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详细文章可从arXiz.org下载
– CircConv: A Structured Convolution with Low Complexity
Siyu Liao ()*; Bo Yuan (Rutgers University)
– Deep Single-View 3D Object Reconstruction with Visual Hull Embedding
Hanqing Wang (Beijing Institute of Technology)*; Jiaolong Yang (Microsoft Research Asia
(MSRA)); Wei Liang (Beijing Institute of Technology); Xin Tong (Microsoft)
– On the Optimal Efficiency of Cost-Algebraic A*
Robert Holte (University of Alberta)*; Sandra Zilles (Regina)
– Spatial-Temporal Person Re-identification
Guangcong Wang (Sun Yat-Sen University); Jian-Huang Lai (Sun Yat-sen University)*; Peigen
Huang (Sun Yat-sen University); Xiao-Hua Xie (Sun Yat-sen University)
– Look Across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age
Face Synthesis for Age-Invariant Face Recognition
Jian Zhao (National University of Singapore)*; Yu Cheng (National University of Singapore); Yi
Cheng (Panasonic); Yang Yang (National University of Singapore); Fang Zhao (Inception Institute
of Artificial Intelligence); Jianshu Li (NUS); Hengzhu Liu (National University of Defense
Technology); Yan Shuicheng (National University of Singapore); Jiashi Feng (NUS)
– Transferable Curriculum for Weakly-Supervised Domain Adaptation
Yang Shu (Tsinghua University); Zhangjie Cao (Tsinghua University); Mingsheng Long (Tsinghua
University)*; Jianmin Wang (“Tsinghua University, China”)
– Differential Networks for Visual Question Answering
Chenfei Wu (Beijing University of Posts and Telecommunications)*; Jinlai Liu (Beijing University
of Posts and Telecommunications); Xiaojie Wang (Beijing University of Posts and
Telecommunications); Ruifan Li (Beijing University of Posts and Telecommunications)
– PhoneMD: Learning to Diagnose Parkinson’s Disease from Smartphone Data
Patrick Schwab (ETH Zurich)*; Walter Karlen (ETH Zurich)
– Fairly Allocating Many Goods with Few Queries
Hoon Oh (Carnegie Mellon University); Ariel D Procaccia (Carnegie Mellon University)*; Warut
Suksompong (Stanford University)
– Disjunctive Normal Form for Multi-Agent Modal Logics Based on Logically Separability
Liangda Fang (Jinan University)*; Kewen Wang (Griffith University, Australia); Zhe Wang
(Griffith University); Ximing Wen (Guangdong Institute of Public Administration)
– Weighted Channel Dropout for Regularization of Deep Convolutional Neural Network
Saihui Hou (University of Science and Technology of China); Zilei Wang (University of Science
and Technology of China)*
– Be Inaccurate but don’t be Indecisive: How Error Distribution Can Affect User Experience
Rafael Padovani (Universidade Federal de Viçosa); Lucas Ferreira (University of California, Santa Cruz); Levi H. S. Lelis (Universidade Federal de Viçosa)*
– Evolving Action Abstractionsfor Real-Time Planning in Extensive-Form Games
Julian Mariño (Universidade de São Paulo)*; Rubens Moraes (Universidade Federal de Viçosa);
Claudio Toledo (University of São Paulo); Levi H. S. Lelis (Universidade Federal de Viçosa)
– No-reference Image Quality Assessment with Reinforcement Recursive List-wise Ranking
Jie Gu (National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy
of Sciences)*; Gaofeng Meng (Chinese Academy of Sciences); Cheng Da (National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences); SHIMING XIANG
(Chinese Academy of Sciences, China); Chunhong Pan (Institute of Automation, Chinese
Academy of Sciences)
– Zero-Shot Object Detection with Textual Descriptions
Zhihui Li (University of New South Wales)*; Lina Yao (UNSW); salil kanhere (UNSW Sydney);
Xianzhi Wang (UNSW); Xiaoqin Zhang (-); Huaxiang Zhang (Shandong Normal University)
– Leveraging Web Semantic Knowledge in Word Representation Learning
Haoyan Liu (Beihang University)*; Lei Fang (Microsoft); Jian-Guang Lou (Microsoft); Zhoujun Li
(Beihang University)
– Pareto Optimal Allocation under Compact Uncertain Preferences
Haris Aziz (UNSW Sydney)*; Peter Biro (Hungarian Academy of Sciences); Ronald de Haan
(University of Amsterdam); Bahar Rastegari (Bristol University)
– FANDA: A Novel Approach to Perform Follow-up Query Analysis
Qian Liu (Beihang University)*; Bei Chen (Microsoft Research); Jian-Guang Lou (Microsoft); Ge
Jin (Peking University); Dongmei Zhang (Microsoft Research)
– Mirroring Human Manipulation Actions to Robots with Functional Equivalence
Hangxin Liu (University of California, Los Angeles)*; Chi Zhang (University of California, Los
Angeles); Yixin Zhu (UCLA); Chenfanfu Jiang (University of Pennsylvania); Song-Chun Zhu (UCLA)
– Object Detection based on Region Decomposition and Assembly
Seung-Hwan Bae (Incheon National University)*
– Talking Face Generation by Adversarially Disentangled Audio-Visual Representation
Hang Zhou (The Chinese University of Hong Kong)*; Yu Liu (The Chinese University of Hong
Kong); Ziwei Liu (The Chinese University of Hong Kong); Ping Luo (The Chinese University of
Hong Kong); Xiaogang Wang (Chinese University of Hong Kong, Hong Kong)
– Weighted abstract dialectical frameworks through the lens of approximation fixpoint
theory
Bart Bogaerts (KU Leuven)*
– Low-Distortion Social Welfare Functions
Gerdus Benade (CMU); Ariel D Procaccia (Carnegie Mellon University)*; Mingda Qiao (Tsinghua
University)
– MetaStyle: Three-Way Trade-Off Among Speed, Flexibility and Quality in Neural Style
Transfer
Chi Zhang (University of California, Los Angeles)*; Yixin Zhu (UCLA); Song-Chun Zhu (UCLA)
– Word Embedding as Maximum A Posteriori Estimation
Shoaib Jameel (University of Kent)*; Zihao Fu (The Chinese University of Hong Kong); Bei Shi
(Tencent AI Lab); Wai Lam (The Chinese University of Hong Kong); Steven Schockaert (Cardiff
University)
– Blameworthiness in Strategic Games
Pavel Naumov (Claremont McKenna College)*; Jia Tao (Lafayette College)
– Disentangled Variational Representation for Heterogeneous Face Recognition
Xiang Wu (Institue of Automation, Chinese Academy of Science); Huaibo Huang (University of
Chinese Academy of Sciences); Vishal Patel (Johns Hopkins University)*; Ran He (Institute of
Automation, Chinese Academy of Sciences); Zhenan Sun (Chinese of Academy of Sciences)
– Learning Resolution-Invariant Deep Representations for Person Re-Identification
Yun-Chun Chen (National Taiwan University); Yu-Jhe Li (National Taiwan University)*; Xiaofei Du
(Umbo Computer Vision); Yu-Chiang Frank Wang (National Taiwan University)
– Sharper Generalization Bound for the Divide-and-Conquer Ridge Regression
Shusen Wang (Stevens Institute of Technology)*
– CAPNet: Continuous Approximation Projection for 3D Point Cloud Reconstruction Using 2D
Supervision
Navaneet K L (Indian Institute of Science)*; Priyanka Mandikal (Indian Institute of Science);
Mayank Agarwal (BITS Pilani); Venkatesh Babu RADHAKRISHNAN (Indian Institute of Science)
– Single-Label Multi-Class Image Classification by Deep Logistic Regression
QI DONG (QMUL)*; Xiatian Zhu (Queen Mary University, London, UK); Shaogang Gong (Queen
Mary University of London)
– Disjoint Label Space Transfer Learning with Common Factorised Space
Xiaobin Chang (Queen Mary University London)*; Yongxin Yang (University of Edinburgh ); Tao
Xiang (Queen Mary, University of London, UK); Timothy Hospedales (Edinburgh University)
– Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction
Huaxiu Yao (Pennsylvania State University)*; Xianfeng Tang (The Pennsylvania State University);
Hua Wei (Pennsylvania State University); Guanjie Zheng (Pennsylvania State University);
Zhenhui (Jessie) Li (Penn State University)
– Improving Hypernymy Prediction via Taxonomy Enhanced Adversarial Learning
Chengyu Wang (East China Normal University)*; Xiaofeng He (East China Normal University);
Aoying Zhou (East China Normal University )
– DeepChannel: Salience Estimation by Contrastive Learning for Extractive Document
Summarization
Jiaxin Shi (Tsinghua University)*; Chen Liang (Tsinghua University); Lei Hou (Tsinghua
University); Juanzi Li (Tsinghua University); Hanwang Zhang (Nanyang Technological University);
Zhiyuan Liu (Tsinghua University)
– Deep Recurrent Survival Analysis
Kan Ren (Shanghai Jiao Tong University)*; Jiarui Qin ( Shanghai Jiao Tong University); Lei Zheng (
Shanghai Jiao Tong University); Zhengyu Yang (Shanghai Jiao Tong University); Weinan Zhang
(John Hopcroft Center, Shanghai Jiao Tong University); Lin Qiu (Shanghai Jiao Tong University);
Yong Yu (Shanghai Jiao Tong University)
– Safe Partial Diagnosis from Normal Observations
Roni Stern (BGU)*; Brendan Juba (WASHINGTON UNIVERSITY ST LOUIS)
– Augmenting Markov Decision Processes with Advising
Loïs Vanhée (Université de Caen)*; Laurent Jeanpierre (Université de Caen); Abdel-Illah
Mouaddib (University of Caen Normandy)
– Attention-based Multi-Context Guiding for Few-Shot Semantic Segmentation
Tao Hu (University of Amsterdam); Pengwan Yang (Peking University); Chiliang Zhang (Tsinghua
University); Gang Yu (Face++); Yadong Mu (Peking University)*; Cees Snoek (University of
Amsterdam)
– Deep Video Frame Interpolation using Cyclic Frame Generation
Yu-Lun Liu (National Taiwan University; Academia Sinica; MediaTek)*; Yi-Tung Liao (National
Taiwan University; Academia Sinica); Yen-Yu Lin (Academia Sinica); Yung-Yu Chuang (National
Taiwan University)
– Multi-view Information-theoretic Co-clustering for Co-occurrence Data
Xu Peng (Jiangnan University)*; Zhaohong Deng (Jiangnan University, China); Kup-Sze Choi (The
Hong Kong Polytechnic University); Longbing Cao (University of Technology Sydney); Wang
Shitong (Jiangnan University)
– How Does Knowledge of the AUC Constrain the Set of Possible Ground-truth Labelings?
Jacob Whitehill (Worcester Polytechnic Institute)*
– Sensitivity Analysis of Deep Neural Networks
Hai Shu (The University of Texas MD Anderson Cancer Center); Hongtu Zhu (UNC Chapel Hill)*
– Migration as Submodular Optimization
Paul Goelz (Carnegie Mellon University); Ariel D Procaccia (Carnegie Mellon University)*
– Scalable Distributed DL Training: Batching Communication and Computation
Shaoqi Wang (University of Colorado, Colorado Springs)*; Aidi Pi (University of Colorado,
Colorado Springs); Xiaobo Zhou (University of Colorado, Colorado Springs)
– Non-Compensatory Psychological Models for Recommender Systems
Chen Lin (Xiamen University)*; Xiaolin Shen (Xiamen University); Si Chen (Xiamen University);
Muhua Zhu (Alibaba Group); Yanghua Xiao (Fudan University)
– Deep Interest Evolution Network for Click-Through Rate Prediction
Guorui Zhou (Alibaba Group)*; Na Mou (Alibaba Group); QI PI (Alibaba Group); Ying Fan
(Alibaba Group); Weijie Bian (Alibaba Group); Chang Zhou (Alibaba Group); Xiaoqiang Zhu
(Alibaba Group); Kun Gai (Alibaba Group)
– MFBO-SSM: Multi-Fidelity Bayesian Optimization for Fast Inference in State-Space Models
Mahdi Imani (Texas A&M University)*; Seyede Fatemeh Ghoreishi (Texas A&M University);
Douglas Allaire (Texas A&M University); Ulisses M. Braga-Neto (Texas A&M University)
– FRAME Revisited: An Interpretation View Based on Particle Evolution
Xu Cai (Sun Yat-sen University)*; Yang Wu (Sun Yat-sen University); Guanbin Li (Sun Yat-sen
University); Ziliang Chen (Sun Yat-sen University); Liang Lin (Sun Yat-sen University)
– RR-GAN: Single Image Rain Removal Without Paired Information
Hongyuan Zhu (Institute for Infocomm, Research Agency for Science, Technology and Research
(ASTAR) Singapore); Xi Peng (); Joey Tianyi Zhou (IHPC); Songfan Yang (100tal); Vijay
Chandrasekhar (Institute for Infocomm Research); Liyuan Li (Institute for Infocomm Research);
Joo-Hwee Lim (Institute for Infocomm Research)
– Unsupervised Meta-learning of Figure-Ground Segmentation via Imitating Visual Effects
Ding-Jie Chen (Academia Sinica)*; Jui-Ting Chien (national tsing hua university); Hwann-Tzong
Chen (National Tsing Hua University); Tyng-Luh Liu (Academia Sinica)
– MEAL: Multi-Model Ensemble via Adversarial Learning
Zhiqiang Shen (UIUC)*; Zhankui He (Fudan University); Xiangyang Xue (Fudan University)
– TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-Agents
Yuexin Ma (The University of Hong Kong)*; Xinge Zhu (The Chinese University of Hong Kong);
Sibo Zhang (Baidu); Yang Ruigang (Baidu); Wenping Wang (The University of Hong Kong);
Dinesh Manocha (UMD)
– Optimal Surveillance of Covert Networks by Minimizing Inverse Geodesic Length
Serge Gaspers (UNSW); Kamran Najeebullah (UNSW and Data61)*
– Tracking Logical Difference in Large-Scale Ontologies: A Forgetting-Based Approach
Yizheng Zhao (The University of Manchester)*; Ghadah Alghamdi (The University of
Manchester); Renate Schmidt (Manchester); Hao Feng (North China University of Science and
Technology); Giorgos Stoilos (Babylon Health Ltd.); Damir Juric (Babylon Health); Mohammad
Khodadadi (Babylon Health)
– Solving Imperfect-Information Games with Discounted Counterfactual Regret Minimization
Noam Brown (Carnegie Mellon University)*; Tuomas Sandholm (Carnegie Mellon University)
– ScalMC: Engineering an Efficient Approximate Model Counter
Mate Soos (National University of Singapore); Kuldeep S Meel (National University of
Singapore)*
– Learning Neural Bag-of-Matrix-Summarization with Riemannian Network
Hong Liu (Xiamen University)*; Jie Li (Xiamen University); Rongrong Ji (Xiamen University,
China); Yongjian Wu (Tencent Technology (Shanghai) Co.,Ltd)
– Learning Diffusions without Timestamps
Hao Huang (Wuhan University)*; Qian Yan (Wuhan University); Ting Gan (Wuhan University); Di
Niu (University of Alberta); Wei Lu (Renmin university of china); Yunjun Gao (" Zhejiang
University, China")
– Adversarial Dropout for Recurrent Neural Networks
Sungrae Park (KAIST); Kyungwoo Song (KAIST); Mingi Ji (KAIST); Wonsung Lee (KAIST); Il-Chul
Moon (KAIST)*
– Convergence of Learning Dynamics in Information Retrieval Games
Omer Ben-Porat (Technion – Israel Institute of Technology); Itay Rosenberg (Technion)*; Moshe
Tennenholtz (Technion – Israel Institute of Technology)
– Polynomial-time probabilistic reasoning with partial observations via implicit learning in
probability logics
Brendan Juba (WASHINGTON UNIVERSITY ST LOUIS)*
– Adaptive Sparse Confidence-Weighted Learning for Online Feature Selection
Yanbin Liu (University of Technology Sydney); Yan Yan (University of Technology Sydney); Ling
Chen (" University of Technology, Sydney, Australia"); Yahong Han (Tianjin University); Yi Yang
(UTS)*
– Automated Verification of Social Laws for Continuous Time Multi-Robot Systems
Ronen Levy Nir (Technion)*; Erez Karpas (Technion)
– Read, Watch, and Move: Reinforcement Learning for Temporally Grounding Natural
Language Descriptions in Videos
Dongliang He (Baidu)*; Xiang Zhao (Baidu); Jizhou Huang (Baidu); Fu Li (Baidu); Xiao Liu (Baidu
Research); Shilei Wen (Baidu Research)
– A Novel Framework for Robustness Analysis of Visual QA Models
Jiahong Huang (KAUST)*; Cuong D Dao (KAUST); Modar Alfadly (KAUST); C.-H. Huck Yang
(Georgia Institute of Technology ); Rise Ooi (Hokkaido University); Yi-Chieh Liu (National Taiwan
University); Bernard Ghanem (KAUST)
– Adversarial Learning for Weakly-Supervised Social Network Alignment
Chaozhuo Li (Beihang University)*; Yukun Wang (National University of Singapore); Senzhang
Wang (Nanjing University of Aeronautics and Astronautics); Yun Liu (Beihang University); P Yu
(Tsinghua Universtiy); Zhoujun Li (Beihang University); Yanbo Liang (Hortonworks)
– Rotational Diversity in Multi-Cycle Assignment Problems
Helge Spieker (Simula Research Laboratory)*; Arnaud Gotlieb (Simula Research Laboratory);
Morten Mossige (University of Stavanger)
– TallyQA: Answering Complex Counting Questions
Manoj Acharya (Rochester Institute of Technology)*; Kushal Kafle (Rochester Institute of
Technology); Christopher Kanan (Rochester Institute of Technology)
– Distributionally Adversarial Attack
Tianhang Zheng (University at Buffalo, State University of New York)*; Changyou Chen
(University at Buffalo); Kui Ren (University at Buffalo, State University of New York )
– ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper
Summarization with Citation Networks
Michihiro Yasunaga (Yale University)*; Jungo Kasai (University of Washington); Rui Zhang (Yale
University); Alexander R Fabbri (Yale University); Irene Li (Yale University); Dan Friedman (Yale
University); Dragomir Radev (Yale University)
– Object Reachability via Swaps along a Line
Sen Huang (University of Electronic Science and Technology of China); Mingyu Xiao (UESTC)*
– Recognizing Unseen Attribute-Object Pair with Generative Model
zhixiong nan (Xi’an Jiaotong University)*; Yang Liu (UCLA); Nanning Zheng (Xi’an Jiaotong
University); Song-Chun Zhu (UCLA)
– Deep Bayesian Trust : A Dominant and Fair Incentive Mechanism for Crowd
Naman Goel (EPFL)*; Boi Faltings (EPFL)
– Knowledge-Driven Encode, Retrieve, Paraphrase for Medical Image Report Generation
Yuan Li (Duke University)*; Xiaodan Liang (Carnegie Mellon University); zhiting hu (CMU); Eric
Xing (Petuum Inc. and CMU)
– Video Imprint Segmentation for Temporal Action Detection in Untrimmed Videos
Zhanning Gao (Xi’an Jiaotong University); Le Wang (Xi’an Jiaotong University)*; Qilin Zhang
(HERE Technologies); zhenxing niu (Alibaba Group-Machine Intelligence Technology); Nanning
Zheng (Xi’an Jiaotong University); Gang Hua (Microsoft Cloud and AI)
– Learning to Steer by Mimicking Features from Heterogeneous Auxiliary Networks
Yuenan HOU (The Chinese University of Hong Kong)*; Zheng Ma (SenseTime Research);
Chunxiao Liu (SenseTime Research); Chen Change Loy (Chinese University of Hong Kong)
– On Testing of Samplers
Sourav Chakraborty (Indian Statistical Institute); Kuldeep S Meel (National University of
Singapore)*
– A^2-Net: Molecular Structure Estimation for Cryo-EM Density Volumes
Kui Xu (Tsinghua University)*; Zhe Wang (Sensetime Group Limited); Jianping Shi (Sensetime
Group Limited); Hongsheng Li (Chinese University of Hong Kong); Qiangfeng Cliff Zhang
(Tsinghua University)
– Template-Based Math Word Problem Solvers with Recursive Neural Networks
Lei Wang (University of Electronic and Science Technology of China); Dongxiang Zhang
(University of Electronic Science and Technology of China)*; zhang jipeng (University of
Electronic Science and Technology of China); Xing Xu (University of Electronic Science and
Technology of China); Lianli Gao (The University of Electronic Science and Technology of China);
Bing Tian Dai (Singapore Management University); Heng Tao Shen (University of Electronic
Science and Technology of China (UESTC))
– Learning to Embed Sentences Using Attentive Recursive Trees
Jiaxin Shi (Tsinghua University)*; Lei Hou (Tsinghua University); Juanzi Li (Tsinghua University);
Zhiyuan Liu (Tsinghua University); Hanwang Zhang (Nanyang Technological University)
– On the Hardness of Probabilistic Inference Relaxations
Supratik Chakraborty (IIT Bombay); Kuldeep S Meel (National University of Singapore)*; Moshe
Vardi (Rice University)
– Consensus Adversarial Domain Adaptation
Han Zou (UC Berkeley)*; Yuxun Zhou (UC Berkeley); JIANFEI YANG (Nanyang Technological
University); Huihan Liu (UC Berkeley ); Hari Prasanna Das (UC Berkeley ); Costas Spanos (UC
Berkeley)
– Towards Optimal Discrete Online Hashing with Balanced Similarity
Mingbao Lin (Xiamen University, China)*; Rongrong Ji (Xiamen University, China); Hong Liu
(Xiamen University); Xiaoshuai Sun (Harbin Institute of Technology); Yongjian Wu (Tencent
Technology (Shanghai) Co.,Ltd); Yunsheng Wu (Tencent YouTu)
– Determinantal reinforcement learning
Takayuki Osogami (IBM Research - Tokyo)*; Raymond Rudy (IBM Research Tokyo)
– Scene Text Recognition from Two-Dimensional Perspective
Minghui Liao (Huazhong University of Science and Technology)*; Jian Zhang (Megvii); Zhaoyi
Wan (Megvii); Fengming Xie (Megvii); Jiajun Liang (Megvii); Pengyuan Lyu (Huazhong University
of Science and Technology); Cong Yao (Megvii); Xiang Bai (Huazhong University of Science and
Technology)
– 3D Face Synthesis Driven by Personality Impression
yining lang (Beijing Institute of Technology)*; Wei Liang (Beijing Institute of Technology); Yujia
Wang (Beijing Institute of Technology); Lap-Fai Yu (University of Massachusetts Boston)
– Perceptual-Sensitive GAN for Generating Adversarial Patches
Aishan Liu (BUAA); Jiaxin Fan (BUAA); Yuqing Ma (BUAA); Anlan Zhang (BUAA); Huiyuan Xie
(University of Cambridge); Xianglong Liu (Beihang University)*; Dacheng Tao (University of
Sydney)
– DDFlow: Learning Optical Flow with Unlabeled Data Distillation
Pengpeng Liu (The Chinese University of Hong Kong)*; Irwin King (The Chinese University of
Hong Kong); Michael Lyu (The Chinese University of Hong Kong); Jia Xu (Tencent AI Lab)
– Incorporating Behavioral Constraints in Online AI Systems
Avinash Balakrishnan (IBM); Djallel Bouneffouf (IBM); Nicholas Mattei (IBM Research)*;
Francesca Rossi (IBM)
– A Deep Reinforcement Learning Framework for Rebalancing Dockless Bike Sharing Systems
Ling Pan (IIIS, Tsinghua University)*; Qingpeng Cai (IIIS, Tsinghua University); Zhixuan Fang (The
Department of Information Engineering, The Chinese University of Hong Kong); Pingzhong Tang
(Tsinghua University); Longbo Huang (IIIS, Tsinghua Univeristy)
– Data-to-Text Generation with Content Selection and Planning
Ratish Puduppully (University of Edinburgh)*; Li Dong (University of Edinburgh); Mirella Lapata
(University of Edinburgh)
– How many preference pairs suffice to rank a graph consistently?
Aadirupa Saha (Indian Institute of Science)*; Rakesh Shivanna (Google Inc.); Chiranjib
Bhattacharyya (Indian Institute of Science)
– Allocating Search Effort When Actions Expire
Shahaf Shperberg (Ben-Gurion University); Andrew Coles (King’s College London); Bence Cserna
(University of New Hampshire); Erez Karpas (Technion); Wheeler Ruml (University of New
Hampshire); Eyal S Shimony (BGU)*
– Sentence-wise Smooth Regularization for Sequence to Sequence Learning
Chengyue Gong (Peking Univeristy)*; Xu Tan (); Di He (Peking University); Tao Qin (Microsoft
Research Asia)
– Sublinear Time Numerical Linear Algebra for Structured Matrices
Xiaofei Shi (CMU)*; David Woodruff (Carnegie Mellon University)
– HSME: Hypersphere Manifold Embedding for Visible Thermal Person Re-identification
Yi Hao (Xidian University)*; Nannan Wang (Xidian University); Li Jie (Xidian University); Xinbo
Gao (Xidian University)
– Energy Confused Adversarial Metric Learning for Zero-Shot Image Retrieval and Clustering
Binghui Chen (BUPT)*; Weihong Deng (Beijing University of Posts and Telecommunications)
– Spectral Clustering in Heterogeneous Information Networks
Xiang Li (JD.com)*; Ben Kao (University of Hong Kong); Zhaochun Ren (JD.com); Dawei Yin
(JD.com)
– Interaction-aware Factorization Machines
Fuxing Hong (Tencent)*; Dongbo Huang (Tencent); Ge Chen (Tencent)
– Residual Attribute Attention Network for Face Image Super-Resolution
Jingwei Xin (Xidian University); Nannan Wang (Xidian University)*; Li Jie (Xidian University);
Xinbo Gao (Xidian University)
– Certifying the True Error: Machine Learning in Coq with Verified Generalization Guarantees
Alexander Bagnall (Ohio University); Gordon Stewart (Ohio University)*
– Differentially Private Empirical Risk Minimization with Smooth Non-convex Loss Functions:
A Non-stationary View
Di Wang (SUNY at Buffalo)*; Jinhui Xu (SUNY Buffalo)
– Embedding Uncertain Knowledge Graphs
Xuelu Chen (UCLA)*; Muhao Chen (UCLA); Weijia Shi (UCLA); Yizhou Sun (UCLA); Carlo Zaniolo
(UCLA, USA)
– Self-Paced Active Learning: Query the Right Thing at the Right Time
Ying-Peng Tang (Nanjing University of Aeronautics and Astronautics); Sheng-Jun Huang (Nanjing
University of Aeronautics and Astronautics)*
– Learning a Deep Convolutional Network for Colorization in Monochrome-Color Dual-Lens
System
Xuan Dong (Beijing University of Posts and Telecommunications); Weixin Li (Beihang
University)*; Xiaojie Wang (Beijing University of Posts and Telecommunications); Yunhong
Wang (State Key Laboratory of Virtual Reality Technology and System, Beihang University,
Beijing 100191, China)
– Fully Convolutional Network with Multi-Step Reinforcement Learning for Image Processing
Ryosuke Furuta (The University of Tokyo)*; Naoto Inoue (The University of Tokyo); Toshihiko
Yamasaki (The University of Tokyo)
– G2C: A Generator-to-Classifier Framework Integrating Multi-Stained Visual Cues for
Pathological Glomerulus Classification
Bingzhe Wu (Peking University)*; Xiaolu Zhang (Ant Financial Services Group); Shiwan Zhao
(IBM Research); Lingxi Xie (Johns Hopkins University); Caihong Zeng (National Clinical Research
Center of Kidney Diseases, Jinling Hospital, Nanjing University School of Medicine); Zhihong Liu
(National Clinical Research Center of Kidney Diseases, Jinling Hospital, Nanjing University School
of Medicine); Guangyu Sun (Peking University)
– Towards Optimal Fine Grained Retrieval via Decorrelated Centralized Loss with NormalizeScale layer
Xiawu Zheng (Xiamen University)*; Rongrong Ji (Xiamen University, China); Xiaoshuai Sun
(Harbin Institute of Technology); Baochang Zhang (Beihang University); Yongjian Wu (Tencent
Technology (Shanghai) Co.,Ltd); Yunsheng Wu (Tencent YouTu)
– Robustness Can Be Cheap: A Highly Efficient Approach to Discover Outliers under High
Outlier Ratios
Siqi Wang (National University of Defense Technology)*; En Zhu (National University of Defense
Technology); Xiping Hu (Shenzhen Institute of Advanced Technology, Chinese Academy of
Science); Xinwang Liu (National University of Defense Technology); Qiang Liu (National
University of Defense Technology); Jianping Yin (National University of Defense Technology); Fei
Wang (Cornell University)
– Hybrid Attention-based Prototypical Networks for Noisy Few-Shot Relation Classification
Tianyu Gao (Tsinghua University)*; Xu Han (Tsinghua University); Zhiyuan Liu (Tsinghua
University); Maosong Sun (Tsinghua University)
– TransGate: Knowledge Graph Embedding with Shared Gate Structure
Jun Yuan (Institute of Information Engineering, Chinese Academy of Sciences)*; Neng Gao
(Institute of Information Engineering, Chinese Academy of Sciences); Ji Xiang (Institute of
Information Engineering, Chinese Academy of Sciences)
– Performance Guarantees for Homomorphisms beyond Markov Decision Processes
Sultan Javed Majeed (Australian National University)*; Marcus Hutter (Australian National
University)
– Cross-view Local Structure Preserved Diversity and Consensus Learning for Multi-view
Unsupervised Feature Selection
Chang Tang (China University of Geosciences); Xinwang Liu (National University of Defense
Technology); Xinzhong Zhu (Zhejiang Normal University)*; Lizhe Wang (China University of
Geosciences)
– Enriching Non-parametric Bidirectional Search Algorithms
Shahaf Shperberg (Ben-Gurion University); Ariel Felner (BGU)*; Avi Hayoun (Ben-Gurion
University); Eyal S Shimony (BGU); Nathan R Sturtevant (University of Alberta)
– Cost-Sensitive Learning to Rank
Ryan McBride (Simon Fraser University)*; Ke Wang (SFU); Zhouyang Ren (Chongqing
University); Wenyuan Li (Chongqing University)
– Primarily About Primaries
Allan Borodin (University of Toronto); Omer Lev (Ben Gurion University); Nisarg Shah (U.
Toronto)*; Tyrone Strangway (University of Toronto)
– Optimal Projection Guided Transfer Hashing for Image Retrieval
Ji Liu (Chongqing University); Lei Zhang (Chongqing University)*
– Safeguarded Dynamic Label Regression for Noisy Supervision
Jiangchao Yao (Cooperative Medianet Innovation Center, Shang hai Jiao Tong University)*; Hao
Wu (Cooperative Medianet Innovation Center, Shanghai Jiao Tong University); Ya Zhang
(Cooperative Medianet Innovation Center, Shang hai Jiao Tong University); Ivor Tsang
(University of Technology Sydney); Jun Sun (SJTU)
– Neural Attentive Model for Explainable Recommendation by Learning User Dynamic
Preference
Xu Chen (Tsinghua University)*; Yongfeng Zhang (Rutgers University); Zheng Qin (Tsinghua
University)
– Learning Basis Representation to Refine 3D Human Pose Estimations
Chunyu Wang (Microsoft Research asia)*; Haibo Qiu (University of Science and Technology of
China ); Alan Yuille (Johns Hopkins University); Wenjun Zeng (Microsoft Research)
– Efficient and Effective Incomplete Multi-view Clustering
Xinwang Liu (National University of Defense Technology); Xinzhong Zhu (Zhejiang Normal
University); Miaomiao Li (Changsha University); Chang Tang (China University of Geosciences)*;
En Zhu (National University of Defense Technology); Jianping Yin (Dongguan University of
Technology); Wen Gao (PKU)
– Multi-Dimensional Classification via kNN Feature Augmentation
Bin-Bin Jia (School of Computer Science and Engineering, Southeast University); Min-Ling Zhang
(School of Computer Science and Engineering, Southeast University)*
– Regular Boardgames
Jakub Kowalski (University of Wrocław)*; Maksymilian Mika (University of Wrocław); Jakub
Sutowicz (University of Wrocław); Marek Szykuła (University of Wrocław)
– Learning to Localize Objects with Noisy Labeled Instances
Xiaopeng Zhang (National University of Singapore)*; Yang Yang (University of Electronic Science
and Technology of China); Jiashi Feng (NUS)
– To Find Where You Talk: Temporal Sentence Localization in Video with Attention Based
Location Regression
Yitian Yuan (Tsinghua-Berkeley Shenzhen Institute, Tsinghua University)*; Tao Mei (JD.com);
Wenwu Zhu (Tsinghua University)
– One-network Adversarial Fairness
Tameem Adel (University of Cambridge)*; Isabel Valera (MPI-IS); Zoubin Ghahramani
(University of Cambridge); Adrian Weller (Cambridge University)
– Spatiotemporal Multi-Graph Convolution Network for Ride-hailing Demand Forecasting
Xu Geng (HKUST)*; Yaguang Li (University of Southern California); Leye Wang (HKUST); Lingyu
Zhang (didichuxing Inc.); Jieping Ye (Didichuxing Inc.); Yan Liu (USC); Qiang Yang (Hong Kong
UST)
– Traffic Updates: Saying a Lot While Revealing a Little
John Krumm (Microsoft Research)*; Eric Horvitz (MSR)
– Revenue Enhancement Via Asymmetric Signaling in Interdependent-Value Auctions
Zhuoshu Li (Washington University in St. Louis)*; Sanmay Das (Washington University in St.
Louis)
– Safe Reinforcement Learning through Barrier Functions for Safety-Critical Continuous
Control Tasks
Richard Cheng (Caltech)*; Gabor Orosz (University of Michigan); Richard M Murray (California
Institute of Technology); Joel Burdick (Caltech)
– Horizontal Pyramid Matching for Person Re-identification
Yang Fu (UIUC)*; Yunchao Wei (UIUC); Yuqian Zhou (UIUC); Honghui Shi (UIUC); Gao Huang
(Cornell); Xinchao Wang (Stevens Institute of Technology); Zhiqiang Yao (Cloudwalk); Thomas
Huang (UIUC)
– STA: Spatial-Temporal Attention for Large-Scale Video-based Person Re-Identification
Yang Fu (UIUC)*; Xiaoyang Wang (Nokia Bell Labs); Yunchao Wei (UIUC); Thomas Huang (UIUC)
– Multi-scale 3D Convolution Network for Video Based Person Re-Identification
Jianing Li (Peking University); Shiliang Zhang (Beijing University)*; Tiejun Huang (Peking
University)
– Weakly-Supervised Simultaneous Evidence Identification and Segmentation for
Automated Glaucoma Diagnosis
Rongchang Zhao (Central South University)*; Wangmin Liao (Central South University); Beiji Zou
(Central South University); Zailiang Chen (Central South University); Shuo Li (the University of
Western Ontario)
– Pathological Evidence Exploration in Deep Retinal Image Diagnosis
Yuhao Niu (Beihang University); Lin Gu (National Institute of Informatics, Japan); Feng Lu
(Beihang University)*; Feifan Lv (Beihang University); Zongji Wang (BUAA); Imari Sato (National
Institute of Informatics); Zijian Zhang (Xiangya Hospital Central South University); Yangyan Xiao
(The second Xiangya Hospital of Central South University); Dai Xunzhang (Xiangya hospital of
central-south university ); Tingting Cheng (Xiangya Hospital Central South University)
– Cubic LSTMs for Video Prediction
Hehe Fan (UTS)*; Linchao Zhu (University of Technology, Sydney); Yi Yang (UTS)
– A Deep Cascade Model for Multi-Document Reading Comprehension
Ming Yan (Alibaba Group); Jiangnan Xia (Alibaba Group); Chen Wu (Alibaba Group)*; Bin Bi
(Alibaba Group); Zhongzhou Zhao (Alibaba Group); Ji Zhang (Alibaba Inc. ); Luo Si (Alibaba
Group); Rui Wang (Alibaba Group); Haiqing Chen (Alibaba Inc. ); Wei Wang (Alibaba Group)
– Amalgamating Knowledge towards Comprehensive Classification
Chengchao Shen (Zhejiang University)*; Xinchao Wang (Stevens Institute of Technology); Jie
Song (College of Computer Science and Technology, Zhejiang University); Li Sun (Zhejiang
University); Mingli Song (Zhejiang University)
– Bounded Suboptimal Search with Learned Heuristics for Multi-Agent Systems
Markus Spies (Bosch Center for Artificial Intelligence)*; Marco Todescato (Bosch Center for
Artificial Intelligence); Meng Guo (Bosch Center for Artificial Intelligence); Patrick Kesper (Bosch
Center for Artificial Intelligence); Hannes Becker (Bosch Center for Artificial Intelligence); Nicolai
Waniek (Bosch Center for Artificial Intelligence)
– Similarity Learning via Kernel Preserving Embedding
Zhao Kang (University of Electronic Science and Technology of China)*; Yiwei Lu (University of
Electronic Science and Technology); yuanzhang su (University of Electronic Science and
Technology); Changsheng Li (University of Electronic Science and Technology of China); Zenglin
Xu (University of Electronic Science and Technology of China)
– Cross-domain Visual Representations via Unsupervised Graph Alignment
Baoyao Yang (Department of Computer Science, Hong Kong Baptist University)*; PongChi Yuen
(Department of Computer Science, Hong Kong Baptist University)
– A Bottom-Up Clustering Approach to Unsupervised Person Re-identification
Yutian Lin (University of Technology Sydney)*; Xuanyi Dong (UTS); Liang Zheng (Singapore
University of Technology and Design); Yan Yan (Texas State University); Yi Yang (UTS)
– An Affect-Rich Neural Conversational Model with Biased Attention and Weighted CrossEntropy Loss
Peixiang Zhong (Nanyang Technological University)*; Di Wang (Nanyang Technological
University); Chunyan Miao (NTU)
– Tackling Sparse Rewards in Real-Time Games with Statistical Forward Planning Methods
Raluca D Gaina (Queen Mary University of London)*; Simon Lucas (Queen Mary University of
London); Diego Perez-Liebana (Queen Mary University of London)
– 3D Object Detection Using Scale Invariant and Feature Reweighting Networks
Xin Zhao (Institute of Automation, Chinese Academy of Sciences)*; Zhe Liu (Huazhong
University of Science and Technology); hu ruo lan (Huazhong University of Science and
Technology); KAIQI HUANG (Chinese Academy of Sciences, China)
– Complexity of Abstract Argumentation Under a Claim-centric View
Wolfgang Dvorak (TU Wien)*; Stefan Woltran (TU Wien)
– Unified Embedding Alignment with Missing Views Inferring for Incomplete Multi-View
Clustering
Jie Wen (Harbin Institute of Technology, Shenzhen)*; Zheng Zhang (The University of
Queensland); Yong Xu (Harbin Institute of Technology Shenzhen Graduate School); Bob Zhang
(University of Macau); Lunke Fei (Guangdong University of Technology); Hong Liu (Peking
University Shenzhen Graduate School)
– A Hierarchical Framework for Relation Extraction with Reinforcement Learning
Ryuichi Takanobu (Tsinghua University)*; Tianyang Zhang (Tsinghua University); JieXi Liu
(Tsinghua University); Minlie Huang ()
– Modular Materialisation of Datalog Programs
Pan Hu (University of Oxford)*; Boris Motik (University of Oxford); Ian Horrocks (University of
Athens )
– TransNFCM: Translation-Based Neural Fashion Compatibility Modeling
Xun Yang (National University of Singapore)*; Yunshan Ma (National University of Singapore );
lizi Liao (National University of Singapore); Meng Wang (Hefei University of Technology); TatSeng Chua (National Univ. of Singapore)
– Unsupervised Fake News Detection on Social Media: A Generative Approach
Shuo Yang (Shanghai Jiao Tong University)*; Kai Shu (Arizona State University); Suhang Wang
(Penn State University); Renjie Gu (Shanghai Jiao Tong University); FAN WU (Shanghai Jiao Tong
University); Huan Liu (Arizona State University)
– Deep Bayesian Optimization on Attributed Graphs
Jiaxu Cui (Jilin University); Bo Yang (Jilin University)*; Xia Hu (Texas A&M University)
– Deep Latent Generative Models For Energy Disaggregation
Gissella Bejarano (SUNY Binghamton)*; David Defazio (SUNY Binghamton); Arti Ramesh (SUNY
Binghamton)
– Selective Refinement Network for High Performance Face Detection
Cheng Chi (University of Chinese Academy of Sciences)*; Shifeng Zhang (CBSR, NLPR, CASIA);
Junliang Xing (Institute of Automation, Chinese Academy of Sciences); Zhen Lei (NLPR, CASIA,
China); Stan Li (National Lab. of Pattern Recognition, China); Xudong Zou (Institute of
Electronics, Chinese Academy of Sciences)
– GAMENet: Graph Augmented MEmory Networks for Recommending Medication
Combination
Junyuan Shang (Peking University); Cao Xiao (IBM Research )*; Tengfei Ma (IBM Research);
Hongyan Li (Peking University); Jimeng Sun (CS)
– The Kelly Growth Optimal Portfolio with Ensemble Learning
Weiwei Shen (GE Global Research Center)*; Bin Wang (Citi Group); Jian Pu (Shanghai Key Lab
for Trustworthy Computing, School of Computer Science and Software Engineering, East China
Normal University); Jun Wang (Alibaba)
– Zero-Shot Adaptive Transfer for Conversational Language Understanding
Sungjin Lee (Microsoft Research)*; Rahul Jha (Microsoft)
– ABox Abduction via Forgetting in ALC
Warren M Del-Pinto (University of Manchester)*; Renate Schmidt (Manchester)
– Task Transfer by Preference-Based Cost Learning
Mingxuan Jing (Tsinghua University)*; Xiaojian Ma (Tsinghua University); Wenbing Huang
(Tencent AI Lab); Fuchun Sun (Tsinghua); 刘 华平 (清华大学)
– Free VQA Models from Knowledge Inertia by Pairwise Inconformity Learning
Yiyi Zhou (Xiamen University); Rongrong Ji (Xiamen University, China)*; Jinsong Su (Xiamen
University); Xiaoshuai Sun (Harbin Institute of Technology); Xiangming Li (Xiamen University)
– Mono3D++: Monocular 3D Vehicle Detection with Two-Scale 3D Hypotheses and Task
Priors
Tong He (UCLA); Stefano Soatto (UCLA)*
– Video Inpainting by Jointly Learning Temporal Structure and Spatial Details
Chuan Wang (Face++ (Megvii))*; Haibin Huang (Face++ (Megvii)); Xiaoguang Han (Shenzhen
Research Institute of Big Data, the Chinese University of Hong Kong (Shenzhen)); Jue Wang
(Face++ (Megvii))
– End-to-End Knowledge-Routed Relational Dialogue System for Automatic Diagnosis
Lin Xu (Sun Yat-sen University); Qixian Zhou (Sun Yat-sen University)*; Ke Gong (Sun Yat-sen
University ); Xiaodan Liang (Carnegie Mellon University); Jianheng Tang (Soochow University);
Liang Lin (Sun Yat-sen University)
– Pareto-Optimal Allocation of Indivisible Goods with Connectivity Constraints
Ayumi Igarashi (Kyushu University)*; Dominik Peters (University of Oxford)
– Joint Semi-supervised Feature Selection and Classification Through Bayesian Approach
Bingbing Jiang (School of Computer Science and Technology, University of Science and
Technology of China); Xingyu Wu (University of Science and Technology of China); Kui Yu
(School of Computer and Information, Hefei University of Technology); Huanhuan Chen (School
of Computer Science and Technology, University of Science and Technology of China)*
– RGBD Based Gaze Estimation via Multi-task CNN
Dongze Lian (Shanghaitech University)*; Ziheng Zhang (Shanghaitech University); Weixin Luo
(Shanghaitech University); lina hu (Shanghaitech University); Minye Wu (Shanghaitech
University); Zechao Li (Nanjing University of Science and Technology); Jingyi Yu (Shanghai Tech
University); Shenghua Gao (Shanghaitech University)
– GeniePath: Graph Neural Networks with Adaptive Receptive Paths
Ziqi Liu (Ant Financial)*; Chaochao Chen (Ant Financial); Longfei Li (Ant Financial); Jun Zhou (Ant
Financial); Xiaolong Li (Ant Financial); Le Song (Ant Financial Services Group); Yuan Qi (Ant
Financial Services Group)
– Balanced Linear Contextual Bandits
Maria Dimakopoulou (Stanford University)*; Zhengyuan Zhou (Stanford University); Susan
Athey (Stanford University); Guido Imbens (Stanford University)
– TopicEq: A Joint Topic and Mathematical Equation Model for Scientific Texts
Michihiro Yasunaga (Yale University)*; John D Lafferty (Yale University)
– Induction of Non-Monotonic Logic Programs to Explain Boosted Tree Models Using LIME
Farhad Shakerin (University of Texas at Dallas)*; Gopal Gupta (University of Texas at Dallas)
– Balancing Relevance and Diversity in Online Bipartite Matching via Submodularity
John P Dickerson (University of Maryland); Karthik Abinav Sankararaman (University of
Maryland College Park)*; Aravind Srinivasan (University of Maryland College Park); Pan Xu
(University of Maryland)
– Weakly Supervised Scene Parsing with Point-based Distance Metric Learning
Rui Qian (Peking University)*; Yunchao Wei (UIUC); Honghui Shi (UIUC); Jiachen Li (SJTU);
Jiaying Liu (Peking University); Thomas Huang (UIUC)
– Combining Axiom Injection and Knowledge Base Completion for Efficient Natural
Language Inference
Masashi Yoshikawa (Nara Institute of Science and Technology)*; Koji Mineshima (Ochanomizu
University); Hiroshi Noji (National Institute of Advanced Industrial Science and Technology);
Daisuke Bekki (Ochanomizu University)
– Tile2Vec: Unsupervised representation learning for spatially distributed data
Neal Jean (Stanford University)*; Sherrie Wang (Stanford University); Anshul Samar (Stanford
University); George Azzari (Stanford University); David Lobell (Stanford University); Stefano
Ermon (Stanford University)
– Spell Once, Summon Anywhere: A Two-Level Open-Vocabulary Language Model
Sebastian J Mielke (Johns Hopkins University)*; Jason Eisner (Johns Hopkins University)
– The Pure Price of Anarchy of Pool Block Withholding Attacks in Bitcoin Mining
Colleen Alkalay-Houlihan (University of Toronto)*; Nisarg Shah (U. Toronto)
– Deep Reinforcement Learning for Syntactic Error Repair in Student Programs
Rahul Gupta (Indian Institute of Science)*; Aditya Kanade (Indian Institute of Science); Shirish
Shevade (iisc)
– Switch-based Active Deep Dyna-Q: Efficient Adaptive Planning for Task-Completion
Dialogue Policy Learning
Yuexin Wu (Carnegie Mellon University)*; Xiujun Li (Microsoft); Jingjing Liu (Microsoft); Jianfeng
Gao (Microsoft Research); Yiming Yang (Carnegie Mellon University)
– Recurrent Attention Model for Pedestrian Attribute Recognition
Xin Zhao (Tsinghua University)*; Liufang Sang (Tsinghua University); guiguang ding (Tsinghua
University, China); Jungong Han (Lancaster University); Na Di (Tsinghua University); Chenggang
Yan (Hangzhou Dianzi University)
– Scaling-up Split-Merge MCMC with Locality Sensitive Sampling (LSS)
Chen Luo (Rice University)*; Anshumali Shrivastava (Rice University)
– Efficient Region Embedding with Multi-view Spatial Networks: A Perspective of LocalityConstrained Spatial Autocorrelations
Jiadi a Du (Missouri University of Science and Technology)*; Pengyang Wang (Missouri
University of Science and Technology); Le Wu (HeFei University of Technology); Xiaolin Li
(Nanjing University); Yanjie Fu (Missouri University of Science and Technology)
– Combo-Action: Training Agent For FPS Game with Auxiliary Tasks
Shiyu Huang (Tsinghua University)*; Hang Su (Tsinghua Univiersity); Tim Chen (Tsinghua
University); Jun Zhu (Tsinghua University)
– Robust Metric Learning on Grassmann Manifolds with Generalization Guarantees
Lei Luo (University of Pittsburgh)*; Jie Xu (University of Pittsburgh); Heng Huang (University of
Pittsburgh)
– Functional Connectivity Network Analysis with Discriminative Hub Detection for Brain
Disease Identification
Mingliang Wang (Nanjing University of Aeronautics and Astronautics)*; Jiashuang Huang
(Nanjing University of Aeronautics and Astronautics); Mingxia Liu (Nanjing University of
Aeronautics and Astronautics); Daoqiang Zhang (Nanjing University of Aeronautics and
Astronautics, China)
– Exploiting Coarse-to-Fine Task Transfer for Aspect-level Sentiment Classification
Zheng Li (Hong Kong University of Science and Technology)*; Ying Wei (Tencent AI Lab); Yu
Zhang (HKUST); Xiang Zhang (Hong Kong University of Science and Technology); Xin Li (The
Chinese University of Hong Kong)
– Feature Sampling based Unsupervised Semantic Clustering for Real Web Multi-view
Content
Xiaolong Gong (Shanghai Jiao Tong University)*; Linpeng Huang (Shanghai Jiao Tong University);
Fuwei Wang (Shanghai Jiao Tong University)
– Virtual-Taobao: Virtualizing Real-world Online Retail Environment for Reinforcement
Learning
Jing-Cheng Shi (Nanjing University; Alibaba Group)*; Yang Yu (Nanjing University); Qing Da
(Alibaba Group); Shi-Yong Chen (Nanjing University; Alibaba Group); An-Xiang Zeng (Alibaba)
– Cycle-SUM: Cycle-consistent Adversarial LSTM Networks for Unsupervised Video
Summarization
Li Yuan (National University of Singapore)*; Ping Li (Hangzhou Dianzi University); Jiashi Feng
(NUS); Li Zhou (National University of Singapore); Francis EH Tay (National University of
Singapore)
– A Dual Attention Network with Semantic Embedding for Few-shot Learning
Songyang Zhang (ShanghaiTech University)*; Shipeng Yan (ShanghaiTech University); Xuming
He (ShanghaiTech University)
– An Axiomatic Approach to Rationality for Reinforcement Learning Agents
Silviu Pitis (University of Toronto)*
– Heterogeneous Transfer Learning via Deep Matrix Completion with Adversarial Kernel
Embedding
Haoliang Li (Nanyang Technological University)*; Sinno Pan (NTU, Singapore); Renjie Wan
(Nanyang Technological University); Alex Kot (Nanyang Technological University)
– Hierarchical Attention Network for Image Captioning
Weixuan Wang (School of Electronic and Information Engineering, Sun Yat-sen University);
Zhihong Chen (School of Electronic and Information Engineering, Sun Yat-sen University);
Haifeng Hu (School of Electronic and Information Engineering, Sun Yat-sen University)*
– Bootstrap Estimated Uncertainty of the Environment Model for Model-based
Reinforcement Learning
Wenzhen Huang (Institute of Automation，Chinese Academy of Sciences)*; 张 俊格 (中科院自
动化所); KAIQI HUANG (Chinese Academy of Sciences, China)
– Real-time Planning as Decision-making Under Uncertainty
Andrew J Mitchell (University of New Hampshire); Wheeler Ruml (University of New
Hampshire)*; Fabian Spaniol (Saarland University); Joerg Hoffmann (Saarland University);
Marek Petrik (University of New Hampshire)
– Adversarial Label Learning
Chidubem G Arachie (Virginia Tech)*; Bert Huang (Virginia Tech)
– Temporal anomaly detection: calibrating the surprise
Eyal Gutflaish (Ben-Gurion University)*; aryeh Kontorovich (Ben-Gurion University); ofer Biller
(IBM); Oded Sofer (IBM); Sivan Sabato (Ben-Gurion Universtiy of the Negev)
– RSA: Byzantine-Robust Stochastic Aggregation Methods for Distributed Learning from
Heterogeneous Datasets
Liping Li (University of Science and Technology of China); Wei Xu (University of Science and
Technology of China); Tianyi Chen (University of Minnesota); Georgios B. Giannakis (University
of Minnesota); Qing Ling (Sun Yat-Sen University)*
– Predicting Hurricane Trajectories using a Recurrent Neural Network
Sheila Alemany (Florida International University); Jonathan Beltran (Florida International
University); Adrian Perez (Florida International University); Sam Ganzfried (Ganzfried
Research)*
– Diverse Exploration via Conjugate Policies for Policy Gradient Methods
Andrew Cohen (Binghamton University)*; Xingye Qiao (Binghamton University); Lei Yu
(Binghamton University); Elliot E Way (Binghamton University); Xiangrong Tong (Yantai
University)
– The Goldilocks zone: Towards better understanding of neural network loss landscapes
Stanislav Fort (Stanford University)*; Adam Scherlis (Stanford University)
– Learning to Compose Topic-Aware Mixture of Experts for Zero-Shot Video Captioning
Xin Wang (University of California, Santa Barbara)*; Jiawei Wu (University of California, Santa
Barbara); Da Zhang (UC Santa Barbara); Yu Su (OSU); William Wang (UC Santa Barbara)
– Bayesian posterior approximation via greedy particle optimization
Futoshi Futami (UTokyo / RIKEN)*; Zhenghang Cui (The University of Tokyo / RIKEN); Issei Sato
(The university of Tokyo/RIKEN); Masashi Sugiyama (RIKEN/The University of Tokyo)
– ActivityNet-QA: A Dataset for Understanding Complex Web Videos via Question
Answering
Zhou Yu (Hangzhou Dianzi University)*; Dejing Xu (Zhejiang University); Jun Yu (HDU); Ting Yu
(Hangzhou Dianzi University); Zhou Zhao (Zhejiang University); Yueting Zhuang (Zhejiang
University); Dacheng Tao (University of Sydney)
– Gaussian Transformer: a Lightweight Approach for Natural Language Inference
Maosheng Guo (Harbin Institute of Technology)*; Yu Zhang (Harbin Institute of Technology);
Ting Liu (哈尔滨工业大学)
– Knowledge Distillation with Adversarial Samples Supporting Decision Boundary
Byeongho Heo (Seoul National University)*; Minsik Lee (Hanyang University); Sangdoo Yun (
Clova AI Research, NAVER Corp.); Jin Young Choi (Seoul National University)
– Less but Better: Generalization Enhancement of Ordinal Embedding via Distributional
Margin
Ke Ma (Institute of Information Engineering，Chinese Academy of Sciences); Qianqian Xu (Key
Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese
Academy of Sciences); Zhiyong Yang (SKLOIS, Institute of Information Engineering, Chinese
Academy of Sciences; SCS, University of Chinese Academy of Sciences); Xiaochun Cao (Chinese
Academy of Sciences)*
– TET-GAN: Text Effects Transfer via Stylization and Destylization
Shuai Yang ( Peking University)*; Jiaying Liu (Peking University); Wenjing Wang (Peking
University); Zongming Guo (Peking University)
– Randomized Wagering Mechanisms
Yiling Chen (Harvard University); Yang Liu (UC Santa Cruz/Harvard University)*; Juntao Wang
(Harvard University)
– Hypergraph Neural Networks
Yifan Feng (Xiamen University)*; Haoxuan You (Tsinghua University); Zizhao Zhang (Tsinghua
University); Rongrong Ji (Xiamen University, China); Yue Gao (Tsinghua University)
– Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons
Byeongho Heo (Seoul National University)*; Minsik Lee (Hanyang University); Sangdoo Yun (
Clova AI Research, NAVER Corp.); Jin Young Choi (Seoul National University)
– Cognitive Deficit of Deep Learning in Numerosity
Xiaolin Wu (McMaster Univ; Shanghai Jiao Tong Univ.)*; Xi Zhang (Shanghai Jiao Tong
University); Xiao Shu (McMaster University; Shanghai Jiao Tong University)
– Online Pandora’s Boxes and Bandits
Hossein Esfandiari (Google Research)*; MohammadTaghi Hajiaghayi (University of Maryland);
Brendan Lucier (Microsoft Research New England); Michael Mitzenmacher (Harvard)
– Fast Incremental SVDD Learning Algorithm with the Gaussian Kernel
Hansi Jiang (SAS Institute Inc.)*; Haoyu Wang (sas institute inc); Wenhao Hu (SAS Institute Inc.);
Deovrat Kakde (SAS Institute Inc.); Arin Chaudhuri (SAS Institute Inc.)
– Projection Convolutional Neural Networks
Jiaxin Gu (Beihang University); Ce Li (China University of Mining and Technology， Beijing);
Baochang Zhang (Beihang University)*; Jianzhuang Liu (Noah’s Ark Lab, Huawei Technologies
Company, Ltd., China); David Doermann (University at Buffalo); Xianbin Cao (Beihang
University, China); Jungong Han (Lancaster University)
– StNet: Local and Global Spatial-Temporal Modeling for Action Recognition
Dongliang He (Baidu); Zhichao Zhou (Baidu); Chuang Gan (MIT); Fu Li (Baidu); Xiao Liu (Baidu
Research); Yandong Li (University of Central Florida); Limin Wang (Nanjing University)*; Shilei
Wen (Baidu Research)
– Mutigrid Backprojection Super-Resolution and Deep Filter Visualization
Pablo Navarrete Michelini (BOE Technology Group Co., Ltd.)*; Hanwen Liu (BOE Technology
Group Co., Ltd.); Dan Zhu (BOE Technology Group Co., Ltd.)
– Capacity Control of ReLU Neural Networks by Basis-path Norm
Shuxin Zheng (USTC)*; Qi Meng (Microsoft); Huishuai Zhang (Microsoft Research Asia); Wei
Chen (Microsoft); Nenghai Yu (University of Science and Technology of China); Tie-Yan Liu
(Microsoft)
– 3D Volumetric Modeling with Introspective Neural Networks
Wenlong Huang (UC San Diego)*; Brian Lai (UC San Diego); Weijian Xu (UC San Diego); Zhuowen
Tu (UC San Diego)
– Point Cloud Processing via Recurrent Set Encoding
Pengxiang Wu (Computer Science, Rutgers)*; Chao Chen (Stony Brook University); Jingru Yi
(Computer Science, Rutgers); Dimitris Metaxas (Rutgers)
– When Do Envy-Free Allocations Exist?
Pasin Manurangsi (UC Berkeley); Warut Suksompong (Stanford)*
– Stochastic Submodular Maximization with Performance-Dependent Item Costs
Takuro Fukunaga (RIKEN AIP, JST PRESTO)*; Takuya Konishi (NII); Sumio Fujita (Yahoo Japan
Corporation); Ken-ichi Kawarabayashi (National Institute of Informatics)
– Learning Personalized End-to-End Goal-Oriented Dialog
Liangchen Luo (Peking University)*; Wenhao Huang (Shanghai Discovering Investment); Qi Zeng
(Peking University); Xu Sun (Peking University); Zaiqing Nie (Alibaba)
– Adaptive Region Embedding for Text Classification
Liuyu Xiang (Tsinghua University)*; Xiaoming Jin (Tsinghua University); Lan Yi (Cisco); guiguang
ding (Tsinghua University, China)
– Soft Facial Landmark Detection by Label Distribution Learning
Kai Su (Southeast University)*; Xin Geng (Southeast University)
– Constrained Generation via Metropolis-Hastings Sampling
Ning Miao (Peking University)*; Hao Zhou (Bytedance); Lili Mou (AdeptMind Inc.); Rui Yan
(Peking University); Lei Li (Bytedance)
– LiveBot: Generating Live Video Comments Based on Visual and Textual Contexts
Shuming Ma (Peking University)*; Lei Cui (Microsoft Research Asia); Damai Dai (Peking
University); Furu Wei (Microsoft Research Asia); Xu Sun (Peking University)
– Simulation-Based Approach to Efficient Commonsense Reasoning in Very Large
Knowledge Bases
Abhishek Sharma (Cycorp, Inc.)*; Keith Goolsbey (Cycorp, Inc.)
– On Fair Cost Sharing Games in Machine Learning
Ievgen Redko (Laboratoire Hubert Curien); Charlotte Laclau (Laboratoire Hubert Curien)*
– DAN : Deep Attention Neural Network for News Recommendation
Qiannan Zhu (University of Chinese Academy of Sciences, School of Cyber Security & Institute of
Information Engineering,Chinese Academy of Sciences); Xiaofei Zhou (Institute of Information
Engineering, Chinese Academy of Sciences)*; Zeliang Song (Institute of Information Engineering,
Chinese Academy of Sciences &University of Chinese Academy of Sciences, School of Cyber
Security ); Jianlong Tan (Institute of Information Engineering, Chinese Academy of Sciences
&University of Chinese Academy of Sciences, School of Cyber Security); Li Guo ()
– Kernelized Hashcode Representations for Biomedical Relation Extraction
Sahil Garg (USC)*; Aram Galstyan (USC Information Sciences Institute); Greg Ver Steeg (USC
Information Sciences Institute); Irina Rish (IBM Research); Guillermo Cecchi (IBM); Shuyang Gao
(ISI USC)
– TAPAS: Train-less Accuracy Predictor forArchitecture Search
Roxana Istrate (IBM Research --Zurich)*; Florian Scheidegger (IBM Research – Zurich); Giovanni
Mariani (IBM Research - Zurich); Dimitrios Nikolopoulos (Queens University of Belfast); Costas
Bekas (IBM Research); A. Cristiano I. Malossi (IBM Research - Zurich)
– Densely Supervised Grasp Detector (DSGD)
Umar Asif (IBM Research)*; Jianbin Tang (IBM Research); Stefan Harrer (IBM Research)
– Outlier Aware Network Embedding for Attributed Networks
Sambaran Bandyopadhyay (IBM Research)*; Lokesh N (Indian Institute of Science); M
Narasimha Murty (Indian Institute of Science)
– Human Action Transfer Based on 3D Model Reconstruction
shanyan Guan (Shanghai JiaoTong University)*; Dexin Yang (Shanghai Jiao Tong University);
SHUO WEN (Shanghai Jiao Tong University); Bingbing Ni (Shanghai Jiao Tong University);
Wendong Zhang (Shanghai Jiao Tong University); Jun Tang (Shanghai Jiao Tong University);
Xiaokang Yang (Shanghai Jiao Tong University of China)
– Classification with Costly Features using Deep Reinforcement Learning
Jaromír Janisch (Czech Technical University in Prague)*; Viliam Lisý (); Tomáš Pevný ()
– Scene Text Detection with Supervised Pyramid Context Network
Enze Xie (Tongji University)*; Yuhang Zang (University of Electronic Science and Technology of
China); Shuai Shao (Megvii(Face++)); Gang Yu (Face++); Cong Yao (Megvii); Guangyao Li (Tongji
University)
– TDSNN:From Deep Neural Networks to Deep Spike Neural Networks with Temporalcoding
Lei Zhang (Institute of Computing Technology of the Chinese Academy of Sciences;University of
Chinese Academy of Sciences; Cambricon Tech. Ltd)*; Shengyuan Zhou (Institute of Computing
Technology of the Chinese Academy of Sciences;University of Chinese Academy of Sciences;
Cambricon Tech. Ltd); Tian Zhi (Institute of Computing Technology of the Chinese Academy of
Sciences); Du Zidong (institute of Computing Technology of the Chinese Academy of Sciences);
Yunji Chen (Institute of Computing Technology, Chinese Academy of Sciences)
– Verifying Robustness of Gradient Boosting Models
Itai Segall (Nokia Bell Labs)*; Yaniv Saar (Nokia Bell Labs); Maayan Goldstein (Nokia Bell Labs);
Gil Einziger (Nokia Bell Labs)
– On Structural Causal Bandit with Non-manipulable Variables
Sanghack Lee (Purdue University)*; Elias Bareinboim (Purdue University)
– BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual
Relationship Detection
Hedi Ben-younes (Sorbonne université)*; Remi Cadene (LIP6); Matthieu Cord (Sorbonne
University); Nicolas Thome (CNAM, Paris)
– Gradient Harmonized Single-stage Detector
Buyu LI (The Chinese University of Hong Kong)*; Yu Liu (The Chinese University of Hong Kong);
Xiaogang Wang (Chinese University of Hong Kong, Hong Kong)
– Non-Local Context Encoder: Robust Biomedical Image Segmentation against Adversarial
Attacks
Xiang He (Sun Yat-sen University); Sibei Yang (The University of Hong Kong); Guanbin Li (Sun
Yat-sen University)*; Haofeng Li (The University of Hong Kong); Huiyou Chang (Sun Yat-sen
University); Yizhou Yu (Deepwise AI Lab & HKU)
– A Two-Stream Mutual Attention Network for Semi-supervised Biomedical Segmentation
with Noisy Labels
Shaobo Min (University of Science and Technology of China); Xuejin Chen (University of Science
and Technology of China)*; Zheng-Jun Zha (University of Science and Technology of China);
Feng Wu (University of Science and Technology of China); Yongdong Zhang (University of
Science and Technology of China)
– Block Belief Propagation for Parameter Learning in Markov Random Fields
You Lu (Computer Science Department, Virginia Tech)*; Zhiyuan Liu (University of Colorado
Boulder); Bert Huang (Virginia Tech)
– Structured and Sparse Annotations for Image Emotion Distribution Learning
Haitao Xiong (Beijing Technology and Business University)*; Hongfu Liu (Northeastern
University, USA); Bineng Zhong (Huaqiao University); YUN FU (Northeastern University)
– Deep Reinforcement Learning for Green Security Games with Real-Time Information
Yufei Wang (Peking University)*; Zheyuan Ryan Shi (Carnegie Mellon University); Lantao Yu
(Stanford University); Yi Wu (UC Berkeley); Rohit Singh (World Wide Fund for Nature); Lucas
Joppa (Microsoft Research); Fei Fang (Carnegie Mellon)
– Variance Reduction in Monte Carlo Regret Minimization for Extensive Games using
Baselines
Martin Schmid (DeepMind)*; Matej Moravcik (DeepMInd); Neil Burch (DeepMind); Marc
Lanctot (Deepmind); Rudolf Kadlec (Google DeepMind); Michael Bowling (DeepMind)
– Model-Free IRL using Maximum Likelihood Estimation
Vinamra Jain (The University of Georgia); Prashant Doshi (University of Georgia); Bikramjit
Banerjee (University of Southern Mississippi)*
– Self-Supervised Video Representation Learning with Space-Time Cubic Puzzles
Dahun Kim (KAIST)*; Donghyeon Cho (KAIST); In So Kweon (KAIST)
– Partial Awareness
Evan Piermont (Royal Holloway, University of London)*; Joe Halpern ()
– Memory Bounded Open-Loop Planning in Large POMDPs using Thompson Sampling
Thomy Phan (LMU Munich)*; Lenz Belzner (MaibornWolff ); Marie Kiermeier (LMU Munich);
Markus Friedrich (LMU Munich); Kyrill Schmid (LMU Munich); Claudia Linnhoff-Popien (Virality
GmbH)
– Finding All Bayesian Network Structures within a Factor of Optimal
Zhenyu A. Liao (University of Waterloo); Charupriya Sharma (University of Waterloo); James
Cussens (University of York); Peter van Beek (University of Waterloo)*
– Verification of RNN-Based Neural Agent-Environment Systems
Michael Akintunde (Imperial College London); Andreea Kevorchian (Imperial College London);
Alessio Lomuscio (Imperial College London)*; Edoardo Pirovano (Imperial College London)
– ColNet: Embedding the Semantics of Web Tables for Column Type Prediction
Jiaoyan Chen (University of Oxford)*; Ernesto Jimenez-Ruiz (Alan Turing Institute ); Ian Horrocks
(University of Athens ); Charles Sutton (University of Edinburgh)
– Estimating the Causal Effect from Partially Observed Time Series
Akane Iseki (the University of Tokyo)*; Yusuke Mukuta (The University of Tokyo); Tatsuya
Harada (The University of Tokyo); Yoshitaka Ushiku (The University of Tokyo)
– Understanding Learned Models by Identifying Important Features at the Right Resolution
Akshay Sood (University of Wisconsin-Madison); Mark Craven (University of WisconsinMadison); Kyubin Lee (University of Wisconsin-Madison)*
– Graph Convolutional Networks for Text Classification
Liang Yao (NORTHWESTERN UNIVERSITY)*; Chengsheng Mao (Northwestern University); Yuan
Luo (“Northwestern University, IL”)
– Distribution Consistency based Covariance Metric Networks for Few Shot Learning
Wenbin Li (Nanjing University)*; Jinglin Xu (Northwestern Polytechnical University); Jing Huo
(Nanjing University); Lei Wang (“University of Wollongong, Australia”); Yang Gao (Nanjing
University); Jiebo Luo (U. Rochester)
– Group Decision Diagram (GDD): A Compact Representation for Permutations
Takanori Maehara (RIKEN AIP)*; Yuma Inoue (Google)
– DoPAMINE: Double-sided Masked CNN for Pixel Adaptive Multiplicative Noise
Despeckling
Sunghwan Joo (Sungkyunkwan University); Sungmin Cha (Sungkyunkwan University); Taesup
Moon (Sungkyunkwan University)*
– Modeling Coherence for Discourse Neural Machine Translation
Hao Xiong (Baidu)*; Zhongjun He (Baidu); Hua Wu (Baidu, Inc.); Haifeng Wang (Baidu)
– MR-NET: Exploiting Mutual Relation for Visual Relationship Detection
Yi Bin (University of Electronic Science and Technology of China)*; Chaofan Tao (Center for
Future Media, University of Electronic Science and Technology of China); Yang Yang (University
of Electronic Science and Technology of China); Zi Huang (University of Queensland); Jingjing Li
(University of Electronic Science and Technology of China); Heng Tao Shen (University of
Electronic Science and Technology of China (UESTC))
– Deeply Fusing Reviews and Contents for Cold Start Users in Cross-Domain
Recommendation System
Wenjing Fu (Shandong University)*; Zhaohui Peng (Shandong University); Senzhang Wang
(Nanjing University of Aeronautics and Astronautics); yang xu (Shandong University); Jin Li
(ljin@mail.sdu.edu.cn)
– Transferable Attention for Domain Adaptation
Ximei Wang (Tsinghua University); Liang Li (School of Software, Tsinghua University); Weirui Ye
(Tsinghua University); Mingsheng Long (Tsinghua University)*; Jianmin Wang (“Tsinghua
University, China”)
– Selecting Compliant Agents for Opt-in Micro-Tolling
Josiah Hanna (UT Austin)*; Guni Sharon (Texas A&M University); Peter Stone ((organization));
Stephan Boyles (UT Austin)
– Non-Autoregressive Neural Machine Translation with Enhanced Decoder Input
Junliang Guo (USTC)*; Xu Tan (Microsoft Research); Di He (Peking University); Tao Qin
(Microsoft Research Asia); Linli Xu (University of Science and Technology China); Tieyan Liu ()
– Towards Sentence-Level Brain Decoding with Distributed Representations
Jingyuan Sun (Institute of Automation, Chinese Academy of Sciences)*; Shaonan Wang (CASIA);
Jiajun Zhang (Institute of Automation Chinese Academy of Sciences); Chengqing Zong (“Institute
of Automation, Chinese Academy of Sciences”)
– A Human-like Semantic Cognition Network for Aspect-level Sentiment Classification
Zeyang Lei (Tsinghua university)*; Yujiu Yang (Tsinghua Univ.); Min Yang (The University of
Hong Kong); Wei Zhao (Tecent); Jun Guo (Tsinghua University); Yi Liu (Peking University
Shenzhen Institute)
– Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation
for Medical Image Segmentation
Cheng Chen (The Chinese University of Hong Kong)*; Qi Dou (The Chinese University of Hong
Kong); Hao Chen (The Chinese University of Hong Kong); Jing Qin (The Hong Kong Polytechnic
University); Pheng-Ann Heng (The Chinese Univsersity of Hong Kong)
– A Unified Approach to Online Matching with Conflict-Aware Constraints
Pan Xu (University of Maryland)*; Yexuan Shi (Beihang University); Hao Cheng (Beihang
University); John P Dickerson (University of Maryland); Karthik Abinav Sankararaman
(University of Maryland College Park); Aravind Srinivasan (University of Maryland College Park);
Yongxin Tong (Beihang University); Leonidas Tsepenekas (University of Maryland)
– A Generic Approach for Accelerating Belief Propagation based DCOP Algorithms via A
Branch-and-Bound Technique
Ziyu Chen (Chongqing University)*; Xingqiong Jiang (Chongqing University); Yanchen Deng
(Chongqing University); Dingding Chen (Chongqing University); Zhongshi He (Chongqing
University)
– Non-ergodic Convergence Analysis of Heavy-Ball Algorithms
Tao Sun (National U. of Defense Tech.)*; Penghang Yin (UCLA); Dongsheng Li (School of
Computer Science, National University of Defense Technology); Chun Huang (NUDT); Lei Guan
(National U. of Defense Tech.); Hao Jiang (National University of Defense Technology)
– Joint Dynamic Pose Image and Space Time Reversal for Human Action Recognition from
Videos
Mengyuan Liu (Nanyang Technological University)*; Fanyang Meng (key Laboratory of Machine
Perception, Peking University, Shenzhen Graduate School); Chen Chen (University of North
Carolina at Charlotte); Songtao Wu (College of Computer Science and Software Engineering,
Shenzhen University)
– Training Deep Neural Networks in Generations: A More Tolerant Teacher Educates Better
Students
Chenglin Yang (Johns Hopkins University); Lingxi Xie (Johns Hopkins University)*; Siyuan Qiao
(Johns Hopkins University); Alan Yuille (Johns Hopkins University)
– Read + Verify: Machine Reading Comprehension with Unanswerable Questions
Minghao Hu (National University of Defense Technology)*; Furu Wei (Microsoft Research Asia);
Yuxing Peng (National University of Defense Technology); Zhen Huang (National Laboratory for
Parallel and Distributed Processing, National University of Defense
Technology,Changsha,Hunan); Nan Yang (Microsoft Research Asia); Dongsheng Li (School of
Computer Science, National University of Defense Technology)
– Forming Probably Stable Communities with Limited Interactions
Ayumi Igarashi (Kyushu University)*; Jakub Sliwinski (ETH Zurich); Yair Zick (National University
of Singapore)
– From Zero-Shot Learning to Cold-Start Recommendation
Jingjing Li (University of Electronic Science and Technology of China)*; Mengmeng Jing
(University of Electronic Science and Technology of China); Ke Lu (University of Electronic
Science and Technology of China); Lei Zhu (Shandong Normal Unversity); Yang Yang (University
of Electronic Science and Technology of China); Zi Huang (University of Queensland)
– Detect or Track: Towards Cost-Effective Video Object Detection/Tracking
Hao Luo (Huazhong Univ. of Science and Technology); Wenxuan Xie (Microsoft Research Asia)*;
Xinggang Wang (Huazhong Univ. of Science and Technology); Wenjun Zeng (Microsoft
Research)
– Segregated Temporal Assembly Recurrent Networks for Weakly Supervised Multiple
Action Detection
Yunlu Xu (Hikvision Research Institute)*; Chengwei Zhang (Shanghai Jiaotong University);
Zhanzhan Cheng (Hikvision Research Institute); Jianwen Xie (Hikvision); Yi Niu (Hikvision
Research Institute); Shiliang Pu (Hikvision Research Institute); Fei Wu (Zhejiang University)
– Response Generation by Context-aware Prototype Editing
Yu Wu (Beihang)*; Furu Wei (Microsoft Research Asia); Shaohan Huang (Microsoft Research
Asia); Yunli Wang (Beihang University); Ming Zhou (Microsoft Research); Zhoujun Li (Beihang
University)
– Explicit Interaction Model towards Text Classification
Cunxiao Du (Shandong University); Fuli Feng (National University of Singapore); Zhaozheng
Chen (Shandong University); Lei Zhu (Shandong Normal Unversity); Tian Gan (Shandong
University)*; Liqiang Nie (Shandong University )
– A Theoretically Guaranteed Deep Optimization Framework for Robust Compressive
Sensing MRI
Risheng Liu (Dalian University of Technology)*; Yuxi Zhang (Dalian University of Technology);
Shichao Cheng (Dalian University of Technology); Xin Fan (Dalian University of Technology);
Zhongxuan Luo (DALIAN UNIVERSITY OF TECHNOLOGY)
– Dictionary-Guided Editing Networks for Paraphrase Generation
Shaohan Huang (Microsoft Research Asia)*; Yu Wu (Beihang); Furu Wei (Microsoft Research
Asia); Zhongzhi Luan (Beihang University )
– Unsupervised Transfer Learning for Spoken Language Understanding in Intelligent Agents
Aditya Siddhant (Carnegie Mellon University)*; Anuj Kumar Goyal (Amazon); Angeliki
Metallinou (Amazon)
– M2Det: A Single-Shot Object detector based on Multi-Level Feature Pyramid Network
Qijie Zhao (Peking University); Tao Sheng (Peking University); Yongtao Wang (Peking
University)*; Zhi Tang (Peking University); Ling Cai (Alibaba AI Lab); Ying Chen (Alibaba AI Lab);
Haibin Ling (Temple University)
– Leveraging observations in bandits: Between risks and benefits
Andrei Lupu (McGill University)*; Audrey Durand (McGill University); Doina Precup (McGill
University)
– Two-Stage Label Embedding via Neural Factorization Machine for MultiLabel
Classification
Chen Chen (Zhejiang University)*; Haobo Wang (Zhejiang University); Weiwei Liu (University of
New South Wales); Xingyuan Zhao (Zhejiang University); Tianlei Hu (Zhejiang University); Gang
Chen (Zhejiang University)
– Towards Highly Accurate and Stable Face Alignment for High-Resolution Videos
Ying Tai (Tencent)*; Yicong Liang (Tencent); Xiaoming Liu (Michigan State University); Lei Duan
(Fudan University); Jilin Li (Tencent); Chengjie Wang (Tencent); Feiyue Huang (Tencent); Yu
Chen (Nanjing University of Science and Technology)
– Backbone Can Not be Trained at Once: Rolling Back to Pre-trained Network for Person
Re-Identification
Youngmin Ro (Seoul National University)*; Jongwon Choi (Samsung SDS); Dae Ung Jo (Seoul
National University); Byeongho Heo (Seoul National University); Jongin Lim (Seoul National
University); Jin Young Choi (Seoul National University)
– Super Sparse Convolutional Neural Networks
Yao Lu ( Harbin Institute of Technology (Shenzhen), Shenzhen); Guangming Lu ( Harbin Institute
of Technology (Shenzhen), Shenzhen)*; Bob Zhang (University of Macau); Yuanrong Xu ( Harbin
Institute of Technology (Shenzhen), Shenzhen); Jinxing Li (Hong Kong Polytechnic University)
– Discriminative Feature Learning for Unsupervised Video Summarization
Yunjae Jung (KAIST)*; Donghyeon Cho (KAIST); Dahun Kim (KAIST); Sanghyun Woo (KAIST); In So
Kweon (KAIST, Korea)
– SVM-based Deep Stacking Networks
Jingyuan Wang (Beihang University)*; Kai Feng (Beihang Unversity); Junjie Wu (Beihang
University)
– View Inter-Prediction GAN: Unsupervised Representation Learning for 3D Shapes by
Learning Global Shape Memories to Support Local View Predictions
Zhizhong Han (University of Maryland, College Park); Mingyang Shang (Tsinghua University); YuShen Liu (Tsinghua University)*; Matthias Zwicker (University of Maryland)
– MeshNet: Mesh Neural Network for 3D Shape Representation
Yutong Feng (Tsinghua University)*; Yifan Feng (Xiamen University); Haoxuan You (Tsinghua
University); Xibin Zhao (Tsinghua University); Yue Gao (Tsinghua University)
– Clipped Matrix Completion: a Remedy for Ceiling Effects
Takeshi Teshima (The University of Tokyo)*; Miao Xu (RIKEN); Issei Sato (The university of
Tokyo/RIKEN); Masashi Sugiyama (RIKEN/The University of Tokyo)
– Cousin Network Guided Sketch Recognition via Latent Attribute Warehouse
Kaihao Zhang (Australian National University)*; Wenhan Luo (Tencent AI Lab); Lin Ma (Tencent
AI Lab); HONGDONG LI (Australian National University, Australia)
– The Complexity of Computing Fair Knapsack
Till Fluschnik (TU Berlin)*; Skowron Piotr (University of Warsaw); Mervin Triphaus (TU Berlin);
Kai Wilker (TU Berlin)
– Balanced Sparsity for Efficient DNN Inference on GPU
Zhuliang Yao (Tsinghua University)*; Shijie Cao (Harbin Institute of Technology); Wencong Xiao
(Beihang University); Lanshun Nie (Harbin Institute of Technology); Chen Zhang (Microsoft
Research)
– A Two-Individual Based Evolutionary Algorithm for the Flexible Job Shop Scheduling
Problem
Junwen Ding (Huazhong University of Science and Technology)*; Zhipeng Lü (School of
Computer Science and Technology, Huazhong University of Science and Technology); Chumin Li
(Université de Picardie Jules Verne); Liji Shen (WHU - Otto Beisheim School of Management);
Liping Xu (School of Computer Science and Technology, Huazhong University of Science and
Technology); Fred Glover (University of Colorado)
– Re2EMA: Regularized and Reinitialized Exponential Moving Average for Target Model
Update in Object Tracking
Jianglei Huang (University of Science and Technology of China )*; Wengang Zhou (University of
Science and Technology of China)
– On Rational Delegations in Liquid Democracy
Daan Bloembergen (Centrum Wiskunde & Informatica)*; Grossi Davide (Universiteit van
Groningen); Lackner Martin (Technische Universität Wien)
– Probabilistic Model Checking of Robots Deployed in Extreme Environments
Xingyu Zhao (Heriot-Watt University)*; Valentin Robu (Heriot-Watt University); David Flynn
(Heriot-Watt University); Fateme Dinmohammadi (Heriot-Watt University); Michael Fisher
(University of Liverpool); Matt Webster (University of Liverpool)
– Joint Representation Learning for Multi-Modal Transportation Recommendation
Hao LIU (Business Intelligence Lab, Baidu Research)*; Ting Li (School of Computer
Science, National University of Defense Technology, Changsha, China); Renjun Hu (Beihang
University); Yanjie Fu (Missouri University of Science and Technology); Hui Xiong (Rutgers
University); Jingjing Gu (Nanjing University of Aeronautics and Astronautics)
– Active Preference Elicitation based on Generalized Gini Functions: Application to the
Multiagent Knapsack Problem
Nadjet Bourdache (LIP6); Patrice Perny (Sorbonne University)*
– Recurrent Stacking of Layers for Compact Neural Machine Translation Models
Raj Dabre (NICT)*; Atsushi Fujita (NICT, Japan)
– Dynamic Compositionality in Recursive Neural Networks with Structure-aware Tag
Representations
Taeuk Kim (Seoul National University)*; Jihun Choi (Seoul National University); Dainel Edmiston
(University of Chicago); Sanghwan Bae (Seoul National University); Sang-goo Lee (Seoul
National University)
– Memory-Augmented Temporal Dynamic Learning for Action Recognition
Yuan Yuan (Northwestern Polytechnical University); Dong Wang (Northwestern Polytechnical
University); Qi Wang (Northwestern Polytechnical University)*
– Calibrated Stochastic Gradient Descent for Convolutional Neural Networks
Li’an Zhuo (Beihang University); Baochang Zhang (Beihang University); Chen Chen (University of
North Carolina at Charlotte)*; David Doermann (University at Buffalo); Jianzhuang Liu (Noah’s
Ark Lab, Huawei Technologies Company, Ltd., China); Qixiang Ye (University of Chinese
Academy of Sciences, China)
– Video Object Detection with Locally-Weighted Deformable Neighbors
Zhengkai Jiang (Institute of Automation，Chinese Academy of Sciences)*; gao peng (Chinese
university of hong kong); Chaoxu Guo (Institute of Automation, Chinese Academy of Sciences);
Qian Zhang (Horizon Robotics); SHIMING XIANG (Chinese Academy of Sciences, China);
Chunhong Pan (Institute of Automation, Chinese Academy of Sciences)
– Fair Division with a Secretive Agent
Eshwar Ram Arunachaleswaran (Indian Institute of Science); Siddharth Barman (Indian Institute
of Science); Nidhi Rathi (Indian Institute of Science)*
– Play As You Like: Timbre-Enhanced Multi-modal Music Style Transfer
Chien-Yu Lu (National Tsing Hua University); Min-Xin Xue (National Tsing Hua University); ChiaChe Chang (National Tsing Hua University); Che-Rung Lee (National Tsing Hua University ); Li Su
(Academia Sinica)*
– Temporal Deformable Convolutional Encoder-Decoder Networks for Video Captioning
Jingwen Chen (Sun Yat-set University); Yingwei Pan (JD AI Research)*; Yehao Li (Sun Yat-Sen
University); Ting Yao (JD AI Research); Hongyang Chao (Sun Yat-sen University); Tao Mei (AI
Research of JD.com)
– Visual-semantic Graph Reasoning for Pedestrian Attribute Recognition
Qiaozhe Li (Chinese Academy of Sciences)*; Xin Zhao (Institute of Automation, Chinese
Academy of Sciences); Ran He (Institute of Automation, Chinese Academy of Sciences); KAIQI
HUANG (Chinese Academy of Sciences, China)
– Semantic Relationships Guided Representation Learning for Facial Action Unit
Recognition
Guanbin Li (Sun Yat-sen University)*; Xin Zhu (Sun Yat-sen University); Yirui Zeng (Sun Yat-sen
University); Qing Wang (Sun Yat-sen University); Liang Lin (Sun Yat-sen University)
– Connecting the Digital and Physical World: Improving the Robustness of Adversarial
Attacks
Steve T K Jan (Virginia Tech); Joseph Messou (Virginia Tech); Yen-Chen Lin (National Tsing Hua
University); Jia-Bin Huang (Virginia Tech); Gang Wang (Virginia Tech)*
– Abstracting Causal Models
Sander Beckers (Utrecht University)*; Joe Halpern ()
– Trainable Undersampling for Class-Imbalance Learning
Minlong Peng (Fudan University)*; Qi Zhang (Fudan University); Xiaoyu Xing (Fudan University);
Tao Gui (Fudan University); Xuanjing Huang (" Fudan University, China"); Yu-Gang Jiang (Fudan
University); Keyu Ding (iFLYTEK CO., LTD); Zhigang Chen (iFLYTEK CO., LTD)
– On Limited Conjunctions and Partial Features\ in Parameter-tractable Feature Logics
Grant Weddell (Waterloo)*; David Toman (University of Waterloo); Alex Borgida (Rutgers
University); Stephanie McIntyre (University of Waterloo)
– Scalable and Efficient Pairwise Learning to Achieve Statistical Accuracy
Bin Gu (Pittsburgh University)*; Zhouyuan Huo (University of Pittsburgh); Heng Huang
(University of Pittsburgh)
– Large-scale Interactive Recommendation with Tree-structured Policy Gradient
Haokun Chen (Shanghai Jiao Tong University)*; Xinyi Dai (Shanghai Jiao Tong University);
Weinan Zhang (Apex Data & Knowledge Management Lab, Shanghai Jiao Tong University); Han
Cai (Shanghai Jiao Tong University); Xuejian Wang (Shanghai Jiao Tong University); Ruiming
Tang (Noah’s Ark Research Lab, Huawei); Yuzhou Zhang (Noah’s Ark Research Lab, Huawei);
Yong Yu (Shanghai Jiao Tong University)
– Adversarial Learning of Semantic Relevance in Text to Image Synthesis
Miriam Cha (Harvard University)*; Youngjune Gwon (Harvard University); H.T. Kung (Harvard
University)
– Unsupervised Cross-spectral Stereo Matching by Learning to Synthesize
Mingyang Liang (Beihang University); Xiaoyang Guo (The Chinese University of Hong Kong)*;
You Song (Beihang University); Hongsheng Li (Chinese University of Hong Kong); Xiaogang Wang
(Chinese University of Hong Kong, Hong Kong)
– Goal-oriented Dialogue Policy Learning from Failures
Keting Lu (School of Computer Science, University of Science and Technology of China)*; Shiqi
Zhang (SUNY Binghampton); Xiaoping Chen (University of Science and Technology of China)
– Incorporating Commonsense Knowledge for Story Completion
Jiaao Chen (Zhejiang University)*; Jianshu Chen (Tencent); Zhou Yu (UC Davis)
– The SpectACl of Nonconvex Clustering: A Spectral Approach to Density-Based Clustering
Sibylle Hess (TU Dortmund)*; Wouter Duivesteijn (TU Eindhoven); Philipp Honysz (TU
Dortmund); Katharina Morik (TU Dortmund)
– CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural
Networks
Akhilan Boopathy (MIT); Lily Weng (MIT)*; Pin-Yu Chen (IBM Research); Sijia Liu (IBM); Luca
Daniel (MIT)
– Anytime Recursive Best-First Search for Bounding Marginal MAP
Radu Marinescu (IBM)*; Rina Dechter (UC Irvine); Alexander Ihler (UC Irvine); Akihiro Kishimoto
(IBM Research, Ireland); Adi Botea (IBM Research)
– Policy Optimization with Model-based Explorations
Feiyang Pan (Institute of Computing Technology, Chinese Academy of Sciences)*; Qingpeng Cai
(IIIS, Tsinghua University); An-Xiang Zeng (Alibaba); Chun-Xiang Pan (Alibaba company); Qing Da
(Alibaba Group); Hualin He (Alibaba Group); Qing He (Institute of Computing Technology,
Chinese Academy of Sciences); Pingzhong Tang (Tsinghua University)
– AutoZOOM: Autoencoder-based Zeroth Order Optimization Method for Attacking Blackbox Neural Networks
Chun-Chen Tu (University of Michigan); Pai-Shun Ting (UMICH); Pin-Yu Chen (IBM Research)*;
Sijia Liu (IBM); Huan Zhang (UCLA); Jinfeng Yi (JD AI Research); Cho-Jui Hsieh (UCLA, Google
Research); Shin-Ming Cheng (National Taiwan University of Science and Technology)
– Unsupervised learning with contrastive latent variable models
Kristen Severson (IBM Research)*; Soumya Ghosh (IBM Research); Kenney Ng (IBM Research)
– Semi-Parametric Sampling for Stochasitc Bandits with Many Arms
Mingdong Ou (Alibaba)*; Nan Li (Alibaba); Cheng Yang (Alibaba Group); Shenghuo Zhu (Alibaba
Group); rong jin (alibaba group)
– Predicting Urban Dispersal Events: A Two-Stage Framework through Deep Survival
Analysis on Mobility Data
Amin Vahedian Khezerlou (The University of Iowa)*; Xun Zhou (University of Iowa); Ling Tong
(The University of Iowa); W. Nick Street (The University of Iowa); Yanhua Li (“Worcester
Polytechnic Institute, USA”)
– Combining Deep Learning and Qualitative Spatial Reasoning to Learn Complex Structures
from Sparse Examples with Noise
Nikhil Krishnaswamy (Brandeis University)*; Scott Friedman (SIFT); James Pustejovsky (Brandeis
University)
– Fully Convolutional Video Captioning with Coarse-to-Fine and Inherited Attention
Kuncheng Fang (Fudan University)*; Lian Zhou (Fudan University); Cheng Jin (Fudan University);
Yuejie Zhang (Fudan University); Kangnian Weng (Shanghai University of Finance and
Economics); Tao Zhang (Shanghai University of Finance and Economics); Weiguo Fan (University
of Iowa)
– Optimal approximation of discrete random variables for estimation of probabilities for
missing deadlines
Liat Cohen (Ben-Gurion University of the Negev)*; Gera Weiss (Ben-Gurion University of the
Negev)
– CAFE: Adaptive VDI Workload Prediction with Multi-Grained Features
Yao Zhang (VMWare); Wenping Fan (VMWare Inc.); Xuan Wu (Southeast University); Hua Chen
(VMWare Inc.); Binyang Li (VMWare Inc.); Min-Ling Zhang (School of Computer Science and
Engineering, Southeast University)*
– A Better Algorithm for Societal Tradeoffs
Hanrui Zhang (Duke University)*; Yu Cheng (Duke University); Vincent Conitzer (Duke)
– Optimization of Hierarchical Regression Model With Application to Optimizing MultiResponse Regression Trees
Pooya Tavallali (UC Merced); Peyman Tavallali (Caltech); Mukesh Singhal (UC Merced)*
– Very Hard Electoral Control Problems
Zack Fitzsimmons (College of the Holy Cross)*; Edith Hemaspaandra (Rochester Institute of
Technology); Alexander Hoover (University of Chicago); David Narvaez (Rochester Institute of
Technology)
– How to Combine Tree-Search Methods in Reinforcement Learning
Yonathan Efroni (Technion)*; Gal Dalal (); Bruno Scherrer (Inria); Shie Mannor (Technion)
– What Should I Learn First: Introducing LectureBank for NLP Education and Prerequisite
Chain Learning
Irene Li (Yale University)*; Alexander R Fabbri (Yale University); Robert R Tung (Yale University);
Dragomir Radev (Yale University)
– A Unified Framework for Planning in Adversarial and Cooperative Environments
Anagha Kulkarni (Arizona State University)*; Siddharth Srivastava (Arizona State University);
Subbarao Kambhampati (Arizona State University)
– State-Augmentation Transformations for Risk-Sensitive Reinforcement Learning
Shuai Ma (Concordia University)*; Jia Yuan Yu (Concordia University)
– Eliminating Latent Discrimination: Train Then Mask
Soheil Ghili (Yale); Ehsan Kazemi (Yale Institute for Network Science, Yale)*; Amin Karbasi (Yale)
– Number Sequence Prediction Problems for Evaluating Computational Powers of Neural
Networks
Hyoungwook Nam (Seoul National University)*; segwang Kim (Seoul National University);
Kyomin Jung (Seoul National University, Samung R&D Institute India)
– Scalable Robust Kidney Exchange
Duncan C McElfresh (University of Maryland)*; John P Dickerson (University of Maryland); Hoda
Bidkhori (University of Pittsburgh)
– SepNE: Bringing Separability to Network Embedding
Ziyao Li (Peking University)*; Liang Zhang (Peking University); guojie song (PKU, China)
– Improving Natural Language Inference Using External Knowledge in the Science
Questions Domain
Xiaoyan Wang (University of Illinois, Urbana-Champaign); Pavan Kapanipathi (IBM Research)*;
Ryan Musa (IBM Research); Mo Yu (IBM T. J. Watson); Kartik Talamadupula (IBM); Ibrahim
Abdelaziz (IBM Research); Maria Chang (IBM Research); Achille Fokoue (IBM Research); Bassem
Makni (IBM Research); Nicholas Mattei (IBM Research); Michael J Witbrock (IBM Research)
– Learning Anytime Predictions in Neural Networks via Adaptive Loss Balancing
Hanzhang Hu (Carnegie Mellon University)*; Debadeepta Dey (Microsoft); Martial Hebert
(Carnegie Mellon School of Computer Science); J. Andrew Bagnell (Carnegie Mellon University,
USA)
– Evolution of collective fairness in hybrid populations of humans and agents
Fernando P. Santos (INESC-ID & Instituto Superior Tecnico, University of Lisbon)*; Jorge
Pacheco (CBMA & University of Minho); Ana Paiva (INESC-ID U of Lisbon); Francisco Santos
(INESC-ID & Instituto Superior Tecnico, University of Lisbon)
– Knowledge Refinement via Rule Selection
Phokion Kolaitis (UCSC & IBM Research - Almaden); Lucian Popa (IBM Almaden Research
Center); Kun Qian (IBM Research - Almaden)*
– Defending Elections Against Malicious Spread of Misinformation
Bryan Wilder (University of Southern California)*; Yevgeniy Vorobeychik (Washington
University in Saint Louis)
– Learning to Teach in Cooperative Multiagent Reinforcement Learning
Shayegan Omidshafiei (MIT)*; Dong Ki Kim (MIT); Miao Liu (IBM); Gerald Tesauro (IBM
Research); Matthew D Riemer (IBM Research); Chris Amato (Northeastern University); Murray
Campbell (IBM Research); Jonathan How (MIT)
– Image Block Augmentation for One-Shot Learning
Zitian Chen (Fudan University); Yanwei Fu (Fudan Univertiy; AItrics Inc.)*; Kaiyu Chen (Fudan
University); Yu-Gang Jiang (Fudan University)
– Online Embedding Compression for Text Classification using Low Rank Matrix
Factorization
Anish Acharya (Amazon)*; Rahul Goel (Amazon); Angeliki Metallinou (Amazon); Inderjit Dhillon
(University of Texas at Austin)
– Robust Anomaly Detection in Videos using Multilevel Representations
Hung Vu (Deakin University)*; Tu Nguyen (Monash University); Trung Le (Monash University);
Wei Luo (Deakin University); Dinh Phung (Monash University)
– Adversarial Training for Community Question Answer Selection Based on Multi-scale
Matching
Xiao Yang (Pennsylvania State University)*; Madian Khabsa (Apple); Miaosen Wang (Google);
Wei Wang (Microsoft); Ahmed Awadallah (Microsoft); Dan Kifer (“Pennsylva State Univ., USA”);
Lee Giles (Pennsylvania State)
– Y^2Seq2Seq: Cross-Modal Representation Learning for 3D Shape and Text by Joint
Reconstruction and Prediction of View and Word Sequences
Zhizhong Han (University of Maryland, College Park); Mingyang Shang (Tsinghua University);
Xiyang Wang (Tsinghua University); Yu-Shen Liu (Tsinghua University)*; Matthias Zwicker
(University of Maryland)
– Tensorial Change Analysis using Probabilistic Tensor Regression
Tsuyoshi Ide (IBM Research, T. J. Watson Research Center)*
– Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an
Attention-based Sequence to Sequence Network
Xinhai Liu (Tsinghua University); Zhizhong Han (University of Maryland, College Park); Yu-Shen
Liu (Tsinghua University)*; Matthias Zwicker (University of Maryland)
– Asynchronous Delay-Aware Accelerated Proximal Coordinate Descent for Nonconvex
Nonsmooth Problems
Ehsan Kazemi (University of Central Florida)*; Liqiang Wang (University of Central Florida)
– Sparse Adversarial Perturbations for Videos
Xingxing Wei (Tsinghua University)*; Jun Zhu (Tsinghua University); Hang Su (Tsinghua
Univiersity); Sha Yuan (Tsinghua University)
– CISI-net: Explicit latent content inference and imitated style rendering for image
inpainting
Jing Xiao (Wuhan University); liang liao (Wuhan University)*; Qiegen Liu (Nanchang University);
Ruimin Hu (Wuhan University)
– EA Reader: Enhance Attentive Reader for Cloze-Style Question Answering via Multi-Space
Context Fusion
Chengzhen Fu (Peking University)*; Yan Zhang (PEKING UNIBERSITY)
– Almost Unsupervised Learning for Dense Crowd Counting
deepak babu sam (Indian Institute of Science)*; Neeraj Nagaraj Sajjan (IISC); Himanshu Maurya
(Indian Institute of Technology (BHU) Varanasi); Venkatesh Babu RADHAKRISHNAN (Indian
Institute of Science)
– Subspace Selection via DR-Submodular Maximization on Lattices
Takanori Maehara (RIKEN AIP)*; So Nakashima (Tokyo University)
– Distribution-based Semi-Supervised Learning for Activity Recognition
Hangwei Qian (Nanyang Technological University)*; Sinno Pan (NTU, Singapore); Chunyan Miao
(NTU)
– A distillation approach to data efficient individual treatment effect estimation
Maggie Makar (MIT)*; Adith Swaminathan (Microsoft Research); Emre Kiciman (Microsoft
Research)
– Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph
Embedding
Peifeng Wang (Sun Yat-sen University)*; Jialong Han (Tencent AI Lab); Chenliang Li (Wuhan
University); Rong Pan (Sun Yat-sen University)
– An Efficient Compressive Convolutional Network for Unified Object Detection and Image
Compression
Xichuan Zhou (Chongqing University)*; Lang Xu ( Chongqing University); Shujun Liu (Chongqing
University); Yingcheng Lin ( Chongqing University); Lei Zhang (Chongqing University); Cheng
Zhuo (Zhejiang University)
– Multi-View Anomaly Detection: Neighborhood in Locality Matters
Xiang-Rong Sheng (National Key Laboratory of Novel Software Technology, Nanjing University);
De-Chuan Zhan (Nanjing University)*; Su Lu (National Key Laboratory of Novel Software
Technology, Nanjing University); Yuan Jiang (Nanjing University)
– Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow
Forecasting
Shengnan Guo (Beijing Jiaotong University); Youfang Lin (Beijing Jiaotong University); Ning Feng
(Beijing Jiaotong University); Chao Song (Beijing Jiaotong University); Huaiyu Wan (Beijing
Jiaotong University)*
– A Natural Language Corpus of Common Grounding under Continuous and PartiallyObservable Context
Takuma Udagawa (University of Tokyo)*; Akiko Aizawa (National Institute of Informatics)
– A SAT+CAS Approach to Finding Good Matrices: New Examples and Counterexamples
Curtis Bright (University of Waterloo)*; Dragomir Djokovic (University of Waterloo); Ilias
Kotsireas (Wilfrid Laurier University); Vijay Ganesh (University of Waterloo)
– Depthwise Convolution is All You Need for Learning Multiple Visual Domains
Yunhui Guo (University of California, San Diego)*; Yandong Li (University of Central Florida);
Liqiang Wang (University of Central Florida); Tajana Rosing (University of California, San Diego)
– Deriving Subgoals Autonomously to Accelerate Learning in Sparse Reward Domains
Michael Dann (RMIT University)*; Fabio Zambetta (RMIT University); John Thangarajah (RMIT
University)
– Election with Bribed Voter Uncertainty: Hardness and Approximation Algorithm
Lin Chen (University of Houston)*; Lei Xu (University of Houston); Shouhuai Xu (University of
Texas at San Antonio); Zhimin Gao (University of Houston); Weidong Shi (University of Houston)
– Human motion prediction via learning local structure representations and temporal
dependencies
Xiao Guo (University of Southern California)*; Jongmoo Choi (University of Southern California,
USA)
– Motion Guided Spatial Attention for Video Captioning
Shaoxiang Chen (Fudan University)*; Yu-Gang Jiang (Fudan University)
– Solving Large Extensive-Form Games with Strategy Constraints
Trevor Davis (University of Alberta)*; Kevin Waugh (DeepMind); Michael Bowling (University of
Alberta, DeepMind)
– Orthogonality-Promoting Dictionary Learning via Bayesian Inference
Lei Luo (University of Pittsburgh)*; Heng Huang (University of Pittsburgh); Jie Xu (University of
Pittsburgh)
– Re-evaluating ADEM: A Deeper Look at Scoring Dialogue Responses
Ananya Sai B (Indian Institute of Technology Madras)*; Mithun Das Gupta (Microsoft,India);
Mitesh M. Khapra (Indian Institute of Technology Madras); Mukundhan Srinivasan (NVIDIA)
– Learning Adaptive Random Features
Yanjun Li (UIUC)*; Kai Zhang (Temple University); Jun Wang (Alibaba); Sanjiv Kumar (Google
Research)
– MVPNet: Multi-View Point Regression Networks for 3D Object Reconstruction from A
Single Image
Jinglu Wang (Microsoft Research Asia)*; Bo Sun (Peking University); Yan Lu (Microsoft Research
Asia)
– Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial
Optimization
Bryan Wilder (University of Southern California)*; Bistra Dilkina (University of Southern
California); Milind Tambe (USC)
– Multi-Winner Contests for Strategic Diffusion in Social Networks
Wen Shen (University of California, Irvine)*; Yang Feng (University of California, Irvine); Cristina
Lopes (University of California, Irvine)
– Difficulty-Aware Attention Network with Confidence Learning for Medical Image
Segmentation
Dong Nie (UNC)*; Li Wang (UNC); Lei Xiang (Shanghai Jiao Tong University); Sihang Zhou
(NUDT); Ehsan Adeli (Stanford University); Dinggang Shen (UNC Chapel Hill)
– B\´ezier Simplex Fitting: Describing Pareto Fronts of Simplicial Problems with Small
Samples in Multi-objective Optimization
Ken Kobayashi (Fujitsu Laboratories LTD.)*; Naoki Hamada (Fujitsu Laboratories LTD.); Akiyoshi
Sannai (RIKEN); Akinori Tanaka (RIKEN); Kenichi Bannai (Keio University); Masashi Sugiyama
(RIKEN/The University of Tokyo)
– Show, attend and read: a simple and strong baseline for recognising irregular text
Hui Li (the University of Adelaide)*; Peng Wang (Northwestern Polytechnical University);
Chunhua Shen (University of Adelaide); Guyu Zhang (Northwestern Polytechnical University)
– Unsupervised Domain Adaptation by Matching Distributions based on the Maximum
Mean Discrepancy via Unilateral Transformations
Atsutoshi Kumagai (NTT)*; Tomoharu Iwata (NTT Communication Science Laboratories)
– Discrete Social Recommendation
Chenghao Liu (Singapore Management University)*; Xin Wang (Tsinghua University); Tao Lu
(Zhejiang University); Wenwu Zhu (Tsinghua University); Jianling Sun (Zhejiang University);
Steven Hoi (SMU)
– Diversity-Driven Extensible Hierarchical Reinforcement Learning
Yuhang Song (University of Oxford)*; Jianyi Wang (Beihang university); Thomas Lukasiewicz
(University of Oxford); Zhenghua Xu (University of Oxford); Mai Xu (BUAA)
– Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep
Domain Adaptation
Chao Chen (zhejiang university)*; Zhihong Chen (zhejiang university); Boyuan Jiang (Zhejiang
University); Xinyu Jin (zhejiang university)
– Spatial Mixture Models with Learnable Deep Priors for Perceptual Grouping
Jinyang Yuan (Fudan University); Bin Li (Fudan University)*; Xiangyang Xue (Fudan University)
– Practical Approximate Second-Order Method for Training Fully-Connected Neural
Networks
Sheng-Wei Chen (HTC)*; Chun-Nan Chou (HTC Research); Edward Chang ()
– Fuzzy-Classification Assisted Solution Preselection in Evolutionary Optimization
Aimin Zhou (East China Normal University)*; Jinyuan Zhang (East China Normal University);
Jianyong Sun (Xi’an Jiaotong University); Guixu Zhang (East China Normal University)
– Compressing Recurrent Neural Networks with Tensor Ring Decomposition for Action
Recognization
Yu Pan (University of Electronic Science and Technology of China); Jing Xu (University of
Electronic Science and Technology of China); Jinmian Ye (SMILE Lab); Morin Wang (University of
Electronic Science and Technology of China); Fei Wang (Cornell University); Kun Bai (Tencent
Inc); Zenglin Xu (University of Electronic Science and Technology of China)*
– Dependency or Span, End-to-End Uniform Semantic Role Labeling
Zuchao Li (Shanghai Jiao Tong University)*; Shexia He (Shanghai Jiao Tong University); Hai Zhao
(Shanghai Jiao Tong University); Yiqing Zhang (Shanghai Jiao Tong University); Zhuosheng Zhang
(Shanghai Jiao Tong University); Xi Zhou (CloudWalk Technology); Xiang Zhou (CloudWalk
Technology)
– Cross-relation Cross-bag Attention for Distantly-supervised Relation Extraction
Yujin Yuan (Zhejiang University); Liyuan Liu (University of Illinois at Urbana Champaign); Siliang
Tang (Zhejiang University)*; Zhongfei Zhang (Zhejiang University); Yueting Zhuang (Zhejiang
University); Shiliang Pu (Hikvision Research Institute); Fei Wu (Zhejiang University, China); Xiang
Ren (University of Southern California)
– Bias-Variance Trade-Off in Hierarchical Probabilistic Models Using Higher-Order Feature
Interactions
Simon Luo (The University of Sydney, Data61, CSIRO)*; Mahito Sugiyama (National Institute of
Informatics)
– Semantic Adversarial Network with Multi-scale Pyramid Attention for Video Classification
De Xie (XiDian University)*; Cheng Deng (Xidian University); Hao Wang (Xidian University); Chao
Li (Xidian University); Dapeng Tao (Yunnan University)
– Residual Invertible Spatio-Temporal Network For Video Super-Resolution
Xiaobin Zhu (Beijing Technology and Business University); Zhuangzi Li (Beijing Technology and
Business University)*; Xiao-Yu Zhang (Institute of Information Engineering, Chinese Academy of
Sciences); Changsheng Li (University of Electronic Science and Technology of China); Yaqi Liu
(Institute of Information Engineering, Chinese Academy of Sciences); Ziyu Xue (Information
Technology Institute, Academy of Broadcasting Science, SART)
– Partial Multi-Label Learning via Credible Label Elicitation
Jun-Peng Fang (fangjp@seu.edu.cn); Min-Ling Zhang (School of Computer Science and
Engineering, Southeast University)*
– Extension Removal in Abstract Argumentation – An Axiomatic Approach
Ringo Baumann (University of Leipzig)*; Gerhard Brewka (University of Leipzig)
– Deep neural networks constrained by decision rules
Yuzuru Okajima (NEC)*; Kunihiko Sadamasa (NEC)
– Non-Autoregressive Machine Translation with Auxiliary Regularization
Yiren Wang (University of Illinois at Urbana-Champaign)*; Fei Tian (Microsoft Research); Di He
(Peking University); Tao Qin (Microsoft Research Asia); Cheng Xiang Zhai (University of Illinois
at Urbana-Champaign); Tieyan Liu ()
– Self-Supervised Mixture-of-Experts by Uncertainty Estimation
Zhuobin Zheng ( Tsinghua University)*; Chun Yuan (Tsinghua University); Yangyang Cheng
(Tsinghua University); Zhihui Lin (Tsinghua University); Xinrui Zhu (Tsinghua University); Cheng
Shi (Tsinghua University); Jiahui Ye (Tsinghua University)
– Addressing the Under-translation Problem from the Entropy Perspective
Yang Zhao (Institute of Automation, Chinese Academy of Sciences)*; Jiajun Zhang (Institute of
Automation Chinese Academy of Sciences); Chengqing Zong (“Institute of Automation, Chinese
Academy of Sciences”); Zhongjun He (Baidu); Hua Wu (Baidu, Inc.)
– Cogra: Concept-drift-aware Stochastic Gradient Descent for Time-series Forecasting
Kohei Miyaguchi (The University of Tokyo)*; Hiroshi Kajino (IBM Research - Tokyo)
– MLVCNN: Multi-Loop-View Convolutional Neural Network for 3D Shape Retrieval
Jianwen Jiang (Tsinghua University); Di Bao (Tsinghua University); Ziqiang Chen (Tsinghua
University); Xibin Zhao (Tsinghua University); Yue Gao (Tsinghua University)*
– SpHMC: Spectral Hamiltonian Monte Carlo
Kafeng Wang (Baidu & SIAT CAS); Haoyi Xiong (Baidu Research)*; Jiang Bian (Baidu & University
of Central Florida); Zhanxing Zhu (Peking University); Chengzhong Xu (Shenzhen Institutes of
Advanced Technology,Chinese Academy of Sciences); Zhishan Guo (University of Central
Florida); Jun Huan (Baidu Research)
– Hierarchical Attention Networks for Sentence Ordering
Tianming Wang (Peking University); Xiaojun Wan (Peking Unviersity)*
– Who Blames Whom in a Crisis? Detecting Blame Ties from News Articles Using Neural
Networks
Shuailong Liang (Singapore University of Technology and Design)*; Olivia Nicol (Singapore
University of Technology and Design); Yue ZHANG (Singapore University of Technology and
Design, Singapore)
– Improving Domain-Specific Classification by Collaborative Learning with Adaptation
Networks
Si Wu (South China University of Technology)*; Jian Zhong (South China University of
Technology); Wen Ming Cao (City University of Hong Kong); Rui Li (City University of Hong
Kong); Zhiwen Yu (South China University of Technology); Hau San Wong (TBD)
– Learning to Align Question and Answer Utterances in Customer Service Conversation with
Recurrent Pointer Networks
Shizhu He (Institute of Automation, Chinese Academy of Sciences)*; Kang Liu (Institute of
Automation, Chinese Academy of Sciences); Weiting An (Alibaba Group)
– Popularity Prediction on Online Articles with Deep Fusion of Temporal Process and
Content Features
Dongliang Liao (University of Science and Technology of China)*; Jin Xu (Tencent Inc.); Gongfu Li
(Tencent Inc.); Weijie Huang (Tencent Inc.); Weiqing Liu (Microsoft Research); Jing Li (University
of Science and Technology of China)
– An Abstraction-based Method for Verifying Strategic Properties in Multi-agent Systems
with Imperfect Information
Francesco Belardinelli (Univ Evry); Alessio Lomuscio (Imperial College London); Vadim Malvone
(Université d’Évry)*
– Emergency Department Online Patient-Caregiver Scheduling
Hanan Rosemarin (Bar Ilan University)*; Ariel Rosenfeld (Bar-Ilan University); Sarit Kraus (BarIlan University)
– Safe Policy Improvement with Baseline Bootstrapping in Factored Environments
Thiago D. Simão (Delft University of Technology)*; Matthijs Spaan (Delft University of
Technology)
– Residual Compensation Networks for Heterogeneous Face Recognition
Zhongying Deng (SIAT); Xiaojiang Peng (SIAT); Yu Qiao (Multimedia Laboratory, Shenzhen
Institutes of Advanced Technology, Chinese Academy of Sciences)*
– MonoGRNet: A Geometric Reasoning Network for Monocular 3D Object Localization
Zengyi Qin (Tsinghua University); Jinglu Wang (Microsoft Research Asia)*; Yan Lu (Microsoft
Research Asia)
– General Robustness Evaluation of Incentive Mechanism Against Bounded Rationality
Using Continuum-Armed Bandits
Zehong Hu (Alibaba Group)*; Jie Zhang (Nanyang Technological University); Zhao Li (Alibaba
Group)
– DeRPN: Taking a further step toward more general object detection
Lele Xie (South China University of Technology); Yuliang Liu (South China University of
Technology); Lianwen Jin (South China University of Technology)*; Zecheng Xie (South China
University of Technology)
– Deep Neural Network Quantization via Layer-Wise Optimization using Limited Training
Data
Shangyu Chen (Nanyang Technological University)*; Wenya Wang (Nanyang Technological
University); Sinno Pan (NTU, Singapore)
– Dirichlet Multinomial Mixture with Variational Manifold Regularization: Topic Modeling
over Short Texts
Ximing Li (Jilin University)*; Jiaojiao Zhang (Jiling University); Jihong Ouyang (Jiling University)
– AFS: An Attention-based mechanism for Supervised Feature Selection
Ning Gui (Central South University)*; Danni Ge (Zhejiang Sci-Tech University); Ziyin Hu (Zhejiang
Sci-Tech University)
– Dual Semi-Supervised Learning for Facial Action Unit Recognition
Guozhu Peng (USTC); Shangfei Wang (University of Science and Technology of China)*
– Do Not Vote If You Are Not Motivated
Mohammad Ghodsi (Sharif University of Technology); Mohammad Latifian (Sharif University of
Technology)*; Masoud Seddighin (Sharif University of Technology)
– Fine-grained search space classification for hard enumeration variants of subset problems
Juho Lauri (Nokia Bell Labs)*; Sourav Dutta (Nokia Bell Labs)
– Learning Personalized Attribute Preference via Multi-task AUC Optimization
Zhiyong Yang (SKLOIS, Institute of Information Engineering, Chinese Academy of Sciences; SCS,
University of Chinese Academy of Sciences); Qianqian Xu (Key Laboratory of Intelligent
Information Processing, Institute of Computing Technology, Chinese Academy of Sciences);
Xiaochun Cao (Chinese Academy of Sciences); Qingming Huang (University of Chinese Academy
of Sciences)*
– On-Line Learning of Linear Dynamical Systems: Exponential Forgetting in Kalman Filters
Mark Kozdoba (Technion)*; Jakub Marecek (IBM Research); Tigran Tchrakian (IBM Research);
Shie Mannor (Technion)
– Reasoning over Assumption-Based Argumentation Frameworks via Direct Answer Set
Programming Encodings
Tuomo Lehtonen (University of Helsinki); Johannes Peter Wallner (Vienna University of
Technology); Matti Järvisalo (University of Helsinki)*
– Data Augmentation for Spoken Language Understanding via Joint Variational Generation
Kang Min Yoo (Seoul National University)*; Youhyun Shin (Seoiul National University); Sang-goo
Lee (Seoul National University)
– Hierarchical Photo-Scene Encoder for Album Storytelling
Bairui Wang (Shandong University)*; Lin Ma (Tencent AI Lab); Wei Zhang (Shandong University);
Wenhao Jiang (Tencent AI Lab); Feng Zhang (Tencent AILab)
– Computing the Yolk in Spatial Voting Games without Computing Median Lines
Sampson S Wong (University of Sydney)*; Joachim Gudmundsson (University of Sydney)
– Granger-causal Attentive Mixtures of Experts: Learning Important Features with Neural
Networks
Patrick Schwab (ETH Zurich)*; Djordje Miladinovic (ETH Zurich); Walter Karlen (ETH Zurich)
– CAMO: A Collaborative Ranking Method for Content Based Recommendation
chengwei Wang (Zhejiang University)*; tengfei Zhou (Zhejiang University); Chen Chen (Zhejiang
University); Tianlei Hu (Zhejiang University); Gang Chen (Zhejiang University)
– Geometry-Aware Face Completion and Editing
Linsen Song (Institute of Automation, Chinese Academy of Sciences)*; Jie Cao (Institute of
Automation, Chinese Academy of Sciences); Lingxiao Song (Institute of Automation, Chinese
Academy of Sciences); Yibo Hu (Institute of Automation, Chinese Academy of Sciences); Ran He
(Institute of Automation, Chinese Academy of Sciences)
– Neural Speech Synthesis with Transformer Network
Naihan Li (University of Electronic Science and Techonoloy of China)*; Shujie Liu (Microsoft
Research Asia); Yanqing Liu (Microsoft); Sheng Zhao (Microsoft); Ming Liu (University of
Electronic Science and Technology of China )
– Incorporating Network Embedding into Markov Random Field for Better Community
Detection
Di Jin (Tianjin University); Xinxin you (School of Computer Software, Tianjin University ); Weihao
Li (Visual Learning Lab, Heidelberg University); Dongxiao He (Tianjin University ); Peng Cui
(Tsinghua University)*; Françoise Fogelman-Soulié (Tianjin University ); Tanmoy Chakraborty
(Indraprastha Institute of Information Technology Delhi (IIIT-D),India )
– Turbo Learning Framework for Human-Object Interactions Recognition and Human Pose
Estimation
Wei Feng (Sensetime)*; Tong Li (Sensetime); Jing Peng (sensetime); Wentao Liu (Sensetime);
Chen Qian (SenseTime); Xiaolin Hu (Tsinghua University)
– Semantic Sentence Matching with Densely-connected Recurrent and Co-attentive
Information
Seonhoon Kim (Naver Corporation)*; Inho Kang (Naver Corporation); Nojun Kwak (Seoul
National University)
– Abstractive Text Summarization by Incorporating Reader Comments
Shen Gao (Peking University)*; Xiuying Chen (Peking University); Piji Li (Tencent AI Lab);
Zhaochun Ren (JD.com); Lidong Bing (Tencent AI Lab); Dongyan Zhao (Peking University); Rui
Yan (Peking University)
– I Know the Relationships: Zero-Shot Action Recognition via Two-Stream Graph
Convolutional Networks and Knowledge Graphs
Junyu Gao (National Laboratory of Pattern Recognition Institute of Automation, Chinese
Academy of Sciences)*; Tianzhu Zhang (CAS, China); Changsheng Xu (CASIA)
– Semantic Proposal for Activity Localization in Videos via Sentence Query
Shaoxiang Chen (Fudan University)*; Yu-Gang Jiang (Fudan University)
– Qualitative Spatial Logic over 2D Euclidean Spaces is Not Finitely Axiomatisable
Heshan Du (University of Nottingham Ningbo China)*; Natasha Alechina (Nottingham)
– SCFont: Structure-guided Chinese Font Generation via Deep Stacked Networks
Yue Jiang (Peking University)*; Zhouhui Lian (); Yingmin Tang (PKU); Jianguo Xiao (PKU)
– On Resolving Ambiguous Anaphoric Expressions in Imperative Discourse
Vasanth Sarathy (Tufts University)*; Matthias Scheutz (Tufts University)
– Hyperprior Induced Unsupervised Disentanglement of Latent Representations
Abdul Fatir Ansari (National University of Singapore)*; Harold Soh (National University
Singapore)
– Holographic Factorization Machines for Recommendation
Yi Tay (Nanyang Technological University)*; SHUAI ZHANG (University of New South Wales);
Anh Tuan Luu (Institute for Infocomm Research); Siu Cheung Hui (Nanyang Technological
University); Lina Yao (UNSW); Vinh Dang Quang Tran (Nanyang Technological University,
Singapore)
– Coreset Stochastic Variance-Reduced Gradient with Application to Optimal Margin
Distribution Machine
Zhi-Hao Tan (Nanjing University)*; Teng Zhang (Nanjing University); Wei Wang (Nanjing Univ)
– Long Short-Term Memory with Dynamic Skip Connections
Tao Gui (Fudan University)*; Qi Zhang (Fudan University); Lujun Zhao (Fudan University);
Yaosong Lin (Fudan University); Minlong Peng (Fudan University); Jingjing Gong (Fudan
University); Xuanjing Huang (" Fudan University, China")
– Generating Distractors for Reading Comprehension Questions from Real Examinations
Yifan Gao (The Chinese University of Hong Kong)*; Lidong Bing (Tencent AI Lab); Piji Li (Tencent
AI Lab); Irwin King (The Chinese University of Hong Kong); Michael Lyu (The Chinese University
of Hong Kong)
– On Completing Sparse Knowledge Graph with Transitive Relation Embedding
Zili Zhou (University of Technology Sydney)*; Shaowu Liu (University of Technology Sydney);
Guandong Xu (University of Technology Sydney, Australia); Wu Zhang (Shanghai University)
– UGSD: User Generated Sentiment Dictionaries from Online Customer Reviews
Chun-Hsiang Wang (National Chengchi University); Kang-Chun Fan (Academia Sinica); Chuan-Ju
Wang (Academia Sinica)*; Ming-Feng Tsai (National Chengchi University)
– Unsupervised Domain Adaptation Based on Source-guided Discrepancy
Seiichi Kuroki (The University of Tokyo)*; Nontawat Charoenphakdee (The University of Tokyo);
Han Bao (The University of Tokyo / RIKEN); Junya Honda (University of Tokyo); Issei Sato (The
university of Tokyo/RIKEN); Masashi Sugiyama (RIKEN/The University of Tokyo)
– Hierarchical Encoder with Auxiliary Supervision for Table-to-text Generation: Learning
Better Representation for Tables
Tianyu Liu (Peking University)*; Shuming Ma (Peking University); Qiaolin Xia (Peking University);
Fuli Luo (Peking University); Baobao Chang (Peking University); Zhifang Sui (北京大学)
– SAM-Net: Integrating Event-Level and Chain-Level Attentions to Predict What Happens
Next
Shangwen Lv (Institute of Information Engineering, Chinese Academy of Sciences)*; Wanhui
Qian (Institute of Information Engineering, Chinese Academy of Sciences); Longtao Huang
(Chinese Academy of Science); Jizhong Han (Institute of Information Engineering,Chinese
Academy of Sciences); Songlin Hu ( Institute of Information Engineering,Chinese Academy of
Sciences)
– Title-Guided Encoding for Keyphrase Generation
Wang Chen (The Chinese University of Hong Kong)*; Yifan Gao (The Chinese University of Hong
Kong); Jiani Zhang (The Chinese University of Hong Kong); Irwin King (The Chinese University of
Hong Kong); Michael Lyu (The Chinese University of Hong Kong)
– Argumentation for Explainable Scheduling
Kristijonas Cyras (Imperial College London)*; Dimitrios Letsios (Imperial College London); Ruth
Misener (Imperial College London); Francesca Toni (Imperial College London)
– Trust Region Evolution Strategies
Guoqing Liu (university of science and technology of china)*; Li Zhao (Microsoft Research);
Feidiao Yang (Institute of Computing Technology, Chinese Academy of Sciences); Jiang Bian
(Microsoft Research); Tao Qin (Microsoft Research Asia); Nenghai Yu (University of Science and
Technology of China); Tie-Yan Liu (Microsoft)
– Dialogue Generation: From Imitation Learning to Inverse Reinforcement Learning
Ziming Li (University of Amsterdam)*; Julia Kiseleva (University of Amsterdam & UserSat.com);
Maarten de Rijke (University of Amsterdam)
– Theoretical Analysis of Label Distribution Learning
Jing Wang (Southeast University)*; Xin Geng (Southeast University)
– Human-in-the-Loop Feature Selection
Freddy Lecue (INRIA)*; Alvaro Henrique Chaim Correia (Universidade de São Paulo)
– A Framework to Coordinate Segmentation and Recognition
Wei Huang (Zhejiang University)*; Huimin Yu (TBD); Weiwei Zheng (Zhejiang University); Jing
Zhang (Zhejiang University)
– Multi-labeled Relation Extraction with Attentive Capsule Network
Xinsong Zhang (Shanghai Jiao Tong University)*; Pengshuai Li (Shanghai Jiao Tong University);
Weijia Jia (University of Macau； Shanghai Jiao Tong University); Hai Zhao (Shanghai Jiao Tong
University)
– Efficient Gaussian Process Classification Using Polya-Gamma Data Augmentation
Florian Wenzel (HU Berlin)*; Christian Donner (); Theo Galy-Fajou (TU Berlin); Manfred Opper
(TU Berlin); Marius Kloft (University of Southern California)
– Hierarchical Classification based on Label Distribution Learning
Changdong Xu (Southeast University); Xin Geng (Southeast University)*
– Reverse-Engineering Satire, or “Paper on Computational Humor Criticized for Making
Serious Advances”
Robert West (EPFL)*; Eric Horvitz (MSR)
– Refining Abstraction Heuristics During Real-Time Planning
Rebecca Eifler (Saarland University)*; Maximilian Fickert (Saarland University); Joerg Hoffmann
(Saarland University); Wheeler Ruml (University of New Hampshire)
– A Generalized Language Model in Tensor Space
Lipeng Zhang (Tianjin University)*; Peng Zhang (Tianjin University); Xindian Ma (Tianjin
University); Shuqin Gu (Tianjin University); Zhan Su (Tianjin University); Dawei Song (Beijing
Institue of Technology)
– Learning Disentangled Representation with Pairwise Independence
Zejian Li (Zhejiang University)*; Yongchuan Tang (Zhejiang University, Zhejiang Lab); Wei Li
(Zhejiang University); Yongxing He (Zhejiang University )
– Cooperative Multimodal Approach to Depression Detection in Twitter
Tao Gui (Fudan University)*; Liang Zhu (Fudan University); Qi Zhang (Fudan University); Minlong
Peng (Fudan University); xu zhou (fudan university); Keyu Ding (iFLYTEK CO., LTD); Zhigang Chen
(iFLYTEK CO., LTD)
– Greedy maximization of functions with bounded curvature under partition matroid
constraints.
Tobias Friedrich (Hasso Plattner Institute); Andreas Göbel (Hasso Plattner Institute); Frank
Neumann (The University of Adelaide, School of Computer Science, Faculty of Engineering,
Computer and Mathematical Science); Francesco Quinzan (Hasso Plattner Institute)*; Ralf
Rothenberger (Hasso Plattner Institute)
– Preference-aware Task Assignment in Spatial Crowdsourcing
Yan Zhao (School of Computer Science and Technology, Soochow University); Jinfu Xia (School
of Computer Science and Technology, Soochow University); Guanfeng Liu (Macquarie
University); Han Su (Big Data Research Center, University of Electronic Science and Technology
of China); Defu Lian (University of Electronic Science and Technology of China); Shuo Shang
(KAUST); Kai Zheng (University of Electronic Science and Technology of China)*
– Tensor Ring Decomposition with Rank Minimization on Latent Space: An Efficient
Approach for Tensor Completion
Longhao Yuan (Saitama Institute of Technology)*; Chao Li (RIKEN); Danilo P. Mandic ((Imperial
College of London, UK)); jianting cao (Saitama Institute of Technology); Qibin Zhao (RIKEN)
– EnsNet: Ensconce Text in the Wild
Shuaitao Zhang (South China University of Technology); Yuliang Liu (South China University of
Technology); Lianwen Jin (South China University of Technology)*; Yaoxiong Huang (South
China University of Technology); Songxuan Lai (South China University of Technology)
– A Framework for Approval-based Budgeting Methods
Nimrod Talmon (Ben Gurion University)*; Piotr Faliszewski (AGH Krakow)
– Data-Adaptive Metric Learning with Scale Alignment
Shuo Chen (Nanjing University of Science and Technology)*; Chen Gong (Nanjing University of
Science and Technology); Jian Yang (Nanjing University of Science and Technology); Ying Tai
(Tencent); Le Hui (Nanjing University of Science and Technology); Jun Li (Northeastern
University)
– Solving Concurrent Multiagent Planning using Classical Planning
Daniel Furelos-Blanco (Imperial College London)*; Anders Jonsson (UPF)
– Iterative Classroom Teaching
Teresa Yeo (EPFL)*; Parameswaran Kamalaruban (EPFL); Adish Singla (MPI-SWS); Arpit
Merchant (); pierre Faucon (); Thibault Asselborn (EPFL); Pierre Dillenbourg (École
polytechnique fédérale de Lausanne); Volkan Cevher (EPFL)
– ReAl-LiFE: Accelerating the discovery of individualized brain connectomes on GPUs
Sawan Kumar (Indian Institute of Science); Varsha Sreenivasan (Indian Institute of Science)*;
Partha Talukdar (Indian Institute of Science); Franco Pestilli (Indiana University); Devarajan
Sridharan (Indian Institute of Science)
– A Powerful Global Test Statistic for Functional Statistical Inference
Jingwen Zhang (University of North Carolina at Chapel Hill); Joseph Ibrahim (University of North
Carolina at Chapel Hill); Tengfei Li (MD Anderson Cancer Center); Hongtu Zhu (UNC Chapel
Hill)*
– Approximation and Hardness of Shift-Bribery
Piotr Faliszewski (AGH Krakow)*; Pasin Manurangsi (UC Berkeley); Krzysztof Sornat (University
of Wrocław, Poland and IDSIA, Switzerland)
– Learning Attribute-Specific Representations for Visual Tracking
Yuankai Qi (Harbin Institute of Technology)*; Shengping Zhang (Harbin Institute of Technology);
Weigang Zhang (Harbin Institute of Technology, Weihai); Li Su (University of Chinese Academy
of Sciences); Qingming Huang (University of Chinese Academy of Sciences); Ming-Hsuan Yang
(University of California at Merced)
– Multi-Interactive Memory Network for Aspect Based Multimodal Sentiment Analysis
Nan Xu (Institute of Automation, Chinese Academy of Sciences)*; Wenji Mao (Institute of
Automation, Chinese Academic of Sciences); Guandan Chen (Institute of Automation, Chinese
Academic of Sciences)
– Learning Non-Uniform Hypergraph for Multi-Object Tracking
Longyin Wen (JD Finance)*; Dawei Du (University at Albany, SUNY); Shengkun Li (SUNY Albany);
Xiao Bian (GE Global Research); Siwei Lyu (SUNY Albany)
– A Multi-Agent Communication Framework for Question-Worthy Phrase Extraction and
Question Generation
Siyuan Wang (Fudan University)*; Zhongyu Wei (Fudan University); ZHIHAO FAN (Fudan
University); Yang Liu (Liulishuo); Xuanjing Huang (" Fudan University, China")
– Dependency Grammar Induction with a Neural Variational Transition-Based Parser
Bowen Li (University of Edinburgh)*; Jianpeng Cheng (University of Edinburgh); Yang Liu
(University of Edinburgh); Frank Keller (University of Edinburgh)
– How Similar Are Two Elections?
Piotr Faliszewski (AGH Krakow)*; Skowron Piotr (University of Warsaw); Arkadii Slinko
(University of Auckland); Stanisław Szufa (Jagiellonian University); Nimrod Talmon (Ben Gurion
University)
– Exploiting Sentence Embedding for Medical Question Answering
Yu Hao (Tsinghua University); Xien Liu (Tsinghua University)*; Ji Wu (Tsinghua University); Ping
Lv (Tsinghua University)
– Temporal Bilinear Networks for Video Action Recognition
Yanghao Li (Peking University)*; Sijie Song (Peking University); Yuqi Li (Peking University);
Jiaying Liu (Peking University)
– Exploring Lexical Knowledge in an Interpretable Composed Approach for Text Entailment
Vivian S Silva (University of Passau)*; André Freitas (University of Manchester); Siegfried
Handschuh (University of Passau)
– Learning the Optimal Strategy to Commit to
Binghui Peng (Tsinghua University)*; Weiran Shen (Tsinghua University); Pingzhong Tang
(Tsinghua University); Song Zuo (Google)
– INTERPRETATION OF NEURAL NETWORKS IS FRAGILE
Amirata Ghorbani (Stanford University)*; Abubakar Abid (Stanford); James Zou (Stanford
University)
– Meta-descent for online, continual prediction
Adam White (DeepMind)*; Andrew Jacobsen (University of Alberta); Cameron Linke (University
of Alberta); Thomas M Degris (DeepMind); Martha White (University of Alberta)
– Recurrent Poisson Process Unit for Speech Recognition
Hengguang Huang (HKUST)*; Hao Wang (Massachusetts Institute of Technology); Brian Mak
(The Hong Kong University of Science and Technology)
– Lifted Proximal Operator Machine
Jia Li (Peking University); Cong Fang (Peking University); Zhouchen Lin (Peking University)*
– Hotels-50K: A Global Hotel Recognition Dataset
Abigail Stylianou (Washington University in St. Louis)*; Hong Xuan (George Washington
University); Maya Shende (George Washington University); Jonathan Brandt (-); Richard
Souvenir (Temple University); Robert Pless (George Washington University)
– Submodular Optimization Over Streams with Inhomogeneous Decays
Junzhou Zhao (King Abdullah University of Science and Technology)*; Shuo Shang (KAUST);
Xiangliang Zhang (" King Abdullah University of Science and Technology, Saudi Arabia"); Pinghui
Wang (Xi’an Jiaotong University); John C. S. Lui (The Chinese University of Hong Kong)
– Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks
Christopher Morris (TU Dortmund University)*; Martin Ritzert (RWTH Aachen University );
Matthias Fey (TU Dortmund University); William Hamilton (Stanford University); Jan Eric
Lenssen (TU Dortmund University); Gaurav Rattan (RWTH Aachen University ); Martin Grohe
(RWTH Aachen University)
– Bayesian Deep Collaborative Matrix Factorization
Teng Xiao (Sun Yat-sen University); Shangsong Liang (Sun Yat-sen University)*; Weizhou Shen
(SUN YAT-SEN UNIVERSITY); Zaiqiao Meng (Sun Yat-sen University)
– Learning Object Context for Dense Captioning
Xiangyang Li (Institute of Computing Technology, Chinese Academy of Sciences); Shuqiang Jiang
(ICT, China Academy of Science)*; Jungong Han (Lancaster University)
– Preference-Aware Task Assignment in On-demand Taxi Dispatching: An Online Stable
Matching Approach
Boming Zhao (Beihang University); Yongxin Tong (Beihang University)*; Pan Xu (University of
Maryland); Yexuan Shi (Beihang University); Zimu Zhou (ETH Zurich); Yuxiang Zeng (Hong Kong
University of Science and Technology)
– Deep Cascade Multi-task Learning for Slot Filling in Online Shopping Assistant
Yu Gong (Alibaba Group)*; Xusheng Luo (Alibaba Group); Yu Zhu (Alibaba Group); Wenwu Ou
(Alibaba); Zhao Li (Alibaba Group); Muhua Zhu (Alibaba Group); Kenny Zhu (SJTU); Lu Duan
(Artificial Intelligence Department, Zhejiang Cainiao Supply Chain Management Co.); Xi Chen
(Alibaba Group)
– A Grammar-Based Structural CNN Decoder for Code Generation
Zeyu Sun (Peking University)*; Qihao Zhu (Peking University); Lili Mou (AdeptMind Inc.); Yingfei
Xiong (Peking University); Ge Li (Peking University); Lu Zhang (Peking University)
– Building Causal Graphs from Medical Literature and Electronic Medical Records
Galia Nordon (Technion - Israel institute of technology)*; Kira Radinsky (Technion- Israel
institute of technology); Uri Shalit (Technion); Benny Kimelfeld (Technion); Gideon Koren
(Maccabitech); Varda Shalev (MAccabitech)
– Generating Live Soccer-Match Commentary from Play Data
Yasufumi Taniguchi (Tokyo Institute of Technology); Yukun Feng (Tokyo Institute of
Technology); Hiroya Takamura (Tokyo Institute of Technology)*; Manabu Okumura (“Japan
Advanced Institute of Science and Technology, Japan”)
– Communication Efficient Stochastic Gradient MCMC for Neural Networks
Chunyuan Li (Microsoft Research)*; Changyou Chen (University at Buffalo)
– Multi-order Attentive Ranking Model for Sequential Recommendation
lu yu (King Abdullah University of Science and Technology)*; Chuxu Zhang (University of Notre
Dame); Shangsong Liang (Sun Yat-sen University); Xiangliang Zhang (" King Abdullah University
of Science and Technology, Saudi Arabia")
– Training Complex Models with Multi-Task Weak Supervision
Alexander J Ratner (Stanford University)*; Braden Hancock (Stanford University); Jared
Dunnmon (Stanford University); Frederic Sala (Stanford); Shreyash Pandey (Stanford
University); Christopher Re (Stanford University)
– Learning a Visual Tracker from a Single Movie without Annotation
Lingxiao Yang (The Hong Kong Polytechnic University); D. Zhang (The Hong Kong Polytechnic
University); Lei Zhang (“Hong Kong Polytechnic University, Hong Kong, China”)*
– Attentive Temporal Pyramid Network for Dynamic Scene Classification
Yuanjun Huang (Beihang University)*; Xianbin Cao (Beihang University, China); Jungong Han
(Lancaster University); Xiantong Zhen (Beihang University)
– Learning Resource Allocation and Pricing for Cloud Profit Maximization
Bingqian Du (The University of Hong Kong)*; Chuan Wu (The University of Hong Kong); Zhiyi
Huang (University of Hong Kong)
– SDRL: Interpretable and Data-efficient Deep Reinforcement Learning Leveraging Symbolic
Planning
Daoming Lyu (Auburn University)*; Fangkai Yang (Maana Inc); Bo Liu (Auburn University);
Steven Gustafson (Maana Inc.)
– Exploring Human Reading Cognition for Abstractive Text Summarization
Min Yang (Chinese Academy of Sciences)*; Qiang Qu (SIAT); Zhou Zhao (Zhejiang University);
Xiaojun Chen (Shenzhen University); Ying Shen (Peking University Shenzhen Graduate School);
Wenting Tu (Shanghai University of Finance and Economics (SHUFE))
– Block-Dropout: Efficient Training Method for Multi-Agent Deep Reinforcement Learning
Woojun Kim (KAIST)*; MyungSik Cho (KAIST); Youngchul Sung ()
– Image Saliency Prediction in Transformed Domain: A Deep Complex Neural Network
Method
Lai Jiang (BUAA); Zhe Wang (BUAA); Mai Xu (BUAA)*; zulin wang (BUAA)
– Detecting Incongruity Between News Headline and Body Text via a Deep Hierarchical
Encoder
Seunghyun Yoon (Seoul National University)*; Kunwoo Park (Korea Advanced Institute of
Science and Technology); Joongbo Shin (Seoul National University); Hongjun Lim (Korea
Advanced Institute of Science and Technology); Seungpil Won (Seoul National University);
Meeyoung Cha (KAIST); Kyomin Jung (Seoul National University, Samung R&D Institute India)
– Multi-Matching Network for Multiple Choice Reading Comprehension
Min Tang (SUN YAT-SEN UNIVERSITY)*; Jiaran Cai (Sun Yat-sen University); Hankz Hankui Zhuo
(Sun Yat-sen University)
– Blameworthiness in Multi-Agent Settings
Meir Friedenberg (Cornell University)*; Joe Halpern ()
– A Comparative Analysis of Expected and Distributional Reinforcement Learning
Clare MB Lyle (McGill University)*; Pablo Samuel Castro (Google); Marc G. Bellemare (Google
Brain)
– Dynamic Capsule Attention for Visual Question Answering
Yiyi Zhou (Xiamen University); Rongrong Ji (Xiamen University, China)*; Jinsong Su (Xiamen
University); Xiaoshuai Sun (Harbin Institute of Technology); Weiqiu Chen (Xiamen Univserity)
– State Abstraction as Compression in Apprenticeship Learning
David Abel (Brown University)*; Dilip Arumugam (Stanford University); Kavosh Asadi (Brown
University); Yuu Jinnai (Brown University); Michael L. Littman (Brown University); Lawson Wong
(Northeastern University)
– Model-Based Diagnosis for Cyber-Physical Production Systems based on Machine
Learning and Residual-Based Diagnosis Models
Andreas Bunte (Ostwestfalen-Lippe University of Applied Science)*; Benno Stein (BauhausUniversität Weimar); Oliver Niggemann (University OWL)
– Depth prediction without the sensors: Leveraging structure for unsupervised learning
from monocular videos
Vincent Casser (Harvard University); Soeren Pirk (Google); Reza Majhourian (UT Austin); Anelia
Angelova (Google)*
– Deep Convolutional Sum-Product Networks
Cory J Butz (University of Regina)*; Jhonatan Oliveira (University of Regina); André dos Santos
(University of Regina); André Teixeira (University of Regina)
– Deep Metric Learning by Online Soft Mining and Class-Aware Attention
Xinshao Wang (Queen’s University Belfast); Yang Hua (Queen’s University Belfast)*; Elyor
Kodirov (Anyvision); Guosheng Hu (AnyVision); Neil Robertson (Queen’s University Belfast)
– Learning Competitive and Discriminative Reconstructions for Anomaly Detection
Kai Tian (Fudan University); Shuigeng Zhou (Fudan University)*; Jianping Fan (UNCC); Jihong
Guan (Tongji University)
– Adversarial Unsupervised Representation Learning for Activity Time-Series
Karan Aggarwal (University of Minnesota)*; Shafiq Joty (Nanyang Technological University); Luis
Luque (QCRI); Jaideep Srivastava (University of Minnesota)
– Deep Transformation Method for Discriminant Feature Extraction from Multi-Channel
Time Series Data
Abhay M S Aradhya (Nanyang Technological University); adytya joglekar (Nanyang
Technological University); suresh sundaram (NTU); Mahardhika Pratama (Nanyang Technology
University)*
– Generalized Batch Normalization
Xiaoyong Yuan (University of Florida); Zheng Feng (University of Florida); Matthew D Norton
(Naval Postgraduate School); Xiaolin Li (University of Florida)*
– Efficient Concept Induction for Description Logics
Md Kamruzzaman Sarker (Wright State University); Pascal Hitzler (Wright State University)*
– Learning Set Functions with Limited Complementarity
Hanrui Zhang (Duke University)*
– COALA: A Neural Coverage-Based Approach for Long Answer Selection with Small Data
Andreas Rücklé (UKP Lab, Technische Universität Darmstadt)*; Nafise Moosavi ( UKP Lab,
Technische Universität Darmstadt); Iryna Gurevych (Darmstadt University)
– Interactive Semantic Parsing for If-Then Recipes via Hierarchical Reinforcement Learning
Ziyu Yao (Ohio State University)*; Xiujun Li (Microsoft); Jianfeng Gao (Microsoft Research);
Brian Sadler (Army Research Laboratory, USA); Huan Sun (Ohio State University)
– Group Fairness for Indivisible Goods Allocation
Vincent Conitzer (Duke); Rupert Freeman (Microsoft)*; Nisarg Shah (U. Toronto); Jennifer
Wortman Vaughan (Microsoft Research)
– Towards Better Interpretability in Deep Q-Networks
Raghuram Mandyam Annasamy (Carnegie Mellon University)*; Katia Sycara (Carnegie Mellon
University)
– CycleEmotionGAN: Emotional Semantic Consistency Preserved CycleGAN for Adapting
Image Emotions
Sicheng Zhao (University of California Berkeley)*; Chuang Lin (Harbin Institute of Technology);
Pengfei Xu (Didi Chuxing); Sendong Zhao (Cornell University); Yuchen Guo (Tsinghua University);
Ravi Krishna (University of California Berkeley); guiguang ding (Tsinghua University, China); Kurt
Keutzer (EECS, UC Berkeley)
– An Equivalence Between Wagering and Fair-Division Mechanisms
Rupert Freeman (Microsoft)*; David Pennock (Microsoft Research); Jennifer Wortman Vaughan
(Microsoft Research)
– Toward Fast, Automatic, Privacy-Preserving Learning of Optimal Network Resource
Reservation via Simple Reservation Interface
Qiao Xiang (Yale University)*; Haitao Yu (Tongji University); James Aspnes (Yale University);
Franck Le (IBM); Linghe Kong (Shanghai Jiao Tong University); Y.Richard Yang (Yale University)
– Automated Rule Base Completion as Bayesian Concept Induction
Zied Bouraoui (University d’Artois)*; Steven Schockaert (Cardiff University)
– Which Factorization Machine Modeling is Better: A Theoretical Answer with Optimal
Guarantee
Ming Lin (Alibaba Group)*; Shuang Qiu (University of Michigan); Jieping Ye (Didi Chuxing &
University of Michigan); Xiaomin Song (Alibaba Group); Qi Qian (Alibaba Group); Liang Sun
(Alibaba Group); Shenghuo Zhu (Alibaba Group); rong jin (alibaba group)
– Theory of Minds: Understanding Behavior in Groups Through Inverse Planning
Michael Shum (MIT); Max Kleiman-Weiner (MIT)*; Michael L. Littman (Brown University);
Joshua Tenenbaum (MIT)
– Bias Reduction via End-to-End Shift Learning: Application to Citizen Science
Di Chen (Cornell University)*; Carla P Gomes (Cornell University)
– Self-Adversarially Learned Bayesian Sampling
Yang Zhao (University at Buffalo); Changyou Chen (University at Buffalo)*
– Learning to Communicate and Solve Visual Blocks-World Tasks
Qi Zhang (University of Michigan)*; Richard L Lewis (University of Michigan); Satinder Singh
(UMich); Edmund Durfee (University of Michigan)
– Beyond Speech: Generalizing D-Vectors for Biometric Verification
Robert W Wright (Assured Information Security)*; Jacob Baldwin (Assured Information
Security); Ryan Burnham (Clarkson); Andrew Meyer (Assured Information Security); Robert
Dora (Assured Information Security)
– Mechanism Design for Multi-type Housing Markets with Acceptable Bundles
Sujoy Sikdar (RPI)*; Lirong Xia (RPI); Sibel Adali (RPI)
– Active Learning of Multi-class Classification Models from Ordered Class Sets
Yanbing Xue (University of Pittsburgh); Milos Hauskrecht (UPitt)*
– Machine Teaching for Inverse Reinforcement Learning: Algorithms and Applications
Daniel S Brown (University of Texas at Austin)*; Scott Niekum (UT Austin)
– Interpreting Deep Models for Text Analysis via Optimization and Regularization Methods
Hao Yuan (Washington State University); Yongjun Chen (Washington State University); Xia Hu
(Texas A&M University); Shuiwang Ji (Texas A&M University)*
– Inverse Abstraction of Neural Networks Using Symbolic Interpolation
Sumanth Dathathri (California Institute of Technology)*; Sicun Gao (University of California, San
Diego); Richard M Murray (California Institute of Technology)
– Hybrid Reinforcement Learning with Expert State Sequences
Xiaoxiao Guo (IBM Research)*; Shiyu Chang (IBM Research); Mo Yu (IBM T. J. Watson); Gerald
Tesauro (IBM Research)
– Explicitly Imposing Constraints in Deep Networks Via Conditional Gradients Gives
Improved Generalization and Faster Convergence
Sathya Ravi (University of Wisconsin-Madison)*; Tuan Dinh (University of Wisconsin-Madison);
Vishnu Lokhande (University of Wisconsin-Madison); Vikas Singh (University of WisconsinMadison USA)
– On-line Adaptative Curriculum Learning for GANs
Thang Doan (McGill University)*; Joao B Monteiro (Institut National de la Recherche
Scientifique); Isabela Albuquerque (Institut National de la Recherche Scientifique); Bogdan
Mazoure (McGill University); Audrey Durand (McGill University); Joelle Pineau (McGill /
Facebook); Devon Hjelm (Microsoft Research)
– When do Words Matter? Understanding the Impact of Lexical Choice on Audience
Perception using Individual Treatment Effect Estimation
Zhao Wang (Illinois Institute of Technology)*; Aron Culotta ()
– Running Time Analysis of MOEA/D with Crossover on Discrete Optimization Problem
Zhengxin Huang (Sun Yat-sen University); Yuren Zhou (Sun Yat-sen University)*; Zefeng Chen
(Sun Yat-sen University ); Xiaoyu He (Sun Yat-sen University)
– Neural Machine Translation with Adequacy-Oriented Learning
Xiang Kong (Carnegie Mellon University)*; Zhaopeng Tu (Tencent AI Lab); Shuming Shi (Tencent
AI Lab); Eduard Hovy (Carnegie Mellon University); Tong Zhang ()
– Multistream Classification with Relative Density Ratio Estimation
Bo Dong (The University of Texas at Dallas)*; Swarup Chandra (UTD); Yang Gao (University of
Texas at Dallas); Latifur Khan (The university of Texas at Dallas)
– SAT-based Explicit LTLf Satisfiability Checking
Jianwen Li (Iowa State University)*; Geguang Pu (East China Normal University); Kristin Rozier
(Iowa State University); Moshe Vardi (Rice University); Yueling Zhang (East China Normal
University)
– Bayesian functional optimisation with shape prior
Pratibha Vellanki (Deakin University)*; Santu Rana (Deakin University, Australia); Sunil Gupta
(Deakin University, Australia); David Rubin (); Alessandra Sutti (); Murray Height (); Svetha
Venkatesh (Deakin University)
– From Recommendation Systems to Facility Location Games
Omer Ben-Porat (Technion – Israel Institute of Technology)*; Gregory Goren (Technion – Israel
Institute of Technology); Moshe Tennenholtz (Technion – Israel Institute of Technology); Itay
Rosenberg (Technion)
– A PAC Framework for Aggregating Agents’ Judgments
Hanrui Zhang (Duke University)*; Vincent Conitzer (Duke)
– ATP: Directed Graph Embedding with Asymmetric Transitivity Preservation
Jiankai Sun (The Ohio state university)*; Bortik Bandyopadhyay (The Ohio State University);
Armin Bashizade (The Ohio State University); Jiongqian LIANG (Google); Ponnuswamy
Sadayappan (The Ohio State University); Srinivasan Parthasarathy (Ohio State University)
– Violence Rating Prediction from Movie Scripts
Victor R Martinez Palacios (University of Southern California)*; Krishna Somandepalli
(University of Southern California); Karan Singla (University of Southern California); Anil K
Ramakrishna (University of Southern California); Yalda Uhls (University of California Los
Angeles); Shrikanth Narayanan (University of Southern California)
– Task Embedded Coordinate Update: A Realizable Framework for Multivariate Non-convex
Optimization
Yiyang Wang (Fudan University)*; Risheng Liu (Dalian University of Technology); Long Ma
(School of Software Technology, Dalian University of Technology); Xiaoliang Song (Dalian
University of Technology)
– “Reverse Gerrymandering”: Manipulation in Multi-Group Decision Making
Omer Lev (Ben Gurion University)*; Yoad Lewenberg (Hebrew University of Jerusalem)
– Understanding Story Characters, Movie Actors and Their Versatility with Gaussian
Representations
Hannah Kim (Georgia Institute of Technology); Denys Katerenchuk (The City University of New
York); Daniel Billet (Independent Actor); Jun Huan (Baidu Research); Haesun Park (Georgia
Tech); Boyang Li (Baidu Research)*
– A Recursive Algorithm for Projected Model Counting
Jean-Marie Lagniez (CRIL-CNRS, U. Artois); Pierre Marquis (CRIL-CNRS, U. Artois & IUF)*
– Algorithms for Average Regret Minimization
Sabine Storandt (University of Wuerzburg)*; Stefan Funke (University of Stuttgart)
– A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in
Multivariate Time Series Data
Chuxu Zhang (University of Notre Dame)*; Dongjin Song (NEC Labs America); Yuncong Chen
(NEC Laboratories America, Inc.); Xinyang Feng (Columbia University); Cristian Lumezanu (NEC
Labs); Wei Cheng (NEC Laboratories America); Jingchao Ni (NEC Laboratories America, Inc.); Bo
Zong (NEC Labs); Haifeng Chen (NEC Labs); Nitesh Chawla (Notre Dame)
– Adjusting Reviewer Scores in Conference Reviewing
Hermann Schichl (University of Vienna); Meinolf Sellmann (GE)*
– Regularizing Neural Machine Translation by Target-bidirectional Agreement
Zhirui Zhang (University of Science and Technology of China)*; Shuangzhi Wu (Harbin Institute
of Technology); Shujie Liu (Microsoft Research Asia); mu li (MSRA); Ming Zhou (Microsoft
Research); Tong Xu (University of Science and Technology of China)
– Multi-Agent Path Finding for Large Agents
Jiaoyang Li (University of Southern California)*; Pavel Surynek (Czech Technical University);
Ariel Felner (BGU); Hang Ma (University of Southern California); T. K. Satish Kumar (University
of Southern California); Sven Koenig (University of Southern California)
– Dynamic Layer Aggregation for Neural Machine Translation
Zi-Yi Dou (Carnegie Mellon University)*; Zhaopeng Tu (Tencent AI Lab); Xing Wang (Tencent AI
Lab); Longyue Wang (Tencent AI Lab); Shuming Shi (Tencent AI Lab); Tong Zhang (Tencent)
– Natural Option Critic
Saket Tiwari (University of Massachusetts, Amherst)*; Philip Thomas (University of
Massachusetts Amherst)
– Random Feature Maps for Itemset Kernel
Kyohei Atarashi (Hokkaido University)*; Subhransu Maji (University of Massachusetts,
Amherst); Satoshi Oyama (Hokkaido University/RIKEN AIP)
– Symmetry Breaking Constraints for Grid-based Multi-Agent Path Finding
Jiaoyang Li (University of Southern California)*; Daniel Harabor (Monash University); Peter. J
Stuckey (The University of Melbourne); Hang Ma (University of Southern California); Sven
Koenig (University of Southern California)
– Fair and Efficient Memory Sharing: Confronting Free Riders
Eric Friedman (ICSI and UC Berkeley); Vasilis Gkatzelis (Drexel University); Christos-Alexandros
Psomas (Carnegie Mellon University)*; Scott Shenker (UC Berkeley, ICSI)
– Network Recasting: A Universal Method for Network Architecture Transformation
Joonsang Yu (Seoul National University); Sungbum Kang (Seoul National University); Kiyoung
Choi (Seoul National University)*
– Dynamic Spatial-Temporal Graph Convolutional Neural Networks for Traffic Forecasting
zu long diao (The State university of New York)*; xin wang (Department of Electrical and
Computer Engineering, Stony Brook University); Dafang Zhang (hunan university); Yingru Liu
(Stony Brook University); kun xie (Hunan University); shaoyao he (Hunan University)
– Deep Robust Unsupervised Multi-Modal Network
Yang Yang (Nanjing University); Yi-Feng Wu (Nanjing University); De-Chuan Zhan (Nanjing
University)*; Zhi-Bin Liu (Tecent WXG); Yuan Jiang (Nanjing University)
– Interleave Variational Optimization with Monte Carlo Sampling: A Tale of Two
Approximate Inference Paradigms
Qi Lou (UCI)*; Rina Dechter (UC Irvine); Alexander Ihler (UC Irvine)
– Declarative Question Answering over Knowledge Bases containing Natural Language Text
with Answer Set Programming
Arindam Mitra (Arizona State University)*; Peter Clark (Allen Institute for AI); Oyvind Tafjord
(AI2); Chitta Baral (Arizona State University)
– Probabilistic Logic Programming with Beta-Distributed Random Variables
Federico Cerutti (Cardiff University)*; Lance Kaplan (U.S. Army Research Laboratory); Angelika
Kimmig (Cardiff University); Murat Sensoy (Ozyegin University)
– Embedding-based Complex Feature Value Coupling Learning for Detecting Outliers in
Non-IID Categorical Data
Hongzuo Xu (College of Computer, National University of Defense Technology)*; Yongjun Wang
(College of Computer, National University of Defense Technology); Zhiyue Wu ( College of
Computer, National University of Defense Technology); Yijie Wang (" National University of
Defense Technology, China")
– LabelForest: Non-Parametric Semi-Supervised Learning for Activity Recognition
Yuchao Ma (Washington State University)*; Hassan Ghasemzadeh (Washington State
University)
– Learning Dynamic Generator Model by Alternating Back-Propagation
Jianwen Xie (Hikvision)*; Ruiqi Gao (UCLA); Zilong Zheng (UCLA); Song-Chun Zhu (UCLA); Ying
Nian Wu (University of California, Los Angeles)
– Connecting Language to Images: A Progressive Attention-Guided Network for
Simultaneous Image Captioning and Language Grounding
Lingyun Song (Xi’an JiaoTong University)*; Jun Liu (Xi’an Jiaotong Univerisity); Buyue Qian (Xi’an
Jiaotong University); Yihe Chen (University of Toronto)
– Multi-Level Deep Cascade Trees for Conversion Rate Prediction in Recommendation
System
Hong Wen (Alibaba); Jing Zhang (University of Technology Sydney); Quan Lin (Alibaba); Keping
Yang (Alibaba)*; Pipei Huang (Alibaba)
– Congestion Graphs for Automated Time Predictions
Arik Senderovich (University of Toronto)*; Christopher Beck (University of Toronto); Avigdor Gal
(Technion); Matthias Weidlich (Humboldt-Universität zu Berlin)
– A Topic-Aware Reinforced Model for Weakly Supervised Stance Detection
Penghui Wei (Institute of Automation, Chinese Academy of Sciences)*; Wenji Mao (Institute of
Automation, Chinese Academic of Sciences); Guandan Chen (Institute of Automation, Chinese
Academic of Sciences)
– Heuristic Search Algorithm for Dimensionality Reduction Optimally Combining Feature
Selection and Feature Extraction
Baokun He (University of Texas at Dallas)*; Swair Shah (University of Texas at Dallas); Crystal
Maung (University of Texas at Dallas); Gordon Arnold (University of Texas at Dallas); Guihong
Wan (University of Texas at Dallas); Haim Schweitzer (University of Texas at Dallas)
– DeepCF: A Unified Framework of Representation Learning and Matching Function
Learning in Recommender System
Zhihong Deng (Sun Yat-sen University); Ling Huang (Sun Yat-sen University); Chang-Dong Wang
(Sun Yat-sen University)*; Jian-Huang Lai (Sun Yat-sen University); Philip S Yu (UIC)
– Random Dictators with a Random Referee: Constant Sample Complexity Mechanisms for
Social Choice
Brandon T Fain (Duke University)*; Ashish Goel (Stanford University); Kamesh Munagala (Duke
University); Nina Prabhu (North Carolina School of Science and Mathematics)
– Answer Identification from Product Reviews for User Questions by Multi-task Attentive
Networks
Long Chen (Northwest University of China)*; Ziyu Guan (Northwest University); Wei Zhao
(Xidian University); Wanqing Zhao (Northwest University of China); Xiaopeng Wang (Huawei
Technologies); Zhou Zhao (Zhejiang University); Huan Sun (Ohio State University)
– Exploiting Local Feature Patterns for Unsupervised Domain Adaptation
Jun Wen (Zhejiang University)*; Nenggan Zheng (Zhejiang University); Risheng Liu (Dalian
University of Technology); Qian Dr. Zheng (Zhejiang University, China); Zhefeng Gong (Zhejiang
University); Junsong Yuan (“State University of New York at Buffalo, USA”)
– Weakly-Supervised Hierarchical Text Classification
Yu Meng (University of Illinois at Urbana-Champaign)*; Jiaming Shen (University of Illinois at
Urbana-Champaign); Chao Zhang (University of Illinois, Urbana Champaign); Jiawei Han (UIUC)
– Convex Formulations for Fair Principal Component Analysis
Mahbod Olfat (UC Berkeley)*; Anil Aswani (UC Berkeley)
– Acting and Planning Using Operational Models
Sunandita Patra (University of Maryland, College Park)*; Malik Ghallab (LAAS-CNRS); Dana Nau
(University of Maryland); Paolo Traverso (Fondazione Bruno Kessler (FBK))
– Learning Transferable Self-attentive Representations for Action Recognition in
Untrimmed Videos with Weak Supervision
Xiao-Yu Zhang (Institute of Information Engineering, Chinese Academy of Sciences); Haichao Shi
(Institute of Information Engineering, Chinese Academy of Sciences)*; Changsheng Li
(University of Electronic Science and Technology of China); Xiaobin Zhu (Beijing Technology and
Business University); Lixin Duan (University of Electronic Science and Technology of China); Kai
Zheng (University of Electronic Science and Technology of China)
– Compiling Bayesian Network Classifiers into Decision Graphs
Andy Shih (UCLA)*; Arthur Choi (UCLA); Adnan Darwiche (UCLA)
– ACE: An Actor Ensemble Algorithm for Continuous Control with Tree Search
Shangtong Zhang (University of Alberta)*; Hengshuai Yao (Huawei Technologies)
– Partial Label Learning via Label Enhancement
Ning Xu ()*; Jiaqi Lv (Southeast University); Xin Geng (Southeast University)
– DialogueRNN: An Attentive RNN for Emotion Detection in Conversations
Navonil Majumder (IPN, Mexico); Soujanya Poria (Nanyang Technological University)*;
Devamanyu Hazarika (NUS, Singapore); Rada Mihalcea (University of Michigan); Erik Cambria
(Nanyang Technological University, Singapore); Alexander Gelbukh (Instituto Politécnico
Nacional)
– Learning Fully Dense Neural Networks for Image Semantic Segmentation
Mingmin Zhen (Hong Kong University of Science and Technology)*; Jinglu Wang (HKUST); Lei
Zhou (HKUST); Tian Fang (HKUST); Long Quan (Hong Kong University of Science and
Technology)
– Robust Deep Co-Saliency Detection with Group Semantic
Chong Wang (Institute of Intelligent Machines, Chinese Academy of Sciences); Zheng-Jun Zha
(University of Science and Technology of China)*; Dong Liu (University of Science and
Technology of China); Hongtao Xie (University of Science and Technology of China)
– QUOTA: The Quantile Option Architecture for Reinforcement Learning
Shangtong Zhang (University of Alberta)*; Hengshuai Yao (Huawei Technologies)
– ParaBank: Monolingual Bitext Generation and Sentential Paraphrasing via Lexicallyconstrained Neural Machine Translation
J. Edward Hu (Johns Hopkins University)*; Rachel Rudinger (Johns Hopkins University); Matt
Post (Johns Hopkins University); Benjamin Van Durme (Johns Hopkins University)
– Smooth Deep Image Generator from Noises
Tianyu Guo (Peking University)*; Chang Xu (University of Sydney); Boxin Shi (Peking University);
Chao Xu (Peking University); Dacheng Tao (University of Sydney)
– Attentive Tensor Product Learning
Qiuyuan Huang (Microsoft Research AI)*; Li Deng (Citadel); Dapeng Wu (University of Florida);
Chang Liu (UC Berkeley); Xiaodong He (JD AI Research)
– Complex Moment-Based Supervised Eigenmap for Dimensionality Reduction
Akira Imakura (University of Tsukuba)*; Momo Matsuda (University of Tsukuba); Xiucai Ye
(University of Tsukuba); Tetsuya Sakurai (University of Tsukuba)
– Task-Driven Common Representation Learning via Bridge Neural Network
Xueshuang Xiang (Qian Xuesen Laboratory of Space Technology)*; Yao Xu (Qian Xuesen
Laboratory of Space Technology); Meiyu Huang (Qian Xuesen Laboratory of Space Technology,
China Academy of Space Technology, Beijing, China)
– HAS-QA: Hierarchical Answer Spans Model for Open-domain Question Answering
liang pang (ICT)*; Yanyan Lan ( Institute of Computing Technology); Jiafeng Guo (Institute of
Computing Technology, Chinese Academy of Sciences); Jun Xu (Renmin University of China);
Lixin Su (ICT); Xueqi Cheng (Institute of Computing Technology, CAS, China)
– Efficient Data Point Pruning for One-Class SVM
Yasuhiro Fujiwara (NTT Software Innovation Center)*; Sekitoshi Kanai (NTT Software Innovation
Center); Junya Arai (NTT); Yasutoshi Ida (NTT); Naonori Ueda (NTT)
– R(\textrm{S}^3)CIS: Robust Single-Step Spectral Clustering with Intrinsic Subspace
Yun Xiao (NorthWest University); Pengzhen Ren (NorthWest University)*; Zhihui Li (University
of New South Wales); Xiaojiang Chen (NorthWest University); Xin Wang (NorthWest University);
Dingyi Fang (NorthWest University)
– Hierarchically Structured Reinforcement Learning for Topically Coherent Visual Story
Generation
Qiuyuan Huang (Microsoft Research AI)*; Zhe Gan (Microsoft); Asli Celikyilmaz (Microsoft
Research); Dapeng Wu (University of Florida); Jianfeng Wang (Microsoft Research); Xiaodong
He (JD AI Research)
– Online Convex Optimization for Sequential Decision Processes and Extensive-Form Games
Gabriele Farina (Carnegie Mellon University)*; Christian Kroer (Carnegie Mellon University);
Tuomas Sandholm (Carnegie Mellon University)
– Dual-view Ranking with Hardness Assessment for Zero-shot Learning
Yuchen Guo (Tsinghua University)*; guiguang ding (Tsinghua University, China); Jungong Han
(Lancaster University); Xiaohan Ding (Tsinghua University); Sicheng Zhao (University of
California Berkeley); Zheng Wang (University of Science and Technology Beijing); Chenggang
Yan (Hangzhou Dianzi University); Qionghai Dai (Tsinghua University)
– Generating Character Descriptions for Automatic Summarization of Fiction
Weiwei Zhang (McGill University)*; Jackie Chi Kit Cheung (); Joel Oren (Yahoo! Research)
– Image Aesthetic Assessment Assisted by Attributes through Adversarial Learning
Bowen Pan (University of Science and Technology of China); Shangfei Wang (University of
Science and Technology of China)*; jiang qi sheng (University of Science and Technology of
China)
– Hashtag Recommendation for Photo Sharing Services
Suwei Zhang (Nanjing University)*; Yuan Yao (Nanjing University); Feng Xu (Nanjing University);
Hanghang Tong (Arizona State University); Xiaohui Yan (Huawei Technologies); Jian Lv (Nanjing
University)
– Spatial and Temporal Mutual Promotion for Video-based Person Re-identification
Yiheng Liu (University of Science and Technology of China)*; Zhenxun Yuan (Purdue University);
Wengang Zhou (University of Science and Technology of China); Houqiang Li (University of
Science and Technology of China)
– Joint Extraction of Entities and Overlapping Relations using Position-Attentive Sequence
Labeling
Dai Dai (Baidu Inc.)*; Xinyan Xiao (Baidu); Yajuan Lyu (Baidu Inc.); Qiaoqiao She (Baidu Inc.);
Shan Dou (Tsinghua University); Haifeng Wang (Baidu)
– Generating Multiple Diverse Responses for Short-Text Conversation
Jun Gao (Soochow University); Wei Bi (TBD)*; Xiaojiang Liu (Tencent AI Lab); Junhui Li (Soochow
University); Shuming Shi (Tencent AI Lab)
– Asynchronous Proximal Stochastic Gradient Algorithm for Composition Optimization
Problems
Pengfei Wang (Zhejiang University)*; Nenggan Zheng (Zhejiang University); Risheng Liu (Dalian
University of Technology); Zhefeng Gong (Zhejiang University)
– 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 Tasks
Haohan Wang (Carnegie Mellon University)*; Da Sun (Southeast University); Eric Xing (Petuum
Inc. and CMU)
– f-Similarity Preservation Loss for Soft Labels: A Demonstration on Cross-Corpus Speech
Emotion Recognition
Biqiao Zhang (University of Michigan)*; Yuqing Kong (Peking University); Georg Essl (University
of Wisconsin, Milwaukee); Emily K Mower Provost (University of Michigan)
– A Domain Generalization Perspective on Listwise Context Modeling
Lin Zhu (Ctrip)*; Yihong Chen (Ctrip); Bowen He (Ctrip)
– On Sampling Complexity of the Semidefinite Affine Rank Feasibility Problem
Igor Molybog (UC Berkeley)*; Javad Lavaei (UC Berkeley)
– Angular Triplet-Center Loss for Multi-view 3D Shape Retrieval
Zhaoqun Li (Beihang University); Cheng Xu (Beihang University)*; Biao Leng (Beihang University)
– Neural Collective Graphical Models for Estimating Spatio-temporal Population Flow from
Aggregated Data
Tomoharu Iwata (NTT Communication Science Laboratories)*; Shimizu Hitoshi (NTT
Communication Science Laboratories)
– Automatic Construction of Parallel Portfolios via Explicit Instance Grouping
Shengcai Liu (University of Science and Technology of China)*; Ke Tang (Southern University of
Science and Technology); Xin Yao (Southern University of Science and Technology)
– Understanding VAEs in Fisher-Shannon Plane
Huangjie Zheng (Shanghai Jiao Tong University)*; Jiangchao Yao (Cooperative Medianet
Innovation Center, Shang hai Jiao Tong University); Ya Zhang (Cooperative Medianet Innovation
Center, Shang hai Jiao Tong University); Ivor Tsang (University of Technology Sydney); jia Wang
(Shanghai Jiao Tong University)
– Latent Dirichlet Allocation for Internet Price War
Chenchen Li (Shanghai Jiao Tong University)*; Xiang Yan (Shanghai Jiao Tong University); Xiaotie
Deng (Shanghai Jiao Tong University); Yuan Qi (Ant Financial Services Group); Wei CHU (Ant
Financial); Le Song (Ant Financial Services Group); Junlong Qiao (Ant Financial Services Group);
Jianshan He (Ant Financial Services Group); Junwu Xiong (Ant Financial Services Group)
– Multiple Saliency and Channel Sensitivity Network for Aggregated Convolutional Feature
Xuanlu Xiang (School of Communication and Information Engineering, Beijing University of
Posts and Telecommunications)*; Zhipeng Wang (School of Communication and Information
Engineering, Beijing University of Posts and Telecommunications); Zhicheng Zhao (bupt); Fei Su
(Beijing University of Posts and Telecommunications)
– Precision-Recall versus Accuracy and the Role of Large Data Sets
Hai S Le (WASHINGTON UNIVERSITY ST LOUIS)*; Brendan Juba (WASHINGTON UNIVERSITY ST
LOUIS)
– Exploiting the Ground-Truth: An Adversarial Imitation Based Knowledge Distillation
Approach for Event Detection
Jian Liu (IACAS)*; Yubo Chen (Institute of Automation, Chinese Academy of Sciences); Kang Liu
(Institute of Automation, Chinese Academy of Sciences)
– DeepETA: A Spatial-temporal Sequential Neural Network Model for Estimating Time of
Arrival in Package Delivery System
fan wu (Cainiao Ltd.)*; lixia wu (Cainiao Ltd. )
– Deep Short Text Classification with Knowledge Powered Attention
Jindong Chen (Fudan University)*; Yizhou Hu (Fudan University); Jingping Liu (Fudan University);
Yanghua Xiao (Fudan University); Haiyun Jiang (Fudan university)
– LENA: Locality-Expanded Neural Embedding for Knowledge Base Completion
Fanshuang Kong (Beihang University); Richong Zhang (“Beihang University, China”)*; Yongyi
Mao (University of Ottawa); Ting Deng (" Beihang University, China")
– Optimizing Discount & Reputation Trade-offs in E-commerce Systems: Characterization
and Online Learning
Hong Xie (The Chinese University of Hong Kong)*; Yongkun Li (University of Science and
Technology of China); John C. S. Lui (The Chinese University of Hong Kong)
– DeepDPM: Dynamic Population Mapping via Deep Neural Network
Zefang Zong (Tsinghua University); Jie Feng (Tsinghua University); Kechun Liu (Tsinghua
University); Hongzhi Shi (Tsinghua University); Yong Li (Tsinghua University)*
– Community Focusing: Yet Another Query-Dependent Community Detection
Zhuo Wang (Institute of Information Engineering, CAS; School of Cyber Security, UCAS)*;
Chaokun Wang (Tsinghua University); Weiping Wang (Institute of Information Engineering, CAS,
China); Xiaoyan Gu (Chinese Academy of Sciences); Bo Li ( Institute of Information Engineering,
Chinese Academy of Sciences); Dan Meng (Institute of Information Engineering, CAS)
– Weighted Oblique Decision Trees
Bin-Bin Yang (Nanjing University)*; Song-Qing Shen (Nanjing University); Wei Gao (Nanjing
Univ)
– Counterfactual Randomization: Rescuing Experimental Studies from Obscured
Confounding
Andrew Forney (Loyola Marymount University)*; Elias Bareinboim (Purdue University)
– A Layer Decomposition-Recomposition Framework for Neuron Pruning towards Accurate
Lightweight Networks
Weijie Chen (Hikvision Research Institute); Di Xie (Hikvision Research Institute)*; Yuan Zhang
(Hikvision Research Institute); Shiliang Pu (Hikvision Research Institute)
– FLEX: Faithful Linguistic Explanations for Neural Net based Model Decisions
Sandareka Wickramanayake (National University of Singapore); Wynne Hsu (National University
of Singapore); Lee Mong Li (National University of Singapore)*
– Markov Random Field meets Graph Convolutional Network: End-to-End Learning for
Semi-Supervised Community Detection
Di Jin (Tianjin University)*; Ziyang Liu (Tianjin University); Weihao Li (Visual Learning Lab,
Heidelberg University); Dongxiao He (Tianjin University ); Weixiong Zhang (Washington
University at Saint Louis)
– Antonym-Synonym Classification based on New Sub-space Embeddings
Muhammad Asif Ali (CSE, UNSW)*; Yifang Sun (University of New South Wales); Wei Wang
(University of New South wales); Xiang Zhao (National University of Defence Technology);
Xiaoling Zhou (University of New South Wales)
– Large-Scale Heterogeneous Feature Embedding
Xiao Huang (Texas A&M University)*; Qingquan Song (Texas A&M University); Fan Yang (Texas
A&M University); Xia Hu (Texas A&M University)
– Curse of Concentration in Robust Learning: Evasion and Poisoning Attacks from
Concentration of Measure
Saeed Mahloujifar (University of Virginia); Dimitrios I Diochnos (University of Virginia);
Mohammad Mahmoody (University of Virginia)*
– Incorporating Semantic Similarity with Geographic Correlation for Query-POI Relevance
Learning
Ji Zhao (Didi Chuxing)*; Dan Peng (Didi Chuxing); Chuhan Wu (MU); Huan Chen (Didi Chuxing);
Meiyu Yu (Didi Chuxing); Wanji Zheng (Didi Chuxing); Li Ma (Didi Chuxing); Hua Chai (Didi
Chuxing); Xiaohu Qie (Didi Chuxing); Jieping Ye (Didi Chuxing)
– Multi-CGN: Graph Convolutional Networks for Multi-View Networks, with Applications to
Global Poverty
Muhammad R Khan (UC Berkeley)*; Joshua Blumenstock (University of California, Berkeley)
– On Reinforcement Learning for Full-length Game of StarCraft
Zhen-Jia Pang (Nanjing University); Ruo-Ze Liu (Nanjing University); Zhou-Yu Meng (Nanjing
University); Yi Zhang (Nanjing University); Yang Yu (Nanjing University)*; Tong Lu (Nanjing
University)
– Quantifying Uncertainties in Natural Language Processing Tasks
Yijun Xiao (UCSB)*; William Wang (UC Santa Barbara)
– MFPCA: Multiscale Functional Principal Component Analysis
Zhenhua Lin (UC Davis)*; Hongtu Zhu (UNC Chapel Hill)
– Visual Place Recognition via Simultaneously Minimizing and Maximizing p-Order L2-Norm
Distances with Non-greedy Strictly Orthogonal Solutions
Kai Liu (Colorado School of Mines); Hua Wang (Colorado School of Mines)*; Fei Han (Colorado
School of Mines); Hao Zhang (Colorado School of Mines)
– Data-Distortion Guided Self-Distillation for Deep Neural Networks
Ting-Bing Xu (Institute of Automation of Chinese Academy of Sciences)*; Cheng-lin liu (Institute
of Automation of Chinese Academy of Sciences)
– Covariate Shift Adaptation on Learning from Positive and Unlabeled Data
Tomoya Sakai (NEC Corporation)*; Nobuyuki Shimizu (Yahoo Japan Corporation)
– Comparative Summarisation of Document Collections
Umanga Bista (Australian National University)*; Alexander Mathews (Australian National
University); Minjeong Shin (Australian National University); Aditya Menon (Australian National
University); Lexing Xie (Australian National University)
– Partially Observable Multi-Sensor Sequential Change Detection: A Combinatorial MultiArmed Bandit Approach
Chen Zhang (Tsinghua University)*; Steven Hoi (SMU)
– Understanding Persuasion Cascades in Online Product Rating Systems
Hong Xie (The Chinese University of Hong Kong)*; Yongkun Li (University of Science and
Technology of China); John C. S. Lui (The Chinese University of Hong Kong)
– Generating Chinese Ci with Designated Metrical Structure
Richong Zhang (“Beihang University, China”)*; Xinyu Liu (University of Ottawa); Xinwei Chen
(University of Ottawa); Zhiyuan Hu (Beijing University of Chemical Technology); Zhaoqing Xu
(Beihang University); Yongyi Mao (University of Ottawa)
– Distributed Representation of Words in Cause and Effect Spaces
Zhipeng Xie (Fudan University)*; Feiteng Mu (Fudan University)
– ClusterGAN : Latent Space Clustering in Generative Adversarial Networks
Sudipto Mukherjee (University of Washington)*; Himanshu Asnani (University of Washington,
Seattle); Eugene Lin (University of Washington); Sreeram Kannan (University of Washington)
– Unknown Agents in Friends Oriented Hedonic Games: Stability and Complexity
Nathanaël Barrot (Riken AIP, Kyushu University)*; Kazunori Ota (Kyushu University); Yuko
Sakurai (AIST); Makoto Yokoo (Kyushu University, Japan)
– Domain Agnostic Real-Valued Specificity Prediction
Wei-Jen Ko (UT)*; Greg Durrett (UT Austin); Junyi Jessy Li (University of Texas at Austin)
– Biomedical Image Segmentation via Representative Annotation
Hao Zheng (University of Notre Dame)*; Lin Yang (University of Notre Dame); Jianxu Chen (Allen
Institute for Cell Science); Jun Han (University of Notre Dame); Yizhe Zhang (University of Notre
Dame); Peixian Liang (University of Notre Dame); Zhuo Zhao (University of Notre Dame); Chaoli
Wang (University of Notre Dame); Danny Z Chen (University of Notre Dame)
– BiHMP-GAN: Bidirectional 3D Human Motion Prediction GAN
Jogendra Nath Kundu (Indian Institute of Science)*; Maharshi Gor (Indian Institute of Science);
Venkatesh Babu RADHAKRISHNAN (Indian Institute of Science)
– Robust Multi-Agent Reinforcement Learning via Minimax Deep Deterministic Policy
Gradient
Shihui Li (Carnegie Mellon); Yi Wu (UC Berkeley)*; Xinyue Cui (Tsinghua University); Honghua
Dong (Tsinghua University); Fei Fang (Carnegie Mellon); Stuart Russell (UC Berkeley)
– Insufficient Data Can Also Rock！Learning to Converse Using Smaller Data with
Augmentation
Juntao Li (Peking University); Lisong Qiu (Peking University); Bo Tang (Southern University of
Science and Technology); min D Chen (pku.edu.cn); Dongyan Zhao (Peking University); Rui Yan
(Peking University)*
– Approximate Inference of Outcomes in Probabilistic Elections
Batya Kenig (University of Washington)*; Benny Kimelfeld (Technion)
– The Utility of Sparse Representations for Control in Reinforcement Learning
Vincent Liu (University of Alberta); Raksha Kumaraswamy (University of Alberta)*; Lei Le
(Indiana University Bloomington); Martha White (University of Alberta)
– Learning to Write Creative Stories with Thematic Consistency
Juntao Li (Peking University); Lidong Bing (Tencent AI Lab); Lisong Qiu (Peking University); min
D Chen (pku.edu.cn); Dongyan Zhao (Peking University); Rui Yan (Peking University)*
– Few-Shot Image and Sentence Matching via Gated Visual-Semantic Embedding
Yan Huang (Institute of Automation, Chinese Academy of Sciences)*; Yang Long (Newcastle
University); Liang Wang (NLPR, China)
– Pareto Optimization for Subset Selection with Dynamic Cost Constraints
Vahid Roostapour (The University of Adelaide)*; Aneta Neumann (The University of Adelaide,
School of Computer Science, Faculty of Engineering, Computer and Mathematical Science );
Frank Neumann (The University of Adelaide, School of Computer Science, Faculty of
Engineering, Computer and Mathematical Science); Tobias Friedrich (Hasso Plattner Institute)
– Modelling of Bi-directional Spatio-Temporal Dependence and Users’ Dynamic Preferences
for Missing POI Check-in Identification
Dongbo Xi (Institute of Computing Technology, Chinese Academy of Sciences)*; Fuzhen Zhuang
(Institute of Computing Technology, Chinese Academy of Sciences); Yanchi Liu (Rutgers
University); Jingjing Gu (Nanjing University of Aeronautics and Astronautics); Hui Xiong (the
State University of New Jersey); Qing He (Institute of Computing Technology, Chinese Academy
of Sciences)
– Implicit Argument Prediction as Reading Comprehension
Pengxiang Cheng (The University of Texas at Austin)*; Katrin Erk (University of Texas)
– Searching with Consistent Prioritization for Multi-Agent Path Finding
Hang Ma (University of Southern California)*; Daniel Harabor (Monash University); Peter. J
Stuckey (The University of Melbourne); Jiaoyang Li (University of Southern California); Sven
Koenig (University of Southern California)
– Self-Ensembling Attention Networks: Addressing Domain Shift for Semantic
Segmentation
Yonghao Xu (Wuhan University)*; Du Bo (Wuhan University); Lefei Zhang (Wuhan University);
Qian Zhang (Horizon Robotics); Guoli Wang (Horizon Robotics); Liangpei Zhang ( Wuhan
University)
– Recursively Learning Causal Structures Using Regression-based Conditional Independence
Test
Hao Zhang (Fudan University); Shuigeng Zhou (Fudan University)*; Chuanxu Yan (Fudan
University); Jihong Guan (Tongji University); Xin Wang (University of Calgary, Canada)
– Approximate Kernel Selection with Strong Approximate Consistency
Lizhong Ding (Inception Institute of Artificial Intelligence)*; Shizhong Liao (Tianjin University);
Yong Liu (Institute of Information Engineering, CAS); PENG YANG (KAUST); Yu Li (King Abdullah
University of Science and Technology); Yijie Pan (Ningbo Institute of Computing Technology,
Chinese Academy of Sciences); Chao Huang (Ningbo Institute of Information Technology
Application, Chinese Academy of Sciences); Ling Shao (Inception Institute of Artificial
Intelligence); Xin Gao (Kaust)
– RecurJac : An Efficient Recursive Algorithm for Bounding Jacobian Matrix of General
Neural Networks and Its Applications
Huan Zhang (UCLA)*; Pengchuan Zhang (Microsoft Research AI); Cho-Jui Hsieh (UCLA, Google
Research)
– Frame and Feature-Context Video Super-Resolution
Bo Yan (Fudan University)*; Chuming Lin (Fudan University); Weimin Tan (Fudan University)
– Improving Optimization Bounds using Machine Learning: Decision Diagrams meet Deep
Reinforcement Learning
Quentin Cappart (Polytechnique Montréal)*; Emmanuel Goutierre (Ecole Polytechnique); David
Bergman (University of Connecticut); Louis-Martin Rousseau (Polytechnique Montréal)
– Crawling the Community Structure of Multiplex Networks
Ricky Laishram (Syracuse University)*; Jeremy D Wendt (Sandia National Laboratories); Sucheta
Soundarajan (Syracuse University)
– Spatiality Preservable Factored Poisson Regression for Large Scale Fine Grained GPSbased Population Analysis
Masamichi Shimosaka (Tokyo Institute of Technology); Yuta Hayakawa (Tokyo Institute of
Technology)*; Kota Tsubouchi (Yahoo Japan Corporation)
– Robust Ordinal Embedding from Contaminated Relative Comparisons
Ke Ma (Institute of Information Engineering，Chinese Academy of Sciences); Qianqian Xu (Key
Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese
Academy of Sciences); Xiaochun Cao (Chinese Academy of Sciences)*
– Learning Compact Model for Large-Scale Multi-Label Data
Tong Wei (Nanjing University)*; Yu-Feng Li (Nanjing University)
– Efficient Identification of Approximate Best Configuration of Training in Large Datasets
Silu Huang (university of illinois, urbana-Champaign)*; Chi Wang (Microsoft Research); Bolin
Ding (Alibaba Group); Surajit Chaudhuri (Microsoft Research)
– Unsupervised Controllable Text Formalization
Parag Jain (IBM Research AI); Abhijit Mishra (IBM Research AI)*; Amar Prakash Azad (IBM
Research AI); Karthik Sankaranarayanan (IBM Research)
– Model-based Diagnosis of Hybrid Systems using Satisfiability Modulo Theory
Alexander Diedrich (Fraunhofer IOSB-INA)*; Alexander Maier (Fraunhofer IOSB-INA); Oliver
Niggemann (University OWL)
– Supervised User Ranking in Signed Social Networks
Xiaoming Li (Nanyang Technological University)*; Hui Fang (Shanghai University of Finance and
Economics); Jie Zhang (Nanyang Technological University)
– Complexity of Inconsistency-Tolerant Query Answering in Datalog+/- under CardinalityBased Repairs
Thomas Lukasiewicz (University of Oxford)*; Enrico Malizia (University of Exeter); Andrius
Vaicenavicius (University of Oxford)
– Devil in the Details: Towards Accurate Single and Multiple Human Parsing
Tao Ruan (Beijjing Jiaotong University)*; Ting Liu (Beijing Jiaotong University); Zilong Huang
(Huazhong Univ. of Science and Technology); Yunchao Wei (UIUC); Shikui Wei (Beijing Jiaotong
University); Yao Zhao (Beijing Jiaotong University)
– What and Where the Themes Dominate in Image
Xinyu Xiao (National Laboratory of Pattern recognition (NLPR), Institute of Automation of
Chinese Academy of Sciences (CASIA))*; Lingfeng Wang (Institute of Automation, Chinese
Academy of Sciences); SHIMING XIANG (Chinese Academy of Sciences, China); Chunhong Pan
(Institute of Automation, Chinese Academy of Sciences)
– One-Pass Incomplete Multi-view Clustering
Menglei Hu (Nanjing University of Aeronautics and Astronautics); Songcan Chen (Nanjing
University of Aeronautics and Astronautics)*
– Linear Kernel Tests via Empirical Likelihood for High Dimensional Data
Lizhong Ding (Inception Institute of Artificial Intelligence)*; Zhi Liu (); Yu Li (King Abdullah
University of Science and Technology); Shizhong Liao (Tianjin University); Yong Liu (Institute of
Information Engineering, CAS); PENG YANG (KAUST); Ge Yu (Technology and Engineering Center
for Space Utilization, Chinese Academy of Sciences); Ling Shao (Inception Institute of Artificial
Intelligence); Xin Gao (Kaust)
– Exploring Answer Stance Detection with Recurrent Conditional Attention
Jianhua Yuan (Harbin Institute of Technology)*; Yanyan Zhao (Harbin Institute of Technology);
Bing Qin (Harbin Institute of Technology); Jingfang Xu (Sogou Technology Inc.)
– Refining Coarse-grained Spatial Data using Auxiliary Spatial Data Sets with Various
Granularities
Yusuke Tanaka (NTT)*; Tomoharu Iwata (NTT Communication Science Laboratories); Toshiyuki
Tanaka (); Takeshi Kurashima (NTT); Maya Okawa (NTT); Hiroyuki Toda (NTT Corporation)
– Separator-based Pruned Dynamic Programming for Steiner Tree
Yoichi Iwata (National Institute of Informatics)*; Takuto Shigemura (The University of Tokyo)
– Dynamic Learning of Sequential Choice Bandit Problem under Marketing Fatigue
Junyu Cao (University of California, Berkeley)*; Wei Sun (IBM Research)
– Context-Aware Self-Attention Networks
Baosong Yang (University of Macau)*; Jian LI (The Chinese University of Hong Kong); Derek F.
Wong (Natural Language Processing & Portuguese & Chinese Machine Translation Lab,
Department of Computer and Information Science, University of Macau); Lidia S. Chao
(University of Macau); Xing Wang (Tencent AI Lab); Zhaopeng Tu (Tencent AI Lab)
– MRes-RGNN: A Novel Deep Learning based Framework for Traffic Prediction
Cen Chen (Hunan University); Kenli Li (Hunan University); Singee Teo (I2R); Xiaofeng Zou (Hunan
University); Kang Wang (Hunan University); Jie Wang (I2R); Zeng Zeng (I2R)*
– Querying Attributed DL-Lite Ontologies using Provenance Semirings
Camille Bourgaux (Télécom ParisTech); Ana Ozaki (Free University of Bozen-Bolzano)*
– Belief Change and Non-monotonic Reasoning sans Compactness
Jandson S Ribeiro (Macquarie University)*; Abhaya Nayak (Macquarie University); Renata
Wasserman (Universidade de São Paulo)
– Translating with Bilingual Topic Knowledge for Neural Machine Translation
Xiangpeng Wei (Institute of Information Engineering,Chinese Academy of Sciences)*; Yue Hu (
Institute of Information Engineering,Chinese Academy of Sciences); Luxi Xing (Institute of
Information Engineering, Chinese Academy of Sciences); Yipeng Wang (Institute of Information
Engineering,Chinese Academy of Sciences); Li Gao (Online Media Group, Tencent, Beijing)
– DeepCCFV: Camera Constraint-Free Multi-View Convolutional Neural Network for 3D
Object Retrieval
Zhengyue Huang (Tsinghua University)*; Zhehui Zhao (Tsinghua University); Hengguang Zhou
(University of Toronto); Xibin Zhao (Tsinghua University); Yue Gao (Tsinghua University)
– Counting and Sampling from Markov Equivalent DAGs Using Clique Trees
AmirEmad Ghassami (UIUC)*; Saber Salehkaleybar (Sharif University of Tech.); Negar Kiyavash
(University of Illinois at Urbana-Champaign); Kun Zhang (Carnegie Mellon University)
– DTMT: A Novel Deep Transition Architecture for Neural Machine Translation
Fandong Meng (Tencent WeChat AI - Pattern Recognition Center Tencent Inc.)*; Jinchao Zhang
(Tencent)
– Stepping Stones to Inductive Synthesis of Low-Level Looping Programs
Christopher D. Rosin (Parity Computing)*
– Deep Hierarchical Graph Convolution for Election Prediction from Geospatial Census Data
Mike Li (University of Sydney); Elija Perrier (University of Technology, Sydney)*; Chang Xu
(University of Sydney)
– Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base
Question Answering
Yang Deng (Peking University Shenzhen Graduate School)*; Ying Shen (Peking University
Shenzhen Graduate School); Yaliang Li (Tencent Medical AI Lab); Yuexiang Xie (Peking University
Shenzhen Graduate School); Min Yang ( Chinese Academy of Sciences); Nan Du (Tencent
Medical AI Lab); Wei Fan (Tencent); Kai Lei (peking university)
– Validation of Growing Knowledge Graphs by Abductive Text Evidences
Jianfeng Du (Guangdong University of Foreign Studies)*; Jeff Z. Pan (University of Aberdeen);
Sylvia Wang (University of Aberdeen); Kunxun Qi (Guangdong University of Foreign Studies);
Yuming SHEN (Guangdong University of Foreign Studies); Yu Deng (IBM Research)
– Computing a Quasi-Perfect Stackelberg Equilibrium
Alberto Marchesi (Politecnico di Milano); Gabriele Farina (Carnegie Mellon University); Christian
Kroer (Carnegie Mellon University); Nicola Gatti (Politecnico di Milano)*; Tuomas Sandholm
(Carnegie Mellon University)
– Differentiated Distribution Recovery for Neural Text Generation
Jianing Li (Institute of Computing Technology, Chinese Academy of Sciences)*; Yanyan Lan (
Institute of Computing Technology); Jiafeng Guo (Institute of Computing Technology, Chinese
Academy of Sciences); Xu Jun (Institute of Computing Technology, Chinese Academy of
Sciences); Xueqi Cheng (Institute of Computing Technology, CAS, China)
– X-DMM: Fast and Scalable Model Based Text Clustering
Linwei Li (Fudan University)*; Liangchen Guo (Fudan University); Zhenying He (" Fudan
University, China"); Yinan Jing (Fudan University); X. Sean Wang (Fudan University)
– Structured Two-stream Attention Network for Video Question Answering
Lianli Gao (The University of Electronic Science and Technology of China); Pengpeng Zeng
(University of Electronic Science and Technology of China (UESTC)); Jingkuan Song (UESTC)*;
Yuan-Fang Li (Monash University); Wu Liu (JD AI Research); Tao Mei (AI Research of JD.com);
Heng Tao Shen (University of Electronic Science and Technology of China (UESTC))
– Hierarchical Macro Strategy Model for MOBA Game AI
Bin Wu (Tencent AI Lab)*
– Personalized Question Routing via Heterogeneous Network Embedding
Zeyu Li (UCLA)*; Jyun-Yu Jiang (UCLA); Yizhou Sun (UCLA); Wei Wang (UCLA)
– Better Fine-tuning via Instance Weighting for Text Classification
Zhi Wang (Independent Researcher)*; Wei Bi (TBD); Yan Wang (Tencent AI Lab); Xiaojiang Liu
(Tencent AI Lab)
– Towards Personalized Review Summarization via User-aware Sequence Network
Junjie Li (Institute of Automation, Chinese Academy of Sciences )*; Haoran Li ( Institute of
Automation Chinese Academy of Sciences); Chengqing Zong (“Institute of Automation, Chinese
Academy of Sciences”)
– Coupled CycleGAN: Unsupervised Hashing Network for Cross-Modal Retrieval
Chao Li (Xidian University); Cheng Deng (Xidian University)*; Lei Wang (Xidian University); De
Xie (XiDian University); Xianglong Liu (Beihang University)
– Surveys without Questions: A Reinforcement Learning Approach
Atanu R. Sinha (Adobe Research)*; Deepali Jain (Google); Nikhil Sheoran (Adobe Research);
Sopan Khosla (Adobe Research); Reshmi Sasidharan (Adobe Research)
– Partial Multi-Label Learning by Low-Rank and Sparse Decomposition
Lijuan Sun (School of Computer and Information Technology, Beijing Jiaotong University);
Songhe Feng (School of Computer and Information Technology, Beijing Jiaotong University)*;
Tao Wang (Beijing Jiaotong University); Congyan Lang (Beijing Jiaotong University); Yi Jin
(Beijing JiaoTong University)
– Learning Semantic Representations for Novel Words: Leveraging Both Form and Context
Timo Schick (Ludwig-Maximilians-Universität München)*; Hinrich Schütze (Ludwig-MaximiliansUniversität München)
– Aligning Domain-specific Distribution and Classifier for Cross-domain Classification from
Multiple Sources
Yongchun Zhu (Institute of Computing Technology, Chinese Academy of Sciences)*; Fuzhen
Zhuang (Institute of Computing Technology, Chinese Academy of Sciences); deqing wang
(beihang University)
– Lattice CNNs for Matching Based Chinese Question Answering
Yuxuan Lai (Peking University)*; Yansong Feng (Peking University); Xiaohan Yu (Peking
University); Zheng Wang (Lancaster University); Kun Xu (Tencent AI lab); Dongyan Zhao (Peking
Univeristy)
– Efficient Image Retrieval via Decoupling Diffusion into Online and Offline Processing
Fan Yang (The University of Tokyo)*; Ryota Hinami (The University of Tokyo); Yusuke Matsui
(National Institute of Informatics); Steven Ly (USC); Shin’ichi Satoh (National Institute of
Informatics)
– Unsupervised Feature Selection by Pareto Optimization
Chao Feng (University of Science and Technology of China); Chao Qian (University of Science
and Technology of China)*; Ke Tang (Southern University of Science and Technology)
– Oversampling for Imbalanced Data via Optimal Transport
Yuguang Yan (South China University of Technology); Qingyao Wu (South China University of
Technology); Jiezhang Cao (South China University of Technology); Yanwu Xu (Baidu); Michael
Kwok-Po Ng (Hong Kong Baptist University); Huaqing Min (South China University of
Technology); Mingkui Tan (South China University of Technology)*
– Collaborative, Dynamic and Diversified User Profiling
Shangsong Liang (Sun Yat-sen University)*
– Variational Autoencoder with Implicit Optimal Priors
Hiroshi Takahashi (NTT Software Innovation Center)*; Tomoharu Iwata (NTT Communication
Science Laboratories); Yuki Yamanaka (NTT Secure Platform Laboratories); Masanori Yamada
(NTT Secure Platform Laboratories); Satoshi Yagi (NTT Software Innovation Center)
– Document Informed Neural Autoregressive Topic Models with Distributional Prior
Pankaj Gupta (University of Munich)*; Florian Buettner (Siemens); Hinrich Schuetze (University
of Munich (LMU)); Yatin Chaudhary (Siemens)
– Learning (from) Deep Hierarchical Structure among Features
Yu Zhang (HKUST)*; Lei Han (Tencent AI Lab)
– Improving Domain-independent Planning via Critical Section Macro-Operators
Lukas Chrpa (Czech Technical University in Prague)*; Mauro Vallati (University of Uddersfield)
– On the Complexity of the Inverse Semivalue Problem for Weighted Voting Games
Ilias Diakonikolas (USC); Chrystalla Pavlou (University of Edinburgh)*
– Estimating the Days to Success of Campaigns in Crowdfunding: A Deep Survival
Perspective
Binbin Jin (University of Science and Technology of China)*; Hongke Zhao (University of Science
and Technology of China); Enhong Chen (University of Science and Technology of China); Qi Liu
(" University of Science and Technology of China, China"); Yong Ge (University of Arizona)
– Probabilistic Alternating-Time Mu-Calculus
Fu Song (ShanghaiTech University)*; yedi zhang (ShanghaiTech University); Taolue Chen
(Birkbeck, University of London); Yu Tang (School of Computer Science and Software
Engineering, East China Normal University); Xu Zhiwu (Shenzhen University)
– SADIH: Semantic-Aware DIscrete Hashing
Zheng Zhang (The University of Queensland)*; Yang Li (The University of Queensland); Sheng Li
(University of Georgia); Guosen Xie (Inception Institute of Artificial Intelligence); Zi Huang
(University of Queensland)
– Sparse Reject Option Classifier using Successive Linear Programming
Naresh Manwani (International Institute of Information Technology, Hyderabad)*; Kulin Shah
(International Institute of Information Technology, Hyderabad)
– Walrasian Dynamics in Multi-unit Markets
Simina Branzei (Purdue University); Aris Filos-Ratsikas (EPFL)*
– Random Walk Decay Centrality
Tomasz Wąs (University of Warsaw)*; Talal Rahwan (Khalifa University of Science and
Technology); Oskar Skibski (University of Warsaw)
– Neural Relation Extraction Within and Across Sentence Boundaries
Pankaj Gupta (University of Munich)*; Hinrich Schuetze (University of Munich (LMU));
Subburam Rajaram (Siemens); Thomas A. Runkler (Technical University of Munich)
– Partial Verification as a Substitute for Money
Sofia Ceppi (PROWLER.io)*; Rafael Frongillo (CU Boulder); Ian Kash (University of Illinois)
– Meimei: An Efficient Probabilistic Approach for Semantically Annotating Tables
Kunihiro Takeoka (NEC Corporation)*; Masafumi Oyamada (NEC); Shinji Nakadai (NEC
Corporation); Takeshi Okadome (Kwansei Gakuin University)
– A Sequential Set Generation Method for Predicting Set-Valued Outputs
Tian Gao (IBM Research)*; Jie Chen (IBM Research); Vijil Chenthamarakshan (IBM AI Research);
Michael J Witbrock (IBM Research)
– Inter-Class Angular Loss for Convolutional Neural Networks
Le Hui (Nanjing University of Science and Technology)*; Xiang Li (Nanjing University of Science
and Technology); Chen Gong (Nanjing University of Science and Technology); Meng Fang
(Tencent AI Lab); Joey Tianyi Zhou (IHPC); Jian Yang (Nanjing University of Science and
Technology)
– Meta Learning for Image Captioning
Nannan Li (Wuhan University); Zhenzhong Chen (WHU)*; Shan Liu (Tencent America)
– TableSense: Mask R-CNN for Spreadsheet Table Detection
Haoyu Dong (Microsoft Research)*; Shijie Liu (Beihang University); Shi Han (Microsoft
Research); Zhouyu Fu (Microsoft Research); Dongmei Zhang (Microsoft Research)
– Multi-agent Discussion Mechanism for Natural Language Generation
XU LI (Baidu Research)*; Mingming Sun (Baidu Research); Ping Li (Baidu Research)
– HyperAdam: A Learnable Task-Adaptive Adam for Network Training
Shipeng Wang (Xi’an Jiaotong University); Jian Sun (Xi’an Jiaotong University)*; Zongben Xu
(XJTU)
– Evolutionarily Learning Multi-aspect Interactions and Influences from Network Structure
and Node Content
Songlei Jian (University of Technology, Sydney)*; Liang Hu (University of Technology, Sydney);
Longbing Cao (University of Technology Sydney); Kai Lu (NUDT); Hang Gao (Alibaba)
– HERS: Modeling Influential Contexts with Heterogeneous Relations for Sparse and Coldstart Recommendation
Liang Hu (University of Technology, Sydney)*; Songlei Jian (University of Technology, Sydney);
Longbing Cao (University of Technology Sydney); Qingkui Chen (University of Shanghai for
Science and Technology); Zhiping Gu (STIEI); Artak Amirbekyan (Commonwealth Bank)
– Unsupervised Neural Machine Translation with SMT as Posterior Regularization
Shuo Ren (Beihang University)*; Zhirui Zhang (University of Science and Technology of China);
Shujie Liu (Microsoft Research Asia); Ming Zhou (Microsoft Research); Shuai Ma (Beihang
University)
– Action Knowledge Transfer for Action Prediction with Partial Videos
Yijun Cai (Sun Yat-sen University)*; Haoxin Li (Sun Yat-sen University); Jian-Fang HU (Sun Yatsen University); WEI-SHI ZHENG (Sun Yat-sen University, China)
– Entity Alignment between Knowledge Graphs Using Attribute Embeddings
Bayu D Trisedya (The University of Melbourne)*; Jianzhong Qi (The University of Melbourne);
Rui Zhang (" University of Melbourne, Australia")
– Operator Mutexes and Symmetries for Simplifying Planning Tasks
Daniel Fišer (FEE, CTU, Prague)*; Alvaro Torralba (Saarland University); Alexander Shleyfman
(Technion)
– A Neural Multi-Task Learning Framework to Jointly Model Medical Named Entity
Recognition and Normalization
Sendong Zhao (Cornell University)*; Fei Wang (Cornell University); Sicheng Zhao (University of
California Berkeley); Ting Liu (Harbin Institute of Technology)
– Bringing Order to Chaos - A Compact Representation of Partial Order in SAT-based HTN
Planning
Gregor Behnke (Ulm University)*; Daniel Höller (Ulm University); Susanne Biundo (Ulm
University)
– Red-Black Heuristics for Planning Tasks with Conditional Effects
Michael Katz (IBM Research)*
– Forbidden Nodes Aware Community Search
Junchao Zhu (Tsinghua University)*; Chaokun Wang (Tsinghua University)
– Beyond RNNs: Positional Self-Attention with Co-Attention for Video Question Answering
Xiangpeng Li (UESTC); Jingkuan Song (UESTC)*; Lianli Gao (The University of Electronic Science
and Technology of China); Xianglong Liu (Beihang University); Wenbing Huang (Tencent AI Lab);
Chuang Gan (MIT); Xiangnan He (National University of Singapore; University of Science and
Technology of China)
– Aging Evolution for Image Classifier Architecture Search
Esteban Real (Google Brain)*; Alok Aggarwal (Google Brain); Yanping Huang (Google); Quoc Le
(Google Brain)
– Learning Incremental Triplet Margin for Person Re-identification
Yingying Zhang (Hikvision Research Institute); Qiaoyong Zhong (Hikvision Research Institute);
Liang Ma (Hikvision Research Institute); Di Xie (Hikvision Research Institute)*; Shiliang Pu
(Hikvision Research Institute)
– An Integral Tag Recommendation Model for Textual Content
Shi jie Tang (Nanjing University)*; Yuan Yao (Nanjing University); Suwei Zhang (Nanjing
University); Feng Xu (Nanjing University); Tian xiao Gu (University of California, Davis);
Hanghang Tong (Arizona State University); Xiaohui Yan (Huawei Technologies); Jian Lv (Nanjing
University)
– Mixture of Expert/Imitator Network: Scalable Semi-supervised Learning Framework
Shun Kiyono (Tohoku University)*; Jun Suzuki (Tohoku University); Kentaro Inui (Tohoku
University)
– Exact and Approximate Weighted Model Integration with Probability Density Functions
Using Knowledge Compilation
Pedro Zuidberg Dos Martires (KU Leuven)*; Anton Dries (KU Leuven); Luc de Raedt (KU Leuven
university)
– Community Detection in Social Networks Considering Topic Correlations
Yingkui Wang (Tianjin University)*; Jianwu Dang (School of Computer Science and Technology,
Tianjin University, Tianjin, China; School of Information Science, Japan Advanced Institute of
Science and Technology, Ishikawa, Japan); Di Jin (Tianjin University); Katarzyna Musial
(Bournemouth Universiy)
– A Unified Model for Opinion Target Extraction and Target Sentiment Classification
Xin Li (The Chinese University of Hong Kong)*; Lidong Bing (Tencent AI Lab); Wai Lam (The
Chinese University of Hong Kong); Piji Li (Tencent AI Lab)
– Deep Learning for Cost-Optimal Planning: Task-Dependent Planner Selection
Silvan Sievers (University of Basel); Michael Katz (IBM Research)*; Shirin Sohrabi (IBM); Horst
Samulowitz (IBM Research); Patrick Ferber (University of Basel)
– A Memetic Approach for Sequential Security Games on a Plane with Moving Targets
Jan Karwowski (Warsaw University of Technology)*; Jacek Mandziuk (Warsaw University of
Technology); Adam Żychowski (Warsaw University of Technology); Filip Grajek (Warsaw
University of Technology); Bo An (Nanyang Technological University)
– Unseen Word Representation by Aligning Heterogeneous Lexical Semantic Spaces
Victor Prokhorov (University of Cambridge); Mohammam Taher Pilehvar (University of
Cambridge); Dimitri Kartsaklis (University of Cambridge)*; Pietro Lió (University of Cambridge);
Nigel Collier (University of Cambridge)
– Improving Image Captioning with Conditional Generative Adversarial Nets
CHEN CHEN (Tencent)*; SHUAI MU (Tencent); WANPENG XIAO (Tencent); ZEXIONG YE
(Tencent); LIESI WU (Tencent); QI JU (Tencent)
– Ranking-based Deep Cross-modal Hashing
Liu Xuanwu (Southwest University); Guoxian Yu (Southwest University, China)*; Carlotta
Domeniconi (George Mason University); Jun Wang (Southwest University); Yazhou Ren
(University of Electronic Science and Technology of China); Maozu Guo (Beijing University of
Civil Engineering and Architecture)
– DRr-Net: Dynamic Re-read Network for Sentence Semantic Matching
Kun Zhang (USTC)*; Guangyi Lv (USTC); Linyuan Wang (School of Computer Science and
Technology, University of Science and Technology of China); Le Wu (HeFei University of
Technology); Enhong Chen (University of Science and Technology of China); Fangzhao Wu
(Microsoft); Xing Xie (Microsoft Research Asia)
– Optimal Interdiction of Urban Criminals with the Aid of Real-Time Information
Youzhi Zhang (Nanyang Technological University)*; Qingyu Guo (Nanyang Technological
University); Bo An (Nanyang Technological University); Long Tran-Thanh (University of
Southampton); Nicholas R Jennings (Imperial College, London)
– Cash-out User Detection based on Attributed Heterogeneous Information Network with a
Hierarchical Attention Mechanism
Binbin Hu (Beijing University of Posts and Telecommunications)*; Zhiqiang Zhang (Ant Financial
Services Group); Chuan Shi (Beijing University of Posts and Telecommunications); Jun Zhou (Ant
Financial); Xiaolong Li (Ant Financial); Yuan Qi (Ant Financial Services Group)
– Relation Structure-Aware Heterogeneous Information Network Embedding
Lu Yuanfu (Beijing University of Posts and Telecommunications)*; Chuan Shi (Beijing University
of Posts and Telecommunications); Zhiyuan Liu (Tsinghua University); Linmei Hu (Beijing
University of Posts and Telecommunications)
– Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation
Pengpeng Zhao (Soochow University)*; Haifeng Zhu (Soochow University); Yanchi Liu (Rutgers
University); Jiajie Xu (Soochow University); Zhixu Li (Soochow University); Fuzhen Zhuang
(Institute of Computing Technology, Chinese Academy of Sciences); Victor S. Sheng (University
of Central Arkansas); Xiaofang Zhou (University of Queensland)
– Multi-View Multi-Instance Multi-Label Learning based on Confederate Matrix
Factorization
Yuying Xing (Southwest University); Guoxian Yu (Southwest University, China)*; Carlotta
Domeniconi (George Mason University); Jun Wang (Southwest University); Zili Zhang
(Southwest University); Maozu Guo (Beijing University of Civil Engineering and Architecture)
– Multi-Attribute Transfer via Disentangled Representation
Jianfu Zhang (Shanghai Jiao Tong University)*; Yaoyi Li (Shanghai Jiao Tong University);
Yuanyuan Huang (Shanghai Jiao Tong University); Weijie Zhao (Versa-AI); Liqing Zhang
(Shanghai Jiao Tong University)
– Learning to Solve NP-Complete Problems – A Graph Neural Network for the Decision TSP
Marcelo Prates (Federal University of Rio Grande do Sul)*; Pedro H C Avelar (Federal University
of Rio Grande do Sul); Henrique Lemos (Federal University of Rio Grande do Sul); Luís Lamb
(Federal University of Rio Grande do Sul); Moshe Vardi (Rice University)
– Sign-Full Random Projections
Ping Li (Baidu)*
– Transferable Interactive Memory Network for Domain Adaptation in Fine-grained
Opinion Extraction
Wenya Wang (Nanyang Technological University)*; Sinno Pan (NTU, Singapore)
– Multiple Independent Subspace Clusterings
xing wang (Southwest University); Guoxian Yu (Southwest University, China)*; Carlotta
Domeniconi (George Mason University); Jun Wang (Southwest University); Guoqiang Xiao
(College of Computer and Information Science, Southwest University, Chongqing, China);
Maozu Guo (Beijing University of Civil Engineering and Architecture)
– Online Active Learning cross Multiple Tasks
Peng Yang (KAUST)*; Peilin Zhao (Tencent AI Lab); Jiayu Zhou (Michigan State University); Xin
Gao (Kaust)
– Solving Integer Quadratic Programming via Explicit and Structural Restrictions
Eduard Eiben (University of Bergen); Robert Ganian (TU Wien)*; Dusan Knop (TU Berlin);
Sebastian Ordyniak (University of Sheffield)
– Explainable Recommendation Through Attentive Multi-View Learning
Jingyue Gao (Peking University)*; Xiting Wang (Microsoft Research Asia); Yasha Wang (Peking
University); Xing Xie (Microsoft Research Asia)
– Predicting Concrete and Abstract Entities in Modern Poetry
Fiammetta Caccavale (University of Copenhagen); Anders Søgaard (University of Copenhagen)*
– Perceptual Pyramid Adversarial Networks for Text-to-Image Synthesis
Lianli Gao (The University of Electronic Science and Technology of China); Daiyuan Chen
(UESTC); Jingkuan Song (UESTC)*; Xing Xu (University of Electronic Science and Technology of
China); Dongxiang Zhang (University of Electronic Science and Technology of China); Heng Tao
Shen (University of Electronic Science and Technology of China (UESTC))
– MPD-AL: An Efficient Membrane Potential Driven Aggregate-Label Learning Algorithm for
Spiking Neurons
Malu Zhang (National University of Singapore); jibin wu (National University of Singapore);
Yansong Chua (Institute for Infocomm Research (ASTAR) Singapore); xiaoling luo (University of
Electronic Science and Technology of China); zihan pan (National University of Singapore); dan
Liu (University of Electronic Science and Technology of China); Haizhou Li (National University of
Singapore)
– Unsupervised Learning helps Supervised Neural Word Segmentation
Xiaobin Wang (Alibaba Group)*; Deng Cai (The Chinese University of Hong Kong); Guangwei Xu
(Alibaba Group); Hai Zhao (Shanghai Jiao Tong University); Linlin Li (Alibaba Group); Luo Si
(Alibaba Group)
– Relaxing and Restraining Queries for OBDA
Medina Andresel (TU Wien)*; Magdalena Ortiz (TU Wien, Austria); Yazmin A. Ibanez-Garcia (TU
WIEN); Mantas Simkus (TU Vienna)
– Sequential Scene Composition
Mehmet Ozgur Turkoglu (University of Twente)*; Berkay Kicanaoglu (University of Amsterdam);
William Thong (University of Amsterdam); Luuk Spreeuwers (University of Twente)
– Human-like Delicate Region Erasing Strategy for Weakly Supervised Detection
Qing En (Beijing University of Technology); Lijuan Duan (Beijing University of Technology);
ZHAO-XIANG ZHANG (Chinese Academy of Sciences, China)*; Xiang Bai (Huazhong University of
Science and Technology); Yundong Zhang (Vimicro Corporation)
– An Exponential Tail Bound for the Deleted Estimate
Abou-Moustafa Karim (University of Alberta)*; Csaba Szepesvari (DeepMind/University of
Alberta)
– Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective
Chengqiang Lu (University of Science and Technology of China)*; Qi Liu (" University of Science
and Technology of China, China"); Chao Wang (University of Science and Technology of China);
Zhenya Huang (University of Science and Technology of China ); Peize Lin (University of Science
and Technology of China ); Lixin He (University of Science and Technology of China)
– Optimal Dynamic Auctions are Virtual Welfare Maximizers
Vahab Mirrokni (Google); Renato Paes Leme (Google); Pingzhong Tang (Tsinghua University);
Song Zuo (Google)*
– GRN: Gated Relation Network to Enhance Convolutional Neural Network for Named
Entity Recognition
Hui Chen (Tsinghua University)*; Zijia Lin (Microsoft); guiguang ding (Tsinghua University,
China); Jian-Guang Lou (Microsoft); Yusen Zhang (Beijing Institute of Technology); Borje
Karlsson (Microsoft)
– Partial Label Learning with Self-Guided Retraining
LEI FENG (Nanyang Technological University)*; Bo An (Nanyang Technological University)
– Scale Invariant Fully Convolutional Network: Detecting Hands Efficiently
Dan Liu (University of Chinese Academy of Sciences); Dawei Du (University at Albany, SUNY);
Libo Zhang (Institute of Software Chinese Academy of Sciences)*; Tiejian Luo (University of
Chinese Academy of Sciences); Yanjun Wu (Institute of Software Chinese Academy of Sciences );
Feiyue Huang (Tencent Youtu Lab); Siwei Lyu (University at Albany)
– Mode Variational LSTM Robust to Unseen Modes of Variation: Application to Facial
Expression Recognition
Wissam J Baddar (KAIST); Yong Man Ro (KAIST)*
– Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth
Optimization
Feihu Huang (Nanjing University of Aeronautics and Astronautics); Bin Gu (Pittsburgh
University); zhouyuan huo (university of pittsburgh); Songcan Chen (Nanjing University of
Aeronautics and Astronautics)*; Heng Huang (University of Pittsburgh)
– SEGAN: Structure-Enhanced Generative Adversarial Network for Compressed Sensing
MRI Reconstruction
Zhongnian Li (Nanjing University of Aeronautics and Astronautics,China); Tao Zhang (Nanjing
University of Aeronautics and Astronautics,China); Peng Wan (Nanjing University of Aeronautics
and Astronautics,China); Daoqiang Zhang (Nanjing University of Aeronautics and Astronautics,
China)*
– Collaboration based Multi-Label Learning
LEI FENG (Nanyang Technological University)*; Bo An (Nanyang Technological University); Shuo
He (Southwestern University)
– SuperVAE: Superpixelwise Variational Autoencoder for Salient Object Detection
Bo Li (Nanjing University); Yuqi Guo (Nanjing University); Zhengxing Sun (Nanjing University)*
– PVRNet: Point-View Relation Neural Network for 3D Shape Recognition
Haoxuan You (Tsinghua University)*; Yifan Feng (Xiamen University); Xibin Zhao (Tsinghua
University); Changqing Zou (UMIACS, University of Maryland, College Park.); Rongrong Ji
(Xiamen University, China); Yue Gao (Tsinghua University)
– Hypergraph Optimization for Multi-structural Geometric Model Fitting
Shuyuan Lin (Xiamen University); Guobao Xiao (xmu.edu.cn); Yan Yan (Xiamen University);
David Suter (ecu.edu.au); Hanzi Wang (Xiamen University)*
– Label Embedding with Partial Heterogeneous Contexts
Yaxin Shi (University of Technology Sydney)*; Donna Xu (University of Technology Sydney);
Yuangang Pan (University of Technology, Sydney); Ivor Tsang (University of Technology Sydney);
Shirui Pan (University of Technology Sydney, Australia)
– Temporal Planning with Temporal Metric Trajectory Constraints
Andrea Micheli (Fondazione Bruno Kessler); Enrico Scala (FBK)*
– Deliberate Residual based Attention Network for Image Captioning
Lianli Gao (The University of Electronic Science and Technology of China); kaixuan fan
(University of Electronic Science and Technology of China); Jingkuan Song (UESTC); Xianglong
Liu (Beihang University); Xing Xu (University of Electronic Science and Technology of China);
Heng Tao Shen (University of Electronic Science and Technology of China (UESTC))*
– Understanding Pictograph with Facial Features: End-to-End Sentence-level Lip Reading of
Chinese
Xiaobing Zhang (University of Electronic Science and Technology of China, UESTC)*; Haigang
Gong (University of Electronic Science and Technology of China, UESTC); Xili Dai (University of
Electronic Science and Technology of China, UESTC); Fan Yang (University of Electronic Science
and Technology of China, UESTC); Nianbo Liu (University of Electronic Science and Technology
of China); Ming Liu (University of Electronic Science and Technology of China )
– The Adversarial Attack and Detection under the Fisher Information Metric
Chenxiao Zhao (East China Normal University)*; Tom Fletcher (Utah); Mixue Yu (East China
Normal University); Yaxin Peng (Shanghai University); Guixu Zhang (East China Normal
University); Chaomin Shen (East China Normal University)
– Scalable Recollections for Continual Lifelong Learning
Matthew D Riemer (IBM Research)*; Tim Klinger (IBM Research AI); Michele Franceschini (IBM);
Djallel Bouneffouf (IBM)
– Moral Permissibility of Action Plans
Felix Lindner (University of Freiburg)*; Robert Mattmüller (University of Freiburg); Bernhard
Nebel (University of Freiburg)
– Personalized Robot Tutoring using the Assistive Tutor POMDP (AT-POMDP)
Sarah M Sebo (Yale University)*; Aditi Ramachandran (Yale University); Brian Scassellati (Yale
University)
– A Radical-aware Attention-based Model for Chinese Text Classification
Hanqing Tao (University of Science and Technology of China (USTC))*; Shiwei Tong (University
of Science and Technology of China (USTC)); Hongke Zhao (University of Science and
Technology of China); Tong Xu (University of Science and Technology of China); Binbin Jin
(University of Science and Technology of China); Qi Liu (" University of Science and Technology
of China, China")
– Private Model Compression via Knowledge Distillation
Ji Wang (National University of Defense Technology)*; Weidong Bao (National University of
Defense Technology, China); Lichao Sun (Unversity of Illinois at Chicago); Xiaomin Zhu (National
University of Defense Technology); Bokai Cao (Facebook Inc.); Philip S Yu (UIC)
– Unbounded Orchestrations of Transducers for Manufacturing
Natasha Alechina (Nottingham); Tomas Brazdil (Masaryk University); Giuseppe De Giacomo
(Sapienza Università di Roma); Paolo Felli (Free University of Bolzano); Brian Logan (Univ of
Nottingham)*; Moshe Vardi (Rice University)
– A Generative Model for Dynamic Networks with Applications
Shubham Gupta (Indian Institute of Science)*; Gaurav Sharma (Indian Institute of Science);
Ambedkar Dukkipati (IISc)
– Jointly Extracting Multi-triplets via Ranking with Translation Mechanism
Zhen Tan (NUDT); Xiang Zhao (National University of Defence Technology)*; Wei Wang
(University of New South wales); Weidong Xiao (National University of Defense Technology)
– Using Benson’s Algorithm for Regularization Parameter Tracking
Christopher Schneider (University of Jena)*; Joachim Giesen (Friedrich Schiller University Jena);
Sören Laue (Friedrich Schiller University Jena); Andreas Löhne (University of Jena)
– Deep Embedding Features for Salient Object Detection
Zhuge Yunzhi (Dalian University of Technology); Huchuan Lu (Dalian University of Technology)*;
Zeng Yu (Dalian University of Technology)
– Path-specific Counterfactual Fairness
Silvia Chiappa (DeepMind)*
– Composable Modular Reinforcement Learning
Christopher Simpkins (Georgia Tech)*; Charles Isbell (Georgia Institute of Technology)
– Adaptive Proximal Average based Variance Reducing Stochastic Methods for
Optimization with Composite Regularization
Jingchang Liu (University of Science and Technology of China); Linli Xu (University of Science and
Technology China)*; Junliang Guo (USTC); Xin Sheng (University of Science and Technology of
China)
– Chinese NER with Height-Limited Constituent Parsing
Rui Wang (School of Computer Science, Beijing Institute of Technology)*; Xin Xin (School of
Computer Science, Beijing Institute of Technology); Wei Chang ( School of Computer Science,
Beijing Institute of Technology); Kun Ming ( School of Computer Science, Beijing Institute of
Technology); Biao Li (Tencent); Xin Fan (Tencent)
– Understanding Dropouts in MOOCs
Wenzheng Feng (Tsinghua University)*; Jie Tang (Tsinghua University); Tracy Xiao Liu (Tsinghua
University)
– Enhancing Lazy Grounding with Lazy Normalization in Answer-Set Programming
Jori Bomanson (Aalto University); Tomi Janhunen (Aalto University)*; Antonius Weinzierl
(Vienna University of Technology)
– Efficient Counterfactual Learning from Bandit Feedback
Yusuke Narita (Yale University)*; Kohei Yata (Yale University); Shota Yasui (Cyberagent)
– Hyperbolic Heterogeneous Information Network Embedding
Xiao Wang (); Yiding Zhang (Beijing University of Posts and Telecommunications)*; Chuan Shi
(Beijing University of Posts and Telecommunications)
– RLTM: An Efficient Neural IR Framework for Long Documents
CHEN ZHENG (Baidu); YU SUN (baidu)*; Dianhai Yu (Baidu, Inc.); Haifeng Wang (Baidu)
– Attention-aware Sampling via Deep Reinforcement Learning for Action Recognition
Wenkai Dong (Institute of automation, university of chinese academy of sciences)*; ZHAOXIANG ZHANG (Chinese Academy of Sciences, China); Tieniu Tan (NLPR, China)
– Online Multi-Agent Pathfinding
Jiří Švancara (Charles University); Marek Vlk (Charles University); Roni Stern (BGU)*; Dor
Atzmon (BGU); Roman Barták (Charles University)
– Bayesian Fairness
Christos Dimitrakakis (Chalmers university of technology); Yang Liu (UC Santa Cruz/Harvard
University); David Parkes (Harvard University); Goran Radanovic (Harvard University)*
– Transductive Bounds for the Multi-class Majority Vote Classifier
Vasilii Feofanov (University Grenoble Alpes)*; Emilie Devijver (University Grenoble Alpes);
Massih-Reza Amini (Univ. Grenoble Alpes)
– Gated Interleaved Multi-Task Composite State Sequencing: Learning to Daisy-Chain the
Best Experts with GIRNet
Divam Gupta (IIIT Delhi)*; Tanmoy Chakraborty (Indraprastha Institute of Information
Technology Delhi (IIIT-D),India ); Soumen Chakrabarti (IIT Bombay)
– Efficient and Scalable Multi-task Regression on Massive Number of Tasks
Xiao He (NEC Laboratories Europe)*; Francesco Alesiani (NEC Laboratories Europe); Ammar
Shaker (NEC Laboratories Europe)
– Interactive Attention Transfer Network for Cross-domain Sentiment Classification
Kai Zhang (University of Science and Technology of China); Hefu Zhang (University of Science
and Technology of China); Qi Liu (" University of Science and Technology of China, China")*;
Hongke Zhao (University of Science and Technology of China); Hengshu Zhu (Baidu Inc.); Enhong
Chen (University of Science and Technology of China)
– Exploiting synthetically generated data with semi-supervised learning for small and
imbalanced datasets
Maria Perez-Ortiz (University of Cambridge)*; Peter Tino (The University of Birmingham); Rafal
Mantiuk (Univ. Cambridge); Cesar Hervas-Martinez (University of Cordoba)
– Improving One-Class Collaborative Filtering via Ranking-based Implicit Regularizer
Jin Chen (University of Electronic Science and Technology of China(UESTC))*; Defu Lian
(University of Electronic Science and Technology of China); Kai Zheng (University of Electronic
Science and Technology of China)
– Coverage Centrality Maximization in Undirected Networks
Gianlorenzo D’Angelo (Gran Sasso Science Institute)*; Martin Olsen (Aarhus University);
Lorenzo Severini (ISI Foundation)
– Adversarial Binary Collaborative Filtering For Implicit Feedback
HaoYu Wang (University of Electronic Science and Technology of China)*; Nan Shao (University
of Electronic Science and Technology of China); Defu Lian (University of Electronic Science and
Technology of China)
– DeepSTN+: Context-aware Spatial Temporal Neural Network for Crowd Flow Prediction in
Metropolis
Ziqian Lin (Tsinghua University); Jie Feng (Tsinghua University)*; Ziyang Lu (Tsinghua
University); Yong Li (Tsinghua University); Depeng Jin (Tsinghua University)
– Lipper: Synthesizing Thy Speech using Multi-View Lipreading
Yaman Kumar (Adobe)*; Rohit Jain (NSIT); Khwaja Mohd. Salik (NSIT); Rajiv Ratn Shah
(“Indraprastha Institute of Information Technology, Delhi”); Yifang Yin (National University of
Singapore); Roger Zimmermann (NUS)
– Deep Reactive Policies for Planning in Stochastic Nonlinear Domains
Thiago P Bueno (University of São Paulo)*; Leliane Barros (University of Sao Paulo); Denis D
Maua (University of Sao Paulo); Scott Sanner (University of Toronto)
– Approximate Stream Reasoning with Metric Temporal Logic under Uncertainty
Daniel de Leng (Linköping University)*; Fredrik Heintz (Linköping University)
– From Independent Prediction to Re-ordered Prediction: Integrating Relative Position and
Global Label Information to Emotion Cause Identification
Zixiang Ding (Nanjing University of Science and Technology); Huihui He (Nanjing University of
Sciences and Technology); Mengran Zhang (Nanjing University of Sciences and Technology); Rui
Xia (Nanjing University of Sciences and Technology)*
– MixUp as Locally Linear Out-Of-Manifold Regularization
Hongyu Guo (National Research Council Canada)*; Yongyi Mao (University of Ottawa); Richong
Zhang (“Beihang University, China”)
– Sliding Window Temporal Graph Coloring
George Mertzios (Durham University); Hendrik Molter (TU Berlin)*; Viktor Zamaraev (Durham
University)
– Plan-And-Write: Towards Better Automatic Storytelling
Lili Yao (Tencent)*; Nanyun Peng (USC); Weischedel Ralph (USC); Kevin Knight (University of
Southern California); Dongyan Zhao (Peking University); Rui Yan (Peking University)
– Multi-task Deep Reinforcement Learning with PopArt
Matteo Hessel (DeepMind)*; Lasse Espeholt (DeepMind); Hubert Soyer (); Wojciech M
Czarnecki (DeepMind); Simon Schmitt (DeepMind); Hado van Hasselt (DeepMind)
– Cooperation Enforcement and Collusion Resistance in Repeated Public Goods Games
Kai Li (Shanghai Jiao Tong University); Dong HAO (University of Electronic Science and
Technology of China)*
– Exploiting the Contagious Effect for Employee Turnover Prediction
Mingfei Teng (Rutgers University)*; Hengshu Zhu (Baidu Inc.); Chuanren Liu (Drexel University);
Chen Zhu (Baidu Inc.); Hui Xiong (the State University of New Jersey)
– On the Inducibility of Stackelberg Equilibrium in Security Games
Qingyu Guo (Nanyang Technological University)*; Jiarui Gan (University of Oxford); Fei Fang
(Carnegie Mellon); Long Tran-Thanh (University of Southampton); Milind Tambe (USC); Bo An
(Nanyang Technological University)
– Tied Transformers: Neural Machine Translation with Shared Encoder and Decoder
Yingce Xia (Microsoft Research Asia)*; Tianyu He (University of Science and Technology of
China); Xu Tan (Microsoft Research); Fei Tian (Microsoft Research); Di He (Peking University);
Tao Qin (Microsoft Research Asia)
– Automatic Code Review by Learning the Revision of Source Code
Shu-ting Shi (Nanjing University); Ming Li (Nanjing University)*; David Lo (“Singapore
Management University, Singapore”); Ferdian Thung (Singapore Management University); Xuan
Huo (Nanjing University)
– Learning Features and Abstract Actions for Computing Generalized Plans
Blai Bonet (Universidad Sim梟 Bol抳ar); Guillem Francès (University of Basel)*; Hector Geffner
(Universitat Pompeu Fabra)
– Solving Partially Observable Stochastic Games with Public Observations
Karel Horák (Czech Technical University in Prague)*; Branislav Bošanský (Czech Technical
University in Prague)
– Find Me If You Can: Deep Software Clone Detection by Exploiting the Contest between
the Plagiarist and the Detector
zhang yanya (Nanjing University); Ming Li (Nanjing University)*
– Deception in Finitely Repeated Security Games
Thanh Nguyen (University of Oregon)*; Yongzhao Wang (University of Michigan); Arunesh Sinha
(University of Michigan); Michael Wellman (University of Michigan)
– SCNN: A General Distribution based Statistical Convolutional Neural Network with
Application to Video Object Detection
Tianchen Wang (University of Notre Dame)*; Jinjun Xiong (IBM Thomas J. Watson Research
Center); Xiaowei Xu (University of Notre Dame); Yiyu Shi (University of Notre Dame)
– AI-Sketcher : A Deep Generative Model for Generating High Quality Sketches
Chaoran Chen (Tongji University); Nan Cao (Tongji University)*; Yang Shi (Tongji University); Xin
Yan (Tongji University)
– Unsupervised Stylish Image Description Generation via Domain Layer Norm
ChengKuan Chen (National Tsing Hua University)*; ZHUFENG PAN (National Tsing Hua
University); Ming-Yu Liu (NVIDIA); Min Sun (NTHU)
– Bidirectional Transition-Based Dependency Parsing
Yunzhe Yuan (ShanghaiTech University)*; Yong Jiang (ShanghaiTech University); Kewei Tu
(ShanghaiTech University)
– Distributionally Robust Semi-supervised Learning for People-centric Sensing
Kaixuan Chen (UNSW Sydney)*; Lina Yao (UNSW); Dalin Zhang (UNSW Sydney); Xiaojun Chang
(Monash University); Guodong Long (University of Technology Sydney); Sen Wang (Griffith
University)
– Unsupervised Post-processing of Word Vectors via Conceptor Negation
Tianlin Liu (Jacobs University Bremen)*; João Sedoc (University of Pennsylvania); Lyle Ungar
(University of Pennsylvania)
– Implanting Rational Knowledge into Distributed Representation at Morpheme Level
Zi Lin (Peking University)*; Yang Liu (Peking University)
– An Innovative Genetic Algorithm for the Quantum Circuit Compilation Problem
Riccardo Rasconi (CNR)*; Angelo Oddi (ISTC-CNR)
– Counting and Sampling Markov Equivalent Directed Acyclic Graphs
Topi L Talvitie (University of Helsinki)*; Mikko Koivisto (University of Helsinki)
– A Neural Network Approach to Verb Phrase Ellipsis Resolution
Wei-Nan Zhang (Harbin Institute of Technology)*; Yue Zhang (Westlake University); Yuanxing
Liu (Harbin Institute of Technology); Donglin Di (Harbin Institute of Technology); Ting Liu (哈尔
滨工业大学)
– Instance-level Facial Attributes Transfer with Geometry-aware Flow
Weidong Yin (University of British Columbia)*; Ziwei Liu (Chinese University of Hong Kong);
Chen Change Loy (Nanyang Technological University)
– Graph CNNs with Motif and Variable Temporal Block for Skeleton-based Action
Recognition
Yuhui Wen (Institute of Computing Technology, Chinese Academy of Sciences); Lin Gao
(Institute of Computing Technology, Chinese Academy of Sciences)*; Hongbo Fu (City
University of Hong Kong); Fang-Lue Zhang (School of Engineering and Computer Science,
Victoria University of Wellington); Shi-Hong Xia (The Chinese academy of sciences institute of
computing technology)
– Subtask Gated Networks for Non-Intrusive Load Monitoring
Changho Shin (Encored Technologies); Sunghwan Joo (Sungkyunkwan University); Jaeryun Yim
(Encored Technologies); Hyoseop Lee (Encored Technologies); Taesup Moon (Sungkyunkwan
University); Wonjong Rhee (Seoul National University)*
– Guiding the One-to-one Mapping in CycleGAN via Optimal Transport
Guansong Lu (Shanghai Jiao Tong University)*; Zhiming Zhou (Shanghai Jiao Tong University);
Yuxuan Song (Shanghai Jiao Tong University); Kan Ren (Shanghai Jiao Tong University); Yong Yu
(Shanghai Jiao Tong University)
– Strong Equivalence for Epistemic Logic Programs Made Easy
Wolfgang Faber (Alpen-Adria-Universität Klagenfurt, Austria.)*; Michael Morak (Vienna
University of Technology (TU Wien)); Stefan Woltran (TU Wien)
– Communication-optimal distributed dynamic graph clustering
Chunjiang Zhu (University of Connecticut)*; Tan Zhu (University of Connecticut ); Kam-Yiu Lam
(); Song Han (); Jinbo Bi (University of Connecticut)
– Efficient Temporal Planning Using Metastates
Amanda Coles (King’s College London); Andrew Coles (King’s College London)*; Christopher
Beck (University of Toronto)
– Challenges in the Automatic Analysis of Students’ Diagnostic Reasoning
Claudia Schulz (TU Darmstadt)*; Christian Meyer (TU Darmstadt); Iryna Gurevych (Darmstadt
University)
– Efficiently Reasoning with Interval Constraints in Forward Search Planning
Amanda Coles (King’s College London)*; Andrew Coles (King’s College London); Moises
Martinez (KCL); Emre Savas (King’s College London); Tomas de la Rosa (Universidad Carlos III de
Madrid); Yolanda E-Martin (Universidad Carlos III de Madrid); Angel Garcia-Olaya (Universidad
Carlos III Madrid); Juan Manuel Delfa (European Space Agency)
– A Nonconvex Projection Method for Robust PCA
Aritra Dutta (King Abdullah University of Science and Technology (KAUST))*; Filip Hanzely
(KAUST); Peter Richtarik (KAUST)
– Automatic Bayesian Density Analysis
Antonio Vergari (Max-Planck Institute for Intelligent Systems)*; Alejandro Molina (TU
Darmstadt); Robert Peharz (University of Cambridge); Zoubin Ghahramani (University of
Cambridge); Kristian Kersting (TU Darmstadt); Isabel Valera (MPI-IS)
– A Pattern-based Approach to Recognizing Time Expressions
Wentao Ding (Nanjing University); Guanji Gao (Nanjing University); Linfeng Shi (Nanjing
University); Yuzhong Qu (Nanjing University)*
– Complex Unitary Recurrent Neural Networks using Scaled Cayley Transform
Kehelwala Dewage G Maduranga (University of Kentucky)*; Kyle Helfrich (University of
Kentucky); Qiang Ye (University of Kentucky)
– Collective Online Learning of Gaussian Processes in Massive Multi-Agent Systems
Nghia Hoang (IBM Research)*; Minh Hoang (Carnegie Mellon University); Bryan Kian Hsiang
Low (National University of Singapore ); Jonathan How (MIT)
– Skeleton-based Gesture Recognition Using Several Fully Connected Layers with Path
Signature Features and Temporal Transformer Module
Chenyang Li (South China University of Technology); Xin Zhang (South China University of
Technology)*; Lufan Liao (South China University of Technology); Lianwen Jin (South China
University of Technology); Weixin Yang (South China University of Technology)
– A Generalized Idiom Usage Recognition Model based on Semantic Compatibility
Changsheng Liu (UNIVERSITY OF PITTSBURGH); Rebecca Hwa (University of Pittsburgh)*
– A Probabilistic Derivation of LASSO and L12-Norm Feature Selections
Di Ming (The University of Texas at Arlington)*; Chris Ding (UNIVERSITY OF TEXAS AT
ARLINGTON); Feiping Nie (Northwestern Polytechnical University)
– Designing Deep Generative Models for Molecular Graphs
Bidisha Samanta (IIT Kharagpur); Abir De (MPI-SWS)*; Gourhari Jana (IIT Kharagpur); Pratim
Kumar Chattaraj (IIT Kharagpur); Niloy Ganguly (IIT, Kharagpur); Manuel Gomez Rodriguez
(Max-Planck Institute)
– What Is One Grain of Sand in the Desert? Analyzing Individual Neurons in Deep NLP
Models
Fahim Dalvi (QCRI)*; Nadir Durrani (Qatar Computing Research Institute); Hassan Sajjad (QCRI);
Yonatan Belinkov (MIT); Anthony Bau (MIT); James Glass (MIT)
– On Strength Adjustment for MCTS-Based Programs
I-Chen Wu (National Chiao Tung University)*; Ti-Rong Wu (National Chiao Tung University); AnJen Liu (National Chiao Tung University); Hung Guei (National Chiao Tung University); Tinghan
Wei (National Chiao Tung University)
– From Horn-SRIQ to Datalog: A Data-Independent Transformation that Preserves Assertion
Entailment
David Carral (TU Dresden)*; Larry González (TU Dresden); Patrick Koopmann (TU Dresden)
– Evolutionary Manytasking Optimization Based on Symbiosis in Biocoenosis
Rung-Tzuo Liaw (National Tsing Hua University); Chuan-Kang Ting (National Tsing Hua
University)*
– That’s Mine! Learning Ownership Relations and Norms for Robots
Zong Xuan Tan (Yale University)*; Jake N Brawer (Yale University); Brian Scassellati (Yale
University)
– Mining Entity Synonyms with Efficient Neural Set Generation
Jiaming Shen (University of Illinois at Urbana-Champaign)*; Ruiliang Lyu (Shanghai Jiao Tong
University); Xiang Ren (University of Southern California); Michelle Vanni (U.S. Army Research
Laboratory); Brian Sadler (Army Research Laboratory, USA); Jiawei Han (UIUC)
– Character-Level Language Modeling with Deeper Self-Attention
Rami Al-Rfou (Google Research); Dokook Choe (Google); Noah Constant (Google AI)*; Mandy
Guo (Google AI); Llion Jones (Google AI)
– Ontology-Based Query Answering for Probabilistic Temporal Data
Patrick Koopmann (TU Dresden)*
– On Structured Argumentation with Conditional Preferences
Phan Minh Dung (Asian Institute of Technologies); Son Tran (New Mexico State University)*;
Phan Minh Thang (BUUIC College of Burapha University)
– Making Money from What You Know - How to Sell Information?
Shani Alkoby (University of Texas)*; Zihe Wang (Shanghai University of Finance and Economics);
David Sarne (Bar-Ilan University); Pingzhong Tang (Tsinghua University)
– HireNet: a Hierarchical Attention Model for the Automatic Analysis of Asynchronous
Video Job Interviews
Léo Hemamou (Telecom-ParisTech)*; Ghazi Felhi (EASYRECRUE, Paris, France); Vincent
Vandenbussche (EASYRECRUE, Paris, France); Jean-Claude Martin (Limsi, Orsay, France); Chloé
Clavel (Telecom-ParisTech, Paris, France)
– Fast Relational Probabilistic Inference and Learning: Approximate Counting via
Hypergraphs
Mayukh Das (THE UNIVERSITY OF TEXAS AT DALLAS)*; Devendra Singh Dhami (THE UNIVERSITY
OF TEXAS AT DALLAS); Gautam Kunapuli (UT Dallas); Kristian Kersting (TU Darmstadt); Sriraam
Natarajan (UT Dallas)
– A Reinforcement Learning Based Broker Agent for a Power Trading Competition: Design
and Performance
Susobhan Ghosh (Machine Learning Laboratory, International Institute of Information
Technology, Hyderabad)*; Easwar Subramanian (Tata Consultancy Services Limited); Sanjay P.
Bhat (Tata Consultancy Services Limited); Sujit P. Gujar (Machine Learning Laboratory,
International Institute of Information Technology, Hyderabad); Praveen Paruchuri (IIIT
Hyderabad)
– Bayesian Graph Convolutional Neural Networks for Semi-supervised Classification
Mark Coates (McGill University)*; Soumyasundar Pal (McGill University); Yingxue Zhang
(Huawei Technologies Canada); Deniz Ustebay (Huawei Technologies Canada)
– Crash to Not Crash: Learn to Identify Dangerous Vehicles using a Simulator
Hoon Kim (KAIST); Kangwook Lee (EE at KAIST)*; Gyeongjo Hwang (KAIST); Changho Suh (KAIST)
– Granularity-Agnostic Sense Model for Word Sense Induction
Reinald Kim Amplayo (Yonsei University)*; Seungwon Hwang (Yonsei University); Min Song
(Yonsei University)
– End-to-end Structure-Aware Convolutional Networks for Knowledge Base Completion
Chao Shang (University of Connecticut)*; Yun Tang (JD AI Research); Jing Huang (JD.COM); Jinbo
Bi (University of Connecticut); Xiaodong He (JD AI Research); Bowen Zhou (JD)
– Lifted Hinge-Loss Markov Random Field
Sriram Srinivasan (UC Santa Cruz)*; Golnoosh Farnadi (University of California Santa Cruz);
Behrouz Babaki (Polytechnique Montreal); Lise Getoor (University of California Santa Cruz)
– Multi-unit Bilateral Trade
Philip Lazos (University of Oxford)*; Paul Goldberg (University of Oxford); Alexander Skopalik
(University of Twente); Matthias Gerstgrasser (University of Oxford); Bart de Keijzer (University
of Essex)
– Robustness Guarantees for Bayesian Inference with Gaussian Processes
Luca Cardelli (University of Oxford); Marta Kwiatkowska (Oxford University); Luca Laurenti
(University of Oxford)*; Andrea Patane’ (University of Oxford)
– Robust Optimization over Multiple Domains
Qi Qian (Alibaba Group)*; Shenghuo Zhu (Alibaba Group); Jiasheng Tang (Alibaba Group); rong
jin (alibaba group); Baigui Sun (Alibaba Group); Hao Li (Alibaba Group)
– PerformanceNet: Score-to-Audio Music Generation with Multi-Band Convolutional
Residual Network
Bryan Wang (Academia Sinica)*; Yi-Hsuan Yang (Academia Sinica)
– How Well Do Machines Perform on IQ tests: a Comparison Study on a Large-Scale Dataset
Yi Zhou (Western Sydney University)*; haodi zhang (Shenzhen University); Fangyuan He (Tianjin
University); Liu Yusen (Tianjin University)
– Allocating Interventions Based on Predicted Outcomes: A Case Study on Homelessness
Services
Amanda Kube (Washington University in St. Louis); Sanmay Das (Washington University in St.
Louis)*; Patrick Fowler (Washington University in St. Louis)
– An Open-World Extension to Knowledge Graph Completion Models
Haseeb Shah (National University of Sciences and Technology)*; Johannes Villmow (RheinMain
University of Applied Sciences); Adrian Ulges (RheinMain University of Applied Sciences); Ulrich
Schwanecke (Computer Vision and Mixed Reality Group - Hoghschule RheinMain); Faisal Shafait
(National University of Sciences and Technology)
– Interpretable preference learning: a game theoretic framework for large margin on-line
feature and rule learning
Fabio Aiolli (Universita’ di Padova); Mirko Polato (University of Padova)*
– Lifelong Path Planning with Kinematic Constraints for Multi-Agent Pickup and Delivery
Hang Ma (University of Southern California)*; Wolfgang Hoenig (University of Southern
California); T. K. Satish Kumar (University of Southern California); Nora Ayanian (University of
Southern California); Sven Koenig (University of Southern California)
– Exploiting Time-Series Image-to-Image Translation to Simulate Home Range Estimators in
Wildlife Analysis
Ruobing Zheng (University of Chinese Academy of Sciences)*; Ze Luo (Computer Network
Information Center, Chinese Academy of Sciences); Baoping Yan (Computer Network
Information Center, Chinese Academy of Sciences)
– Reasoning over Streaming Data in Metric Temporal Datalog
Przemysław A Wałęga (University of Oxford)*; Mark Kaminski (University of Oxford); Bernardo
Cuenca Grau (University of Oxford)
– Building Temporal Word Embeddings with a Compass
Valerio Di Carlo (BUP Solutions); Federico Bianchi (University of Milano-Bicocca)*; Matteo
Palmonari (University of Milano-Bicocca)
– A Bridge between Liquid and Social Welfare in Combinatorial Auctions with Submodular
Bidders
Dimitris Fotakis (Yahoo Research); Kyriakos Lotidis (National Technical University of Athens);
Chara Podimata (Harvard University)*
– Forgetting in Modular Answer Set Programming
Ricardo Gonçalves (Universidade Nova de Lisboa); Tomi Janhunen (Aalto University); Matthias
Knorr (Universidade Nova de Lisboa)*; João Leite (Universidade Nova de Lisboa); Stefan
Woltran (TU Wien)
– Heuristic Voting as Ordinal Dominance Strategies
Omer Lev (Ben Gurion University); Reshef Meir (Technion)*; Sventlana Obraztsova (Nanyang
Technological University); Maria Polukarov (KCL)
– DeepFuzz: Automatic Generation of Syntax Valid C Programs for Fuzz Testing
Xiao Liu (The Pennsylvania State University)*; Xiaoting Li (The Pennsylvania State University);
Rupesh Prajapati (The Pennsylvania State University); Dinghao Wu (The Pennsylvania State
University)
– Learning Models of Sequential Decision-Making with Partial Specification of Agent
Behavior
Vaibhav V Unhelkar (MIT)*; Julie A. Shah (MIT)
– You Get What You Share: Incentives for a Sharing Economy
Kostas Kollias (Google Research)*; Sreenivas Gollapudi (Google Research); Debmalya Panigrahi
(Duke University)
– Large-Scale Visual Relationship Understanding
Ji Zhang (Rutgers University)*; Yannis Kalantidis (Facebook Research, USA); Marcus Rohrbach
(Facebook AI Research); Manohar Paluri (Facebook); Ahmed Elgammal (Rutgers University);
Mohamed Elhoseiny (Facebook AI Research)
– Learning Diverse Bayesian Networks
Cong Chen (CUNY)*; Changhe Yuan (City Univ. New York)
– Practical Algorithms for Multi-stage Voting Rules with Parallel Universes Tiebreaking
Jun Wang (Rensselaer Polytechnic Institute (RPI))*; Sujoy Sikdar (RPI); Tyler Shepherd
(Rensselaer Polytechnic Institute (RPI)); Zhibing Zhao (RPI); Chunheng Jiang (Rensselaer
Polytechnic Institute (RPI)); Lirong Xia (RPI)
– Attacking Data Transforming Learners at Training Time
Scott Alfeld (Amherst College)*; Ara Vartanian (U Wisconsin–Madison); Lucas NewmanJohnson (Amherst College); Benjamin Rubinstein (University of Melbourne)
– Analyzing Compositionality-Sensitivity of NLI Models
Yixin Nie (UNC-Chapel Hill)*; Yicheng Wang (UNC-Chapel Hill); Mohit Bansal (University of North
Carolina at Chapel Hill)
– On the True Number of Clusters in a Dataset
Amber Srivastava (University of Illinois at Urbana Champaign)*; Mayank Baranwal (UIUC);
Srinivasa Salapaka (University of Illinois at Urbana Champaign)
– Multi-context System For Optimization Problems
Tiep Le (New Mexico State University)*; Son Tran (New Mexico State University); Enrico Pontelli
(New Mexico State University)
– On the Proximity of Markets with Integral Equilibria
Siddharth Barman (Indian Institute of Science); Sanath Kumar Krishnamurthy (Stanford
University)*
– MNCN: A Multilingual Ngram-based Convolutional Network for Aspect Category
Detection in Online Reviews
Erfan Ghadery (University of Tehran)*; Sajad Movahedi (University of Tehran); Azadeh Shakery
(University of Tehran); Heshaam Faili (University of Tehran)
– Ontology-Mediated Query Answering over Log-Linear Probabilistic Data
Stefan Borgwardt (TU Dresden); Ismail I Ceylan (Univesity of Oxford)*; Thomas Lukasiewicz
(University of Oxford)
– A Bandit Approach to Maximum Inner Product Search
Rui Liu (University of Michigan)*; Tianyi Wu (University of Michigan, Ann Arbor); Barzan
Mozafari (University of Michigan)
– Combining Fact Extraction and Verification with Neural Semantic Matching Networks
Yixin Nie (UNC-Chapel Hill)*; Haonan Chen (University of North Carolina, Chapel Hil); Mohit
Bansal (University of North Carolina at Chapel Hill)
– Measurement Maximizing Adaptive Sampling With Risk Bounding Functions
Benjamin J Ayton (Massachusetts Institute of Technology)*; Brian Williams (Massachusetts
Institute of Technology); Richard Camilli (Woods Hole Oceanographic Institution)
– Near Neighbor Approach for Learning Random Preference
Ao LIU (Rensselaer Polytechnic Institute)*; Qiong WU (College of William and Mary); Zhenming
LIU (College of William & Mary); Lirong Xia (RPI)
– Multi-Perspective Relevance Matching with Hierarchical ConvNets for Social Media
Search
Jinfeng Rao (University of Maryland College Park)*; Wei Yang (University of Waterloo); Yuhao
Zhang (Stanford University); Ferhan Ture (Comcast Applied AI Research); Jimmy Lin (University
of Waterloo)
– Generalized Distance Bribery
Dorothea Baumeister (Duesseldorf)*; Tobias Hogrebe (HHU Duesseldorf); Lisa Rey (HHU
Duesseldorf)
– Learning Plackett-Luce Mixtures from Partial Preferences
Ao LIU (Rensselaer Polytechnic Institute)*; Zhibing Zhao (RPI); Chao Liao (Shanghai University of
Finance and Economics); Pinyan Lu (Shanghai University of Finance and Economics); Lirong Xia
(RPI)
– Representing and Learning Grammars in Answer Set Programming
Mark Law (Imperial College London)*; Alessandra Russo (Imperial College London); Elisa Bertino
(Purdue University); Krysia Broda (Imperial College London); Jorge Lobo (ICREA - Universitat
Pompeo Fabra)
– Resisting Adversarial Attacks using Gaussian Mixture Variational Autoencoders
Arpan Losalka (IBM Research AI)*; Partha Ghosh (Max Planck Inst. for Int. Sysl); Michael J. Black
(Max Planck Institute for Intelligent Systems)
– Evaluating Recommender System Stability with Influence-Guided Fuzzing
David Shriver (University of Virginia)*; Sebastian Elbaum (University of Virginia); Matthew
Dwyer (University of Virginia); David Rosenblum (National University of Singapore)
– Iterated Belief Base Change: a Dynamic Epistemic Logic approach
Marlo Souza (Federal University of Bahia)*; Alvaro F Moreira (Federal University of rio Grande
do Sul); Renata Vieira (PUCRS)
– Learning to Adaptively Scale Recurrent Neural Networks
Hao Hu (University of Central Florida)*; Guo-Jun Qi (University of Central Florida); Liqiang Wang
(University of Central Florida)
– Learning Vine Copula Models For Synthetic Data Generation
Yi Sun (MIT)*; Alfredo Cuesta Infante (Universidad Rey Juan Carlos); Kalyan Veeramachaneni
(MIT)
– Human-like Sketch Object Recognition via Analogical Learning
Kezhen Chen (Northwestern University)*; Irina Rabkina (Northwestern University); Matthew
McLure (Northwestern University); Ken Forbus (Northwestern University)
– Robustness Envelopes for Temporal Plans
Michael Cashmore (KCL); Alessandro Cimatti (FBK); Daniele Magazzeni (King’s College London);
Andrea Micheli (Fondazione Bruno Kessler)*; Parisa Zehtabi (KCL)
– Non-Parametric Transformation Networks
Dipan K Pal (Carnegie Mellon University)*; Marios Savvides (Carnegie Mellon University)
– Guided Dropout: A Strength Based Neuron Dropping Approach to Improve Generalization
of Neural Network
Rohit Keshari (IIIT Delhi); Richa Singh (IIIT-Delhi)*; Mayank Vatsa (IIIT-Delhi)
– Data Fine-tuning
Saheb Chhabra (IIITD); Puspita Majumdar (IIIT Delhi); Mayank Vatsa (IIIT-Delhi)*; Richa Singh
(IIIT-Delhi)
– Multi-task architecture learning
Sebastian Ruder (Insight Research Centre, National University of Ireland)*; Joachim Bingel
(University of Copenhagen); Isabelle Augenstein (University of Copenhagen); Anders Søgaard
(University of Copenhagen)
– A PSPACE Subclass of Dependency Quantified Boolean Formulas and Its Effective Solving
Christoph Scholl (University of Freiburg)*; Jie-Hong R Jiang (National Taiwan University); Ralf
Wimmer (Albert-Ludwigs-Universität Freiburg); Aile Ge-Ernst (University of Freiburg)
– Multilevel Language and Vision Integration for Text-to-Clip Retrieval
Huijuan Xu (Boston University)*; Kun He (Boston University); Bryan Plummer (Boston
University); Leonid Sigal (University of British Columbia); Stan Sclaroff (Boston University); Kate
Saenko (Boston University)
– Fast PMI-Based Word Embedding with Efficient Use of Unobserved Patterns
Behrouz Haji Soleimani (Dalhousie University)*; Stan Matwin (Dalhousie University)
– Learning optimal classification trees using a binary linear program formulation
Sicco Verwer (TU Deflt)*; Yingqian Zhang (Eindhoven University of Technology (TU/e))
– Manifold-valued Image Generation with Wasserstein Generative Adversarial Nets
Zhiwu Huang (ETH Zurich)*; Jiqing Wu (ETH Zurich); Luc Van Gool (ETH Zurich)
– Zero-shot Neural Transfer for Cross-lingual Entity Linking
Shruti Rijhwani (Carnegie Mellon University)*; Jiateng Xie (Carnegie Mellon University); Graham
Neubig (Carnegie Mellon University); Jaime Carbonell (Carnegie Mellon University)
– Consensus in Opinion Formation Processes in Fully Evolving Environments
Vincenzo Auletta (Università di Salerno, Italy); Angelo Fanelli (CNRS); Diodato Ferraioli
(Università di Salerno)*
– Learning Multi-task Communication with Message Passing for Sequence Learning
Pengfei Liu (Fudan University)*; Jie Fu (Polytechnique Montreal); Yue Dong (McGill); Xipeng Qiu
(Fudan University); Jackie Chi Kit Cheung ()
– Learning Deviation Payoffs in Simulation-Based Games
Samuel Sokota (Swarthmore College); Caleb Ho (Swarthmore College); Bryce Wiedenbeck
(Swarthmore College)*
– Learning How to Ground a Plan - Partial Grounding in Classical Planning
Daniel Gnad (Saarland University)*; Alvaro Torralba (Saarland University); Martin Dominguez
(Universidad Nacional de Córdoba); Carlos Areces (Universidad Nacional de Córdoba); Facundo
Bustos (Universidad Nacional de Córdoba)
– Triple Classification Using Regions And Fine-Grained Entity Typing
Tiansi Dong (University of Bonn)*; Zhigang Wang (Aisino Corporation); Juanzi Li (Tsinghua
University); Christian Bauckhage (Fraunhofer IAIS); Armin Cremers (University of Bonn)
– Fast, Memory-Efficient and Simple Mixture of Softmaxes with BPE and Hybrid-LightRNN
for Language Generation
Xiang Kong (Carnegie Mellon University)*; Qizhe Xie (Carnegie Mellon University); Zihang Dai
(Carnegie Mellon University); Eduard Hovy (Carnegie Mellon University)
– Transfer Learning Only Using the Source Model and the Target Data for Sequence
Labeling Tasks
Lingzhen Chen (University of Trento)*; Alessandro Moschitti ()
– Near-lossless Binarization of Word Embeddings
Julien Tissier (Laboratoire Hubert Curien)*; Amaury Habrard (Univ. St Etienne); Christophe
Gravier ()
– Gradient-based Inference for Networks with Output Constraints
Jay-Yoon Lee (Carnegie Mellon University)*; Michael Wick (Oracle Labs); Sanket Vaibhav Mehta
(Carnegie Mellon University); Jean-Baptiste Tristan (Oracle Labs); Jaime Carbonell (Carnegie
Mellon University)
– Analysis of Joint Multilingual Sentence Representations and Semantic K-Nearest Neighbor
Graphs
Holger Schwenk (Facebook AI Research)*; Matthijs Douze (Facebook AI Research); Douwe Kiela
(Facebook AI Research)
– Incomplete Label Multi-task Deep Learning for Spatio-temporal Event Subtype
Forecasting
Yuyang Gao (George Mason University); Liang Zhao (George Mason university)*; Lingfei Wu
(IBM Research); Yanfang Ye (West Virginia University); Hui Xiong (the State University of New
Jersey); Chaowei Yang (George Mason University)
– Improving Neural Question Generation using Answer Separation
Yanghoon Kim (Seoul National University)*; Hwanhee Lee (Seoul National University); Joongbo
Shin (Seoul National University); Kyomin Jung (Seoul National University, Samung R&D Institute
India)
– A New Ensemble Learning Framework for 3D Biomedical Image Segmentation
Hao Zheng (University of Notre Dame)*; Yizhe Zhang (University of Notre Dame); Lin Yang
(University of Notre Dame); Peixian Liang (University of Notre Dame); Zhuo Zhao (University of
Notre Dame); Chaoli Wang (University of Notre Dame); Danny Z Chen (University of Notre
Dame)
– Identification of Causal Effects in the Presence of Selection Bias
Juan D Correa (Purdue University)*; Jin Tian (Iowa State University); Elias Bareinboim (Purdue
University)
– On the Parameters and Caveats of Mixture Models for Quantification
André G. Maletzke (Universidade de São Paulo)*; Denis M. Reis (Universidade de São Paulo);
Everton Cherman (Universidade de São paulo); Gustavo Batista (USP)
– Contextualized Non-local Neural Networks for Sequence Learning
Pengfei Liu (Fudan University)*; Shuaichen Chang (The Ohio State University); Jian Tang (U
Montreal); Jackie Chi Kit Cheung ()
– Robust Negative Sampling for Network Embedding
Mohammadreza Armandpour (Texas A&M University)*; Patrick Ding (Texas A&M University);
Jianhua Huang (Texas A&M University); Xia Hu (Texas A&M University)
– SNR: Sub-Network Routing for Flexible Parameter Sharing in Multi-task Learning
Jiaqi Ma (University of Michigan)*; Zhe Zhao (Google Brain); Jilin Chen (Google Brain); Ang Li
(Google DeepMind, Mountain View); Lichan Hong (Google); Ed Chi (Google)
– Bayesian Execution Skill Estimation
Christopher Archibald (Mississippi State University); Delma I Nieves-Rivera (Mississippi State
University)*
– Efficient Online Learning For Mapping Kernels On Linguistic Structures
Giovanni Da San Martino (Qatar Computing Research Institute)*; Fabio Aiolli (Universita’ di
Padova); Alessandro Sperduti (University of Padova); Alessandro Moschitti (Amazon)
– Improving Distantly Supervised Relation Extraction with Neural Noise Converter and
Conditional Optimal Selector
Shanchan Wu (Alibaba Group)*; Kai Fan (Alibaba DAMO Academy); Qiong Zhang (Alibaba
Group)
– Dynamic Contracting under Positive Commitment
Renato Paes Leme (Google Research)*; Ilan Lobel (NYU Stern School of Business)
– SAFE: A Neural Survival Analysis Model for Fraud Early Detection
Panpan Zheng (University of Arkansas); Shuhan Yuan (University of Arkansas)*; Xintao Wu
(University of Arkansas)
– Counting Complexity for Reasoning in Abstract Argumentation
Johannes K Fichte (TU Dresden)*; Markus Hecher (TU Wien); Arne Meier (Leibniz Universität
Hannover)
– One-Class Adversarial Nets for Fraud Detection
Panpan Zheng (University of Arkansas); Shuhan Yuan (University of Arkansas)*; Xintao Wu
(University of Arkansas); Jun Li (University of Oregon); Aidong Lu (University of North Carolina
at Charlotte)
– CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert
Comparison
Jeremy A Irvin (Stanford)*; Pranav Rajpurkar (Stanford University); Lungren Matthew (Stanford
University)
– Online Learning with Feature Space Adaptive Constraints
Ege Beyazıt (University of Louisiana at Lafayette)*; Jeevithan Alagurajah (University of Louisiana
at Lafayette); Wu Xindong (University of Louisiana, Louisiana)
– Structured Bayesian Networks: From Inference to Learning with Routes
Yujia Shen (UCLA); Anchal Goyanka (UCLA); Adnan Darwiche (UCLA); Arthur Choi (UCLA)*
– Pareto Efficient Auctions with Interest Rates
Renato Paes Leme (Google Research)*; Vahab Mirrokni (Google); Gagan Goel (Google)
– Learning Triggers for Heterogeneous Treatment Effects
Tran Christopher (University of Illinois at Chicago)*; Elena Zheleva (University of Illinois at
Chicago)
– ``Bilingual Expert" Can Find Translation Errors
Kai Fan (Alibaba DAMO Academy)*; Jiayi Wang (Alibaba Group); Bo Li (Alibaba Group);
Fengming Zhou (Alibaba Group); Boxing Chen (Alibaba); Luo Si (Alibaba Group)
– Zero Shot Learning for Code Education: Rubric Sampling with Deep Learning Inference
Mike H Wu (Stanford University)*; Milan Mosse (Stanford University); Noah Goodman
(Stanford University); Chris Piech (Stanford University)
– Combined Reinforcement Learning via Abstract Representations
vincent francois-lavet (McGill)*; Yoshua Bengio (Universite de Montreal); Doina Precup (McGill
University); Joelle Pineau (McGill / Facebook)
– On Lifted Inference using Neural Embeddings
Maminur Islam (University of Memphis); Somdeb Sarkhel (Adobe); Deepak Venugopal ()*
– Algorithms for Estimating Trends in Global Temperature Volatility
Arash Khodadadi (Indiana University); Daniel McDonald (Indiana University)*
– Non-Asymptotic Uniform Rates of Consistency for k-NN Regression
Heinrich Jiang (Google)*
– Constraint-based Sequential Pattern Mining with Decision Diagrams
Amin Hosseininasab (Tepper School of Business, Carnegie Mellon University)*; Willem van
Hoeve (Carnegie Mellon University); Andre Augusto Cire (University of Toronto)
– A task in a suit and a tie: paraphrase generation with semantic augmentation
Su Wang (Google Research)*; Rahul Gupta (Google Inc.); Nancy Chang (Google Inc.); Jason
Baldridge (Google Inc.)
– Constraint-Based Explanations of Machine Learning Models
Alexey Ignatiev (Reason Lab, Faculty of Sciences, University of Lisbon)*; Nina Narodytska
(VMware Research); Joao Marques-Silva (Reason Lab, Faculty of Sciences, University of Lisbon)
– Graph based Translation Memory for Neural Machine Translation
Mengzhou Xia (Carnegie Mellon University)*; Guoping Huang (Tencent AI Lab); Lemao Liu
(Tencent AI Lab); Shuming Shi (Tencent AI Lab)
– Efficiently Combining Human Demonstrations and Interventions for Safe Training of
Autonomous Systems in Real-Time
Vinicius G. Goecks (Texas A&M University); Gregory Gremillion (US Army Research Laboratory);
Vernon Lawhern (US Army Research Laboratory); John Valasek (Texas A&M); Nicholas R
Waytowich (US Army Research Laboratory)*
– An Improved Generic Bet-and-Run Strategy with Performance Prediction for Stochastic
Local Search
Thomas Weise (Hefei University)*; Zijun Wu (Hefei University); Markus Wagner (The University
of Adelaide)
– Distributional Semantics meets Multi-Label Learning
Vivek Gupta (University of Utah)*; Rahul Wadbude (AlphaGrep); Piyush Rai (IIT Kanpur);
Nagarajan Natarajan (Microsoft Research); Harish Karnick (IIT Kanpur); Prateek Jain (Microsoft
Research)
– Orderly Subspace Clustering
Jing Wang (University of Tokyo)*; Atsushi Suzuki (University of Tokyo); Linchuan Xu (University
of Tokyo); Feng Tian (Bournemouth University); Liang Yang (Hebei University of Technology);
Kenji Yamanishi (The University of Tokyo)
– Enriching Word Embeddings with a Regressor Instead of Labeled Corpora
Mohamed Abdalla (University of Toronto)*; Magnus Sahlgren (Research Institutes of Sweden);
Graeme Hirst (University of Toronto, Canada)
– Jointly Learning to Label Sentences and Tokens
Marek Rei (University of Cambridge)*; Anders Søgaard (University of Copenhagen)
– Fast Iterative Combinatorial Auctions via Bayesian Learning
Gianluca Brero (University of Zurich)*; Sebastien Lahaie (Google Research); Sven Seuken
(University of Zurich)
– Updates in Human-AI Teams: Understanding and Addressing the
Performance/Compatibility Tradeoff
Gagan Bansal (University of Washington)*; Besmira Nushi (Microsoft Research); Ece Kamar
(Microsoft Research); Daniel Weld (University of Washington); Walter Lasecki (University of
Michigan); Eric Horvitz (MSR)
– Concurrency Debugging with Maximum Satisfiability
Miguel Terra-Neves (INESC-ID/IST, Universidade de Lisboa)*; Nuno Machado (INESC TEC); Ines
Lynce (INESC-ID/IST, Universidade de Lisboa); Vasco Manquinho (INESC-ID/IST, Universidade de
Lisboa)
– Machine Learning Methods for Automatic Passive Acoustic Monitoring of the African
Forest Elephant
Johan Björck (Cornell)*; Brendan Rapazzo (Cornell); Di Chen (Cornell); Rich Bernstein (Cornell);
Peter Wrege (Cornell); Carla P Gomes (Cornell University)
– Learning Optimal and Fair Decision Trees for Non-Discriminative Decision-Making
Mohammad Javad Azizi (University of Southern California); Sina Aghaei (University of Southern
California); Phebe Vayanos (University of Southern California)*
– Improved Knowledge Graph Embedding using Background Taxonomic Information
Bahare Fatemi (University of British Columbia)*; Siamak Ravanbakhsh (University of British
Columbia); David Poole (University of British Columbia)
– DeepTileBars: Visualizing Term Distribution for Neural Information Retrieval
Zhiwen Tang (Georgetown University); Grace Hui Yang (Georgetown University)*
– Towards Non-saturating Recurrent Units for Modelling Long-term Dependencies
Sarath Chandar (University of Montreal)*; Chinnadhurai Sankar (University of Montreal);
Eugene Vorontsov (Polytechnique Montreal); Samira Ebrahimi Kahou (Microsoft); Yoshua
Bengio (Universite de Montreal)
– An Improved Quasi-Polynomial Algorithm for Approximate Well-Supported Nash
Equilibria
Michail Fasoulakis (Institute of Computer Science, Foundation for Research and TechnologyHellas (ICS-FORTH)); Vangelis Markakis (Athens University of Economics and Business)*
– IPOMDP-Net: A Deep Neural Network for Partially Observable Multi-Agent Planning using
Interactive POMDPs
Yanlin Han (UIC)*; Piotr Gmytrasiewicz (UIC)
– Learning from Web Data using Adversarial Discriminative Neural Networks for FineGrained Classification
Jufeng Yang (Nankai University )*; Xiaoxiao Sun (Nankai University); Liyi Chen (Nankai
University)
– Dimension-free error bounds from random projections
