AAAI 2019
1340 papers
"Bilingual Expert" Can Find Translation Errors
Kai Fan, Jiayi Wang, Bo Li, Fengming Zhou, Boxing Chen, Luo Si A Better Algorithm for Societal Tradeoffs
Hanrui Zhang, Yu Cheng, Vincent Conitzer 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 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 A Fuzzy Set Based Approach for Rating Bias
Mingming Li, Jiao Dai, Fuqing Zhu, Liangjun Zang, Songlin Hu, Jizhong Han A Generalized Language Model in Tensor Space
Lipeng Zhang, Peng Zhang, Xindian Ma, Shuqin Gu, Zhan Su, Dawei Song A Grammar-Based Structural CNN Decoder for Code Generation
Zeyu Sun, Qihao Zhu, Lili Mou, Yingfei Xiong, Ge Li, Lu Zhang A Layer-Based Sequential Framework for Scene Generation with GANs
Mehmet Ozgur Turkoglu, William Thong, Luuk J. Spreeuwers, Berkay Kicanaoglu A Meta-Learning Approach for Custom Model Training
Amir Erfan Eshratifar, Mohammad Saeed Abrishami, David Eigen, Massoud Pedram A Neural Network Approach to Verb Phrase Ellipsis Resolution
Weinan Zhang, Yue Zhang, Yuanxing Liu, Donglin Di, Ting Liu 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 A Non-Convex Optimization Approach to Correlation Clustering
Erik Thiel, Morteza Haghir Chehreghani, Devdatt P. Dubhashi A Nonconvex Projection Method for Robust PCA
Aritra Dutta, Filip Hanzely, Peter Richtárik A Novel Framework for Robustness Analysis of Visual QA Models
Jia-Hong Huang, Cuong Duc Dao, Modar Alfadly, Bernard Ghanem A Unified Approach to Online Matching with Conflict-Aware Constraints
Pan Xu, Yexuan Shi, Hao Cheng, John P. Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Yongxin Tong, Leonidas Tsepenekas A Whole New Ball Game: Harvesting Game Data for Player Profiling
Ivan Samborskii, Aleksandr Farseev, Andrey Filchenkov, Tat-Seng Chua A2-Net: Molecular Structure Estimation from Cryo-EM Density Volumes
Kui Xu, Zhe Wang, Jianping Shi, Hongsheng Li, Qiangfeng Cliff Zhang ABox Abduction via Forgetting in ALC
Warren Del-Pinto, Renate A. Schmidt Abstracting Causal Models
Sander Beckers, Joseph Y. Halpern Abstractive Text Summarization by Incorporating Reader Comments
Shen Gao, Xiuying Chen, Piji Li, Zhaochun Ren, Lidong Bing, Dongyan Zhao, Rui Yan Acting and Planning Using Operational Models
Sunandita Patra, Malik Ghallab, Dana S. Nau, Paolo Traverso Active Generative Adversarial Network for Image Classification
Quan Kong, Bin Tong, Martin Klinkigt, Yuki Watanabe, Naoto Akira, Tomokazu Murakami Active Mini-Batch Sampling Using Repulsive Point Processes
Cheng Zhang, Cengiz Öztireli, Stephan Mandt, Giampiero Salvi Adapting Translation Models for Transcript Disfluency Detection
Qianqian Dong, Feng Wang, Zhen Yang, Wei Chen, Shuang Xu, Bo Xu Adaptive Region Embedding for Text Classification
Liuyu Xiang, Xiaoming Jin, Lan Yi, Guiguang Ding Adversarial Dropout for Recurrent Neural Networks
Sungrae Park, Kyungwoo Song, Mingi Ji, Wonsung Lee, Il-Chul Moon Adversarial Framing for Image and Video Classification
Michal Zajac, Konrad Zolna, Negar Rostamzadeh, Pedro O. Pinheiro Adversarial Label Learning
Chidubem Arachie, Bert Huang Adversarial Learning for Weakly-Supervised Social Network Alignment
Chaozhuo Li, Senzhang Wang, Yukun Wang, Philip S. Yu, Yanbo Liang, Yun Liu, Zhoujun Li 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 Adversarial Unsupervised Representation Learning for Activity Time-Series
Karan Aggarwal, Shafiq R. Joty, Luis Fernández-Luque, Jaideep Srivastava Allocating Planning Effort When Actions Expire
Shahaf S. Shperberg, Andrew Coles, Bence Cserna, Erez Karpas, Wheeler Ruml, Solomon Eyal Shimony Almost Unsupervised Learning for Dense Crowd Counting
Deepak Babu Sam, Neeraj N. Sajjan, Himanshu Maurya, R. Venkatesh Babu Amalgamating Knowledge Towards Comprehensive Classification
Chengchao Shen, Xinchao Wang, Jie Song, Li Sun, Mingli Song An Adaptive Framework for Conversational Question Answering
Lixin Su, Jiafeng Guo, Yixing Fan, Yanyan Lan, Ruqing Zhang, Xueqi Cheng An Efficient Approach to Informative Feature Extraction from Multimodal Data
Lichen Wang, Jiaxiang Wu, Shao-Lun Huang, Lizhong Zheng, Xiangxiang Xu, Lin Zhang, Junzhou Huang An Improved Hierarchical Datastructure for Nearest Neighbor Search
Mengdie Nie, Zhi-Jie Wang, Chunjing Gan, Zhe Quan, Bin Yao, Jian Yin An Integral Tag Recommendation Model for Textual Content
Shijie Tang, Yuan Yao, Suwei Zhang, Feng Xu, Tianxiao Gu, Hanghang Tong, Xiaohui Yan, Jian Lu An Open-World Extension to Knowledge Graph Completion Models
Haseeb Shah, Johannes Villmow, Adrian Ulges, Ulrich Schwanecke, Faisal Shafait Anomaly Detection Using Autoencoders in High Performance Computing Systems
Andrea Borghesi, Andrea Bartolini, Michele Lombardi, Michela Milano, Luca Benini Antonym-Synonym Classification Based on New Sub-Space Embeddings
Muhammad Asif Ali, Yifang Sun, Xiaoling Zhou, Wei Wang, Xiang Zhao Anytime Recursive Best-First Search for Bounding Marginal MAP
Radu Marinescu, Akihiro Kishimoto, Adi Botea, Rina Dechter, Alexander Ihler 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 Approximation and Hardness of Shift-Bribery
Piotr Faliszewski, Pasin Manurangsi, Krzysztof Sornat APRP: An Anonymous Propagation Method in Bitcoin Network
Yuhang Yao, Xiao Zeng, Tianyue Cao, Luoyi Fu, Xinbing Wang Argumentation for Explainable Scheduling
Kristijonas Cyras, Dimitrios Letsios, Ruth Misener, Francesca Toni Artificial Counselor System for Stock Investment
Hadi NekoeiQachkanloo, Benyamin Ghojogh, Ali Saheb Pasand, Mark Crowley 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 ATP: Directed Graph Embedding with Asymmetric Transitivity Preservation
Jiankai Sun, Bortik Bandyopadhyay, Armin Bashizade, Jiongqian Liang, P. Sadayappan, Srinivasan Parthasarathy Attacking Data Transforming Learners at Training Time
Scott Alfeld, Ara Vartanian, Lucas Newman-Johnson, Benjamin I. P. Rubinstein Attention-Based Multi-Context Guiding for Few-Shot Semantic Segmentation
Tao Hu, Pengwan Yang, Chiliang Zhang, Gang Yu, Yadong Mu, Cees G. M. Snoek Attentive Tensor Product Learning
Qiuyuan Huang, Li Deng, Dapeng Oliver Wu, Chang Liu, Xiaodong He Augmenting Markov Decision Processes with Advising
Loïs Vanhée, Laurent Jeanpierre, Abdel-Illah Mouaddib Automated Dispatch of Helpdesk Email Tickets: Pushing the Limits with AI
Atri Mandal, Nikhil Malhotra, Shivali Agarwal, Anupama Ray, Giriprasad Sridhara Automatic Bayesian Density Analysis
Antonio Vergari, Alejandro Molina, Robert Peharz, Zoubin Ghahramani, Kristian Kersting, Isabel Valera Automatic Generation of Leveled Visual Assessments for Young Learners
Anjali Singh, Ruhi Sharma Mittal, Shubham Atreja, Mourvi Sharma, Seema Nagar, Prasenjit Dey, Mohit Jain AutoSense Model for Word Sense Induction
Reinald Kim Amplayo, Seung-won Hwang, Min Song AutoZOOM: Autoencoder-Based Zeroth Order Optimization Method for Attacking Black-Box Neural Networks
Chun-Chen Tu, Pai-Shun Ting, Pin-Yu Chen, Sijia Liu, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh, Shin-Ming Cheng Balanced Linear Contextual Bandits
Maria Dimakopoulou, Zhengyuan Zhou, Susan Athey, Guido Imbens Balanced Sparsity for Efficient DNN Inference on GPU
Zhuliang Yao, Shijie Cao, Wencong Xiao, Chen Zhang, Lanshun Nie Bayesian Deep Collaborative Matrix Factorization
Teng Xiao, Shangsong Liang, Weizhou Shen, Zaiqiao Meng Bayesian Execution Skill Estimation
Christopher Archibald, Delma Nieves-Rivera Bayesian Fairness
Christos Dimitrakakis, Yang Liu, David C. Parkes, Goran Radanovic Bayesian Functional Optimisation with Shape Prior
Pratibha Vellanki, Santu Rana, Sunil Gupta, David Rubin de Celis Leal, Alessandra Sutti, Murray Height, Svetha Venkatesh 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 Beyond Speech: Generalizing D-Vectors for Biometric Verification
Jacob Baldwin, Ryan Burnham, Andrew Meyer, Robert Dora, Robert Wright 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 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 Bounded Suboptimal Search with Learned Heuristics for Multi-Agent Systems
Markus Spies, Marco Todescato, Hannes Becker, Patrick Kesper, Nicolai Waniek, Meng Guo Building Causal Graphs from Medical Literature and Electronic Medical Records
Galia Nordon, Gideon Koren, Varda Shalev, Benny Kimelfeld, Uri Shalit, Kira Radinsky Building Ethically Bounded AI
Francesca Rossi, Nicholas Mattei Building Human-Machine Trust via Interpretability
Umang Bhatt, Pradeep Ravikumar, José M. F. Moura CAFE: Adaptive VDI Workload Prediction with Multi-Grained Features
Yao Zhang, Wen-Ping Fan, Xuan Wu, Hua Chen, Bin-Yang Li, Min-Ling Zhang Calibrated Stochastic Gradient Descent for Convolutional Neural Networks
Li'an Zhuo, Baochang Zhang, Chen Chen, Qixiang Ye, Jianzhuang Liu, David S. Doermann Capacity Control of ReLU Neural Networks by Basis-Path Norm
Shuxin Zheng, Qi Meng, Huishuai Zhang, Wei Chen, Nenghai Yu, Tie-Yan Liu Character-Level Language Modeling with Deeper Self-Attention
Rami Al-Rfou, Dokook Choe, Noah Constant, Mandy Guo, Llion Jones CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison
Jeremy Irvin, Pranav Rajpurkar, Michael Ko, Yifan Yu, Silviana Ciurea-Ilcus, Christopher Chute, Henrik Marklund, Behzad Haghgoo, Robyn L. Ball, Katie S. Shpanskaya, Jayne Seekins, David A. Mong, Safwan S. Halabi, Jesse K. Sandberg, Ricky Jones, David B. Larson, Curtis P. Langlotz, Bhavik N. Patel, Matthew P. Lungren, Andrew Y. Ng Chinese NER with Height-Limited Constituent Parsing
Rui Wang, Xin Xin, Wei Chang, Kun Ming, Biao Li, Xin Fan Classifier-Agnostic Saliency mAP Extraction
Konrad Zolna, Krzysztof J. Geras, Kyunghyun Cho 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 Clipped Matrix Completion: A Remedy for Ceiling Effects
Takeshi Teshima, Miao Xu, Issei Sato, Masashi Sugiyama Combined Reinforcement Learning via Abstract Representations
Vincent François-Lavet, Yoshua Bengio, Doina Precup, Joelle Pineau Communication-Efficient Stochastic Gradient MCMC for Neural Networks
Chunyuan Li, Changyou Chen, Yunchen Pu, Ricardo Henao, Lawrence Carin Community Focusing: Yet Another Query-Dependent Community Detection
Zhuo Wang, Weiping Wang, Chaokun Wang, Xiaoyan Gu, Bo Li, Dan Meng Comparative Document Summarisation via Classification
Umanga Bista, Alexander Patrick Mathews, Minjeong Shin, Aditya Krishna Menon, Lexing Xie Composable Modular Reinforcement Learning
Christopher L. Simpkins, Charles L. Isbell Jr. Composite Binary Decomposition Networks
You Qiaoben, Zheng Wang, Jianguo Li, Yinpeng Dong, Yu-Gang Jiang, Jun Zhu Concurrency Debugging with MaxSMT
Miguel Terra-Neves, Nuno Machado, Inês Lynce, Vasco Manquinho Confidence Weighted Multitask Learning
Peng Yang, Peilin Zhao, Jiayu Zhou, Xin Gao Congestion Graphs for Automated Time Predictions
Arik Senderovich, J. Christopher Beck, Avigdor Gal, Matthias Weidlich Consensus Adversarial Domain Adaptation
Han Zou, Yuxun Zhou, Jianfei Yang, Huihan Liu, Hari Prasanna Das, Costas J. Spanos Context-Aware Self-Attention Networks
Baosong Yang, Jian Li, Derek F. Wong, Lidia S. Chao, Xing Wang, Zhaopeng Tu Contextualized Non-Local Neural Networks for Sequence Learning
Pengfei Liu, Shuaichen Chang, Xuanjing Huang, Jian Tang, Jackie Chi Kit Cheung Cooperative Multimodal Approach to Depression Detection in Twitter
Tao Gui, Liang Zhu, Qi Zhang, Minlong Peng, Xu Zhou, Keyu Ding, Zhigang Chen Cost-Sensitive Learning to Rank
Ryan McBride, Ke Wang, Zhouyang Ren, Wenyuan Li 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 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 DAN: Deep Attention Neural Network for News Recommendation
Qiannan Zhu, Xiaofei Zhou, Zeliang Song, Jianlong Tan, Li Guo Data Fine-Tuning
Saheb Chhabra, Puspita Majumdar, Mayank Vatsa, Richa Singh Data-Adaptive Metric Learning with Scale Alignment
Shuo Chen, Chen Gong, Jian Yang, Ying Tai, Le Hui, Jun Li Deception in Finitely Repeated Security Games
Thanh Hong Nguyen, Yongzhao Wang, Arunesh Sinha, Michael P. Wellman 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 Deep Convolutional Sum-Product Networks
Cory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos, André L. Teixeira 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 Deep Learning for Cost-Optimal Planning: Task-Dependent Planner Selection
Silvan Sievers, Michael Katz, Shirin Sohrabi, Horst Samulowitz, Patrick Ferber Deep Metric Learning by Online Soft Mining and Class-Aware Attention
Xinshao Wang, Yang Hua, Elyor Kodirov, Guosheng Hu, Neil Martin Robertson Deep Reactive Policies for Planning in Stochastic Nonlinear Domains
Thiago Pereira Bueno, Leliane N. de Barros, Denis Deratani Mauá, Scott Sanner Deep Recurrent Survival Analysis
Kan Ren, Jiarui Qin, Lei Zheng, Zhengyu Yang, Weinan Zhang, Lin Qiu, Yong Yu 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 Deep Robust Unsupervised Multi-Modal Network
Yang Yang, Yi-Feng Wu, De-Chuan Zhan, Zhi-Bin Liu, Yuan Jiang Deep Short Text Classification with Knowledge Powered Attention
Jindong Chen, Yizhou Hu, Jingping Liu, Yanghua Xiao, Haiyun Jiang Deliberate Attention Networks for Image Captioning
Lianli Gao, Kaixuan Fan, Jingkuan Song, Xianglong Liu, Xing Xu, Heng Tao Shen Dependency or Span, End-to-End Uniform Semantic Role Labeling
Zuchao Li, Shexia He, Hai Zhao, Yiqing Zhang, Zhuosheng Zhang, Xi Zhou, Xiang Zhou 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 Determining Solvability in the Birds of a Feather Card Game
Shuto Araki, Juan Pablo Arenas Uribe, Zach Wilkerson, Steven Bogaerts, Chad Byers DialogueRNN: An Attentive RNN for Emotion Detection in Conversations
Navonil Majumder, Soujanya Poria, Devamanyu Hazarika, Rada Mihalcea, Alexander F. Gelbukh, Erik Cambria Discovering Temporal Patterns from Insurance Interaction Data
Maleeha Qazi, Srinivas Tunuguntla, Peng Lee, Teja Kanchinadam, Glenn Fung, Neeraj Arora Discrete Social Recommendation
Chenghao Liu, Xin Wang, Tao Lu, Wenwu Zhu, Jianling Sun, Steven C. H. Hoi Distributional Semantics Meets Multi-Label Learning
Vivek Gupta, Rahul Wadbude, Nagarajan Natarajan, Harish Karnick, Prateek Jain, Piyush Rai Distributionally Adversarial Attack
Tianhang Zheng, Changyou Chen, Kui Ren Distributionally Robust Semi-Supervised Learning for People-Centric Sensing
Kaixuan Chen, Lina Yao, Dalin Zhang, Xiaojun Chang, Guodong Long, Sen Wang Diversity-Driven Extensible Hierarchical Reinforcement Learning
Yuhang Song, Jianyi Wang, Thomas Lukasiewicz, Zhenghua Xu, Mai Xu DRr-Net: Dynamic Re-Read Network for Sentence Semantic Matching
Kun Zhang, Guangyi Lv, Linyuan Wang, Le Wu, Enhong Chen, Fangzhao Wu, Xing Xie 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 Dueling Bandits with Qualitative Feedback
Liyuan Xu, Junya Honda, Masashi Sugiyama Dynamic Capsule Attention for Visual Question Answering
Yiyi Zhou, Rongrong Ji, Jinsong Su, Xiaoshuai Sun, Weiqiu Chen DyS: A Framework for Mixture Models in Quantification
André Gustavo Maletzke, Denis Moreira dos Reis, Everton Alvares Cherman, Gustavo E. A. P. A. Batista Early-Stopping of Scattering Pattern Observation with Bayesian Modeling
Akinori Asahara, Hidekazu Morita, Chiharu Mitsumata, Kanta Ono, Masao Yano, Tetsuya Shoji Efficient and Effective Incomplete Multi-View Clustering
Xinwang Liu, Xinzhong Zhu, Miaomiao Li, Chang Tang, En Zhu, Jianping Yin, Wen Gao Efficient Data Point Pruning for One-Class SVM
Yasuhiro Fujiwara, Sekitoshi Kanai, Junya Arai, Yasutoshi Ida, Naonori Ueda Efficient Gaussian Process Classification Using Pólya-Gamma Data Augmentation
Florian Wenzel, Théo Galy-Fajou, Christian Donner, Marius Kloft, Manfred Opper Efficient Online Learning for Mapping Kernels on Linguistic Structures
Giovanni Da San Martino, Alessandro Sperduti, Fabio Aiolli, Alessandro Moschitti Efficient Solving of Birds of a Feather Puzzles
Todd W. Neller, Connor Berson, Jivan Kharel, Ryan Smolik Efficient Temporal Planning Using Metastates
Amanda Jane Coles, Andrew Coles, J. Christopher Beck Efficiently Reasoning with Interval Constraints in Forward Search Planning
Amanda Jane Coles, Andrew Coles, Moisés Martínez, Emre Savas, Juan Manuel Delfa, Tomás de la Rosa, Yolanda E-Martín, Angel García Olaya Embedding Uncertain Knowledge Graphs
Xuelu Chen, Muhao Chen, Weijia Shi, Yizhou Sun, Carlo Zaniolo Enriching Non-Parametric Bidirectional Search Algorithms
Shahaf S. Shperberg, Ariel Felner, Nathan R. Sturtevant, Solomon Eyal Shimony, Avi Hayoun EnsNet: Ensconce Text in the Wild
Shuaitao Zhang, Yuliang Liu, Lianwen Jin, Yaoxiong Huang, Songxuan Lai Envisioning AI for K-12: What Should Every Child Know About AI?
David S. Touretzky, Christina Gardner-McCune, Fred Martin, Deborah W. Seehorn eRevise: Using Natural Language Processing to Provide Formative Feedback on Text Evidence Usage in Student Writing
Haoran Zhang, Ahmed Magooda, Diane J. Litman, Richard Correnti, Elaine Wang, Lindsay Clare Matsumura, Emily Howe, Rafael Quintana Evaluating Recommender System Stability with Influence-Guided Fuzzing
David Shriver, Sebastian G. Elbaum, Matthew B. Dwyer, David S. Rosenblum Explainable Reasoning over Knowledge Graphs for Recommendation
Xiang Wang, Dingxian Wang, Canran Xu, Xiangnan He, Yixin Cao, Tat-Seng Chua Explicit Interaction Model Towards Text Classification
Cunxiao Du, Zhaozheng Chen, Fuli Feng, Lei Zhu, Tian Gan, Liqiang Nie Exploiting Background Knowledge in Compact Answer Generation for Why-Questions
Ryu Iida, Canasai Kruengkrai, Ryo Ishida, Kentaro Torisawa, Jong-Hoon Oh, Julien Kloetzer Exploiting Class Learnability in Noisy Data
Matthew Klawonn, Eric Heim, James A. Hendler Exploiting Local Feature Patterns for Unsupervised Domain Adaptation
Jun Wen, Risheng Liu, Nenggan Zheng, Qian Zheng, Zhefeng Gong, Junsong Yuan Fair and Efficient Memory Sharing: Confronting Free Riders
Eric J. Friedman, Vasilis Gkatzelis, Christos-Alexandros Psomas, Scott Shenker Fair Division with a Secretive Agent
Eshwar Ram Arunachaleswaran, Siddharth Barman, Nidhi Rathi Fair Knapsack
Till Fluschnik, Piotr Skowron, Mervin Triphaus, Kai Wilker Fairly Allocating Many Goods with Few Queries
Hoon Oh, Ariel D. Procaccia, Warut Suksompong Fast Incremental SVDD Learning Algorithm with the Gaussian Kernel
Hansi Jiang, Haoyu Wang, Wenhao Hu, Deovrat Kakde, Arin Chaudhuri Forecasting Intra-Hour Imbalances in Electric Power Systems
Tárik S. Salem, Karan Kathuria, Heri Ramampiaro, Helge Langseth Forgetting in Modular Answer Set Programming
Ricardo Gonçalves, Tomi Janhunen, Matthias Knorr, João Leite, Stefan Woltran 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 From Recommendation Systems to Facility Location Games
Omer Ben-Porat, Gregory Goren, Itay Rosenberg, Moshe Tennenholtz From Zero-Shot Learning to Cold-Start Recommendation
Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Yang Yang, Zi Huang 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 Gated Residual Recurrent Graph Neural Networks for Traffic Prediction
Cen Chen, Kenli Li, Sin G. Teo, Xiaofeng Zou, Kang Wang, Jie Wang, Zeng Zeng Gaussian-Induced Convolution for Graphs
Jiatao Jiang, Zhen Cui, Chunyan Xu, Jian Yang Generalized Distance Bribery
Dorothea Baumeister, Tobias Hogrebe, Lisa Rey Generating Chinese Ci with Designated Metrical Structure
Richong Zhang, Xinyu Liu, Xinwei Chen, Zhiyuan Hu, Zhaoqing Xu, Yongyi Mao Generating Live Soccer-Match Commentary from Play Data
Yasufumi Taniguchi, Yukun Feng, Hiroya Takamura, Manabu Okumura GeniePath: Graph Neural Networks with Adaptive Receptive Paths
Ziqi Liu, Chaochao Chen, Longfei Li, Jun Zhou, Xiaolong Li, Le Song, Yuan Qi Geometric Multi-Model Fitting by Deep Reinforcement Learning
Zongliang Zhang, Hongbin Zeng, Jonathan Li, Yiping Chen, Chenhui Yang, Cheng Wang Geometry-Aware Face Completion and Editing
Linsen Song, Jie Cao, Lingxiao Song, Yibo Hu, Ran He 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 Global Remote Operation of Intelligent Space Robot Assistants
Daniel Leidner, Peter Schmaus, Florian Schmidt, Benedikt Pleintinger, Ralph Bayer, Adrian Simon Bauer, Thomas Krüger, Neal Y. Lii Gradient-Based Inference for Networks with Output Constraints
Jay Yoon Lee, Sanket Vaibhav Mehta, Michael L. Wick, Jean-Baptiste Tristan, Jaime G. Carbonell Grading Uncompilable Programs
Rohit Takhar, Varun Aggarwal Group Fairness for the Allocation of Indivisible Goods
Vincent Conitzer, Rupert Freeman, Nisarg Shah, Jennifer Wortman Vaughan Guided Dropout
Rohit Keshari, Richa Singh, Mayank Vatsa Hashtag Recommendation for Photo Sharing Services
Suwei Zhang, Yuan Yao, Feng Xu, Hanghang Tong, Xiaohui Yan, Jian Lu Heuristic Voting as Ordinal Dominance Strategies
Omer Lev, Reshef Meir, Svetlana Obraztsova, Maria Polukarov Hierarchical Photo-Scene Encoder for Album Storytelling
Bairui Wang, Lin Ma, Wei Zhang, Wenhao Jiang, Feng Zhang High Dimensional Clustering with R-Nets
Georgia Avarikioti, Alain Ryser, Yuyi Wang, Roger Wattenhofer Higher-Order Multi-Layer Community Detection
Ling Huang, Chang-Dong Wang, Hong-Yang Chao Holographic Factorization Machines for Recommendation
Yi Tay, Shuai Zhang, Anh Tuan Luu, Siu Cheung Hui, Lina Yao, Tran Dang Quang Vinh Horizontal Pyramid Matching for Person Re-Identification
Yang Fu, Yunchao Wei, Yuqian Zhou, Honghui Shi, Gao Huang, Xinchao Wang, Zhiqiang Yao, Thomas S. Huang Hotels-50k: A Global Hotel Recognition Dataset
Abby Stylianou, Hong Xuan, Maya Shende, Jonathan Brandt, Richard Souvenir, Robert Pless How Similar Are Two Elections?
Piotr Faliszewski, Piotr Skowron, Arkadii Slinko, Stanislaw Szufa, Nimrod Talmon Human Action Transfer Based on 3D Model Reconstruction
Shanyan Guan, Shuo Wen, Dexin Yang, Bingbing Ni, Wendong Zhang, Jun Tang, Xiaokang Yang Human-in-the-Loop Feature Selection
Alvaro H. C. Correia, Freddy Lécué Human-like Sketch Object Recognition via Analogical Learning
Kezhen Chen, Irina Rabkina, Matthew D. McLure, Kenneth D. Forbus Hybrid Reinforcement Learning with Expert State Sequences
Xiaoxiao Guo, Shiyu Chang, Mo Yu, Gerald Tesauro, Murray Campbell Hypergraph Neural Networks
Yifan Feng, Haoxuan You, Zizhao Zhang, Rongrong Ji, Yue Gao Identifying Android Malware Using Network-Based Approaches
Emily Alfs, Doina Caragea, Nathan Albin, Pietro Poggi-Corradini Image Block Augmentation for One-Shot Learning
Zitian Chen, Yanwei Fu, Kaiyu Chen, Yu-Gang Jiang 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 Incorporating Behavioral Constraints in Online AI Systems
Avinash Balakrishnan, Djallel Bouneffouf, Nicholas Mattei, Francesca Rossi 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 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 Inter-Class Angular Loss for Convolutional Neural Networks
Le Hui, Xiang Li, Chen Gong, Meng Fang, Joey Tianyi Zhou, Jian Yang Interpretation of Neural Networks Is Fragile
Amirata Ghorbani, Abubakar Abid, James Y. Zou Iterative Classroom Teaching
Teresa Yeo, Parameswaran Kamalaruban, Adish Singla, Arpit Merchant, Thibault Asselborn, Louis Faucon, Pierre Dillenbourg, Volkan Cevher Jointly Multiple Hash Learning
Xingbo Liu, Xiushan Nie, Yingxin Wang, Yilong Yin K3S: Knowledge-Driven Solution Support System
Yu Zhang, Morteza Saberi, Min Wang, Elizabeth Chang Kernelized Hashcode Representations for Relation Extraction
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