AAAI-19 Poster / Demo Paper Guide Coral Lounge Hilton Hawaiian Village

Tuesday, January 29, 6:30 – 8:30 PM Wednesday, January 30, 6:30 – 8:30 PM Thursday, January 31, 6:30 – 8:30 PM

WELCOME TO THE AAAI-19 POSTER AND DEMO SESSIONS!

Each AAAI 19 Poster/Demo Session will include posters by authors who have given or will give oral or spotlight presentations during the conference. Most are scheduled on the same evening as the oral presentation, or as close as possible in time. (Note that some oral paper presenters elected not to participate in the poster portion of the program.) Papers will be organized by primary subject areas in the poster/demo sessions and signs will be posted to designate clusters of subject areas. Posters will be arranged within subject area by paper ID numbers. Tuesday evening will also include Doctoral Consortium posters and EAAI-19 posters. A total of 15 technical demos and 90 student abstract posters will be divided among the three evening sessions. Eighteen student abstract posters, selected as finalists in the 3-Minute Presentation Award Contest, will be presented on Wednesday evening, and are designated by an * in the schedule. Please see the back cover for the general area where posters and demos will be available each evening.

The code, such as ML1, preceding the paper code and title denotes the corresponding board position in the layout for that day. (Note that posters have been grouped with their proceedings content area, which may be different than their session name.)

Tuesday, January 29 AISI3696: Bias Reduction via End-to-End Shift Learning: 6:30 – 8:30 PM Application to Citizen Science (Special Track) Di Chen, Carla P. Gomes AI for Social Impact (AISI) AISI4235: Latent Dirichlet Allocation for Internet Price War AISI332: Migration as Submodular Optimization (Special Track) Chenchen Li, Xiang Yan, Xiaotie Deng, Yuan Qi, Wei Chu, Le Song, Paul Goelz, Ariel D. Procaccia Junlong Qiao, Jianshan He, Junwu Xiong

AISI436: Optimal Surveillance of Covert Networks by AISI4335: Multi-GCN: Graph Convolutional Networks for Multi- Minimizing Inverse Geodesic Length View Networks, with Applications to Global Poverty (Special Serge Gaspers, Kamran Najeebullah Track) Muhammad Raza Khan, Joshua E. Blumenstock AISI1457: Predicting Hurricane Trajectories Using a Recurrent Neural Network (Special Track) AISI4653: Deep Hierarchical Graph Convolution for Election Sheila Alemany, Jonathan Beltran, Adrian Perez, Sam Ganzfried Prediction from Geospatial Census Data (Special Track) Mike Li, Elija Perrier, Chang Xu AISI2360: AutoZOOM: Autoencoder-Based Zeroth Order Optimization Method for Attacking Black-Box Neural Networks AISI5023: Forbidden Nodes Aware Community Search Chun-Chen Tu, Paishun Ting, Pin-Yu Chen, Sijia Liu, Huan Zhang, Jinfeng Chaokun Wang, Junchao Zhu Yi, Cho-Jui Hsieh, Shin-Ming Cheng AISI5487: Understanding Dropouts in MOOCs (Special Track) AISI2972: Who Blames Whom in a Crisis? Detecting Blame Ties Wenzheng Feng, Jie Tang, Tracy Xiao Liu from News Articles Using Neural Networks Shuailong Liang, Olivia Nicol, Yue Zhang AISI5611: Coverage Centrality Maximization in Undirected Networks AISI3002: Emergency Department Online Patient-Caregiver Gianlorenzo D'Angelo, Martin Olsen, Lorenzo Severini Scheduling (Special Track) Hanan Rosemarin, Ariel Rosenfeld, Sarit Kraus AISI5951: HireNet: A Hierarchical Attention Model for the Automatic Analysis of Asynchronous Video Job Interviews AISI3315: EnsNet: Ensconce Text in the Wild (Special Track) Shuaitao Zhang, Yuliang Liu, Lianwen Jin, Yaoxiong Huang, Songxuan Léo Hemamou, Ghazi Felhi, Vincent Vandenbussche, Jean-Claude Lai Martin, Chloé Clavel

AISI3347: ReAl-LiFE: Accelerating the Discovery of AISI6038: Exploiting Time-Series Image-to-Image Translation Individualized Brain Connectomes on GPUs to Expand the Range of Wildlife Habitat Analysis (Special Track) Sawan Kumar, Varsha Sreenivasan, Partha Talukdar, Franco Pestilli, Ruobing Zheng, Ze Luo, Baoping Yan Devarajan Sridharan AISI6537: CheXpert: A Large Chest Radiograph Dataset with AISI3453: Hotels-50K: A Global Hotel Recognition Dataset Uncertainty Labels and Expert Comparison (Special Track) (Special Track) Jeremy Irvin, Pranav Rajpurkar, Michael Ko, Yifan Yu, Silviana Ciurea- Abby Stylianou, Hong Xuan, Maya Shende, Jonathan Brandt, Richard Ilcus, Chris Chute, Henrik Marklund, Behzad Haghgoo, Robyn Ball, Katie Souvenir, Robert Pless Shpanskaya, Jayne Seekins, David A. Mong, Safwan S. Halabi, Jesse K. Sandberg, Ricky Jones, David B. Larson, Curtis P. Langlotz, Bhavik N. AISI3580: Detecting Incongruity between News Headline and Patel, Matthew P. Lungren, Andrew Y. Ng Body Text via a Deep Hierarchical Encoder (Special Track) Seunghyun Yoon, Kunwoo Park, Joongbo Shin, Hongjun Lim, Seungpil AISI6593: Algorithms for Estimating Trends in Global Won, Meeyoung Cha, Kyomin Jung Temperature Volatility Arash Khodadadi, Daniel J. McDonald AISI3586: Blameworthiness in Multi-Agent Settings Meir Friedenberg, Joseph Y. Halpern

AISI6672: Automatic Detection and Compression for Passive AIW2855: Cross-Relation Cross-Bag Attention for Distantly- Acoustic Monitoring of the African Forest Elephant (Special Supervised Relation Extraction Track) Yujin Yuan, Liyuan Liu, Siliang Tang, Zhongfei Zhang, Yueting Zhuang, Johan Björck, Brendan H. Rapazzo, Di Chen, Richard Bernstein, Peter H. Shiliang Pu, Fei Wu, Xiang Ren Wrege, Carla P. Gomes AIW2930: Addressing the Under-Translation Problem from the AISI7013: Bidirectional Inference Networks: A Class of Deep Entropy Perspective Bayesian Networks for Health Profiling Yang Zhao, Jiajun Zhang, Chengqing Zong, Zhongjun He, Hua Wu Hao Wang, Chengzhi Mao, Hao He, Mingmin Zhao, Tommi S. Jaakkola, Dina Katabi AIW2990: Learning to Align Question and Answer Utterances in Customer Service Conversation with Recurrent Pointer AISI7437: A Study of Educational Data Mining: Evidence from a Networks Thai University (Special Track) Shizhu He, Kang Liu, Weiting An Ruangsak Trakunphutthirak, Yen Cheung, Vincent C. S. Lee AIW2997: Popularity Prediction on Online Articles with Deep AISI7479: Knowledge Tracing Machines: Factorization Fusion of Temporal Process and Content Features Machines for Knowledge Tracing Dongliang Liao, Jin Xu, Gongfu Li, Weijie Huang, Weiqing Liu, Jing Li Jill-Jênn Vie, Hisashi Kashima AIW3125: Incorporating Network Embedding into Markov AISI7512: PGANs: Personalized Generative Adversarial Random Field for Better Community Detection Networks for ECG Synthesis to Improve Patient-Specific Deep Di Jin, Xinxin You, Weihao Li, Dongxiao He, Peng Cui, Françoise ECG Classification Fogelman-Soulié, Tanmoy Chakraborty Tomer Golany, Kira Radinsky AIW3191: UGSD: User Generated Sentiment Dictionaries from AISI7815: Learning to Address Health Inequality in the United Online Customer Reviews States with a Bayesian Decision Network (Special Track) Chun-Hsiang Wang, Kang-Chun Fan, Chuan-Ju Wang, Ming-Feng Tsai Tavpritesh Sethi, Anant Mittal, Shubham Maheshwari, Samarth Chugh AIW3283: Cooperative Multimodal Approach to Depression AI and the Web (AIW) Detection in Twitter Tao Gui, Liang Zhu, Qi Zhang, Minlong Peng, Xu Zhou, Keyu Ding, AIW325: Multi-View Information-Theoretic Co-Clustering for Zhigang Chen Co-Occurrence Data Peng Xu, Zhaohong Deng, Kup-Sze Choi, Longbing Cao, Shitong Wang AIW3367: Multi-Interactive Memory Network for Aspect Based Multimodal Sentiment Analysis AIW974: Dynamic Explainable Recommendation Based on Nan Xu, Wenji Mao, Guandan Chen Neural Attentive Models Xu Chen, Yongfeng Zhang, Zheng Qin AIW3790: ATP: Directed Graph Embedding with Asymmetric Transitivity Preservation AIW1169: TransNFCM: Translation-Based Neural Fashion Jiankai Sun, Bortik Bandyopadhyay, Armin Bashizade, Jiongqian Liang, Compatibility Modeling Ponnuswamy Sadayappan, Srinivasan Parthasarathy Xun Yang, Yunshan Ma, Lizi Liao, Meng Wang, Tat-Seng Chua AIW3855: Regularizing Neural Machine Translation by Target- AIW1386: Feature Sampling Based Unsupervised Semantic Bidirectional Agreement Clustering for Real Web Multi-View Content Zhirui Zhang, Shuangzhi Wu, Shujie Liu, Mu Li, Ming Zhou, Tong Xu Xiaolong Gong, Linpeng Huang, Fuwei Wang AIW4013: Answer Identification from Product Reviews for AIW1715: Outlier Aware Network Embedding for Attributed User Questions by Multi-Task Attentive Networks Networks Long Chen, Ziyu Guan, Wei Zhao, Wanqing Zhao, Xiaopeng Wang, Zhou Sambaran Bandyopadhyay, Lokesh N, M Narasimha Murty Zhao, Huan Sun

AIW1769: Structured and Sparse Annotations for Image AIW4268: Community Focusing: Yet Another Query-Dependent Emotion Distribution Learning Community Detection Haitao Xiong, Hongfu Liu, Bineng Zhong, Yun Fu Zhuo Wang, Weiping Wang, Chaokun Wang, Xiaoyan Gu, Bo Li, Dan Meng AIW1853: ColNet: Embedding the Semantics of Web Tables for Column Type Prediction AIW4306: Graph Convolutional Networks Meet Markov Jiaoyan Chen, Ernesto Jimenez-Ruiz, Ian Horrocks, Charles Sutton Random Fields: Semi-Supervised Community Detection in Attribute Networks AIW1915: Deeply Fusing Reviews and Contents for Cold Start Di Jin, Ziyang Liu, Weihao Li, Dongxiao He, Weixiong Zhang Users in Cross-Domain Recommendation Systems Wenjing Fu, Zhaohui Peng, Senzhang Wang, Yang Xu, Jin Li AIW4375: Comparative Document Summarisation via Classification AIW2650: CISI-Net: Explicit Latent Content Inference and Umanga Bista, Alexander Mathews, Minjeong Shin, Aditya Krishna Imitated Style Rendering for Image Inpainting Menon, Lexing Xie Jing Xiao, Liang Liao, Qiegen Liu, Ruimin Hu AIW4500: Crawling the Community Structure of Multiplex AIW2795: Discrete Social Recommendation Networks Chenghao Liu, Xin Wang, Tao Lu, Wenwu Zhu, Jianling Sun, Ricky Laishram, Jeremy D. Wendt, Sucheta Soundarajan Steven C. H. Hoi

AIW4550: Supervised User Ranking in Signed Social Networks APP1362: Efficient Region Embedding with Multi-View Spatial Xiaoming Li, Hui Fang, Jie Zhang Networks: A Perspective of Locality-Constrained Spatial Autocorrelations AIW4589: Context-Aware Self-Attention Networks Yanjie Fu, Pengyang Wang, Jiadi Du, Le Wu, Xiaolin Li Baosong Yang, Jian LI, Derek F. Wong, Lidia S. Chao, Xing Wang, Zhaopeng Tu APP1365: Combo-Action: Training Agent for FPS Game with Auxiliary Tasks AIW4631: DTMT: A Novel Deep Transition Architecture for Shiyu Huang, Hang Su, Jun Zhu, Tim Chen Neural Machine Translation Fandong Meng, Jinchao Zhang APP1370: Functional Connectivity Network Analysis with Discriminative Hub Detection for Brain Disease Identification AIW4980: Unsupervised Neural Machine Translation with SMT Mingliang Wang, Jiashuang Huang, Mingxia Liu, Daoqiang Zhang as Posterior Regularization Shuo Ren, Zhirui Zhang, Shujie Liu, Ming Zhou, Shuai Ma APP1498: TET-GAN: Text Effects Transfer via Stylization and Destylization Applications (APP) Shuai Yang, Jiaying Liu, Wenjing Wang, Zongming Guo

APP81: PhoneMD: Learning to Diagnose Parkinson's Disease APP2189: Joint Representation Learning for Multi-Modal from Smartphone Data Transportation Recommendation Patrick Schwab, Walter Karlen Hao Liu, Ting Li, Renjun Hu, Yanjie Fu, Jingjing Gu, Hui Xiong

APP189: MetaStyle: Three-Way Trade-Off among Speed, APP2297: Connecting the Digital and Physical World: Flexibility and Quality in Neural Style Transfer Improving the Robustness of Adversarial Attacks Chi Zhang, Yixin Zhu, Song-Chun Zhu Steve T. K. Jan, Joseph C. E. Messou, Yen-Chen Lin, Jia-Bin Huang, Gang

Wang APP669: A2-Net: Molecular Structure Estimation for Cryo-EM

Density Volumes APP2483: Scalable Robust Kidney Exchange Kui Xu, Zhe Wang, Jianping Shi, Hongsheng Li, Qiangfeng Cliff Zhang Duncan C. McElfresh, Hoda Bidkhori, John P. Dickerson

APP723: Perceptual-Sensitive GAN for Generating Adversarial APP3131: Turbo Learning Framework for Human-Object Patches Interactions Recognition and Human Pose Estimation Aishan Liu, Xianglong Liu, Jiaxin Fan, Yuqing Ma, Anlan Zhang, Huiyuan Wei Feng, Wentao Liu, Tong Li, Jing Peng, Chen Qian, Xiaolin Hu Xie, Dacheng Tao

APP4329: Incorporating Semantic Similarity with Geographic APP846: Differentially Private Empirical Risk Minimization Correlation for Query-POI Relevance Learning with Smooth Non-Convex Loss Functions: A Non-Stationary Ji Zhao, Dan Peng, Chuhan Wu, Huan Chen, Meiyu Yu, Wanji Zheng, Li View Ma, Hua Chai, Jieping Ye, Xiaohu Qie Di Wang, Jinhui Xu APP4503: Spatiality Preservable Factored Poisson Regression APP887: G2C: A Generator-to-Classifier Framework Integrating for Large-Scale Fine-Grained GPS-Based Population Analysis Multi-Stained Visual Cues for Pathological Glomerulus Masamichi Shimosaka, Yuta Hayakawa, Kota Tsubouchi Classification Bingzhe Wu, Xiaolu Zhang, Shiwan Zhao, Lingxi Xie, Caihong Zeng, APP5150: Optimal Interdiction of Urban Criminals with the Aid Zhihong Liu, Guangyu Sun of Real-Time Information

Youzhi Zhang, Qingyu Guo, Bo An, Long Tran-Thanh, Nicholas R. APP1036: Traffic Updates: Saying a Lot While Revealing a Little Jennings John Krumm, Eric Horvitz APP5163: Cash-Out User Detection Based on Attributed APP1086: Pathological Evidence Exploration in Deep Retinal Heterogeneous Information Network with a Hierarchical Image Diagnosis Attention Mechanism Yuhao Niu, Lin Gu, Feng Lu, Feifan Lv, Zongji Wang, Imari Sato, Zijian Binbin Hu, Zhiqiang Zhang, Chuan Shi, Jun Zhou, Xiaolong Li, Yuan Qi Zhang, Yangyan Xiao, Xunzhang Dai, Tingting Cheng

APP5790: Subtask Gated Networks for Non-Intrusive Load APP1181: Deep Latent Generative Models for Energy Monitoring Disaggregation Changho Shin, Sunghwan Joo, Jaeryun Yim, Hyoseop Lee, Taesup Moon, Gissella Bejarano, David DeFazio, Arti Ramesh Wonjong Rhee

APP1194: GAMENet: Graph Augmented MEmory Networks for APP5965: VidyutVanika: A Reinforcement Learning Based Recommending Medication Combination Broker Agent for a Power Trading Competition Junyuan Shang, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun Susobhan Ghosh, Easwar Subramanian, Sanjay P. Bhat, Sujit Gujar,

Praveen Paruchuri APP1199: The Kelly Growth Optimal Portfolio with Ensemble Learning Cognitive Modeling (CM) Weiwei Shen, Bin Wang, Jian Pu, Jun Wang CM1534: Cognitive Deficit of Deep Learning in Numerosity APP1335: Deep Reinforcement Learning for Syntactic Error Xiaolin Wu, Xi Zhang, Xiao Shu Repair in Student Programs Rahul Gupta, Aditya Kanade, Shirish Shevade CM1732: TDSNN: From Deep Neural Networks to Deep Spike Neural Networks with Temporal-Coding Lei Zhang, Shengyuan Zhou, Tian Zhi, Zidong Du, Yunji Chen

CM5274: MPD-AL: An Efficient Membrane Potential Driven CSUS: 1790: Deep Reinforcement Learning for Green Security Aggregate-Label Learning Algorithm for Spiking Neurons Games with Real-Time Information Malu Zhang, Jibin Wu, Yansong Chua, Xiaoling Luo, Zihan Pan, Dan Liu, Yufei Wang, Zheyuan Ryan Shi, Lantao Yu, Yi Wu, Rohit Singh, Lucas Haizhou Li Joppa, Fei Fang

CM8106: Direct Training for Spiking Neural Networks: Faster, CSUS: 3826: A Deep Neural Network for Unsupervised Anomaly Larger, Better Detection and Diagnosis in Multivariate Time Series Data Yujie Wu, Lei Deng, Guoqi Li, Jun Zhu, Yuan Xie, Luping Shi Chuxu Zhang, Dongjin Song, Yuncong Chen, Xinyang Feng, Cristian Lumezanu, Wei Cheng, Jingchao Ni, Bo Zong, Haifeng Chen, Nitesh V. Cognitive Systems (CS) Chawla

CS1646: Simulation-Based Approach to Efficient Commonsense CSUS: 6971: Interpretable Predictive Modeling for Climate Reasoning in Very Large Knowledge Bases Variables with Weighted Lasso Abhishek Sharma, Keith M. Goolsbey Sijie He, Xinyan Li, Vidyashankar Sivakumar, Arindam Banerjee

CS4059: Attentive Tensor Product Learning Game Playing and Interactive Entertainment (GPIE) Qiuyuan Huang, Li Deng, Dapeng Wu, Chang Liu, Xiaodong He GPIE1006: Regular Boardgames CS5415: Scalable Recollections for Continual Lifelong Learning Jakub Kowalski, Maksymilian Mika, Jakub Sutowicz, Marek Szykuła Matthew Riemer, Tim Klinger, Djallel Bouneffouf, Michele Franceschini Game Theory and Economic Paradigms (GTEP) CS6279: Human-Like Sketch Object Recognition via Analogical Learning GTEP83: Fairly Allocating Many Goods with Few Queries Hoon Oh, Ariel D. Procaccia, Warut Suksompong Kezhen Chen, Irina Rabkina, Matthew D. McLure, Kenneth D. Forbus

CS7159: Modelling Autobiographical Memory Loss across Life GTEP188: Low-Distortion Social Welfare Functions Gerdus Benade, Ariel D. Procaccia, Mingda Qiao Span

Di Wang, Ah-Hwee Tan, Chunyan Miao, Ahmed A. Moustafa GTEP451: Solving Imperfect-Information Games via Discounted

Constraint Satisfaction and Optimization (CSO) Regret Minimization (AAAI-19 Outstanding Paper, Honorable Mention) CSO464: BIRD: Engineering an Efficient CNF-XOR SAT Solver Noam Brown, Tuomas Sandholm and Its Applications to Approximate Model Counting Mate Soos, Kuldeep S. Meel GTEP503: Convergence of Learning Dynamics in Information Retrieval Games CSO1609: Stochastic Submodular Maximization with Omer Ben-Porat, Itay Rosenberg, Moshe Tennenholtz Performance-Dependent Item Costs Takuro Fukunaga, Takuya Konishi, Sumio Fujita, Ken-ichi GTEP602: Distributionally Adversarial Attack Kawarabayashi Tianhang Zheng, Changyou Chen, Kui Ren

CSO2770: Melding the Data-Decisions Pipeline: Decision- GTEP607: Object Reachability via Swaps along a Line Focused Learning for Combinatorial Optimization Sen Huang, Mingyu Xiao Bryan Wilder, Bistra Dilkina, Milind Tambe GTEP1051: Revenue Enhancement Via Asymmetric Signaling in CSO3682: Optimizing in the Dark: Learning an Optimal Solution Interdependent-Value Auctions through a Simple Request Interface Zhuoshu Li, Sanmay Das Qiao Xiang, Haitao Yu, James Aspnes, Franck Le, Linghe Kong, Y. Richard Yang GTEP1248: Pareto-Optimal Allocation of Indivisible Goods with Connectivity Constraints CSO3797: Task Embedded Coordinate Update: A Realizable Ayumi Igarashi, Dominik Peters Framework for Multivariate Non-Convex Optimization Yiyang Wang, Risheng Liu, Long Ma, Xiaoliang Song GTEP1332: The Pure Price of Anarchy of Pool Block Withholding Attacks in Bitcoin Mining CSO4189: On Sampling Complexity of the Semidefinite Affine Colleen Alkalay-Houlihan, Nisarg Shah Rank Feasibility Problem Igor Molybog, Javad Lavaei GTEP1538: Online Pandora's Boxes and Bandits Hossein Esfandiari, MohammadTaghi HajiAghayi, Brendan Lucier, CSO4499: Improving Optimization Bounds Using Machine Michael Mitzenmacher Learning: Decision Diagrams Meet Deep Reinforcement Learning GTEP1984: Forming Probably Stable Communities with Quentin Cappart, Emmanuel Goutierre, David Bergman, Louis-Martin Limited Interactions Rousseau Ayumi Igarashi, Jakub Sliwinski, Yair Zick

Computational Sustainability (CSUS) GTEP2170: On Rational Delegations in Liquid Democracy Daan Bloembergen, Davide Grossi, Martin Lackner CSUS: 753: A Deep Reinforcement Learning Framework for Rebalancing Dockless Bike Sharing Systems GTEP2254: Fair Division with a Secretive Agent Ling Pan, Qingpeng Cai, Zhixuan Fang, Pingzhong Tang, Longbo Huang Eshwar Ram Arunachaleswaran, Siddharth Barman, Nidhi Rathi

CSUS: 1177: Deep Bayesian Optimization on Attributed Graphs GTEP2402: A Better Algorithm for Societal Tradeoffs Jiaxu Cui, Bo Yang, Xia Hu Hanrui Zhang, Yu Cheng, Vincent Conitzer

GTEP2405: Very Hard Electoral Control Problems KRR444: Tracking Logical Difference in Large-Scale Ontologies: Zack Fitzsimmons, Edith Hemaspaandra, Alexander Hoover, David A Forgetting-Based Approach Narvaez Yizheng Zhao, Ghadah Alghamdi, Renate A. Schmidt, Hao Feng, Giorgos Stoilos, Damir Juric, Mohammad Khodadadi GTEP2527: Defending Elections against Malicious Spread of Misinformation KRR844: Certifying the True Error: Machine Learning in Coq Bryan Wilder, Yevgeniy Vorobeychik with Verified Generalization Guarantees Alexander Bagnall, Gordon Stewart GTEP2735: Solving Large Extensive-Form Games with Strategy Constraints KRR930: TransGate: Knowledge Graph Embedding with Shared Trevor Davis, Kevin Waugh, Michael Bowling Gate Structure Jun Yuan, Neng Gao, Ji Xiang GTEP3316: A Framework for Approval-Based Budgeting Methods KRR1108: Amalgamating Knowledge towards Comprehensive Nimrod Talmon, Piotr Faliszewski Classification Chengchao Shen, Xinchao Wang, Jie Song, Li Sun, Mingli Song GTEP3351: Approximation and Hardness of Shift-Bribery Piotr Faliszewski, Pasin Manurangsi, Krzysztof Sornat KRR1147: Complexity of Abstract Argumentation under a Claim-Centric View GTEP3395: How Similar Are Two Elections? Wolfgang Dvorak, Stefan Woltran Piotr Faliszewski, Piotr Skowron, Arkadii Slinko, Stanisław Szufa, Nimrod Talmon KRR1830: Partial Awareness Joseph Y. Halpern, Evan Piermont GTEP3663: Group Fairness for the Allocation of Indivisible Goods KRR2298: Abstracting Causal Models Vincent Conitzer, Rupert Freeman, Nisarg Shah, Jennifer Wortman Sander Beckers, Joseph Y. Halpern Vaughan KRR2375: Combining Deep Learning and Qualitative Spatial GTEP3671: An Equivalence between Wagering and Fair- Reasoning to Learn Complex Structures from Sparse Examples Division Mechanisms with Noise Rupert Freeman, David M. Pennock, Jennifer Wortman Vaughan Nikhil Krishnaswamy, Scott Friedman, James Pustejovsky

GTEP3783: From Recommendation Systems to Facility KRR2522: Knowledge Refinement via Rule Selection Location Games Phokion G. Kolaitis, Lucian Popa, Kun Qian Omer Ben-Porat, Gregory Goren, Itay Rosenberg, Moshe Tennenholtz KRR2886: Extension Removal in Abstract Argumentation — An GTEP3886: Fair and Efficient Memory Sharing: Confronting Axiomatic Approach Free Riders Ringo Baumann, Gerhard Brewka Eric J. Friedman, Vasilis Gkatzelis, Christos-Alexandros Psomas, Scott Shenker KRR3090: Reasoning over Assumption-Based Argumentation Frameworks via Direct Answer Set Programming Encodings GTEP3999: Random Dictators with a Random Referee: Tuomo Lehtonen, Johannes Peter Wallner, Matti Järvisalo Constant Sample Complexity Mechanisms for Social Choice Brandon Fain, Ashish Goel, Kamesh Munagala, Nina Prabhu KRR3144: Qualitative Spatial Logic over 2D Euclidean Spaces is Not Finitely Axiomatisable GTEP4685: Quasi-Perfect Stackelberg Equilibrium Heshan Du, Natasha Alechina Alberto Marchesi, Gabriele Farina, Christian Kroer, Nicola Gatti, Tuomas Sandholm KRR3218: Argumentation for Explainable Scheduling Kristijonas Cyras, Dimitrios Letsios, Ruth Misener, Francesca Toni Humans and AI (HAI)

HAI3669: CycleEmotionGAN: Emotional Semantic Consistency KRR3616: Model-Based Diagnosis for Cyber-Physical Preserved CycleGAN for Adapting Image Emotions Production Systems Based on Machine Learning and Residual- Sicheng Zhao, Chuang Lin, Pengfei Xu, Sendong Zhao, Yuchen Guo, Ravi Based Diagnosis Models Krishna, Guiguang Ding, Kurt Keutzer Andreas Bunte, Benno Stein, Oliver Niggemann

HAI5717: AI-Sketcher: A Deep Generative Model for Producing KRR3779: SAT-Based Explicit LTLf Satisfiability Checking High-Quality Sketches Jianwen Li, Kristin Y. Rozier, Geguang Pu, Yueling Zhang, Moshe Y. Vardi

Nan Cao, Xin Yan, Yang Shi, Chaoran Chen KRR4478: Recursively Learning Causal Structures Using Knowledge Representation and Reasoning (KRR) Regression-Based Conditional Independence Test Hao Zhang, Shuigeng Zhou, Chuanxu Yan, Jihong Guan, Xin Wang KRR115: Disjunctive Normal Form for Multi-Agent Modal Logics Based on Logical Separability KRR4601: Belief Change and Non-Monotonic Reasoning sans Liangda Fang, Kewen Wang, Zhe Wang, Ximing Wen Compactness Jandson S. Ribeiro, Abhaya Nayak, Renata Wasserman KRR183: Weighted Abstract Dialectical Frameworks through the Lens of Approximation Fixpoint Theory KRR4677: Validation of Growing Knowledge Graphs by Bart Bogaerts Abductive Text Evidences Jianfeng Du, Jeff Z. Pan, Sylvia Wang, Kunxun Qi, Yuming Shen, Yu Deng

KRR4918: A Sequential Set Generation Method for Predicting ML1150: Unified Embedding Alignment with Missing Views Set-Valued Outputs Inferring for Incomplete Multi-View Clustering Tian Gao, Jie Chen, Vijil Chenthamarakshan, Michael Witbrock Jie Wen, Zheng Zhang, Yong Xu, Bob Zhang, Lunke Fei, Hong Liu

KRR5756: Implanting Rational Knowledge into Distributed ML1292: GeniePath: Graph Neural Networks with Adaptive Representation at Morpheme Level Receptive Paths Zi Lin, Yang Liu Ziqi Liu, Chaochao Chen, Longfei Li, Jun Zhou, Xiaolong Li, Le Song, Yuan Qi KRR5901: From Horn-SRIQ to Datalog: A Data-Independent Transformation that Preserves Assertion Entailment ML1320: Tile2Vec: Unsupervised Representation Learning for David Carral, Larry González, Patrick Koopmann Spatially Distributed Data Neal Jean, Sherrie Wang, Anshul Samar, George Azzari, David Lobell, KRR7022: Minimum Intervention Cover of a Causal Graph Stefano Ermon Saravanan Kandasamy, Arnab Bhattacharyya, Vasant G. Honavar ML1369: Robust Metric Learning on Grassmann Manifolds with Multiagent Systems (MAS) Generalization Guarantees Lei Luo, Jie Xu, Cheng Deng, Heng Huang MAS428: TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-Agents ML1395: Virtual-Taobao: Virtualizing Real-World Online Retail Yuexin Ma, Xinge Zhu, Sibo Zhang, Ruigang Yang, Wenping Wang, Environment for Reinforcement Learning Dinesh Manocha Jing-Cheng Shi, Yang Yu, Qing Da, Shi-Yong Chen, An-Xiang Zeng

Machine Learning (ML) ML1450: Temporal Anomaly Detection: Calibrating the

ML74: Transferable Curriculum for Weakly-Supervised Domain Surprise Adaptation Eyal Gutflaish, Aryeh Kontorovich, Sivan Sabato, Ofer Biller, Oded Sofer

Yang Shu, Zhangjie Cao, Mingsheng Long, Jianmin Wang ML1468: The Goldilocks Zone: Towards Better Understanding ML235: A Sharper Generalization Bound for Divide-and- of Neural Network Loss Landscapes Conquer Ridge Regression Stanislav Fort, Adam Scherlis

Shusen Wang ML1496: Knowledge Distillation with Adversarial Samples ML277: Revisiting Spatial-Temporal Similarity: A Deep Supporting Decision Boundary Learning Framework for Traffic Prediction Byeongho Heo, Minsik Lee, Sangdoo Yun, Jin Young Choi

Huaxiu Yao, Xianfeng Tang, Hua Wei, Guanjie Zheng, Zhenhui Li ML1512: Knowledge Transfer via Distillation of Activation ML328: How Does Knowledge of the AUC Constrain the Set of Boundaries Formed by Hidden Neurons Possible Ground-Truth Labelings? Byeongho Heo, Minsik Lee, Sangdoo Yun, Jin Young Choi

Jacob Whitehill ML1553: Fast Incremental SVDD Learning Algorithm with the ML330: Sensitivity Analysis of Deep Neural Networks Gaussian Kernel Hai Shu, Hongtu Zhu Hansi Jiang, Haoyu Wang, Wenhao Hu, Deovrat Kakde, Arin Chaudhuri

ML487: Adversarial Dropout for Recurrent Neural Networks ML1568: Mutigrid Backprojection Super-Resolution and Deep Sungrae Park, Kyungwoo Song, Mingi Ji, Wonsung Lee, Il-Chul Moon Filter Visualization Pablo Navarrete Michelini, Hanwen Liu, Dan Zhu ML779: Sublinear Time Numerical Linear Algebra for Structured Matrices ML1575: Capacity Control of ReLU Neural Networks by Basis- Xiaofei Shi, David P. Woodruff Path Norm Shuxin Zheng, Qi Meng, Huishuai Zhang, Wei Chen, Nenghai Yu, Tie-Yan ML994: Efficient and Effective Incomplete Multi-View Liu Clustering Xinwang Liu, Xinzhong Zhu, Miaomiao Li, Chang Tang, En Zhu, Jianping ML1652: On Fair Cost Sharing Games in Machine Learning Yin, Wen Gao Ievgen Redko, Charlotte Laclau

ML1004: Multi-Dimensional Classification via kNN Feature ML1990: From Zero-Shot Learning to Cold-Start Augmentation Recommendation Bin-Bin Jia, Min-Ling Zhang Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Yang Yang, Zi Huang

ML1031: Spatiotemporal Multi-Graph Convolution Network for ML2013: A Theoretically Guaranteed Deep Optimization Ride-Hailing Demand Forecasting Framework for Robust Compressive Sensing MRI Xu Geng, Yaguang Li, Leye Wang, Lingyu Zhang, Qiang Yang, Jieping Ye, Risheng Liu, Yuxi Zhang, Shichao Cheng, Xin Fan, Zhongxuan Luo Yan Liu ML2303: Trainable Undersampling for Class-Imbalance ML1110: Similarity Learning via Kernel Preserving Embedding Learning Zhao Kang, Yiwei Lu, Yuanzhang Su, Changsheng Li, Zenglin Xu Minlong Peng, Qi Zhang, Xiaoyu Xing, Tao Gui, Xuanjing Huang, Yu-Gang Jiang, Keyu Ding, Zhigang Chen ML1117: Cross-Domain Visual Representations via Unsupervised Graph Alignment ML2344: The SpectACl of Nonconvex Clustering: A Spectral Baoyao Yang, PongChi Yuen Approach to Density-Based Clustering Sibylle Hess, Wouter Duivesteijn, Philipp Honysz, Katharina Morik

ML2345: CNN-Cert: An Efficient Framework for Certifying ML3350: A Powerful Global Test Statistic for Functional Robustness of Convolutional Neural Networks Statistical Inference Akhilan Boopathy, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel Jingwen Zhang, Joseph Ibrahim, Tengfei Li, Hongtu Zhu

ML2374: Predicting Urban Dispersal Events: A Two-Stage ML3427: Interpretation of Neural Networks Is Fragile Framework through Deep Survival Analysis on Mobility Data Amirata Ghorbani, Abubakar Abid, James Zou Amin Vahedian, Xun Zhou, Ling Tong, W. Nick Street, Yanhua Li ML3463: Weisfeiler and Leman Go Neural: Higher-Order Graph ML2458: Eliminating Latent Discrimination: Train Then Mask Neural Networks Soheil Ghili, Ehsan Kazemi, Amin Karbasi Christopher Morris, Martin Ritzert, Matthias Fey, William L. Hamilton, Jan Eric Lenssen, Gaurav Rattan, Martin Grohe ML2579: Robust Anomaly Detection in Videos Using Multilevel Representations ML3625: Deep Metric Learning by Online Soft Mining and Hung Vu, Tu Dinh Nguyen, Trung Le, Wei Luo, Dinh Phung Class-Aware Attention Xinshao Wang, Yang Hua, Elyor Kodirov, Guosheng Hu, Neil M. ML2683: A Distillation Approach to Data Efficient Individual Robertson Treatment Effect Estimation Maggie Makar, Adith Swaminathan, Emre Kiciman ML3692: Which Factorization Machine Modeling Is Better: A Theoretical Answer with Optimal Guarantee ML2749: Learning Adaptive Random Features Ming Lin, Shuang Qiu, Jieping Ye, Xiaomin Song, Qi Qian, Liang Sun, Yanjun Li, Kai Zhang, Jun Wang, Sanjiv Kumar Shenghuo Zhu, Rong Jin

ML2793: Unsupervised Domain Adaptation by Matching ML3752: Explicitly Imposing Constraints in Deep Networks Via Distributions Based on the Maximum Mean Discrepancy via Conditional Gradients Gives Improved Generalization and Unilateral Transformations Faster Convergence Atsutoshi Kumagai, Tomoharu Iwata Sathya N. Ravi, Tuan Dinh, Vishnu Suresh Lokhande, Vikas Singh

ML2813: Joint Domain Alignment and Discriminative Feature ML3875: Random Feature Maps for the Itemset Kernel Learning for Unsupervised Deep Domain Adaptation Kyohei Atarashi, Subhransu Maji, Satoshi Oyama Chao Chen, Zhihong Chen, Boyuan Jiang, Xinyu Jin ML3900: Network Recasting: A Universal Method for Network ML2934: Cogra: Concept-Drift-Aware Stochastic Gradient Architecture Transformation Descent for Time-Series Forecasting Joonsang Yu, Sungbum Kang, Kiyoung Choi Kohei Miyaguchi, Hiroshi Kajino ML4020: Exploiting Local Feature Patterns for Unsupervised ML2973: Improving Domain-Specific Classification by Domain Adaptation Collaborative Learning with Adaptation Networks Jun Wen, Risheng Liu, Nenggan Zheng, Qian Zheng, Zhefeng Gong, Si Wu, Jian Zhong, Wenming Cao, Rui Li, Zhiwen Yu, Hau-San Wong Junsong Yuan

ML3035: Deep Neural Network Quantization via Layer-Wise ML4049: QUOTA: The Quantile Option Architecture for Optimization Using Limited Training Data Reinforcement Learning Shangyu Chen, Wenya Wang, Sinno Jialin Pan Shangtong Zhang, Hengshuai Yao

ML3040: AFS: An Attention-Based Mechanism for Supervised ML4066: Complex Moment-Based Supervised Eigenmap for Feature Selection Dimensionality Reduction Ning Gui, Danni Ge, Ziyin Hu Akira Imakura, Momo Matsuda, Xiucai Ye, Tetsuya Sakurai

ML3088: On-Line Learning of Linear Dynamical Systems: ML4240: Precision-Recall versus Accuracy and the Role of Exponential Forgetting in Kalman Filters Large Data Sets Mark Kozdoba, Jakub Marecek, Tigran Tchrakian, Shie Mannor Brendan Juba, Hai S. Le

ML3154: SCFont: Structure-Guided Chinese Font Generation via ML4315: Large-Scale Heterogeneous Feature Embedding Deep Stacked Networks Xiao Huang, Qingquan Song, Fan Yang, Xia Hu Yue Jiang, Zhouhui Lian, Yingmin Tang, Jianguo Xiao ML4320: The Curse of Concentration in Robust Learning: ML3173: Coreset Stochastic Variance-Reduced Gradient with Evasion and Poisoning Attacks from Concentration of Measure Application to Optimal Margin Distribution Machine Saeed Mahloujifar, Dimitrios I. Diochnos, Mohammad Mahmoody Zhi-Hao Tan, Teng Zhang, Wei Wang ML4374: Covariate Shift Adaptation on Learning from Positive ML3193: Unsupervised Domain Adaptation Based on Source- and Unlabeled Data Guided Discrepancy Tomoya Sakai, Nobuyuki Shimizu Seiichi Kuroki, Nontawat Charoenphakdee, Han Bao, Junya Honda, Issei Sato, Masashi Sugiyama ML4389: ClusterGAN: Latent Space Clustering in Generative Adversarial Networks ML3233: Theoretical Analysis of Label Distribution Learning Sudipto Mukherjee, Himanshu Asnani, Eugene Lin, Sreeram Kannan Jing Wang, Xin Geng ML4404: Biomedical Image Segmentation via Representative ML3255: Hierarchical Classification Based on Label Annotation Distribution Learning Hao Zheng, Lin Yang, Jianxu Chen, Jun Han, Yizhe Zhang, Peixian Liang, Changdong Xu, Xin Geng Zhuo Zhao, Chaoli Wang, Danny Z. Chen

ML4477: Self-Ensembling Attention Networks: Addressing ML5910: Evolutionary Manytasking Optimization Based on Domain Shift for Semantic Segmentation Symbiosis in Biocoenosis Yonghao Xu, Du Bo, Lefei Zhang, Qian Zhang, Guoli Wang, Liangpei Rung-Tzuo Liaw, Chuan-Kang Ting Zhang ML6141: On the Persistence of Clustering Solutions and True ML4483: Approximate Kernel Selection with Strong Number of Clusters in a Dataset Approximate Consistency Amber Srivastava, Mayank Baranwal, Srinivasa Salapaka Lizhong Ding, Yong Liu, Shizhong Liao, Yu Li, Peng Yang, Yijie Pan, Chao Huang, Ling Shao, Xin Gao ML6196: Near-Neighbor Methods in Random Preference Completion ML4495: RecurJac: An Efficient Recursive Algorithm for Ao Liu, Qiong Wu, Zhenming Liu, Lirong Xia Bounding Jacobian Matrix of Neural Networks and Its Applications ML6288: Non-Parametric Transformation Networks for Huan Zhang, Pengchuan Zhang, Cho-Jui Hsieh Learning General Invariances from Data Dipan K. Pal, Marios Savvides ML4557: Devil in the Details: Towards Accurate Single and Multiple Human Parsing ML6296: Guided Dropout Tao Ruan, Ting Liu, Zilong Huang, Yunchao Wei, Shikui Wei, Yao Zhao Rohit Keshari, Richa Singh, Mayank Vatsa

ML4563: Linear Kernel Tests via Empirical Likelihood for High ML6399: Learning Multi-Task Communication with Message Dimensional Data Passing for Sequence Learning Lizhong Ding, Zhi Liu, Yu Li, Shizhong Liao, Yong Liu, Peng Yang, Ge Yu, Pengfei Liu, Jie Fu, Yue Dong, Xipeng Qiu, Jackie Chi Kit Cheung Ling Shao, Xin Gao ML6445: Incomplete Label Multi-Task Deep Learning for ML4583: Dynamic Learning of Sequential Choice Bandit Spatio-Temporal Event Subtype Forecasting Problem under Marketing Fatigue Yuyang Gao, Liang Zhao, Lingfei Wu, Yanfang Ye, Hui Xiong, Chaowei Junyu Cao, Wei Sun Yang

ML4720: X-DMM: Fast and Scalable Model Based Text ML6491: Robust Negative Sampling for Network Embedding Clustering Mohammadreza Armandpour, Patrick Ding, Jianhua Huang, Xia Hu Linwei Li, Liangchen Guo, Zhenying He, Yinan Jing, X. Sean Wang ML6509: Efficient Online Learning for Mapping Kernels on ML4799: Aligning Domain-Specific Distribution and Classifier Linguistic Structures for Cross-Domain Classification from Multiple Sources Giovanni Da San Martino, Alessandro Sperduti, Fabio Aiolli, Alessandro Yongchun Zhu, Fuzhen Zhuang, Deqing Wang Moschitti

ML5218: Multiple Independent Subspace Clusterings ML6544: Learning Triggers for Heterogeneous Treatment Xing Wang, Jun Wang, Carlotta Domeniconi, Guoxian Yu, Guoqiang Xiao, Effects Maozu Guo Christopher Tran, Elena Zheleva

ML5296: An Exponential Tail Bound for the Deleted Estimate ML6594: Non-Asymptotic Uniform Rates of Consistency for k- Karim Abou-Moustafa, Csaba Szepesvari NN Regression Heinrich Jiang ML5474: Composable Modular Reinforcement Learning Christopher Simpkins, Charles Isbell ML6632: Orderly Subspace Clustering Jing Wang, Atsushi Suzuki, Linchuan Xu, Feng Tian, Liang Yang, Kenji ML5579: Efficient and Scalable Multi-Task Regression on Yamanishi Massive Number of Tasks Xiao He, Francesco Alesiani, Ammar Shaker ML6721: Towards Non-Saturating Recurrent Units for Modelling Long-Term Dependencies ML5583: Interactive Attention Transfer Network for Cross- Sarath Chandar, Chinnadhurai Sankar, Eugene Vorontsov, Samira Domain Sentiment Classification Ebrahimi Kahou, Yoshua Bengio Kai Zhang, Hefu Zhang, Qi Liu, Hongke Zhao, Hengshu Zhu, Enhong Chen ML6747: Dimension-Free Error Bounds from Random Projections ML5666: Multi-Task Deep Reinforcement Learning with PopArt Ata Kaban Matteo Hessel, Hubert Soyer, Lasse Espeholt, Wojciech Czarnecki, Simon Schmitt, Hado van Hasselt ML7015: Multi-Fidelity Automatic Hyper-Parameter Tuning via Transfer Series Expansion ML5715: SCNN: A General Distribution Based Statistical Yi-Qi Hu, Yang Yu, Wei-Wei Tu, Qiang Yang, Yuqiang Chen, Wenyuan Convolutional Neural Network with Application to Video Object Dai Detection Tianchen Wang, Jinjun Xiong, Xiaowei Xu, Yiyu Shi ML7117: Network Structure and Transfer Behaviors Embedding via Deep Prediction Model ML5809: Communication-Optimal Distributed Dynamic Graph Xin Sun, Zenghui Song, Junyu Dong, Yongbo Yu, Claudia Plant, Christian Clustering Böhm Chun Jiang Zhu, Tan Zhu, Kam-Yiu Lam, Song Han, Jinbo Bi ML7403: Tensor Decomposition for Multilayer Networks ML5886: A Probabilistic Derivation of LASSO and L12-Norm Clustering Feature Selections Zitai Chen, Chuan Chen, Zibin Zheng, Yi Zhu Di Ming, Chris Ding, Feiping Nie

ML7476: High Dimensional Clustering with r-Nets NLP2007: Response Generation by Context-Aware Prototype Georgia Avarikioti, Alain Ryser, Yuyi Wang, Roger Wattenhofer Editing Yu Wu, Furu Wei, Shaohan Huang, Yunli Wang, Zhoujun Li, Ming Zhou ML7564: Nearest-Neighbour-Induced Isolation Similarity and Its Impact on Density-Based Clustering NLP2012: Explicit Interaction Model towards Text Xiaoyu Qin, Kai Ming Ting, Ye Zhu, Vincent CS Lee Classification Cunxiao Du, Zhaozheng Chen, Fuli Feng, Lei Zhu, Tian Gan, Liqiang Nie ML7577: An Efficient Approach to Informative Feature Extraction from Multimodal Data NLP2409: What Should I Learn First: Introducing LectureBank Lichen Wang, Jiaxiang Wu, Shao-Lun Huang, Lizhong Zheng, Xiangxiang for NLP Education and Prerequisite Chain Learning Xu, Lin Zhang, Junzhou Huang Irene Li, Alexander R. Fabbri, Robert R. Tung, Dragomir R. Radev

ML7833: Accurate and Interpretable Factorization Machines NLP2498: Improving Natural Language Inference Using Liang Lan, Yu Geng External Knowledge in the Science Questions Domain Xiaoyan Wang, Pavan Kapanipathi, Ryan Musa, Mo Yu, Kartik ML7954: Universal Approximation Property and Equivalence of Talamadupula, Ibrahim Abdelaziz, Maria Chang, Achille Fokoue, Bassem Stochastic Computing-Based Neural Networks and Binary Makni, Nicholas Mattei, Michael Witbrock Neural Networks Yanzhi Wang, Zheng Zhan, Liang Zhao, Jian Tang, Siyue Wang, Jiayu Li, NLP2744: Re-Evaluating ADEM: A Deeper Look at Scoring Bo Yuan, Wujie Wen, Xue Lin Dialogue Responses Ananya Sai B, Mithun Das Gupta, Mitesh M. Khapra, Mukundhan ML7996: Parallel Restarted SGD with Faster Convergence and Srinivasan Less Communication: Demystifying Why Model Averaging Works for Deep Learning NLP3093: Data Augmentation for Spoken Language Hao Yu, Sen Yang, Shenghuo Zhu Understanding via Joint Variational Generation Kang Min Yoo, Youhyun Shin, Sang-goo Lee ML8103: Bounding Uncertainty for Active Batch Selection Hanmo Wang, Runwu Zhou, Yi-Dong Shen NLP3205: Hierarchical Encoder with Auxiliary Supervision for Table-to-Text Generation: Learning Better Representation for Natural Language Processing (NLP) Tables Tianyu Liu, Fuli Luo, Qiaolin Xia, Shuming Ma, Baobao Chang, Zhifang NLP142: Leveraging Web Semantic Knowledge in Word Sui Representation Learning Haoyan Liu, Lei Fang, Jian-Guang Lou, Zhoujun Li NLP3207: SAM-Net: Integrating Event-Level and Chain-Level Attentions to Predict What Happens Next NLP149: FAnDa: A Novel Approach to Perform Follow-Up Shangwen Lv, Wanhui Qian, Longtao Huang, Jizhong Han, Songlin Hu Query Analysis Qian Liu, Bei Chen, Jian-Guang Lou, Ge Jin, Dongmei Zhang NLP3210: Title-Guided Encoding for Keyphrase Generation Wang Chen, Yifan Gao, Jiani Zhang, Irwin King, Michael R. Lyu NLP289: Improving Hypernymy Prediction via Taxonomy Enhanced Adversarial Learning NLP3231: Dialogue Generation: From Imitation Learning to Chengyu Wang, Xiaofeng He, Aoying Zhou Inverse Reinforcement Learning Ziming Li, Julia Kiseleva, Maarten de Rijke NLP674: Learning to Embed Sentences Using Attentive Recursive Trees NLP3243: Multi-Labeled Relation Extraction with Attentive Jiaxin Shi, Lei Hou, Juanzi Li, Zhiyuan Liu, Hanwang Zhang Capsule Network Xinsong Zhang, Pengshuai Li, Weijia Jia, Hai Zhao NLP915: Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification NLP3384: A Multi-Agent Communication Framework for Tianyu Gao, Xu Han, Zhiyuan Liu, Maosong Sun Question-Worthy Phrase Extraction and Question Generation Siyuan Wang, Zhongyu Wei, Zhihao Fan, Yang Liu, Xuanjing Huang NLP1126: An Affect-Rich Neural Conversational Model with Biased Attention and Weighted Cross-Entropy Loss NLP3408: Exploring Knowledge Graphs in an Interpretable Peixiang Zhong, Di Wang, Chunyan Miao Composite Approach for Text Entailment Vivian S. Silva, André Freitas, Siegfried Handschuh NLP1157: A Hierarchical Framework for Relation Extraction with Reinforcement Learning NLP3489: Deep Cascade Multi-Task Learning for Slot Filling in Ryuichi Takanobu, Tianyang Zhang, Jiexi Liu, Minlie Huang Online Shopping Assistant Yu Gong, Xusheng Luo, Yu Zhu, Wenwu Ou, Zhao Li, Muhua Zhu, Kenny NLP1200: Zero-Shot Adaptive Transfer for Conversational Q. Zhu, Lu Duan, Xi Chen Language Understanding Sungjin Lee, Rahul Jha NLP3648: COALA: A Neural Coverage-Based Approach for Long Answer Selection with Small Data NLP1484: Gaussian Transformer: A Lightweight Approach for Andreas Rücklé, Nafise Sadat Moosavi, Iryna Gurevych Natural Language Inference Maosheng Guo, Yu Zhang, Ting Liu NLP4052: ParaBank: Monolingual Bitext Generation and Sentential Paraphrasing via Lexically-Constrained Neural NLP1636: LiveBot: Generating Live Video Comments Based on Machine Translation Visual and Textual Contexts J. Edward Hu, Rachel Rudinger, Matt Post, Benjamin Van Durme Shuming Ma, Lei Cui, Damai Dai, Furu Wei, Xu Sun

NLP4175: What If We Simply Swap the Two Text Fragments? A PRS3542: Learning Resource Allocation and Pricing for Cloud Straightforward yet Effective Way to Test the Robustness of Profit Maximization Methods to Confounding Signals in Nature Language Inference Bingqian Du, Chuan Wu, Zhiyi Huang Tasks Haohan Wang, Da Sun, Eric P. Xing PRS4026: Acting and Planning Using Operational Models Sunandita Patra, Malik Ghallab, Dana Nau, Paolo Traverso NLP4246: Exploiting the Ground-Truth: An Adversarial Imitation Based Knowledge Distillation Approach for Event Robotics (ROB)

Detection ROB166: Mirroring without Overimitation: Learning Jian Liu, Yubo Chen, Kang Liu Functionally Equivalent Manipulation Actions

Hangxin Liu, Chi Zhang, Yixin Zhu, Chenfanfu Jiang, Song-Chun Zhu NLP4423: Insufficient Data Can Also Rock! Learning to

Converse Using Smaller Data with Augmentation ROB6894: MotionTransformer: Transferring Neural Inertial Juntao Li, Lisong Qiu, Bo Tang, Dongmin Chen, Dongyan Zhao, Rui Yan Tracking between Domains

Changhao Chen, Yishu Miao, Chris Xiaoxuan Lu, Linhai Xie, Phil NLP5092: A Unified Model for Opinion Target Extraction and Blunsom, Andrew Markham, Niki Trigoni Target Sentiment Prediction Xin Li, Lidong Bing, Piji Li, Wai Lam Vision (VIS)

NLP5120: Unseen Word Representation by Aligning VIS176: Object Detection Based on Region Decomposition and Heterogeneous Lexical Semantic Spaces Assembly Victor Prokhorov, Mohammam Taher Pilehvar, Dimitri Kartsaklis, Seung-Hwan Bae Pietro Lió, Nigel Collier VIS234: Learning Resolution-Invariant Deep Representations NLP5576: GIRNet: Interleaved Multi-Task Recurrent State for Person Re-Identification Sequence Models Yun-Chun Chen, Yu-Jhe Li, Xiaofei Du, Yu-Chiang Frank Wang Divam Gupta, Tanmoy Chakraborty, Soumen Chakrabarti VIS323: Deep Video Frame Interpolation Using Cyclic Frame NLP5658: Plan-and-Write: Towards Better Automatic Generation Storytelling Yu-Lun Liu, Yi-Tung Liao, Yen-Yu Lin, Yung-Yu Chuang Lili Yao, Nanyun Peng, Ralph Weischedel, Kevin Knight, Dongyan Zhao, Rui Yan VIS395: Singe Image Rain Removal with Unpaired Information: A Differentiable Programming Perspective NLP5766: A Neural Network Approach to Verb Phrase Ellipsis Hongyuan Zhu, Xi Peng, Joey Tianyi Zhou, Songfan Yang, Vijay Resolution Chanderasekh, Liyuan Li, Joo-Hwee Lim Wei-Nan Zhang, Yue Zhang, Yuanxing Liu, Donglin Di, Ting Liu VIS403: Unsupervised Meta-Learning of Figure-Ground NLP5846: A Pattern-Based Approach to Recognizing Time Segmentation via Imitating Visual Effects Expressions Ding-Jie Chen, Jui-Ting Chien, Hwann-Tzong Chen, Tyng-Luh Liu Wentao Ding, Guanji Gao, Linfeng Shi, Yuzhong Qu VIS717: Scene Text Recognition from Two-Dimensional NLP5882: A Generalized Idiom Usage Recognition Model Based Perspective on Semantic Compatibility Minghui Liao, Jian Zhang, Zhaoyi Wan, Fengming Xie, Jiajun Liang, Changsheng Liu, Rebecca Hwa Pengyuan Lyu, Cong Yao, Xiang Bai

NLP5972: AutoSense Model for Word Sense Induction VIS786: Energy Confused Adversarial Metric Learning for Zero- Reinald Kim Amplayo, Seung-won Hwang, Min Song Shot Image Retrieval and Clustering Binghui Chen, Weihong Deng NLP6140: Analyzing Compositionality-Sensitivity of NLI Models Yixin Nie, Yicheng Wang, Mohit Bansal VIS1010: Learning to Localize Objects with Noisy Labeled Instances NLP6192: Combining Fact Extraction and Verification with Xiaopeng Zhang, Yang Yang, Jiashi Feng Neural Semantic Matching Networks Yixin Nie, Haonan Chen, Mohit Bansal VIS1020: To Find Where You Talk: Temporal Sentence Localization in Video with Attention Based Location Regression NLP6354: Fast PMI-Based Word Embedding with Efficient Use Yitian Yuan, Tao Mei, Wenwu Zhu of Unobserved Patterns Behrouz Haji Soleimani, Stan Matwin VIS1076: Multi-Scale 3D Convolution Network for Video Based Person Re-Identification NLP6510: Improving Distantly Supervised Relation Extraction Jianing Li, Shiliang Zhang, Tiejun Huang with Neural Noise Converter and Conditional Optimal Selector Shanchan Wu, Kai Fan, Qiong Zhang VIS1121: A Bottom-Up Clustering Approach to Unsupervised Person Re-Identification Planning, Routing, and Scheduling (PRS) Yutian Lin, Xuanyi Dong, Liang Zheng, Yan Yan, Yi Yang

PRS2680: Distribution-Based Semi-Supervised Learning for VIS1128: 3D Object Detection Using Scale Invariant and Feature Activity Recognition Reweighting Networks Hangwei Qian, Sinno Jialin Pan, Chunyan Miao Xin Zhao, Zhe Liu, Ruolan Hu, Kaiqi Huang

VIS1317: Weakly Supervised Scene Parsing with Point-Based VIS2939: MLVCNN: Multi-Loop-View Convolutional Neural Distance Metric Learning Network for 3D Shape Retrieval Rui Qian, Yunchao Wei, Honghui Shi, Jiachen Li, Jiaying Liu, Thomas Jianwen Jiang, Di Bao, Ziqiang Chen, Xibin Zhao, Yue Gao Huang VIS3014: MonoGRNet: A Geometric Reasoning Network for VIS1396: Cycle-SUM: Cycle-Consistent Adversarial LSTM Monocular 3D Object Localization Networks for Unsupervised Video Summarization Zengyi Qin, Jinglu Wang, Yan Lu Li Yuan, Francis EH Tay, Ping Li, Li Zhou, Jiashi Feng VIS3027: DeRPN: Taking a Further Step toward More General VIS1407: Heterogeneous Transfer Learning via Deep Matrix Object Detection Completion with Adversarial Kernel Embedding Lele Xie, Yuliang Liu, Lianwen Jin, Zecheng Xie Haoliang Li, Sinno Jialin Pan, Renjie Wan, Alex C. Kot VIS3404: Temporal Bilinear Networks for Video Action VIS1410: Hierarchical Attention Network for Image Captioning Recognition Weixuan Wang, Zhihong Chen, Haifeng Hu Yanghao Li, Sijie Song, Yuqi Li, Jiaying Liu

VIS1469: Learning to Compose Topic-Aware Mixture of Experts VIS3540: Attentive Temporal Pyramid Network for Dynamic for Zero-Shot Video Captioning Scene Classification Xin Wang, Jiawei Wu, Da Zhang, Yu Su, William Yang Wang Yuanjun Huang, Xianbin Cao, Xiantong Zhen, Jungong Han

VIS1723: Scene Text Detection with Supervised Pyramid VIS4198: Angular Triplet-Center Loss for Multi-View 3D Shape Context Network Retrieval Enze Xie, Yuhang Zang, Shuai Shao, Gang Yu, Cong Yao, Guangyao Li Zhaoqun Li, Cheng Xu, Biao Leng

VIS1748: Gradient Harmonized Single-Stage Detector VIS4561: What and Where the Themes Dominate in Image Buyu Li, Yu Liu, Xiaogang Wang Xinyu Xiao, Lingfeng Wang, Shiming Xiang, Chunhong Pan

VIS1993: Segregated Temporal Assembly Recurrent Networks VIS5461: Deep Embedding Features for Salient Object for Weakly Supervised Multiple Action Detection Detection Yunlu Xu, Chengwei Zhang, Zhanzhan Cheng, Jianwen Xie, Yi Niu, Yunzhi Zhuge, Yu Zeng, Huchuan Lu Shiliang Pu, Fei Wu VIS6098: Large-Scale Visual Relationship Understanding VIS2025: M2Det: A Single-Shot Object Detector Based on Multi- Ji Zhang, Yannis Kalantidis, Marcus Rohrbach, Manohar Paluri, Level Feature Pyramid Network Ahmed Elgammal, Mohamed Elhoseiny Qijie Zhao, Tao Sheng, Yongtao Wang, Zhi Tang, Ying Chen, Ling Cai, Haibin Ling Doctoral Consortium

VIS2080: Discriminative Feature Learning for Unsupervised DC127: Attention Guided Imitation Learning and Video Summarization Reinforcement Learning Yunjae Jung, Donghyeon Cho, Dahun Kim, Sanghyun Woo, In So Kweon Ruohan Zhang

VIS2087: View Inter-Prediction GAN: Unsupervised DC130: Reinforcement Learning for Improved Low Resource Representation Learning for 3D Shapes by Learning Global Dialogue Systems Shape Memories to Support Local View Predictions Ana Valeria Gonzalez-Garduño Zhizhong Han, Mingyang Shang, Yu-Shen Liu, Matthias Zwicker DC133: Multi-Agent Coordination under Uncertain VIS2101: MeshNet: Mesh Neural Network for 3D Shape Communication Representation Nikhil Bhargava Yutong Feng, Yifan Feng, Haoxuan You, Xibin Zhao, Yue Gao DC135: Numerical Optimization to AI, and Back VIS2135: Cousin Network Guided Sketch Recognition via Latent Sathya N. Ravi Attribute Warehouse Kaihao Zhang, Wenhan Luo, Lin Ma, Hongdong Li DC140: Adaptive Modeling for Risk-Aware Decision Making Sandhya Saisubramanian VIS2277: Temporal Deformable Convolutional Encoder- Decoder Networks for Video Captioning DC142: Multi-View Learning from Disparate Sources for Jingwen Chen, Yingwei Pan, Yehao Li, Ting Yao, Hongyang Chao, Tao Poverty Mapping Mei Neeti Pokhriyal

VIS2278: Visual-Semantic Graph Reasoning for Pedestrian DC154: Goal Recognition Design with Stochastic Agent Action Attribute Recognition Outcomes Qiaozhe Li, Xin Zhao, Ran He, Kaiqi Huang Christabel Wayllace

VIS2649: Sparse Adversarial Perturbations for Videos DC155: Expressive Real-Time Intersection Scheduling Xingxing Wei, Jun Zhu, Sha Yuan, Hang Su Rick Goldstein

VIS2789: Show, Attend and Read: A Simple and Strong Baseline DC159: Counterfactual Reasoning in Observational Studies for Irregular Text Recognition Negar Hassanpour

Hui Li, Peng Wang, Chunhua Shen, Guyu Zhang DC160: Imitation Learning from Observation Faraz Torabi

DC164: Adaptive Planning with Evidence Based Prediction for SA211: Mind Your Language: Abuse and Offense Detection for Improved Fluency in Routine Human-Robot Collaborative Code-Switched Languages Tasks Raghav Kapoor, Yaman Kumar, Kshitij Rajput, Rajiv Ratn Shah, Christopher K. Fourie Ponnurangam Kumaraguru, Roger Zimmermann

DC166: Multi-Agent Pathfinding in Complex Domains SA213: Towards to Reasonable Decision Basis in Automatic Thayne T. Walker Bone X-ray Image Classification: A Weakly-Supervised Approach DC168: A Theory of State Abstraction for Reinforcement Jianjie Lu, Kai-Yu Tong Learning David Abel SA214: Binary Classifier Inspired by Quantum Theory Prayag Tiwari, Massimo Melucci DC177: Verifiable and Interpretable Reinforcement Learning through Program Synthesis SA217: A Meta-Learning Approach for Custom Model Training Abhinav Verma Amir Erfan Eshratifar, Mohammad Saeed Abrishami, David Eigen, Massoud Pedram DC179: Parameterized Heuristics for Incomplete Weighted CSPs SA223: Manifold Distance-Based Over-Sampling Technique for Atena M Tabakhi Class Imbalance Learning Lingkai Yang, Yinan Guo, Jian Cheng DC184: Learning Generalized Temporal Abstractions Across Both Action and Perception SA226: Robust Facial Landmark Localization Based on Two- Khimya Khetarpal Stage Cascaded Pose Regression Ziye Tong, Junwei Zhou, Yanchao Yang, Lee-Ming Cheng DC187: Robust Graph Covering with an Application to Suicide Prevention SA228: Heterogeneous Attributed Network Embedding with Aida Rahmattalabi Graph Convolutional Networks Yueyang Wang, Ziheng Duan, Binbing Liao, Fei Wu, Yueting Zhuang DC190: Using Automated Agents to Teach Negotiation Emmanuel Johnson SA230: Learning Flexible Latent Representations via Encapsulated Variational Encoders EAAI-19 Wenjun Bai, Changqin Quan, Zhi-Wei Luo

EAAI16: Lightning Talk: Artificial Intelligence Competencies for SA231: Dynamically Identifying Deep Multimodal Features for Data Science Undergraduate Curricula Image Privacy Prediction Andrea Danyluk, Scott Buck Ashwini Tonge, Cornelia Caragea

EAAI55: Lightning Talk: Khan Academy: A Social Networking SA234: Parameterized Heuristics for Incomplete Weighted and Community Q&A Perspective CSPs Sneha Mondal, Akshay Gugnani, Renuka Sindhgatta Atena M. Tabekhi

Student Abstracts SA236: A Feasibility Test on Preventing PRMDs Based on Deep Learning SA31: Improving Full-Body Pose Estimation from a Small So-Hyun Park, Sun-Young Ihm, Aziz Nasridinov, Young-Ho Park Sensor Set Using Artificial Neural Networks and a Kalman Filter Frank J. Wouda, Matteo Giuberti, Giovanni Bellusci, Bert-Jan F. van SA254: An Imperfect Algorithm for Coalition Structure Beijnum, Peter H. Veltink Generation SA77: Cross-Domain Recommendation via Coupled Narayan Changder, Samir Aknine, Animesh Dutta

Factorization Machines SA259: Building Human-Machine Trust via Interpretability Lile Li, Quan Do, Wei Liu Umang Bhatt, Pradeep Ravikumar, José M. F. Moura

SA143: Jointly Multiple Hash Learning SA265: Efficient Neutrino Oscillation Parameter Inference with Xingbo Liu, Xiushan Nie, Yingxin Wang, Yilong Yin Gaussian Process SA150: Location-Based End-to-End Speech Recognition with Lingge Li, Nitish Nayak, Jianming Bian, Pierre Baldi

Multiple Language Models SA268: Dynamic Vehicle Traffic Control Using Deep Zhijie Lin, Kaiyang Lin, Shiling Chen, Linlin Li, Zhou Zhao Reinforcement Learning in Automated Material Handling SA195: Higher-Order Multi-Layer Community Detection System Ling Huang, Chang-Dong Wang, Hong-Yang Chao Younkook Kang, Sungwon Lyu, Jeeyung Kim, Bongjoon Park, Sungzoon Cho SA209: Deep Reinforcement Learning via Past-Success Directed Exploration SA272: Implementation of Boolean AND and OR Logic Gates Xiaoming Liu, Zhixiong Xu, Lei Cao, Xiliang Chen, Kai Kang with Biologically Reasonable Time Constants in Spiking Neural Networks SA210: Emergency Department Online Patient-Caregiver Lakshay Sahni, Debasrita Chakraborty, Ashish Ghosh Scheduling Hanan Rosemarin, Ariel Rosenfeld, Sarit Kraus SA273: An SVM-Based Framework for Long-Term Learning Systems Diana Benavides-Prado

SA279: Learning Document Embeddings with Crossword Prediction Junyu Luo, Min Yang, Ying Shen, Qiang Qu, Haixia Chai

SA280: A Multi-Task Learning Framework for Abstractive Text Summarization Yao Lu, Linqing Liu, Zhile Jiang, Min Yang, Randy Goebel

SA283: AVS-Net: Automatic Visual Surveillance Using Relation Network Sein Jang, Young-Ho Park, Aziz Nasridinov

SA288: SAX Breakpoints for Random Forest Based Real-Time Contrast Control Chart In-Seok Lee, Jun-Geol Baek

SA293: A Multi-Task Learning Approach for Answer Selection: A Study and a Chinese Law Dataset Wenyu Du, Baocheng Li, Min Yang, Qiang Qu, Ying Shen

SA295: Sequence to Sequence Learning for Query Expansion Salah Zaiem, Fatiha Sadat

SA383: On the Role of Syntactic Graph Convolutions for Identifying and Classifying Argument Components Gaku Morio, Katsuhide Fujita

Demos

DEMO281: DBA: Dynamic Multi-Armed Bandit Algorithm Sadegh Nobari

DEMO302: Temporal Video Analyzer (TVAN): Efficient Temporal Video Analysis for Robust Video Description and Search Daniel Rotman, Dror Porat, Yevgeny Burshtein, Udi Barzelay

DEMO368: Global Remote Operation of Intelligent Space Robot Assistants Daniel Leidner, Peter Schmaus, Florian Schmidt, Benedikt Pleintinger, Ralph Bayer, Adrian S. Bauer, Thomas Krueger, Neal Y. Lii

DEMO376: The Rensselaer Mandarin Project - A Cognitive and Immersive Language Learning Environment David Allen, Rahul R. Divekar, Jaimie Drozdal, Lilit Balagyozyan, Shuyue Zheng, Ziyi Song, Huang Zou, Jeramey Tyler, Xiangyang Mou, Rui Zhao, Helen Zhou, Jianling Yue, Jeffrey O. Kephart, Hui Su

DEMO433: Academic Reader: An Interactive Question Answering System on Academic Literatures Yining Hong, Jialu Wang, Yuting Jia, Weinan Zhang, Xinbing Wang

Wednesday, January 30 AIW4912: Meimei: An Efficient Probabilistic Approach for 6:30 – 8:30 PM Semantically Annotating Tables Kunihiro Takeoka, Masafumi Oyamada, Shinji Nakadai, Takeshi Okadome AI for Social Impact (AISI)

AISI1919: Selecting Compliant Agents for Opt-In Micro-Tolling AIW4947: TableSense: Spreadsheet Table Detection with (Special Track) Convolutional Neural Networks Josiah P. Hanna, Guni Sharon, Stephan D. Boyles, Peter Stone Haoyu Dong, Shijie Liu, Shi Han, Zhouyu Fu, Dongmei Zhang

AISI3795: Violence Rating Prediction from Movie Scripts AIW5002: Entity Alignment between Knowledge Graphs Using (Special Track) Attribute Embeddings Victor R. Martinez Palacios, Krishna Somandepalli, Karan Singla, Anil Bayu Distiawan Trisedya, Jianzhong Qi, Rui Zhang Ramakrishna, Yalda T. Uhls, Shrikanth Narayanan AIW5084: Community Detection in Social Networks AISI4115: Image Aesthetic Assessment Assisted by Attributes Considering Topic Correlations through Adversarial Learning Yingkui Wang, Di Jin, Katarzyna Musial, Jianwu Dang Bowen Pan, Shangfei Wang, Qisheng Jiang AIW5596: Improving One-Class Collaborative Filtering via AISI4250: DeepETA: A Spatial-Temporal Sequential Neural Ranking-Based Implicit Regularizer Network Model for Estimating Time of Arrival in Package Jin Chen, Defu Lian, Kai Zheng Delivery System Fan Wu, Lixia Wu AIW5921: Mining Entity Synonyms with Efficient Neural Set Generation AISI4591: Gated Residual Recurrent Graph Neural Networks Jiaming Shen, Ruiliang Lyu, Xiang Ren, Michelle Vanni, Brian Sadler, for Traffic Prediction Jiawei Han

Cen Chen, Kenli Li, Sin G. Teo, Xiaofeng Zou, Kang Wang, Wang AIW6198: Multi-Perspective Relevance Matching with Jie, Zeng Zeng Hierarchical ConvNets for Social Media Search AISI4966: Evolutionarily Learning Multi-Aspect Interactions Jinfeng Rao, Wei Yang, Yuhao Zhang, Ferhan Ture, Jimmy Lin and Influences from Network Structure and Node Content AIW6406: Triple Classification Using Regions and Fine-Grained Songlei Jian, Liang Hu, Longbing Cao, Kai Lu, Hang Gao Entity Typing AISI5020: A Neural Multi-Task Learning Framework to Jointly Tiansi Dong, Zhigang Wang, Juanzi Li, Christian Bauckhage, Armin B. Cremers Model Medical Named Entity Recognition and Normalization

Sendong Zhao, Ting Liu, Sicheng Zhao, Fei Wang AIW6494: SNR: Sub-Network Routing for Flexible Parameter

AISI5560: Bayesian Fairness Sharing in Multi-Task Learning Jiaqi Ma, Zhe Zhao, Jilin Chen, Ang Li, Lichan Hong, Ed Chi Christos Dimitrakakis, Yang Liu, David C. Parkes, Goran Radanovic

AISI6007: Allocating Interventions Based on Predicted AIW6719: DeepTileBars: Visualizing Term Distribution for Outcomes: A Case Study on Homelessness Services (Special Neural Information Retrieval Zhiwen Tang, Grace Hui Yang Track)

Amanda Kube, Sanmay Das, Patrick J. Fowler AIW6742: Learning from Web Data Using Adversarial

AISI6224: Resisting Adversarial Attacks Using Gaussian Discriminative Neural Networks for Fine-Grained Classification Xiaoxiao Sun, Liyi Chen, Jufeng Yang Mixture Variational Autoencoders

Partha Ghosh, Arpan Losalka, Michael J. Black AIW6798: Text Assisted Insight Ranking Using Context-Aware

AISI7233: Multi³Net: Segmenting Flooded Buildings via Fusion Memory Network Qi Zeng, Liangchen Luo, Wenhao Huang, Yang Tang of Multiresolution, Multisensor, and Multitemporal Satellite

Imagery (Special Track) AIW7005: VistaNet: Visual Aspect Attention Network for Tim G. J. Rudner, Marc Rußwurm, Jakub Fil, Ramona Pelich, Benjamin Multimodal Sentiment Analysis Bischke, Veronika Kopackova, Piotr Bilinski Quac-Tuan Truong, Hady W. Lauw

AI and the Web (AIW) AIW7028: Exploiting Background Knowledge in Compact AIW4737: Personalized Question Routing via Heterogeneous Answer Generation for Why-Questions Network Embedding Ryu Lida, Canasai Kruengkrai, Ryo Ishida, Kentaro Torisawa, Jong-Hoon Zeyu Li, Jyun-Yu Jiang, Yizhou Sun, Wei Wang Oh, Julien Kloetzer

AIW4747: Coupled CycleGAN: Unsupervised Hashing Network AIW7085: Anchors Bring Ease: An Embarrassingly Simple for Cross-Modal Retrieval Approach to Partial Multi-View Clustering Chao Li, Cheng Deng, Lei Wang, De Xie, Xianglong Liu Jun Guo, Jiahui Ye

AIW4773: Surveys without Questions: A Reinforcement AIW7122: Robust Online Matching with User Arrival Learning Approach Distribution Drift Atanu R. Sinha, Deepali Jain, Nikhil Sheoran, Sopan Khosla, Reshmi Yu-Hang Zhou, Chen Liang, Nan Li, Cheng Yang, Shenghuo Zhu, Rong Jin Sasidharan

AIW7261: Data Augmentation Based on Adversarial APP5898: On Strength Adjustment for MCTS-Based Programs Autoencoder Handling Imbalance for Learning to Rank I-Chen Wu, Ti-Rong Wu, An-Jen Liu, Hung Guei, Tinghan Wei Qian Yu, Wai Lam APP6001: PerformanceNet: Score-to-Audio Music Generation AIW7635: Session-Based Recommendation with Graph Neural with Multi-Band Convolutional Residual Network Networks Bryan Wang, Yi-Hsuan Yang Shu Wu, Yuyuan Tang, Yanqiao Zhu, Liang Wang, Xing Xie, Tieniu Tan APP6090: DeepFuzz: Automatic Generation of Syntax Valid C AIW8023: Hierarchical Reinforcement Learning for Course Programs for Fuzz Testing Recommendation in MOOCs Xiao Liu, Xiaoting Li, Rupesh Prajapati, Dinghao Wu Jing Zhang, Bowen Hao, Bo Chen, Cuiping Li, Hong Chen, Jimeng Sun APP6525: SAFE: A Neural Survival Analysis Model for Fraud Applications (APP) Early Detection Panpan Zheng, Shuhan Yuan, Xintao Wu APP568: Adversarial Learning for Weakly-Supervised Social Network Alignment APP6536: One-Class Adversarial Nets for Fraud Detection Chaozhuo Li, Senzhang Wang, Yukun Wang, Philip Yu, Yanbo Liang, Yun Panpan Zheng, Shuhan Yuan, Xintao Wu, Jun Li, Aidong Lu Liu, Zhoujun Li APP6975: AffinityNet: Semi-Supervised Few-Shot Learning for APP2259: Play As You Like: Timbre-Enhanced Multi-Modal Disease Type Prediction Music Style Transfer Tianle Ma, Aidong Zhang Chien-Yu Lu, Min-Xin Xue, Chia-Che Chang, Che-Rung Lee, Li Su APP7499: Learning Phenotypes and Dynamic Patient APP2784: Difficulty-Aware Attention Network with Confidence Representations via RNN Regularized Collective Non-Negative Learning for Medical Image Segmentation Tensor Factorization Dong Nie, Li Wang, Lei Xiang, Sihang Zhou, Ehsan Adeli, Dinggang Shen Kejing Yin, Dong Qian, William K. Cheung, Benjamin C. M. Fung, Jonathan Poon APP3401: Exploiting Sentence Embedding for Medical Question Answering APP7721: Learning Heterogeneous Spatial-Temporal Yu Hao, Xien Liu, Ji Wu, Ping Lv Representation for Bike-Sharing Demand Prediction Youru Li, Zhenfeng Zhu, Deqiang Kong, Meixiang Xu, Yao Zhao APP3497: Building Causal Graphs from Medical Literature and Electronic Medical Records APP8049: Region-Based Message Exploration over Spatio- Galia Nordon, Gideon Koren, Varda Shalev, Benny Kimelfeld, Uri Shalit, Temporal Data Streams Kira Radinsky Lisi Chen, Shuo Shang

APP3706: Beyond Speech: Generalizing D-Vectors for Biometric Constraint Satisfaction and Optimization (CSO) Verification Jacob Baldwin, Ryan Burnham, Andrew Meyer, Robert Dora, Robert CSO2645: Asynchronous Delay-Aware Accelerated Proximal Wright Coordinate Descent for Nonconvex Nonsmooth Problems Ehsan Kazemi, Liqiang Wang APP3904: Dynamic Spatial-Temporal Graph Convolutional Neural Networks for Traffic Forecasting CSO2699: A SAT+CAS Approach to Finding Good Matrices: New Zulong Diao, Xin Wang, Dafang Zhang, Yingru Liu, Kun Xie, Shaoyao He Examples and Counterexamples Curtis Bright, Dragomir Z. Djokovic, Ilias Kotsireas, Vijay Ganesh APP4736: Hierarchical Macro Strategy Model for MOBA Game AI CSO3633: Generalized Batch Normalization: Towards Bin Wu Accelerating Deep Neural Networks Xiaoyong Yuan, Zheng Feng, Matthew Norton, Xiaolin Li APP5331: SEGAN: Structure-Enhanced Generative Adversarial Network for Compressed Sensing MRI Reconstruction CSO3782: Bayesian Functional Optimisation with Shape Prior Zhongnian Li, Tao Zhang, Peng Wan, Daoqiang Zhang Pratibha Vellanki, Santu Rana, Sunil Gupta, David Rubin de Celis Leal, Alessandra Sutti, Murray Height, Svetha Venkatesh APP5442: Private Model Compression via Knowledge Distillation CSO3823: A Recursive Algorithm for Projected Model Counting Ji Wang, Weidong Bao, Lichao Sun, Xiaomin Zhu, Bokai Cao, Philip S. Yu Jean-Marie Lagniez, Pierre Marquis

APP5624: DeepSTN+: Context-Aware Spatial-Temporal Neural CSO3824: Algorithms for Average Regret Minimization Network for Crowd Flow Prediction in Metropolis Sabine Storandt, Stefan Funke Ziqian Lin, Jie Feng, Ziyang Lu, Yong Li, Depeng Jin CSO4162: Asynchronous Proximal Stochastic Gradient APP5676: Exploiting the Contagious Effect for Employee Algorithm for Composition Optimization Problems Turnover Prediction Pengfei Wang, Risheng Liu, Nenggan Zheng, Zhefeng Gong Mingfei Teng, Hengshu Zhu, Chuanren Liu, Chen Zhu, Hui Xiong CSO4208: Automatic Construction of Parallel Portfolios via APP5893: NeVAE: A Deep Generative Model for Molecular Explicit Instance Grouping Graphs Shengcai Liu, Ke Tang, Xin Yao Bidisha Samanta, Abir De, Gourhari Jana, Pratim Kumar Chattaraj, Niloy Ganguly, Manuel Gomez Rodriguez CSO4542: Model-Based Diagnosis of Hybrid Systems Using Satisfiability Modulo Theory Alexander Diedrich, Alexander Maier, Oliver Niggemann

CSO4578: Separator-Based Pruned Dynamic Programming for GTEP1939: A Unified Approach to Online Matching with Steiner Tree Conflict-Aware Constraints Yoichi Iwata, Takuto Shigemura Pan Xu, Yexuan Shi, Hao Cheng, John Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Yongxin Tong, Leonidas CSO5225: Solving Integer Quadratic Programming via Explicit Tsepenekas and Structural Restrictions Eduard Eiben, Robert Ganian, Dusan Knop, Sebastian Ordyniak GTEP3050: On the Distortion Value of the Elections with Abstention CSO5482: Adaptive Proximal Average Based Variance Reducing Mohammad Ghodsi, Mohammad Latifian, Masoud Seddighin Stochastic Methods for Optimization with Composite Regularization GTEP3107: Computing the Yolk in Spatial Voting Games Jingchang Liu, Linli Xu, Junliang Guo, Xin Sheng without Computing Median Lines Joachim Gudmundsson, Sampson Wong CSO5833: A Nonconvex Projection Method for Robust PCA Aritra Dutta, Filip Hanzely, Peter Richtarik GTEP3417: Learning Optimal Strategies to Commit To Binghui Peng, Weiran Shen, Pingzhong Tang, Song Zuo CSO6329: A PSPACE Subclass of Dependency Quantified Boolean Formulas and Its Effective Solving GTEP3483: Preference-Aware Task Assignment in On-Demand Christoph Scholl, Jie-Hong Roland Jiang, Ralf Wimmer, Aile Ge-Ernst Taxi Dispatching: An Online Stable Matching Approach Boming Zhao, Pan Xu, Yexuan Shi, Yongxin Tong, Zimu Zhou, Yuxiang CSO6365: Learning Optimal Classification Trees Using a Binary Zeng Linear Program Formulation Sicco Verwer, Yingqian Zhang GTEP3717: Mechanism Design for Multi-Type Housing Markets with Acceptable Bundles CSO6595: Constraint-Based Sequential Pattern Mining with Sujoy Sikdar, Sibel Adali, Lirong Xia Decision Diagrams Amin Hosseininasab, Willem-Jan van Hoeve, Andre A. Cire GTEP3805: "Reverse Gerrymandering:" Manipulation in Multi- Group Decision Making CSO6600: Abduction-Based Explanations for Machine Learning Omer Lev, Yoad Lewenberg Models Alexey Ignatiev, Nina Narodytska, Joao Marques-Silva GTEP4400: Unknown Agents in Friends Oriented Hedonic Games: Stability and Complexity CSO6669: Concurrency Debugging with MaxSMT Nathanaël Barrot, Kazunori Ota, Yuko Sakurai, Makoto Yokoo Miguel Terra-Neves, Nuno Machado, Ines Lynce, Vasco Manquinho GTEP4430: Approximate Inference of Outcomes in Probabilistic CSO6708: Learning Optimal and Fair Decision Trees for Non- Elections Discriminative Decision-Making Batya Kenig, Benny Kimelfeld Sina Aghaei, Mohammad Javad Azizi, Phebe Vayanos GTEP4853: On the Complexity of the Inverse Semivalue CSO6781: On Geometric Alignment in Low Doubling Dimension Problem for Weighted Voting Games Hu Ding, Mingquan Ye Ilias Diakonikolas, Chrystalla Pavlou

CSO7225: Low-Rank Semidefinite Programming for the GTEP4898: Walrasian Dynamics in Multi-Unit Markets MAX2SAT Problem Simina Branzei, Aris Filos-Ratsikas Po-Wei Wang, J. Zico Kolter GTEP4907: Partial Verification as a Substitute for Money CSO7860: Revisiting Projection-Free Optimization for Strongly Sofia Ceppi, Ian Kash, Rafael Frongillo Convex Constraint Sets Jarrid Rector-Brooks, Jun-Kun Wang, Barzan Mozafari GTEP5312: Optimal Dynamic Auctions are Virtual Welfare Maximizers Game Playing and Interactive Entertainment (GPIE) Vahab Mirrokni, Renato Paes Leme, Pingzhong Tang, Song Zuo

GPIE721: 3D Face Synthesis Driven by Personality Impression GTEP5671: Cooperation Enforcement and Collusion Resistance Yining Lang, Wei Liang, Yujia Wang, Lap-Fai Yu in Repeated Public Goods Games Kai Li, Dong Hao GPIE1127: Tackling Sparse Rewards in Real-Time Games with Statistical Forward Planning Methods GTEP5679: On the Inducibility of Stackelberg Equilibrium in Raluca D. Gaina, Simon M. Lucas, Diego Perez-Liebana Security Games Qingyu Guo, Jiarui Gan, Fei Fang, Long Tran-Thanh, Milind Tambe, Bo Game Theory and Economic Paradigms (GTEP) An

GTEP1312: Balancing Relevance and Diversity in Online GTEP5978: Multi-Unit Bilateral Trade Bipartite Matching via Submodularity Matthias Gerstgrasser, Paul W. Goldberg, Bart de Keijzer, Philip Lazos, John P. Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Alexander Skopalik Pan Xu GTEP6095: You Get What You Share: Incentives for a Sharing GTEP1504: Randomized Wagering Mechanisms Economy Yiling Chen, Yang Liu, Juntao Wang Sreenivas Gollapudi, Kostas Kollias, Debmalya Panigrahi

GTEP1604: When Do Envy-Free Allocations Exist? Pasin Manurangsi, Warut Suksompong

GTEP6403: Learning Deviation Payoffs in Simulation-Based HSO3975: Heuristic Search Algorithm for Dimensionality Games Reduction Optimally Combining Feature Selection and Feature Samuel Sokota, Caleb Ho, Bryce Wiedenbeck Extraction Baokun He, Swair Shah, Crystal Maung, Gordon Arnold, Guihong Wan, GTEP6725: An Improved Quasi-Polynomial Algorithm for Haim Schweitzer Approximate Well-Supported Nash Equilibria Michail Fasoulakis, Vangelis Markakis HSO4454: Pareto Optimization for Subset Selection with Dynamic Cost Constraints GTEP7591: Poll-Confident Voters in Iterative Voting Vahid Roostapour, Aneta Neumann, Frank Neumann, Tobias Friedrich Anaëlle Wilczynski HSO4632: Stepping Stones to Inductive Synthesis of Low-Level Human-AI Collaboration (HAC) Looping Programs Christopher D. Rosin HAC317: Augmenting Markov Decision Processes with Advising Loïs Vanhée, Laurent Jeanpierre, Abdel-Illah Mouaddib HSO6617: An Improved Generic Bet-and-Run Strategy with

Performance Prediction for Stochastic Local Search HAC1030: One-Network Adversarial Fairness Thomas Weise, Zijun Wu, Markus Wagner Tameem Adel, Isabel Valera, Zoubin Ghahramani, Adrian Weller

HSO6881: Evolving Solutions to Community-Structured HAC1226: Task Transfer by Preference-Based Cost Learning Satisfiability Formulas Mingxuan Jing, Xiaojian Ma, Wenbing Huang, Fuchun Sun, Huaping Liu Frank Neumann, Andrew M. Sutton

HAC1734: Verifying Robustness of Gradient Boosted Models Gil Einziger, Maayan Goldstein, Yaniv Sa'ar, Itai Segall Knowledge Representation and Reasoning (KRR)

KRR231: Blameworthiness in Strategic Games HAC2416: A Unified Framework for Planning in Adversarial Pavel Naumov, Jia Tao and Cooperative Environments Anagha Kulkarni, Siddharth Srivastava, Subbarao Kambhampati KRR1158: Modular Materialisation of Datalog Programs Pan Hu, Boris Motik, Ian Horrocks HAC3237: Human-in-the-Loop Feature Selection Alvaro Henrique Chaim Correia, Freddy Lecue KRR1207: ABox Abduction via Forgetting in ALC Warren Del-Pinto, Renate A. Schmidt HAC4293: Counterfactual Randomization: Rescuing Experimental Studies from Obscured Confounding KRR1304: Induction of Non-Monotonic Logic Programs to Andrew Forney, Elias Bareinboim Explain Boosted Tree Models Using LIME Farhad Shakerin, Gopal Gupta Humans and AI (HAI) KRR4595: Querying Attributed DL-Lite Ontologies Using HAI134: Be Inaccurate but Don’t Be Indecisive: How Error Provenance Semirings Distribution Can Affect User Experience Camille Bourgaux, Ana Ozaki Rafael R. Padovani, Lucas N. Ferreira, Levi H. S. Lelis

Multiagent Systems (MAS) HAI3632: Deep Transformation Method for Discriminant Analysis of Multi-Channel Resting State fMRI MAS1852: Verification of RNN-Based Neural Agent- Abhay M S Aradhya, Aditya Joglekar, Sundaram Suresh, Mahardhika Environment Systems Pratama Michael E. Akintunde, Andreea Kevorchian, Alessio Lomuscio, Edoardo Pirovano Heuristic Search and Optimization (HSO) MAS1946: A Generic Approach to Accelerating Belief HSO135: Evolving Action Abstractions for Real-Time Planning Propagation Based Incomplete Algorithms for DCOPs via a in Extensive-Form Games Branch-and-Bound Technique Julian R. H. Mariño, Rubens O. Moraes, Claudio Toledo, Levi H. S. Lelis Ziyu Chen, Xingqiong Jiang, Yanchen Deng, Dingding Chen, Zhongshi He

HSO1109: Bounded Suboptimal Search with Learned Heuristics MAS3877: Symmetry-Breaking Constraints for Grid-Based for Multi-Agent Systems Multi-Agent Path Finding Markus Spies, Marco Todescato, Hannes Becker, Patrick Kesper, Nicolai Jiaoyang Li, Daniel Harabor, Peter J. Stuckey, Hang Ma, Sven Koenig Waniek, Meng Guo

HSO1437: Real-Time Planning as Decision-Making under MAS6498: Bayesian Execution Skill Estimation Christopher Archibald, Delma Nieves-Rivera Uncertainty

Andrew Mitchell, Wheeler Ruml, Fabian Spaniol, Joerg Hoffmann, MAS6736: IPOMDP-Net: A Deep Neural Network for Partially Marek Petrik Observable Multi-Agent Planning Using Interactive POMDPs HSO3288: Greedy Maximization of Functions with Bounded Yanlin Han, Piotr Gmytrasiewicz

Curvature under Partition Matroid Constraints MAS6839: Large Scale Learning of Agent Rationality in Two- Tobias Friedrich, Andreas Göbel, Frank Neumann, Francesco Quinzan, Ralf Rothenberger Player Zero-Sum Games Chun Kai Ling, Fei Fang, J. Zico Kolter

MAS7418: Successor Features Based Multi-Agent RL for Event- Based Decentralized MDPs Tarun Gupta, Akshat Kumar, Praveen Paruchuri

Machine Learning (ML) ML2371: Unsupervised Learning with Contrastive Latent Variable Models ML246: Single-Label Multi-Class Image Classification by Deep Kristen A. Severson, Soumya Ghosh, Kenney Ng Logistic Regression Qi Dong, Xiatian Zhu, Shaogang Gong ML2433: State-Augmentation Transformations for Risk- Sensitive Reinforcement Learning ML335: Non-Compensatory Psychological Models for Shuai Ma, Jia Yuan Yu Recommender Systems Chen Lin, Xiaolin Shen, Si Chen, Muhua Zhu, Yanghua Xiao ML2485: SepNE: Bringing Separability to Network Embedding Ziyao Li, Liang Zhang, Guojie Song ML410: MEAL: Multi-Model Ensemble via Adversarial Learning Zhiqiang Shen, Zhankui He, Xiangyang Xue ML2614: Tensorial Change Analysis Using Probabilistic Tensor Regression ML518: Adaptive Sparse Confidence-Weighted Learning for Tsuyoshi Ide Online Feature Selection Yanbin Liu, Yan Yan, Ling Chen, Yahong Han, Yi Yang ML2841: Compressing Recurrent Neural Networks with Tensor Ring for Action Recognization ML793: Interaction-Aware Factorization Machines for Yu Pan, Jing Xu, Maolin Wang, Jinmian Ye, Fei Wang, Kun Bai, Zenglin Xu Recommender Systems Fuxing Hong, Dongbo Huang, Ge Chen ML3116: CAMO: A Collaborative Ranking Method for Content Based Recommendation ML1240: Video Inpainting by Jointly Learning Temporal Chengwei Wang, Tengfei Zhou, Chen Chen, Tianlei Hu, Gang Chen Structure and Spatial Details Chuan Wang, Haibin Huang, Xiaoguang Han, Jue Wang ML3164: Holographic Factorization Machines for Recommendation ML1296: Balanced Linear Contextual Bandits Yi Tay, Shuai Zhang, Anh Tuan Luu, Siu Cheung Hui, Lina Yao, Vinh Dang Maria Dimakopoulou, Zhengyuan Zhou, Susan Athey, Guido Imbens Quang Tran

ML1354: Scaling-Up Split-Merge MCMC with Locality Sensitive ML3228: Trust Region Evolution Strategies Sampling (LSS) Guoqing Liu, Li Zhao, Feidiao Yang, Jiang Bian, Tao Qin, Nenghai Yu, Tie- Chen Luo, Anshumali Shrivastava Yan Liu

ML1411: Bootstrap Estimated Uncertainty of the Environment ML3249: Efficient Gaussian Process Classification Using Polya- Model for Model-Based Reinforcement Learning Gamma Data Augmentation Wenzhen Huang, Junge Zhang, Kaiqi Huang Florian Wenzel, Theo Galy-Fajou, Christian Donner, Marius Kloft, Manfred Opper ML1449: Adversarial Label Learning Chidubem Arachie, Bert Huang ML3278: Learning Disentangled Representation with Pairwise Independence ML1460: Diverse Exploration via Conjugate Policies for Policy Zejian Li, Yongchuan Tang, Wei Li, Yongxing He Gradient Methods Andrew Cohen, Xingye Qiao, Lei Yu, Elliot Way, Xiangrong Tong ML3441: Meta-Descent for Online, Continual Prediction Andrew Jacobsen, Matthew Schlegel, Cameron Linke, Thomas Degris, ML1679: DAN: Deep Attention Neural Network for News Adam White, Martha White Recommendation Qiannan Zhu, Xiaofei Zhou, Zeliang Song, Jianlong Tan, Li Guo ML3455: Submodular Optimization over Streams with Inhomogeneous Decays ML1722: Classification with Costly Features Using Deep Junzhou Zhao, Shuo Shang, Pinghui Wang, John C. S. Lui, Xiangliang Reinforcement Learning Zhang Jaromír Janisch, Tomáš Pevný, Viliam Lisý ML3606: A Comparative Analysis of Expected and ML1882: DoPAMINE: Double-Sided Masked CNN for Pixel Distributional Reinforcement Learning Adaptive Multiplicative Noise Despeckling Clare Lyle, Marc G. Bellemare, Pablo Samuel Castro Sunghwan Joo, Sungmin Cha, Taesup Moon ML3640: Learning Set Functions with Limited ML1951: Non-Ergodic Convergence Analysis of Heavy-Ball Complementarity Algorithms Hanrui Zhang Tao Sun, Penghang Yin, Dongsheng Li, Chun Huang, Lei Guan, Hao Jiang ML3698: Self-Adversarially Learned Bayesian Sampling ML2071: Super Sparse Convolutional Neural Networks Yang Zhao, Jianyi Zhang, Changyou Chen Yao Lu, Guangming Lu, Bob Zhang, Yuanrong Xu, Jinxing Li ML3701: Learning to Communicate and Solve Visual Blocks- ML2145: Balanced Sparsity for Efficient DNN Inference on GPU World Tasks Zhuliang Yao, Shijie Cao, Wencong Xiao, Chen Zhang, Lanshun Nie Qi Zhang, Richard Lewis, Satinder Singh, Edmund Durfee

ML2329: Adversarial Learning of Semantic Relevance in Text to ML3720: Active Learning of Multi-Class Classification Models Image Synthesis from Ordered Class Sets Miriam Cha, Youngjune L. Gwon, H. T. Kung Yanbing Xue, Milos Hauskrecht

ML3724: Interpreting Deep Models for Text Analysis via ML4783: Partial Multi-Label Learning by Low-Rank and Sparse Optimization and Regularization Methods Decomposition Hao Yuan, Yongjun Chen, Xia Hu, Shuiwang Ji Lijuan Sun, Songhe Feng, Tao Wang, Congyan Lang, Yi Jin

ML3732: Inverse Abstraction of Neural Networks Using ML4855: Estimating the Days to Success of Campaigns in Symbolic Interpolation Crowdfunding: A Deep Survival Perspective Sumanth Dathathri, Sicun Gao, Richard M. Murray Binbin Jin, Hongke Zhao, Enhong Chen, Qi Liu, Yong Ge

ML3739: Hybrid Reinforcement Learning with Expert State ML4880: SADIH: Semantic-Aware DIscrete Hashing Sequences Zheng Zhang, Guo-sen Xie, Yang Li, Sheng Li, Zi Huang Xiaoxiao Guo, Shiyu Chang, Mo Yu, Gerald Tesauro, Murray Campbell ML4891: Sparse Reject Option Classifier Using Successive ML3753: On-Line Adaptative Curriculum Learning for GANs Linear Programming Thang Doan, Joao Monteiro, Isabela Albuquerque, Bogdan Mazoure, Kulin Shah, Naresh Manwani Audrey Durand, Joelle Pineau, R. Devon Hjelm ML4964: HyperAdam: A Learnable Task-Adaptive Adam for ML3773: Multistream Classification with Relative Density Ratio Network Training Estimation Shipeng Wang, Jian Sun, Zongben Xu Bo Dong, Yang Gao, Swarup Chandra, Latifur Khan ML4976: HERS: Modeling Influential Contexts with ML3873: Natural Option Critic Heterogeneous Relations for Sparse and Cold-Start Saket Tiwari, Philip S. Thomas Recommendation Liang Hu, Songlei Jian, Longbing Cao, Zhiping Gu, Qingkui Chen, Artak ML3912: Deep Robust Unsupervised Multi-Modal Network Amirbekyan Yang Yang, Yi-Feng Wu, De-Chuan Zhan, Zhi-Bin Liu, Yuan Jiang ML5048: Regularized Evolution for Image Classifier ML3958: Congestion Graphs for Automated Time Predictions Architecture Search Arik Senderovich, J. Christopher Beck, Avigdor Gal, Matthias Weidlich Esteban Real, Alok Aggarwal, Yanping Huang, Quoc V. Le

ML4053: Smooth Deep Image Generator from Noises ML5171: Relation Structure-Aware Heterogeneous Information Tianyu Guo, Chang Xu, Boxin Shi, Chao Xu, Dacheng Tao Network Embedding Yuanfu Lu, Chuan Shi, Linmei Hu, Zhiyuan Liu ML4077: Efficient Data Point Pruning for One-Class SVM Yasuhiro Fujiwara, Sekitoshi Kanai, Junya Arai, Yasutoshi Ida, Naonori ML5204: Learning to Solve NP-Complete Problems: A Graph Ueda Neural Network for Decision TSP

ML4078: RS3CIS: Robust Single-Step Spectral Clustering with Marcelo Prates, Pedro Avelar, Henrique Lemos, Luís C. Lamb, Moshe Y. Vardi Intrinsic Subspace Yun Xiao, Pengzhen Ren, Zhihui Li, Xiaojiang Chen, Xin Wang, Dingyi ML5325: Mode Variational LSTM Robust to Unseen Modes of Fang Variation: Application to Facial Expression Recognition ML4206: Neural Collective Graphical Models for Estimating Wissam J. Baddar, Yong Man Ro

Spatio-Temporal Population Flow from Aggregated Data ML5396: The Adversarial Attack and Detection under the Tomoharu Iwata, Hitoshi Shimizu Fisher Information Metric ML4377: Partially Observable Multi-Sensor Sequential Change Chenxiao Zhao, P. Thomas Fletcher, Mixue Yu, Yaxin Peng, Guixu Zhang, Chaomin Shen Detection: A Combinatorial Multi-Armed Bandit Approach Chen Zhang, Steven C. H. Hoi ML5492: Hyperbolic Heterogeneous Information Network

Embedding ML4433: The Utility of Sparse Representations for Control in Xiao Wang, Yiding Zhang, Chuan Shi Reinforcement Learning Vincent Liu, Raksha Kumaraswamy, Lei Le, Martha White ML5622: Adversarial Binary Collaborative Filtering for Implicit

Feedback ML4455: Modelling of Bi-Directional Spatio-Temporal Haoyu Wang, Nan Shao, Defu Lian Dependence and Users' Dynamic Preferences for Missing POI Check-In Identification ML5633: MixUp as Locally Linear Out-of-Manifold Dongbo Xi, Fuzhen Zhuang, Yanchi Liu, Jingjing Gu, Hui Xiong, Qing He Regularization

Hongyu Guo, Yongyi Mao, Richong Zhang ML4498: Frame and Feature-Context Video Super-Resolution Bo Yan, Chuming Lin, Weimin Tan ML5793: Guiding the One-to-One Mapping in CycleGAN via

Optimal Transport ML4562: One-Pass Incomplete Multi-View Clustering Guansong Lu, Zhiming Zhou, Yuxuan Song, Kan Ren, Yong Yu Menglei Hu, Songcan Chen

ML5853: Complex Unitary Recurrent Neural Networks Using ML4575: Refining Coarse-Grained Spatial Data Using Auxiliary Scaled Cayley Transform Spatial Data Sets with Various Granularities Kehelwala Dewage G. Maduranga, Kyle E. Helfrich, Qiang Ye Yusuke Tanaka, Tomoharu Iwata, Toshiyuki Tanaka, Takeshi

Kurashima, Maya Okawa, Hiroyuki Toda ML5994: Robust Optimization over Multiple Domains Qi Qian, Shenghuo Zhu, Jiasheng Tang, Rong Jin, Baigui Sun, Hao Li

ML6273: Learning to Adaptively Scale Recurrent Neural NLP606: ScisummNet: A Large Annotated Corpus and Content- Networks Impact Models for Scientific Paper Summarization with Citation Hao Hu, Liqiang Wang, Guo-Jun Qi Networks Michihiro Yasunaga, Jungo Kasai, Rui Zhang, Alexander R. Fabbri, Irene ML6381: Manifold-Valued Image Generation with Wasserstein Li, Dan Friedman, Dragomir R. Radev Generative Adversarial Nets Zhiwu Huang, Jiqing Wu, Luc Van Gool NLP1105: A Deep Cascade Model for Multi-Document Reading Comprehension ML6574: Combined Reinforcement Learning via Abstract Ming Yan, Jiangnan Xia, Chen Wu, Bin Bi, Zhongzhou Zhao, Ji Zhang, Luo Representations Si, Rui Wang, Wei Wang, Haiqing Chen Vincent Francois-Lavet, Yoshua Bengio, Doina Precup, Joelle Pineau NLP1319: Combining Axiom Injection and Knowledge Base ML6748: Distributed PageRank Computation: An Improved Completion for Efficient Natural Language Inference Theoretical Study Masashi Yoshikawa, Koji Mineshima, Hiroshi Noji, Daisuke Bekki Siqiang Luo NLP1321: Spell Once, Summon Anywhere: A Two-Level Open- ML6818: Utilizing Class Information for Deep Network Vocabulary Language Model Representation Shaping Sebastian J. Mielke, Jason Eisner Daeyoung Choi, Wonjong Rhee NLP1614: Adaptive Region Embedding for Text Classification ML6951: Improving GAN with Neighbors Embedding and Liuyu Xiang, Xiaoming Jin, Lan Yi, Guiguang Ding Gradient Matching Ngoc-Trung Tran, Tuan-Anh Bui, Ngai-Man Cheung NLP1627: CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling ML6974: RepeatNet: A Repeat Aware Neural Recommendation Ning Miao, Hao Zhou, Lili Mou, Rui Yan, Lei Li Machine for Session-Based Recommendation Pengjie Ren, Zhumin Chen, Jing Li, Zhaochun Ren, Jun Ma, Maarten de NLP1863: Graph Convolutional Networks for Text Classification Rijke Liang Yao, Chengsheng Mao, Yuan Luo

ML7063: Composite Binary Decomposition Network NLP1897: Modeling Coherence for Discourse Neural Machine You Qiaoben, Zheng Wang, Jianguo Li, Yinpeng Dong, Yu-Gang Translation Jiang, Jun Zhu Hao Xiong, Zhongjun He, Hua Wu, Haifeng Wang

ML7094: Character n-Gram Embeddings to Improve RNN NLP1933: A Human-Like Semantic Cognition Network for Language Models Aspect-Level Sentiment Classification Sho Takase, Jun Suzuki, Masaaki Nagata Zeyang Lei, Yujiu Yang, Min Yang, Wei Zhao, Jun Guo, Yi Liu

ML7133: Controllable Image-to-Video Translation: A Case NLP1979: Read + Verify: Machine Reading Comprehension with Study on Facial Expression Generation Unanswerable Questions Lijie Fan, Wenbing Huang, Chuang Gan, Junzhou Huang, Boqing Gong Minghao Hu, Furu Wei, Yuxing Peng, Zhen Huang, Nan Yang, Dongsheng Li ML7292: Dueling Bandits with Qualitative Feedback Liyuan Xu, Junya Honda, Masashi Sugiyama NLP2198: Dynamic Compositionality in Recursive Neural Networks with Structure-Aware Tag Representations ML7598: Hierarchical Context Enabled Recurrent Neural Taeuk Kim, Jihun Choi, Daniel Edmiston, Sanghwan Bae, Sang-goo Lee Network for Recommendation Kyungwoo Song, Mingi Ji, Sungrae Park, Il-Chul Moon NLP3133: Semantic Sentence Matching with Densely- Connected Recurrent and Co-Attentive Information ML7866: Geometric Hawkes Processes with Graph Seonhoon Kim, Inho Kang, Nojun Kwak Convolutional Recurrent Neural Networks Jin Shang, Mingxuan Sun NLP3134: Abstractive Text Summarization by Incorporating Reader Comments ML7946: Active Generative Adversarial Network for Image Shen Gao, Xiuying Chen, Piji Li, Zhaochun Ren, Lidong Bing, Dongyan Classification Zhao, Rui Yan Quan Kong, Bin Tong, Martin Klinkigt, Yuki Watanabe, Naoto Akira, Tomokazu Murakami NLP3156: On Resolving Ambiguous Anaphoric Expressions in Imperative Discourse ML7955: Gaussian-Induced Convolution for Graphs Vasanth Sarathy, Matthias Scheutz Jiatao Jiang, Zhen Cui, Chunyan Xu, Jian Yang NLP3275: A Generalized Language Model in Tensor Space Natural Language Processing (NLP) Lipeng Zhang, Peng Zhang, Xindian Ma, Shuqin Gu, Zhan Su, Dawei Song NLP209: Word Embedding as Maximum A Posteriori Estimation NLP3583: Multi-Matching Network for Multiple Choice Reading Shoaib Jameel, Zihao Fu, Bei Shi, Wai Lam, Steven Schockaert Comprehension Min Tang, Jiaran Cai, Hankz Hankui Zhuo NLP298: DeepChannel: Salience Estimation by Contrastive Learning for Extractive Document Summarization NLP3690: Automated Rule Base Completion as Bayesian Jiaxin Shi, Chen Liang, Lei Hou, Juanzi Li, Zhiyuan Liu, Hanwang Zhang Concept Induction Zied Bouraoui, Steven Schockaert

NLP3767: When Do Words Matter? Understanding the Impact NLP5320: GRN: Gated Relation Network to Enhance of Lexical Choice on Audience Perception Using Individual Convolutional Neural Network for Named Entity Recognition Treatment Effect Estimation Hui Chen, Zijia Lin, Guiguang Ding, Jianguang Lou, Yusen Zhang, Borje Zhao Wang, Aron Culotta Karlsson

NLP3818: Understanding Actors and Evaluating Personae with NLP5454: Jointly Extracting Multiple Triplets with Multilayer Gaussian Embeddings Translation Constraints Hannah Kim, Denys Katerenchuk, Daniel Billet, Jun Huan, Haesun Park, Zhen Tan, Xiang Zhao, Wei Wang, Weidong Xiao Boyang Li NLP5630: From Independent Prediction to Reordered NLP4024: Weakly-Supervised Hierarchical Text Classification Prediction: Integrating Relative Position and Global Label Yu Meng, Jiaming Shen, Chao Zhang, Jiawei Han Information to Emotion Cause Identification Zixiang Ding, Huihui He, Mengran Zhang, Rui Xia NLP4074: HAS-QA: Hierarchical Answer Spans Model for Open- Domain Question Answering NLP5820: Challenges in the Automatic Analysis of Students' Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Lixin Su, Xueqi Cheng Diagnostic Reasoning Claudia Schulz, Christian M. Meyer, Iryna Gurevych NLP4114: Generating Character Descriptions for Automatic Summarization of Fiction NLP6382: Zero-Shot Neural Transfer for Cross-Lingual Entity Weiwei Zhang, Jackie Chi Kit Cheung, Joel Oren Linking Shruti Rijhwani, Jiateng Xie, Graham Neubig, Jaime Carbonell NLP4124: Joint Extraction of Entities and Overlapping Relations Using Position-Attentive Sequence Labeling NLP6451: Improving Neural Question Generation Using Dai Dai, Xinyan Xiao, Yajuan Lyu, Shan Dou, Qiaoqiao She, Haifeng Wang Answer Separation Yanghoon Kim, Hwanhee Lee, Joongbo Shin, Kyomin Jung NLP4251: Deep Short Text Classification with Knowledge Powered Attention NLP6649: Jointly Learning to Label Sentences and Tokens Jindong Chen, Yizhou Hu, Jingping Liu, Yanghua Xiao, Haiyun Jiang Marek Rei, Anders Søgaard

NLP4461: Implicit Argument Prediction as Reading NLP6869: QuaRel: A Dataset and Models for Answering Comprehension Questions about Qualitative Relationships Pengxiang Cheng, Katrin Erk Oyvind Tafjord, Peter Clark, Matt Gardner, Wen-tau Yih, Ashish Sabharwal NLP4569: Exploring Answer Stance Detection with Recurrent Conditional Attention NLP7009: Predicting and Analyzing Language Specificity in Jianhua Yuan, Yanyan Zhao, Jingfang Xu, Bing Qin Social Media Posts Yifan Gao, Yang Zhong, Daniel Preotiuc-Pietro, Junyi Jessy Li NLP4724: Structured Two-Stream Attention Network for Video Question Answering NLP7014: Distant Supervision for Relation Extraction with Lianli Gao, Pengpeng Zeng, Jingkuan Song, Yuan-Fang Li , Wu Liu, Tao Linear Attenuation Simulation and Non-IID Relevance Mei, Heng Tao Shen Embedding Changsen Yuan, Heyan Huang, Chong Feng, Xiao Liu, Xiaochi Wei NLP4746: Towards Personalized Review Summarization via User-Aware Sequence Network NLP7164: Convolutional Spatial Attention Model for Reading Junjie Li, Haoran Li, Chengqing Zong Comprehension with Multiple-Choice Questions Zhipeng Chen, Yiming Cui, Wentao Ma, Shijin Wang, Guoping Hu NLP4788: Learning Semantic Representations for Novel Words: Leveraging Both Form and Context NLP7468: Syntax-Aware Neural Semantic Role Labeling Timo Schick, Hinrich Schütze Qingrong Xia, Zhenghua Li, Min Zhang, Meishan Zhang, Guohong Fu, Rui Wang, Luo Si NLP4838: Document Informed Neural Autoregressive Topic Models with Distributional Prior NLP7608: Distantly Supervised Entity Relation Extraction with Pankaj Gupta, Yatin Chaudhary, Florian Buettner, Hinrich Schuetze Adapted Manual Annotations Changzhi Sun, Yuanbin Wu NLP4905: Neural Relation Extraction Within and Across Sentence Boundaries NLP7656: GlobalTrait: Personality Alignment of Multilingual Pankaj Gupta, Subburam Rajaram, Hinrich Schuetze, Thomas Runkler Word Embeddings Farhad Bin Siddique, Dario Bertero, Pascale Fung NLP5147: DRr-Net: Dynamic Re-Read Network for Sentence Semantic Matching NLP7703: Paraphrase Diversification Using Counterfactual Kun Zhang, Guangyi Lv, Linyuan Wang, Le Wu, Enhong Chen, Fangzhao Debiasing Wu, Xing Xie Sunghyun Park, Seung-won Hwang, Fuxiang Chen, Jaegul Choo, Jung- Woo Ha, Sunghun Kim, Jinyeong Yim NLP5216: Transferable Interactive Memory Network for Domain Adaptation in Fine-Grained Opinion Extraction NLP7770: One for All: Neural Joint Modeling of Entities and Wenya Wang, Sinno Jialin Pan Events Trung Minh Nguyen, Thien Huu Nguyen

Planning, Routing, and Scheduling (PRS) PRS6035: Lifelong Path Planning with Kinematic Constraints for Multi-Agent Pickup and Delivery PRS530: Automated Verification of Social Laws for Continuous Hang Ma, Wolfgang Hoenig, T. K. Satish Kumar, Nora Ayanian, Sven Time Multi-Robot Systems Koenig Ronen Nir, Erez Karpas PRS6193: Measurement Maximizing Adaptive Sampling with PRS939: Performance Guarantees for Homomorphisms beyond Risk Bounding Functions Markov Decision Processes Benjamin Ayton, Brian Williams, Richard Camilli Sultan Javed Majeed, Marcus Hutter PRS6285: Robustness Envelopes for Temporal Plans PRS3271: Refining Abstraction Heuristics during Real-Time Michael Cashmore, Alessandro Cimatti, Daniele Magazzeni, Andrea Planning Micheli, Parisa Zehtabi Rebecca Eifler, Maximilian Fickert, Joerg Hoffmann, Wheeler Ruml PRS6405: Learning How to Ground a Plan — Partial Grounding PRS3329: Solving Multiagent Planning Problems with in Classical Planning Concurrent Conditional Effects Daniel Gnad, Alvaro Torralba, Martin Dominguez, Carlos Areces, Daniel Furelos-Blanco, Anders Jonsson Facundo Bustos

PRS3858: Multi-Agent Path Finding for Large Agents PRS6962: Generalized Planning via Abstraction: Arbitrary Jiaoyang Li, Pavel Surynek, Ariel Felner, Hang Ma, T. K. Satish Numbers of Objects Kumar, Sven Koenig León Illanes, Sheila A. McIlraith

PRS4465: Searching with Consistent Prioritization for Multi- PRS7899: Plan-Length Bounds: Beyond 1-Way Dependency Agent Path Finding Mohammad Abdulaziz Hang Ma, Daniel Harabor, Peter. J Stuckey, Jiaoyang Li, Sven Koenig Reasoning under Uncertainty (RU) PRS5010: Operator Mutexes and Symmetries for Simplifying Planning Tasks RU1405: Rethinking the Discount Factor in Reinforcement Daniel Fišer, Alvaro Torralba, Alexander Shleyfman Learning: A Decision Theoretic Approach Silviu Pitis PRS5021: Bringing Order to Chaos — A Compact Representation of Partial Order in SAT-Based HTN Planning RU1838: Finding All Bayesian Network Structures within a Gregor Behnke, Daniel Höller, Susanne Biundo Factor of Optimal Zhenyu A. Liao, Charupriya Sharma, James Cussens, Peter van Beek PRS5022: Red-Black Heuristics for Planning Tasks with Conditional Effects RU2190: Active Preference Learning Based on Generalized Gini Michael Katz Functions: Application to the Multiagent Knapsack Problem Nadjet Bourdache, Patrice Perny PRS5097: Deep Learning for Cost-Optimal Planning: Task- Dependent Planner Selection RU2351: Anytime Recursive Best-First Search for Bounding Silvan Sievers, Michael Katz, Shirin Sohrabi, Horst Samulowitz, Marginal MAP Patrick Ferber Radu Marinescu, Akihiro Kishimoto, Adi Botea, Rina Dechter, Alexander Ihler PRS5388: Temporal Planning with Temporal Metric Trajectory RU2391: Efficient Optimal Approximation of Discrete Random Constraints Andrea Micheli, Enrico Scala Variables for Estimation of Probabilities of Missing Deadlines Liat Cohen, Gera Weiss PRS5422: Moral Permissibility of Action Plans Felix Lindner, Robert Mattmüller, Bernhard Nebel RU3914: Interleave Variational Optimization with Monte Carlo Sampling: A Tale of Two Approximate Inference Paradigms PRS5556: Online Multi-Agent Pathfinding Qi Lou, Rina Dechter, Alexander Ihler Jiří Švancara, Marek Vlk, Roni Stern, Dor Atzmon, Roman Barták RU5450: A Generative Model for Dynamic Networks with PRS5626: Deep Reactive Policies for Planning in Stochastic Applications Nonlinear Domains Shubham Gupta, Gaurav Sharma, Ambedkar Dukkipati Thiago P. Bueno, Leliane N. de Barros, Denis D. Maua, Scott Sanner RU7772: Randomized Strategies for Robust Combinatorial PRS5656: Sliding Window Temporal Graph Coloring Optimization George B. Mertzios, Hendrik Molter, Viktor Zamaraev Yasushi Kawase, Hanna Sumita

PRS5758: An Innovative Genetic Algorithm for the Quantum Vision (VIS)

Circuit Compilation Problem VIS61: Spatial-Temporal Person Re-Identification Riccardo Rasconi, Angelo Oddi Guangcong Wang, Jianhuang Lai, Peigen Huang, Xiaohua Xie

PRS5812: Efficient Temporal Planning Using Metastates VIS76: Differential Networks for Visual Question Answering Amanda Coles, Andrew Coles, J. Christopher Beck Chenfei Wu, Jinlai Liu, Xiaojie Wang, Ruifan Li

PRS5828: Efficiently Reasoning with Interval Constraints in VIS136: No-Reference Image Quality Assessment with Forward Search Planning Reinforcement Recursive List-Wise Ranking Amanda Coles, Andrew Coles, Moises Martinez, Emre Savas, Juan Jie Gu, Gaofeng Meng, Cheng Da, Shiming Xiang, Chunhong Pan Manuel Delfa, Tomas de la Rosa, Yolanda E-Martin, Angel Garcia-Olaya

VIS141: Zero-Shot Object Detection with Textual Descriptions VIS1070: STA: Spatial-Temporal Attention for Large-Scale Zhihui Li, Lina Yao, Xiaoqin Zhang, Xianzhi Wang, Salil Kanhere, Video-Based Person Re-Identification Huaxiang Zhang Yang Fu, Xiaoyang Wang, Yunchao Wei, Thomas Huang

VIS180: Talking Face Generation by Adversarially Disentangled VIS1097: Cubic LSTMs for Video Prediction Audio-Visual Representation Hehe Fan, Linchao Zhu, Yi Yang Hang Zhou, Yu Liu, Ziwei Liu, Ping Luo, Xiaogang Wang VIS1233: Free VQA Models from Knowledge Inertia by Pairwise VIS236: CAPNet: Continuous Approximation Projection for 3D Inconformity Learning Point Cloud Reconstruction Using 2D Supervision Yiyi Zhou, Rongrong Ji, Jinsong Su, Xiangming Li, Xiaoshuai Sun Navaneet K L, Priyanka Mandikal, Mayank Agarwal, R. Venkatesh Babu VIS1483: ActivityNet-QA: A Dataset for Understanding Complex VIS322: Attention-Based Multi-Context Guiding for Few-Shot Web Videos via Question Answering Semantic Segmentation Zhou Yu, Dejing Xu, Jun Yu, Ting Yu, Zhou Zhao, Yueting Zhuang, Tao Hu, Pengwan Yang, Chiliang Zhang, Gang Yu, Yadong Mu, Cees G. M. Dacheng Tao Snoek VIS1557: Projection Convolutional Neural Networks for 1-Bit VIS466: Learning Neural Bag-of-Matrix-Summarization with CNNs via Discrete Back Propagation Riemannian Network Jiaxin Gu, Ce Li, Baochang Zhang, Jungong Han, Xianbin Cao, Jianzhuang Hong Liu, Jie Li, Yongjian Wu, Rongrong Ji Liu, David Doermann

VIS534: Read, Watch, and Move: Reinforcement Learning for VIS1562: StNet: Local and Global Spatial-Temporal Modeling Temporally Grounding Natural Language Descriptions in for Action Recognition Videos Dongliang He, Zhichao Zhou, Chuang Gan, Fu Li, Xiao Liu, Yandong Li, Dongliang He, Xiang Zhao, Jizhou Huang, Fu Li, Xiao Liu, Shilei Wen Limin Wang, Shilei Wen

VIS541: A Novel Framework for Robustness Analysis of Visual VIS1576: 3D Volumetric Modeling with Introspective Neural QA Models Networks Jia-Hong Huang, Cuong Dao-Duc, Modar Alfadly, Bernard Ghanem Wenlong Huang, Brian Lai, Weijian Xu, Zhuowen Tu

VIS595: TallyQA: Answering Complex Counting Questions VIS1717: Human Action Transfer Based on 3D Model Manoj Acharya, Kushal Kafle, Christopher Kanan Reconstruction Shanyan Guan, Shuo Wen, Dexin Yang, Bingbing Ni, Wendong Zhang, VIS644: Video Imprint Segmentation for Temporal Action Jun Tang, Xiaokang Yang Detection in Untrimmed Videos Zhanning Gao, Le Wang, Qilin Zhang, Zhenxing Niu, Nanning Zheng, VIS1747: BLOCK: Bilinear Superdiagonal Fusion for Visual Gang Hua Question Answering and Visual Relationship Detection Hedi Ben-younes, Remi Cadene, Nicolas Thome, Matthieu Cord VIS648: Learning to Steer by Mimicking Features from Heterogeneous Auxiliary Networks VIS1750: Non-Local Context Encoder: Robust Biomedical Image Yuenan Hou, Zheng Ma, Chunxiao Liu, Chen Change Loy Segmentation against Adversarial Attacks Xiang He, Sibei Yang, Guanbin Li, Haofeng Li, Huiyou Chang, Yizhou Yu VIS700: Towards Optimal Discrete Online Hashing with Balanced Similarity VIS1806: Self-Supervised Video Representation Learning with Mingbao Lin, Rongrong Ji, Hong Liu, Xiaoshuai Sun, Yongjian Wu, Space-Time Cubic Puzzles Yunsheng Wu Dahun Kim, Donghyeon Cho, In So Kweon

VIS782: HSME: Hypersphere Manifold Embedding for Visible VIS1955: Joint Dynamic Pose Image and Space Time Reversal Thermal Person Re-Identification for Human Action Recognition from Videos Yi Hao, Nannan Wang, Jie Li , Xinbo Gao Mengyuan Liu, Fanyang Meng, Chen Chen, Songtao Wu

VIS817: Residual Attribute Attention Network for Face Image VIS1991: Detect or Track: Towards Cost-Effective Video Object Super-Resolution Detection/Tracking Jingwei Xin, Nannan Wang, Xinbo Gao, Jie Li Hao Luo, Wenxuan Xie, Xinggang Wang, Wenjun Zeng

VIS895: Towards Optimal Fine Grained Retrieval via VIS2065: Towards Highly Accurate and Stable Face Alignment Decorrelated Centralized Loss with Normalize-Scale Layer for High-Resolution Videos Xiawu Zheng, Rongrong Ji, Xiaoshuai Sun, Baochang Zhang, Yongjian Ying Tai, Yicong Liang, Xiaoming Liu, Lei Duan, Jilin Li, Chengjie Wang, Wu, Feiyue Huang Feiyue Huang, Yu Chen

VIS971: Optimal Projection Guided Transfer Hashing for Image VIS2070: Backbone Can Not Be Trained at Once: Rolling Back Retrieval to Pre-Trained Network for Person Re-Identification Ji Liu, Lei Zhang Youngmin Ro, Jongwon Choi, Dae Ung Jo, Byeongho Heo, Jongin Lim, Jin Young Choi VIS1068: Horizontal Pyramid Matching for Person Re- Identification VIS2159: Re2EMA: Regularized and Reinitialized Exponential Yang Fu, Yunchao Wei, Yuqian Zhou, Honghui Shi, Gao Huang, Xinchao Moving Average for Target Model Update in Object Tracking Wang, Zhiqiang Yao, Thomas Huang Jianglei Huang, Wengang Zhou

VIS2201: Memory-Augmented Temporal Dynamic Learning for VIS4607: DeepCCFV: Camera Constraint-Free Multi-View Action Recognition Convolutional Neural Network for 3D Object Retrieval Yuan Yuan, Dong Wang, Qi Wang Zhengyue Huang, Zhehui Zhao, Hengguang Zhou, Xibin Zhao, Yue Gao

VIS2230: Video Object Detection with Locally-Weighted VIS4808: Efficient Image Retrieval via Decoupling Diffusion Deformable Neighbors into Online and Offline Processing Zhengkai Jiang, Peng Gao, Chaoxu Guo, Qian Zhang, Shiming Xiang, Fan Yang, Ryota Hinami, Yusuke Matsui, Steven Ly, Shin'ichi Satoh Chunhong Pan VIS4938: Meta Learning for Image Captioning VIS2331: Unsupervised Cross-Spectral Stereo Matching by Nannan Li, Zhenzhong Chen, Shan Liu Learning to Synthesize Mingyang Liang, Xiaoyang Guo, Hongsheng Li, Xiaogang Wang, You VIS4989: Action Knowledge Transfer for Action Prediction with Song Partial Videos Yijun Cai, Haoxin Li, Jian-Fang Hu, Wei-Shi Zheng VIS2389: Fully Convolutional Video Captioning with Coarse-to- Fine and Inherited Attention VIS5030: Beyond RNNs: Positional Self-Attention with Co- Kuncheng Fang, Lian Zhou, Cheng Jin, Yuejie Zhang, Kangnian Weng, Attention for Video Question Answering Tao Zhang, Weiguo Fan Xiangpeng Li, Jingkuan Song, Lianli Gao, Xianglong Liu, Wenbing Huang, Xiangnan He, Chuang Gan VIS2732: Motion Guided Spatial Attention for Video Captioning Shaoxiang Chen, Yu-Gang Jiang VIS5056: Learning Incremental Triplet Margin for Person Re- Identification VIS2760: MVPNet: Multi-View Point Regression Networks for Yingying Zhang, Qiaoyong Zhong, Liang Ma, Di Xie, Shiliang Pu 3D Object Reconstruction from a Single Image Jinglu Wang, Bo Sun, Yan Lu VIS5266: Perceptual Pyramid Adversarial Networks for Text- to-Image Synthesis VIS2866: Semantic Adversarial Network with Multi-Scale Lianli Gao, Daiyuan Chen, Jingkuan Song, Xing Xu, Dongxiang Zhang, Pyramid Attention for Video Classification Heng Tao Shen De Xie, Cheng Deng, Hao Wang, Chao Li, Dapeng Tao VIS5293: A Layer-Based Sequential Framework for Scene VIS3101: Hierarchical Photo-Scene Encoder for Album Generation with GANs Storytelling Mehmet Ozgur Turkoglu, William Thong, Luuk Spreeuwers, Berkay Bairui Wang, Lin Ma, Wei Zhang, Wenhao Jiang, Feng Zhang Kicanaoglu

VIS3139: Semantic Proposal for Activity Localization in Videos VIS5345: SuperVAE: Superpixelwise Variational Autoencoder via Sentence Query for Salient Object Detection Shaoxiang Chen, Yu-Gang Jiang Bo Li, Zhengxing Sun, Yuqi Guo

VIS3610: Dynamic Capsule Attention for Visual Question VIS5370: Hypergraph Optimization for Multi-Structural Answering Geometric Model Fitting Yiyi Zhou, Rongrong Ji, Jinsong Su, Xiaoshuai Sun, Weiqiu Chen Shuyuan Lin, Guobao Xiao, Yan Yan, David Suter, Hanzi Wang

VIS4029: Learning Transferable Self-Attentive Representations VIS5723: Unsupervised Stylish Image Description Generation for Action Recognition in Untrimmed Videos with Weak via Domain Layer Norm Supervision Cheng Kuan Chen, Zhufeng Pan, Ming-Yu Liu, Min Sun Xiao-Yu Zhang, Haichao Shi, Changsheng Li, Kai Zheng, Xiaobin Zhu, Lixin Duan VIS6338: Multilevel Language and Vision Integration for Text- to-Clip Retrieval VIS4082: Hierarchically Structured Reinforcement Learning for Huijuan Xu, Kun He, Bryan A. Plummer, Leonid Sigal, Stan Sclaroff, Kate Topically Coherent Visual Story Generation Saenko Qiuyuan Huang, Zhe Gan, Asli Celikyilmaz, Dapeng Wu, Jianfeng Wang, Xiaodong He VIS6893: Localizing Natural Language in Videos Jingyuan Chen, Lin Ma, Xinpeng Chen, Zequn Jie, Jiebo Luo VIS4121: Spatial and Temporal Mutual Promotion for Video- Based Person Re-Identification VIS7226: Unsupervised Bilingual Lexicon Induction from Yiheng Liu, Zhenxun Yuan, Wengang Zhou, Houqiang Li Mono-Lingual Multimodal Data Shizhe Chen, Qin Jin, Alexander Hauptmann VIS4239: Multiple Saliency and Channel Sensitivity Network for Aggregated Convolutional Feature VIS8018: Learning a Key-Value Memory Co-Attention Matching Xuanlu Xiang, Zhipeng Wang, Zhicheng Zhao, Fei Su Network for Person Re-Identification Yaqing Zhang, Xi Li, Zhongfei Zhang VIS4410: BiHMP-GAN: Bidirectional 3D Human Motion Prediction GAN Student Abstracts Jogendra Nath Kundu, Maharshi Gor, R. Venkatesh Babu * Denotes finalist

VIS4444: Few-Shot Image and Sentence Matching via Gated SA115*: Ethically Aligned Mobilization of Community Effort to Visual-Semantic Embedding Reposition Shared Bikes Yan Huang, Yang Long, Liang Wang Zelei Liu, Han Yu, Leye Wang, Liang Hu, Qiang Yang

SA215*: Towards Sequence-to-Sequence Reinforcement SA297: Towards Gene Function Prediction via Multi-Networks Learning for Constraint Solving with Constraint-Based Local Representation Learning Search Hansheng Xue, Jiajie Peng, Xuequn Shang Helge Spieker SA301: Learning to Transfer Relational Representations SA216*: Lipper: Speaker Independent Speech Synthesis Using through Analogy Multi-View Lipreading Gaetano Rossiello, Alfio Gliozzo, Michael Glass Khwaja Mohd Salik, Yaman Kumar, Rohit Jain, Swati Aggarwal, Rajiv Ratn Shah, Roger Zimmermann SA318: A Whole New Ball Game: Harvesting Game Data for Player Profiling SA229*: Examining Political Trustworthiness through Text- Ivan Samborskii, Aleksandr Farseev, Andrey Filchenkov, Tat-Seng Chua Based Measures of Ideology Eitan Sapiro-Gheiler SA320: CommNets: Communicating Neural Network Architectures for Resource Constrained Systems SA232*: A Fuzzy Set Based Approach for Rating Bias Prince M. Abudu Mingming Li, Jiao Dai, Fuqing Zhu, Liangjun Zang, Songlin Hu, Jizhong Han SA325: Find a Reasonable Ending for Stories: Does Logic Relation Help the Story Cloze Test? SA266*: An Optimal Rewiring Strategy for Cooperative Mingyue Shang, Zhenxin Fu, Hongzhi Yin, Bo Tang, Dongyan Zhao, Rui Multiagent Social Learning Yan Hongyao Tang, Jianye Hao, Li Wang, Tim Baarslag, Zan Wang SA326: Transductive Zero-Shot Learning via Visual Center SA269*: Computing Argumentative Explanations in Bipolar Adaptation Argumentation Frameworks Ziyu Wan, Yan Li, Min Yang, Junge Zhang Zhiwei Zeng, Chunyan Miao, Cyril Leung, Zhiqi Shen, Jing Jih Chin SA331: Robust Principal Component Analysis-Based Infrared SA299*: Frontier Search and Plan Reconstruction in Small Target Detection Oversubscription Planning Qiwei Chen, Cheng Wu, Yiming Wang Daniel Muller, Erez Karpas SA332: Adaptation Strategies for Applying AWGN-Based SA300*: Comparing Sample-Wise Learnability across Deep Denoiser to Realistic Noise Neural Network Models Yuqian Zhou, Jianbo Jiao, Haibin Huang, Jue Wang, Thomas Huang Seung-Geon Lee, Jaedeok Kim, Hyun-Joo Jung, Yoonsuck Choe SA333: Symmetrization for Embedding Directed Graphs SA305*: EWGAN: Entropy-Based Wasserstein GAN for Jiankai Sun, Srinivasan Parthasarathy Imbalanced Learning Jinfu Ren, Yang Liu, Jiming Liu SA344: MIGAN: Malware Image Synthesis Using GANs Abhishek Singh, Debojyoti Dutta, Amit Saha SA307*: A Dynamic Bayesian Network Based Merge Mechanism for Autonomous Vehicles SA346: Regularizing Fully Convolutional Networks for Time Zine El Abidine Kherroubi, Samir Aknine, Rebiha Bacha Series Classification by Decorrelating Filters Kaushal Paneri, Vishnu TV, Pankaj Malhotra, Lovekesh Vig, Gautam SA313*: Hierarchical Deep Feature Learning for Decoding Shroff Imagined Speech from EEG Pramit Saha, Sidney Fels Demos

SA356*: Adversarial Framing for Image and Video Classification DEMO188: FRIDAYS: A Financial Risk Information Detecting Michał Zając, Konrad Żołna, Negar Rostamzadeh, Pedro O. Pinheiro and Analyzing System Chi-Han Du, Yi-Shyuan Chiang, Kun-Che Tsai, Liang-Chih Liu, Ming-Feng SA415*: WSD-GAN: Word Sense Disambiguation Using Tsai, Chuan-Ju Wang

Generative Adversarial Networks DEMO352: NeuroX: A Toolkit for Analyzing Individual Neurons Zijian Hu, Fuli Luo, Yutong Tan, Wenxin Zeng, Zhifang Sui in Neural Networks SA417*: Learning Options with Interest Functions Fahim Dalvi, Avery Nortonsmith, Anthony Bau, Yonatan Belinkov, Hassan Sajjad, Nadir Durrani, James Glass Khimya Khetarpal, Doina Precup

SA422*: Learning Representations in Model-Free Hierarchical DEMO381: Demo: Learning to Perceive Long-Range Obstacles Reinforcement Learning Using Self-Supervision from Short-Range Sensors Mirko Nava, Jérôme Guzzi, R. Omar Chavez-Garcia, Luca M. Jacob Rafati, David C. Noelle Gambardella, Alessandro Giusti

SA425*: Logic-Based Sequential Decision-Making DEMO449: A General Planning-Based Framework for Goal- Daoming Lyu, Fangkai Yang, Bo Liu, Daesub Yoon Driven Conversation Assistant SA458*: What's Most Broken? A Tool to Assist Data-Driven Zhuoxuan Jiang, Jie Ma, Jingyi Lu, Guangyuan Yu, Yipeng Yu, Shaochun Li Iterative Improvement of an Intelligent Tutoring System

Mononito Goswami, Shiven Mian, Jack Mostow DEMO487: Scientific Article Search System Based on Discourse

SA296: T-Center: A Novel Discriminative Feature Extraction Facet Representation Yuta Kobayashi, Hiroyuki Shindo, Yuji Matsumoto Approach for Iris Recognition

Yifeng Chen, Cheng Wu, Yiming Wang

Thursday, January 31 Game Theory and Economic Paradigms (GTEP)

6:30 – 8:30 PM GTEP143: Pareto Optimal Allocation under Compact Uncertain Preferences AI for Social Impact (AISI) Haris Aziz, Peter Biro, Ronald de Haan, Bahar Rastegari

AISI6560: Zero Shot Learning for Code Education: Rubric GTEP620: Deep Bayesian Trust: A Dominant and Fair Incentive Sampling with Deep Learning Inference (Special Track) (AAAI- Mechanism for Crowd 19 Outstanding Student Paper Award) Naman Goel, Boi Faltings Mike Wu, Milan Mosse, Noah Goodman, Chris Piech GTEP1799: Variance Reduction in Monte Carlo Counterfactual AISI7397: A Model-Free Affective Reinforcement Learning Regret Minimization (VR-MCCFR) for Extensive Games Using Approach to Personalization of an Autonomous Social Robot Baselines Companion for Early Literacy Education (Special Track) Martin Schmid, Neil Burch, Marc Lanctot, Matej Moravcik, Rudolf Hae Won Park, Ishaan Grover, Samuel Spaulding, Louis Gomez, Cynthia Kadlec, Michael Bowling Breazeal GTEP3789: A PAC Framework for Aggregating Agents' AISI7605: Axiomatic Characterization of Data-Driven Influence Judgments Measures for Classification Hanrui Zhang, Vincent Conitzer Jakub Sliwinski, Martin Strobel, Yair Zick GTEP4096: Online Convex Optimization for Sequential Decision AI and the Web (AIW) Processes and Extensive-Form Games AIW750: Incorporating Behavioral Constraints in Online AI Gabriele Farina, Christian Kroer, Tuomas Sandholm Systems Avinash Balakrishnan, Djallel Bouneffouf, Nicholas Mattei, Francesca GTEP4902: Random Walk Decay Centrality Rossi Tomasz Wąs, Talal Rahwan, Oskar Skibski

Applications (APP) GTEP5699: Solving Partially Observable Stochastic Games with Public Observations APP2717: Deriving Subgoals Autonomously to Accelerate Karel Horák, Branislav Bošanský Learning in Sparse Reward Domains Michael Dann, Fabio Zambetta, John Thangarajah GTEP5713: Deception in Finitely Repeated Security Games Thanh H. Nguyen, Yongzhao Wang, Arunesh Sinha, Michael P. Wellman APP4267: DeepDPM: Dynamic Population Mapping via Deep Neural Network GTEP6066: A Bridge between Liquid and Social Welfare in Zefang Zong, Jie Feng, Kechun Liu, Hongzhi Shi, Yong Li Combinatorial Auctions with Submodular Bidders Dimitris Fotakis, Kyriakos Lotidis, Chara Podimata APP5118: A Memetic Approach for Sequential Security Games on a Plane with Moving Targets GTEP6120: Practical Algorithms for Multi-Stage Voting Rules Jan Karwowski, Jacek Mandziuk, Adam Żychowski, Filip Grajek, Bo An with Parallel Universes Tiebreaking Jun Wang, Sujoy Sikdar, Tyler Shepherd, Zhibing Zhao, Chunheng Jiang, APP5255: Predicting Concrete and Abstract Entities in Modern Lirong Xia Poetry Fiammetta Caccavale, Anders Søgaard GTEP6208: Generalized Distance Bribery Dorothea Baumeister, Tobias Hogrebe, Lisa Rey APP5298: Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective GTEP6541: Pareto Efficient Auctions with Interest Rates Chengqiang Lu, Qi Liu, Chao Wang, Zhenya Huang, Peize Lin, Lixin He Gagan Goel, Vahab Mirrokni, Renato Paes Leme

APP5970: Crash to Not Crash: Learn to Identify Dangerous GTEP6663: Fast Iterative Combinatorial Auctions via Bayesian Vehicles Using a Simulator Learning Hoon Kim, Kangwook Lee, Gyeongjo Hwang, Changho Suh Gianluca Brero, Sebastien Lahaie, Sven Seuken

APP7023: Improving Search with Supervised Learning in Trick- Human-AI Collaboration (HAC)

Based Card Games HAC1284: RGBD Based Gaze Estimation via Multi-Task CNN Christopher Solinas, Douglas Rebstock, Michael Buro Dongze Lian, Ziheng Zhang, Weixin Luo, Lina Hu, Minye Wu, Zechao Li,

Jingyi Yu, Shenghua Gao Constraint Satisfaction and Optimization (CSO)

CSO1456: RSA: Byzantine-Robust Stochastic Aggregation HAC2901: Deep Neural Networks Constrained by Decision Methods for Distributed Learning from Heterogeneous Datasets Rules Liping Li, Wei Xu, Tianyi Chen, Georgios B. Giannakis, Qing Ling Yuzuru Okajima, Kunihiko Sadamasa

CSO5329: Faster Gradient-Free Proximal Stochastic Methods HAC3123: Geometry-Aware Face Completion and Editing for Nonconvex Nonsmooth Optimization Linsen Song, Jie Cao, Lingxiao Song, Yibo Hu, Ran He

Feihu Huang, Bin Gu, Zhouyuan Huo, Songcan Chen, Heng Huang HAC3659: Interactive Semantic Parsing for If-Then Recipes via Hierarchical Reinforcement Learning Ziyu Yao, Xiujun Li, Jianfeng Gao, Brian Sadler, Huan Sun

HAC4297: FLEX: Faithful Linguistic Explanations for Neural Net HSO2786: Bezier Simplex Fitting: Describing Pareto Fronts of Based Model Decisions Simplicial Problems with Small Samples in Multi-Objective Sandareka Wickramanayake, Wynne Hsu, Mong Li Lee Optimization Ken Kobayashi, Naoki Hamada, Akiyoshi Sannai, Akinori Tanaka, HAC5934: Making Money from What You Know — How to Sell Kenichi Bannai, Masashi Sugiyama Information? Shani Alkoby, Zihe Wang, David Sarne, Pingzhong Tang HSO2836: Fuzzy-Classification Assisted Solution Preselection in Evolutionary Optimization HAC6091: Learning Models of Sequential Decision-Making with Aimin Zhou, Jinyuan Zhang, Jianyong Sun, Guixu Zhang Partial Specification of Agent Behavior Vaibhav V. Unhelkar, Julie A. Shah HSO3052: Fine-Grained Search Space Classification for Hard Enumeration Variants of Subset Problems HAC6613: Efficiently Combining Human Demonstrations and Juho Lauri, Sourav Dutta Interventions for Safe Training of Autonomous Systems in Real- Time HSO3768: Running Time Analysis of MOEA/D with Crossover Vinicius G. Goecks, Gregory M. Gremillion, Vernon J. Lawhern, John on Discrete Optimization Problem Valasek, Nicholas R. Waytowich Zhengxin Huang, Yuren Zhou, Zefeng Chen, Xiaoyu He

HAC6668: Updates in Human-AI Teams: Understanding and HSO7667: On the Time Complexity of Algorithm Selection Addressing the Performance/Compatibility Tradeoff Hyper-Heuristics for Multimodal Optimisation Gagan Bansal, Besmira Nushi, Ece Kamar, Daniel S. Weld, Walter S. Andrei Lissovoi, Pietro S. Oliveto, John Alasdair Warwicker Lasecki, Eric Horvitz Knowledge Representation and Reasoning (KRR) HAC6915: Generation of Policy-Level Explanations for Reinforcement Learning KRR314: Safe Partial Diagnosis from Normal Observations Nicholay Topin, Manuela Veloso Roni Stern, Brendan Juba

Humans and AI (HAI) KRR1497: Less but Better: Generalization Enhancement of Ordinal Embedding via Distributional Margin HAI2333: Goal-Oriented Dialogue Policy Learning from Failures Ke Ma, Qianqian Xu, Zhiyong Yang, Xiaochun Cao Keting Lu, Shiqi Zhang, Xiaoping Chen KRR1874: Group Decision Diagram (GDD): A Compact HAI2721: Election with Bribed Voter Uncertainty: Hardness Representation for Permutations and Approximation Algorithm Takanori Maehara, Yuma Inoue Lin Chen, Lei Xu, Shouhuai Xu, Zhimin Gao, Weidong Shi KRR2311: On Limited Conjunctions and Partial Features in HAI2722: Human Motion Prediction via Learning Local Parameter-Tractable Feature Logics Structure Representations and Temporal Dependencies Stephanie McIntyre, Alexander Borgida, David Toman, Grant Weddell Xiao Guo, Jongmoo Choi KRR3186: On Completing Sparse Knowledge Base with HAI3830: Consensual Affine Transformations for Partial Transitive Relation Embedding Valuation Aggregation Zili Zhou, Shaowu Liu, Guandong Xu, Wu Zhang Hermann Schichl, Meinolf Sellmann KRR3543: SDRL: Interpretable and Data-Efficient Deep HAI5625: Lipper: Synthesizing Thy Speech Using Multi-View Reinforcement Learning Leveraging Symbolic Planning Lipreading Daoming Lyu, Fangkai Yang, Bo Liu, Steven Gustafson Yaman Kumar, Rohit Jain, Khwaja Mohd. Salik, Rajiv Ratn Shah, Yifang Yin, Roger Zimmermann KRR3637: Efficient Concept Induction for Description Logics Md Kamruzzaman Sarker, Pascal Hitzler Human-Computation and Crowd Sourcing (HCC) KRR3916: Declarative Question Answering over Knowledge HCC: 3295: Preference-Aware Task Assignment in Spatial Bases Containing Natural Language Text with Answer Set Crowdsourcing Programming Yan Zhao, Jinfu Xia, Guanfeng Liu, Han Su, Defu Lian, Shuo Shang, Kai Arindam Mitra, Peter Clark, Oyvind Tafjord, Chitta Baral Zheng

KRR4252: LENA: Locality-Expanded Neural Embedding for Heuristic Search and Optimization (HSO) Knowledge Base Completion HSO777: Allocating Planning Effort When Actions Expire Fanshuang Kong, Richong Zhang, Yongyi Mao, Ting Deng Shahaf S. Shperberg, Andrew Coles, Bence Cserna, Erez Karpas, Wheeler Ruml, Solomon Eyal Shimony KRR4554: Complexity of Inconsistency-Tolerant Query Answering in Datalog+/- under Cardinality-Based Repairs HSO947: Enriching Non-Parametric Bidirectional Search Thomas Lukasiewicz, Enrico Malizia, Andrius Vaicenavicius Algorithms Shahaf S. Shperberg, Ariel Felner, Nathan R. Sturtevant, Solomon Eyal KRR5286: Relaxing and Restraining Queries for OBDA Shimony, Avi Hayoun Medina Andresel, Yazmin Ibanez-Garcia, Magdalena Ortiz, Mantas Simkus

KRR5448: Unbounded Orchestrations of Transducers for KRR7692: Bi-Kronecker Functional Decision Diagrams: A Novel Manufacturing Canonical Representation of Boolean Functions Natasha Alechina, Tomas Brazdil, Giuseppe De Giacomo, Paolo Felli, Xuanxiang Huang, Kehang Fang, Liangda Fang, Qingliang Chen, Zhao- Brian Logan, Moshe Y. Vardi Rong Lai, Linfeng Wei

KRR5490: Enhancing Lazy Grounding with Lazy Normalization KRR8010: Satisfiability in Strategy Logic Can Be Easier than in Answer-Set Programming Model Checking Jori Bomanson, Tomi Janhunen, Antonius Weinzierl Erman Acar, Massimo Benerecetti, Fabio Mogavero

KRR5628: Approximate Stream Reasoning with Metric Multiagent Systems (MAS) Temporal Logic under Uncertainty Daniel de Leng, Fredrik Heintz MAS2036: Leveraging Observations in Bandits: Between Risks and Benefits KRR5695: Learning Features and Abstract Actions for Andrei Lupu, Audrey Durand, Doina Precup Computing Generalized Plans Blai Bonet, Guillem Francès, Hector Geffner MAS2511: Evolution of Collective Fairness in Hybrid Populations of Humans and Agents KRR5807: Strong Equivalence for Epistemic Logic Programs Fernando P. Santos, Jorge M. Pacheco, Ana Paiva, Francisco C. Santos Made Easy Wolfgang Faber, Michael Morak, Stefan Woltran MAS2545: Learning to Teach in Cooperative Multiagent Reinforcement Learning (AAAI-19 Outstanding Student Paper, KRR5928: Ontology-Based Query Answering for Probabilistic Honorable Mention) Temporal Data Shayegan Omidshafiei, Dong-Ki Kim, Miao Liu, Gerald Tesauro, Patrick Koopmann Matthew Riemer, Christopher Amato, Murray Campbell, Jonathan P. How KRR5931: On Structured Argumentation with Conditional Preferences MAS2772: Multi-Winner Contests for Strategic Diffusion in Phan Minh Dung, Phan Minh Thang, Tran Cao Son Social Networks Wen Shen, Yang Feng, Cristina V. Lopes KRR5974: End-to-End Structure-Aware Convolutional Networks for Knowledge Base Completion MAS2998: An Abstraction-Based Method for Verifying Strategic Chao Shang, Yun Tang, Jing Huang, Jinbo Bi, Xiaodong He, Bowen Zhou Properties in Multi-Agent Systems with Imperfect Information Francesco Belardinelli, Alessio Lomuscio, Vadim Malvone KRR6029: An Open-World Extension to Knowledge Graph Completion Models MAS3018: General Robustness Evaluation of Incentive Haseeb Shah, Johannes Villmow, Adrian Ulges, Ulrich Mechanism against Bounded Rationality Using Continuum- Schwanecke, Faisal Shafait Armed Bandits Zehong Hu, Jie Zhang, Zhao Li KRR6049: Reasoning over Streaming Data in Metric Temporal Datalog MAS3561: Message-Dropout: An Efficient Training Method for Przemysław Andrzej Wałęga, Mark Kaminski, Bernardo Cuenca Grau Multi-Agent Deep Reinforcement Learning Woojun Kim, MyungSik Cho, Youngchul Sung KRR6074: Forgetting in Modular Answer Set Programming Ricardo Gonçalves, Tomi Janhunen, Matthias Knorr, João Leite, Stefan MAS3695: Theory of Minds: Understanding Behavior in Groups Woltran through Inverse Planning Michael Shum, Max Kleiman-Weiner, Michael L. Littman, Joshua B. KRR6148: Multi-Context System for Optimization Problems Tenenbaum Tiep Le, Tran Cao Son, Enrico Pontelli MAS4963: Multi-Agent Discussion Mechanism for Natural KRR6166: Ontology-Mediated Query Answering over Log- Language Generation Linear Probabilistic Data Xu Li, Mingming Sun, Ping Li Stefan Borgwardt, Ismail Ilkan Ceylan, Thomas Lukasiewicz MAS6390: Consensus in Opinion Formation Processes in Fully KRR6221: Representing and Learning Grammars in Answer Set Evolving Environments Programming Vincenzo Auletta, Angelo Fanelli, Diodato Ferraioli Mark Law, Alessandra Russo, Elisa Bertino, Krysia Broda, Jorge Lobo MAS6880: Distributed Community Detection via Metastability KRR6461: Identification of Causal Effects in the Presence of of the 2-Choices Dynamics Selection Bias Emilio Cruciani, Emanuele Natale, Giacomo Scornavacca Juan D. Correa, Jin Tian, Elias Bareinboim MAS7447: Multiagent Decision Making for Maritime Traffic KRR6531: Counting Complexity for Reasoning in Abstract Management Argumentation Arambam James Singh, Duc Thien Nguyen, Akshat Kumar, Hoong Chuin Johannes K. Fichte, Markus Hecher, Arne Meier Lau

KRR7196: ATOMIC: An Atlas of Machine Commonsense for If- MAS7839: Overcoming Blind Spots in the Real World: Then Reasoning Leveraging Complementary Abilities for Joint Execution Maarten Sap, Ronan Le Bras, Emily Allaway, Chandra Bhagavatula, Ramya Ramakrishnan, Ece Kamar, Besmira Nushi, Debadeepta Dey, Nicholas Lourie, Hannah Rashkin, Brendan Roof, Noah A. Smith, Yejin Julie Shah, Eric Horvitz Choi

Machine Learning (ML) ML1578: Point Cloud Processing via Recurrent Set Encoding Pengxiang Wu, Chao Chen, Jingru Yi, Dimitris Metaxas ML9: CircConv: A Structured Convolution with Low Complexity Siyu Liao, Bo Yuan ML1620: Soft Facial Landmark Detection by Label Distribution Learning ML272: Disjoint Label Space Transfer Learning with Common Kai Su, Xin Geng Factorised Space Xiaobin Chang, Yongxin Yang, Tao Xiang, Timothy M. Hospedales ML1681: TAPAS: Train-Less Accuracy Predictor for Architecture Search ML305: Deep Recurrent Survival Analysis Roxana Istrate, Florian Scheidegger, Giovanni Mariani, Dimitrios Kan Ren, Jiarui Qin, Lei Zheng, Zhengyu Yang, Weinan Zhang, Lin Qiu, Nikolopoulos, Costas Bekas, A. Cristiano I. Malossi Yong Yu ML1744: Structural Causal Bandits with Non-Manipulable ML333: Scalable Distributed DL Training: Batching Variables Communication and Computation Sanghack Lee, Elias Bareinboim Shaoqi Wang, Aidi Pi, Xiaobo Zhou ML1754: A Two-Stream Mutual Attention Network for Semi- ML353: Deep Interest Evolution Network for Click-Through Supervised Biomedical Segmentation with Noisy Labels Rate Prediction Shaobo Min, Xuejin Chen, Zheng-Jun Zha, Feng Wu, Yongdong Zhang Guorui Zhou, Na Mou, Ying Fan, Qi Pi, Weijie Bian, Chang Zhou, Xiaoqiang Zhu, Kun Gai ML1760: Block Belief Propagation for Parameter Learning in

Markov Random Fields ML702: Determinantal Reinforcement Learning You Lu, Zhiyuan Liu, Bert Huang Takayuki Osogami, Rudy Raymond

ML1802: Model-Free IRL Using Maximum Likelihood ML770: How Many Pairwise Preferences Do We Need to Rank a Estimation Graph Consistently? Vinamra Jain, Prashant Doshi, Bikramjit Banerjee Aadirupa Saha, Rakesh Shivanna, Chiranjib Bhattacharyya

ML1855: Estimating the Causal Effect from Partially Observed ML787: Spectral Clustering in Heterogeneous Information Time Series Networks Akane Iseki, Yusuke Mukuta, Yoshitaka Ushiku, Tatsuya Harada Xiang Li, Ben Kao, Zhaochun Ren, Dawei Yin

ML1858: Understanding Learned Models by Identifying ML851: Embedding Uncertain Knowledge Graphs Important Features at the Right Resolution Xuelu Chen, Muhao Chen, Weijia Shi, Yizhou Sun, Carlo Zaniolo Kyubin Lee, Akshay Sood, Mark Craven

ML867: Self-Paced Active Learning: Query the Right Thing at ML1924: Non-Autoregressive Neural Machine Translation with the Right Time Enhanced Decoder Input Ying-Peng Tang, Sheng-Jun Huang Junliang Guo, Xu Tan, Di He, Tao Qin, Linli Xu, Tie-Yan Liu

ML881: Fully Convolutional Network with Multi-Step ML1960: Training Deep Neural Networks in Generations: A Reinforcement Learning for Image Processing More Tolerant Teacher Educates Better Students Ryosuke Furuta, Naoto Inoue, Toshihiko Yamasaki Chenglin Yang, Lingxi Xie, Siyuan Qiao, Alan L. Yuille

ML913: Robustness Can Be Cheap: A Highly Efficient Approach ML2024: Unsupervised Transfer Learning for Spoken Language to Discover Outliers under High Outlier Ratios Understanding in Intelligent Agents Siqi Wang, En Zhu, Xiping Hu, Xinwang Liu, Qiang Liu, Jianping Yin, Fei Aditya Siddhant, Anuj Kumar Goyal, Angeliki Metallinou Wang

ML941: Cross-View Local Structure Preserved Diversity and ML2061: Two-Stage Label Embedding via Neural Factorization Consensus Learning for Multi-View Unsupervised Feature Machine for Multi-Label Classification Chen Chen, Haobo Wang, Weiwei Liu, Xingyuan Zhao, Tianlei Hu, Gang Selection Chen Chang Tang, Xinzhong Zhu, Xinwang Liu, Lizhe Wang

ML2081: SVM-Based Deep Stacking Networks ML956: Cost-Sensitive Learning to Rank Jingyuan Wang, Kai Feng, Junjie Wu Ryan McBride, Ke Wang, Zhouyang Ren, Wenyuan Li

ML2109: Clipped Matrix Completion: A Remedy for Ceiling ML1057: End-to-End Safe Reinforcement Learning through Effects Barrier Functions for Safety-Critical Continuous Control Tasks Takeshi Teshima, Miao Xu, Issei Sato, Masashi Sugiyama Richard Cheng, Gabor Orosz, Richard M. Murray, Joel W. Burdick

ML2326: Scalable and Efficient Pairwise Learning to Achieve ML1250: Joint Semi-Supervised Feature Selection and Statistical Accuracy Classification through Bayesian Approach Bin Gu, Zhouyuan Huo, Heng Huang Bingbing Jiang, Xingyu Wu, Kui Yu, Huanhuan Chen

ML2327: Large-Scale Interactive Recommendation with Tree- ML1480: Bayesian Posterior Approximation Via Greedy Particle Structured Policy Gradient Optimization Haokun Chen, Xinyi Dai, Han Cai, Weinan Zhang, Xuejian Wang, Futoshi Futami, Zhenghang Cui, Issei Sato, Masashi Sugiyama Ruiming Tang, Yuzhou Zhang, Yong Yu

ML1506: Hypergraph Neural Networks Yifan Feng, Haoxuan You, Zizhao Zhang, Rongrong Ji, Yue Gao

ML2359: Policy Optimization with Model-Based Explorations ML2929: Self-Supervised Mixture-of-Experts by Uncertainty Feiyang Pan, Qingpeng Cai, An-Xiang Zeng, Chun-Xiang Pan, Qing Da, Estimation Hualin He, Qing He, Pingzhong Tang Zhuobin Zheng, Chun Yuan, Xinrui Zhu, Zhihui Lin, Yangyang Cheng, Cheng Shi, Jiahui Ye ML2399: CAFE: Adaptive VDI Workload Prediction with Multi- Grained Features ML2943: SpHMC: Spectral Hamiltonian Monte Carlo Yao Zhang, Wen-Ping Fan, Xuan Wu, Hua Chen, Bin-Yang Li, Min-Ling Haoyi Xiong, Kafeng Wang, Jiang Bian, Zhanxing Zhu, Cheng-Zhong Xu, Zhang Zhishan Guo, Jun Huan

ML2403: Optimization of Hierarchical Regression Model with ML3008: Safe Policy Improvement with Baseline Bootstrapping Application to Optimizing Multi-Response Regression K-ary in Factored Environments Trees Thiago D. Simão, Matthijs T. J. Spaan Pooya Tavallali, Peyman Tavallali, Mukesh Singhal ML3053: Learning Personalized Attribute Preference via Multi- ML2407: How to Combine Tree-Search Methods in Task AUC Optimization Reinforcement Learning (AAAI-19 Outstanding Paper Award) Zhiyong Yang, Qianqian Xu, Xiaochun Cao, Qingming Huang Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor ML3115: Granger-Causal Attentive Mixtures of Experts: ML2477: Number Sequence Prediction Problems for Evaluating Learning Important Features with Neural Networks Computational Powers of Neural Networks Patrick Schwab, Djordje Miladinovic, Walter Karlen Hyoungwook Nam, Segwang Kim, Kyomin Jung ML3157: Hyperprior Induced Unsupervised Disentanglement ML2508: Learning Anytime Predictions in Neural Networks via of Latent Representations Adaptive Loss Balancing Abdul Fatir Ansari, Harold Soh Hanzhang Hu, Debadeepta Dey, Martial Hebert, J. Andrew Bagnell ML3325: Data-Adaptive Metric Learning with Scale Alignment ML2553: Image Block Augmentation for One-Shot Learning Shuo Chen, Chen Gong, Jian Yang, Ying Tai, Le Hui, Jun Li Zitian Chen, Yanwei Fu, Kaiyu Chen, Yu-Gang Jiang ML3447: Lifted Proximal Operator Machines ML2673: Subspace Selection via DR-Submodular Maximization Jia Li, Cong Fang, Zhouchen Lin on Lattices So Nakashima, Takanori Maehara ML3467: Bayesian Deep Collaborative Matrix Factorization Teng Xiao, Shangsong Liang, Weizhou Shen, Zaiqiao Meng ML2686: An Efficient Compressive Convolutional Network for Unified Object Detection and Image Compression ML3515: Communication Efficient Stochastic Gradient MCMC Xichuan Zhou, Lang Xu, Shujun Liu, Yingcheng Lin, Lei Zhang, Cheng for Neural Networks Zhuo Chunyuan Li, Changyou Chen, Yunchen Pu, Ricardo Henao, Lawrence Carin ML2689: Multi-View Anomaly Detection: Neighborhood in Locality Matters ML3526: Multi-Order Attentive Ranking Model for Sequential Xiang-Rong Sheng, De-Chuan Zhan, Su Lu, Yuan Jiang Recommendation Lu Yu, Chuxu Zhang, Shangsong Liang, Xiangliang Zhang ML2742: Orthogonality-Promoting Dictionary Learning via Bayesian Inference ML3529: Training Complex Models with Multi-Task Weak Lei Luo, Jie Xu, Cheng Deng, Heng Huang Supervision Alexander Ratner, Braden Hancock, Jared Dunnmon, Frederic Sala, ML2831: EA-CG: An Approximate Second-Order Method for Shreyash Pandey, Christopher Re Training Fully-Connected Neural Networks Sheng-Wei Chen, Chun-Nan Chou, Edward Y. Chang ML3612: State Abstraction as Compression in Apprenticeship Learning ML2858: Bias-Variance Trade-Off in Hierarchical Probabilistic David Abel, Dilip Arumugam, Kavosh Asadi, Yuu Jinnai, Michael L. Models Using Higher-Order Feature Interactions Littman, Lawson L.S. Wong Simon Luo, Mahito Sugiyama ML3622: Deep Convolutional Sum-Product Networks ML2870: Residual Invertible Spatio-Temporal Network for Cory J. Butz, Jhonatan S. Oliveira, André E. dos Santos, André L. Teixeira Video Super-Resolution Xiaobin Zhu, Zhuangzi Li, Xiao-Yu Zhang, Changsheng Li, Yaqi Liu, Ziyu ML3626: Learning Competitive and Discriminative Xue Reconstructions for Anomaly Detection Kai Tian, Shuigeng Zhou, Jianping Fan, Jihong Guan ML2874: Partial Multi-Label Learning via Credible Label Elicitation ML3665: Towards Better Interpretability in Deep Q-Networks Jun-Peng Fang, Min-Ling Zhang Raghuram Mandyam Annasamy, Katia Sycara

ML2924: Non-Autoregressive Machine Translation with ML3927: Embedding-Based Complex Feature Value Coupling Auxiliary Regularization Learning for Detecting Outliers in Non-IID Categorical Data Yiren Wang, Fei Tian, Di He, Tao Qin, ChengXiang Zhai, Tie-Yan Liu Hongzuo Xu, Yongjun Wang, Zhiyue Wu, Yijie Wang

ML3931: Learning Dynamic Generator Model by Alternating Back-Propagation through Time Jianwen Xie, Ruiqi Gao, Zilong Zheng, Song-Chun Zhu, Ying Nian Wu

ML4039: ACE: An Actor Ensemble Algorithm for Continuous ML4932: Inter-Class Angular Loss for Convolutional Neural Control with Tree Search Networks Shangtong Zhang, Hengshuai Yao Le Hui, Xiang Li, Chen Gong, Meng Fang, Joey Tianyi Zhou, Jian Yang

ML4041: Partial Label Learning via Label Enhancement ML5069: Mixture of Expert/Imitator Networks: Scalable Semi- Ning Xu, Jiaqi Lv, Xin Geng Supervised Learning Framework Shun Kiyono, Jun Suzuki, Kentaro Inui ML4068: Task-Driven Common Representation Learning via Bridge Neural Network ML5134: Ranking-Based Deep Cross-Modal Hashing Yao Xu, Xueshuang Xiang, Meiyu Huang Xuanwu Liu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Yazhou Ren, Maozu Guo ML4180: A Domain Generalization Perspective on Listwise Context Modeling ML5172: Where to Go Next: A Spatio-Temporal Gated Network Lin Zhu, Yihong Chen, Bowen He for Next POI Recommendation Pengpeng Zhao, Haifeng Zhu, Yanchi Liu, Jiajie Xu, Zhixu Li, Fuzhen ML4211: Understanding VAEs in Fisher-Shannon Plane Zhuang, Victor S. Sheng, Xiaofang Zhou Huangjie Zheng, Jiangchao Yao, Ya Zhang, Ivor W. Tsang, jia Wang ML5189: Multi-View Multi-Instance Multi-Label Learning Based ML4277: Weighted Oblique Decision Trees on Collaborative Matrix Factorization Bin-Bin Yang, Song-Qing Shen, Wei Gao Yuying Xing, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang, Maozu Guo ML4342: On Reinforcement Learning for Full-Length Game of StarCraft ML5211: Sign-Full Random Projections Zhen-Jia Pang, Ruo-Ze Liu, Zhou-Yu Meng, Yi Zhang, Yang Yu, Tong Lu Ping Li

ML4365: Data-Distortion Guided Self-Distillation for Deep ML5221: Confidence Weighted Multitask Learning Neural Networks Peng Yang, Peilin Zhao, Jiayu Zhou, Xin Gao Ting-Bing Xu, Cheng-Lin Liu ML5238: Explainable Recommendation through Attentive ML4379: Understanding Persuasion Cascades in Online Product Multi-View Learning Rating Systems Jingyue Gao, Xiting Wang, Yasha Wang, Xing Xie Hong Xie, Yongkun Li, John C. S. Lui ML5295: Human-Like Delicate Region Erasing Strategy for ML4416: Robust Multi-Agent Reinforcement Learning via Weakly Supervised Detection Minimax Deep Deterministic Policy Gradient Qing En, Lijuan Duan, Zhaoxiang Zhang, Xiang Bai, Yundong Zhang Shihui Li, Yi Wu, Xinyue Cui, Honghua Dong, Fei Fang, Stuart Russell ML5321: Partial Label Learning with Self-Guided Retraining ML4518: Learning Compact Model for Large-Scale Multi-Label Lei Feng, Bo An Data Tong Wei, Yu-Feng Li ML5324: Scale Invariant Fully Convolutional Network: Detecting Hands Efficiently ML4528: Efficient Identification of Approximate Best Dan Liu, Dawei Du, Libo Zhang, Tiejian Luo, Yanjun Wu, Feiyue Huang, Configuration of Training in Large Datasets Siwei Lyu Silu Huang, Chi Wang, Bolin Ding, Surajit Chaudhuri ML5339: Collaboration Based Multi-Label Learning ML4622: Counting and Sampling from Markov Equivalent DAGs Lei Feng, Bo An, Shuo He Using Clique Trees AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash, Kun Zhang ML5383: Label Embedding with Partial Heterogeneous Contexts ML4810: Unsupervised Feature Selection by Pareto Yaxin Shi, Donna Xu, Yuangang Pan, Ivor W. Tsang, Shirui Pan Optimization Chao Feng, Chao Qian, Ke Tang ML5441: A Radical-Aware Attention-Based Model for Chinese Text Classification ML4816: Oversampling for Imbalanced Data via Optimal Hanqing Tao, Shiwei Tong, Hongke Zhao, Tong Xu, Binbin Jin, Qi Liu Transport Yuguang Yan, Mingkui Tan, Yanwu Xu, Jiezhang Cao, Michael Kwok-Po ML5456: Using Benson's Algorithm for Regularization Ng, Huaqing Min, Qingyao Wu Parameter Tracking Joachim Giesen, Sören Laue, Andreas Löhne, Christopher Schneider ML4820: Collaborative, Dynamic and Diversified User Profiling Shangsong Liang ML5491: Efficient Counterfactual Learning from Bandit Feedback ML4836: Variational Autoencoder with Implicit Optimal Priors Yusuke Narita, Shota Yasui, Kohei Yata Hiroshi Takahashi, Tomoharu Iwata, Yuki Yamanaka, Masanori Yamada, Satoshi Yagi ML5570: Transductive Bounds for the Multi-Class Majority Vote Classifier ML4841: Learning (from) Deep Hierarchical Structure among Vasilii Feofanov, Emilie Devijver, Massih-Reza Amini Features Yu Zhang, Lei Han ML5593: Exploiting Synthetically Generated Data with Semi- Supervised Learning for Small and Imbalanced Datasets Maria Perez-Ortiz, Peter Tino, Rafal Mantiuk, Cesar Hervas-Martinez

ML5688: Tied Transformers: Neural Machine Translation with ML6621: Distributional Semantics Meets Multi-Label Learning Shared Encoder and Decoder Vivek Gupta, Rahul Wadbude, Nagarajan Natarajan, Harish Karnick, Yingce Xia, Tianyu He, Xu Tan, Fei Tian, Di He, Tao Qin Prateek Jain, Piyush Rai

ML5691: Automatic Code Review by Learning the Revision of ML6710: Improved Knowledge Graph Embedding Using Source Code Background Taxonomic Information Shu-Ting Shi, Ming Li, David Lo, Ferdian Thung, Xuan Huo Bahare Fatemi, Siamak Ravanbakhsh, David Poole

ML5709: Find Me If You Can: Deep Software Clone Detection by ML6773: TransConv: Relationship Embedding in Social Exploiting the Contest between the Plagiarist and the Detector Networks Yan-Ya Zhang, Ming Li Yi-Yu Lai, Jennifer Neville, Dan Goldwasser

ML5745: Distributionally Robust Semi-Supervised Learning for ML6844: Uncovering Specific-Shape Graph Anomalies in People-Centric Sensing Attributed Graphs Kaixuan Chen, Lina Yao, Dalin Zhang, Xiaojun Chang, Guodong Long, Sen Nannan Wu, Wenjun Wang, Feng Chen, Jianxin Li, Bo Li, Jinpeng Huai Wang ML6845: Off-Policy Deep Reinforcement Learning by ML5839: Automatic Bayesian Density Analysis Bootstrapping the Covariate Shift Antonio Vergari, Alejandro Molina, Robert Peharz, Zoubin Ghahramani, Carles Gelada, Marc G. Bellemare Kristian Kersting, Isabel Valera ML6897: Explainable Reasoning over Knowledge Graphs for ML5925: Character-Level Language Modeling with Deeper Self- Recommendation Attention Xiang Wang, Dingxian Wang, Canran Xu, Xiangnan He, Yixin Cao, Tat- Rami Al-Rfou, Dokook Choe, Noah Constant, Mandy Guo, Llion Jones Seng Chua

ML5968: Bayesian Graph Convolutional Neural Networks for ML6907: Spatially Invariant Unsupervised Object Detection Semi-Supervised Classification with Convolutional Neural Networks Yingxue Zhang, Soumyasundar Pal, Mark Coates, Deniz Ustebay Eric Crawford, Joelle Pineau

ML6031: Interpretable Preference Learning: A Game Theoretic ML7182: Multi-Precision Quantized Neural Networks via Framework for Large Margin On-Line Feature and Rule Encoding Decomposition of {-1,+1} Learning Qigong Sun, Fanhua Shang, Kang Yang, Xiufang Li, Yan Ren, Licheng Mirko Polato, Fabio Aiolli Jiao

ML6136: Attacking Data Transforming Learners at Training ML7188: Exploiting Class Learnability in Noisy Data Time Matthew Klawonn, Eric Heim, James Hendler Scott Alfeld, Ara Vartanian, Lucas Newman-Johnson, Benjamin I. P. Rubinstein ML7194: Learning Logistic Circuits Yitao Liang, Guy Van den Broeck ML6217: Learning Plackett-Luce Mixtures from Partial Preferences ML7240: Matrix Completion for Graph-Based Deep Semi- Ao Liu, Zhibing Zhao, Chao Liao, Pinyan Lu, Lirong Xia Supervised Learning Fariborz Taherkhani, Hadi Kazemi, Nasser M. Nasrabadi ML6229: Evaluating Recommender System Stability with Influence-Guided Fuzzing ML7259: Biologically Motivated Algorithms for Propagating David Shriver, Sebastian Elbaum, Matthew B. Dwyer, David S. Local Target Representations Rosenblum Alexander G. Ororbia, Ankur Mali

ML6276: Learning Vine Copula Models for Synthetic Data ML7290: InfoVAE: Balancing Learning and Inference in Generation Variational Autoencoders Yi Sun, Alfredo Cuesta-Infante, Kalyan Veeramachaneni Shengjia Zhao, Jiaming Song, Stefano Ermon

ML6318: Latent Multi-Task Architecture Learning ML7332: Learning Segmentation Masks with the Independence Sebastian Ruder, Joachim Bingel, Isabelle Augenstein, Anders Søgaard Prior Songmin Dai, Xiaoqiang Li, Lu Wang, Pin Wu, Weiqin Tong, Yimin Chen ML6432: Gradient-Based Inference for Networks with Output Constraints ML7422: A Non-Convex Optimization Approach to Correlation Jay-Yoon Lee, Sanket Vaibhav Mehta, Michael Wick, Jean-Baptiste Clustering Tristan, Jaime Carbonell Erik Thiel, Morteza Haghir Chehreghani, Devdatt Dubhashi

ML6455: A New Ensemble Learning Framework for 3D ML7498: Active Sampling for Open-Set Classification without Biomedical Image Segmentation Initial Annotation Hao Zheng, Yizhe Zhang, Lin Yang, Peixian Liang, Zhuo Zhao, Chaoli Zhao-Yang Liu, Sheng-Jun Huang Wang, Danny Z. Chen ML7543: Multi-Source Neural Variational Inference ML6465: DyS: A Framework for Mixture Models in Richard Kurle, Stephan Günnemann, Patrick van der Smagt Quantification André Maletzke, Denis dos Reis, Everton Cherman, Gustavo Batista

ML7647: Learning Uniform Semantic Features for Natural NLP2192: Recurrent Stacking of Layers for Compact Neural Language and Programming Language Globally, Locally and Machine Translation Models Sequentially Raj Dabre, Atsushi Fujita Yudong Zhang, Wenhao Zheng, Ming Li NLP2340: Incorporating Structured Commonsense Knowledge ML7688: Towards Automated Semi-Supervised Learning for Story Completion Yufeng Li, Hai Wang, Tong Wei, Wei-Wei Tu Jiaao Chen, Jianshu Chen, Zhou Yu

ML7713: Efficient Quantization for Neural Networks with NLP2571: Online Embedding Compression for Text Binary Weights and Low Bitwidth Activations Classification Using Low Rank Matrix Factorization Kun Huang, Bingbing Ni, Xiaokang Yang Anish Acharya, Rahul Goel, Angeliki Metallinou, Inderjit Dhillon

ML7938: Enhanced Random Forest Algorithms for Partially NLP2651: EA Reader: Enhance Attentive Reader for Cloze-Style Monotone Ordinal Classification Question Answering via Multi-Space Context Fusion Christopher Bartley, Wei Liu, Mark Reynolds Chengzhen Fu, Yan Zhang

ML8001: Towards Reliable Learning for High Stakes NLP2685: Logic Attention Based Neighborhood Aggregation for Applications Inductive Knowledge Graph Embedding Jinyang Gao, Junjie Yao, Yingxia Shao Peifeng Wang, Jialong Han, Chenliang Li, Rong Pan

ML8021: Active Mini-Batch Sampling Using Repulsive Point NLP2698: A Natural Language Corpus of Common Grounding Processes under Continuous and Partially-Observable Context Cheng Zhang, Cengiz Oztireli, Stephan Mandt, Giampiero Salvi Takuma Udagawa, Akiko Aizawa

ML8047: Modeling Local Dependence in Natural Language with NLP2849: Dependency or Span, End-to-End Uniform Semantic Multi-Channel Recurrent Neural Networks Role Labeling Chang Xu, Weiran Huang, Hongwei Wang, Gang Wang, Tie-Yan Liu Zuchao Li, Shexia He, Hai Zhao, Yiqing Zhang, Zhuosheng Zhang, Xi Zhou, Xiang Zhou ML8110: Model Learning for Look-Ahead Exploration in Continuous Control NLP2960: Hierarchical Attention Networks for Sentence Arpit Agarwal, Katharina Muelling, Katerina Fragkiadaki Ordering Tianming Wang, Xiaojun Wan Natural Language Processing (NLP) NLP3179: Long Short-Term Memory with Dynamic Skip NLP629: Knowledge-Driven Encode, Retrieve, Paraphrase for Connections Medical Image Report Generation Tao Gui, Qi Zhang, Lujun Zhao, Yaosong Lin, Minlong Peng, Jingjing Christy Y. Li, Xiaodan Liang, Zhiting Hu, Eric P. Xing Gong, Xuanjing Huang

NLP672: Template-Based Math Word Problem Solvers with NLP3183: Generating Distractors for Reading Comprehension Recursive Neural Networks Questions from Real Examinations Lei Wang, Dongxiang Zhang, Jipeng Zhang, Xing Xu, Lianli Gao, Bingtian Yifan Gao, Lidong Bing, Piji Li, Irwin King, Michael R. Lyu Dai, Heng Tao Shen NLP3393: Dependency Grammar Induction with a Neural NLP754: Data-to-Text Generation with Content Selection and Variational Transition-Based Parser Planning Bowen Li, Jianpeng Cheng, Yang Liu, Frank Keller Ratish Puduppully, Li Dong, Mirella Lapata NLP3444: Recurrent Poisson Process Unit for Speech NLP1303: TopicEq: A Joint Topic and Mathematical Equation Recognition Model for Scientific Texts Hengguang Huang, Hao Wang, Brian Mak Michihiro Yasunaga, John D. Lafferty NLP3490: A Grammar-Based Structural CNN Decoder for Code NLP1610: Learning Personalized End-to-End Goal-Oriented Generation Dialog Zeyu Sun, Qihao Zhu, Lili Mou, Yingfei Xiong, Ge Li, Lu Zhang Liangchen Luo, Wenhao Huang, Qi Zeng, Zaiqing Nie, Xu Sun NLP3507: Generating Live Soccer-Match Commentary from NLP1680: Kernelized Hashcode Representations for Relation Play Data Extraction Yasufumi Taniguchi, Yukun Feng, Hiroya Takamura, Manabu Okumura Sahil Garg, Aram Galstyan, Greg Ver Steeg, Irina Rish, Guillermo Cecchi, Shuyang Gao NLP3549: Exploring Human-Like Reading Strategy for Abstractive Text Summarization NLP1925: Towards Sentence-Level Brain Decoding with Min Yang, Qiang Qu, Wenting Tu, Ying Shen, Zhou Zhao, Xiaojun Chen Distributed Representations Jingyuan Sun, Shaonan Wang, Jiajun Zhang, Chengqing Zong NLP3771: Neural Machine Translation with Adequacy-Oriented Learning NLP2022: Dictionary-Guided Editing Networks for Paraphrase Xiang Kong, Zhaopeng Tu, Shuming Shi, Eduard Hovy, Tong Zhang Generation Shaohan Huang, Yu Wu, Furu Wei, Zhongzhi Luan NLP3970: A Topic-Aware Reinforced Model for Weakly Supervised Stance Detection Penghui Wei, Wenji Mao, Guandan Chen

NLP4137: Generating Multiple Diverse Responses for Short- NLP6418: Transfer Learning for Sequence Labeling Using Text Conversation Source Model and Target Data Jun Gao, Wei Bi, Xiaojiang Liu, Junhui Li, Shuming Shi Lingzhen Chen, Alessandro Moschitti

NLP4350: Quantifying Uncertainties in Natural Language NLP6420: Near-Lossless Binarization of Word Embeddings Processing Tasks Julien Tissier, Christophe Gravier, Amaury Habrard Yijun Xiao, William Yang Wang NLP6442: Analysis of Joint Multilingual Sentence NLP4382: Generating Chinese Ci with Designated Metrical Representations and Semantic K-Nearest Neighbor Graphs Structure Holger Schwenk, Douwe Kiela, Matthijs Douze Richong Zhang, Xinyu Liu, Xinwei Chen, Zhiyuan Hu, Zhaoqing Xu, Yongyi Mao NLP6485: Contextualized Non-Local Neural Networks for Sequence Learning NLP4385: Distributed Representation of Words in Cause and Pengfei Liu, Shuaichen Chang, Jian Tang, Jackie Chi Kit Cheung Effect Spaces Zhipeng Xie, Feiteng Mu NLP6558: "Bilingual Expert" Can Find Translation Errors Kai Fan, Jiayi Wang, Bo Li, Fengming Zhou, Boxing Chen, Luo Si NLP4402: Domain Agnostic Real-Valued Specificity Prediction Wei-Jen Ko, Greg Durrett, Junyi Jessy Li NLP6597: A Task in a Suit and a Tie: Paraphrase Generation with Semantic Augmentation NLP4533: Unsupervised Controllable Text Formalization Su Wang, Rahul Gupta, Nancy Chang, Jason Baldridge Parag Jain, Abhijit Mishra, Amar Prakash Azad, Karthik Sankaranarayanan NLP6611: Graph Based Translation Memory for Neural Machine Translation NLP4605: Translating with Bilingual Topic Knowledge for Mengzhou Xia, Guoping Huang, Lemao Liu, Shuming Shi Neural Machine Translation Xiangpeng Wei, Yue Hu, Luxi Xing, Yipeng Wang, Li Gao NLP6635: Enriching Word Embeddings with a Regressor Instead of Labeled Corpora NLP4743: Better Fine-Tuning via Instance Weighting for Text Mohamed Abdalla, Magnus Sahlgren, Graeme Hirst Classification Zhi Wang, Wei Bi, Yan Wang, Xiaojiang Liu NLP6886: A Deep Reinforcement Learning Based Multi-Step Coarse to Fine Question Answering (MSCQA) System NLP4802: Lattice CNNs for Matching Based Chinese Question Yu Wang, Hongxia Jin Answering Yuxuan Lai, Yansong Feng, Xiaohan Yu, Zheng Wang, Kun Xu, Dongyan NLP6940: Adapting Translation Models for Transcript Zhao Disfluency Detection Qianqian Dong, Feng Wang, Zhen Yang, Wei Chen, Shuang Xu, Bo Xu NLP5279: Unsupervised Learning Helps Supervised Neural Word Segmentation NLP7061: Story Ending Generation with Incremental Encoding Xiaobin Wang, Deng Cai, Linlin Li, Guangwei Xu, Hai Zhao, Luo Si and Commonsense Knowledge Jian Guan, Yansen Wang, Minlie Huang NLP5484: Chinese NER with Height-Limited Constituent Parsing NLP7138: A Hierarchical Multi-Task Approach for Learning Rui Wang, Xin Xin, Wei Chang, Kun Ming, Biao Li, Xin Fan Embeddings from Semantic Tasks Victor Sanh, Thomas Wolf, Sebastian Ruder NLP5729: Bidirectional Transition-Based Dependency Parsing Yunzhe Yuan, Yong Jiang, Kewei Tu NLP7195: CompareLDA: A Topic Model for Document Comparison NLP5754: Unsupervised Post-Processing of Word Vectors via Maksim Tkachenko, Hady W. Lauw Conceptor Negation Tianlin Liu, Lyle Ungar, João Sedoc NLP7220: Predicting the Argumenthood of English Prepositional Phrases NLP5894: What Is One Grain of Sand in the Desert? Analyzing Najoung Kim, Kyle Rawlins, Benjamin Van Durme , Paul Smolensky Individual Neurons in Deep NLP Models Fahim Dalvi, Nadir Durrani, Hassan Sajjad, Yonatan Belinkov, Anthony NLP7236: Revisiting LSTM Networks for Semi-Supervised Text Bau, James Glass Classification via Mixed Objective Function Devendra Singh Sachan, Manzil Zaheer, Ruslan Salakhutdinov NLP6057: Training Temporal Word Embeddings with a Compass NLP7242: Words Can Shift: Dynamically Adjusting Word Valerio Di Carlo, Federico Bianchi, Matteo Palmonari Representations Using Nonverbal Behaviors Yansen Wang, Ying Shen, Zhun Liu, Paul Pu Liang, Amir Zadeh, Louis- NLP6156: MNCN: A Multilingual Ngram-Based Convolutional Philippe Morency Network for Aspect Category Detection in Online Reviews Erfan Ghadery, Sajad Movahedi, Heshaam Faili, Azadeh Shakery NLP7354: Found in Translation: Learning Robust Joint Representations by Cyclic Translations between Modalities NLP6411: Fast and Simple Mixture of Softmaxes with BPE and Hai Pham, Paul Pu Liang, Thomas Manzini, Louis-Philippe Morency, Hybrid-LightRNN for Language Generation Barnabas Poczos Xiang Kong, Qizhe Xie, Zihang Dai, Eduard Hovy

NLP7440: A Deep Sequential Model for Discourse Parsing on RU4035: Compiling Bayesian Network Classifiers into Decision Multi-Party Dialogues Graphs Zhouxing Shi, Minlie Huang Andy Shih, Arthur Choi, Adnan Darwiche

NLP7545: Switch-LSTMs for Multi-Criteria Chinese Word RU4257: Optimizing Discount and Reputation Trade-Offs in E- Segmentation Commerce Systems: Characterization and Online Learning Jingjing Gong, Xinchi Chen, Tao Gui, Xipeng Qiu Hong Xie, Yongkun Li, John C. S. Lui

Planning, Routing, and Scheduling (PRS) RU4517: Robust Ordinal Embedding from Contaminated Relative Comparisons PRS591: Rotational Diversity in Multi-Cycle Assignment Ke Ma, Qianqian Xu, Xiaochun Cao Problems Helge Spieker, Arnaud Gotlieb, Morten Mossige RU5082: Exact and Approximate Weighted Model Integration with Probability Density Functions Using Knowledge Robotics (ROB) Compilation

ROB: 2186: Probabilistic Model Checking of Robots Deployed in Pedro Zuidberg Dos Martires, Anton Dries, Luc de Raedt Extreme Environments Xingyu Zhao, Valentin Robu, David Flynn, Fateme Dinmohammadi, RU5465: Path-Specific Counterfactual Fairness Michael Fisher, Matt Webster Silvia Chiappa

ROB: 3619: Depth Prediction without the Sensors: Leveraging RU5765: Counting and Sampling Markov Equivalent Directed Structure for Unsupervised Learning from Monocular Videos Acyclic Graphs Vincent Casser, Soeren Pirk, Reza Majhourian, Anelia Angelova Topi Talvitie, Mikko Koivisto

ROB: 4364: Visual Place Recognition via Robust l2-Norm RU5855: Collective Online Learning of Gaussian Processes in Distance Based Holism and Landmark Integration Massive Multi-Agent Systems Kai Liu, Hua Wang, Fei Han, Hao Zhang Trong Nghia Hoang, Quang Minh Hoang, Kian Hsiang Low, Jonathan How ROB: 5438: Personalized Robot Tutoring Using the Assistive Tutor POMDP (AT-POMDP) RU5952: Fast Relational Probabilistic Inference and Learning: Aditi Ramachandran, Sarah Strohkorb Sebo, Brian Scassellati Approximate Counting via Hypergraphs Mayukh Das, Devendra Singh Dhami, Gautam Kunapuli, Kristian ROB: 5917: That's Mine! Learning Ownership Relations and Kersting, Sriraam Natarajan

Norms for Robots RU5977: Lifted Hinge-Loss Markov Random Field Zong Xuan Tan, Jake Brawer, Brian Scassellati Sriram Srinivasan, Behrouz Babaki, Golnoosh Farnadi, Lise Getoor

ROB: 7891: Deictic Image Mapping: An Abstraction for RU5988: Robustness Guarantees for Bayesian Inference with Learning Pose Invariant Manipulation Policies Gaussian Processes Robert Platt, Colin Kohler, Marcus Gualtieri Luca Cardelli, Marta Kwiatkowska, Luca Laurenti, Andrea Patane

Reasoning under Uncertainty (RU) RU6105: Learning Diverse Bayesian Networks RU362: MFBO-SSM: Multi-Fidelity Bayesian Optimization for Cong Chen, Changhe Yuan Fast Inference in State-Space Models Mahdi Imani, Seyede Fatemeh Ghoreishi, Douglas Allaire, Ulisses M. RU6540: Structured Bayesian Networks: From Inference to Braga-Neto Learning with Routes Yujia Shen, Anchal Goyanka, Adnan Darwiche, Arthur Choi RU517: Polynomial-Time Probabilistic Reasoning with Partial Observations via Implicit Learning in Probability Logics RU6587: On Lifted Inference Using Neural Embeddings Brendan Juba Mohammad Maminur Islam, Somdeb Sarkhel, Deepak Venugopal

RU652: On Testing of Uniform Samplers RU7217: Marginal Inference in Continuous Markov Random Sourav Chakraborty, Kuldeep S. Meel Fields Using Mixtures Yuanzhen Guo, Hao Xiong, Nicholas Ruozzi RU679: On the Hardness of Probabilistic Inference Relaxations Supratik Chakraborty, Kuldeep S. Meel, Moshe Y. Vardi Vision (VIS)

VIS119: Weighted Channel Dropout for Regularization of Deep RU2372: Semi-Parametric Sampling for Stochasitc Bandits with Convolutional Neural Network Many Arms Saihui Hou, Zilei Wang Mingdong Ou, Nan Li, Cheng Yang, Shenghuo Zhu, Rong Jin

VIS233: Disentangled Variational Representation for RU3036: Dirichlet Multinomial Mixture with Variational Heterogeneous Face Recognition Manifold Regularization: Topic Modeling over Short Texts Xiang Wu, Huaibo Huang, Vishal M. Patel, Ran He, Zhenan Sun Ximing Li, Jiaojiao Zhang, Jihong Ouyang

VIS610: Recognizing Unseen Attribute-Object Pair with RU3722: Machine Teaching for Inverse Reinforcement Generative Model Learning: Algorithms and Applications Zhixiong Nan, Yang Liu, Nanning Zheng, Song-Chun Zhu Daniel S. Brown, Scott Niekum

VIS736: DDFlow: Learning Optical Flow with Unlabeled Data VIS3468: Learning Object Context for Dense Captioning Distillation Xiangyang Li, Shuqiang Jiang, Jungong Han Pengpeng Liu, Irwin King, Michael R. Lyu, Jia Xu VIS3538: Learning a Visual Tracker from a Single Movie VIS880: Learning a Deep Convolutional Network for without Annotation Colorization in Monochrome-Color Dual-Lens System Lingxiao Yang, David Zhang, Lei Zhang Xuan Dong, Weixin Li, Xiaojie Wang, Yunhong Wang VIS3574: Image Saliency Prediction in Transformed Domain: A VIS972: Safeguarded Dynamic Label Regression for Noisy Deep Complex Neural Network Method Supervision Lai Jiang, Zhe Wang, Mai Xu, Zulin Wang Jiangchao Yao, Hao Wu, Ya Zhang, Ivor W. Tsang, Jun Sun VIS4047: Learning Fully Dense Neural Networks for Image VIS985: Learning Basis Representation to Refine 3D Human Semantic Segmentation Pose Estimations Mingmin Zhen, Jinglu Wang, Lei Zhou, Tian Fang, Long Quan Chunyu Wang, Haibo Qiu, Alan L. Yuille, Wenjun Zeng VIS4048: Robust Deep Co-Saliency Detection with Group VIS1239: Mono3D++: Monocular 3D Vehicle Detection with Semantic Two-Scale 3D Hypotheses and Task Priors Chong Wang, Zheng-Jun Zha, Dong Liu, Hongtao Xie Tong He, Stefano Soatto VIS4105: Dual-View Ranking with Hardness Assessment for VIS1399: A Dual Attention Network with Semantic Embedding Zero-Shot Learning for Few-Shot Learning Yuchen Guo, Guiguang Ding, Jungong Han, Xiaohan Ding, Sicheng Zhao, Shipeng Yan, Songyang Zhang, Xuming He Zheng Wang, Chenggang Yan, Qionghai Dai

VIS1902: MR-NET: Exploiting Mutual Relation for Visual VIS5195: Multi-Attribute Transfer via Disentangled Relationship Detection Representation Yi Bin, Yang Yang, Chaofan Tao, Zi Huang, Jingjing Li, Heng Tao Shen Jianfu Zhang, Yuanyuan Huang, Yaoyi Li, Weijie Zhao, Liqing Zhang

VIS2210: Calibrated Stochastic Gradient Descent for VIS5358: PVRNet: Point-View Relation Neural Network for 3D Convolutional Neural Networks Shape Recognition Li'an Zhuo, Baochang Zhang, Chen Chen, Qixiang Ye, Jianzhuang Liu, Haoxuan You, Yifan Feng, Xibin Zhao, Changqing Zou, Rongrong Ji, Yue David Doermann Gao

VIS2665: Almost Unsupervised Learning for Dense Crowd VIS5390: Deliberate Attention Networks for Image Captioning Counting Lianli Gao, Kaixuan Fan, Jingkuan Song, Xianglong Liu, Xing Xu, Heng Deepak Babu Sam, Neeraj Nagaraj Sajjan, Himanshu Maurya, R. Tao Shen Venkatesh Babu VIS5540: Attention-Aware Sampling via Deep Reinforcement VIS2706: Depthwise Convolution is All You Need for Learning Learning for Action Recognition Multiple Visual Domains Wenkai Dong, Zhaoxiang Zhang, Tieniu Tan Yunhui Guo, Yandong Li, Liqiang Wang, Tajana Rosing VIS5768: Instance-Level Facial Attributes Transfer with VIS2815: Spatial Mixture Models with Learnable Deep Priors Geometry-Aware Flow for Perceptual Grouping Weidong Yin, Ziwei Liu, Chen Change Loy Jinyang Yuan, Bin Li, Xiangyang Xue VIS5773: Graph CNNs with Motif and Variable Temporal Block VIS3009: Residual Compensation Networks for Heterogeneous for Skeleton-Based Action Recognition Face Recognition Yu-Hui Wen, Lin Gao, Hongbo Fu, Fang-Lue Zhang, Shihong Xia Zhongying Deng, Xiaojiang Peng, Yu Qiao VIS5873: Skeleton-Based Gesture Recognition Using Several VIS3045: Dual Semi-Supervised Learning for Facial Action Unit Fully Connected Layers with Path Signature Features and Recognition Temporal Transformer Module Guozhu Peng, Shangfei Wang Chenyang Li, Xin Zhang, Lufan Liao, Lianwen Jin, Weixin Yang

VIS3241: A Framework to Coordinate Segmentation and VIS6316: Data Fine-Tuning Recognition Saheb Chhabra, Puspita Majumdar, Mayank Vatsa, Richa Singh Wei Huang, Huimin Yu, Weiwei Zheng, Jing Zhang VIS6793: PCGAN: Partition-Controlled Human Image VIS3300: Tensor Ring Decomposition with Rank Minimization Generation on Latent Space: An Efficient Approach for Tensor Completion Dong Liang, Rui Wang, Xiaowei Tian, Cong Zou Longhao Yuan, Chao Li, Danilo P. Mandic, Jianting Cao, Qibin Zhao VIS6992: Spatio-Temporal Graph Routing for Skeleton-Based VIS3362: Learning Attribute-Specific Representations for Action Recognition Visual Tracking Bin Li, Xi Li, Zhongfei Zhang, Fei Wu Yuankai Qi, Shengping Zhang, Weigang Zhang, Li Su, Qingming Huang, Ming-Hsuan Yang VIS7092: GaitSet: Regarding Gait as a Set for Cross-View Gait Recognition VIS3375: Learning Non-Uniform Hypergraph for Multi-Object Hanqing Chao, Yiwei He, Junping Zhang, JianFeng Feng Tracking Longyin Wen, Dawei Du, Shengkun Li, Xiao Bian, Siwei Lyu

VIS7147: Similarity Preserving Deep Asymmetric Quantization SA401: Variational BEJG Solvers for Marginal-MAP Inference for Image Retrieval with Accurate Approximation of B-conditional Entropy Junjie Chen, William K. Cheung Igor Kiselev

VIS7214: KVQA: Knowledge-Aware Visual Question Answering SA403: Meta-Path Augmented Response Generation Sanket Shah, Anand Mishra, Naganand Yadati, Partha Pratim Talukdar Yanran Li, Wenjie Li

VIS7837: A Robust and Efficient Algorithm for the PnL Problem SA410: Identifying Bottlenecks in Practical SAT-Based Model Using Algebraic Distance to Approximate the Reprojection Finding for First-Order Logic Ontologies with Datasets Distance Shirly Stephen, Torsten Hahmann Lipu Zhou, Yi Yang, Montiel Abello, Michael Kaess SA412: CSEye: A Proposed Solution for Accurate and Accessible VIS7976: Robust Estimation of Similarity Transformation for One-to-Many Face Verification Visual Object Tracking Ameer Dharamshi, Rosie Yuyan Zou Yang Li, Jianke Zhu, Steven C. H. Hoi, Wenjie Song, Zhefeng Wang, Hantang Liu SA413: Type Sequence Preserving Heterogeneous Information Network Embedding Student Abstracts Yuxin Chen, Tengjiao Wang, Wei Chen, Qiang Li, Zhen Qiu

SA350: Classifier-Agnostic Saliency Map Extraction SA416: Level Weighted Structural Similarity Loss: A Step Away Konrad Żołna, Krzysztof J. Geras, Kyunghyun Cho from MSE

Yingjing Lu SA351: Geometric Multi-Model Fitting by Deep Reinforcement Learning SA421: An Improved Hierarchical Datastructure for Nearest Zongliang Zhang, Hongbin Zeng, Jonathan Li, Yiping Chen, Chenhui Neighbor Search Yang, Cheng Wang Mengdie Nie, Zhi-Jie Wang, Chunjing Gan, Zhe Quan, Bin Yao, Jian Yin

SA353: DSINE: Deep Structural Influence Learning via Network SA423: Semi-Supervised Feature Selection with Adaptive Embedding Discriminant Analysis Jianjun Wu, Ying Sha, Bo Jiang, Jianlong Tan Weichan Zhong, Xiaojun Chen, Guowen Yuan, Yiqin Li, Feiping Nie

SA357: Desiderata for Interpretability: Explaining Decision SA429: Incorporating Context-Relevant Knowledge into Tree Predictions with Counterfactuals Convolutional Neural Networks for Short Text Classification Kacper Sokol, Peter Flach Jingyun Xu, Yi Cai

SA359: Towards Better Accuracy and Robustness with SA438: APRP: An Anonymous Propagation Method in Bitcoin Localized Adversarial Training Network Eitan Rothberg, Tingting Chen, Hao Ji Yuhang Yao, Xiao Zeng, Tianyue Cao, Luoyi Fu, Xinbing Wang

SA363: Semi-Supervised Learning for Electron Microscopy SA440: Strategic Tasks for Explainable Reinforcement Learning Image Segmentation Rey Pocius, Lawrence Neal, Alan Fern Eichi Takaya, Yusuke Takeichi, Mamiko Ozaki, Satoshi Kurihara SA454: An Adaptive Framework for Conversational Question SA367: Teaching Machines to Extract Main Content for Machine Answering Reading Comprehension Lixin Su, Jiafeng Guo, Yixing Fan, Yanyan Lan, Ruqing Zhang, Xueqi Zhaohui Li, Yue Feng, Jun Xu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng Cheng

SA371: Loss-Balanced Task Weighting to Reduce Negative SA478: Adaptive Optimization Framework for Control of Multi- Transfer in Multi-Task Learning Agent Systems Shengchao Liu, Yingyu Liang, Anthony Gitter Anna Lukina

SA372: Identifying Android Malware Using Network-Based SA480: Video-Based Sentiment Analysis with hvnLBP-TOP Approaches Feature and bi-LSTM Emily Alfs, Doina Caragea, Nathan Albin, Pietro Poggi-Corradini Haoran Li, Hua Xu

SA377: Towards Task Understanding in Visual Settings SA481: Matroid Constrained Fair Allocation Problem Sebastin Santy, Wazeer Zulfikar, Rishabh Mehrotra, Emine Yilmaz Arpita Biswas, Siddharth Barman

SA379: Reinforcement Learning under Threats Demos Victor Gallego, Roi Naveiro, David Rios Insua DEMO218: K3S: Knowledge-Driven Solution Support System SA384: MaMiC : Macro and Micro Curriculum for Robotic Yu Zhang, Morteza Saberi, Min Wang, Elizabeth Chang Reinforcement Learning Manan Tomar, Akhil Sathuluri, Balaraman Ravindran DEMO255: MAi: An Intelligent Model Acquisition Interface for Interactive Specification of Dialog Agents SA397: Partners in Crime: Manipulating the Deferred Tathagata Chakraborti, Christian Muise, Shubham Agarwal, Luis Lastras Acceptance Algorithm through an Accomplice Theodora Bendlin, Hadi Hosseini DEMO261: QADiver: Interactive Framework for Diagnosing QA Models Gyeongbok Lee, Sungdong Kim, Seung-won Hwang

DEMO335: Realtime Generation of Audible Textures Inspired DEMO354: Proppy: A System to Unmask Propaganda in Online by a Video Stream News Simone Mellace, Jérôme Guzzi, Alessandro Giusti, Luca M. Gambardella Alberto Barrón-Cedeño, Giovanni Da San Martino, Israa Jaradat, Preslav Nakov