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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 33 /

No. 1: AAAI-19, IAAI-19, EAAI-20

AAAI Technical Track: AI and the Web

  • VistaNet: Visual Aspect Attention Network for Multimodal Sentiment Analysis

    Quoc-Tuan Truong, Hady W. Lauw

    305-312

    PDF
  • UGSD: User Generated Sentiment Dictionaries from Online Customer Reviews

    Chun-Hsiang Wang, Kang-Chun Fan, Chuan-Ju Wang, Ming-Feng Tsai

    313-320

    PDF
  • Community Detection in Social Networks Considering Topic Correlations

    Yingkui Wang, Di Jin, Katarzyna Musial, Jianwu Dang

    321-328

    PDF
  • Community Focusing: Yet Another Query-Dependent Community Detection

    Zhuo Wang, Weiping Wang, Chaokun Wang, Xiaoyan Gu, Bo Li, Dan Meng

    329-337

    PDF
  • Multi-Level Deep Cascade Trees for Conversion Rate Prediction in Recommendation System

    Hong Wen, Jing Zhang, Quan Lin, Keping Yang, Pipei Huang

    338-345

    PDF
  • Session-Based Recommendation with Graph Neural Networks

    Shu Wu, Yuyuan Tang, Yanqiao Zhu, Liang Wang, Xing Xie, Tieniu Tan

    346-353

    PDF
  • CISI-net: Explicit Latent Content Inference and Imitated Style Rendering for Image Inpainting

    Jing Xiao, Liang Liao, Qiegen Liu, Ruimin Hu

    354-362

    PDF
  • Structured and Sparse Annotations for Image Emotion Distribution Learning

    Haitao Xiong, Hongfu Liu, Bineng Zhong, Yun Fu

    363-370

    PDF
  • Multi-Interactive Memory Network for Aspect Based Multimodal Sentiment Analysis

    Nan Xu, Wenji Mao, Guandan Chen

    371-378

    PDF
  • Multi-View Information-Theoretic Co-Clustering for Co-Occurrence Data

    Peng Xu, Zhaohong Deng, Kup-Sze Choi, Longbing Cao, Shitong Wang

    379-386

    PDF
  • Context-Aware Self-Attention Networks

    Baosong Yang, Jian Li, Derek F. Wong, Lidia S. Chao, Xing Wang, Zhaopeng Tu

    387-394

    PDF
  • Adversarial Training for Community Question Answer Selection Based on Multi-Scale Matching

    Xiao Yang, Madian Khabsa, Miaosen Wang, Wei Wang, Ahmed Hassan Awadallah, Daniel Kifer, C. Lee Giles

    395-402

    PDF
  • TransNFCM: Translation-Based Neural Fashion Compatibility Modeling

    Xun Yang, Yunshan Ma, Lizi Liao, Meng Wang, Tat-Seng Chua

    403-410

    PDF
  • Data Augmentation Based on Adversarial Autoencoder Handling Imbalance for Learning to Rank

    Qian Yu, Wai Lam

    411-418

    PDF
  • Cross-Relation Cross-Bag Attention for Distantly-Supervised Relation Extraction

    Yujin Yuan, Liyuan Liu, Siliang Tang, Zhongfei Zhang, Yueting Zhuang, Shiliang Pu, Fei Wu, Xiang Ren

    419-426

    PDF
  • Text Assisted Insight Ranking Using Context-Aware Memory Network

    Qi Zeng, Liangchen Luo, Wenhao Huang, Yang Tang

    427-434

    PDF
  • Hierarchical Reinforcement Learning for Course Recommendation in MOOCs

    Jing Zhang, Bowen Hao, Bo Chen, Cuiping Li, Hong Chen, Jimeng Sun

    435-442

    PDF
  • Regularizing Neural Machine Translation by Target-Bidirectional Agreement

    Zhirui Zhang, Shuangzhi Wu, Shujie Liu, Mu Li, Ming Zhou, Tong Xu

    443-450

    PDF
  • Addressing the Under-Translation Problem from the Entropy Perspective

    Yang Zhao, Jiajun Zhang, Chengqing Zong, Zhongjun He, Hua Wu

    451-458

    PDF
  • Robust Online Matching with User Arrival Distribution Drift

    Yu-Hang Zhou, Chen Liang, Nan Li, Cheng Yang, Shenghuo Zhu, Rong Jin

    459-466

    PDF
  • Exploiting Background Knowledge in Compact Answer Generation for Why-Questions

    Ryu Iida, Canasai Kruengkrai, Ryo Ishida, Kentaro Torisawa, Jong-Hoon Oh, Julien Kloetzer

    142-151

    PDF
  • Graph Convolutional Networks Meet Markov Random Fields: Semi-Supervised Community Detection in Attribute Networks

    Di Jin, Ziyang Liu, Weihao Li, Dongxiao He, Weixiong Zhang

    152-159

    PDF
  • Incorporating Network Embedding into Markov Random Field for Better Community Detection

    Di Jin, Xinxin You, Weihao Li, Dongxiao He, Peng Cui, Françoise Fogelman-Soulié, Tanmoy Chakraborty

    160-167

    PDF
  • Crawling the Community Structure of Multiplex Networks

    Ricky Laishram, Jeremy D. Wendt, Sucheta Soundarajan

    168-175

    PDF
  • Coupled CycleGAN: Unsupervised Hashing Network for Cross-Modal Retrieval

    Chao Li, Cheng Deng, Lei Wang, De Xie, Xianglong Liu

    176-183

    PDF
  • Supervised User Ranking in Signed Social Networks

    Xiaoming Li, Hui Fang, Jie Zhang

    184-191

    PDF
  • Personalized Question Routing via Heterogeneous Network Embedding

    Zeyu Li, Jyun-Yu Jiang, Yizhou Sun, Wei Wang

    192-199

    PDF
  • Popularity Prediction on Online Articles with Deep Fusion of Temporal Process and Content Features

    Dongliang Liao, Jin Xu, Gongfu Li, Weijie Huang, Weiqing Liu, Jing Li

    200-207

    PDF
  • Discrete Social Recommendation

    Chenghao Liu, Xin Wang, Tao Lu, Wenwu Zhu, Jianling Sun, Steven Hoi

    208-215

    PDF
  • SNR: Sub-Network Routing for Flexible Parameter Sharing in Multi-Task Learning

    Jiaqi Ma, Zhe Zhao, Jilin Chen, Ang Li, Lichan Hong, Ed H. Chi

    216-223

    PDF
  • DTMT: A Novel Deep Transition Architecture for Neural Machine Translation

    Fandong Meng, Jinchao Zhang

    224-231

    PDF
  • Multi-Perspective Relevance Matching with Hierarchical ConvNets for Social Media Search

    Jinfeng Rao, Wei Yang, Yuhao Zhang, Ferhan Ture, Jimmy Lin

    232-240

    PDF
  • Unsupervised Neural Machine Translation with SMT as Posterior Regularization

    Shuo Ren, Zhirui Zhang, Shujie Liu, Ming Zhou, Shuai Ma

    241-248

    PDF
  • Mining Entity Synonyms with Efficient Neural Set Generation

    Jiaming Shen, Ruiliang Lyu, Xiang Ren, Michelle Vanni, Brian Sadler, Jiawei Han

    249-256

    PDF
  • Surveys without Questions: A Reinforcement Learning Approach

    Atanu R Sinha, Deepali Jain, Nikhil Sheoran, Sopan Khosla, Reshmi Sasidharan

    257-264

    PDF
  • ATP: Directed Graph Embedding with Asymmetric Transitivity Preservation

    Jiankai Sun, Bortik Bandyopadhyay, Armin Bashizade, Jiongqian Liang, P. Sadayappan, Srinivasan Parthasarathy

    265-272

    PDF
  • Learning from Web Data Using Adversarial Discriminative Neural Networks for Fine-Grained Classification

    Xiaoxiao Sun, Liyi Chen, Jufeng Yang

    273-280

    PDF
  • Meimei: An Efficient Probabilistic Approach for Semantically Annotating Tables

    Kunihiro Takeoka, Masafumi Oyamada, Shinji Nakadai, Takeshi Okadome

    281-288

    PDF
  • DeepTileBars: Visualizing Term Distribution for Neural Information Retrieval

    Zhiwen Tang, Grace Hui Yang

    289-296

    PDF
  • Entity Alignment between Knowledge Graphs Using Attribute Embeddings

    Bayu Distiawan Trisedya, Jianzhong Qi, Rui Zhang

    297-304

    PDF
  • Incorporating Behavioral Constraints in Online AI Systems

    Avinash Balakrishnan, Djallel Bouneffouf, Nicholas Mattei, Francesca Rossi

    44996

    PDF
  • Outlier Aware Network Embedding for Attributed Networks

    Sambaran Bandyopadhyay, N. Lokesh, M. N. Murty

    45279

    PDF
  • Comparative Document Summarisation via Classification

    Umanga Bista, Alexander Mathews, Minjeong Shin, Aditya Krishna Menon, Lexing Xie

    20-28

    PDF
  • ColNet: Embedding the Semantics of Web Tables for Column Type Prediction

    Jiaoyan Chen, Ernesto Jiménez-Ruiz, Ian Horrocks, Charles Sutton

    29-36

    PDF
  • Improving One-Class Collaborative Filtering via Ranking-Based Implicit Regularizer

    Jin Chen, Defu Lian, Kai Zheng

    37-44

    PDF
  • Answer Identification from Product Reviews for User Questions by Multi-Task Attentive Networks

    Long Chen, Ziyu Guan, Wei Zhao, Wanqing Zhao, Xiaopeng Wang, Zhou Zhao, Huan Sun

    45-52

    PDF
  • Dynamic Explainable Recommendation Based on Neural Attentive Models

    Xu Chen, Yongfeng Zhang, Zheng Qin

    53-60

    PDF
  • DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System

    Zhi-Hong Deng, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu

    61-68

    PDF
  • TableSense: Spreadsheet Table Detection with Convolutional Neural Networks

    Haoyu Dong, Shijie Liu, Shi Han, Zhouyu Fu, Dongmei Zhang

    69-76

    PDF
  • Triple Classification Using Regions and Fine-Grained Entity Typing

    Tiansi Dong, Zhigang Wang, Juanzi Li, Christian Bauckhage, Armin B. Cremers

    77-85

    PDF
  • Dynamic Layer Aggregation for Neural Machine Translation with Routing-by-Agreement

    Zi-Yi Dou, Zhaopeng Tu, Xing Wang, Longyue Wang, Shuming Shi, Tong Zhang

    86-93

    PDF
  • Deeply Fusing Reviews and Contents for Cold Start Users in Cross-Domain Recommendation Systems

    Wenjing Fu, Zhaohui Peng, Senzhang Wang, Yang Xu, Jin Li

    94-101

    PDF
  • Feature Sampling Based Unsupervised Semantic Clustering for Real Web Multi-View Content

    Xiaolong Gong, Linpeng Huang, Fuwei Wang

    102-109

    PDF
  • Cooperative Multimodal Approach to Depression Detection in Twitter

    Tao Gui, Liang Zhu, Qi Zhang, Minlong Peng, Xu Zhou, Keyu Ding, Zhigang Chen

    110-117

    PDF
  • Anchors Bring Ease: An Embarrassingly Simple Approach to Partial Multi-View Clustering

    Jun Guo, Jiahui Ye

    118-125

    PDF
  • Y2Seq2Seq: Cross-Modal Representation Learning for 3D Shape and Text by Joint Reconstruction and Prediction of View and Word Sequences

    Zhizhong Han, Mingyang Shang, Xiyang Wang, Yu-Shen Liu, Matthias Zwicker

    126-133

    PDF
  • Learning to Align Question and Answer Utterances in Customer Service Conversation with Recurrent Pointer Networks

    Shizhu He, Kang Liu, Weiting An

    134-141

    PDF

AAAI Special Technical Track: AI for Social Impact

  • Detecting Incongruity between News Headline and Body Text via a Deep Hierarchical Encoder

    Seunghyun Yoon, Kunwoo Park, Joongbo Shin, Hongjun Lim, Seungpil Won, Meeyoung Cha, Kyomin Jung

    791-800

    PDF
  • EnsNet: Ensconce Text in the Wild

    Shuaitao Zhang, Yuliang Liu, Lianwen Jin, Yaoxiong Huang, Songxuan Lai

    801-808

    PDF
  • Weakly-Supervised Simultaneous Evidence Identification and Segmentation for Automated Glaucoma Diagnosis

    Rongchang Zhao, Wangmin Liao, Beiji Zou, Zailiang Chen, Shuo Li

    809-816

    PDF
  • A Neural Multi-Task Learning Framework to Jointly Model Medical Named Entity Recognition and Normalization

    Sendong Zhao, Ting Liu, Sicheng Zhao, Fei Wang

    817-824

    PDF
  • Exploiting Time-Series Image-to-Image Translation to Expand the Range of Wildlife Habitat Analysis

    Ruobing Zheng, Ze Luo, Baoping Yan

    825-832

    PDF
  • ReAl-LiFE: Accelerating the Discovery of Individualized Brain Connectomes on GPUs

    Sawan Kumar, Varsha Sreenivasan, Partha Talukdar, Franco Pestilli, Devarajan Sridharan

    630-638

    PDF
  • Latent Dirichlet Allocation for Internet Price War

    Chenchen Li, Xiang Yan, Xiaotie Deng, Yuan Qi, Wei Chu, Le Song, Junlong Qiao, Jianshan He, Junwu Xiong

    639-646

    PDF
  • Deep Hierarchical Graph Convolution for Election Prediction from Geospatial Census Data

    Mike Li, Elija Perrier, Chang Xu

    647-654

    PDF
  • Who Blames Whom in a Crisis? Detecting Blame Ties from News Articles Using Neural Networks

    Shuailong Liang, Olivia Nicol, Yue Zhang

    655-662

    PDF
  • Convex Formulations for Fair Principal Component Analysis

    Matt Olfat, Anil Aswani

    663-670

    PDF
  • Violence Rating Prediction from Movie Scripts

    Victor R. Martinez, Krishna Somandepalli, Karan Singla, Anil Ramakrishna, Yalda T. Uhls, Shrikanth Narayanan

    671-678

    PDF
  • Image Aesthetic Assessment Assisted by Attributes through Adversarial Learning

    Bowen Pan, Shangfei Wang, Qisheng Jiang

    679-686

    PDF
  • A Model-Free Affective Reinforcement Learning Approach to Personalization of an Autonomous Social Robot Companion for Early Literacy Education

    Hae Won Park, Ishaan Grover, Samuel Spaulding, Louis Gomez, Cynthia Breazeal

    687-694

    PDF
  • Emergency Department Online Patient-Caregiver Scheduling

    Hanan Rosemarin,Ariel Rosenfeld,Sarit Kraus

    695-701

    PDF
  • Multi3Net: Segmenting Flooded Buildings via Fusion of Multiresolution, Multisensor, and Multitemporal Satellite Imagery

    Tim G. J. Rudner, Marc Rußwurm, Jakub Fil, Ramona Pelich, Benjamin Bischke, Veronika Kopačková, Piotr Biliński

    702-709

    PDF
  • Learning to Address Health Inequality in the United States with a Bayesian Decision Network

    Tavpritesh Sethi, Anant Mittal, Shubham Maheshwari, Samarth Chugh

    710-717

    PDF
  • Axiomatic Characterization of Data-Driven Influence Measures for Classification

    Jakub Sliwinski, Martin Strobel, Yair Zick

    718-725

    PDF
  • Hotels-50K: A Global Hotel Recognition Dataset

    Abby Stylianou, Hong Xuan, Maya Shende, Jonathan Brandt, Richard Souvenir, Robert Pless

    726-733

    PDF
  • A Study of Educational Data Mining: Evidence from a Thai University

    Ruangsak Trakunphutthirak, Yen Cheung, Vincent C. S. Lee

    734-741

    PDF
  • AutoZOOM: Autoencoder-Based Zeroth Order Optimization Method for Attacking Black-Box Neural Networks

    Chun-Chen Tu, Paishun Ting, Pin-Yu Chen, Sijia Liu, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh, Shin-Ming Cheng

    742-749

    PDF
  • Knowledge Tracing Machines: Factorization Machines for Knowledge Tracing

    Jill-Jenn Vie, Hisashi Kashima

    750-757

    PDF
  • Forbidden Nodes Aware Community Search

    Chaokun Wang, Junchao Zhu

    758-765

    PDF
  • Bidirectional Inference Networks:A Class of Deep Bayesian Networks for Health Profiling

    Hao Wang, Chengzhi Mao, Hao He, Mingmin Zhao, Tommi S. Jaakkola, Dina Katabi

    766-773

    PDF
  • DeepETA: A Spatial-Temporal Sequential Neural Network Model for Estimating Time of Arrival in Package Delivery System

    Fan Wu, Lixia Wu

    774-781

    PDF
  • Zero Shot Learning for Code Education: Rubric Sampling with Deep Learning Inference

    Mike Wu, Milan Mosse, Noah Goodman, Chris Piech

    782-790

    PDF
  • Predicting Hurricane Trajectories Using a Recurrent Neural Network

    Sheila Alemany, Jonathan Beltran, Adrian Perez, Sam Ganzfried

    468-475

    PDF
  • Automatic Detection and Compression for Passive Acoustic Monitoring of the African Forest Elephant

    Johan Bjorck, Brendan H. Rappazzo, Di Chen, Richard Bernstein, Peter H. Wrege, Carla P. Gomes

    476-484

    PDF
  • Gated Residual Recurrent Graph Neural Networks for Traffic Prediction

    Cen Chen, Kenli Li, Sin G. Teo, Xiaofeng Zou, Kang Wang, Jie Wang, Zeng Zeng

    485-492

    PDF
  • Bias Reduction via End-to-End Shift Learning: Application to Citizen Science

    Di Chen, Carla P. Gomes

    493-500

    PDF
  • Coverage Centrality Maximization in Undirected Networks

    Gianlorenzo D’Angelo, Martin Olsen, Lorenzo Severini

    501-508

    PDF
  • Bayesian Fairness

    Christos Dimitrakakis, Yang Liu, David C. Parkes, Goran Radanovic

    509-516

    PDF
  • Understanding Dropouts in MOOCs

    Wenzheng Feng, Jie Tang, Tracy Xiao Liu

    517-524

    PDF
  • Blameworthiness in Multi-Agent Settings

    Meir Friedenberg, Joseph Y. Halpern

    525-532

    PDF
  • Optimal Surveillance of Covert Networks by Minimizing Inverse Geodesic Length

    Serge Gaspers, Kamran Najeebullah

    533-540

    PDF
  • Resisting Adversarial Attacks Using Gaussian Mixture Variational Autoencoders

    Partha Ghosh, Arpan Losalka, Michael J. Black

    541-548

    PDF
  • Migration as Submodular Optimization

    Paul Gölz, Ariel D. Procaccia

    549-556

    PDF
  • PGANs: Personalized Generative Adversarial Networks for ECG Synthesis to Improve Patient-Specific Deep ECG Classification

    Tomer Golany, Kira Radinsky

    557-564

    PDF
  • Selecting Compliant Agents for Opt-in Micro-Tolling

    Josiah P. Hanna, Guni Sharon, Stephen D. Boyles, Peter Stone

    565-572

    PDF
  • HireNet: A Hierarchical Attention Model for the Automatic Analysis of Asynchronous Video Job Interviews

    Léo Hemamou, Ghazi Felhi, Vincent Vandenbussche, Jean-Claude Martin, Chloé Clavel

    573-581

    PDF
  • Learning Diffusions without Timestamps

    Hao Huang, Qian Yan, Ting Gan, Di Niu, Wei Lu, Yunjun Gao

    582-589

    PDF
  • CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison

    Jeremy Irvin, Pranav Rajpurkar, Michael Ko, Yifan Yu, Silviana Ciurea-Ilcus, Chris Chute, Henrik Marklund, Behzad Haghgoo, Robyn Ball, Katie Shpanskaya, Jayne Seekins, David A. Mong, Safwan S. Halabi, Jesse K. Sandberg, Ricky Jones, David B. Larson, Curtis P. Langlotz, Bhavik N. Patel, Matthew P. Lungren, Andrew Y. Ng

    590-597

    PDF
  • Evolutionarily Learning Multi-Aspect Interactions and Influences from Network Structure and Node Content

    Songlei Jian, Liang Hu, Longbing Cao, Kai Lu, Hang Gao

    598-605

    PDF
  • Multi-GCN: Graph Convolutional Networks for Multi-View Networks, with Applications to Global Poverty

    Muhammad Raza Khan, Joshua E. Blumenstock

    606-613

    PDF
  • Algorithms for Estimating Trends in Global Temperature Volatility

    Arash Khodadadi, Daniel J. McDonald

    614-621

    PDF
  • Allocating Interventions Based on Predicted Outcomes: A Case Study on Homelessness Services

    Amanda Kube, Sanmay Das, Patrick J. Fowler

    622-629

    PDF

AAAI Technical Track: Applications

  • SAFE: A Neural Survival Analysis Model for Fraud Early Detection

    Panpan Zheng, Shuhan Yuan, Xintao Wu

    1278-1285

    PDF
  • One-Class Adversarial Nets for Fraud Detection

    Panpan Zheng, Shuhan Yuan, Xintao Wu, Jun Li, Aidong Lu

    1286-1293

    PDF
  • DeepDPM: Dynamic Population Mapping via Deep Neural Network

    Zefang Zong, Jie Feng, Kechun Liu, Hongzhi Shi, Yong Li

    1294-1301

    PDF
  • PhoneMD: Learning to Diagnose Parkinson’s Disease from Smartphone Data

    Patrick Schwab, Walter Karlen

    1118-1125

    PDF
  • GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination

    Junyuan Shang, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun

    1126-1133

    PDF
  • The Kelly Growth Optimal Portfolio with Ensemble Learning

    Weiwei Shen, Bin Wang, Jian Pu, Jun Wang

    1134-1141

    PDF
  • Spatiality Preservable Factored Poisson Regression for Large-Scale Fine-Grained GPS-Based Population Analysis

    Masamichi Shimosaka, Yuta Hayakawa, Kota Tsubouchi

    1142-1149

    PDF
  • Subtask Gated Networks for Non-Intrusive Load Monitoring

    Changho Shin, Sunghwan Joo, Jaeryun Yim, Hyoseop Lee, Taesup Moon, Wonjong Rhee

    1150-1157

    PDF
  • Improving Search with Supervised Learning in Trick-Based Card Games

    Christopher Solinas, Douglas Rebstock, Michael Buro

    1158-1165

    PDF
  • Exploiting the Contagious Effect for Employee Turnover Prediction

    Mingfei Teng, Hengshu Zhu, Chuanren Liu, Chen Zhu, Hui Xiong

    1166-1173

    PDF
  • PerformanceNet: Score-to-Audio Music Generation with Multi-Band Convolutional Residual Network

    Bryan Wang, Yi-Hsuan Yang

    1174-1181

    PDF
  • Differentially Private Empirical Risk Minimization with Smooth Non-Convex Loss Functions: A Non-Stationary View

    Di Wang, Jinhui Xu

    1182-1189

    PDF
  • Private Model Compression via Knowledge Distillation

    Ji Wang, Weidong Bao, Lichao Sun, Xiaomin Zhu, Bokai Cao, Philip S. Yu

    1190-1197

    PDF
  • Functional Connectivity Network Analysis with Discriminative Hub Detection for Brain Disease Identification

    Mingliang Wang, Jiashuang Huang, Mingxia Liu, Daoqiang Zhang

    1198-1205

    PDF
  • Hierarchical Macro Strategy Model for MOBA Game AI

    Bin Wu

    1206-1213

    PDF
  • G2C: A Generator-to-Classifier Framework Integrating Multi-Stained Visual Cues for Pathological Glomerulus Classification

    Bingzhe Wu, Xiaolu Zhang, Shiwan Zhao, Lingxi Xie, Caihong Zeng, Zhihong Liu, Guangyu Sun

    1214-1221

    PDF
  • On Strength Adjustment for MCTS-Based Programs

    I-Chen Wu, Ti-Rong Wu, An-Jen Liu, Hung Guei, Tinghan Wei

    1222-1229

    PDF
  • A2-Net: Molecular Structure Estimation from Cryo-EM Density Volumes

    Kui Xu, Zhe Wang, Jianping Shi, Hongsheng Li, Qiangfeng Cliff Zhang

    1230-1237

    PDF
  • TET-GAN: Text Effects Transfer via Stylization and Destylization

    Shuai Yang, Jiaying Liu, Wenjing Wang, Zongming Guo

    1238-1245

    PDF
  • Learning Phenotypes and Dynamic Patient Representations via RNN Regularized Collective Non-Negative Tensor Factorization

    Kejing Yin, Dong Qian, William K. Cheung, Benjamin C. M. Fung, Jonathan Poon

    1246-1253

    PDF
  • MetaStyle: Three-Way Trade-off among Speed, Flexibility, and Quality in Neural Style Transfer

    Chi Zhang, Yixin Zhu, Song-Chun Zhu

    1254-1261

    PDF
  • Optimal Interdiction of Urban Criminals with the Aid of Real-Time Information

    Youzhi Zhang, Qingyu Guo, Bo An, Long Tran-Thanh, Nicholas R. Jennings

    1262-1269

    PDF
  • Incorporating Semantic Similarity with Geographic Correlation for Query-POI Relevance Learning

    Ji Zhao, Dan Peng, Chuhan Wu, Huan Chen, Meiyu Yu, Wanji Zheng, Li Ma, Hua Chai, Jieping Ye, Xiaohu Qie

    1270-1277

    PDF
  • Combo-Action: Training Agent For FPS Game with Auxiliary Tasks

    Shiyu Huang, Hang Su, Jun Zhu, Ting Chen

    954-961

    PDF
  • Connecting the Digital and Physical World: Improving the Robustness of Adversarial Attacks

    Steve T.K. Jan, Joseph Messou, Yen-Chen Lin, Jia-Bin Huang, Gang Wang

    962-969

    PDF
  • A Memetic Approach for Sequential Security Games on a Plane with Moving Targets

    Jan Karwowski, Jacek Mańdziuk, Adam Żychowski, Filip Grajek, Bo An

    970-977

    PDF
  • Crash to Not Crash: Learn to Identify Dangerous Vehicles Using a Simulator

    Hoon Kim, Kangwook Lee, Gyeongjo Hwang, Changho Suh

    978-985

    PDF
  • Traffic Updates: Saying a Lot While Revealing a Little

    John Krumm, Eric Horvitz

    986-995

    PDF
  • Adversarial Learning for Weakly-Supervised Social Network Alignment

    Chaozhuo Li, Senzhang Wang, Yukun Wang, Philip Yu, Yanbo Liang, Yun Liu, Zhoujun Li

    996-1003

    PDF
  • Learning Heterogeneous Spatial-Temporal Representation for Bike-Sharing Demand Prediction

    Youru Li, Zhenfeng Zhu, Deqiang Kong, Meixiang Xu, Yao Zhao

    1004-1011

    PDF
  • SEGAN: Structure-Enhanced Generative Adversarial Network for Compressed Sensing MRI Reconstruction

    Zhongnian Li, Tao Zhang, Peng Wan, Daoqiang Zhang

    1012-1019

    PDF
  • DeepSTN+: Context-Aware Spatial-Temporal Neural Network for Crowd Flow Prediction in Metropolis

    Ziqian Lin, Jie Feng, Ziyang Lu, Yong Li, Depeng Jin

    1020-1027

    PDF
  • Perceptual-Sensitive GAN for Generating Adversarial Patches

    Aishan Liu, Xianglong Liu, Jiaxin Fan, Yuqing Ma, Anlan Zhang, Huiyuan Xie, Dacheng Tao

    1028-1035

    PDF
  • Joint Representation Learning for Multi-Modal Transportation Recommendation

    Hao Liu, Ting Li, Renjun Hu, Yanjie Fu, Jingjing Gu, Hui Xiong

    1036-1043

    PDF
  • DeepFuzz: Automatic Generation of Syntax Valid C Programs for Fuzz Testing

    Xiao Liu, Xiaoting Li, Rupesh Prajapati, Dinghao Wu

    1044-1051

    PDF
  • Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective

    Chengqiang Lu, Qi Liu, Chao Wang, Zhenya Huang, Peize Lin, Lixin He

    1052-1060

    PDF
  • Play as You Like: Timbre-Enhanced Multi-Modal Music Style Transfer

    Chien-Yu Lu, Min-Xin Xue, Chia-Che Chang, Che-Rung Lee, Li Su

    1061-1068

    PDF
  • AffinityNet: Semi-Supervised Few-Shot Learning for Disease Type Prediction

    Tianle Ma, Aidong Zhang

    1069-1076

    PDF
  • Scalable Robust Kidney Exchange

    Duncan C McElfresh, Hoda Bidkhori, John P Dickerson

    1077-1084

    PDF
  • Difficulty-Aware Attention Network with Confidence Learning for Medical Image Segmentation

    Dong Nie, Li Wang, Lei Xiang, Sihang Zhou, Ehsan Adeli, Dinggang Shen

    1085-1092

    PDF
  • Pathological Evidence Exploration in Deep Retinal Image Diagnosis

    Yuhao Niu, Lin Gu, Feng Lu, Feifan Lv, Zongji Wang, Imari Sato, Zijian Zhang, Yangyan Xiao, Xunzhang Dai, Tingting Cheng

    1093-1101

    PDF
  • Building Causal Graphs from Medical Literature and Electronic Medical Records

    Galia Nordon, Gideon Koren, Varda Shalev, Benny Kimelfeld, Uri Shalit, Kira Radinsky

    1102-1109

    PDF
  • NeVAE: A Deep Generative Model for Molecular Graphs

    Bidisha Samanta, Abir DE, Gourhari Jana, Pratim Kumar Chattaraj, Niloy Ganguly, Manuel Gomez Rodriguez

    1110-1117

    PDF
  • Adversarial Unsupervised Representation Learning for Activity Time-Series

    Karan Aggarwal, Shafiq Joty, Luis Fernandez-Luque, Jaideep Srivastava

    834-841

    PDF
  • Beyond Speech: Generalizing D-Vectors for Biometric Verification

    Jacob Baldwin, Ryan Burnham, Andrew Meyer, Robert Dora, Robert Wright

    842-849

    PDF
  • Deep Latent Generative Models for Energy Disaggregation

    Gissella Bejarano, David DeFazio, Arti Ramesh

    850-857

    PDF
  • Predicting Concrete and Abstract Entities in Modern Poetry

    Fiammetta Caccavale, Anders Søgaard

    858-864

    PDF
  • Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation

    Cheng Chen, Qi Dou, Hao Chen, Jing Qin, Pheng-Ann Heng

    865-872

    PDF
  • Region-Based Message Exploration over Spatio-Temporal Data Streams

    Lisi Chen, Shuo Shang

    873-880

    PDF
  • Deriving Subgoals Autonomously to Accelerate Learning in Sparse Reward Domains

    Michael Dann, Fabio Zambetta, John Thangarajah

    881-889

    PDF
  • Dynamic Spatial-Temporal Graph Convolutional Neural Networks for Traffic Forecasting

    Zulong Diao, Xin Wang, Dafang Zhang, Yingru Liu, Kun Xie, Shaoyao He

    890-897

    PDF
  • Turbo Learning Framework for Human-Object Interactions Recognition and Human Pose Estimation

    Wei Feng, Wentao Liu, Tong Li, Jing Peng, Chen Qian, Xiaolin Hu

    898-905

    PDF
  • Efficient Region Embedding with Multi-View Spatial Networks: A Perspective of Locality-Constrained Spatial Autocorrelations

    Yanjie Fu, Pengyang Wang, Jiadi Du, Le Wu, Xiaolin Li

    906-913

    PDF
  • VidyutVanika: A Reinforcement Learning Based Broker Agent for a Power Trading Competition

    Susobhan Ghosh, Easwar Subramanian, Sanjay P. Bhat, Sujit Gujar, Praveen Paruchuri

    914-921

    PDF
  • Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting

    Shengnan Guo, Youfang Lin, Ning Feng, Chao Song, Huaiyu Wan

    922-929

    PDF
  • Deep Reinforcement Learning for Syntactic Error Repair in Student Programs

    Rahul Gupta, Aditya Kanade, Shirish Shevade

    930-937

    PDF
  • Exploiting Sentence Embedding for Medical Question Answering

    Yu Hao, Xien Liu, Ji Wu, Ping Lv

    938-945

    PDF
  • Cash-Out User Detection Based on Attributed Heterogeneous Information Network with a Hierarchical Attention Mechanism

    Binbin Hu, Zhiqiang Zhang, Chuan Shi, Jun Zhou, Xiaolong Li, Yuan Qi

    946-953

    PDF

AAAI Technical Track: Cognitive Modeling

  • Cognitive Deficit of Deep Learning in Numerosity

    Xiaolin Wu, Xi Zhang, Xiao Shu

    1303-1310

    PDF
  • Direct Training for Spiking Neural Networks: Faster, Larger, Better

    Yujie Wu, Lei Deng, Guoqi Li, Jun Zhu, Yuan Xie, Luping Shi

    1311-1318

    PDF
  • TDSNN: From Deep Neural Networks to Deep Spike Neural Networks with Temporal-Coding

    Lei Zhang, Shengyuan Zhou, Tian Zhi, Zidong Du, Yunji Chen

    1319-1326

    PDF
  • MPD-AL: An Efficient Membrane Potential Driven Aggregate-Label Learning Algorithm for Spiking Neurons

    Malu Zhang, Jibin Wu, Yansong Chua, Xiaoling Luo, Zihan Pan, Dan Liu, Haizhou Li

    1327-1334

    PDF

AAAI Technical Track: Cognitive Systems

  • Human-Like Sketch Object Recognition via Analogical Learning

    Kezhen Chen, Irina Rabkina, Matthew D. McLure, Kenneth D. Forbus

    1336-1343

    PDF
  • Attentive Tensor Product Learning

    Qiuyuan Huang, Li Deng, Dapeng Wu, Chang Liu, Xiaodong He

    1344-1351

    PDF
  • Scalable Recollections for Continual Lifelong Learning

    Matthew Riemer, Tim Klinger, Djallel Bouneffouf, Michele Franceschini

    1352-1359

    PDF
  • Simulation-Based Approach to Efficient Commonsense Reasoning in Very Large Knowledge Bases

    Abhishek Sharma, Keith M. Goolsbey

    1360-1367

    PDF
  • Modelling Autobiographical Memory Loss across Life Span

    Di Wang, Ah-Hwee Tan, Chunyan Miao, Ahmed A. Moustafa

    1368-1375

    PDF

AAAI Technical Track: Computational Sustainability

  • Deep Bayesian Optimization on Attributed Graphs

    Jiaxu Cui, Bo Yang, Xia Hu

    1377-1384

    PDF
  • Interpretable Predictive Modeling for Climate Variables with Weighted Lasso

    Sijie He, Xinyan Li, Vidyashankar Sivakumar, Arindam Banerjee

    1385-1392

    PDF
  • A Deep Reinforcement Learning Framework for Rebalancing Dockless Bike Sharing Systems

    Ling Pan, Qingpeng Cai, Zhixuan Fang, Pingzhong Tang, Longbo Huang

    1393-1400

    PDF
  • Deep Reinforcement Learning for Green Security Games with Real-Time Information

    Yufei Wang, Zheyuan Ryan Shi, Lantao Yu, Yi Wu, Rohit Singh, Lucas Joppa, Fei Fang

    1401-1408

    PDF
  • A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data

    Chuxu Zhang, Dongjin Song, Yuncong Chen, Xinyang Feng, Cristian Lumezanu, Wei Cheng, Jingchao Ni, Bo Zong, Haifeng Chen, Nitesh V. Chawla

    1409-1416

    PDF

AAAI Technical Track: Constraint Satisfaction and Optimization

  • Concurrency Debugging with MaxSMT

    Miguel Terra-Neves, Nuno Machado, Ines Lynce, Vasco Manquinho

    1608-1616

    PDF
  • Bayesian Functional Optimisation with Shape Prior

    Pratibha Vellanki, Santu Rana, Sunil Gupta, David Rubin de Celis Leal, Alessandra Sutti, Murray Height, Svetha Venkatesh

    1617-1624

    PDF
  • Learning Optimal Classification Trees Using a Binary Linear Program Formulation

    Sicco Verwer, Yingqian Zhang

    1625-1632

    PDF
  • Asynchronous Proximal Stochastic Gradient Algorithm for Composition Optimization Problems

    Pengfei Wang, Risheng Liu, Nenggan Zheng, Zhefeng Gong

    1633-1640

    PDF
  • Low-Rank Semidefinite Programming for the MAX2SAT Problem

    Po-Wei Wang, J. Zico Kolter

    1641-1649

    PDF
  • Task Embedded Coordinate Update: A Realizable Framework for Multivariate Non-Convex Optimization

    Yiyang Wang, Risheng Liu, Long Ma, Xiaoliang Song

    1650-1657

    PDF
  • Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization

    Bryan Wilder, Bistra Dilkina, Milind Tambe

    1658-1665

    PDF
  • Adding Constraints to Bayesian Inverse Problems

    Jiacheng Wu, Jian-Xun Wang, Shawn C. Shadden

    1666-1673

    PDF
  • Optimizing in the Dark: Learning an Optimal Solution through a Simple Request Interface

    Qiao Xiang, Haitao Yu, James Aspnes, Franck Le, Linghe Kong, Y. Richard Yang

    1674-1681

    PDF
  • Generalized Batch Normalization: Towards Accelerating Deep Neural Networks

    Xiaoyong Yuan, Zheng Feng, Matthew Norton, Xiaolin Li

    1682-1689

    PDF
  • Improving Optimization Bounds Using Machine Learning: Decision Diagrams Meet Deep Reinforcement Learning

    Quentin Cappart, Emmanuel Goutierre, David Bergman, Louis-Martin Rousseau

    1443-1451

    PDF
  • Model-Based Diagnosis of Hybrid Systems Using Satisfiability Modulo Theory

    Alexander Diedrich, Alexander Maier, Oliver Niggemann

    1452-1459

    PDF
  • On Geometric Alignment in Low Doubling Dimension

    Hu Ding, Mingquan Ye

    1460-1467

    PDF
  • A Nonconvex Projection Method for Robust PCA

    Aritra Dutta, Filip Hanzely, Peter Richtàrik

    1468-1476

    PDF
  • Solving Integer Quadratic Programming via Explicit and Structural Restrictions

    Eduard Eiben, Robert Ganian, Dusan Knop, Sebastian Ordyniak

    1477-1484

    PDF
  • Stochastic Submodular Maximization with Performance-Dependent Item Costs

    Takuro Fukunaga, Takuya Konishi, Sumio Fujita, Ken-ichi Kawarabayashi

    1485-1494

    PDF
  • Constraint-Based Sequential Pattern Mining with Decision Diagrams

    Amin Hosseininasab, Willem-Jan van Hoeve, Andre A. Cire

    1495-1502

    PDF
  • Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization

    Feihu Huang, Bin Gu, Zhouyuan Huo, Songcan Chen, Heng Huang

    1503-1510

    PDF
  • Abduction-Based Explanations for Machine Learning Models

    Alexey Ignatiev, Nina Narodytska, Joao Marques-Silva

    1511-1519

    PDF
  • Separator-Based Pruned Dynamic Programming for Steiner Tree

    Yoichi Iwata, Takuto Shigemura

    1520-1527

    PDF
  • Asynchronous Delay-Aware Accelerated Proximal Coordinate Descent for Nonconvex Nonsmooth Problems

    Ehsan Kazemi, Liqiang Wang

    1528-1535

    PDF
  • A Recursive Algorithm for Projected Model Counting

    Jean-Marie Lagniez, Pierre Marquis

    1536-1543

    PDF
  • RSA: Byzantine-Robust Stochastic Aggregation Methods for Distributed Learning from Heterogeneous Datasets

    Liping Li, Wei Xu, Tianyi Chen, Georgios B. Giannakis, Qing Ling

    1544-1551

    PDF
  • Adaptive Proximal Average Based Variance Reducing Stochastic Methods for Optimization with Composite Regularization

    Jingchang Liu, Linli Xu, Junliang Guo, Xin Sheng

    1552-1559

    PDF
  • Automatic Construction of Parallel Portfolios via Explicit Instance Grouping

    Shengcai Liu, Ke Tang, Xin Yao

    1560-1567

    PDF
  • On Sampling Complexity of the Semidefinite Affine Rank Feasibility Problem

    Igor Molybog, Javad Lavaei

    1568-1575

    PDF
  • Revisiting Projection-Free Optimization for Strongly Convex Constraint Sets

    Jarrid Rector-Brooks, Jun-Kun Wang, Barzan Mozafari

    1576-1583

    PDF
  • A PSPACE Subclass of Dependency Quantified Boolean Formulas and Its Effective Solving

    Christoph Scholl, Jie-Hong Roland Jiang, Ralf Wimmer, Aile Ge-Ernst

    1584-1591

    PDF
  • BIRD: Engineering an Efficient CNF-XOR SAT Solver and Its Applications to Approximate Model Counting

    Mate Soos, Kuldeep S. Meel

    1592-1599

    PDF
  • Algorithms for Average Regret Minimization

    Sabine Storandt,Stefan Funke

    1600-1607

    PDF
  • Learning Optimal and Fair Decision Trees for Non-Discriminative Decision-Making

    Sina Aghaei, Mohammad Javad Azizi, Phebe Vayanos

    1418-1426

    PDF
  • Clairvoyant Restarts in Branch-and-Bound Search Using Online Tree-Size Estimation

    Daniel Anderson, Gregor Hendel, Pierre Le Bodic, Merlin Viernickel

    1427-1434

    PDF
  • A SAT+CAS Approach to Finding Good Matrices: New Examples and Counterexamples

    Curtis Bright, Dragomir Ž. Ðoković, Ilias Kotsireas, Vijay Ganesh

    1435-1442

    PDF

AAAI Technical Track: Game Playing and Interactive Entertainment

  • Tackling Sparse Rewards in Real-Time Games with Statistical Forward Planning Methods

    Raluca D. Gaina, Simon M. Lucas, Diego Pérez-Liébana

    1691-1698

    PDF
  • Regular Boardgames

    Jakub Kowalski, Maksymilian Mika, Jakub Sutowicz, Marek Szykuła

    1699-1706

    PDF
  • 3D Face Synthesis Driven by Personality Impression

    Yining Lang, Wei Liang, Yujia Wang, Lap-Fai Yu

    1707-1714

    PDF
  • Learning to Write Stories with Thematic Consistency and Wording Novelty

    Juntao Li, Lidong Bing, Lisong Qiu, Dongmin Chen, Dongyan Zhao, Rui Yan

    1715-1722

    PDF

AAAI Technical Track: Game Theory and Economic Paradigms

  • Distributionally Adversarial Attack

    Tianhang Zheng, Changyou Chen, Kui Ren

    2253-2260

    PDF
  • Revenue Enhancement via Asymmetric Signaling in Interdependent-Value Auctions

    Zhuoshu Li, Sanmay Das

    2093-2100

    PDF
  • Dynamic Contracting under Positive Commitment

    Ilan Lobel, Renato Paes Leme

    2101-2108

    PDF
  • When Do Envy-Free Allocations Exist?

    Pasin Manurangsi, Warut Suksompong

    2109-2116

    PDF
  • Quasi-Perfect Stackelberg Equilibrium

    Alberto Marchesi, Gabriele Farina, Christian Kroer, Nicola Gatti, Tuomas Sandholm

    2117-2124

    PDF
  • Optimal Dynamic Auctions Are Virtual Welfare Maximizers

    Vahab Mirrokni, Renato Paes Leme, Pingzhong Tang, Song Zuo

    2125-2132

    PDF
  • Deception in Finitely Repeated Security Games

    Thanh H. Nguyen, Yongzhao Wang, Arunesh Sinha, Michael P. Wellman

    2133-2140

    PDF
  • Fairly Allocating Many Goods with Few Queries

    Hoon Oh, Ariel D. Procaccia, Warut Suksompong

    2141-2148

    PDF
  • Learning Optimal Strategies to Commit To

    Binghui Peng, Weiran Shen, Pingzhong Tang, Song Zuo

    2149-2156

    PDF
  • Variance Reduction in Monte Carlo Counterfactual Regret Minimization (VR-MCCFR) for Extensive Form Games Using Baselines

    Martin Schmid, Neil Burch, Marc Lanctot, Matej Moravcik, Rudolf Kadlec, Michael Bowling

    2157-2164

    PDF
  • Mechanism Design for Multi-Type Housing Markets with Acceptable Bundles

    Sujoy Sikdar, Sibel Adalı, Lirong Xia

    2165-2172

    PDF
  • Learning Deviation Payoffs in Simulation-Based Games

    Samuel Sokota, Caleb Ho, Bryce Wiedenbeck

    2173-2180

    PDF
  • A Framework for Approval-Based Budgeting Methods

    Nimrod Talmon, Piotr Faliszewski

    2181-2188

    PDF
  • Practical Algorithms for Multi-Stage Voting Rules with Parallel Universes Tiebreaking

    Jun Wang, Sujoy Sikdar, Tyler Shepherd, Zhibing Zhao, Chunheng Jiang, Lirong Xia

    2189-2196

    PDF
  • Random Walk Decay Centrality

    Tomasz Wąs, Talal Rahwan, Oskar Skibski

    2197-2204

    PDF
  • Poll-Confident Voters in Iterative Voting

    Anaëlle Wilczynski

    2205-2212

    PDF
  • Defending Elections against Malicious Spread of Misinformation

    Bryan Wilder, Yevgeniy Vorobeychik

    2213-2220

    PDF
  • A Unified Approach to Online Matching with Conflict-Aware Constraints

    Pan Xu, Yexuan Shi, Hao Cheng, John Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Yongxin Tong, Leonidas Tsepenekas

    2221-2228

    PDF
  • A Better Algorithm for Societal Tradeoffs

    Hanrui Zhang, Yu Cheng, Vincent Conitzer

    2229-2236

    PDF
  • A PAC Framework for Aggregating Agents’ Judgments

    Hanrui Zhang, Vincent Conitzer

    2237-2244

    PDF
  • Preference-Aware Task Assignment in On-Demand Taxi Dispatching: An Online Stable Matching Approach

    Boming Zhao, Pan Xu, Yexuan Shi, Yongxin Tong, Zimu Zhou, Yuxiang Zeng

    2245-2252

    PDF
  • Very Hard Electoral Control Problems

    Zack Fitzsimmons, Edith Hemaspaandra, Alexander Hoover, David E. Narváez

    1933-1940

    PDF
  • Fair Knapsack

    Till Fluschnik, Piotr Skowron, Mervin Triphaus, Kai Wilker

    1941-1948

    PDF
  • A Bridge between Liquid and Social Welfare in Combinatorial Auctions with Submodular Bidders

    Dimitris Fotakis, Kyriakos Lotidis, Chara Podimata

    1949-1956

    PDF
  • An Equivalence between Wagering and Fair-Division Mechanisms

    Rupert Freeman, David M. Pennock, Jennifer Wortman Vaughan

    1957-1964

    PDF
  • Fair and Efficient Memory Sharing: Confronting Free Riders

    Eric J. Friedman, Vasilis Gkatzelis, Christos-Alexandros Psomas, Scott Shenker

    1965-1972

    PDF
  • Multi-Unit Bilateral Trade

    Matthias Gerstgrasser, Paul W. Goldberg, Bart de Keijzer, Philip Lazos, Alexander Skopalik

    1973-1980

    PDF
  • On the Distortion Value of the Elections with Abstention

    Mohammad Ghodsi, Mohamad Latifian, Masoud Seddighin

    1981-1988

    PDF
  • Pareto Efficient Auctions with Interest Rates

    Gagan Goel, Vahab Mirrokni, Renato Paes Leme

    1989-1995

    PDF
  • Deep Bayesian Trust: A Dominant and Fair Incentive Mechanism for Crowd

    Naman Goel, Boi Faltings

    1996-2003

    PDF
  • You Get What You Share: Incentives for a Sharing Economy

    Sreenivas Gollapudi, Kostas Kollias, Debmalya Panigrahi

    2004-2011

    PDF
  • Computing the Yolk in Spatial Voting Games without Computing Median Lines

    Joachim Gudmundsson, Sampson Wong

    2012-2019

    PDF
  • On the Inducibility of Stackelberg Equilibrium for Security Games

    Qingyu Guo, Jiarui Gan, Fei Fang, Long Tran-Thanh, Milind Tambe, Bo An

    2020-2028

    PDF
  • Solving Partially Observable Stochastic Games with Public Observations

    Karel Horák, Branislav Bošanský

    2029-2036

    PDF
  • Object Reachability via Swaps along a Line

    Sen Huang, Mingyu Xiao

    2037-2044

    PDF
  • Pareto-Optimal Allocation of Indivisible Goods with Connectivity Constraints

    Ayumi Igarashi, Dominik Peters

    2045-2052

    PDF
  • Forming Probably Stable Communities with Limited Interactions

    Ayumi Igarashi, Jakub Sliwinski, Yair Zick

    2053-2060

    PDF
  • Approximate Inference of Outcomes in Probabilistic Elections

    Batya Kenig, Benny Kimelfeld

    2061-2068

    PDF
  • “Reverse Gerrymandering”: Manipulation in Multi-Group Decision Making

    Omer Lev, Yoad Lewenberg

    2069-2076

    PDF
  • Heuristic Voting as Ordinal Dominance Strategies

    Omer Lev, Reshef Meir, Svetlana Obraztsova, Maria Polukarov

    2077-2084

    PDF
  • Cooperation Enforcement and Collusion Resistance in Repeated Public Goods Games

    Kai Li, Dong Hao

    2085-2092

    PDF
  • Group Fairness for the Allocation of Indivisible Goods

    Vincent Conitzer, Rupert Freeman, Nisarg Shah, Jennifer Wortman Vaughan

    1853-1860

    PDF
  • Solving Large Extensive-Form Games with Strategy Constraints

    Trevor Davis, Kevin Waugh, Michael Bowling

    1861-1868

    PDF
  • On the Complexity of the Inverse Semivalue Problem for Weighted Voting Games

    Ilias Diakonikolas, Chrystalla Pavlou

    1869-1876

    PDF
  • Balancing Relevance and Diversity in Online Bipartite Matching via Submodularity

    John P. Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Pan Xu

    1877-1884

    PDF
  • Online Pandora’s Boxes and Bandits

    Hossein Esfandiari, MohammadTaghi HajiAghayi, Brendan Lucier, Michael Mitzenmacher

    1885-1892

    PDF
  • Random Dictators with a Random Referee: Constant Sample Complexity Mechanisms for Social Choice

    Brandon Fain, Ashish Goel, Kamesh Munagala, Nina Prabhu

    1893-1900

    PDF
  • Approximation and Hardness of Shift-Bribery

    Piotr Faliszewski, Pasin Manurangsi, Krzysztof Sornat

    1901-1908

    PDF
  • How Similar Are Two Elections?

    Piotr Faliszewski, Piotr Skowron, Arkadii Slinko, Stanisław Szufa, Nimrod Talmon

    1909-1916

    PDF
  • Online Convex Optimization for Sequential Decision Processes and Extensive-Form Games

    Gabriele Farina, Christian Kroer, Tuomas Sandholm

    1917-1925

    PDF
  • An Improved Quasi-Polynomial Algorithm for Approximate Well-Supported Nash Equilibria

    Michail Fasoulakis, Evangelos Markakis

    1926-1932

    PDF
  • From Recommendation Systems to Facility Location Games

    Omer Ben-Porat, Gregory Goren, Itay Rosenberg, Moshe Tennenholtz

    1772-1779

    PDF
  • Convergence of Learning Dynamics in Information Retrieval Games

    Omer Ben-Porat, Itay Rosenberg, Moshe Tennenholtz

    1780-1787

    PDF
  • Low-Distortion Social Welfare Functions

    Gerdus Benadè, Ariel D. Procaccia, Mingda Qiao

    1788-1795

    PDF
  • On Rational Delegations in Liquid Democracy

    Daan Bloembergen, Davide Grossi, Martin Lackner

    1796-1803

    PDF
  • Primarily about Primaries

    Allan Borodin, Omer Lev, Nisarg Shah, Tyrone Strangway

    1804-1811

    PDF
  • Walrasian Dynamics in Multi-Unit Markets

    Simina Brânzei, Aris Filos-Ratsikas

    1812-1819

    PDF
  • Fast Iterative Combinatorial Auctions via Bayesian Learning

    Gianluca Brero, Sébastien Lahaie, Sven Seuken

    1820-1828

    PDF
  • Solving Imperfect-Information Games via Discounted Regret Minimization

    Noam Brown, Tuomas Sandholm

    1829-1836

    PDF
  • Partial Verification as a Substitute for Money

    Sofia Ceppi, Ian Kash, Rafael Frongillo

    1837-1844

    PDF
  • Randomized Wagering Mechanisms

    Yiling Chen, Yang Liu, Juntao Wang

    1845-1852

    PDF
  • The Pure Price of Anarchy of Pool Block Withholding Attacks in Bitcoin Mining

    Colleen Alkalay-Houlihan, Nisarg Shah

    1724-1731

    PDF
  • Fair Division with a Secretive Agent

    Eshwar Ram Arunachaleswaran, Siddharth Barman, Nidhi Rathi

    1732-1739

    PDF
  • Pareto Optimal Allocation under Compact Uncertain Preferences

    Haris Aziz, Peter Biro, Ronald de Haan, Baharak Rastegari

    1740-1747

    PDF
  • On the Proximity of Markets with Integral Equilibria

    Siddharth Barman, Sanath Kumar Krishnamurthy

    1748-1755

    PDF
  • Unknown Agents in Friends Oriented Hedonic Games: Stability and Complexity

    Nathanaël Barrot, Kazunori Ota, Yuko Sakurai, Makoto Yokoo

    1756-1763

    PDF
  • Generalized Distance Bribery

    Dorothea Baumeister, Tobias Hogrebe, Lisa Rey

    1764-1771

    PDF

AAAI Technical Track: Heuristic Search and Optimization

  • A Two-Individual Based Evolutionary Algorithm for the Flexible Job Shop Scheduling Problem

    Junwen Ding, Zhipeng Lü, Chu-Min Li, Liji Shen, Liping Xu, Fred Glover

    2262-2271

    PDF
  • Greedy Maximization of Functions with Bounded Curvature under Partition Matroid Constraints

    Tobias Friedrich, Andreas Göbel, Frank Neumann, Francesco Quinzan, Ralf Rothenberger

    2272-2279

    PDF
  • Heuristic Search Algorithm for Dimensionality Reduction Optimally Combining Feature Selection and Feature Extraction

    Baokun He, Swair Shah, Crystal Maung, Gordon Arnold, Guihong Wan, Haim Schweitzer

    2280-2287

    PDF
  • On the Optimal Efficiency of Cost-Algebraic A*

    Robert C. Holte, Sandra Zilles

    2288-2295

    PDF
  • Running Time Analysis of MOEA/D with Crossover on Discrete Optimization Problem

    Zhengxin Huang, Yuren Zhou, Zefeng Chen, Xiaoyu He

    2296-2303

    PDF
  • Bézier Simplex Fitting: Describing Pareto Fronts of´ Simplicial Problems with Small Samples in Multi-Objective Optimization

    Ken Kobayashi, Naoki Hamada, Akiyoshi Sannai, Akinori Tanaka, Kenichi Bannai, Masashi Sugiyama

    2304-2313

    PDF
  • Fine-Grained Search Space Classification for Hard Enumeration Variants of Subset Problems

    Juho Lauri, Sourav Dutta

    2314-2321

    PDF
  • On the Time Complexity of Algorithm Selection Hyper-Heuristics for Multimodal Optimisation

    Andrei Lissovoi, Pietro S. Oliveto, John Alasdair Warwicker

    2322-2329

    PDF
  • Evolving Action Abstractions for Real-Time Planning in Extensive-Form Games

    Julian R. H. Mariño, Rubens O. Moraes, Claudio Toledo, Levi H. S. Lelis

    2330-2337

    PDF
  • Real-Time Planning as Decision-Making under Uncertainty

    Andrew Mitchell, Wheeler Ruml, Fabian Spaniol, Jorg Hoffmann, Marek Petrik

    2338-2345

    PDF
  • Evolving Solutions to Community-Structured Satisfiability Formulas

    Frank Neumann, Andrew M. Sutton

    2346-2353

    PDF
  • Pareto Optimization for Subset Selection with Dynamic Cost Constraints

    Vahid Roostapour, Aneta Neumann, Frank Neumann, Tobias Friedrich

    2354-2361

    PDF
  • Stepping Stones to Inductive Synthesis of Low-Level Looping Programs

    Christopher D. Rosin

    2362-2370

    PDF
  • Allocating Planning Effort When Actions Expire

    Shahaf S. Shperberg, Andrew Coles, Bence Cserna, Erez Karpas, Wheeler Ruml, Solomon E. Shimony

    2371-2378

    PDF
  • Enriching Non-Parametric Bidirectional Search Algorithms

    Shahaf S. Shperberg, Ariel Felner, Nathan R. Sturtevant, Solomon E. Shimony, Avi Hayoun

    2379-2386

    PDF
  • Bounded Suboptimal Search with Learned Heuristics for Multi-Agent Systems

    Markus Spies, Marco Todescato, Hannes Becker, Patrick Kesper, Nicolai Waniek, Meng Guo

    2387-2394

    PDF
  • An Improved Generic Bet-and-Run Strategy with Performance Prediction for Stochastic Local Search

    Thomas Weise, Zijun Wu, Markus Wagner

    2395-2402

    PDF
  • Fuzzy-Classification Assisted Solution Preselection in Evolutionary Optimization

    Aimin Zhou, Jinyuan Zhang, Jianyong Sun, Guixu Zhang

    2403-2410

    PDF

AAAI Technical Track: Human-AI Collaboration

  • Making Money from What You Know – How to Sell Information?

    Shani Alkoby, Zihe Wang, David Sarne, Pingzhong Tang

    2421-2428

    PDF
  • Updates in Human-AI Teams: Understanding and Addressing the Performance/Compatibility Tradeoff

    Gagan Bansal, Besmira Nushi, Ece Kamar, Daniel S. Weld, Walter S. Lasecki, Eric Horvitz

    2429-2437

    PDF
  • Human-in-the-Loop Feature Selection

    Alvaro H. C. Correia, Freddy Lecue

    2438-2445

    PDF
  • Verifying Robustness of Gradient Boosted Models

    Gil Einziger, Maayan Goldstein, Yaniv Sa’ar, Itai Segall

    2446-2453

    PDF
  • Counterfactual Randomization: Rescuing Experimental Studies from Obscured Confounding

    Andrew Forney, Elias Bareinboim

    2454-2461

    PDF
  • Efficiently Combining Human Demonstrations and Interventions for Safe Training of Autonomous Systems in Real-Time

    Vinicius G. Goecks, Gregory M. Gremillion, Vernon J. Lawhern, John Valasek, Nicholas R. Waytowich

    2462-2470

    PDF
  • Task Transfer by Preference-Based Cost Learning

    Mingxuan Jing, Xiaojian Ma, Wenbing Huang, Fuchun Sun, Huaping Liu

    2471-2478

    PDF
  • A Unified Framework for Planning in Adversarial and Cooperative Environments

    Anagha Kulkarni, Siddharth Srivastava, Subbarao Kambhampati

    2479-2487

    PDF
  • RGBD Based Gaze Estimation via Multi-Task CNN

    Dongze Lian, Ziheng Zhang, Weixin Luo, Lina Hu, Minye Wu, Zechao Li, Jingyi Yu, Shenghua Gao

    2488-2495

    PDF
  • Deep Neural Networks Constrained by Decision Rules

    Yuzuru Okajima, Kunihiko Sadamasa

    2496-2505

    PDF
  • Geometry-Aware Face Completion and Editing

    Linsen Song, Jie Cao, Lingxiao Song, Yibo Hu, Ran He

    2506-2513

    PDF
  • Generation of Policy-Level Explanations for Reinforcement Learning

    Nicholay Topin, Manuela Veloso

    2514-2521

    PDF
  • Learning Models of Sequential Decision-Making with Partial Specification of Agent Behavior

    Vaibhav V. Unhelkar, Julie A. Shah

    2522-2530

    PDF
  • Augmenting Markov Decision Processes with Advising

    Loïs Vanhée, Laurent Jeanpierre, Abdel-Illah Mouaddib

    2531-2538

    PDF
  • FLEX: Faithful Linguistic Explanations for Neural Net Based Model Decisions

    Sandareka Wickramanayake, Wynne Hsu, Mong Li Lee

    2539-2546

    PDF
  • Interactive Semantic Parsing for If-Then Recipes via Hierarchical Reinforcement Learning

    Ziyu Yao, Xiujun Li, Jianfeng Gao, Brian Sadler, Huan Sun

    2547-2554

    PDF
  • One-Network Adversarial Fairness

    Tameem Adel, Isabel Valera, Zoubin Ghahramani, Adrian Weller

    2412-2420

    PDF

AAAI Technical Track: Humans and AI

  • Lipper: Synthesizing Thy Speech Using Multi-View Lipreading

    Yaman Kumar, Rohit Jain, Khwaja Mohd. Salik, Rajiv Ratn Shah, Yifang Yin, Roger Zimmermann

    2588-2595

    PDF
  • Goal-Oriented Dialogue Policy Learning from Failures

    Keting Lu, Shiqi Zhang, Xiaoping Chen

    2596-2603

    PDF
  • Be Inaccurate but Don’t Be Indecisive: How Error Distribution Can Affect User Experience

    Rafael R. Padovani, Lucas N. Ferreira, Levi H. S. Lelis

    2604-2611

    PDF
  • Consensual Affine Transformations for Partial Valuation Aggregation

    Hermann Schichl, Meinolf Sellmann

    2612-2619

    PDF
  • CycleEmotionGAN: Emotional Semantic Consistency Preserved CycleGAN for Adapting Image Emotions

    Sicheng Zhao, Chuang Lin, Pengfei Xu, Sendong Zhao, Yuchen Guo, Ravi Krishna, Guiguang Ding, Kurt Keutzer

    2620-2627

    PDF
  • Deep Transformation Method for Discriminant Analysis of Multi-Channel Resting State fMRI

    Abhay M S Aradhya, Aditya Joglekar, Sundaram Suresh, M. Pratama

    2556-2563

    PDF
  • AI-Sketcher : A Deep Generative Model for Producing High-Quality Sketches

    Nan Cao, Xin Yan, Yang Shi, Chaoran Chen

    2564-2571

    PDF
  • Election with Bribed Voter Uncertainty: Hardness and Approximation Algorithm

    Lin Chen, Lei Xu, Shouhuai Xu, Zhimin Gao, Weidong Shi

    2572-2579

    PDF
  • Human Motion Prediction via Learning Local Structure Representations and Temporal Dependencies

    Xiao Guo, Jongmoo Choi

    2580-2587

    PDF

AAAI Technical Track: Human-Computation and Crowd Sourcing

  • Preference-Aware Task Assignment in Spatial Crowdsourcing

    Yan Zhao, Jinfu Xia, Guanfeng Liu, Han Su, Defu Lian, Shuo Shang, Kai Zheng

    2629-2636

    PDF

AAAI Technical Track: Knowledge Representation and Reasoning

  • Safe Partial Diagnosis from Normal Observations

    Roni Stern, Brendan Juba

    3084-3091

    PDF
  • Reasoning over Streaming Data in Metric Temporal Datalog

    Przemysław Andrzej Wałęga, Mark Kaminski, Bernardo Cuenca Grau

    3092-3099

    PDF
  • TransGate: Knowledge Graph Embedding with Shared Gate Structure

    Jun Yuan, Neng Gao, Ji Xiang

    3100-3107

    PDF
  • Recursively Learning Causal Structures Using Regression-Based Conditional Independence Test

    Hao Zhang, Shuigeng Zhou, Chuanxu Yan, Jihong Guan, Xin Wang

    3108-3115

    PDF
  • Tracking Logical Difference in Large-Scale Ontologies: A Forgetting-Based Approach

    Yizheng Zhao, Ghadah Alghamdi, Renate A. Schmidt, Hao Feng, Giorgos Stoilos, Damir Juric, Mohammad Khodadadi

    3116-3124

    PDF
  • On Completing Sparse Knowledge Base with Transitive Relation Embedding

    Zili Zhou, Shaowu Liu, Guandong Xu, Wu Zhang

    3125-3132

    PDF
  • Representing and Learning Grammars in Answer Set Programming

    Mark Law, Alessandra Russo, Elisa Bertino, Krysia Broda, Jorge Lobo

    2919-2928

    PDF
  • Multi-Context System for Optimization Problems

    Tiep Le, Tran Cao Son, Enrico Pontelli

    2929-2937

    PDF
  • Reasoning over Assumption-Based Argumentation Frameworks via Direct Answer Set Programming Encodings

    Tuomo Lehtonen, Johannes P. Wallner, Matti Järvisalo

    2938-2945

    PDF
  • SAT-Based Explicit LTLf Satisfiability Checking

    Jianwen Li, Kristin Y. Rozier, Geguang Pu, Yueling Zhang, Moshe Y. Vardi

    2946-2953

    PDF
  • Implanting Rational Knowledge into Distributed Representation at Morpheme Level

    Zi Lin, Yang Liu

    2954-2961

    PDF
  • Complexity of Inconsistency-Tolerant Query Answering in Datalog+/– under Cardinality-Based Repairs

    Thomas Lukasiewicz, Enrico Malizia, Andrius Vaicenavičius

    2962-2969

    PDF
  • SDRL: Interpretable and Data-Efficient Deep Reinforcement Learning Leveraging Symbolic Planning

    Daoming Lyu, Fangkai Yang, Bo Liu, Steven Gustafson

    2970-2977

    PDF
  • Less but Better: Generalization Enhancement of Ordinal Embedding via Distributional Margin

    Ke Ma, Qianqian Xu, Zhiyong Yang, Xiaochun Cao

    2978-2985

    PDF
  • Group Decision Diagram (GDD): A Compact Representation for Permutations

    Takanori Maehara, Yuma Inoue

    2986-2994

    PDF
  • On Limited Conjunctions and Partial Features in Parameter-Tractable Feature Logics

    Stephanie McIntyre, Alexander Borgida, David Toman, Grant Weddell

    2995-3002

    PDF
  • Declarative Question Answering over Knowledge Bases Containing Natural Language Text with Answer Set Programming

    Arindam Mitra, Peter Clark, Oyvind Tafjord, Chitta Baral

    3003-3010

    PDF
  • Blameworthiness in Strategic Games

    Pavel Naumov, Jia Tao

    3011-3018

    PDF
  • Belief Change and Non-Monotonic Reasoning Sans Compactness

    Jandson S. Ribeiro, Abhaya Nayak, Renata Wassermann

    3019-3026

    PDF
  • ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning

    Maarten Sap, Ronan Le Bras, Emily Allaway, Chandra Bhagavatula, Nicholas Lourie, Hannah Rashkin, Brendan Roof, Noah A. Smith, Yejin Choi

    3027-3035

    PDF
  • Efficient Concept Induction for Description Logics

    Md Kamruzzaman Sarker, Pascal Hitzler

    3036-3043

    PDF
  • An Open-World Extension to Knowledge Graph Completion Models

    Haseeb Shah, Johannes Villmow, Adrian Ulges, Ulrich Schwanecke, Faisal Shafait

    3044-3051

    PDF
  • Induction of Non-Monotonic Logic Programs to Explain Boosted Tree Models Using LIME

    Farhad Shakerin, Gopal Gupta

    3052-3059

    PDF
  • End-to-End Structure-Aware Convolutional Networks for Knowledge Base Completion

    Chao Shang, Yun Tang, Jing Huang, Jinbo Bi, Xiaodong He, Bowen Zhou

    3060-3067

    PDF
  • Amalgamating Knowledge towards Comprehensive Classification

    Chengchao Shen, Xinchao Wang, Jie Song, Li Sun, Mingli Song

    3068-3075

    PDF
  • Iterated Belief Base Revision: A Dynamic Epistemic Logic Approach

    Marlo Souza, Álvaro Moreira, Renata Vieira

    3076-3083

    PDF
  • Argumentation for Explainable Scheduling

    Kristijonas Čyras, Dimitrios Letsios, Ruth Misener, Francesca Toni

    2752-2759

    PDF
  • Approximate Stream Reasoning with Metric Temporal Logic under Uncertainty

    Daniel de Leng, Fredrik Heintz

    2760-2767

    PDF
  • ABox Abduction via Forgetting in ALC

    Warren Del-Pinto, Renate A. Schmidt

    2768-2775

    PDF
  • Qualitative Spatial Logic over 2D Euclidean Spaces Is Not Finitely Axiomatisable

    Heshan Du, Natasha Alechina

    2776-2783

    PDF
  • Validation of Growing Knowledge Graphs by Abductive Text Evidences

    Jianfeng Du, Jeff Z. Pan, Sylvia Wang, Kunxun Qi, Yuming Shen, Yu Deng

    2784-2791

    PDF
  • On Structured Argumentation with Conditional Preferences

    Phan Minh Dung, Phan Minh Thang, Tran Cao Son

    2792-2800

    PDF
  • Complexity of Abstract Argumentation under a Claim-Centric View

    Wolfgang Dvořák, Stefan Woltran

    2801-2808

    PDF
  • Strong Equivalence for Epistemic Logic Programs Made Easy

    Wolfgang Faber, Michael Morak, Stefan Woltran

    2809-2816

    PDF
  • Disjunctive Normal Form for Multi-Agent Modal Logics Based on Logical Separability

    Liangda Fang, Kewen Wang, Zhe Wang, Ximing Wen

    2817-2826

    PDF
  • Counting Complexity for Reasoning in Abstract Argumentation

    Johannes K. Fichte, Markus Hecher, Arne Meier

    2827-2834

    PDF
  • A Sequential Set Generation Method for Predicting Set-Valued Outputs

    Tian Gao, Jie Chen, Vijil Chenthamarakshan, Michael Witbrock

    2835-2842

    PDF
  • Forgetting in Modular Answer Set Programming

    Ricardo Gonçalves, Tomi Janhunen, Matthias Knorr, João Leite, Stefan Woltran

    2843-2850

    PDF
  • Partial Awareness

    Joseph Y. Halpern, Evan Piermont

    2851-2858

    PDF
  • Modular Materialisation of Datalog Programs

    Pan Hu, Boris Motik, Ian Horrocks

    2859-2866

    PDF
  • Bi-Kronecker Functional Decision Diagrams: A Novel Canonical Representation of Boolean Functions

    Xuanxiang Huang, Kehang Fang, Liangda Fang, Qingliang Chen, Zhao-Rong Lai, Linfeng Wei

    2867-2875

    PDF
  • Minimum Intervention Cover of a Causal Graph

    Saravanan Kandasamy, Arnab Bhattacharyya, Vasant G. Honavar

    2876-2885

    PDF
  • Knowledge Refinement via Rule Selection

    Phokion G. Kolaitis, Lucian Popa, Kun Qian

    2886-2894

    PDF
  • LENA: Locality-Expanded Neural Embedding for Knowledge Base Completion

    Fanshuang Kong, Richong Zhang, Yongyi Mao, Ting Deng

    2895-2902

    PDF
  • Ontology-Based Query Answering for Probabilistic Temporal Data

    Patrick Koopmann

    2903-2910

    PDF
  • Combining Deep Learning and Qualitative Spatial Reasoning to Learn Complex Structures from Sparse Examples with Noise

    Nikhil Krishnaswamy, Scott Friedman, James Pustejovsky

    2911-2918

    PDF
  • Satisfiability in Strategy Logic Can Be Easier than Model Checking

    Erman Acar, Massimo Benerecetti, Fabio Mogavero

    2638-2645

    PDF
  • Unbounded Orchestrations of Transducers for Manufacturing

    Natasha Alechina, Tomáš Brázdil, Giuseppe De Giacomo, Paolo Felli, Brian Logan, Moshe Y. Vardi

    2646-2653

    PDF
  • Relaxing and Restraining Queries for OBDA

    Medina Andreşel, Yazmín Ibáñez-García, Magdalena Ortiz, Mantas Šimkus

    2654-2661

    PDF
  • Certifying the True Error: Machine Learning in Coq with Verified Generalization Guarantees

    Alexander Bagnall, Gordon Stewart

    2662-2669

    PDF
  • Extension Removal in Abstract Argumentation – An Axiomatic Approach

    Ringo Baumann, Gerhard Brewka

    2670-2677

    PDF
  • Abstracting Causal Models

    Sander Beckers, Joseph Y. Halpern

    2678-2685

    PDF
  • Weighted Abstract Dialectical Frameworks through the Lens of Approximation Fixpoint Theory

    Bart Bogaerts

    2686-2693

    PDF
  • Enhancing Lazy Grounding with Lazy Normalization in Answer-Set Programming

    Jori Bomanson, Tomi Janhunen, Antonius Weinzierl

    2694-2702

    PDF
  • Learning Features and Abstract Actions for Computing Generalized Plans

    Blai Bonet, Guillem Francès, Hector Geffner

    2703-2710

    PDF
  • Ontology-Mediated Query Answering over Log-Linear Probabilistic Data

    Stefan Borgwardt, İsmail İlkan Ceylan, Thomas Lukasiewicz

    2711-2718

    PDF
  • Querying Attributed DL-Lite Ontologies Using Provenance Semirings

    Camille Bourgaux, Ana Ozaki

    2719-2726

    PDF
  • Model-Based Diagnosis for Cyber-Physical Production Systems Based on Machine Learning and Residual-Based Diagnosis Models

    Andreas Bunte, Benno Stein, Oliver Niggemann

    2727-2735

    PDF
  • From Horn-SRIQ to Datalog: A Data-Independent Transformation That Preserves Assertion Entailment

    David Carral, Larry González, Patrick Koopmann

    2736-2743

    PDF
  • Identification of Causal Effects in the Presence of Selection Bias

    Juan D. Correa, Jin Tian, Elias Bareinboim

    2744-2751

    PDF

AAAI Technical Track: Machine Learning

  • SADIH: Semantic-Aware DIscrete Hashing

    Zheng Zhang, Guo-sen Xie, Yang Li, Sheng Li, Zi Huang

    5853-5860

    PDF
  • Submodular Optimization over Streams with Inhomogeneous Decays

    Junzhou Zhao, Shuo Shang, Pinghui Wang, John C.S. Lui, Xiangliang Zhang

    5861-5868

    PDF
  • The Adversarial Attack and Detection under the Fisher Information Metric

    Chenxiao Zhao, P. Thomas Fletcher, Mixue Yu, Yaxin Peng, Guixu Zhang, Chaomin Shen

    5869-5876

    PDF
  • Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation

    Pengpeng Zhao, Haifeng Zhu, Yanchi Liu, Jiajie Xu, Zhixu Li, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou

    5877-5884

    PDF
  • InfoVAE: Balancing Learning and Inference in Variational Autoencoders

    Shengjia Zhao, Jiaming Song, Stefano Ermon

    5885-5892

    PDF
  • Self-Adversarially Learned Bayesian Sampling

    Yang Zhao, Jianyi Zhang, Changyou Chen

    5893-5900

    PDF
  • Biomedical Image Segmentation via Representative Annotation

    Hao Zheng, Lin Yang, Jianxu Chen, Jun Han, Yizhe Zhang, Peixian Liang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen

    5901-5908

    PDF
  • A New Ensemble Learning Framework for 3D Biomedical Image Segmentation

    Hao Zheng, Yizhe Zhang, Lin Yang, Peixian Liang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen

    5909-5916

    PDF
  • Understanding VAEs in Fisher-Shannon Plane

    Huangjie Zheng, Jiangchao Yao, Ya Zhang, Ivor W. Tsang, Jia Wang

    5917-5924

    PDF
  • Capacity Control of ReLU Neural Networks by Basis-Path Norm

    Shuxin Zheng, Qi Meng, Huishuai Zhang, Wei Chen, Nenghai Yu, Tie-Yan Liu

    5925-5932

    PDF
  • Self-Supervised Mixture-of-Experts by Uncertainty Estimation

    Zhuobin Zheng, Chun Yuan, Xinrui Zhu, Zhihui Lin, Yangyang Cheng, Cheng Shi, Jiahui Ye

    5933-5940

    PDF
  • Deep Interest Evolution Network for Click-Through Rate Prediction

    Guorui Zhou, Na Mou, Ying Fan, Qi Pi, Weijie Bian, Chang Zhou, Xiaoqiang Zhu, Kun Gai

    5941-5948

    PDF
  • An Efficient Compressive Convolutional Network for Unified Object Detection and Image Compression

    Xichuan Zhou, Lang Xu, Shujun Liu, Yingcheng Lin, Lei Zhang, Cheng Zhuo

    5949-5956

    PDF
  • Communication-Optimal Distributed Dynamic Graph Clustering

    Chun Jiang Zhu, Tan Zhu, Kam-Yiu Lam, Song Han, Jinbo Bi

    5957-5964

    PDF
  • A Domain Generalization Perspective on Listwise Context Modeling

    Lin Zhu, Yihong Chen, Bowen He

    5965-5972

    PDF
  • DAN: Deep Attention Neural Network for News Recommendation

    Qiannan Zhu, Xiaofei Zhou, Zeliang Song, Jianlong Tan, Li Guo

    5973-5980

    PDF
  • Residual Invertible Spatio-Temporal Network for Video Super-Resolution

    Xiaobin Zhu, Zhuangzi Li, Xiao-Yu Zhang, Changsheng Li, Yaqi Liu, Ziyu Xue

    5981-5988

    PDF
  • Aligning Domain-Specific Distribution and Classifier for Cross-Domain Classification from Multiple Sources

    Yongchun Zhu, Fuzhen Zhuang, Deqing Wang

    5989-5996

    PDF
  • Consensus Adversarial Domain Adaptation

    Han Zou, Yuxun Zhou, Jianfei Yang, Huihan Liu, Hari Prasanna Das, Costas J. Spanos

    5997-6004

    PDF
  • Parallel Restarted SGD with Faster Convergence and Less Communication: Demystifying Why Model Averaging Works for Deep Learning

    Hao Yu, Sen Yang, Shenghuo Zhu

    5693-5700

    PDF
  • Network Recasting: A Universal Method for Network Architecture Transformation

    Joonsang Yu, Sungbum Kang, Kiyoung Choi

    5701-5708

    PDF
  • Multi-Order Attentive Ranking Model for Sequential Recommendation

    Lu Yu, Chuxu Zhang, Shangsong Liang, Xiangliang Zhang

    5709-5716

    PDF
  • Interpreting Deep Models for Text Analysis via Optimization and Regularization Methods

    Hao Yuan, Yongjun Chen, Xia Hu, Shuiwang Ji

    5717-5724

    PDF
  • f-Similarity Preservation Loss for Soft Labels: A Demonstration on Cross-Corpus Speech Emotion Recognition

    Biqiao Zhang, Yuqing Kong, Georg Essl, Emily Mower Provost

    5725-5732

    PDF
  • Partially Observable Multi-Sensor Sequential Change Detection: A Combinatorial Multi-Armed Bandit Approach

    Chen Zhang, Steven C.H. Hoi

    5733-5740

    PDF
  • Active Mini-Batch Sampling Using Repulsive Point Processes

    Cheng Zhang, Cengiz Öztireli, Stephan Mandt, Giampiero Salvi

    5741-5748

    PDF
  • Learning Set Functions with Limited Complementarity

    Hanrui Zhang

    5749-5756

    PDF
  • RecurJac: An Efficient Recursive Algorithm for Bounding Jacobian Matrix of Neural Networks and Its Applications

    Huan Zhang, Pengchuan Zhang, Cho-Jui Hsieh

    5757-5764

    PDF
  • A Powerful Global Test Statistic for Functional Statistical Inference

    Jingwen Zhang, Joseph Ibrahim, Tengfei Li, Hongtu Zhu

    5765-5772

    PDF
  • Interactive Attention Transfer Network for Cross-Domain Sentiment Classification

    Kai Zhang, Hefu Zhang, Qi Liu, Hongke Zhao, Hengshu Zhu, Enhong Chen

    5773-5780

    PDF
  • Learning to Communicate and Solve Visual Blocks-World Tasks

    Qi Zhang, Richard Lewis, Satinder Singh, Edmund Durfee

    5781-5788

    PDF
  • ACE: An Actor Ensemble Algorithm for Continuous Control with Tree Search

    Shangtong Zhang, Hengshuai Yao

    5789-5796

    PDF
  • QUOTA: The Quantile Option Architecture for Reinforcement Learning

    Shangtong Zhang, Hengshuai Yao

    5797-5804

    PDF
  • Hashtag Recommendation for Photo Sharing Services

    Suwei Zhang, Yuan Yao, Feng Xu, Hanghang Tong, Xiaohui Yan, Jian Lu

    5805-5812

    PDF
  • Find Me if You Can: Deep Software Clone Detection by Exploiting the Contest between the Plagiarist and the Detector

    Yan-Ya Zhang, Ming Li

    5813-5820

    PDF
  • CAFE: Adaptive VDI Workload Prediction with Multi-Grained Features

    Yao Zhang, Wen-Ping Fan, Xuan Wu, Hua Chen, Bin-Yang Li, Min-Ling Zhang

    5821-5828

    PDF
  • Bayesian Graph Convolutional Neural Networks for Semi-Supervised Classification

    Yingxue Zhang, Soumyasundar Pal, Mark Coates, Deniz Ustebay

    5829-5836

    PDF
  • Learning (from) Deep Hierarchical Structure among Features

    Yu Zhang, Lei Han

    5837-5844

    PDF
  • Learning Uniform Semantic Features for Natural Language and Programming Language Globally, Locally and Sequentially

    Yudong Zhang, Wenhao Zheng, Ming Li

    5845-5852

    PDF
  • Hierarchical Classification Based on Label Distribution Learning

    Changdong Xu, Xin Geng

    5533-5540

    PDF
  • Embedding-Based Complex Feature Value Coupling Learning for Detecting Outliers in Non-IID Categorical Data

    Hongzuo Xu, Yongjun Wang, Zhiyue Wu, Yijie Wang

    5541-5548

    PDF
  • Dueling Bandits with Qualitative Feedback

    Liyuan Xu, Junya Honda, Masashi Sugiyama

    5549-5556

    PDF
  • Partial Label Learning via Label Enhancement

    Ning Xu, Jiaqi Lv, Xin Geng

    5557-5564

    PDF
  • Data-Distortion Guided Self-Distillation for Deep Neural Networks

    Ting-Bing Xu, Cheng-Lin Liu

    5565-5572

    PDF
  • Task-Driven Common Representation Learning via Bridge Neural Network

    Yao Xu, Xueshuang Xiang, Meiyu Huang

    5573-5580

    PDF
  • Self-Ensembling Attention Networks: Addressing Domain Shift for Semantic Segmentation

    Yonghao Xu, Bo Du, Lefei Zhang, Qian Zhang, Guoli Wang, Liangpei Zhang

    5581-5588

    PDF
  • Active Learning of Multi-Class Classification Models from Ordered Class Sets

    Yanbing Xue, Milos Hauskrecht

    5589-5596

    PDF
  • Frame and Feature-Context Video Super-Resolution

    Bo Yan, Chuming Lin, Weimin Tan

    5597-5604

    PDF
  • Oversampling for Imbalanced Data via Optimal Transport

    Yuguang Yan, Mingkui Tan, Yanwu Xu, Jiezhang Cao, Michael Ng, Huaqing Min, Qingyao Wu

    5605-5612

    PDF
  • Cross-Domain Visual Representations via Unsupervised Graph Alignment

    Baoyao Yang, Pong C. Yuen

    5613-5620

    PDF
  • Weighted Oblique Decision Trees

    Bin-Bin Yang, Song-Qing Shen, Wei Gao

    5621-5627

    PDF
  • Training Deep Neural Networks in Generations: A More Tolerant Teacher Educates Better Students

    Chenglin Yang, Lingxi Xie, Siyuan Qiao, Alan L. Yuille

    5628-5635

    PDF
  • Confidence Weighted Multitask Learning

    Peng Yang, Peilin Zhao, Jiayu Zhou, Xin Gao

    5636-5643

    PDF
  • Unsupervised Fake News Detection on Social Media: A Generative Approach

    Shuo Yang, Kai Shu, Suhang Wang, Renjie Gu, Fan Wu, Huan Liu

    5644-5651

    PDF
  • Deep Robust Unsupervised Multi-Modal Network

    Yang Yang, Yi-Feng Wu, De-Chuan Zhan, Zhi-Bin Liu, Yuan Jiang

    5652-5659

    PDF
  • Learning Personalized Attribute Preference via Multi-Task AUC Optimization

    Zhiyong Yang, Qianqian Xu, Xiaochun Cao, Qingming Huang

    5660-5667

    PDF
  • Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction

    Huaxiu Yao, Xianfeng Tang, Hua Wei, Guanjie Zheng, Zhenhui Li

    5668-5675

    PDF
  • Balanced Sparsity for Efficient DNN Inference on GPU

    Zhuliang Yao, Shijie Cao, Wencong Xiao, Chen Zhang, Lanshun Nie

    5676-5683

    PDF
  • Iterative Classroom Teaching

    Teresa Yeo, Parameswaran Kamalaruban, Adish Singla, Arpit Merchant, Thibault Asselborn, Louis Faucon, Pierre Dillenbourg, Volkan Cevher

    5684-5692

    PDF
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    5377-5384

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    5385-5392

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    5393-5400

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    5409-5416

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    5417-5424

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    5425-5432

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    5433-5440

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    5450-5457

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    5458-5465

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    5466-5473

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    5490-5497

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    5498-5507

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    5516-5524

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    5216-5223

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    5224-5231

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    5232-5239

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    5248-5255

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    5264-5272

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    5305-5312

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    5321-5328

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    5329-5336

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    5345-5352

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    5353-5360

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    5361-5368

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    5041-5048

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    5049-5057

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    5058-5065

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    5066-5073

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    5074-5082

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    5083-5090

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    5091-5099

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    5101-5108

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    5109-5116

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    5117-5124

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    5167-5174

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    4918-4925

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    4926-4933

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    4934-4942

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    4943-4950

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    4992-4999

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    4424-4431

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    4432-4439

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    4440-4447

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    4448-4455

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    4472-4479

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    4480-4487

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    4488-4495

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    4504-4511

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    4512-4519

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    4520-4527

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    4528-4535

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    4544-4551

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    4229-4236

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    4237-4244

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    4245-4252

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    4253-4260

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    PDF
  • Scale Invariant Fully Convolutional Network: Detecting Hands Efficiently

    Dan Liu, Dawei Du, Libo Zhang, Tiejian Luo, Yanjun Wu, Feiyue Huang, Siwei Lyu

    4344-4351

    PDF
  • Trust Region Evolution Strategies

    Guoqing Liu, Li Zhao, Feidiao Yang, Jiang Bian, Tao Qin, Nenghai Yu, Tie-Yan Liu

    4352-4359

    PDF
  • Learning Multi-Task Communication with Message Passing for Sequence Learning

    Pengfei Liu, Jie Fu, Yue Dong, Xipeng Qiu, Jackie Chi Kit Cheung

    4360-4367

    PDF
  • A Theoretically Guaranteed Deep Optimization Framework for Robust Compressive Sensing MRI

    Risheng Liu, Yuxi Zhang, Shichao Cheng, Xin Fan, Zhongxuan Luo

    4368-4375

    PDF
  • A Bandit Approach to Maximum Inner Product Search

    Rui Liu, Tianyi Wu, Barzan Mozafari

    4376-4383

    PDF
  • The Utility of Sparse Representations for Control in Reinforcement Learning

    Vincent Liu, Raksha Kumaraswamy, Lei Le, Martha White

    4384-4391

    PDF
  • Guided Dropout

    Rohit Keshari, Richa Singh, Mayank Vatsa

    4065-4072

    PDF
  • Mixture of Expert/Imitator Networks: Scalable Semi-Supervised Learning Framework

    Shun Kiyono, Jun Suzuki, Kentaro Inui

    4073-4081

    PDF
  • Exploiting Class Learnability in Noisy Data

    Matthew Klawonn, Eric Heim, James Hendler

    4082-4089

    PDF
  • Active Generative Adversarial Network for Image Classification

    Quan Kong, Bin Tong, Martin Klinkigt, Yuki Watanabe, Naoto Akira, Tomokazu Murakami

    4090-4097

    PDF
  • On-Line Learning of Linear Dynamical Systems: Exponential Forgetting in Kalman Filters

    Mark Kozdoba, Jakub Marecek, Tigran Tchrakian, Shie Mannor

    4098-4105

    PDF
  • Unsupervised Domain Adaptation by Matching Distributions Based on the Maximum Mean Discrepancy via Unilateral Transformations

    Atsutoshi Kumagai, Tomoharu Iwata

    4106-4113

    PDF
  • Multi-Source Neural Variational Inference

    Richard Kurle, Stephan Günnemann, Patrick van der Smagt

    4114-4121

    PDF
  • Unsupervised Domain Adaptation Based on Source-Guided Discrepancy

    Seiichi Kuroki, Nontawat Charoenphakdee, Han Bao, Junya Honda, Issei Sato, Masashi Sugiyama

    4122-4129

    PDF
  • TransConv: Relationship Embedding in Social Networks

    Yi-Yu Lai, Jennifer Neville, Dan Goldwasser

    4130-4138

    PDF
  • Accurate and Interpretable Factorization Machines

    Liang Lan, Yu Geng

    4139-4146

    PDF
  • Gradient-Based Inference for Networks with Output Constraints

    Jay Yoon Lee, Sanket Vaibhav Mehta, Michael Wick, Jean-Baptiste Tristan, Jaime Carbonell

    4147-4154

    PDF
  • Understanding Learned Models by Identifying Important Features at the Right Resolution

    Kyubin Lee, Akshay Sood, Mark Craven

    4155-4163

    PDF
  • Structural Causal Bandits with Non-Manipulable Variables

    Sanghack Lee, Elias Bareinboim

    4164-4172

    PDF
  • Communication-Efficient Stochastic Gradient MCMC for Neural Networks

    Chunyuan Li, Changyou Chen, Yunchen Pu, Ricardo Henao, Lawrence Carin

    4173-4180

    PDF
  • Lifted Proximal Operator Machines

    Jia Li, Cong Fang, Zhouchen Lin

    4181-4188

    PDF
  • From Zero-Shot Learning to Cold-Start Recommendation

    Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Yang Yang, Zi Huang

    4189-4196

    PDF
  • X-DMM: Fast and Scalable Model Based Text Clustering

    Linwei Li, Liangchen Guo, Zhenying He, Yinan Jing, X. Sean Wang

    4197-4204

    PDF
  • Sign-Full Random Projections

    Ping Li

    4205-4212

    PDF
  • Robust Multi-Agent Reinforcement Learning via Minimax Deep Deterministic Policy Gradient

    Shihui Li, Yi Wu, Xinyue Cui, Honghua Dong, Fei Fang, Stuart Russell

    4213-4220

    PDF
  • Spectral Clustering in Heterogeneous Information Networks

    Xiang Li, Ben Kao, Zhaochun Ren, Dawei Yin

    4221-4228

    PDF
  • Model-Free IRL Using Maximum Likelihood Estimation

    Vinamra Jain, Prashant Doshi, Bikramjit Banerjee

    3951-3958

    PDF
  • Classification with Costly Features Using Deep Reinforcement Learning

    Jaromír Janisch, Tomáš Pevný, Viliam Lisý

    3959-3966

    PDF
  • Tile2Vec: Unsupervised Representation Learning for Spatially Distributed Data

    Neal Jean, Sherrie Wang, Anshul Samar, George Azzari, David Lobell, Stefano Ermon

    3967-3974

    PDF
  • Multi-Dimensional Classification via kNN Feature Augmentation

    Bin-Bin Jia, Min-Ling Zhang

    3975-3982

    PDF
  • Joint Semi-Supervised Feature Selection and Classification through Bayesian Approach

    Bingbing Jiang, Xingyu Wu, Kui Yu, Huanhuan Chen

    3983-3990

    PDF
  • Fast Incremental SVDD Learning Algorithm with the Gaussian Kernel

    Hansi Jiang, Haoyu Wang, Wenhao Hu, Deovrat Kakde, Arin Chaudhuri

    3991-3998

    PDF
  • Non-Asymptotic Uniform Rates of Consistency for k-NN Regression

    Heinrich Jiang

    3999-4006

    PDF
  • Gaussian-Induced Convolution for Graphs

    Jiatao Jiang, Zhen Cui, Chunyan Xu, Jian Yang

    4007-4014

    PDF
  • SCFont: Structure-Guided Chinese Font Generation via Deep Stacked Networks

    Yue Jiang, Zhouhui Lian, Yingmin Tang, Jianguo Xiao

    4015-4022

    PDF
  • Estimating the Days to Success of Campaigns in Crowdfunding: A Deep Survival Perspective

    Binbin Jin, Hongke Zhao, Enhong Chen, Qi Liu, Yong Ge

    4023-4030

    PDF
  • DoPAMINE: Double-Sided Masked CNN for Pixel Adaptive Multiplicative Noise Despeckling

    Sunghwan Joo, Sungmin Cha, Taesup Moon

    4031-4038

    PDF
  • Precision-Recall versus Accuracy and the Role of Large Data Sets

    Brendan Juba, Hai S. Le

    4039-4048

    PDF
  • Dimension-Free Error Bounds from Random Projections

    Ata Kabán

    4049-4056

    PDF
  • Similarity Learning via Kernel Preserving Embedding

    Zhao Kang, Yiwei Lu, Yuanzhang Su, Changsheng Li, Zenglin Xu

    4057-4064

    PDF
  • Tensorial Change Analysis Using Probabilistic Tensor Regression

    Tsuyoshi Idé

    3902-3909

    PDF
  • Complex Moment-Based Supervised Eigenmap for Dimensionality Reduction

    Akira Imakura, Momo Matsuda, Xiucai Ye, Tetsuya Sakurai

    3910-3918

    PDF
  • Estimating the Causal Effect from Partially Observed Time Series

    Akane Iseki, Yusuke Mukuta, Yoshitaka Ushiku, Tatsuya Harada

    3919-3926

    PDF
  • TAPAS: Train-Less Accuracy Predictor for Architecture Search

    R. Istrate, F. Scheidegger, G. Mariani, D. Nikolopoulos, C. Bekas, A. C. I. Malossi

    3927-3934

    PDF
  • Neural Collective Graphical Models for Estimating Spatio-Temporal Population Flow from Aggregated Data

    Tomoharu Iwata, Hitoshi Shimizu

    3935-3942

    PDF
  • Meta-Descent for Online, Continual Prediction

    Andrew Jacobsen, Matthew Schlegel, Cameron Linke, Thomas Degris, Adam White, Martha White

    3943-3950

    PDF
  • Hybrid Reinforcement Learning with Expert State Sequences

    Xiaoxiao Guo, Shiyu Chang, Mo Yu, Gerald Tesauro, Murray Campbell

    3739-3746

    PDF
  • Distributional Semantics Meets Multi-Label Learning

    Vivek Gupta, Rahul Wadbude, Nagarajan Natarajan, Harish Karnick, Prateek Jain, Piyush Rai

    3747-3754

    PDF
  • Temporal Anomaly Detection: Calibrating the Surprise

    Eyal Gutflaish, Aryeh Kontorovich, Sivan Sabato, Ofer Biller, Oded Sofer

    3755-3762

    PDF
  • Efficient and Scalable Multi-Task Regression on Massive Number of Tasks

    Xiao He, Francesco Alesiani, Ammar Shaker

    3763-3770

    PDF
  • Knowledge Distillation with Adversarial Samples Supporting Decision Boundary

    Byeongho Heo, Minsik Lee, Sangdoo Yun, Jin Young Choi

    3771-3778

    PDF
  • Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons

    Byeongho Heo, Minsik Lee, Sangdoo Yun, Jin Young Choi

    3779-3787

    PDF
  • The SpectACl of Nonconvex Clustering: A Spectral Approach to Density-Based Clustering

    Sibylle Hess, Wouter Duivesteijn, Philipp Honysz, Katharina Morik

    3788-3795

    PDF
  • Multi-Task Deep Reinforcement Learning with PopArt

    Matteo Hessel, Hubert Soyer, Lasse Espeholt, Wojciech Czarnecki, Simon Schmitt, Hado van Hasselt

    3796-3803

    PDF
  • Interaction-Aware Factorization Machines for Recommender Systems

    Fuxing Hong, Dongbo Huang, Ge Chen

    3804-3811

    PDF
  • Learning Anytime Predictions in Neural Networks via Adaptive Loss Balancing

    Hanzhang Hu, Debadeepta Dey, Martial Hebert, J. Andrew Bagnell

    3812-3821

    PDF
  • Learning to Adaptively Scale Recurrent Neural Networks

    Hao Hu, Liqiang Wang, Guo-Jun Qi

    3822-3829

    PDF
  • HERS: Modeling Influential Contexts with Heterogeneous Relations for Sparse and Cold-Start Recommendation

    Liang Hu, Songlei Jian, Longbing Cao, Zhiping Gu, Qingkui Chen, Artak Amirbekyan

    3830-3837

    PDF
  • One-Pass Incomplete Multi-View Clustering

    Menglei Hu, Songcan Chen

    3838-3845

    PDF
  • Multi-Fidelity Automatic Hyper-Parameter Tuning via Transfer Series Expansion

    Yi-Qi Hu, Yang Yu, Wei-Wei Tu, Qiang Yang, Yuqiang Chen, Wenyuan Dai

    3846-3853

    PDF
  • Efficient Quantization for Neural Networks with Binary Weights and Low Bitwidth Activations

    Kun Huang, Bingbing Ni, Xiaokang Yang

    3854-3861

    PDF
  • Efficient Identification of Approximate Best Configuration of Training in Large Datasets

    Silu Huang, Chi Wang, Bolin Ding, Surajit Chaudhuri

    3862-3869

    PDF
  • Bootstrap Estimated Uncertainty of the Environment Model for Model-Based Reinforcement Learning

    Wenzhen Huang, Junge Zhang, Kaiqi Huang

    3870-3877

    PDF
  • Large-Scale Heterogeneous Feature Embedding

    Xiao Huang, Qingquan Song, Fan Yang, Xia Hu

    3878-3885

    PDF
  • Manifold-Valued Image Generation with Wasserstein Generative Adversarial Nets

    Zhiwu Huang, Jiqing Wu, Luc Van Gool

    3886-3893

    PDF
  • Inter-Class Angular Loss for Convolutional Neural Networks

    Le Hui, Xiang Li, Chen Gong, Meng Fang, Joey Tianyi Zhou, Jian Yang

    3894-3901

    PDF
  • The Goldilocks Zone: Towards Better Understanding of Neural Network Loss Landscapes

    Stanislav Fort, Adam Scherlis

    3574-3581

    PDF
  • Combined Reinforcement Learning via Abstract Representations

    Vincent Francois-Lavet, Yoshua Bengio, Doina Precup, Joelle Pineau

    3582-3589

    PDF
  • Efficient Data Point Pruning for One-Class SVM

    Yasuhiro Fujiwara, Sekitoshi Kanai, Junya Arai, Yasutoshi Ida, Naonori Ueda

    3590-3597

    PDF
  • Fully Convolutional Network with Multi-Step Reinforcement Learning for Image Processing

    Ryosuke Furuta, Naoto Inoue, Toshihiko Yamasaki

    3598-3605

    PDF
  • Bayesian Posterior Approximation via Greedy Particle Optimization

    Futoshi Futami, Zhenghang Cui, Issei Sato, Masashi Sugiyama

    3606-3613

    PDF
  • Towards Reliable Learning for High Stakes Applications

    Jinyang Gao, Junjie Yao, Yingxia Shao

    3614-3621

    PDF
  • Explainable Recommendation through Attentive Multi-View Learning

    Jingyue Gao, Xiting Wang, Yasha Wang, Xing Xie

    3622-3629

    PDF
  • Wasserstein Soft Label Propagation on Hypergraphs: Algorithm and Generalization Error Bounds

    Tingran Gao, Shahab Asoodeh, Yi Huang, James Evans

    3630-3637

    PDF
  • Incomplete Label Multi-Task Deep Learning for Spatio-Temporal Event Subtype Forecasting

    Yuyang Gao, Liang Zhao, Lingfei Wu, Yanfang Ye, Hui Xiong, Chaowei Yang

    3638-3646

    PDF
  • Off-Policy Deep Reinforcement Learning by Bootstrapping the Covariate Shift

    Carles Gelada, Marc G. Bellemare

    3647-3655

    PDF
  • Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting

    Xu Geng, Yaguang Li, Leye Wang, Lingyu Zhang, Qiang Yang, Jieping Ye, Yan Liu

    3656-3663

    PDF
  • Counting and Sampling from Markov Equivalent DAGs Using Clique Trees

    AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash, Kun Zhang

    3664-3671

    PDF
  • Eliminating Latent Discrimination: Train Then Mask

    Soheil Ghili, Ehsan Kazemi, Amin Karbasi

    3672-3680

    PDF
  • Interpretation of Neural Networks Is Fragile

    Amirata Ghorbani, Abubakar Abid, James Zou

    3681-3688

    PDF
  • Using Benson’s Algorithm for Regularization Parameter Tracking

    Joachim Giesen, Sӧren Laue, Andreas Lӧhne, Christopher Schneider

    3689-3696

    PDF
  • Scalable and Efficient Pairwise Learning to Achieve Statistical Accuracy

    Bin Gu, Zhouyuan Huo, Heng Huang

    3697-3704

    PDF
  • AFS: An Attention-Based Mechanism for Supervised Feature Selection

    Ning Gui, Danni Ge, Ziyin Hu

    3705-3713

    PDF
  • MixUp as Locally Linear Out-of-Manifold Regularization

    Hongyu Guo, Yongyi Mao, Richong Zhang

    3714-3722

    PDF
  • Non-Autoregressive Neural Machine Translation with Enhanced Decoder Input

    Junliang Guo, Xu Tan, Di He, Tao Qin, Linli Xu, Tie-Yan Liu

    3723-3730

    PDF
  • Smooth Deep Image Generator from Noises

    Tianyu Guo, Chang Xu, Boxin Shi, Chao Xu, Dacheng Tao

    3731-3738

    PDF
  • Spatially Invariant Unsupervised Object Detection with Convolutional Neural Networks

    Eric Crawford, Joelle Pineau

    3412-3420

    PDF
  • Efficient Online Learning for Mapping Kernels on Linguistic Structures

    Giovanni Da San Martino, Alessandro Sperduti, Fabio Aiolli, Alessandro Moschitti

    3421-3428

    PDF
  • Learning Segmentation Masks with the Independence Prior

    Songmin Dai, Xiaoqiang Li, Lu Wang, Pin Wu, Weiqin Tong, Yimin Chen

    3429-3436

    PDF
  • Inverse Abstraction of Neural Networks Using Symbolic Interpolation

    Sumanth Dathathri, Sicun Gao, Richard M. Murray

    3437-3444

    PDF
  • Balanced Linear Contextual Bandits

    Maria Dimakopoulou, Zhengyuan Zhou, Susan Athey, Guido Imbens

    3445-3453

    PDF
  • Linear Kernel Tests via Empirical Likelihood for High-Dimensional Data

    Lizhong Ding, Zhi Liu, Yu Li, Shizhong Liao, Yong Liu, Peng Yang, Ge Yu, Ling Shao, Xin Gao

    3454-3461

    PDF
  • Approximate Kernel Selection with Strong Approximate Consistency

    Lizhong Ding, Yong Liu, Shizhong Liao, Yu Li, Peng Yang, Yijie Pan, Chao Huang, Ling Shao, Xin Gao

    3462-3469

    PDF
  • On-Line Adaptative Curriculum Learning for GANs

    Thang Doan, João Monteiro, Isabela Albuquerque, Bogdan Mazoure, Audrey Durand, Joelle Pineau, R. Devon Hjelm

    3470-3477

    PDF
  • Multistream Classification with Relative Density Ratio Estimation

    Bo Dong, Yang Gao, Swarup Chandra, Latifur Khan

    3478-3485

    PDF
  • Single-Label Multi-Class Image Classification by Deep Logistic Regression

    Qi Dong, Xiatian Zhu, Shaogang Gong

    3486-3493

    PDF
  • How to Combine Tree-Search Methods in Reinforcement Learning

    Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor

    3494-3501

    PDF
  • Human-Like Delicate Region Erasing Strategy for Weakly Supervised Detection

    Qing En, Lijuan Duan, Zhaoxiang Zhang, Xiang Bai, Yundong Zhang

    3502-3509

    PDF
  • Controllable Image-to-Video Translation: A Case Study on Facial Expression Generation

    Lijie Fan, Wenbing Huang, Chuang Gan, Junzhou Huang, Boqing Gong

    3510-3517

    PDF
  • Partial Multi-Label Learning via Credible Label Elicitation

    Jun-Peng Fang, Min-Ling Zhang

    3518-3525

    PDF
  • Improved Knowledge Graph Embedding Using Background Taxonomic Information

    Bahare Fatemi, Siamak Ravanbakhsh, David Poole

    3526-3533

    PDF
  • Unsupervised Feature Selection by Pareto Optimization

    Chao Feng, Chao Qian, Ke Tang

    3534-3541

    PDF
  • Partial Label Learning with Self-Guided Retraining

    Lei Feng, Bo An

    3542-3549

    PDF
  • Collaboration Based Multi-Label Learning

    Lei Feng, Bo An, Shuo He

    3550-3557

    PDF
  • Hypergraph Neural Networks

    Yifan Feng, Haoxuan You, Zizhao Zhang, Rongrong Ji, Yue Gao

    3558-3565

    PDF
  • Transductive Bounds for the Multi-Class Majority Vote Classifier

    Vasilii Feofanov, Emilie Devijver, Massih-Reza Amini

    3566-3573

    PDF
  • Deep Convolutional Sum-Product Networks

    Cory J. Butz, Jhonatan S. Oliveira, André E. dos Santos, André L. Teixeira

    3248-3255

    PDF
  • FRAME Revisited: An Interpretation View Based on Particle Evolution

    Xu Cai, Yang Wu, Guanbin Li, Ziliang Chen, Liang Lin

    3256-3263

    PDF
  • Dynamic Learning of Sequential Choice Bandit Problem under Marketing Fatigue

    Junyu Cao, Wei Sun

    3264-3271

    PDF
  • Adversarial Learning of Semantic Relevance in Text to Image Synthesis

    Miriam Cha, Youngjune L. Gwon, H. T. Kung

    3272-3279

    PDF
  • Towards Non-Saturating Recurrent Units for Modelling Long-Term Dependencies

    Sarath Chandar, Chinnadhurai Sankar, Eugene Vorontsov, Samira Ebrahimi Kahou, Yoshua Bengio

    3280-3287

    PDF
  • Disjoint Label Space Transfer Learning with Common Factorised Space

    Xiaobin Chang, Yongxin Yang, Tao Xiang, Timothy M. Hospedales

    3288-3295

    PDF
  • Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation

    Chao Chen, Zhihong Chen, Boyuan Jiang, Xinyu Jin

    3296-3303

    PDF
  • Two-Stage Label Embedding via Neural Factorization Machine for Multi-Label Classification

    Chen Chen, Haobo Wang, Weiwei Liu, Xingyuan Zhao, Tianlei Hu, Gang Chen

    3304-3311

    PDF
  • Large-Scale Interactive Recommendation with Tree-Structured Policy Gradient

    Haokun Chen, Xinyi Dai, Han Cai, Weinan Zhang, Xuejian Wang, Ruiming Tang, Yuzhou Zhang, Yong Yu

    3312-3320

    PDF
  • Distributionally Robust Semi-Supervised Learning for People-Centric Sensing

    Kaixuan Chen, Lina Yao, Dalin Zhang, Xiaojun Chang, Guodong Long, Sen Wang

    3321-3328

    PDF
  • Deep Neural Network Quantization via Layer-Wise Optimization Using Limited Training Data

    Shangyu Chen, Wenya Wang, Sinno Jialin Pan

    3329-3336

    PDF
  • EA-CG: An Approximate Second-Order Method for Training Fully-Connected Neural Networks

    Sheng-Wei Chen, Chun-Nan Chou, Edward Y. Chang

    3337-3346

    PDF
  • Data-Adaptive Metric Learning with Scale Alignment

    Shuo Chen, Chen Gong, Jian Yang, Ying Tai, Le Hui, Jun Li

    3347-3354

    PDF
  • A Layer Decomposition-Recomposition Framework for Neuron Pruning towards Accurate Lightweight Networks

    Weijie Chen, Yuan Zhang, Di Xie, Shiliang Pu

    3355-3362

    PDF
  • Embedding Uncertain Knowledge Graphs

    Xuelu Chen, Muhao Chen, Weijia Shi, Yizhou Sun, Carlo Zaniolo

    3363-3370

    PDF
  • Tensor Decomposition for Multilayer Networks Clustering

    Zitai Chen, Chuan Chen, Zibin Zheng, Yi Zhu

    3371-3378

    PDF
  • Image Block Augmentation for One-Shot Learning

    Zitian Chen, Yanwei Fu, Kaiyu Chen, Yu-Gang Jiang

    3379-3386

    PDF
  • End-to-End Safe Reinforcement Learning through Barrier Functions for Safety-Critical Continuous Control Tasks

    Richard Cheng, Gábor Orosz, Richard M. Murray, Joel W. Burdick

    3387-3395

    PDF
  • Utilizing Class Information for Deep Network Representation Shaping

    Daeyoung Choi, Wonjong Rhee

    3396-3403

    PDF
  • Diverse Exploration via Conjugate Policies for Policy Gradient Methods

    Andrew Cohen, Xingye Qiao, Lei Yu, Elliot Way, Xiangrong Tong

    3404-3411

    PDF
  • State Abstraction as Compression in Apprenticeship Learning

    David Abel, Dilip Arumugam, Kavosh Asadi, Yuu Jinnai, Michael L. Littman, Lawson L.S. Wong

    3134-3142

    PDF
  • An Exponential Tail Bound for the Deleted Estimate

    Karim Abou–Moustafa, Csaba Szepesvári

    3143-3150

    PDF
  • Model Learning for Look-Ahead Exploration in Continuous Control

    Arpit Agarwal, Katharina Muelling, Katerina Fragkiadaki

    3151-3158

    PDF
  • Character-Level Language Modeling with Deeper Self-Attention

    Rami Al-Rfou, Dokook Choe, Noah Constant, Mandy Guo, Llion Jones

    3159-3166

    PDF
  • Attacking Data Transforming Learners at Training Time

    Scott Alfeld, Ara Vartanian, Lucas Newman-Johnson, Benjamin I.P. Rubinstein

    3167-3174

    PDF
  • Hyperprior Induced Unsupervised Disentanglement of Latent Representations

    Abdul Fatir Ansari, Harold Soh

    3175-3182

    PDF
  • Adversarial Label Learning

    Chidubem Arachie, Bert Huang

    3183-3190

    PDF
  • Robust Negative Sampling for Network Embedding

    Mohammadreza Armandpour, Patrick Ding, Jianhua Huang, Xia Hu

    3191-3198

    PDF
  • Random Feature Maps for the Itemset Kernel

    Kyohei Atarashi, Subhransu Maji, Satoshi Oyama

    3199-3206

    PDF
  • High Dimensional Clustering with r-nets

    Georgia Avarikioti, Alain Ryser, Yuyi Wang, Roger Wattenhofer

    3207-3214

    PDF
  • Mode Variational LSTM Robust to Unseen Modes of Variation: Application to Facial Expression Recognition

    Wissam J. Baddar, Yong Man Ro

    3215-3223

    PDF
  • Enhanced Random Forest Algorithms for Partially Monotone Ordinal Classification

    Christopher Bartley, Wei Liu, Mark Reynolds

    3224-3231

    PDF
  • Online Learning from Data Streams with Varying Feature Spaces

    Ege Beyazit, Jeevithan Alagurajah, Xindong Wu

    3232-3239

    PDF
  • CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural Networks

    Akhilan Boopathy, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel

    3240-3247

    PDF

AAAI Technical Track: Multiagent Systems

  • Probabilistic Alternating-Time µ-Calculus

    Fu Song, Yedi Zhang, Taolue Chen, Yu Tang, Zhiwu Xu

    6179-6186

    PDF
  • An Abstraction-Based Method for Verifying Strategic Properties in Multi-Agent Systems with Imperfect Information

    Francesco Belardinelli, Alessio Lomuscio, Vadim Malvone

    6030-6037

    PDF
  • A Generic Approach to Accelerating Belief Propagation Based Incomplete Algorithms for DCOPs via a Branch-and-Bound Technique

    Ziyu Chen, Xingqiong Jiang, Yanchen Deng, Dingding Chen, Zhongshi He

    6038-6045

    PDF
  • Distributed Community Detection via Metastability of the 2-Choices Dynamics

    Emilio Cruciani, Emanuele Natale, Giacomo Scornavacca

    6046-6053

    PDF
  • Successor Features Based Multi-Agent RL for Event-Based Decentralized MDPs

    Tarun Gupta, Akshat Kumar, Praveen Paruchuri

    6054-6061

    PDF
  • IPOMDP-Net: A Deep Neural Network for Partially Observable Multi-Agent Planning Using Interactive POMDPs

    Yanlin Han, Piotr Gmytrasiewicz

    6062-6069

    PDF
  • General Robustness Evaluation of Incentive Mechanism against Bounded Rationality Using Continuum-Armed Bandits

    Zehong Hu, Jie Zhang, Zhao Li

    6070-6078

    PDF
  • Message-Dropout: An Efficient Training Method for Multi-Agent Deep Reinforcement Learning

    Woojun Kim, Myungsik Cho, Youngchul Sung

    6079-6086

    PDF
  • Symmetry-Breaking Constraints for Grid-Based Multi-Agent Path Finding

    Jiaoyang Li,Daniel Harabor,Peter J. Stuckey,Hang Ma,Sven Koenig

    6087-6095

    PDF
  • Multi-Agent Discussion Mechanism for Natural Language Generation

    Xu Li, Mingming Sun, Ping Li

    6096-6103

    PDF
  • Large Scale Learning of Agent Rationality in Two-Player Zero-Sum Games

    Chun Kai Ling, Fei Fang, J. Zico Kolter

    6104-6111

    PDF
  • Leveraging Observations in Bandits: Between Risks and Benefits

    Andrei Lupu, Audrey Durand, Doina Precup

    6112-6119

    PDF
  • TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-Agents

    Yuexin Ma, Xinge Zhu, Sibo Zhang, Ruigang Yang, Wenping Wang, Dinesh Manocha

    6120-6127

    PDF
  • Learning to Teach in Cooperative Multiagent Reinforcement Learning

    Shayegan Omidshafiei, Dong-Ki Kim, Miao Liu, Gerald Tesauro, Matthew Riemer, Christopher Amato, Murray Campbell, Jonathan P. How

    6128-6136

    PDF
  • Overcoming Blind Spots in the Real World: Leveraging Complementary Abilities for Joint Execution

    Ramya Ramakrishnan, Ece Kamar, Besmira Nushi, Debadeepta Dey, Julie Shah, Eric Horvitz

    6137-6145

    PDF
  • Evolution of Collective Fairness in Hybrid Populations of Humans and Agents

    Fernando P. Santos, Jorge M. Pacheco, Ana Paiva, Francisco C. Santos

    6146-6153

    PDF
  • Multi-Winner Contests for Strategic Diffusion in Social Networks

    Wen Shen, Yang Feng, Cristina V. Lopes

    6154-6162

    PDF
  • Theory of Minds: Understanding Behavior in Groups through Inverse Planning

    Michael Shum, Max Kleiman-Weiner, Michael L. Littman, Joshua B. Tenenbaum

    6163-6170

    PDF
  • Multiagent Decision Making For Maritime Traffic Management

    Arambam James Singh, Duc Thien Nguyen, Akshat Kumar, Hoong Chuin Lau

    6171-6178

    PDF
  • Bayesian Execution Skill Estimation

    Christopher Archibald, Delma Nieves-Rivera

    6014-6021

    PDF
  • Consensus in Opinion Formation Processes in Fully Evolving Environments

    Vincenzo Auletta, Angelo Fanelli, Diodato Ferraioli

    6022-6029

    PDF
  • Verification of RNN-Based Neural Agent-Environment Systems

    Michael E. Akintunde, Andreea Kevorchian, Alessio Lomuscio, Edoardo Pirovano

    6006-6013

    PDF

AAAI Technical Track: Natural Language Processing

  • Generating Character Descriptions for Automatic Summarization of Fiction

    Weiwei Zhang, Jackie Chi Kit Cheung, Joel Oren

    7476-7483

    PDF
  • Multi-Labeled Relation Extraction with Attentive Capsule Network

    Xinsong Zhang, Pengshuai Li, Weijia Jia, Hai Zhao

    7484-7491

    PDF
  • An Affect-Rich Neural Conversational Model with Biased Attention and Weighted Cross-Entropy Loss

    Peixiang Zhong, Di Wang, Chunyan Miao

    7492-7500

    PDF
  • Adaptive Region Embedding for Text Classification

    Liuyu Xiang, Xiaoming Jin, Lan Yi, Guiguang Ding

    7314-7321

    PDF
  • Quantifying Uncertainties in Natural Language Processing Tasks

    Yijun Xiao, William Yang Wang

    7322-7329

    PDF
  • Distributed Representation of Words in Cause and Effect Spaces

    Zhipeng Xie, Feiteng Mu

    7330-7337

    PDF
  • Modeling Coherence for Discourse Neural Machine Translation

    Hao Xiong, Zhongjun He, Hua Wu, Haifeng Wang

    7338-7345

    PDF
  • End-to-End Knowledge-Routed Relational Dialogue System for Automatic Diagnosis

    Lin Xu, Qixian Zhou, Ke Gong, Xiaodan Liang, Jianheng Tang, Liang Lin

    7346-7353

    PDF
  • A Deep Cascade Model for Multi-Document Reading Comprehension

    Ming Yan, Jiangnan Xia, Chen Wu, Bin Bi, Zhongzhou Zhao, Ji Zhang, Luo Si, Rui Wang, Wei Wang, Haiqing Chen

    7354-7361

    PDF
  • Exploring Human-Like Reading Strategy for Abstractive Text Summarization

    Min Yang, Qiang Qu, Wenting Tu, Ying Shen, Zhou Zhao, Xiaojun Chen

    7362-7369

    PDF
  • Graph Convolutional Networks for Text Classification

    Liang Yao, Chengsheng Mao, Yuan Luo

    7370-7377

    PDF
  • Plan-and-Write: Towards Better Automatic Storytelling

    Lili Yao, Nanyun Peng, Ralph Weischedel, Kevin Knight, Dongyan Zhao, Rui Yan

    7378-7385

    PDF
  • ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks

    Michihiro Yasunaga, Jungo Kasai, Rui Zhang, Alexander R. Fabbri, Irene Li, Dan Friedman, Dragomir R. Radev

    7386-7393

    PDF
  • TopicEq: A Joint Topic and Mathematical Equation Model for Scientific Texts

    Michihiro Yasunaga, John D. Lafferty

    7394-7401

    PDF
  • Data Augmentation for Spoken Language Understanding via Joint Variational Generation

    Kang Min Yoo, Youhyun Shin, Sang-goo Lee

    7402-7409

    PDF
  • Combining Axiom Injection and Knowledge Base Completion for Efficient Natural Language Inference

    Masashi Yoshikawa, Koji Mineshima, Hiroshi Noji, Daisuke Bekki

    7410-7417

    PDF
  • Distant Supervision for Relation Extraction with Linear Attenuation Simulation and Non-IID Relevance Embedding

    Changsen Yuan, Heyan Huang, Chong Feng, Xiao Liu, Xiaochi Wei

    7418-7425

    PDF
  • Exploring Answer Stance Detection with Recurrent Conditional Attention

    Jianhua Yuan, Yanyan Zhao, Jingfang Xu, Bing Qin

    7426-7433

    PDF
  • Bidirectional Transition-Based Dependency Parsing

    Yunzhe Yuan, Yong Jiang, Kewei Tu

    7434-7441

    PDF
  • DRr-Net: Dynamic Re-Read Network for Sentence Semantic Matching

    Kun Zhang, Guangyi Lv, Linyuan Wang, Le Wu, Enhong Chen, Fangzhao Wu, Xing Xie

    7442-7449

    PDF
  • A Generalized Language Model in Tensor Space

    Lipeng Zhang, Peng Zhang, Xindian Ma, Shuqin Gu, Zhan Su, Dawei Song

    7450-7458

    PDF
  • Generating Chinese Ci with Designated Metrical Structure

    Richong Zhang, Xinyu Liu, Xinwei Chen, Zhiyuan Hu, Zhaoqing Xu, Yongyi Mao

    7459-7467

    PDF
  • A Neural Network Approach to Verb Phrase Ellipsis Resolution

    Wei-Nan Zhang, Yue Zhang, Yuanxing Liu, Donglin Di, Ting Liu

    7468-7475

    PDF
  • Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph Embedding

    Peifeng Wang, Jialong Han, Chenliang Li, Rong Pan

    7152-7159

    PDF
  • Chinese NER with Height-Limited Constituent Parsing

    Rui Wang, Xin Xin, Wei Chang, Kun Ming, Biao Li, Xin Fan

    7160-7167

    PDF
  • A Multi-Agent Communication Framework for Question-Worthy Phrase Extraction and Question Generation

    Siyuan Wang, Zhongyu Wei, Zhihao Fan, Yang Liu, Xuanjing Huang

    7168-7175

    PDF
  • A Task in a Suit and a Tie: Paraphrase Generation with Semantic Augmentation

    Su Wang, Rahul Gupta, Nancy Chang, Jason Baldridge

    7176-7183

    PDF
  • Hierarchical Attention Networks for Sentence Ordering

    Tianming Wang, Xiaojun Wan

    7184-7191

    PDF
  • Transferable Interactive Memory Network for Domain Adaptation in Fine-Grained Opinion Extraction

    Wenya Wang, Sinno Jialin Pan

    7192-7199

    PDF
  • Unsupervised Learning Helps Supervised Neural Word Segmentation

    Xiaobin Wang, Deng Cai, Linlin Li, Guangwei Xu, Hai Zhao, Luo Si

    7200-7207

    PDF
  • Improving Natural Language Inference Using External Knowledge in the Science Questions Domain

    Xiaoyan Wang, Pavan Kapanipathi, Ryan Musa, Mo Yu, Kartik Talamadupula, Ibrahim Abdelaziz, Maria Chang, Achille Fokoue, Bassem Makni, Nicholas Mattei, Michael Witbrock

    7208-7215

    PDF
  • Words Can Shift: Dynamically Adjusting Word Representations Using Nonverbal Behaviors

    Yansen Wang, Ying Shen, Zhun Liu, Paul Pu Liang, Amir Zadeh, Louis-Philippe Morency

    7216-7223

    PDF
  • A Deep Reinforcement Learning Based Multi-Step Coarse to Fine Question Answering (MSCQA) System

    Yu Wang, Hongxia Jin

    7224-7232

    PDF
  • When Do Words Matter? Understanding the Impact of Lexical Choice on Audience Perception Using Individual Treatment Effect Estimation

    Zhao Wang, Aron Culotta

    7233-7240

    PDF
  • Better Fine-Tuning via Instance Weighting for Text Classification

    Zhi Wang, Wei Bi, Yan Wang, Xiaojiang Liu

    7241-7248

    PDF
  • A Topic-Aware Reinforced Model for Weakly Supervised Stance Detection

    Penghui Wei, Wenji Mao, Guandan Chen

    7249-7256

    PDF
  • Translating with Bilingual Topic Knowledge for Neural Machine Translation

    Xiangpeng Wei, Yue Hu, Luxi Xing, Yipeng Wang, Li Gao

    7257-7264

    PDF
  • Reverse-Engineering Satire, or “Paper on Computational Humor Accepted despite Making Serious Advances”

    Robert West, Eric Horvitz

    7265-7272

    PDF
  • Improving Distantly Supervised Relation Extraction with Neural Noise Converter and Conditional Optimal Selector

    Shanchan Wu, Kai Fan, Qiong Zhang

    7273-7280

    PDF
  • Response Generation by Context-Aware Prototype Editing

    Yu Wu, Furu Wei, Shaohan Huang, Yunli Wang, Zhoujun Li, Ming Zhou

    7281-7288

    PDF
  • Switch-Based Active Deep Dyna-Q: Efficient Adaptive Planning for Task-Completion Dialogue Policy Learning

    Yuexin Wu, Xiujun Li, Jingjing Liu, Jianfeng Gao, Yiming Yang

    7289-7296

    PDF
  • Graph Based Translation Memory for Neural Machine Translation

    Mengzhou Xia, Guoping Huang, Lemao Liu, Shuming Shi

    7297-7304

    PDF
  • Syntax-Aware Neural Semantic Role Labeling

    Qingrong Xia, Zhenghua Li, Min Zhang, Meishan Zhang, Guohong Fu, Rui Wang, Luo Si

    7305-7313

    PDF
  • Learning to Embed Sentences Using Attentive Recursive Trees

    Jiaxin Shi, Lei Hou, Juanzi Li, Zhiyuan Liu, Hanwang Zhang

    6991-6998

    PDF
  • DeepChannel: Salience Estimation by Contrastive Learning for Extractive Document Summarization

    Jiaxin Shi, Chen Liang, Lei Hou, Juanzi Li, Zhiyuan Liu, Hanwang Zhang

    6999-7006

    PDF
  • A Deep Sequential Model for Discourse Parsing on Multi-Party Dialogues

    Zhouxing Shi, Minlie Huang

    7007-7014

    PDF
  • GlobalTrait: Personality Alignment of Multilingual Word Embeddings

    Farhad Bin Siddique, Dario Bertero, Pascale Fung

    7015-7022

    PDF
  • Exploring Knowledge Graphs in an Interpretable Composite Approach for Text Entailment

    Vivian S. Silva, André Freitas, Siegfried Handschuh

    7023-7030

    PDF
  • Fast PMI-Based Word Embedding with Efficient Use of Unobserved Patterns

    Behrouz Haji Soleimani, Stan Matwin

    7031-7038

    PDF
  • Distantly Supervised Entity Relation Extraction with Adapted Manual Annotations

    Changzhi Sun, Yuanbin Wu

    7039-7046

    PDF
  • Towards Sentence-Level Brain Decoding with Distributed Representations

    Jingyuan Sun, Shaonan Wang, Jiajun Zhang, Chengqing Zong

    7047-7054

    PDF
  • A Grammar-Based Structural CNN Decoder for Code Generation

    Zeyu Sun, Qihao Zhu, Lili Mou, Yingfei Xiong, Ge Li, Lu Zhang

    7055-7062

    PDF
  • QUAREL: A Dataset and Models for Answering Questions about Qualitative Relationships

    Oyvind Tafjord, Peter Clark, Matt Gardner, Wen-tau Yih, Ashish Sabharwal

    7063-7071

    PDF
  • A Hierarchical Framework for Relation Extraction with Reinforcement Learning

    Ryuichi Takanobu, Tianyang Zhang, Jiexi Liu, Minlie Huang

    7072-7079

    PDF
  • Jointly Extracting Multiple Triplets with Multilayer Translation Constraints

    Zhen Tan, Xiang Zhao, Wei Wang, Weidong Xiao

    7080-7087

    PDF
  • Multi-Matching Network for Multiple Choice Reading Comprehension

    Min Tang, Jiaran Cai, Hankz Hankui Zhuo

    7088-7095

    PDF
  • Generating Live Soccer-Match Commentary from Play Data

    Yasufumi Taniguchi, Yukun Feng, Hiroya Takamura, Manabu Okumura

    7096-7103

    PDF
  • Near-Lossless Binarization of Word Embeddings

    Julien Tissier, Christophe Gravier, Amaury Habrard

    7104-7111

    PDF
  • CompareLDA: A Topic Model for Document Comparison

    Maksim Tkachenko, Hady W. Lauw

    7112-7119

    PDF
  • A Natural Language Corpus of Common Grounding under Continuous and Partially-Observable Context

    Takuma Udagawa, Akiko Aizawa

    7120-7127

    PDF
  • Improving Hypernymy Prediction via Taxonomy Enhanced Adversarial Learning

    Chengyu Wang, Xiaofeng He, Aoying Zhou

    7128-7135

    PDF
  • What if We Simply Swap the Two Text Fragments? A Straightforward yet Effective Way to Test the Robustness of Methods to Confounding Signals in Nature Language Inference Tasks

    Haohan Wang, Da Sun, Eric P. Xing

    7136-7143

    PDF
  • Template-Based Math Word Problem Solvers with Recursive Neural Networks

    Lei Wang, Dongxiang Zhang, Jipeng Zhang, Xing Xu, Lianli Gao, Bing Tian Dai, Heng Tao Shen

    7144-7151

    PDF
  • Weakly-Supervised Hierarchical Text Classification

    Yu Meng, Jiaming Shen, Chao Zhang, Jiawei Han

    6826-6833

    PDF
  • CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling

    Ning Miao, Hao Zhou, Lili Mou, Rui Yan, Lei Li

    6834-6842

    PDF
  • Spell Once, Summon Anywhere: A Two-Level Open-Vocabulary Language Model

    Sebastian J. Mielke, Jason Eisner

    6843-6850

    PDF
  • One for All: Neural Joint Modeling of Entities and Events

    Trung Minh Nguyen, Thien Huu Nguyen

    6851-6858

    PDF
  • Combining Fact Extraction and Verification with Neural Semantic Matching Networks

    Yixin Nie, Haonan Chen, Mohit Bansal

    6859-6866

    PDF
  • Analyzing Compositionality-Sensitivity of NLI Models

    Yixin Nie, Yicheng Wang, Mohit Bansal

    6867-6874

    PDF
  • HAS-QA: Hierarchical Answer Spans Model for Open-Domain Question Answering

    Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Lixin Su, Xueqi Cheng

    6875-6882

    PDF
  • Paraphrase Diversification Using Counterfactual Debiasing

    Sunghyun Park, Seung-won Hwang, Fuxiang Chen, Jaegul Choo, Jung-Woo Ha, Sunghun Kim, Jinyeong Yim

    6883-6891

    PDF
  • Found in Translation: Learning Robust Joint Representations by Cyclic Translations between Modalities

    Hai Pham, Paul Pu Liang, Thomas Manzini, Louis-Philippe Morency, Barnabás Póczos

    6892-6899

    PDF
  • Unseen Word Representation by Aligning Heterogeneous Lexical Semantic Spaces

    Victor Prokhorov, Mohammad Taher Pilehvar, Dimitri Kartsaklis, Pietro Lio, Nigel Collier

    6900-6907

    PDF
  • Data-to-Text Generation with Content Selection and Planning

    Ratish Puduppully, Li Dong, Mirella Lapata

    6908-6915

    PDF
  • Jointly Learning to Label Sentences and Tokens

    Marek Rei, Anders Søgaard

    6916-6923

    PDF
  • Zero-Shot Neural Transfer for Cross-Lingual Entity Linking

    Shruti Rijhwani, Jiateng Xie, Graham Neubig, Jaime Carbonell

    6924-6931

    PDF
  • COALA: A Neural Coverage-Based Approach for Long Answer Selection with Small Data

    Andreas Rücklé, Nafise Sadat Moosavi, Iryna Gurevych

    6932-6939

    PDF
  • Revisiting LSTM Networks for Semi-Supervised Text Classification via Mixed Objective Function

    Devendra Singh Sachan, Manzil Zaheer, Ruslan Salakhutdinov

    6940-6948

    PDF
  • A Hierarchical Multi-Task Approach for Learning Embeddings from Semantic Tasks

    Victor Sanh, Thomas Wolf, Sebastian Ruder

    6949-6956

    PDF
  • On Resolving Ambiguous Anaphoric Expressions in Imperative Discourse

    Vasanth Sarathy, Matthias Scheutz

    6957-6964

    PDF
  • Learning Semantic Representations for Novel Words: Leveraging Both Form and Context

    Timo Schick, Hinrich Schütze

    6965-6973

    PDF
  • Challenges in the Automatic Analysis of Students’ Diagnostic Reasoning

    Claudia Schulz, Christian M. Meyer, Iryna Gurevych

    6974-6981

    PDF
  • Analysis of Joint Multilingual Sentence Representations and Semantic K-Nearest Neighbor Graphs

    Holger Schwenk, Douwe Kiela, Matthijs Douze

    6982-6990

    PDF
  • Knowledge-Driven Encode, Retrieve, Paraphrase for Medical Image Report Generation

    Christy Y. Li, Xiaodan Liang, Zhiting Hu, Eric P. Xing

    6666-6673

    PDF
  • What Should I Learn First: Introducing LectureBank for NLP Education and Prerequisite Chain Learning

    Irene Li, Alexander R. Fabbri, Robert R. Tung, Dragomir R. Radev

    6674-6681

    PDF
  • Differentiated Distribution Recovery for Neural Text Generation

    Jianing Li, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng

    6682-6689

    PDF
  • Towards Personalized Review Summarization via User-Aware Sequence Network

    Junjie Li, Haoran Li, Chengqing Zong

    6690-6697

    PDF
  • Insufficient Data Can Also Rock! Learning to Converse Using Smaller Data with Augmentation

    Juntao Li, Lisong Qiu, Bo Tang, Dongmin Chen, Dongyan Zhao, Rui Yan

    6698-6705

    PDF
  • Neural Speech Synthesis with Transformer Network

    Naihan Li, Shujie Liu, Yanqing Liu, Sheng Zhao, Ming Liu

    6706-6713

    PDF
  • A Unified Model for Opinion Target Extraction and Target Sentiment Prediction

    Xin Li, Lidong Bing, Piji Li, Wai Lam

    6714-6721

    PDF
  • Dialogue Generation: From Imitation Learning to Inverse Reinforcement Learning

    Ziming Li, Julia Kiseleva, Maarten de Rijke

    6722-6729

    PDF
  • Dependency or Span, End-to-End Uniform Semantic Role Labeling

    Zuchao Li, Shexia He, Hai Zhao, Yiqing Zhang, Zhuosheng Zhang, Xi Zhou, Xiang Zhou

    6730-6737

    PDF
  • A Generalized Idiom Usage Recognition Model Based on Semantic Compatibility

    Changsheng Liu, Rebecca Hwa

    6738-6745

    PDF
  • Leveraging Web Semantic Knowledge in Word Representation Learning

    Haoyan Liu, Lei Fang, Jian-Guang Lou, Zhoujun Li

    6746-6753

    PDF
  • Exploiting the Ground-Truth: An Adversarial Imitation Based Knowledge Distillation Approach for Event Detection

    Jian Liu, Yubo Chen, Kang Liu

    6754-6761

    PDF
  • Contextualized Non-Local Neural Networks for Sequence Learning

    Pengfei Liu, Shuaichen Chang, Xuanjing Huang, Jian Tang, Jackie Chi Kit Cheung

    6762-6769

    PDF
  • FANDA: A Novel Approach to Perform Follow-Up Query Analysis

    Qian Liu, Bei Chen, Jian-Guang Lou, Ge Jin, Dongmei Zhang

    6770-6777

    PDF
  • Unsupervised Post-Processing of Word Vectors via Conceptor Negation

    Tianlin Liu, Lyle Ungar, João Sedoc

    6778-6785

    PDF
  • Hierarchical Encoder with Auxiliary Supervision for Neural Table-to-Text Generation: Learning Better Representation for Tables

    Tianyu Liu, Fuli Luo, Qiaolin Xia, Shuming Ma, Baobao Chang, Zhifang Sui

    6786-6793

    PDF
  • Learning Personalized End-to-End Goal-Oriented Dialog

    Liangchen Luo, Wenhao Huang, Qi Zeng, Zaiqing Nie, Xu Sun

    6794-6801

    PDF
  • SAM-Net: Integrating Event-Level and Chain-Level Attentions to Predict What Happens Next

    Shangwen Lv, Wanhui Qian, Longtao Huang, Jizhong Han, Songlin Hu

    6802-6809

    PDF
  • LiveBot: Generating Live Video Comments Based on Visual and Textual Contexts

    Shuming Ma, Lei Cui, Damai Dai, Furu Wei, Xu Sun

    6810-6817

    PDF
  • DialogueRNN: An Attentive RNN for Emotion Detection in Conversations

    Navonil Majumder, Soujanya Poria, Devamanyu Hazarika, Rada Mihalcea, Alexander Gelbukh, Erik Cambria

    6818-6825

    PDF
  • Document Informed Neural Autoregressive Topic Models with Distributional Prior

    Pankaj Gupta, Yatin Chaudhary, Florian Buettner, Hinrich Schütze

    6505-6512

    PDF
  • Neural Relation Extraction within and across Sentence Boundaries

    Pankaj Gupta, Subburam Rajaram, Hinrich Schütze, Thomas Runkler

    6513-6520

    PDF
  • PARABANK: Monolingual Bitext Generation and Sentential Paraphrasing via Lexically-Constrained Neural Machine Translation

    J. Edward Hu, Rachel Rudinger, Matt Post, Benjamin Van Durme

    6521-6528

    PDF
  • Read + Verify: Machine Reading Comprehension with Unanswerable Questions

    Minghao Hu, Furu Wei, Yuxing Peng, Zhen Huang, Nan Yang, Dongsheng Li

    6529-6537

    PDF
  • Recurrent Poisson Process Unit for Speech Recognition

    Hengguan Huang, Hao Wang, Brian Mak

    6538-6545

    PDF
  • Dictionary-Guided Editing Networks for Paraphrase Generation

    Shaohan Huang, Yu Wu, Furu Wei, Zhongzhi Luan

    6546-6553

    PDF
  • Unsupervised Controllable Text Formalization

    Parag Jain, Abhijit Mishra, Amar Prakash Azad, Karthik Sankaranarayanan

    6554-6561

    PDF
  • Word Embedding as Maximum A Posteriori Estimation

    Shoaib Jameel, Zihao Fu, Bei Shi, Wai Lam, Steven Schockaert

    6562-6569

    PDF
  • Understanding Actors and Evaluating Personae with Gaussian Embeddings

    Hannah Kim, Denys Katerenchuk, Daniel Billet, Jun Huan, Haesun Park, Boyang Li

    6570-6577

    PDF
  • Predicting the Argumenthood of English Prepositional Phrases

    Najoung Kim, Kyle Rawlins, Benjamin Van Durme, Paul Smolensky

    6578-6585

    PDF
  • Semantic Sentence Matching with Densely-Connected Recurrent and Co-Attentive Information

    Seonhoon Kim, Inho Kang, Nojun Kwak

    6586-6593

    PDF
  • Dynamic Compositionality in Recursive Neural Networks with Structure-Aware Tag Representations

    Taeuk Kim, Jihun Choi, Daniel Edmiston, Sanghwan Bae, Sang-goo Lee

    6594-6601

    PDF
  • Improving Neural Question Generation Using Answer Separation

    Yanghoon Kim, Hwanhee Lee, Joongbo Shin, Kyomin Jung

    6602-6609

    PDF
  • Domain Agnostic Real-Valued Specificity Prediction

    Wei-Jen Ko, Greg Durrett, Junyi Jessy Li

    6610-6617

    PDF
  • Neural Machine Translation with Adequacy-Oriented Learning

    Xiang Kong, Zhaopeng Tu, Shuming Shi, Eduard Hovy, Tong Zhang

    6618-6625

    PDF
  • Fast and Simple Mixture of Softmaxes with BPE and Hybrid-LightRNN for Language Generation

    Xiang Kong, Qizhe Xie, Zihang Dai, Eduard Hovy

    6626-6633

    PDF
  • Lattice CNNs for Matching Based Chinese Question Answering

    Yuxuan Lai, Yansong Feng, Xiaohan Yu, Zheng Wang, Kun Xu, Dongyan Zhao

    6634-6641

    PDF
  • Zero-Shot Adaptive Transfer for Conversational Language Understanding

    Sungjin Lee, Rahul Jha

    6642-6649

    PDF
  • A Human-Like Semantic Cognition Network for Aspect-Level Sentiment Classification

    Zeyang Lei, Yujiu Yang, Min Yang, Wei Zhao, Jun Guo, Yi Liu

    6650-6657

    PDF
  • Dependency Grammar Induction with a Neural Variational Transition-Based Parser

    Bowen Li, Jianpeng Cheng, Yang Liu, Frank Keller

    6658-6665

    PDF
  • From Independent Prediction to Reordered Prediction: Integrating Relative Position and Global Label Information to Emotion Cause Identification

    Zixiang Ding, Huihui He, Mengran Zhang, Rui Xia

    6343-6350

    PDF
  • Adapting Translation Models for Transcript Disfluency Detection

    Qianqian Dong, Feng Wang, Zhen Yang, Wei Chen, Shuang Xu, Bo Xu

    6351-6358

    PDF
  • Explicit Interaction Model towards Text Classification

    Cunxiao Du, Zhaozheng Chen, Fuli Feng, Lei Zhu, Tian Gan, Liqiang Nie

    6359-6366

    PDF
  • “Bilingual Expert” Can Find Translation Errors

    Kai Fan, Jiayi Wang, Bo Li, Fengming Zhou, Boxing Chen, Luo Si

    6367-6374

    PDF
  • EA Reader: Enhance Attentive Reader for Cloze-Style Question Answering via Multi-Space Context Fusion

    Chengzhen Fu, Yan Zhang

    6375-6382

    PDF
  • Generating Multiple Diverse Responses for Short-Text Conversation

    Jun Gao, Wei Bi, Xiaojiang Liu, Junhui Li, Shuming Shi

    6383-6390

    PDF
  • Structured Two-Stream Attention Network for Video Question Answering

    Lianli Gao, Pengpeng Zeng, Jingkuan Song, Yuan-Fang Li, Wu Liu, Tao Mei, Heng Tao Shen

    6391-6398

    PDF
  • Abstractive Text Summarization by Incorporating Reader Comments

    Shen Gao, Xiuying Chen, Piji Li, Zhaochun Ren, Lidong Bing, Dongyan Zhao, Rui Yan

    6399-6406

    PDF
  • Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification

    Tianyu Gao, Xu Han, Zhiyuan Liu, Maosong Sun

    6407-6414

    PDF
  • Predicting and Analyzing Language Specificity in Social Media Posts

    Yifan Gao, Yang Zhong, Daniel Preoţiuc-Pietro, Junyi Jessy Li

    6415-6422

    PDF
  • Generating Distractors for Reading Comprehension Questions from Real Examinations

    Yifan Gao, Lidong Bing, Piji Li, Irwin King, Michael R. Lyu

    6423-6430

    PDF
  • Kernelized Hashcode Representations for Relation Extraction

    Sahil Garg, Aram Galstyan, Greg Ver Steeg, Irina Rish, Guillermo Cecchi, Shuyang Gao

    6431-6440

    PDF
  • MNCN: A Multilingual Ngram-Based Convolutional Network for Aspect Category Detection in Online Reviews

    Erfan Ghadery, Sajad Movahedi, Heshaam Faili, Azadeh Shakery

    6441-6448

    PDF
  • Sentence-Wise Smooth Regularization for Sequence to Sequence Learning

    Chengyue Gong, Xu Tan, Di He, Tao Qin

    6449-6456

    PDF
  • Switch-LSTMs for Multi-Criteria Chinese Word Segmentation

    Jingjing Gong, Xinchi Chen, Tao Gui, Xipeng Qiu

    6457-6464

    PDF
  • Deep Cascade Multi-Task Learning for Slot Filling in Online Shopping Assistant

    Yu Gong, Xusheng Luo, Yu Zhu, Wenwu Ou, Zhao Li, Muhua Zhu, Kenny Q. Zhu, Lu Duan, Xi Chen

    6465-6472

    PDF
  • Story Ending Generation with Incremental Encoding and Commonsense Knowledge

    Jian Guan, Yansen Wang, Minlie Huang

    6473-6480

    PDF
  • Long Short-Term Memory with Dynamic Skip Connections

    Tao Gui, Qi Zhang, Lujun Zhao, Yaosong Lin, Minlong Peng, Jingjing Gong, Xuanjing Huang

    6481-6488

    PDF
  • Gaussian Transformer: A Lightweight Approach for Natural Language Inference

    Maosheng Guo, Yu Zhang, Ting Liu

    6489-6496

    PDF
  • GIRNet: Interleaved Multi-Task Recurrent State Sequence Models

    Divam Gupta, Tanmoy Chakraborty, Soumen Chakrabarti

    6497-6504

    PDF
  • Enriching Word Embeddings with a Regressor Instead of Labeled Corpora

    Mohamed Abdalla, Magnus Sahlgren, Graeme Hirst

    6188-6195

    PDF
  • Online Embedding Compression for Text Classification Using Low Rank Matrix Factorization

    Anish Acharya, Rahul Goel, Angeliki Metallinou, Inderjit Dhillon

    6196-6203

    PDF
  • Antonym-Synonym Classification Based on New Sub-Space Embeddings

    Muhammad Asif Ali, Yifang Sun, Xiaoling Zhou, Wei Wang, Xiang Zhao

    6204-6211

    PDF
  • AutoSense Model for Word Sense Induction

    Reinald Kim Amplayo, Seung-won Hwang, Min Song

    6212-6219

    PDF
  • Re-Evaluating ADEM: A Deeper Look at Scoring Dialogue Responses

    Ananya B. Sai, Mithun Das Gupta, Mitesh M. Khapra, Mukundhan Srinivasan

    6220-6227

    PDF
  • Automated Rule Base Completion as Bayesian Concept Induction

    Zied Bouraoui, Steven Schockaert

    6228-6235

    PDF
  • GRN: Gated Relation Network to Enhance Convolutional Neural Network for Named Entity Recognition

    Hui Chen, Zijia Lin, Guiguang Ding, Jianguang Lou, Yusen Zhang, Borje Karlsson

    6236-6243

    PDF
  • Incorporating Structured Commonsense Knowledge in Story Completion

    Jiaao Chen, Jianshu Chen, Zhou Yu

    6244-6251

    PDF
  • Deep Short Text Classification with Knowledge Powered Attention

    Jindong Chen, Yizhou Hu, Jingping Liu, Yanghua Xiao, Haiyun Jiang

    6252-6259

    PDF
  • Transfer Learning for Sequence Labeling Using Source Model and Target Data

    Lingzhen Chen, Alessandro Moschitti

    6260-6267

    PDF
  • Title-Guided Encoding for Keyphrase Generation

    Wang Chen, Yifan Gao, Jiani Zhang, Irwin King, Michael R. Lyu

    6268-6275

    PDF
  • Convolutional Spatial Attention Model for Reading Comprehension with Multiple-Choice Questions

    Zhipeng Chen, Yiming Cui, Wentao Ma, Shijin Wang, Guoping Hu

    6276-6283

    PDF
  • Implicit Argument Prediction as Reading Comprehension

    Pengxiang Cheng, Katrin Erk

    6284-6291

    PDF
  • Recurrent Stacking of Layers for Compact Neural Machine Translation Models

    Raj Dabre, Atsushi Fujita

    6292-6299

    PDF
  • Joint Extraction of Entities and Overlapping Relations Using Position-Attentive Sequence Labeling

    Dai Dai, Xinyan Xiao, Yajuan Lyu, Shan Dou, Qiaoqiao She, Haifeng Wang

    6300-6308

    PDF
  • What Is One Grain of Sand in the Desert? Analyzing Individual Neurons in Deep NLP Models

    Fahim Dalvi, Nadir Durrani, Hassan Sajjad, Yonatan Belinkov, Anthony Bau, James Glass

    6309-6317

    PDF
  • Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering

    Yang Deng, Yuexiang Xie, Yaliang Li, Min Yang, Nan Du, Wei Fan, Kai Lei, Ying Shen

    6318-6325

    PDF
  • Training Temporal Word Embeddings with a Compass

    Valerio Di Carlo, Federico Bianchi, Matteo Palmonari

    6326-6334

    PDF
  • A Pattern-Based Approach to Recognizing Time Expressions

    Wentao Ding, Guanji Gao, Linfeng Shi, Yuzhong Qu

    6335-6342

    PDF

AAAI Technical Track: Planning, Routing, and Scheduling

  • Searching with Consistent Prioritization for Multi-Agent Path Finding

    Hang Ma, Daniel Harabor, Peter J. Stuckey, Jiaoyang Li, Sven Koenig

    7643-7650

    PDF
  • Lifelong Path Planning with Kinematic Constraints for Multi-Agent Pickup and Delivery

    Hang Ma, Wolfgang Hönig, T. K. Satish Kumar, Nora Ayanian, Sven Koenig

    7651-7658

    PDF
  • Performance Guarantees for Homomorphisms beyond Markov Decision Processes

    Sultan Javed Majeed, Marcus Hutter

    7659-7666

    PDF
  • Sliding Window Temporal Graph Coloring

    George B. Mertzios, Hendrik Molter, Viktor Zamaraev

    7667-7674

    PDF
  • Temporal Planning with Temporal Metric Trajectory Constraints

    Andrea Micheli, Enrico Scala

    7675-7682

    PDF
  • Automated Verification of Social Laws for Continuous Time Multi-Robot Systems

    Ronen Nir, Erez Karpas

    7683-7690

    PDF
  • Acting and Planning Using Operational Models

    Sunandita Patra, Malik Ghallab, Dana Nau, Paolo Traverso

    7691-7698

    PDF
  • Distribution-Based Semi-Supervised Learning for Activity Recognition

    Hangwei Qian, Sinno Jialin Pan, Chunyan Miao

    7699-7706

    PDF
  • An Innovative Genetic Algorithm for the Quantum Circuit Compilation Problem

    Riccardo Rasconi, Angelo Oddi

    7707-7714

    PDF
  • Deep Learning for Cost-Optimal Planning: Task-Dependent Planner Selection

    Silvan Sievers, Michael Katz, Shirin Sohrabi, Horst Samulowitz, Patrick Ferber

    7715-7723

    PDF
  • Rotational Diversity in Multi-Cycle Assignment Problems

    Helge Spieker, Arnaud Gotlieb, Morten Mossige

    7724-7731

    PDF
  • Online Multi-Agent Pathfinding

    Jiří Švancara, Marek Vlk, Roni Stern, Dor Atzmon, Roman Barták

    7732-7739

    PDF
  • Plan-Length Bounds: Beyond 1-Way Dependency

    Mohammad Abdulaziz

    7502-7510

    PDF
  • Measurement Maximizing Adaptive Sampling with Risk Bounding Functions

    Benjamin Ayton, Brian Williams, Richard Camilli

    7511-7519

    PDF
  • Bringing Order to Chaos – A Compact Representation of Partial Order in SAT-Based HTN Planning

    Gregor Behnke, Daniel Höller, Susanne Biundo

    7520-7529

    PDF
  • Deep Reactive Policies for Planning in Stochastic Nonlinear Domains

    Thiago P. Bueno, Leliane N. de Barros, Denis D. Mauá, Scott Sanner

    7530-7537

    PDF
  • Robustness Envelopes for Temporal Plans

    Michael Cashmore, Alessandro Cimatti, Daniele Magazzeni, Andrea Micheli, Parisa Zehtabi

    7538-7545

    PDF
  • Improving Domain-Independent Planning via Critical Section Macro-Operators

    Lukáš Chrpa, Mauro Vallati

    7546-7553

    PDF
  • Efficient Temporal Planning Using Metastates

    Amanda Coles, Andrew Coles, J. Christopher Beck

    7554-7561

    PDF
  • Efficiently Reasoning with Interval Constraints in Forward Search Planning

    Amanda Coles, Andrew Coles, Moises Martinez, Emre Savas, Juan Manuel Delfa, Tomás de la Rosa, Yolanda E-Martín, Angel García-Olaya

    7562-7569

    PDF
  • Learning Resource Allocation and Pricing for Cloud Profit Maximization

    Bingqian Du, Chuan Wu, Zhiyi Huang

    7570-7577

    PDF
  • Refining Abstraction Heuristics during Real-Time Planning

    Rebecca Eifler, Maximilian Fickert, Jörg Hoffmann, Wheeler Ruml

    7578-7585

    PDF
  • Operator Mutexes and Symmetries for Simplifying Planning Tasks

    Daniel Fišer, Álvaro Torralba, Alexander Shleyfman

    7586-7593

    PDF
  • Solving Multiagent Planning Problems with Concurrent Conditional Effects

    Daniel Furelos-Blanco, Anders Jonsson

    7594-7601

    PDF
  • Learning How to Ground a Plan – Partial Grounding in Classical Planning

    Daniel Gnad, Álvaro Torralba, Martín Domínguez, Carlos Areces, Facundo Bustos

    7602-7609

    PDF
  • Generalized Planning via Abstraction: Arbitrary Numbers of Objects

    León Illanes, Sheila A. McIlraith

    7610-7618

    PDF
  • Red-Black Heuristics for Planning Tasks with Conditional Effects

    Michael Katz

    7619-7626

    PDF
  • Multi-Agent Path Finding for Large Agents

    Jiaoyang Li,Pavel Surynek,Ariel Felner,Hang Ma,T. K. Satish Kumar,Sven Koenig

    7627-7634

    PDF
  • Moral Permissibility of Action Plans

    Felix Lindner, Robert Mattmüller, Bernhard Nebel

    7635-7642

    PDF

AAAI Technical Track: Reasoning under Uncertainty

  • Lifted Hinge-Loss Markov Random Fields

    Sriram Srinivasan, Behrouz Babaki, Golnoosh Farnadi, Lise Getoor

    7975-7983

    PDF
  • Counting and Sampling Markov Equivalent Directed Acyclic Graphs

    Topi Talvitie, Mikko Koivisto

    7984-7991

    PDF
  • Optimizing Discount and Reputation Trade-Offs in E-Commerce Systems: Characterization and Online Learning

    Hong Xie, Yongkun Li, John C. S. Lui

    7992-7999

    PDF
  • Efficient Optimal Approximation of Discrete Random Variables for Estimation of Probabilities of Missing Deadlines

    Liat Cohen, Gera Weiss

    7809-7815

    PDF
  • Fast Relational Probabilistic Inference and Learning: Approximate Counting via Hypergraphs

    Mayukh Das, Devendra Singh Dhami, Gautam Kunapuli, Kristian Kersting, Sriraam Natarajan

    7816-7824

    PDF
  • Exact and Approximate Weighted Model Integration with Probability Density Functions Using Knowledge Compilation

    Pedro Zuidberg Dos Martires, Anton Dries, Luc De Raedt

    7825-7833

    PDF
  • Marginal Inference in Continuous Markov Random Fields Using Mixtures

    Yuanzhen Guo, Hao Xiong, Nicholas Ruozzi

    7834-7841

    PDF
  • A Generative Model for Dynamic Networks with Applications

    Shubham Gupta, Gaurav Sharma, Ambedkar Dukkipati

    7842-7849

    PDF
  • Collective Online Learning of Gaussian Processes in Massive Multi-Agent Systems

    Trong Nghia Hoang, Quang Minh Hoang, Kian Hsiang Low, Jonathan How

    7850-7857

    PDF
  • MFBO-SSM: Multi-Fidelity Bayesian Optimization for Fast Inference in State-Space Models

    Mahdi Imani, Seyede Fatemeh Ghoreishi, Douglas Allaire, Ulisses M. Braga-Neto

    7858-7865

    PDF
  • Polynomial-Time Probabilistic Reasoning with Partial Observations via Implicit Learning in Probability Logics

    Brendan Juba

    7866-7875

    PDF
  • Randomized Strategies for Robust Combinatorial Optimization

    Yasushi Kawase, Hanna Sumita

    7876-7883

    PDF
  • Dirichlet Multinomial Mixture with Variational Manifold Regularization: Topic Modeling over Short Texts

    Ximing Li, Jiaojiao Zhang, Jihong Ouyang

    7884-7891

    PDF
  • Finding All Bayesian Network Structures within a Factor of Optimal

    Zhenyu A. Liao, Charupriya Sharma, James Cussens, Peter van Beek

    7892-7899

    PDF
  • Interleave Variational Optimization with Monte Carlo Sampling: A Tale of Two Approximate Inference Paradigms

    Qi Lou, Rina Dechter, Alexander Ihler

    7900-7907

    PDF
  • Robust Ordinal Embedding from Contaminated Relative Comparisons

    Ke Ma, Qianqian Xu, Xiaochun Cao

    7908-7915

    PDF
  • On Lifted Inference Using Neural Embeddings

    Mohammad Maminur Islam, Somdeb Sarkhel, Deepak Venugopal

    7916-7923

    PDF
  • Anytime Recursive Best-First Search for Bounding Marginal MAP

    Radu Marinescu, Akihiro Kishimoto, Adi Botea, Rina Dechter, Alexander Ihler

    7924-7932

    PDF
  • Semi-Parametric Sampling for Stochastic Bandits with Many Arms

    Mingdong Ou, Nan Li, Cheng Yang, Shenghuo Zhu, Rong Jin

    7933-7940

    PDF
  • Memory Bounded Open-Loop Planning in Large POMDPs Using Thompson Sampling

    Thomy Phan, Lenz Belzner, Marie Kiermeier, Markus Friedrich, Kyrill Schmid, Claudia Linnhoff-Popien

    7941-7948

    PDF
  • Rethinking the Discount Factor in Reinforcement Learning: A Decision Theoretic Approach

    Silviu Pitis

    7949-7956

    PDF
  • Structured Bayesian Networks: From Inference to Learning with Routes

    Yujia Shen, Anchal Goyanka, Adnan Darwiche, Arthur Choi

    7957-7965

    PDF
  • Compiling Bayesian Network Classifiers into Decision Graphs

    Andy Shih, Arthur Choi, Adnan Darwiche

    7966-7974

    PDF
  • Active Preference Learning Based on Generalized Gini Functions: Application to the Multiagent Knapsack Problem

    Nadjet Bourdache, Patrice Perny

    7741-7748

    PDF
  • Machine Teaching for Inverse Reinforcement Learning: Algorithms and Applications

    Daniel S. Brown, Scott Niekum

    7749-7758

    PDF
  • Robustness Guarantees for Bayesian Inference with Gaussian Processes

    Luca Cardelli, Marta Kwiatkowska, Luca Laurenti, Andrea Patane

    7759-7768

    PDF
  • Probabilistic Logic Programming with Beta-Distributed Random Variables

    Federico Cerutti, Lance Kaplan, Angelika Kimmig, Murat Şensoy

    7769-7776

    PDF
  • On Testing of Uniform Samplers

    Sourav Chakraborty, Kuldeep S. Meel

    7777-7784

    PDF
  • On the Hardness of Probabilistic Inference Relaxations

    Supratik Chakraborty, Kuldeep S. Meel, Moshe Y. Vardi

    7785-7792

    PDF
  • Learning Diverse Bayesian Networks

    Cong Chen, Changhe Yuan

    7793-7800

    PDF
  • Path-Specific Counterfactual Fairness

    Silvia Chiappa

    7801-7808

    PDF

AAAI Technical Track: Robotics

  • Depth Prediction without the Sensors: Leveraging Structure for Unsupervised Learning from Monocular Videos

    Vincent Casser, Soeren Pirk, Reza Mahjourian, Anelia Angelova

    8001-8008

    PDF
  • MotionTransformer: Transferring Neural Inertial Tracking between Domains

    Changhao Chen, Yishu Miao, Chris Xiaoxuan Lu, Linhai Xie, Phil Blunsom, Andrew Markham, Niki Trigoni

    8009-8016

    PDF
  • Adversarial Actor-Critic Method for Task and Motion Planning Problems Using Planning Experience

    Beomjoon Kim, Leslie Pack Kaelbling, Tomás Lozano-Pérez

    8017-8024

    PDF
  • Mirroring without Overimitation: Learning Functionally Equivalent Manipulation Actions

    Hangxin Liu, Chi Zhang, Yixin Zhu, Chenfanfu Jiang, Song-Chun Zhu

    8025-8033

    PDF
  • Visual Place Recognition via Robust ℓ2-Norm Distance Based Holism and Landmark Integration

    Kai Liu, Hua Wang, Fei Han, Hao Zhang

    8034-8041

    PDF
  • Deictic Image Mapping: An Abstraction for Learning Pose Invariant Manipulation Policies

    Robert Platt, Colin Kohler, Marcus Gualtieri

    8042-8049

    PDF
  • Personalized Robot Tutoring Using the Assistive Tutor POMDP (AT-POMDP)

    Aditi Ramachandran, Sarah Strohkorb Sebo, Brian Scassellati

    8050-8057

    PDF
  • That’s Mine! Learning Ownership Relations and Norms for Robots

    Zhi-Xuan Tan, Jake Brawer, Brian Scassellati

    8058-8065

    PDF
  • Probabilistic Model Checking of Robots Deployed in Extreme Environments

    Xingyu Zhao, Valentin Robu, David Flynn, Fateme Dinmohammadi, Michael Fisher, Matt Webster

    8066-8074

    PDF

AAAI Technical Track: Vision

  • Recurrent Attention Model for Pedestrian Attribute Recognition

    Xin Zhao, Liufang Sang, Guiguang Ding, Jungong Han, Na Di, Chenggang Yan

    9275-9282

    PDF
  • Learning Fully Dense Neural Networks for Image Semantic Segmentation

    Mingmin Zhen, Jinglu Wang, Lei Zhou, Tian Fang, Long Quan

    9283-9290

    PDF
  • Towards Optimal Fine Grained Retrieval via Decorrelated Centralized Loss with Normalize-Scale Layer

    Xiawu Zheng, Rongrong Ji, Xiaoshuai Sun, Baochang Zhang, Yongjian Wu, Feiyue Huang

    9291-9298

    PDF
  • Talking Face Generation by Adversarially Disentangled Audio-Visual Representation

    Hang Zhou, Yu Liu, Ziwei Liu, Ping Luo, Xiaogang Wang

    9299-9306

    PDF
  • A Robust and Efficient Algorithm for the PnL Problem Using Algebraic Distance to Approximate the Reprojection Distance

    Lipu Zhou, Yi Yang, Montiel Abello, Michael Kaess

    9307-9315

    PDF
  • Free VQA Models from Knowledge Inertia by Pairwise Inconformity Learning

    Yiyi Zhou, Rongrong Ji, Jinsong Su, Xiangming Li, Xiaoshuai Sun

    9316-9323

    PDF
  • Dynamic Capsule Attention for Visual Question Answering

    Yiyi Zhou, Rongrong Ji, Jinsong Su, Xiaoshuai Sun, Weiqiu Chen

    9324-9331

    PDF
  • Singe Image Rain Removal with Unpaired Information: A Differentiable Programming Perspective

    Hongyuan Zhu, Xi Peng, Joey Tianyi Zhou, Songfan Yang, Vijay Chanderasekh, Liyuan Li, Joo-Hwee Lim

    9332-9339

    PDF
  • Deep Embedding Features for Salient Object Detection

    Yunzhi Zhuge, Yu Zeng, Huchuan Lu

    9340-9347

    PDF
  • Calibrated Stochastic Gradient Descent for Convolutional Neural Networks

    Li’an Zhuo, Baochang Zhang, Chen Chen, Qixiang Ye, Jianzhuang Liu, David Doermann

    9348-9355

    PDF
  • Instance-Level Facial Attributes Transfer with Geometry-Aware Flow

    Weidong Yin, Ziwei Liu, Chen Change Loy

    9111-9118

    PDF
  • PVRNet: Point-View Relation Neural Network for 3D Shape Recognition

    Haoxuan You, Yifan Feng, Xibin Zhao, Changqing Zou, Rongrong Ji, Yue Gao

    9119-9126

    PDF
  • ActivityNet-QA: A Dataset for Understanding Complex Web Videos via Question Answering

    Zhou Yu, Dejing Xu, Jun Yu, Ting Yu, Zhou Zhao, Yueting Zhuang, Dacheng Tao

    9127-9134

    PDF
  • Spatial Mixture Models with Learnable Deep Priors for Perceptual Grouping

    Jinyang Yuan, Bin Li, Xiangyang Xue

    9135-9142

    PDF
  • Cycle-SUM: Cycle-Consistent Adversarial LSTM Networks for Unsupervised Video Summarization

    Li Yuan, Francis EH Tay, Ping Li, Li Zhou, Jiashi Feng

    9143-9150

    PDF
  • Tensor Ring Decomposition with Rank Minimization on Latent Space: An Efficient Approach for Tensor Completion

    Longhao Yuan, Chao Li, Danilo Mandic, Jianting Cao, Qibin Zhao

    9151-9158

    PDF
  • To Find Where You Talk: Temporal Sentence Localization in Video with Attention Based Location Regression

    Yitian Yuan, Tao Mei, Wenwu Zhu

    9159-9166

    PDF
  • Memory-Augmented Temporal Dynamic Learning for Action Recognition

    Yuan Yuan, Dong Wang, Qi Wang

    9167-9175

    PDF
  • ACM: Adaptive Cross-Modal Graph Convolutional Neural Networks for RGB-D Scene Recognition

    Yuan Yuan, Zhitong Xiong, Qi Wang

    9176-9184

    PDF
  • Large-Scale Visual Relationship Understanding

    Ji Zhang, Yannis Kalantidis, Marcus Rohrbach, Manohar Paluri, Ahmed Elgammal, Mohamed Elhoseiny

    9185-9194

    PDF
  • Multi-Attribute Transfer via Disentangled Representation

    Jianfu Zhang, Yuanyuan Huang, Yaoyi Li, Weijie Zhao, Liqing Zhang

    9195-9202

    PDF
  • Cousin Network Guided Sketch Recognition via Latent Attribute Warehouse

    Kaihao Zhang, Wenhan Luo, Lin Ma, Hongdong Li

    9203-9210

    PDF
  • Understanding Pictograph with Facial Features: End-to-End Sentence-Level Lip Reading of Chinese

    Xiaobing Zhang, Haigang Gong, Xili Dai, Fan Yang, Nianbo Liu, Ming Liu

    9211-9218

    PDF
  • Learning to Localize Objects with Noisy Labeled Instances

    Xiaopeng Zhang, Yang Yang, Jiashi Feng

    9219-9226

    PDF
  • Learning Transferable Self-Attentive Representations for Action Recognition in Untrimmed Videos with Weak Supervision

    Xiao-Yu Zhang, Haichao Shi, Changsheng Li, Kai Zheng, Xiaobin Zhu, Lixin Duan

    9227-9234

    PDF
  • Learning a Key-Value Memory Co-Attention Matching Network for Person Re-Identification

    Yaqing Zhang, Xi Li, Zhongfei Zhang

    9235-9242

    PDF
  • Learning Incremental Triplet Margin for Person Re-Identification

    Yingying Zhang, Qiaoyong Zhong, Liang Ma, Di Xie, Shiliang Pu

    9243-9250

    PDF
  • Look across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition

    Jian Zhao, Yu Cheng, Yi Cheng, Yang Yang, Fang Zhao, Jianshu Li, Hengzhu Liu, Shuicheng Yan, Jiashi Feng

    9251-9258

    PDF
  • M2Det: A Single-Shot Object Detector Based on Multi-Level Feature Pyramid Network

    Qijie Zhao, Tao Sheng, Yongtao Wang, Zhi Tang, Ying Chen, Ling Cai, Haibin Ling

    9259-9266

    PDF
  • 3D Object Detection Using Scale Invariant and Feature Reweighting Networks

    Xin Zhao, Zhe Liu, Ruolan Hu, Kaiqi Huang

    9267-9274

    PDF
  • MVPNet: Multi-View Point Regression Networks for 3D Object Reconstruction from A Single Image

    Jinglu Wang, Bo Sun, Yan Lu

    8949-8956

    PDF
  • Hierarchical Attention Network for Image Captioning

    Weixuan Wang, Zhihong Chen, Haifeng Hu

    8957-8964

    PDF
  • Learning to Compose Topic-Aware Mixture of Experts for Zero-Shot Video Captioning

    Xin Wang, Jiawei Wu, Da Zhang, Yu Su, William Yang Wang

    8965-8972

    PDF
  • Sparse Adversarial Perturbations for Videos

    Xingxing Wei, Jun Zhu, Sha Yuan, Hang Su

    8973-8980

    PDF
  • Learning Non-Uniform Hypergraph for Multi-Object Tracking

    Longyin Wen, Dawei Du, Shengkun Li, Xiao Bian, Siwei Lyu

    8981-8988

    PDF
  • Graph CNNs with Motif and Variable Temporal Block for Skeleton-Based Action Recognition

    Yu-Hui Wen, Lin Gao, Hongbo Fu, Fang-Lue Zhang, Shihong Xia

    8989-8996

    PDF
  • Differential Networks for Visual Question Answering

    Chenfei Wu, Jinlai Liu, Xiaojie Wang, Ruifan Li

    8997-9004

    PDF
  • Disentangled Variational Representation for Heterogeneous Face Recognition

    Xiang Wu, Huaibo Huang, Vishal M. Patel, Ran He, Zhenan Sun

    9005-9012

    PDF
  • Multiple Saliency and Channel Sensitivity Network for Aggregated Convolutional Feature

    Xuanlu Xiang, Zhipeng Wang, Zhicheng Zhao, Fei Su

    9013-9020

    PDF
  • What and Where the Themes Dominate in Image

    Xinyu Xiao, Lingfeng Wang, Shiming Xiang, Chunhong Pan

    9021-9029

    PDF
  • Semantic Adversarial Network with Multi-Scale Pyramid Attention for Video Classification

    De Xie, Cheng Deng, Hao Wang, Chao Li, Dapeng Tao

    9030-9037

    PDF
  • Scene Text Detection with Supervised Pyramid Context Network

    Enze Xie, Yuhang Zang, Shuai Shao, Gang Yu, Cong Yao, Guangyao Li

    9038-9045

    PDF
  • DeRPN: Taking a Further Step toward More General Object Detection

    Lele Xie, Yuliang Liu, Lianwen Jin, Zecheng Xie

    9046-9053

    PDF
  • Residual Attribute Attention Network for Face Image Super-Resolution

    Jingwei Xin, Nannan Wang, Xinbo Gao, Jie Li

    9054-9061

    PDF
  • Multilevel Language and Vision Integration for Text-to-Clip Retrieval

    Huijuan Xu, Kun He, Bryan A. Plummer, Leonid Sigal, Stan Sclaroff, Kate Saenko

    9062-9069

    PDF
  • Segregated Temporal Assembly Recurrent Networks for Weakly Supervised Multiple Action Detection

    Yunlu Xu, Chengwei Zhang, Zhanzhan Cheng, Jianwen Xie, Yi Niu, Shiliang Pu, Fei Wu

    9070-9078

    PDF
  • A Dual Attention Network with Semantic Embedding for Few-Shot Learning

    Shipeng Yan, Songyang Zhang, Xuming He

    9079-9086

    PDF
  • Efficient Image Retrieval via Decoupling Diffusion into Online and Offline Processing

    Fan Yang, Ryota Hinami, Yusuke Matsui, Steven Ly, Shin’ichi Satoh

    9087-9094

    PDF
  • Learning a Visual Tracker from a Single Movie without Annotation

    Lingxiao Yang, David Zhang, Lei Zhang

    9095-9102

    PDF
  • Safeguarded Dynamic Label Regression for Noisy Supervision

    Jiangchao Yao, Hao Wu, Ya Zhang, Ivor W. Tsang, Jun Sun

    9103-9110

    PDF
  • Spatial and Temporal Mutual Promotion for Video-Based Person Re-Identification

    Yiheng Liu, Zhenxun Yuan, Wengang Zhou, Houqiang Li

    8786-8793

    PDF
  • Deep Video Frame Interpolation Using Cyclic Frame Generation

    Yu-Lun Liu, Yi-Tung Liao, Yen-Yu Lin, Yung-Yu Chuang

    8794-8802

    PDF
  • Detect or Track: Towards Cost-Effective Video Object Detection/Tracking

    Hao Luo, Wenxuan Xie, Xinggang Wang, Wenjun Zeng

    8803-8810

    PDF
  • Recognizing Unseen Attribute-Object Pair with Generative Model

    Zhixiong Nan, Yang Liu, Nanning Zheng, Song-Chun Zhu

    8811-8818

    PDF
  • CAPNet: Continuous Approximation Projection for 3D Point Cloud Reconstruction Using 2D Supervision

    K. L. Navaneet, Priyanka Mandikal, Mayank Agarwal, R. Venkatesh Babu

    8819-8826

    PDF
  • Dual Semi-Supervised Learning for Facial Action Unit Recognition

    Guozhu Peng, Shangfei Wang

    8827-8834

    PDF
  • Learning Attribute-Specific Representations for Visual Tracking

    Yuankai Qi, Shengping Zhang, Weigang Zhang, Li Su, Qingming Huang, Ming-Hsuan Yang

    8835-8842

    PDF
  • Weakly Supervised Scene Parsing with Point-Based Distance Metric Learning

    Rui Qian, Yunchao Wei, Honghui Shi, Jiachen Li, Jiaying Liu, Thomas Huang

    8843-8850

    PDF
  • MonoGRNet: A Geometric Reasoning Network for Monocular 3D Object Localization

    Zengyi Qin, Jinglu Wang, Yan Lu

    8851-8858

    PDF
  • Backbone Cannot Be Trained at Once: Rolling Back to Pre-Trained Network for Person Re-Identification

    Youngmin Ro, Jongwon Choi, Dae Ung Jo, Byeongho Heo, Jongin Lim, Jin Young Choi

    8859-8867

    PDF
  • Almost Unsupervised Learning for Dense Crowd Counting

    Deepak Babu Sam, Neeraj N Sajjan, Himanshu Maurya, R. Venkatesh Babu

    8868-8875

    PDF
  • KVQA: Knowledge-Aware Visual Question Answering

    Sanket Shah, Anand Mishra, Naganand Yadati, Partha Pratim Talukdar

    8876-8884

    PDF
  • Connecting Language to Images: A Progressive Attention-Guided Network for Simultaneous Image Captioning and Language Grounding

    Lingyun Song, Jun Liu, Buyue Qian, Yihe Chen

    8885-8892

    PDF
  • Towards Highly Accurate and Stable Face Alignment for High-Resolution Videos

    Ying Tai, Yicong Liang, Xiaoming Liu, Lei Duan, Jilin Li, Chengjie Wang, Feiyue Huang, Yu Chen

    8893-8900

    PDF
  • A Layer-Based Sequential Framework for Scene Generation with GANs

    Mehmet Ozgur Turkoglu, William Thong, Luuk Spreeuwers, Berkay Kicanaoglu

    8901-8908

    PDF
  • Hierarchical Photo-Scene Encoder for Album Storytelling

    Bairui Wang, Lin Ma, Wei Zhang, Wenhao Jiang, Feng Zhang

    8909-8916

    PDF
  • Robust Deep Co-Saliency Detection with Group Semantic

    Chong Wang, Zheng-Jun Zha, Dong Liu, Hongtao Xie

    8917-8924

    PDF
  • Learning Basis Representation to Refine 3D Human Pose Estimations

    Chunyu Wang, Haibo Qiu, Alan L. Yuille, Wenjun Zeng

    8925-8932

    PDF
  • Spatial-Temporal Person Re-Identification

    Guangcong Wang, Jianhuang Lai, Peigen Huang, Xiaohua Xie

    8933-8940

    PDF
  • Deep Single-View 3D Object Reconstruction with Visual Hull Embedding

    Hanqing Wang, Jiaolong Yang, Wei Liang, Xin Tong

    8941-8948

    PDF
  • Meta Learning for Image Captioning

    Nannan Li, Zhenzhong Chen, Shan Liu

    8626-8633

    PDF
  • Visual-Semantic Graph Reasoning for Pedestrian Attribute Recognition

    Qiaozhe Li, Xin Zhao, Ran He, Kaiqi Huang

    8634-8641

    PDF
  • Distribution Consistency Based Covariance Metric Networks for Few-Shot Learning

    Wenbin Li, Jinglin Xu, Jing Huo, Lei Wang, Yang Gao, Jiebo Luo

    8642-8649

    PDF
  • Learning Object Context for Dense Captioning

    Xiangyang Li, Shuqiang Jiang, Jungong Han

    8650-8657

    PDF
  • Beyond RNNs: Positional Self-Attention with Co-Attention for Video Question Answering

    Xiangpeng Li, Jingkuan Song, Lianli Gao, Xianglong Liu, Wenbing Huang, Xiangnan He, Chuang Gan

    8658-8665

    PDF
  • Robust Estimation of Similarity Transformation for Visual Object Tracking

    Yang Li, Jianke Zhu, Steven C.H. Hoi, Wenjie Song, Zhefeng Wang, Hantang Liu

    8666-8673

    PDF
  • Temporal Bilinear Networks for Video Action Recognition

    Yanghao Li, Sijie Song, Yuqi Li, Jiaying Liu

    8674-8681

    PDF
  • Angular Triplet-Center Loss for Multi-View 3D Shape Retrieval

    Zhaoqun Li, Cheng Xu, Biao Leng

    8682-8689

    PDF
  • Zero-Shot Object Detection with Textual Descriptions

    Zhihui Li, Lina Yao, Xiaoqin Zhang, Xianzhi Wang, Salil Kanhere, Huaxiang Zhang

    8690-8697

    PDF
  • PCGAN: Partition-Controlled Human Image Generation

    Dong Liang, Rui Wang, Xiaowei Tian, Cong Zou

    8698-8705

    PDF
  • Unsupervised Cross-Spectral Stereo Matching by Learning to Synthesize

    Mingyang Liang, Xiaoyang Guo, Hongsheng Li, Xiaogang Wang, You Song

    8706-8713

    PDF
  • Scene Text Recognition from Two-Dimensional Perspective

    Minghui Liao, Jian Zhang, Zhaoyi Wan, Fengming Xie, Jiajun Liang, Pengyuan Lyu, Cong Yao, Xiang Bai

    8714-8721

    PDF
  • Towards Optimal Discrete Online Hashing with Balanced Similarity

    Mingbao Lin, Rongrong Ji, Hong Liu, Xiaoshuai Sun, Yongjian Wu, Yunsheng Wu

    8722-8729

    PDF
  • Hypergraph Optimization for Multi-Structural Geometric Model Fitting

    Shuyuan Lin, Guobao Xiao, Yan Yan, David Suter, Hanzi Wang

    8730-8737

    PDF
  • A Bottom-Up Clustering Approach to Unsupervised Person Re-Identification

    Yutian Lin, Xuanyi Dong, Liang Zheng, Yan Yan, Yi Yang

    8738-8745

    PDF
  • Learning Neural Bag-of-Matrix-Summarization with Riemannian Network

    Hong Liu, Jie Li, Yongjian Wu, Rongrong Ji

    8746-8753

    PDF
  • Optimal Projection Guided Transfer Hashing for Image Retrieval

    Ji Liu, Lei Zhang

    8754-8761

    PDF
  • Joint Dynamic Pose Image and Space Time Reversal for Human Action Recognition from Videos

    Mengyuan Liu, Fanyang Meng, Chen Chen, Songtao Wu

    8762-8769

    PDF
  • DDFlow: Learning Optical Flow with Unlabeled Data Distillation

    Pengpeng Liu, Irwin King, Michael R. Lyu, Jia Xu

    8770-8777

    PDF
  • Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-Based Sequence to Sequence Network

    Xinhai Liu, Zhizhong Han, Yu-Shen Liu, Matthias Zwicker

    8778-8785

    PDF
  • Hierarchically Structured Reinforcement Learning for Topically Coherent Visual Story Generation

    Qiuyuan Huang, Zhe Gan, Asli Celikyilmaz, Dapeng Wu, Jianfeng Wang, Xiaodong He

    8465-8472

    PDF
  • A Framework to Coordinate Segmentation and Recognition

    Wei Huang, Huimin Yu, Weiwei Zheng, Jing Zhang

    8473-8480

    PDF
  • 3D Volumetric Modeling with Introspective Neural Networks

    Wenlong Huang, Brian Lai, Weijian Xu, Zhuowen Tu

    8481-8488

    PDF
  • Few-Shot Image and Sentence Matching via Gated Visual-Semantic Embedding

    Yan Huang, Yang Long, Liang Wang

    8489-8496

    PDF
  • Attentive Temporal Pyramid Network for Dynamic Scene Classification

    Yuanjun Huang, Xianbin Cao, Xiantong Zhen, Jungong Han

    8497-8504

    PDF
  • DeepCCFV: Camera Constraint-Free Multi-View Convolutional Neural Network for 3D Object Retrieval

    Zhengyue Huang, Zhehui Zhao, Hengguang Zhou, Xibin Zhao, Yue Gao

    8505-8512

    PDF
  • MLVCNN: Multi-Loop-View Convolutional Neural Network for 3D Shape Retrieval

    Jianwen Jiang, Di Bao, Ziqiang Chen, Xibin Zhao, Yue Gao

    8513-8520

    PDF
  • Image Saliency Prediction in Transformed Domain: A Deep Complex Neural Network Method

    Lai Jiang, Zhe Wang, Mai Xu, Zulin Wang

    8521-8528

    PDF
  • Video Object Detection with Locally-Weighted Deformable Neighbors

    Zhengkai Jiang, Peng Gao, Chaoxu Guo, Qian Zhang, Shiming Xiang, Chunhong Pan

    8529-8536

    PDF
  • Discriminative Feature Learning for Unsupervised Video Summarization

    Yunjae Jung, Donghyeon Cho, Dahun Kim, Sanghyun Woo, In So Kweon

    8537-8544

    PDF
  • Self-Supervised Video Representation Learning with Space-Time Cubic Puzzles

    Dahun Kim, Donghyeon Cho, In So Kweon

    8545-8552

    PDF
  • BiHMP-GAN: Bidirectional 3D Human Motion Prediction GAN

    Jogendra Nath Kundu, Maharshi Gor, R. Venkatesh Babu

    8553-8560

    PDF
  • Spatio-Temporal Graph Routing for Skeleton-Based Action Recognition

    Bin Li, Xi Li, Zhongfei Zhang, Fei Wu

    8561-8568

    PDF
  • SuperVAE: Superpixelwise Variational Autoencoder for Salient Object Detection

    Bo Li, Zhengxing Sun, Yuqi Guo

    8569-8576

    PDF
  • Gradient Harmonized Single-Stage Detector

    Buyu Li, Yu Liu, Xiaogang Wang

    8577-8584

    PDF
  • Skeleton-Based Gesture Recognition Using Several Fully Connected Layers with Path Signature Features and Temporal Transformer Module

    Chenyang Li, Xin Zhang, Lufan Liao, Lianwen Jin, Weixin Yang

    8585-8593

    PDF
  • Semantic Relationships Guided Representation Learning for Facial Action Unit Recognition

    Guanbin Li, Xin Zhu, Yirui Zeng, Qing Wang, Liang Lin

    8594-8601

    PDF
  • Heterogeneous Transfer Learning via Deep Matrix Completion with Adversarial Kernel Embedding

    Haoliang Li, Sinno Jialin Pan, Renjie Wan, Alex C. Kot

    8602-8609

    PDF
  • Show, Attend and Read: A Simple and Strong Baseline for Irregular Text Recognition

    Hui Li, Peng Wang, Chunhua Shen, Guyu Zhang

    8610-8617

    PDF
  • Multi-Scale 3D Convolution Network for Video Based Person Re-Identification

    Jianing Li, Shiliang Zhang, Tiejun Huang

    8618-8625

    PDF
  • I Know the Relationships: Zero-Shot Action Recognition via Two-Stream Graph Convolutional Networks and Knowledge Graphs

    Junyu Gao, Tianzhu Zhang, Changsheng Xu

    8303-8311

    PDF
  • Perceptual Pyramid Adversarial Networks for Text-to-Image Synthesis

    Lianli Gao, Daiyuan Chen, Jingkuan Song, Xing Xu, Dongxiang Zhang, Heng Tao Shen

    8312-8319

    PDF
  • Deliberate Attention Networks for Image Captioning

    Lianli Gao, Kaixuan Fan, Jingkuan Song, Xianglong Liu, Xing Xu, Heng Tao Shen

    8320-8327

    PDF
  • Video Imprint Segmentation for Temporal Action Detection in Untrimmed Videos

    Zhanning Gao, Le Wang, Qilin Zhang, Zhenxing Niu, Nanning Zheng, Gang Hua

    8328-8335

    PDF
  • No-Reference Image Quality Assessment with Reinforcement Recursive List-Wise Ranking

    Jie Gu, Gaofeng Meng, Cheng Da, Shiming Xiang, Chunhong Pan

    8336-8343

    PDF
  • Projection Convolutional Neural Networks for 1-bit CNNs via Discrete Back Propagation

    Jiaxin Gu, Ce Li, Baochang Zhang, Jungong Han, Xianbin Cao, Jianzhuang Liu, David Doermann

    8344-8351

    PDF
  • Human Action Transfer Based on 3D Model Reconstruction

    Shanyan Guan, Shuo Wen, Dexin Yang, Bingbing Ni, Wendong Zhang, Jun Tang, Xiaokang Yang

    8352-8359

    PDF
  • Dual-View Ranking with Hardness Assessment for Zero-Shot Learning

    Yuchen Guo, Guiguang Ding, Jungong Han, Xiaohan Ding, Sicheng Zhao, Zheng Wang, Chenggang Yan, Qionghai Dai

    8360-8367

    PDF
  • Depthwise Convolution Is All You Need for Learning Multiple Visual Domains

    Yunhui Guo, Yandong Li, Liqiang Wang, Tajana Rosing

    8368-8375

    PDF
  • View Inter-Prediction GAN: Unsupervised Representation Learning for 3D Shapes by Learning Global Shape Memories to Support Local View Predictions

    Zhizhong Han, Mingyang Shang, Yu-Shen Liu, Matthias Zwicker

    8376-8384

    PDF
  • HSME: Hypersphere Manifold Embedding for Visible Thermal Person Re-Identification

    Yi Hao, Nannan Wang, Jie Li, Xinbo Gao

    8385-8392

    PDF
  • Read, Watch, and Move: Reinforcement Learning for Temporally Grounding Natural Language Descriptions in Videos

    Dongliang He, Xiang Zhao, Jizhou Huang, Fu Li, Xiao Liu, Shilei Wen

    8393-8400

    PDF
  • StNet: Local and Global Spatial-Temporal Modeling for Action Recognition

    Dongliang He, Zhichao Zhou, Chuang Gan, Fu Li, Xiao Liu, Yandong Li, Limin Wang, Shilei Wen

    8401-8408

    PDF
  • Mono3D++: Monocular 3D Vehicle Detection with Two-Scale 3D Hypotheses and Task Priors

    Tong He, Stefano Soatto

    8409-8416

    PDF
  • Non-Local Context Encoder: Robust Biomedical Image Segmentation against Adversarial Attacks

    Xiang He, Sibei Yang, Guanbin Li, Haofeng Li, Huiyou Chang, Yizhou Yu

    8417-8424

    PDF
  • Weighted Channel Dropout for Regularization of Deep Convolutional Neural Network

    Saihui Hou, Zilei Wang

    8425-8432

    PDF
  • Learning to Steer by Mimicking Features from Heterogeneous Auxiliary Networks

    Yuenan Hou, Zheng Ma, Chunxiao Liu, Chen Change Loy

    8433-8440

    PDF
  • Attention-Based Multi-Context Guiding for Few-Shot Semantic Segmentation

    Tao Hu, Pengwan Yang, Chiliang Zhang, Gang Yu, Yadong Mu, Cees G. M. Snoek

    8441-8448

    PDF
  • A Novel Framework for Robustness Analysis of Visual QA Models

    Jia-Hong Huang, Cuong Duc Dao, Modar Alfadly, Bernard Ghanem

    8449-8456

    PDF
  • Re2EMA: Regularized and Reinitialized Exponential Moving Average for Target Model Update in Object Tracking

    Jianglei Huang, Wengang Zhou

    8457-8464

    PDF
  • Improving Image Captioning with Conditional Generative Adversarial Nets

    Chen Chen, Shuai Mu, Wanpeng Xiao, Zexiong Ye, Liesi Wu, Qi Ju

    8142-8150

    PDF
  • Unsupervised Stylish Image Description Generation via Domain Layer Norm

    Cheng-Kuan Chen, Zhufeng Pan, Ming-Yu Liu, Min Sun

    8151-8158

    PDF
  • Unsupervised Meta-Learning of Figure-Ground Segmentation via Imitating Visual Effects

    Ding-Jie Chen, Jui-Ting Chien, Hwann-Tzong Chen, Tyng-Luh Liu

    8159-8166

    PDF
  • Temporal Deformable Convolutional Encoder-Decoder Networks for Video Captioning

    Jingwen Chen, Yingwei Pan, Yehao Li, Ting Yao, Hongyang Chao, Tao Mei

    8167-8174

    PDF
  • Localizing Natural Language in Videos

    Jingyuan Chen, Lin Ma, Xinpeng Chen, Zequn Jie, Jiebo Luo

    8175-8182

    PDF
  • Similarity Preserving Deep Asymmetric Quantization for Image Retrieval

    Junjie Chen, William K. Cheung

    8183-8190

    PDF
  • Motion Guided Spatial Attention for Video Captioning

    Shaoxiang Chen, Yu-Gang Jiang

    8191-8198

    PDF
  • Semantic Proposal for Activity Localization in Videos via Sentence Query

    Shaoxiang Chen, Yu-Gang Jiang

    8199-8206

    PDF
  • Unsupervised Bilingual Lexicon Induction from Mono-Lingual Multimodal Data

    Shizhe Chen, Qin Jin, Alexander Hauptmann

    8207-8214

    PDF
  • Learning Resolution-Invariant Deep Representations for Person Re-Identification

    Yun-Chun Chen, Yu-Jhe Li, Xiaofei Du, Yu-Chiang Frank Wang

    8215-8222

    PDF
  • Data Fine-Tuning

    Saheb Chhabra, Puspita Majumdar, Mayank Vatsa, Richa Singh

    8223-8230

    PDF
  • Selective Refinement Network for High Performance Face Detection

    Cheng Chi, Shifeng Zhang, Junliang Xing, Zhen Lei, Stan Z. Li, Xudong Zou

    8231-8238

    PDF
  • Residual Compensation Networks for Heterogeneous Face Recognition

    Zhongying Deng, Xiaojiang Peng, Yu Qiao

    8239-8246

    PDF
  • Attention-Aware Sampling via Deep Reinforcement Learning for Action Recognition

    Wenkai Dong, Zhaoxiang Zhang, Tieniu Tan

    8247-8254

    PDF
  • Learning a Deep Convolutional Network for Colorization in Monochrome-Color Dual-Lens System

    Xuan Dong, Weixin Li, Xiaojie Wang, Yunhong Wang

    8255-8262

    PDF
  • Cubic LSTMs for Video Prediction

    Hehe Fan, Linchao Zhu, Yi Yang

    8263-8270

    PDF
  • Fully Convolutional Video Captioning with Coarse-to-Fine and Inherited Attention

    Kuncheng Fang, Lian Zhou, Cheng Jin, Yuejie Zhang, Kangnian Weng, Tao Zhang, Weiguo Fan

    8271-8278

    PDF
  • MeshNet: Mesh Neural Network for 3D Shape Representation

    Yutong Feng, Yifan Feng, Haoxuan You, Xibin Zhao, Yue Gao

    8279-8286

    PDF
  • STA: Spatial-Temporal Attention for Large-Scale Video-Based Person Re-Identification

    Yang Fu, Xiaoyang Wang, Yunchao Wei, Thomas Huang

    8287-8294

    PDF
  • Horizontal Pyramid Matching for Person Re-Identification

    Yang Fu, Yunchao Wei, Yuqian Zhou, Honghui Shi, Gao Huang, Xinchao Wang, Zhiqiang Yao, Thomas Huang

    8295-8302

    PDF
  • GaitSet: Regarding Gait as a Set for Cross-View Gait Recognition

    Hanqing Chao, Yiwei He, Junping Zhang, Jianfeng Feng

    8126-8133

    PDF
  • Energy Confused Adversarial Metric Learning for Zero-Shot Image Retrieval and Clustering

    Binghui Chen, Weihong Deng

    8134-8141

    PDF
  • TallyQA: Answering Complex Counting Questions

    Manoj Acharya, Kushal Kafle, Christopher Kanan

    8076-8084

    PDF
  • Densely Supervised Grasp Detector (DSGD)

    Umar Asif, Jianbin Tang, Stefan Harrer

    8085-8093

    PDF
  • Object Detection Based on Region Decomposition and Assembly

    Seung-Hwan Bae

    8094-8101

    PDF
  • BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship Detection

    Hedi Ben-younes, Remi Cadene, Nicolas Thome, Matthieu Cord

    8102-8109

    PDF
  • MR-NET: Exploiting Mutual Relation for Visual Relationship Detection

    Yi Bin, Yang Yang, Chaofan Tao, Zi Huang, Jingjing Li, Heng Tao Shen

    8110-8117

    PDF
  • Action Knowledge Transfer for Action Prediction with Partial Videos

    Yijun Cai, Haoxin Li, Jian-Fang Hu, Wei-Shi Zheng

    8118-8125

    PDF

IAAI Technical Track: Deployed Papers

  • A Genetic Algorithm for Finding a Small and Diverse Set of Recent News Stories on a Given Subject: How We Generate AAAI’s AI-Alert

    Joshua Eckroth, Eric Schoen

    9357-9364

    PDF
  • Large Scale Personalized Categorization of Financial Transactions

    Christopher Lesner, Alexander Ran, Marko Rukonic, Wei Wang

    9365-9372

    PDF
  • Transforming Underwriting in the Life Insurance Industry

    Marc Maier, Hayley Carlotto, Freddie Sanchez, Sherriff Balogun, Sears Merritt

    9373-9380

    PDF
  • Automated Dispatch of Helpdesk Email Tickets: Pushing the Limits with AI

    Atri Mandal, Nikhil Malhotra, Shivali Agarwal, Anupama Ray, Giriprasad Sridhara

    9381-9388

    PDF
  • Grading Uncompilable Programs

    Rohit Takhar, Varun Aggarwal

    9389-9396

    PDF

IAAI Technical Track: Emerging Papers

  • Identifying Semantics in Clinical Reports Using Neural Machine Translation

    Srikanth Mujjiga, Vamsi Krishna, Kalyan Chakravarthi, Vijayananda J

    9552-9557

    PDF
  • Artificial Counselor System for Stock Investment

    Hadi NekoeiQachkanloo, Benyamin Ghojogh, Ali Saheb Pasand, Mark Crowley

    9558-9564

    PDF
  • Separating Wheat from Chaff: Joining Biomedical Knowledge and Patient Data for Repurposing Medications

    Galia Nordon, Gideon Koren, Varda Shalev, Eric Horvitz, Kira Radinsky

    9565-9572

    PDF
  • Discovering Temporal Patterns from Insurance Interaction Data

    Maleeha Qazi, Srinivas Tunuguntla, Peng Lee, Teja Kanchinadam, Glenn Fung, Neeraj Arora

    9573-9580

    PDF
  • Enhancing Evolutionary Conversion Rate Optimization via Multi-Armed Bandit Algorithms

    Xin Qiu, Risto Miikkulainen

    9581-9588

    PDF
  • Inferring Concept Prerequisite Relations from Online Educational Resources

    Sudeshna Roy, Meghana Madhyastha, Sheril Lawrence, Vaibhav Rajan

    9589-9594

    PDF
  • Forecasting Intra-Hour Imbalances in Electric Power Systems

    Tárik S. Salem, Karan Kathuria, Heri Ramampiaro, Helge Langseth

    9595-9600

    PDF
  • Cleaning Noisy and Heterogeneous Metadata for Record Linking across Scholarly Big Datasets

    Athar Sefid, Jian Wu, Allen C. Ge, Jing Zhao, Lu Liu, Cornelia Caragea, Prasenjit Mitra, C. Lee Giles

    9601-9606

    PDF
  • DEFSI: Deep Learning Based Epidemic Forecasting with Synthetic Information

    Lijing Wang, Jiangzhuo Chen, Madhav Marathe

    9607-9612

    PDF
  • Early Detection of Vacant Parking Spaces Using Dashcam Videos

    Ming-Che Wu, Mei-Chen Yeh

    9613-9618

    PDF
  • eRevise: Using Natural Language Processing to Provide Formative Feedback on Text Evidence Usage in Student Writing

    H. Zhang, A. Magooda, D. Litman, R. Correnti, E. Wang, L.C. Matsmura, E. Howe, R. Quintana

    9619-9625

    PDF
  • Anomaly Detection Using Autoencoders in High Performance Computing Systems

    Andrea Borghesi, Andrea Bartolini, Michele Lombardi, Michela Milano, Luca Benini

    9428-9433

    PDF
  • A Fast Machine Learning Workflow for Rapid Phenotype Prediction from Whole Shotgun Metagenomes

    Anna Paola Carrieri, Will PM Rowe, Martyn Winn, Edward O. Pyzer-Knapp

    9434-9439

    PDF
  • Expert Guided Rule Based Prioritization of Scientifically Relevant Images for Downlinking over Limited Bandwidth from Planetary Orbiters

    Srija Chakraborty, Subhasish Das, Ayan Banerjee, Sandeep K. S. Gupta, Philip R. Christensen

    9440-9445

    PDF
  • DeBGUer: A Tool for Bug Prediction and Diagnosis

    Amir Elmishali, Roni Stern, Meir Kalech

    9446-9451

    PDF
  • Satellite Detection of Moving Vessels in Marine Environments

    Natalie Fridman, Doron Amir, Yinon Douchan, Noa Agmon

    9452-9459

    PDF
  • Automatic Generation of Chinese Short Product Titles for Mobile Display

    Yu Gong, Xusheng Luo, Kenny Q. Zhu, Wenwu Ou, Zhao Li, Lu Duan

    9460-9465

    PDF
  • Logistic Regression on Homomorphic Encrypted Data at Scale

    Kyoohyung Han, Seungwan Hong, Jung Hee Cheon, Daejun Park

    9466-9471

    PDF
  • A Machine Learning Suite for Machine Components’ Health-Monitoring

    Ramin Hasani, Guodong Wang, Radu Grosu

    9472-9477

    PDF
  • Leveraging Textual Specifications for Grammar-Based Fuzzing of Network Protocols

    Samuel Jero, Maria Leonor Pacheco, Dan Goldwasser, Cristina Nita-Rotaru

    9478-9483

    PDF
  • Novelty Detection for Multispectral Images with Application to Planetary Exploration

    Hannah R Kerner, Danika F Wellington, Kiri L Wagstaff, James F Bell, Chiman Kwan, Heni Ben Amor

    9484-9491

    PDF
  • Robust Multi-Object Detection Based on Data Augmentation with Realistic Image Synthesis for Point-of-Sale Automation

    Saiprasad Koturwar, Soma Shiraishi, Kota Iwamoto

    9492-9497

    PDF
  • VPDS: An AI-Based Automated Vehicle Occupancy and Violation Detection System

    Abhinav Kumar, Aishwarya Gupta, Bishal Santra, KS Lalitha, Manasa Kolla, Mayank Gupta, Rishabh Singh

    9498-9503

    PDF
  • Profiles, Proxies, and Assumptions: Decentralized, Communications-Resilient Planning, Allocation, and Scheduling

    Ugur Kuter, Brian Kettler, Katherine Guo, Martin Hofmann, Valerie Champagne, Kurt Lachevet, Jennifer Lautenschlager, Robert P. Goldman, Luis Asencios, Josh Hamell

    9504-9509

    PDF
  • Feature Isolation for Hypothesis Testing in Retinal Imaging: An Ischemic Stroke Prediction Case Study

    Gilbert Lim, Zhan Wei Lim, Dejiang Xu, Daniel S.W. Ting, Tien Yin Wong, Mong Li Lee, Wynne Hsu

    9510-9515

    PDF
  • Building Trust in Deep Learning System towards Automated Disease Detection

    Zhan Wei Lim, Mong Li Lee, Wynne Hsu, Tien Yin Wong

    9516-9521

    PDF
  • Ensemble Machine Learning for Estimating Fetal Weight at Varying Gestational Age

    Yu Lu, Xi Zhang, Xianghua Fu, Fangxiong Chen, Kelvin K. L. Wong

    9522-9527

    PDF
  • Bootstrapping Conversational Agents with Weak Supervision

    Neil Mallinar, Abhishek Shah, Rajendra Ugrani, Ayush Gupta, Manikandan Gurusankar, Tin Kam Ho, Q. Vera Liao, Yunfeng Zhang, Rachel K.E. Bellamy, Robert Yates, Chris Desmarais, Blake McGregor

    9528-9533

    PDF
  • Context-Tree Recommendation vs Matrix-Factorization: Algorithm Selection and Live Users Evaluation

    Stéphane Martin, Boi Faltings, Vincent Schickel

    9534-9540

    PDF
  • Amsterdam to Dublin Eventually Delayed? LSTM and Transfer Learning for Predicting Delays of Low Cost Airlines

    Nicholas McCarthy, Mohammad Karzand, Freddy Lecue

    9541-9546

    PDF
  • Tagging Address Queries in Maps Search

    Shekoofeh Mokhtari, Ahmad Mahmoody, Dragomir Yankov, Ning Xie

    9547-9551

    PDF
  • Remote Management of Boundary Protection Devices with Information Restrictions

    Aaron Adler, Peter Samouelian, Michael Atighetchi, Yat Fu

    9398-9403

    PDF
  • Linking Educational Resources on Data Science

    José Luis Ambite, Jonathan Gordon, Lily Fierro, Gully Burns, Joel Mathew

    9404-9409

    PDF
  • Early-Stopping of Scattering Pattern Observation with Bayesian Modeling

    Akinori Asahara, Hidekazu Morita, Chiharu Mitsumata, Kanta Ono, Masao Yano, Tetsuya Shoji

    9410-9415

    PDF
  • Querying NoSQL with Deep Learning to Answer Natural Language Questions

    Sebastian Blank, Florian Wilhelm, Hans-Peter Zorn, Achim Rettinger

    9416-9421

    PDF
  • Probabilistic-Logic Bots for Efficient Evaluation of Business Rules Using Conversational Interfaces

    Joseph Bockhorst, Devin Conathan, Glenn M Fung

    9422-9427

    PDF

EAAI Symposium: Full Papers

  • Computer Generation of Birds of a Feather Puzzles

    Todd W. Neller, Daniel Ziegler

    9693-9699

    PDF
  • A Monte Carlo Tree Search Player for Birds of a Feather Solitaire

    Christian Roberson, Katarina Sperduto

    9700-9705

    PDF
  • A Neural Network Approach for Birds of a Feather Solvability Prediction

    Benjamin Sang, Sejong Yoon

    9706-9712

    PDF
  • Automatic Generation of Leveled Visual Assessments for Young Learners

    Anjali Singh, Ruhi Sharma Mittal, Shubham Atreja, Mourvi Sharma, Seema Nagar, Prasenjit Dey, Mohit Jain

    9713-9720

    PDF
  • Automating Analysis and Feedback to Improve Mathematics Teachers’ Classroom Discourse

    Abhijit Suresh, Tamara Sumner, Jennifer Jacobs, Bill Foland, Wayne Ward

    9721-9728

    PDF
  • PopBots: Designing an Artificial Intelligence Curriculum for Early Childhood Education

    Randi Williams, Hae Won Park, Lauren Oh, Cynthia Breazeal

    9729-9736

    PDF
  • A Preliminary Report of Integrating Science and Computing Teaching Using Logic Programming

    Yuanlin Zhang, Jianlan Wang, Fox Bolduc, William G. Murray, Wendy Staffen

    9737-9744

    PDF
  • Determining Solvability in the Birds of a Feather Card Game

    Shuto Araki, Juan Pablo Arenas Uribe, Zach Wilkerson, Steven Bogaerts, Chad Byers

    9627-9634

    PDF
  • From Lab to Internship and Back Again: Learning Autonomous Systems through Creating a Research and Development Ecosystem

    Trevor Bihl, Todd Jenkins, Chadwick Cox, Ashley DeMange, Kerry Hill, Edmund Zelnio

    9635-9643

    PDF
  • A Lightweight Approach to Academic Research Group Management Using Online Tools: Spend More Time on Research and Less on Management

    Eric Eaton

    9644-9647

    PDF
  • Computational Intractability and Solvability for the Birds of a Feather Game

    Richard Hoshino, Max Notarangelo

    9648-9655

    PDF
  • Machine Learning Based Heuristic Search Algorithms to Solve Birds of a Feather Card Game

    Bryon Kucharski, Azad Deihim, Mehmet Ergezer

    9656-9661

    PDF
  • Get IT Scored Using AutoSAS — An Automated System for Scoring Short Answers

    Yaman Kumar, Swati Aggarwal, Debanjan Mahata, Rajiv Ratn Shah, Ponnurangam Kumaraguru, Roger Zimmermann

    9662-9669

    PDF
  • An Integrative Framework for Artificial Intelligence Education

    Pat Langley

    9670-9677

    PDF
  • Concept Extraction and Prerequisite Relation Learning from Educational Data

    Weiming Lu, Yangfan Zhou, Jiale Yu, Chenhao Jia

    9678-9685

    PDF
  • Efficient Solving of Birds of a Feather Puzzles

    Todd W. Neller, Connor Berson, Jivan Kharel, Ryan Smolik

    9686-9692

    PDF

EAAI Symposium: Poster Papers

  • Artificial Intelligence Competencies for Data Science Undergraduate Curricula

    Andrea Danyluk, Scott Buck

    9746-9747

    PDF
  • Predicting Unsolvable Deals in the Birds of a Feather Solitaire Game

    Richard Hoshino, Maximilian Kahn

    9748-9749

    PDF

EAAI Symposium: Model AI Assignments

  • Model AI Assignments 2019

    Todd W. Neller, Raja Sooriamurthi, Michael Guerzhoy, Lisa Zhang, Paul Talaga, Christopher Archibald, Adam Summerville, Joseph Osborn, Cinjon Resnick, Avital Oliver, Surya Bhupatiraju, Kumar Krishna Agrawal, Nate Derbinsky, Elena Strange, Marion Neumann, Jonathan Chen, Zac Christensen, Michael Wollowski, Oscar Youngquist

    9751-9753

    PDF

Senior Member Presentation Track: Blue Sky Papers

  • Designing Preferences, Beliefs, and Identities for Artificial Intelligence

    Vincent Conitzer

    9755-9759

    PDF
  • Towards Fluid Machine Intelligence: Can We Make a Gifted AI?

    Ian Davidson, Peter B. Walker

    9760-9764

    PDF
  • Relating the Structure of a Problem and Its Explanation

    Eugene C. Freuder

    9765-9769

    PDF
  • Labor Division with Movable Walls: Composing Executable Specifications with Machine Learning and Search (Blue Sky Idea)

    David Harel, Assaf Marron, Ariel Rosenfeld, Moshe Vardi, Gera Weiss

    9770-9774

    PDF
  • Explainable, Normative, and Justified Agency

    Pat Langley

    9775-9779

    PDF
  • Meaningful Explanations of Black Box AI Decision Systems

    Dino Pedreschi, Fosca Giannotti, Riccardo Guidotti, Anna Monreale, Salvatore Ruggieri, Franco Turini

    9780-9784

    PDF
  • Building Ethically Bounded AI

    Francesca Rossi, Nicholas Mattei

    9785-9789

    PDF
  • Recommender Systems: A Healthy Obsession

    Barry Smyth

    9790-9794

    PDF
  • Envisioning AI for K-12: What Should Every Child Know about AI?

    David Touretzky, Christina Gardner-McCune, Fred Martin, Deborah Seehorn

    9795-9799

    PDF

Senior Member Presentation Track: Summary Talks

  • Performance Evaluation in Machine Learning: The Good, the Bad, the Ugly, and the Way Forward

    Peter Flach

    9808-9814

    PDF
  • Abstractive Summarization: A Survey of the State of the Art

    Hui Lin, Vincent Ng

    9815-9822

    PDF
  • Is Everything Going According to Plan? Expectations in Goal Reasoning Agents

    Héctor Muñoz-Avila, Dustin Dannenhauer, Noah Reifsnyder

    9823-9829

    PDF
  • Borda Count in Collective Decision Making: A Summary of Recent Results

    Jörg Rothe

    9830-9836

    PDF
  • Machine Learning with Crowdsourcing: A Brief Summary of the Past Research and Future Directions

    Victor S. Sheng, Jing Zhang

    9837-9843

    PDF
  • Learning and the Unknown: Surveying Steps toward Open World Recognition

    T. E. Boult, S. Cruz, A.R. Dhamija, M. Gunther, J. Henrydoss, W.J. Scheirer

    9801-9807

    PDF

Demonstration Track

  • 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

    9845-9846

    PDF
  • Proppy: A System to Unmask Propaganda in Online News

    Alberto Barrón-Cedeño, Giovanni Da San Martino, Israa Jaradat, Preslav Nakov

    9847-9848

    PDF
  • MAi: An Intelligent Model Acquisition Interface for Interactive Specification of Dialogue Agents

    Tathagata Chakraborti, Christian Muise, Shubham Agarwal, Luis A. Lastras

    9849-9850

    PDF
  • NeuroX: A Toolkit for Analyzing Individual Neurons in Neural Networks

    Fahim Dalvi, Avery Nortonsmith, Anthony Bau, Yonatan Belinkov, Hassan Sajjad, Nadir Durrani, James Glass

    9851-9852

    PDF
  • FRIDAYS: A Financial Risk Information Detecting and Analyzing System

    Chi-Han Du, Yi-Shyuan Chiang, Kun-Che Tsai, Liang-Chih Liu, Ming-Feng Tsai, Chuan-Ju Wang

    9853-9854

    PDF
  • Academic Reader: An Interactive Question Answering System on Academic Literatures

    Yining Hong, Jialu Wang, Yuting Jia, Weinan Zhang, Xinbing Wang

    9855-9856

    PDF
  • A General Planning-Based Framework for Goal-Driven Conversation Assistant

    Zhuoxuan Jiang, Jie Ma, Jingyi Lu, Guangyuan Yu, Yipeng Yu, Shaochun Li

    9857-9858

    PDF
  • Scientific Article Search System Based on Discourse Facet Representation

    Yuta Kobayashi, Hiroyuki Shindo, Yuji Matsumoto

    9859-9860

    PDF
  • QADiver: Interactive Framework for Diagnosing QA Models

    Gyeongbok Lee, Sungdong Kim, Seung-won Hwang

    9861-9862

    PDF
  • 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

    9863-9864

    PDF
  • Realtime Generation of Audible Textures Inspired by a Video Stream

    Simone Mellace, Jérôme Guzzi, Alessandro Giusti, Luca M. Gambardella

    9865-9866

    PDF
  • Demo: Learning to Perceive Long-Range Obstacles Using Self-Supervision from Short-Range Sensors

    Mirko Nava, Jérôme Guzzi, R. Omar Chavez-Garcia, Luca M. Gambardella, Alessandro Giusti

    9867-9868

    PDF
  • DBA: Dynamic Multi-Armed Bandit Algorithm

    Sadegh Nobari

    9869-9870

    PDF
  • Temporal Video Analyzer (TVAN): Efficient Temporal Video Analysis for Robust Video Description and Search

    Daniel Rotman, Dror Porat, Yevgeny Burshtein, Udi Barzelay

    9871-9872

    PDF
  • K3S: Knowledge-Driven Solution Support System

    Yu Zhang, Morteza Saberi, Min Wang, Elizabeth Chang

    9873-9874

    PDF

Doctoral Consortium Track

  • Stochastic Goal Recognition Design

    Christabel Wayllace

    9904-9905

    PDF
  • Attention Guided Imitation Learning and Reinforcement Learning

    Ruohan Zhang

    9906-9907

    PDF
  • A Theory of State Abstraction for Reinforcement Learning

    David Abel

    9876-9877

    PDF
  • Multi-Agent Coordination under Uncertain Communication

    Nikhil Bhargava

    9878-9879

    PDF
  • Adaptive Planning with Evidence Based Prediction for Improved Fluency in Routine Human-Robot Collaborative Tasks

    Christopher K. Fourie

    9880-9881

    PDF
  • Expressive Real-Time Intersection Scheduling

    Rick Goldstein

    9882-9883

    PDF
  • Reinforcement Learning for Improved Low Resource Dialogue Generation

    Ana V. González-Garduño

    9884-9885

    PDF
  • Counterfactual Reasoning in Observational Studies

    Negar Hassanpour

    9886-9887

    PDF
  • Using Automated Agents to Teach Negotiation

    Emmanuel Johnson

    9888-9889

    PDF
  • Learning Generalized Temporal Abstractions across Both Action and Perception

    Khimya Khetarpal

    9890-9891

    PDF
  • Multi-View Learning from Disparate Sources for Poverty Mapping

    Neeti Pokhriyal

    9892-9893

    PDF
  • Numerical Optimization to AI, and Back

    Sathya N. Ravi

    9894-9895

    PDF
  • Adaptive Modeling for Risk-Aware Decision Making

    Sandhya Saisubramanian

    9896-9897

    PDF
  • Parameterized Heuristics for Incomplete Weighted CSPs

    Atena M. Tabakhi

    9898-9899

    PDF
  • Imitation Learning from Observation

    Faraz Torabi

    9900-9901

    PDF
  • Verifiable and Interpretable Reinforcement Learning through Program Synthesis

    Abhinav Verma

    9902-9903

    PDF

Student Abstract Track

  • Adversarial Framing for Image and Video Classification

    Michał Zajac, Konrad Zołna, Negar Rostamzadeh, Pedro O. Pinheiro

    10077-10078

    PDF
  • Computing Argumentative Explanations in Bipolar Argumentation Frameworks

    Zhiwei Zeng, Chunyan Miao, Cyril Leung, Zhiqi Shen, Jing Jih Chin

    10079-10080

    PDF
  • Geometric Multi-Model Fitting by Deep Reinforcement Learning

    Zongliang Zhang, Hongbin Zeng, Jonathan Li, Yiping Chen, Chenhui Yang, Cheng Wang

    10081-10082

    PDF
  • Semi-Supervised Feature Selection with Adaptive Discriminant Analysis

    Weichan Zhong, Xiaojun Chen, Guowen Yuan, Yiqin Li, Feiping Nie

    10083-10084

    PDF
  • Adaptation Strategies for Applying AWGN-Based Denoiser to Realistic Noise

    Yuqian Zhou, Jianbo Jiao, Haibin Huang, Jue Wang, Thomas Huang

    10085-10086

    PDF
  • Classifier-Agnostic Saliency Map Extraction

    Konrad Zołna, Krzysztof J. Geras, Kyunghyun Cho

    10087-10088

    PDF
  • Towards Sequence-to-Sequence Reinforcement Learning for Constraint Solving with Constraint-Based Local Search

    Helge Spieker

    10037-10038

    PDF
  • Identifying Bottlenecks in Practical SAT-Based Model Finding for First-Order Logic Ontologies with Datasets

    Shirly Stephen, Torsten Hahmann

    10039-10040

    PDF
  • An Adaptive Framework for Conversational Question Answering

    Lixin Su, Jiafeng Guo, Yixing Fan, Yanyan Lan, Ruqing Zhang, Xueqi Cheng

    10041-10042

    PDF
  • Symmetrization for Embedding Directed Graphs

    Jiankai Sun, Srinivasan Parthasarathy

    10043-10044

    PDF
  • Parameterized Heuristics for Incomplete Weighted CSPs

    Atena M. Tabakhi

    10045-10046

    PDF
  • Semi-Supervised Learning for Electron Microscopy Image Segmentation

    Eichi Takaya, Yusuke Takeichi, Mamiko Ozaki, Satoshi Kurihara

    10047-10048

    PDF
  • An Optimal Rewiring Strategy for Cooperative Multiagent Social Learning

    Hongyao Tang, Jianye Hao, Li Wang, Tim Baarslag, Zan Wang

    10049-10050

    PDF
  • Binary Classifier Inspired by Quantum Theory

    Prayag Tiwari, Massimo Melucci

    10051-10052

    PDF
  • MaMiC: Macro and Micro Curriculum for Robotic Reinforcement Learning

    Manan Tomar, Akhil Sathuluri, Balaraman Ravindran

    10053-10054

    PDF
  • Robust Facial Landmark Localization Based on Two-Stage Cascaded Pose Regression

    Ziye Tong, Junwei Zhou, Yanchao Yang, Lee-Ming Cheng

    10055-10056

    PDF
  • Dynamically Identifying Deep Multimodal Features for Image Privacy Prediction

    Ashwini Tonge, Cornelia Caragea

    10057-10058

    PDF
  • Transductive Zero-Shot Learning via Visual Center Adaptation

    Ziyu Wan, Yan Li, Min Yang, Junge Zhang

    10059-10060

    PDF
  • Heterogeneous Attributed Network Embedding with Graph Convolutional Networks

    Yueyang Wang, Ziheng Duan, Binbing Liao, Fei Wu, Yueting Zhuang

    10061-10062

    PDF
  • Improving Full-Body Pose Estimation from a Small Sensor Set Using Artificial Neural Networks and a Kalman Filter

    Frank J. Wouda, Matteo Giuberti, Giovanni Bellusci, Bert-Jan F. van Beijnum, Peter H. Veltink

    10063-10064

    PDF
  • DSINE: Deep Structural Influence Learning via Network Embedding

    Jianjun Wu, Ying Sha, Bo Jiang, Jianlong Tan

    10065-10066

    PDF
  • Incorporating Context-Relevant Knowledge into Convolutional Neural Networks for Short Text Classification

    Jingyun Xu, Yi Cai

    10067-10068

    PDF
  • Towards Gene Function Prediction via Multi-Networks Representation Learning

    Hansheng Xue, Jiajie Peng, Xuequn Shang

    10069-10070

    PDF
  • Manifold Distance-Based Over-Sampling Technique for Class Imbalance Learning

    Lingkai Yang, Yinan Guo, Jian Cheng

    10071-10072

    PDF
  • APRP: An Anonymous Propagation Method in Bitcoin Network

    Yuhang Yao, Xiao Zeng, Tianyue Cao, Luoyi Fu, Xinbing Wang

    10073-10074

    PDF
  • Sequence to Sequence Learning for Query Expansion

    Salah Zaiem, Fatiha Sadat

    10075-10076

    PDF
  • On the Role of Syntactic Graph Convolutions for Identifying and Classifying Argument Components

    Gaku Morio, Katsuhide Fujita

    9997-9998

    PDF
  • Frontier Search and Plan Reconstruction in Oversubscription Planning

    Daniel Muller

    9999-10000

    PDF
  • An Improved Hierarchical Datastructure for Nearest Neighbor Search

    Mengdie Nie, Zhi-Jie Wang, Chunjing Gan, Zhe Quan, Bin Yao, Jian Yin

    10001-10002

    PDF
  • Regularizing Fully Convolutional Networks for Time Series Classification by Decorrelating Filters

    Kaushal Paneri, Vishnu TV, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff

    10003-10004

    PDF
  • A Feasibility Test on Preventing PRMDs Based on Deep Learning

    So-Hyun Park, Sun-Young Ihm, Aziz Nasridinov, Young-Ho Park

    10005-10006

    PDF
  • Strategic Tasks for Explainable Reinforcement Learning

    Rey Pocius, Lawrence Neal, Alan Fern

    10007-10008

    PDF
  • Learning Representations in Model-Free Hierarchical Reinforcement Learning

    Jacob Rafati, David C. Noelle

    10009-10010

    PDF
  • EWGAN: Entropy-Based Wasserstein GAN for Imbalanced Learning

    Jinfu Ren, Yang Liu, Jiming Liu

    10011-10012

    PDF
  • Emergency Department Online Patient-Caregiver Scheduling

    Hanan Rosemarin, Ariel Rosenfeld, Sarit Kraus

    10013-10014

    PDF
  • Learning to Transfer Relational Representations through Analogy

    Gaetano Rossiello, Alfio Gliozzo, Michael Glass

    10015-10016

    PDF
  • Towards Better Accuracy and Robustness with Localized Adversarial Training

    Eitan Rothberg, Tingting Chen, Hao Ji

    10017-10018

    PDF
  • Hierarchical Deep Feature Learning for Decoding Imagined Speech from EEG

    Pramit Saha, Sidney Fels

    10019-10020

    PDF
  • Implementation of Boolean AND and OR Logic Gates with Biologically Reasonable Time Constants in Spiking Neural Networks

    Lakshay Sahni, Debasrita Chakraborty, Ashish Ghosh

    10021-10022

    PDF
  • Lipper: Speaker Independent Speech Synthesis Using Multi-View Lipreading

    Khwaja Mohd. Salik, Swati Aggarwal, Yaman Kumar, Rajiv Ratn Shah, Rohit Jain, Roger Zimmermann

    10023-10024

    PDF
  • A Whole New Ball Game: Harvesting Game Data for Player Profiling

    Ivan Samborskii, Aleksandr Farseev, Andrey Filchenkov, Tat-Seng Chua

    10025-10026

    PDF
  • Towards Task Understanding in Visual Settings

    Sebastin Santy, Wazeer Zulfikar, Rishabh Mehrotra, Emine Yilmaz

    10027-10028

    PDF
  • Examining Political Trustworthiness through Text-Based Measures of Ideology

    Eitan Sapiro-Gheiler

    10029-10030

    PDF
  • Find a Reasonable Ending for Stories: Does Logic Relation Help the Story Cloze Test?

    Mingyue Shang, Zhenxin Fu, Hongzhi Yin, Bo Tang, Dongyan Zhao, Rui Yan

    10031-10032

    PDF
  • MIGAN: Malware Image Synthesis Using GANs

    Abhishek Singh, Debojyoti Dutta, Amit Saha

    10033-10034

    PDF
  • Desiderata for Interpretability: Explaining Decision Tree Predictions with Counterfactuals

    Kacper Sokol, Peter Flach

    10035-10036

    PDF
  • Variational BEJG Solvers for Marginal-MAP Inference with Accurate Approximation of B-Conditional Entropy

    Igor Kiselev

    9957-9958

    PDF
  • SAX Breakpoints for Random Forest Based Real-Time Contrast Control Chart

    In-Seok Lee, Jun-Geol Baek

    9959-9960

    PDF
  • Comparing Sample-Wise Learnability across Deep Neural Network Models

    Seung-Geon Lee, Jaedeok Kim, Hyun-Joo Jung, Yoonsuck Choe

    9961-9962

    PDF
  • Video-Based Sentiment Analysis with hvnLBP-TOP Feature and bi-LSTM

    Haoran Li, Hua Xu

    9963-9964

    PDF
  • Cross-Domain Recommendation via Coupled Factorization Machines

    Lile Li, Quan Do, Wei Liu

    9965-9966

    PDF
  • Efficient Neutrino Oscillation Parameter Inference with Gaussian Process

    Lingge Li, Nitish Nayak, Jianming Bian, Pierre Baldi

    9967-9968

    PDF
  • A Fuzzy Set Based Approach for Rating Bias

    Mingming Li, Jiao Dai, Fuqing Zhu, Liangjun Zang, Songlin Hu, Jizhong Han

    9969-9970

    PDF
  • Meta-Path Augmented Response Generation

    Yanran Li, Wenjie Li

    9971-9972

    PDF
  • Teaching Machines to Extract Main Content for Machine Reading Comprehension

    Zhaohui Li, Yue Feng, Jun Xu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng

    9973-9974

    PDF
  • Location-Based End-to-End Speech Recognition with Multiple Language Models

    Zhijie Lin, Kaiyang Lin, Shiling Chen, Linlin Li, Zhou Zhao

    9975-9976

    PDF
  • Loss-Balanced Task Weighting to Reduce Negative Transfer in Multi-Task Learning

    Shengchao Liu, Yingyu Liang, Anthony Gitter

    9977-9978

    PDF
  • Deep Reinforcement Learning via Past-Success Directed Exploration

    Xiaoming Liu, Zhixiong Xu, Lei Cao, Xiliang Chen, Kai Kang

    9979-9980

    PDF
  • Jointly Multiple Hash Learning

    Xingbo Liu, Xiushan Nie, Yingxin Wang, Yilong Yin

    9981-9982

    PDF
  • Ethically Aligned Mobilization of Community Effort to Reposition Shared Bikes

    Zelei Liu, Han Yu, Leye Wang, Liang Hu, Qiang Yang

    9983-9984

    PDF
  • Towards to Reasonable Decision Basis in Automatic Bone X-Ray Image Classification: A Weakly-Supervised Approach

    Jianjie Lu, Kai-yu Tong

    9985-9986

    PDF
  • A Multi-Task Learning Framework for Abstractive Text Summarization

    Yao Lu, Linqing Liu, Zhile Jiang, Min Yang, Randy Goebel

    9987-9988

    PDF
  • The Level Weighted Structural Similarity Loss: A Step Away from MSE

    Yingjing Lu

    9989-9990

    PDF
  • Adaptive Optimization Framework for Control of Multi-Agent Systems

    Anna Lukina

    9991-9992

    PDF
  • Learning Document Embeddings with Crossword Prediction

    Junyu Luo, Min Yang, Ying Shen, Qiang Qu, Haixia Chai

    9993-9994

    PDF
  • Logic-Based Sequential Decision-Making

    Daoming Lyu, Fangkai Yang, Bo Liu, Daesub Yoon

    9995-9996

    PDF
  • Partners in Crime: Manipulating the Deferred Acceptance Algorithm through an Accomplice

    Theodora Bendlin, Hadi Hosseini

    9917-9918

    PDF
  • Building Human-Machine Trust via Interpretability

    Umang Bhatt, Pradeep Ravikumar, Jos´e M. F. Moura

    9919-9920

    PDF
  • Matroid Constrained Fair Allocation Problem

    Arpita Biswas, Siddharth Barman

    9921-9922

    PDF
  • An Imperfect Algorithm for Coalition Structure Generation

    Narayan Changder, Samir Aknine, Animesh Dutta

    9923-9924

    PDF
  • Robust Principal Component Analysis-Based Infrared Small Target Detection

    Qiwei Chen, Cheng Wu, Yiming Wang

    9925-9926

    PDF
  • WAIS: Word Attention for Joint Intent Detection and Slot Filling

    Sixuan Chen, Shuai Yu

    9927-9928

    PDF
  • T-Center: A Novel Discriminative Feature Extraction Approach for Iris Recognition

    Yifeng Chen, Cheng Wu, Yiming Wang

    9929-9930

    PDF
  • Type Sequence Preserving Heterogeneous Information Network Embedding

    Yuxin Chen, Tengjiao Wang, Wei Chen, Qiang Li, Zhen Qiu

    9931-9932

    PDF
  • CSEye: A Proposed Solution for Accurate and Accessible One-to-Many Face Verification

    Ameer Dharamshi, Rosie Yuyan Zou

    9933-9934

    PDF
  • 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

    9935-9936

    PDF
  • A Meta-Learning Approach for Custom Model Training

    Amir Erfan Eshratifar, Mohammad Saeed Abrishami, David Eigen, Massoud Pedram

    9937-9938

    PDF
  • Reinforcement Learning under Threats

    Victor Gallego, Roi Naveiro, David Rios Insua

    9939-9940

    PDF
  • What’s Most Broken? A Tool to Assist Data-Driven Iterative Improvement of an Intelligent Tutoring System

    Mononito Goswami, Shiven Mian, Jack Mostow

    9941-9942

    PDF
  • WSD-GAN: Word Sense Disambiguation Using Generative Adversarial Networks

    Zijian Hu, Fuli Luo, Yutong Tan, Wenxin Zeng, Zhifang Sui

    9943-9944

    PDF
  • Higher-Order Multi-Layer Community Detection

    Ling Huang, Chang-Dong Wang, Hong-Yang Chao

    9945-9946

    PDF
  • AVS-Net: Automatic Visual Surveillance Using Relation Network

    Sein Jang, Young-Ho Park, Aziz Nasridinov

    9947-9948

    PDF
  • Dynamic Vehicle Traffic Control Using Deep Reinforcement Learning in Automated Material Handling System

    Younkook Kang, Sungwon Lyu, Jeeyung Kim, Bongjoon Park, Sungzoon Cho

    9949-9950

    PDF
  • Mind Your Language: Abuse and Offense Detection for Code-Switched Languages

    Raghav Kapoor, Yaman Kumar, Kshitij Rajput, Rajiv Ratn Shah, Ponnurangam Kumaraguru, Roger Zimmermann

    9951-9952

    PDF
  • A Dynamic Bayesian Network Based Merge Mechanism for Autonomous Vehicles

    Kherroubi Zine el Abidine, Aknine Samir, Bacha Rebiha

    9953-9954

    PDF
  • Learning Options with Interest Functions

    Khimya Khetarpal, Doina Precup

    9955-9956

    PDF
  • CommNets: Communicating Neural Network Architectures for Resource Constrained Systems

    Prince M Abudu

    9909-9910

    PDF
  • Identifying Android Malware Using Network-Based Approaches

    Emily Alfs, Doina Caragea, Nathan Albin, Pietro Poggi-Corradini

    9911-9912

    PDF
  • Learning Flexible Latent Representations via Encapsulated Variational Encoders

    Wenjun Bai, Changqin Quan, Zhi-Wei Luo

    9913-9914

    PDF
  • An SVM-Based Framework for Long-Term Learning Systems

    Diana Benavides-Prado

    9915-9916

    PDF

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