse-to-Fine and Inherited AttentionKuncheng Fang, Lian Zhou, Cheng Jin, Yuejie Zhang, Kangnian Weng, Tao Zhang, Weiguo Fan. 8271-8278 [doi]
• MeshNet: Mesh Neural Network for 3D Shape RepresentationYutong Feng, Yifan Feng, Haoxuan You, Xibin Zhao, Yue Gao. 8279-8286 [doi]
• STA: Spatial-Temporal Attention for Large-Scale Video-Based Person Re-IdentificationYang Fu, Xiaoyang Wang, Yunchao Wei, Thomas Huang. 8287-8294 [doi]
• Horizontal Pyramid Matching for Person Re-IdentificationYang Fu, Yunchao Wei, YuQian Zhou, Honghui Shi, Gao Huang, Xinchao Wang, Zhiqiang Yao, Thomas Huang. 8295-8302 [doi]
• I Know the Relationships: Zero-Shot Action Recognition via Two-Stream Graph Convolutional Networks and Knowledge GraphsJunyu Gao, Tianzhu Zhang, Changsheng Xu. 8303-8311 [doi]
• Perceptual Pyramid Adversarial Networks for Text-to-Image SynthesisLianli Gao, Daiyuan Chen, Jingkuan Song, Xing Xu, Dongxiang Zhang, Heng Tao Shen. 8312-8319 [doi]
• Deliberate Attention Networks for Image CaptioningLianli Gao, Kaixuan Fan, Jingkuan Song, Xianglong Liu, Xing Xu, Heng Tao Shen. 8320-8327 [doi]
• Video Imprint Segmentation for Temporal Action Detection in Untrimmed VideosZhanning Gao, Le Wang 0003, Qilin Zhang, Zhenxing Niu, Nanning Zheng, Gang Hua 0001. 8328-8335 [doi]
• No-Reference Image Quality Assessment with Reinforcement Recursive List-Wise RankingJie Gu, Gaofeng Meng, Cheng Da, Shiming Xiang, Chunhong Pan. 8336-8343 [doi]
• Projection Convolutional Neural Networks for 1-bit CNNs via Discrete Back PropagationJiaxin Gu, Ce Li, Baochang Zhang, Jungong Han, Xianbin Cao 0001, Jianzhuang Liu, David S. Doermann. 8344-8351 [doi]
• Human Action Transfer Based on 3D Model ReconstructionShanyan Guan, Shuo Wen, Dexin Yang, Bingbing Ni, Wendong Zhang, Jun Tang, Xiaokang Yang. 8352-8359 [doi]
• Dual-View Ranking with Hardness Assessment for Zero-Shot LearningYuchen Guo, Guiguang Ding, Jungong Han, Xiaohan Ding, Sicheng Zhao, Zheng Wang, Chenggang Yan, Qionghai Dai. 8360-8367 [doi]
• Depthwise Convolution Is All You Need for Learning Multiple Visual DomainsYunhui Guo, Yandong Li, Liqiang Wang, Tajana Rosing. 8368-8375 [doi]
• View Inter-Prediction GAN: Unsupervised Representation Learning for 3D Shapes by Learning Global Shape Memories to Support Local View PredictionsZhizhong Han, Mingyang Shang, Yu-Shen Liu, Matthias Zwicker. 8376-8384 [doi]
• HSME: Hypersphere Manifold Embedding for Visible Thermal Person Re-IdentificationYi Hao, Nannan Wang, Jie Li, Xinbo Gao. 8385-8392 [doi]
• Read, Watch, and Move: Reinforcement Learning for Temporally Grounding Natural Language Descriptions in VideosDongliang He, Xiang Zhao, Jizhou Huang, Fu Li, Xiao Liu, Shilei Wen. 8393-8400 [doi]
• StNet: Local and Global Spatial-Temporal Modeling for Action RecognitionDongliang He, Zhichao Zhou, Chuang Gan, Fu Li, Xiao Liu, Yandong Li, Limin Wang, Shilei Wen. 8401-8408 [doi]
• Mono3D++: Monocular 3D Vehicle Detection with Two-Scale 3D Hypotheses and Task PriorsTong He, Stefano Soatto. 8409-8416 [doi]
• Non-Local Context Encoder: Robust Biomedical Image Segmentation against Adversarial AttacksXiang He, Sibei Yang, Guanbin Li, Haofeng Li, HuiYou Chang, Yizhou Yu. 8417-8424 [doi]
• Weighted Channel Dropout for Regularization of Deep Convolutional Neural NetworkSaihui Hou, Zilei Wang. 8425-8432 [doi]
• Learning to Steer by Mimicking Features from Heterogeneous Auxiliary NetworksYuenan Hou, Zheng Ma, Chunxiao Liu, Chen Change Loy. 8433-8440 [doi]
• Attention-Based Multi-Context Guiding for Few-Shot Semantic SegmentationTao Hu, Pengwan Yang, Chiliang Zhang, Gang Yu, Yadong Mu, Cees G. M. Snoek. 8441-8448 [doi]
• A Novel Framework for Robustness Analysis of Visual QA ModelsJia-Hong Huang, Cuong Duc Dao, Modar Alfadly, Bernard Ghanem. 8449-8456 [doi]
• 2EMA: Regularized and Reinitialized Exponential Moving Average for Target Model Update in Object TrackingJianglei Huang, Wengang Zhou. 8457-8464 [doi]
• Hierarchically Structured Reinforcement Learning for Topically Coherent Visual Story GenerationQiuyuan Huang, Zhe Gan, Asli Çelikyilmaz, Dapeng Oliver Wu, Jianfeng Wang, Xiaodong He 0001. 8465-8472 [doi]
• A Framework to Coordinate Segmentation and RecognitionWei Huang, Huimin Yu, Weiwei Zheng, Jing Zhang. 8473-8480 [doi]
• 3D Volumetric Modeling with Introspective Neural NetworksWenlong Huang, Brian Lai, Weijian Xu, Zhuowen Tu. 8481-8488 [doi]
• Few-Shot Image and Sentence Matching via Gated Visual-Semantic EmbeddingYan Huang, Yang Long, Liang Wang. 8489-8496 [doi]
• Attentive Temporal Pyramid Network for Dynamic Scene ClassificationYuanjun Huang, Xianbin Cao 0001, Xiantong Zhen, Jungong Han. 8497-8504 [doi]
• DeepCCFV: Camera Constraint-Free Multi-View Convolutional Neural Network for 3D Object RetrievalZhengyue Huang, Zhehui Zhao, Hengguang Zhou, Xibin Zhao, Yue Gao. 8505-8512 [doi]
• MLVCNN: Multi-Loop-View Convolutional Neural Network for 3D Shape RetrievalJianwen Jiang, Di Bao, Ziqiang Chen, Xibin Zhao, Yue Gao. 8513-8520 [doi]
• Image Saliency Prediction in Transformed Domain: A Deep Complex Neural Network MethodLai Jiang, Zhe Wang, Mai Xu, Zulin Wang. 8521-8528 [doi]
• Video Object Detection with Locally-Weighted Deformable NeighborsZhengkai Jiang, Peng Gao, Chaoxu Guo, Qian Zhang, Shiming Xiang, Chunhong Pan. 8529-8536 [doi]
• Discriminative Feature Learning for Unsupervised Video SummarizationYunjae Jung, Donghyeon Cho, Dahun Kim, Sanghyun Woo, In-So Kweon. 8537-8544 [doi]
• Self-Supervised Video Representation Learning with Space-Time Cubic PuzzlesDahun Kim, Donghyeon Cho, In-So Kweon. 8545-8552 [doi]
• BiHMP-GAN: Bidirectional 3D Human Motion Prediction GANJogendra Nath Kundu, Maharshi Gor, R. Venkatesh Babu. 8553-8560 [doi]
• Spatio-Temporal Graph Routing for Skeleton-Based Action RecognitionBin Li, Xi Li, Zhongfei Zhang, Fei Wu. 8561-8568 [doi]
• SuperVAE: Superpixelwise Variational Autoencoder for Salient Object DetectionBo Li, Zhengxing Sun, Yuqi Guo. 8569-8576 [doi]
• Gradient Harmonized Single-Stage DetectorBuyu Li, Yu Liu 0015, Xiaogang Wang. 8577-8584 [doi]
• Skeleton-Based Gesture Recognition Using Several Fully Connected Layers with Path Signature Features and Temporal Transformer ModuleChenyang Li, Xin Zhang, Lufan Liao, Lianwen Jin, Weixin Yang. 8585-8593 [doi]
• Semantic Relationships Guided Representation Learning for Facial Action Unit RecognitionGuanbin Li, Xin Zhu, Yirui Zeng, Qing Wang, Liang Lin. 8594-8601 [doi]
• Heterogeneous Transfer Learning via Deep Matrix Completion with Adversarial Kernel EmbeddingHaoliang Li, Sinno Jialin Pan, Renjie Wan, Alex C. Kot. 8602-8609 [doi]
• Show, Attend and Read: A Simple and Strong Baseline for Irregular Text RecognitionHui Li 0031, Peng Wang 0015, Chunhua Shen, Guyu Zhang. 8610-8617 [doi]
• Multi-Scale 3D Convolution Network for Video Based Person Re-IdentificationJianing Li, Shiliang Zhang, Tiejun Huang. 8618-8625 [doi]
• Meta Learning for Image CaptioningNannan Li, Zhenzhong Chen, Shan Liu. 8626-8633 [doi]
• Visual-Semantic Graph Reasoning for Pedestrian Attribute RecognitionQiaozhe Li, Xin Zhao, Ran He, Kaiqi Huang. 8634-8641 [doi]
• Distribution Consistency Based Covariance Metric Networks for Few-Shot LearningWenbin Li, Jinglin Xu, Jing Huo, Lei Wang, Yang Gao, Jiebo Luo. 8642-8649 [doi]
• Learning Object Context for Dense CaptioningXiangyang Li 0002, Shuqiang Jiang, Jungong Han. 8650-8657 [doi]
• Beyond RNNs: Positional Self-Attention with Co-Attention for Video Question AnsweringXiangPeng Li, Jingkuan Song, Lianli Gao, Xianglong Liu, Wenbing Huang, Xiangnan He 0001, Chuang Gan. 8658-8665 [doi]
• Robust Estimation of Similarity Transformation for Visual Object TrackingYang Li, Jianke Zhu, Steven C. H. Hoi, Wenjie Song, Zhefeng Wang, Hantang Liu. 8666-8673 [doi]
• Temporal Bilinear Networks for Video Action RecognitionYanghao Li, Sijie Song, Yuqi Li, Jiaying Liu 0001. 8674-8681 [doi]
• Angular Triplet-Center Loss for Multi-View 3D Shape RetrievalZhaoqun Li, Cheng Xu, Biao Leng. 8682-8689 [doi]
• Zero-Shot Object Detection with Textual DescriptionsZhihui Li, Lina Yao, Xiaoqin Zhang, Xianzhi Wang 0001, Salil Kanhere, Huaxiang Zhang. 8690-8697 [doi]
• PCGAN: Partition-Controlled Human Image GenerationDong Liang, Rui Wang, Xiaowei Tian, Cong Zou. 8698-8705 [doi]
• Unsupervised Cross-Spectral Stereo Matching by Learning to SynthesizeMingyang Liang, Xiaoyang Guo, Hongsheng Li, Xiaogang Wang, You Song. 8706-8713 [doi]
• Scene Text Recognition from Two-Dimensional PerspectiveMinghui Liao, Jian Zhang, Zhaoyi Wan, Fengming Xie, Jiajun Liang, Pengyuan Lyu, Cong Yao, Xiang Bai. 8714-8721 [doi]
• Towards Optimal Discrete Online Hashing with Balanced SimilarityMingbao Lin, Rongrong Ji, Hong Liu, Xiaoshuai Sun, Yongjian Wu, Yunsheng Wu. 8722-8729 [doi]
• Hypergraph Optimization for Multi-Structural Geometric Model FittingShuyuan Lin, Guobao Xiao, Yan Yan 0001, David Suter, Hanzi Wang. 8730-8737 [doi]
• A Bottom-Up Clustering Approach to Unsupervised Person Re-IdentificationYutian Lin, Xuanyi Dong, Liang Zheng 0001, Yan Yan 0002, Yi Yang 0001. 8738-8745 [doi]
• Learning Neural Bag-of-Matrix-Summarization with Riemannian NetworkHong Liu, Jie Li, Yongjian Wu, Rongrong Ji. 8746-8753 [doi]
• Optimal Projection Guided Transfer Hashing for Image RetrievalJi Liu, Lei Zhang. 8754-8761 [doi]
• Joint Dynamic Pose Image and Space Time Reversal for Human Action Recognition from VideosMengyuan Liu, Fanyang Meng, Chen Chen 0001, Songtao Wu. 8762-8769 [doi]
• DDFlow: Learning Optical Flow with Unlabeled Data DistillationPengpeng Liu, Irwin King, Michael R. Lyu, Jia Xu. 8770-8777 [doi]
• Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-Based Sequence to Sequence NetworkXinhai Liu, Zhizhong Han, Yu-Shen Liu, Matthias Zwicker. 8778-8785 [doi]
• Spatial and Temporal Mutual Promotion for Video-Based Person Re-IdentificationYiheng Liu, Zhenxun Yuan, Wengang Zhou, Houqiang Li. 8786-8793 [doi]
• Deep Video Frame Interpolation Using Cyclic Frame GenerationYu-Lun Liu, Yi-Tung Liao, Yen-Yu Lin, Yung-Yu Chuang. 8794-8802 [doi]
• Detect or Track: Towards Cost-Effective Video Object Detection/TrackingHao Luo, Wenxuan Xie, Xinggang Wang, Wenjun Zeng. 8803-8810 [doi]
• Recognizing Unseen Attribute-Object Pair with Generative ModelZhixiong Nan, Yang Liu, Nanning Zheng, Song Chun Zhu. 8811-8818 [doi]
• CAPNet: Continuous Approximation Projection for 3D Point Cloud Reconstruction Using 2D SupervisionNavaneet K. L., Priyanka Mandikal, Mayank Agarwal, R. Venkatesh Babu. 8819-8826 [doi]
• Dual Semi-Supervised Learning for Facial Action Unit RecognitionGuozhu Peng, Shangfei Wang. 8827-8834 [doi]
• Learning Attribute-Specific Representations for Visual TrackingYuankai Qi, Shengping Zhang, Weigang Zhang, Li Su, Qingming Huang, Ming-Hsuan Yang 0001. 8835-8842 [doi]
• Weakly Supervised Scene Parsing with Point-Based Distance Metric LearningRui Qian, Yunchao Wei, Honghui Shi, Jiachen Li, Jiaying Liu 0001, Thomas S. Huang. 8843-8850 [doi]
• MonoGRNet: A Geometric Reasoning Network for Monocular 3D Object LocalizationZengyi Qin, Jinglu Wang, Yan Lu. 8851-8858 [doi]
• Backbone Cannot Be Trained at Once: Rolling Back to Pre-Trained Network for Person Re-IdentificationYoungmin Ro, Jongwon Choi, Dae Ung Jo, Byeongho Heo, Jongin Lim, Jin Young Choi 0002. 8859-8867 [doi]
• Almost Unsupervised Learning for Dense Crowd CountingDeepak Babu Sam, Neeraj N. Sajjan, Himanshu Maurya, R. Venkatesh Babu. 8868-8875 [doi]
• KVQA: Knowledge-Aware Visual Question AnsweringSanket Shah, Anand Mishra, Naganand Yadati, Partha Pratim Talukdar. 8876-8884 [doi]
• Connecting Language to Images: A Progressive Attention-Guided Network for Simultaneous Image Captioning and Language GroundingLingyun Song, Jun Liu 0002, Buyue Qian, Yihe Chen. 8885-8892 [doi]
• Towards Highly Accurate and Stable Face Alignment for High-Resolution VideosYing Tai, Yicong Liang, Xiaoming Liu, Lei Duan, Jilin Li, Chengjie Wang, Feiyue Huang, Yu Chen. 8893-8900 [doi]
• A Layer-Based Sequential Framework for Scene Generation with GANsMehmet Ozgur Turkoglu, William Thong, Luuk J. Spreeuwers, Berkay Kicanaoglu. 8901-8908 [doi]
• Hierarchical Photo-Scene Encoder for Album StorytellingBairui Wang, Lin Ma 0002, Wei Zhang 0066, Wenhao Jiang, Feng Zhang. 8909-8916 [doi]
• Robust Deep Co-Saliency Detection with Group SemanticChong Wang, Zheng-Jun Zha, Dong Liu, Hongtao Xie. 8917-8924 [doi]
• Learning Basis Representation to Refine 3D Human Pose EstimationsChunyu Wang, Haibo Qiu, Alan L. Yuille, Wenjun Zeng. 8925-8932 [doi]
• Spatial-Temporal Person Re-IdentificationGuangcong Wang, Jianhuang Lai, Peigen Huang, Xiaohua Xie. 8933-8940 [doi]
• Deep Single-View 3D Object Reconstruction with Visual Hull EmbeddingHanqing Wang, Jiaolong Yang, Wei Liang, Xin Tong. 8941-8948 [doi]
• MVPNet: Multi-View Point Regression Networks for 3D Object Reconstruction from A Single ImageJinglu Wang, Bo Sun, Yan Lu. 8949-8956 [doi]
• Hierarchical Attention Network for Image CaptioningWeixuan Wang, Zhihong Chen, Haifeng Hu 0001. 8957-8964 [doi]
• Learning to Compose Topic-Aware Mixture of Experts for Zero-Shot Video CaptioningXin Wang, Jiawei Wu, Da Zhang, Yu Su 0001, William Yang Wang. 8965-8972 [doi]
• Sparse Adversarial Perturbations for VideosXingxing Wei, Jun Zhu, Sha Yuan, Hang Su. 8973-8980 [doi]
• Learning Non-Uniform Hypergraph for Multi-Object TrackingLongyin Wen, Dawei Du, Shengkun Li, Xiao Bian, Siwei Lyu. 8981-8988 [doi]
• Graph CNNs with Motif and Variable Temporal Block for Skeleton-Based Action RecognitionYu-Hui Wen, Lin Gao 0004, Hongbo Fu, Fang-Lue Zhang, Shihong Xia. 8989-8996 [doi]
• Differential Networks for Visual Question AnsweringChenfei Wu, Jinlai Liu, Xiaojie Wang, Ruifan Li. 8997-9004 [doi]
• Disentangled Variational Representation for Heterogeneous Face RecognitionXiang Wu 0001, Huaibo Huang, Vishal M. Patel, Ran He, Zhenan Sun. 9005-9012 [doi]
• Multiple Saliency and Channel Sensitivity Network for Aggregated Convolutional FeatureXuanlu Xiang, Zhipeng Wang, Zhicheng Zhao, Fei Su. 9013-9020 [doi]
• What and Where the Themes Dominate in ImageXinyu Xiao, Lingfeng Wang, Shiming Xiang, Chunhong Pan. 9021-9029 [doi]
• Semantic Adversarial Network with Multi-Scale Pyramid Attention for Video ClassificationDe Xie, Cheng Deng, Hao Wang, Chao Li, Dapeng Tao. 9030-9037 [doi]
• Scene Text Detection with Supervised Pyramid Context NetworkEnze Xie, Yuhang Zang, Shuai Shao, Gang Yu, Cong Yao, Guangyao Li. 9038-9045 [doi]
• DeRPN: Taking a Further Step toward More General Object DetectionLele Xie, Yuliang Liu, Lianwen Jin, Zecheng Xie. 9046-9053 [doi]
• Residual Attribute Attention Network for Face Image Super-ResolutionJingwei Xin, Nannan Wang, Xinbo Gao, Jie Li. 9054-9061 [doi]
• Multilevel Language and Vision Integration for Text-to-Clip RetrievalHuijuan Xu, Kun He 0003, Bryan A. Plummer, Leonid Sigal, Stan Sclaroff, Kate Saenko. 9062-9069 [doi]
• Segregated Temporal Assembly Recurrent Networks for Weakly Supervised Multiple Action DetectionYunlu Xu, Chengwei Zhang, Zhanzhan Cheng, Jianwen Xie, Yi Niu, Shiliang Pu, Fei Wu. 9070-9078 [doi]
• A Dual Attention Network with Semantic Embedding for Few-Shot LearningShipeng Yan, Songyang Zhang, Xuming He. 9079-9086 [doi]
• Efficient Image Retrieval via Decoupling Diffusion into Online and Offline ProcessingFan Yang, Ryota Hinami, Yusuke Matsui, Steven Ly, Shin'ichi Satoh. 9087-9094 [doi]
• Learning a Visual Tracker from a Single Movie without AnnotationLingxiao Yang, David Zhang, Lei Zhang 0006. 9095-9102 [doi]
• Safeguarded Dynamic Label Regression for Noisy SupervisionJiangchao Yao, Hao Wu, Ya Zhang 0002, Ivor W. Tsang, Jun Sun 0005. 9103-9110 [doi]
• Instance-Level Facial Attributes Transfer with Geometry-Aware FlowWeidong Yin, Ziwei Liu 0002, Chen Change Loy. 9111-9118 [doi]
• PVRNet: Point-View Relation Neural Network for 3D Shape RecognitionHaoxuan You, Yifan Feng, Xibin Zhao, Changqing Zou, Rongrong Ji, Yue Gao. 9119-9126 [doi]
• ActivityNet-QA: A Dataset for Understanding Complex Web Videos via Question AnsweringZhou Yu, Dejing Xu, Jun Yu, Ting Yu, Zhou Zhao, Yueting Zhuang, Dacheng Tao. 9127-9134 [doi]
• Spatial Mixture Models with Learnable Deep Priors for Perceptual GroupingJinyang Yuan, Bin Li, Xiangyang Xue. 9135-9142 [doi]
• Cycle-SUM: Cycle-Consistent Adversarial LSTM Networks for Unsupervised Video SummarizationLi Yuan, Francis E. H. Tay, Ping Li 0006, Li Zhou, Jiashi Feng. 9143-9150 [doi]
• Tensor Ring Decomposition with Rank Minimization on Latent Space: An Efficient Approach for Tensor CompletionLonghao Yuan, Chao Li, Danilo P. Mandic, Jianting Cao, Qibin Zhao. 9151-9158 [doi]
• To Find Where You Talk: Temporal Sentence Localization in Video with Attention Based Location RegressionYitian Yuan, Tao Mei, Wenwu Zhu 0001. 9159-9166 [doi]
• Memory-Augmented Temporal Dynamic Learning for Action RecognitionYuan Yuan 0001, Dong Wang 0028, Qi Wang 0009. 9167-9175 [doi]
• ACM: Adaptive Cross-Modal Graph Convolutional Neural Networks for RGB-D Scene RecognitionYuan Yuan 0001, Zhitong Xiong, Qi Wang 0009. 9176-9184 [doi]
• Large-Scale Visual Relationship UnderstandingJi Zhang, Yannis Kalantidis, Marcus Rohrbach, Manohar Paluri, Ahmed Elgammal, Mohamed Elhoseiny. 9185-9194 [doi]
• Multi-Attribute Transfer via Disentangled RepresentationJianfu Zhang, Yuanyuan Huang, Yaoyi Li, Weijie Zhao, Liqing Zhang 0001. 9195-9202 [doi]
• Cousin Network Guided Sketch Recognition via Latent Attribute WarehouseKaihao Zhang, Wenhan Luo, Lin Ma 0002, Hongdong Li. 9203-9210 [doi]
• Understanding Pictograph with Facial Features: End-to-End Sentence-Level Lip Reading of ChineseXiaobing Zhang, Haigang Gong, Xili Dai, Fan Yang, Nianbo Liu, Ming Liu 0002. 9211-9218 [doi]
• Learning to Localize Objects with Noisy Labeled InstancesXiaopeng Zhang 0008, Yang Yang 0002, Jiashi Feng. 9219-9226 [doi]
• Learning Transferable Self-Attentive Representations for Action Recognition in Untrimmed Videos with Weak SupervisionXiao-Yu Zhang, Haichao Shi, Changsheng Li, Kai Zheng, Xiaobin Zhu, Lixin Duan. 9227-9234 [doi]
• Learning a Key-Value Memory Co-Attention Matching Network for Person Re-IdentificationYaqing Zhang, Xi Li, Zhongfei Zhang. 9235-9242 [doi]
• Learning Incremental Triplet Margin for Person Re-IdentificationYingying Zhang, Qiaoyong Zhong, Liang Ma, Di Xie, Shiliang Pu. 9243-9250 [doi]
• Look across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face RecognitionJian Zhao 0006, Yu Cheng, Yi Cheng, Yang Yang 0002, Fang Zhao 0006, Jianshu Li, Hengzhu Liu, Shuicheng Yan, Jiashi Feng. 9251-9258 [doi]
• M2Det: A Single-Shot Object Detector Based on Multi-Level Feature Pyramid NetworkQijie Zhao, Tao Sheng, Yongtao Wang, Zhi Tang, Ying Chen, Ling Cai, Haibin Ling. 9259-9266 [doi]
• 3D Object Detection Using Scale Invariant and Feature Reweighting NetworksXin Zhao, Zhe Liu, Ruolan Hu, Kaiqi Huang. 9267-9274 [doi]
• Recurrent Attention Model for Pedestrian Attribute RecognitionXin Zhao, Liufang Sang, Guiguang Ding, Jungong Han, Na Di, Chenggang Yan. 9275-9282 [doi]
• Learning Fully Dense Neural Networks for Image Semantic SegmentationMingmin Zhen, Jinglu Wang, Lei Zhou, Tian Fang, Long Quan. 9283-9290 [doi]
• Towards Optimal Fine Grained Retrieval via Decorrelated Centralized Loss with Normalize-Scale LayerXiawu Zheng, Rongrong Ji, Xiaoshuai Sun, Baochang Zhang, Yongjian Wu, Feiyue Huang. 9291-9298 [doi]
• Talking Face Generation by Adversarially Disentangled Audio-Visual RepresentationHang Zhou, Yu Liu 0015, Ziwei Liu 0002, Ping Luo 0002, Xiaogang Wang. 9299-9306 [doi]
• A Robust and Efficient Algorithm for the PnL Problem Using Algebraic Distance to Approximate the Reprojection DistanceLipu Zhou, Yi Yang, Montiel Abello, Michael Kaess. 9307-9315 [doi]
• Free VQA Models from Knowledge Inertia by Pairwise Inconformity LearningYiyi Zhou, Rongrong Ji, Jinsong Su, Xiangming Li, Xiaoshuai Sun. 9316-9323 [doi]
• Dynamic Capsule Attention for Visual Question AnsweringYiyi Zhou, Rongrong Ji, Jinsong Su, Xiaoshuai Sun, Weiqiu Chen. 9324-9331 [doi]
• Singe Image Rain Removal with Unpaired Information: A Differentiable Programming PerspectiveHongyuan Zhu, Xi Peng 0001, Joey Tianyi Zhou, Songfan Yang, Vijay Chanderasekh, Liyuan Li, Joo-Hwee Lim. 9332-9339 [doi]
• Deep Embedding Features for Salient Object DetectionYun-Zhi Zhuge, Yu Zeng, Huchuan Lu. 9340-9347 [doi]
• Calibrated Stochastic Gradient Descent for Convolutional Neural NetworksLi'an Zhuo, Baochang Zhang, Chen Chen 0001, Qixiang Ye, Jianzhuang Liu, David S. Doermann. 9348-9355 [doi]
• A Genetic Algorithm for Finding a Small and Diverse Set of Recent News Stories on a Given Subject: How We Generate AAAI's AI-AlertJoshua Eckroth, Eric Schoen. 9357-9364 [doi]
• Large Scale Personalized Categorization of Financial TransactionsChristopher Lesner, Alexander Ran, Marko Rukonic, Wei Wang. 9365-9372 [doi]
• Transforming Underwriting in the Life Insurance IndustryMarc Maier, Hayley Carlotto, Freddie Sanchez, Sherriff Balogun, Sears Merritt. 9373-9380 [doi]
• Automated Dispatch of Helpdesk Email Tickets: Pushing the Limits with AIAtri Mandal, Nikhil Malhotra, Shivali Agarwal, Anupama Ray, Giriprasad Sridhara. 9381-9388 [doi]
• Grading Uncompilable ProgramsRohit Takhar, Varun Aggarwal. 9389-9396 [doi]
• Remote Management of Boundary Protection Devices with Information RestrictionsAaron Adler, Peter Samouelian, Michael Atighetchi, Yat Fu. 9398-9403 [doi]
• Linking Educational Resources on Data ScienceJosé Luis Ambite, Jonathan Gordon 0001, Lily Fierro, Gully Burns, Joel Mathew. 9404-9409 [doi]
• Early-Stopping of Scattering Pattern Observation with Bayesian ModelingAkinori Asahara, Hidekazu Morita, Chiharu Mitsumata, Kanta Ono, Masao Yano, Tetsuya Shoji. 9410-9415 [doi]
• Querying NoSQL with Deep Learning to Answer Natural Language QuestionsSebastian Blank, Florian Wilhelm, Hans-Peter Zorn, Achim Rettinger. 9416-9421 [doi]
• Probabilistic-Logic Bots for Efficient Evaluation of Business Rules Using Conversational InterfacesJoseph Bockhorst, Devin Conathan, Glenn M. Fung. 9422-9427 [doi]
• Anomaly Detection Using Autoencoders in High Performance Computing SystemsAndrea Borghesi, Andrea Bartolini, Michele Lombardi 0001, Michela Milano, Luca Benini. 9428-9433 [doi]
• A Fast Machine Learning Workflow for Rapid Phenotype Prediction from Whole Shotgun MetagenomesAnna Paola Carrieri, Will P. M. Rowe, Martyn D. Winn, Edward O. Pyzer-Knapp. 9434-9439 [doi]
• Expert Guided Rule Based Prioritization of Scientifically Relevant Images for Downlinking over Limited Bandwidth from Planetary OrbitersSrija Chakraborty, Subhasish Das, Ayan Banerjee, Sandeep K. S. Gupta, Philip R. Christensen. 9440-9445 [doi]
• DeBGUer: A Tool for Bug Prediction and DiagnosisAmir Elmishali, Roni Stern, Meir Kalech. 9446-9451 [doi]
• Satellite Detection of Moving Vessels in Marine EnvironmentsNatalie Fridman, Doron Amir, Yinon Douchan, Noa Agmon. 9452-9459 [doi]
• Automatic Generation of Chinese Short Product Titles for Mobile DisplayYu Gong, Xusheng Luo, Kenny Q. Zhu, Wenwu Ou, Zhao Li, Lu Duan. 9460-9465 [doi]
• Logistic Regression on Homomorphic Encrypted Data at ScaleKyoohyung Han, Seungwan Hong, Jung Hee Cheon, Daejun Park 0001. 9466-9471 [doi]
• A Machine Learning Suite for Machine Components' Health-MonitoringRamin M. Hasani, Guodong Wang, Radu Grosu. 9472-9477 [doi]
• Leveraging Textual Specifications for Grammar-Based Fuzzing of Network ProtocolsSamuel Jero, Maria Leonor Pacheco, Dan Goldwasser, Cristina Nita-Rotaru. 9478-9483 [doi]
• Novelty Detection for Multispectral Images with Application to Planetary ExplorationHannah R. Kerner, Danika F. Wellington, Kiri L. Wagstaff, James F. Bell, Chiman Kwan, Heni Ben Amor. 9484-9491 [doi]
• Robust Multi-Object Detection Based on Data Augmentation with Realistic Image Synthesis for Point-of-Sale AutomationSaiprasad Koturwar, Soma Shiraishi, Kota Iwamoto. 9492-9497 [doi]
• VPDS: An AI-Based Automated Vehicle Occupancy and Violation Detection SystemAbhinav Kumar, Aishwarya Gupta, Bishal Santra, K. S. Lalitha, Manasa Kolla, Mayank Gupta, Rishabh Singh. 9498-9503 [doi]
• Profiles, Proxies, and Assumptions: Decentralized, Communications-Resilient Planning, Allocation, and SchedulingUgur Kuter, Brian Kettler, Katherine Guo, Martin O. Hofmann, Valerie Champagne, Kurt Lachevet, Jennifer Lautenschlager, Robert P. Goldman, Luis Asencios, Josh Hamell. 9504-9509 [doi]
• Feature Isolation for Hypothesis Testing in Retinal Imaging: An Ischemic Stroke Prediction Case StudyGilbert Lim, Zhan Wei Lim, Dejiang Xu, Daniel Shu Wei Ting, Tien Yin Wong, Mong-Li Lee, Wynne Hsu. 9510-9515 [doi]
• Building Trust in Deep Learning System towards Automated Disease DetectionZhan Wei Lim, Mong-Li Lee, Wynne Hsu, Tien Yin Wong. 9516-9521 [doi]
• Ensemble Machine Learning for Estimating Fetal Weight at Varying Gestational AgeYu Lu 0001, Xi Zhang, Xianghua Fu, Fangxiong Chen, Kelvin K. L. Wong. 9522-9527 [doi]
• Bootstrapping Conversational Agents with Weak SupervisionNeil Mallinar, Abhishek Shah, Rajendra Ugrani, Ayush Gupta, Manikandan Gurusankar, Tin Kam Ho, Q. Vera Liao, Yunfeng Zhang, Rachel K. E. Bellamy, Robert Yates, Chris Desmarais, Blake McGregor. 9528-9533 [doi]
• Context-Tree Recommendation vs Matrix-Factorization: Algorithm Selection and Live Users EvaluationStéphane Martin, Boi Faltings, Vincent Schickel. 9534-9540 [doi]
• Amsterdam to Dublin Eventually Delayed? LSTM and Transfer Learning for Predicting Delays of Low Cost AirlinesNicholas McCarthy, Mohammad Karzand, Freddy Lécué. 9541-9546 [doi]
• Tagging Address Queries in Maps SearchShekoofeh Mokhtari, Ahmad Mahmoody, Dragomir Yankov, Ning Xie 0002. 9547-9551 [doi]
• Identifying Semantics in Clinical Reports Using Neural Machine TranslationSrikanth Mujjiga, Vamsi Krishna, Kalyan Chakravarthi, Vijayananda J. 9552-9557 [doi]
• Artificial Counselor System for Stock InvestmentHadi NekoeiQachkanloo, Benyamin Ghojogh, Ali Saheb Pasand, Mark Crowley 0001. 9558-9564 [doi]
• Separating Wheat from Chaff: Joining Biomedical Knowledge and Patient Data for Repurposing MedicationsGalia Nordon, Gideon Koren, Varda Shalev, Eric Horvitz, Kira Radinsky. 9565-9572 [doi]
• Discovering Temporal Patterns from Insurance Interaction DataMaleeha Qazi, Srinivas Tunuguntla, Peng Lee, Teja Kanchinadam, Glenn Fung, Neeraj Arora. 9573-9580 [doi]
• Enhancing Evolutionary Conversion Rate Optimization via Multi-Armed Bandit AlgorithmsXin Qiu, Risto Miikkulainen. 9581-9588 [doi]
• Inferring Concept Prerequisite Relations from Online Educational ResourcesSudeshna Roy, Meghana Madhyastha, Sheril Lawrence, Vaibhav Rajan. 9589-9594 [doi]
• Forecasting Intra-Hour Imbalances in Electric Power SystemsTárik S. Salem, Karan Kathuria, Heri Ramampiaro, Helge Langseth. 9595-9600 [doi]
• Cleaning Noisy and Heterogeneous Metadata for Record Linking across Scholarly Big DatasetsAthar Sefid, Jian Wu, Allen C. Ge, Jing Zhao, Lu Liu, Cornelia Caragea, Prasenjit Mitra, C. Lee Giles. 9601-9606 [doi]
• DEFSI: Deep Learning Based Epidemic Forecasting with Synthetic InformationLijing Wang, Jiangzhuo Chen, Madhav Marathe. 9607-9612 [doi]
• Early Detection of Vacant Parking Spaces Using Dashcam VideosMing-Che Wu, Mei-Chen Yeh. 9613-9618 [doi]
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• FRIDAYS: A Financial Risk Information Detecting and Analyzing SystemChi-Han Du, Yi-Shyuan Chiang, Kun-Che Tsai, Liang-Chih Liu, Ming-Feng Tsai, Chuan-Ju Wang. 9853-9854 [doi]
• Academic Reader: An Interactive Question Answering System on Academic LiteraturesYining Hong, Jialu Wang, Yuting Jia, Weinan Zhang 0001, Xinbing Wang. 9855-9856 [doi]
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• Imitation Learning from ObservationFaraz Torabi. 9900-9901 [doi]
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• Dynamically Identifying Deep Multimodal Features for Image Privacy PredictionAshwini Tonge, Cornelia Caragea. 10057-10058 [doi]
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• Heterogeneous Attributed Network Embedding with Graph Convolutional NetworksYueyang Wang, Ziheng Duan, Binbing Liao, Fei Wu, Yueting Zhuang. 10061-10062 [doi]
• Improving Full-Body Pose Estimation from a Small Sensor Set Using Artificial Neural Networks and a Kalman FilterFrank J. Wouda, Matteo Giuberti, Giovanni Bellusci, Bert-Jan F. van Beijnum, Peter H. Veltink. 10063-10064 [doi]
• DSINE: Deep Structural Influence Learning via Network EmbeddingJianjun Wu, Ying Sha, Bo Jiang, Jianlong Tan. 10065-10066 [doi]
• Incorporating Context-Relevant Knowledge into Convolutional Neural Networks for Short Text ClassificationJingyun Xu, Yi Cai. 10067-10068 [doi]
• Towards Gene Function Prediction via Multi-Networks Representation LearningHansheng Xue, Jiajie Peng, Xuequn Shang. 10069-10070 [doi]
• Manifold Distance-Based Over-Sampling Technique for Class Imbalance LearningLingkai Yang, Yi-Nan Guo, Jian Cheng 0004. 10071-10072 [doi]
• APRP: An Anonymous Propagation Method in Bitcoin NetworkYuhang Yao, Xiao Zeng, Tianyue Cao, Luoyi Fu, Xinbing Wang. 10073-10074 [doi]
• Sequence to Sequence Learning for Query ExpansionSalah Zaiem, Fatiha Sadat. 10075-10076 [doi]
• Adversarial Framing for Image and Video ClassificationMichal Zajac, Konrad Zolna, Negar Rostamzadeh, Pedro O. Pinheiro. 10077-10078 [doi]
• Computing Argumentative Explanations in Bipolar Argumentation FrameworksZhiwei Zeng, Chunyan Miao, Cyril Leung, Zhiqi Shen, Jing Jih Chin. 10079-10080 [doi]
• Geometric Multi-Model Fitting by Deep Reinforcement LearningZongliang Zhang, Hongbin Zeng, Jonathan Li, Yiping Chen, Chenhui Yang, Cheng Wang. 10081-10082 [doi]
• Semi-Supervised Feature Selection with Adaptive Discriminant AnalysisWeichan Zhong, Xiaojun Chen 0006, Guowen Yuan, Yiqin Li, Feiping Nie. 10083-10084 [doi]
• Adaptation Strategies for Applying AWGN-Based Denoiser to Realistic NoiseYuQian Zhou, Jianbo Jiao, Haibin Huang, Jue Wang, Thomas Huang. 10085-10086 [doi]
• Classifier-Agnostic Saliency Map ExtractionKonrad Zolna, Krzysztof J. Geras, KyungHyun Cho. 10087-10088 [doi]