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33rd AAAI 2019: Honolulu, Hawaii, USA
- The Thirty-Third AAAI Conference on Artificial Intelligence, AAAI 2019, The Thirty-First Innovative Applications of Artificial Intelligence Conference, IAAI 2019, The Ninth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019, Honolulu, Hawaii, USA, January 27 - February 1, 2019. AAAI Press 2019, ISBN 978-1-57735-809-1
AAAI Technical Track: AI and the Web
- Avinash Balakrishnan, Djallel Bouneffouf, Nicholas Mattei, Francesca Rossi:
Incorporating Behavioral Constraints in Online AI Systems. 3-11 - Sambaran Bandyopadhyay, Lokesh Nagalapatti, M. Narasimha Murty:
Outlier Aware Network Embedding for Attributed Networks. 12-19 - Umanga Bista, Alexander Patrick Mathews, Minjeong Shin, Aditya Krishna Menon, Lexing Xie
:
Comparative Document Summarisation via Classification. 20-28 - Jiaoyan Chen, Ernesto Jiménez-Ruiz, Ian Horrocks, Charles Sutton:
ColNet: Embedding the Semantics of Web Tables for Column Type Prediction. 29-36 - Jin Chen, Defu Lian, Kai Zheng:
Improving One-Class Collaborative Filtering via Ranking-Based Implicit Regularizer. 37-44 - Long Chen, Ziyu Guan, Wei Zhao, Wanqing Zhao
, Xiaopeng Wang, Zhou Zhao, Huan Sun:
Answer Identification from Product Reviews for User Questions by Multi-Task Attentive Networks. 45-52 - Xu Chen, Yongfeng Zhang, Zheng Qin:
Dynamic Explainable Recommendation Based on Neural Attentive Models. 53-60 - Zhi-Hong Deng, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu:
DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System. 61-68 - Haoyu Dong, Shijie Liu, Shi Han, Zhouyu Fu, Dongmei Zhang:
TableSense: Spreadsheet Table Detection with Convolutional Neural Networks. 69-76 - Tiansi Dong, Zhigang Wang, Juanzi Li, Christian Bauckhage, Armin B. Cremers:
Triple Classification Using Regions and Fine-Grained Entity Typing. 77-85 - Zi-Yi Dou, Zhaopeng Tu, Xing Wang, Longyue Wang, Shuming Shi, Tong Zhang:
Dynamic Layer Aggregation for Neural Machine Translation with Routing-by-Agreement. 86-93 - Wenjing Fu, Zhaohui Peng, Senzhang Wang, Yang Xu, Jin Li:
Deeply Fusing Reviews and Contents for Cold Start Users in Cross-Domain Recommendation Systems. 94-101 - Xiaolong Gong, Linpeng Huang, Fuwei Wang:
Feature Sampling Based Unsupervised Semantic Clustering for Real Web Multi-View Content. 102-109 - Tao Gui, Liang Zhu, Qi Zhang, Minlong Peng, Xu Zhou, Keyu Ding, Zhigang Chen:
Cooperative Multimodal Approach to Depression Detection in Twitter. 110-117 - Jun Guo
, Jiahui Ye:
Anchors Bring Ease: An Embarrassingly Simple Approach to Partial Multi-View Clustering. 118-125 - Zhizhong Han, Mingyang Shang, Xiyang Wang, Yu-Shen Liu
, Matthias Zwicker:
Y2Seq2Seq: Cross-Modal Representation Learning for 3D Shape and Text by Joint Reconstruction and Prediction of View and Word Sequences. 126-133 - Shizhu He, Kang Liu, Weiting An:
Learning to Align Question and Answer Utterances in Customer Service Conversation with Recurrent Pointer Networks. 134-141 - Ryu Iida, Canasai Kruengkrai, Ryo Ishida, Kentaro Torisawa, Jong-Hoon Oh, Julien Kloetzer:
Exploiting Background Knowledge in Compact Answer Generation for Why-Questions. 142-151 - Di Jin, Ziyang Liu, Weihao Li, Dongxiao He, Weixiong Zhang:
Graph Convolutional Networks Meet Markov Random Fields: Semi-Supervised Community Detection in Attribute Networks. 152-159 - Di Jin, Xinxin You, Weihao Li, Dongxiao He, Peng Cui, Françoise Fogelman-Soulié, Tanmoy Chakraborty:
Incorporating Network Embedding into Markov Random Field for Better Community Detection. 160-167 - Ricky Laishram, Jeremy D. Wendt, Sucheta Soundarajan:
Crawling the Community Structure of Multiplex Networks. 168-175 - Chao Li, Cheng Deng, Lei Wang, De Xie, Xianglong Liu:
Coupled CycleGAN: Unsupervised Hashing Network for Cross-Modal Retrieval. 176-183 - Xiaoming Li, Hui Fang, Jie Zhang:
Supervised User Ranking in Signed Social Networks. 184-191 - Zeyu Li, Jyun-Yu Jiang, Yizhou Sun, Wei Wang:
Personalized Question Routing via Heterogeneous Network Embedding. 192-199 - Dongliang Liao, Jin Xu, Gongfu Li, Weijie Huang, Weiqing Liu, Jing Li:
Popularity Prediction on Online Articles with Deep Fusion of Temporal Process and Content Features. 200-207 - Chenghao Liu, Xin Wang, Tao Lu, Wenwu Zhu, Jianling Sun, Steven C. H. Hoi:
Discrete Social Recommendation. 208-215 - Jiaqi Ma
, Zhe Zhao, Jilin Chen, Ang Li, Lichan Hong, Ed H. Chi:
SNR: Sub-Network Routing for Flexible Parameter Sharing in Multi-Task Learning. 216-223 - Fandong Meng, Jinchao Zhang:
DTMT: A Novel Deep Transition Architecture for Neural Machine Translation. 224-231 - Jinfeng Rao, Wei Yang, Yuhao Zhang, Ferhan Türe, Jimmy Lin:
Multi-Perspective Relevance Matching with Hierarchical ConvNets for Social Media Search. 232-240 - Shuo Ren, Zhirui Zhang, Shujie Liu, Ming Zhou, Shuai Ma:
Unsupervised Neural Machine Translation with SMT as Posterior Regularization. 241-248 - Jiaming Shen, Ruiliang Lyu, Xiang Ren, Michelle Vanni, Brian M. Sadler
, Jiawei Han:
Mining Entity Synonyms with Efficient Neural Set Generation. 249-256 - Atanu R. Sinha, Deepali Jain, Nikhil Sheoran
, Sopan Khosla, Reshmi Sasidharan:
Surveys without Questions: A Reinforcement Learning Approach. 257-264 - Jiankai Sun, Bortik Bandyopadhyay, Armin Bashizade, Jiongqian Liang, P. Sadayappan, Srinivasan Parthasarathy:
ATP: Directed Graph Embedding with Asymmetric Transitivity Preservation. 265-272 - Xiaoxiao Sun
, Liyi Chen, Jufeng Yang:
Learning from Web Data Using Adversarial Discriminative Neural Networks for Fine-Grained Classification. 273-280 - Kunihiro Takeoka, Masafumi Oyamada, Shinji Nakadai, Takeshi Okadome:
Meimei: An Efficient Probabilistic Approach for Semantically Annotating Tables. 281-288 - Zhiwen Tang, Grace Hui Yang
:
DeepTileBars: Visualizing Term Distribution for Neural Information Retrieval. 289-296 - Bayu Distiawan Trisedya, Jianzhong Qi, Rui Zhang:
Entity Alignment between Knowledge Graphs Using Attribute Embeddings. 297-304 - Quoc-Tuan Truong, Hady W. Lauw
:
VistaNet: Visual Aspect Attention Network for Multimodal Sentiment Analysis. 305-312 - Chun-Hsiang Wang, Kang-Chun Fan, Chuan-Ju Wang, Ming-Feng Tsai:
UGSD: User Generated Sentiment Dictionaries from Online Customer Reviews. 313-320 - Yingkui Wang, Di Jin, Katarzyna Musial
, Jianwu Dang:
Community Detection in Social Networks Considering Topic Correlations. 321-328 - Zhuo Wang, Weiping Wang
, Chaokun Wang, Xiaoyan Gu
, Bo Li
, Dan Meng:
Community Focusing: Yet Another Query-Dependent Community Detection. 329-337 - Hong Wen, Jing Zhang
, Quan Lin, Keping Yang, Pipei Huang:
Multi-Level Deep Cascade Trees for Conversion Rate Prediction in Recommendation System. 338-345 - Shu Wu, Yuyuan Tang, Yanqiao Zhu
, Liang Wang, Xing Xie, Tieniu Tan:
Session-Based Recommendation with Graph Neural Networks. 346-353 - Jing Xiao, Liang Liao, Qiegen Liu, Ruimin Hu:
CISI-net: Explicit Latent Content Inference and Imitated Style Rendering for Image Inpainting. 354-362 - Haitao Xiong
, Hongfu Liu, Bineng Zhong, Yun Fu:
Structured and Sparse Annotations for Image Emotion Distribution Learning. 363-370 - Nan Xu, Wenji Mao, Guandan Chen:
Multi-Interactive Memory Network for Aspect Based Multimodal Sentiment Analysis. 371-378 - Peng Xu, Zhaohong Deng, Kup-Sze Choi, Longbing Cao
, Shitong Wang:
Multi-View Information-Theoretic Co-Clustering for Co-Occurrence Data. 379-386 - Baosong Yang, Jian Li, Derek F. Wong, Lidia S. Chao, Xing Wang, Zhaopeng Tu:
Context-Aware Self-Attention Networks. 387-394 - Xiao Yang, Madian Khabsa, Miaosen Wang, Wei Wang, Ahmed Hassan Awadallah, Daniel Kifer, C. Lee Giles
:
Adversarial Training for Community Question Answer Selection Based on Multi-Scale Matching. 395-402 - Xun Yang, Yunshan Ma, Lizi Liao
, Meng Wang, Tat-Seng Chua:
TransNFCM: Translation-Based Neural Fashion Compatibility Modeling. 403-410 - Qian Yu, Wai Lam:
Data Augmentation Based on Adversarial Autoencoder Handling Imbalance for Learning to Rank. 411-418 - Yujin Yuan, Liyuan Liu, Siliang Tang, Zhongfei Zhang, Yueting Zhuang, Shiliang Pu, Fei Wu, Xiang Ren:
Cross-Relation Cross-Bag Attention for Distantly-Supervised Relation Extraction. 419-426 - Qi Zeng, Liangchen Luo, Wenhao Huang, Yang Tang:
Text Assisted Insight Ranking Using Context-Aware Memory Network. 427-434 - Jing Zhang, Bowen Hao, Bo Chen, Cuiping Li, Hong Chen, Jimeng Sun:
Hierarchical Reinforcement Learning for Course Recommendation in MOOCs. 435-442 - Zhirui Zhang, Shuangzhi Wu, Shujie Liu, Mu Li, Ming Zhou, Tong Xu:
Regularizing Neural Machine Translation by Target-Bidirectional Agreement. 443-450 - Yang Zhao, Jiajun Zhang, Chengqing Zong
, Zhongjun He, Hua Wu:
Addressing the Under-Translation Problem from the Entropy Perspective. 451-458 - Yu-Hang Zhou, Chen Liang, Nan Li, Cheng Yang, Shenghuo Zhu, Rong Jin:
Robust Online Matching with User Arrival Distribution Drift. 459-466
AAAI Technical Track: AI for Social Impact
- Sheila Alemany, Jonathan Beltran, Adrián Pérez, Sam Ganzfried:
Predicting Hurricane Trajectories Using a Recurrent Neural Network. 468-475 - Johan Bjorck, Brendan H. Rappazzo, Di Chen, Richard Bernstein, Peter H. Wrege, Carla P. Gomes:
Automatic Detection and Compression for Passive Acoustic Monitoring of the African Forest Elephant. 476-484 - Cen Chen, Kenli Li, Sin G. Teo, Xiaofeng Zou, Kang Wang, Jie Wang, Zeng Zeng:
Gated Residual Recurrent Graph Neural Networks for Traffic Prediction. 485-492 - Di Chen, Carla P. Gomes:
Bias Reduction via End-to-End Shift Learning: Application to Citizen Science. 493-500 - Gianlorenzo D'Angelo, Martin Olsen
, Lorenzo Severini:
Coverage Centrality Maximization in Undirected Networks. 501-508 - Christos Dimitrakakis, Yang Liu, David C. Parkes, Goran Radanovic:
Bayesian Fairness. 509-516 - Wenzheng Feng, Jie Tang, Tracy Xiao Liu:
Understanding Dropouts in MOOCs. 517-524 - Meir Friedenberg, Joseph Y. Halpern:
Blameworthiness in Multi-Agent Settings. 525-532 - Serge Gaspers, Kamran Najeebullah:
Optimal Surveillance of Covert Networks by Minimizing Inverse Geodesic Length. 533-540 - Partha Ghosh, Arpan Losalka, Michael J. Black:
Resisting Adversarial Attacks Using Gaussian Mixture Variational Autoencoders. 541-548 - Paul Gölz
, Ariel D. Procaccia:
Migration as Submodular Optimization. 549-556 - Tomer Golany, Kira Radinsky:
PGANs: Personalized Generative Adversarial Networks for ECG Synthesis to Improve Patient-Specific Deep ECG Classification. 557-564 - Josiah P. Hanna, Guni Sharon, Stephen D. Boyles, Peter Stone:
Selecting Compliant Agents for Opt-in Micro-Tolling. 565-572 - Léo Hemamou, Ghazi Felhi, Vincent Vandenbussche, Jean-Claude Martin, Chloé Clavel:
HireNet: A Hierarchical Attention Model for the Automatic Analysis of Asynchronous Video Job Interviews. 573-581 - Hao Huang, Qian Yan, Ting Gan, Di Niu, Wei Lu, Yunjun Gao:
Learning Diffusions without Timestamps. 582-589 - 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:
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison. 590-597 - Songlei Jian, Liang Hu, Longbing Cao
, Kai Lu, Hang Gao:
Evolutionarily Learning Multi-Aspect Interactions and Influences from Network Structure and Node Content. 598-605 - Muhammad Raza Khan, Joshua E. Blumenstock:
Multi-GCN: Graph Convolutional Networks for Multi-View Networks, with Applications to Global Poverty. 606-613 - Arash Khodadadi, Daniel J. McDonald:
Algorithms for Estimating Trends in Global Temperature Volatility. 614-621 - Amanda R. Kube
, Sanmay Das, Patrick J. Fowler:
Allocating Interventions Based on Predicted Outcomes: A Case Study on Homelessness Services. 622-629 - Sawan Kumar, Varsha Sreenivasan, Partha P. Talukdar, Franco Pestilli
, Devarajan Sridharan
:
ReAl-LiFE: Accelerating the Discovery of Individualized Brain Connectomes on GPUs. 630-638 - Chenchen Li, Xiang Yan, Xiaotie Deng, Yuan Qi, Wei Chu, Le Song, Junlong Qiao, Jianshan He, Junwu Xiong:
Latent Dirichlet Allocation for Internet Price War. 639-646 - Mike Li, Elija Perrier, Chang Xu
:
Deep Hierarchical Graph Convolution for Election Prediction from Geospatial Census Data. 647-654 - Shuailong Liang, Olivia Nicol, Yue Zhang:
Who Blames Whom in a Crisis? Detecting Blame Ties from News Articles Using Neural Networks. 655-662 - Matt Olfat, Anil Aswani:
Convex Formulations for Fair Principal Component Analysis. 663-670 - Victor R. Martinez, Krishna Somandepalli, Karan Singla, Anil Ramakrishna, Yalda T. Uhls, Shrikanth S. Narayanan:
Violence Rating Prediction from Movie Scripts. 671-678 - Bowen Pan
, Shangfei Wang, Qisheng Jiang:
Image Aesthetic Assessment Assisted by Attributes through Adversarial Learning. 679-686 - Hae Won Park, Ishaan Grover, Samuel Spaulding, Louis Gomez
, Cynthia Breazeal:
A Model-Free Affective Reinforcement Learning Approach to Personalization of an Autonomous Social Robot Companion for Early Literacy Education. 687-694 - Hanan Rosemarin, Ariel Rosenfeld, Sarit Kraus
:
Emergency Department Online Patient-Caregiver Scheduling. 695-701 - Tim G. J. Rudner, Marc Rußwurm
, Jakub Fil, Ramona Pelich, Benjamin Bischke, Veronika Kopacková, Piotr Bilinski:
Multi3Net: Segmenting Flooded Buildings via Fusion of Multiresolution, Multisensor, and Multitemporal Satellite Imagery. 702-709 - Tavpritesh Sethi, Anant Mittal, Shubham Maheshwari, Samarth Chugh:
Learning to Address Health Inequality in the United States with a Bayesian Decision Network. 710-717 - Jakub Sliwinski, Martin Strobel, Yair Zick:
Axiomatic Characterization of Data-Driven Influence Measures for Classification. 718-725 - Abby Stylianou, Hong Xuan, Maya Shende, Jonathan Brandt, Richard Souvenir, Robert Pless:
Hotels-50K: A Global Hotel Recognition Dataset. 726-733 - Ruangsak Trakunphutthirak, Yen Cheung, Vincent C. S. Lee:
A Study of Educational Data Mining: Evidence from a Thai University. 734-741 - Chun-Chen Tu, Pai-Shun Ting, Pin-Yu Chen, Sijia Liu, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh, Shin-Ming Cheng:
AutoZOOM: Autoencoder-Based Zeroth Order Optimization Method for Attacking Black-Box Neural Networks. 742-749 - Jill-Jênn Vie, Hisashi Kashima:
Knowledge Tracing Machines: Factorization Machines for Knowledge Tracing. 750-757 - Chaokun Wang, Junchao Zhu:
Forbidden Nodes Aware Community Search. 758-765 - Hao Wang, Chengzhi Mao, Hao He, Mingmin Zhao, Tommi S. Jaakkola, Dina Katabi:
Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling. 766-773 - Fan Wu, Lixia Wu:
DeepETA: A Spatial-Temporal Sequential Neural Network Model for Estimating Time of Arrival in Package Delivery System. 774-781 - Mike Wu, Milan Mosse, Noah D. Goodman, Chris Piech:
Zero Shot Learning for Code Education: Rubric Sampling with Deep Learning Inference. 782-790 - Seunghyun Yoon, Kunwoo Park
, Joongbo Shin, Hongjun Lim, Seungpil Won, Meeyoung Cha, Kyomin Jung:
Detecting Incongruity between News Headline and Body Text via a Deep Hierarchical Encoder. 791-800 - Shuaitao Zhang, Yuliang Liu
, Lianwen Jin, Yaoxiong Huang, Songxuan Lai:
EnsNet: Ensconce Text in the Wild. 801-808 - Rongchang Zhao, Wangmin Liao, Beiji Zou, Zailiang Chen, Shuo Li
:
Weakly-Supervised Simultaneous Evidence Identification and Segmentation for Automated Glaucoma Diagnosis. 809-816 - Sendong Zhao, Ting Liu, Sicheng Zhao, Fei Wang:
A Neural Multi-Task Learning Framework to Jointly Model Medical Named Entity Recognition and Normalization. 817-824 - Ruobing Zheng, Ze Luo, Baoping Yan:
Exploiting Time-Series Image-to-Image Translation to Expand the Range of Wildlife Habitat Analysis. 825-832
AAAI Technical Track: Applications
- Karan Aggarwal, Shafiq R. Joty, Luis Fernández-Luque, Jaideep Srivastava:
Adversarial Unsupervised Representation Learning for Activity Time-Series. 834-841 - Jacob Baldwin, Ryan Burnham, Andrew Meyer, Robert Dora, Robert Wright:
Beyond Speech: Generalizing D-Vectors for Biometric Verification. 842-849 - Gissella Bejarano
, David DeFazio, Arti Ramesh:
Deep Latent Generative Models for Energy Disaggregation. 850-857 - Fiammetta Caccavale, Anders Søgaard:
Predicting Concrete and Abstract Entities in Modern Poetry. 858-864 - Cheng Chen, Qi Dou, Hao Chen
, Jing Qin, Pheng-Ann Heng:
Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation. 865-872 - Lisi Chen, Shuo Shang:
Region-Based Message Exploration over Spatio-Temporal Data Streams. 873-880 - Michael Dann
, Fabio Zambetta
, John Thangarajah:
Deriving Subgoals Autonomously to Accelerate Learning in Sparse Reward Domains. 881-889 - Zulong Diao, Xin Wang
, Dafang Zhang, Yingru Liu, Kun Xie, Shaoyao He:
Dynamic Spatial-Temporal Graph Convolutional Neural Networks for Traffic Forecasting. 890-897 - Wei Feng
, Wentao Liu
, Tong Li, Jing Peng, Chen Qian, Xiaolin Hu:
Turbo Learning Framework for Human-Object Interactions Recognition and Human Pose Estimation. 898-905 - Yanjie Fu, Pengyang Wang, Jiadi Du, Le Wu, Xiaolin Li:
Efficient Region Embedding with Multi-View Spatial Networks: A Perspective of Locality-Constrained Spatial Autocorrelations. 906-913 - Susobhan Ghosh
, Easwar Subramanian, Sanjay P. Bhat, Sujit Gujar, Praveen Paruchuri:
VidyutVanika: A Reinforcement Learning Based Broker Agent for a Power Trading Competition. 914-921 - Shengnan Guo, Youfang Lin, Ning Feng, Chao Song
, Huaiyu Wan
:
Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting. 922-929 - Rahul Gupta, Aditya Kanade, Shirish K. Shevade:
Deep Reinforcement Learning for Syntactic Error Repair in Student Programs. 930-937 - Yu Hao, Xien Liu
, Ji Wu, Ping Lv:
Exploiting Sentence Embedding for Medical Question Answering. 938-945 - Binbin Hu, Zhiqiang Zhang, Chuan Shi, Jun Zhou, Xiaolong Li
, Yuan Qi:
Cash-Out User Detection Based on Attributed Heterogeneous Information Network with a Hierarchical Attention Mechanism. 946-953 - Shiyu Huang, Hang Su, Jun Zhu, Ting Chen:
Combo-Action: Training Agent For FPS Game with Auxiliary Tasks. 954-961 - Steve T. K. Jan, Joseph Messou, Yen-Chen Lin, Jia-Bin Huang, Gang Wang:
Connecting the Digital and Physical World: Improving the Robustness of Adversarial Attacks. 962-969 - Jan Karwowski, Jacek Mandziuk, Adam Zychowski
, Filip Grajek, Bo An:
A Memetic Approach for Sequential Security Games on a Plane with Moving Targets. 970-977 - Hoon Kim, Kangwook Lee, Gyeongjo Hwang, Changho Suh:
Crash to Not Crash: Learn to Identify Dangerous Vehicles Using a Simulator. 978-985 - John Krumm, Eric Horvitz:
Traffic Updates: Saying a Lot While Revealing a Little. 986-995 - Chaozhuo Li, Senzhang Wang, Yukun Wang, Philip S. Yu, Yanbo Liang, Yun Liu, Zhoujun Li
:
Adversarial Learning for Weakly-Supervised Social Network Alignment. 996-1003 - Youru Li
, Zhenfeng Zhu, Deqiang Kong, Meixiang Xu, Yao Zhao:
Learning Heterogeneous Spatial-Temporal Representation for Bike-Sharing Demand Prediction. 1004-1011 - Zhongnian Li, Tao Zhang, Peng Wan, Daoqiang Zhang:
SEGAN: Structure-Enhanced Generative Adversarial Network for Compressed Sensing MRI Reconstruction. 1012-1019 - Ziqian Lin, Jie Feng, Ziyang Lu, Yong Li, Depeng Jin:
DeepSTN+: Context-Aware Spatial-Temporal Neural Network for Crowd Flow Prediction in Metropolis. 1020-1027 - Aishan Liu, Xianglong Liu, Jiaxin Fan, Yuqing Ma, Anlan Zhang
, Huiyuan Xie, Dacheng Tao:
Perceptual-Sensitive GAN for Generating Adversarial Patches. 1028-1035 - Hao Liu, Ting Li, Renjun Hu, Yanjie Fu, Jingjing Gu, Hui Xiong:
Joint Representation Learning for Multi-Modal Transportation Recommendation. 1036-1043 - Xiao Liu, Xiaoting Li, Rupesh Prajapati, Dinghao Wu:
DeepFuzz: Automatic Generation of Syntax Valid C Programs for Fuzz Testing. 1044-1051 - Chengqiang Lu, Qi Liu, Chao Wang, Zhenya Huang, Peize Lin
, Lixin He:
Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective. 1052-1060 - Chien-Yu Lu, Min-Xin Xue, Chia-Che Chang, Che-Rung Lee, Li Su
:
Play as You Like: Timbre-Enhanced Multi-Modal Music Style Transfer. 1061-1068 - Tianle Ma, Aidong Zhang:
AffinityNet: Semi-Supervised Few-Shot Learning for Disease Type Prediction. 1069-1076 - Duncan C. McElfresh, Hoda Bidkhori, John P. Dickerson:
Scalable Robust Kidney Exchange. 1077-1084 - Dong Nie, Li Wang, Lei Xiang, Sihang Zhou
, Ehsan Adeli, Dinggang Shen:
Difficulty-Aware Attention Network with Confidence Learning for Medical Image Segmentation. 1085-1092 - Yuhao Niu, Lin Gu, Feng Lu, Feifan Lv, Zongji Wang, Imari Sato, Zijian Zhang
, Yangyan Xiao, Xunzhang Dai, Tingting Cheng:
Pathological Evidence Exploration in Deep Retinal Image Diagnosis. 1093-1101 - Galia Nordon, Gideon Koren
, Varda Shalev, Benny Kimelfeld, Uri Shalit, Kira Radinsky:
Building Causal Graphs from Medical Literature and Electronic Medical Records. 1102-1109 - Bidisha Samanta, Abir De, Gourhari Jana, Pratim Kumar Chattaraj, Niloy Ganguly, Manuel Gomez Rodriguez:
NeVAE: A Deep Generative Model for Molecular Graphs. 1110-1117 - Patrick Schwab, Walter Karlen
:
PhoneMD: Learning to Diagnose Parkinson's Disease from Smartphone Data. 1118-1125 - Junyuan Shang, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun:
GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination. 1126-1133 - Weiwei Shen, Bin Wang, Jian Pu, Jun Wang:
The Kelly Growth Optimal Portfolio with Ensemble Learning. 1134-1141 - Masamichi Shimosaka, Yuta Hayakawa, Kota Tsubouchi:
Spatiality Preservable Factored Poisson Regression for Large-Scale Fine-Grained GPS-Based Population Analysis. 1142-1149 - Changho Shin, Sunghwan Joo, Jaeryun Yim, Hyoseop Lee, Taesup Moon, Wonjong Rhee:
Subtask Gated Networks for Non-Intrusive Load Monitoring. 1150-1157 - Christopher Solinas, Douglas Rebstock, Michael Buro:
Improving Search with Supervised Learning in Trick-Based Card Games. 1158-1165 - Mingfei Teng, Hengshu Zhu, Chuanren Liu, Chen Zhu, Hui Xiong:
Exploiting the Contagious Effect for Employee Turnover Prediction. 1166-1173 - Bryan Wang, Yi-Hsuan Yang:
PerformanceNet: Score-to-Audio Music Generation with Multi-Band Convolutional Residual Network. 1174-1181 - Di Wang, Jinhui Xu:
Differentially Private Empirical Risk Minimization with Smooth Non-Convex Loss Functions: A Non-Stationary View. 1182-1189 - Ji Wang, Weidong Bao, Lichao Sun
, Xiaomin Zhu, Bokai Cao, Philip S. Yu:
Private Model Compression via Knowledge Distillation. 1190-1197 - Mingliang Wang, Jiashuang Huang, Mingxia Liu
, Daoqiang Zhang:
Functional Connectivity Network Analysis with Discriminative Hub Detection for Brain Disease Identification. 1198-1205 - Bin Wu:
Hierarchical Macro Strategy Model for MOBA Game AI. 1206-1213 - Bingzhe Wu, Xiaolu Zhang, Shiwan Zhao, Lingxi Xie, Caihong Zeng, Zhihong Liu, Guangyu Sun:
G2C: A Generator-to-Classifier Framework Integrating Multi-Stained Visual Cues for Pathological Glomerulus Classification. 1214-1221 - I-Chen Wu
, Ti-Rong Wu, An-Jen Liu, Hung Guei
, Tinghan Wei:
On Strength Adjustment for MCTS-Based Programs. 1222-1229 - Kui Xu, Zhe Wang, Jianping Shi, Hongsheng Li, Qiangfeng Cliff Zhang:
A2-Net: Molecular Structure Estimation from Cryo-EM Density Volumes. 1230-1237 - Shuai Yang
, Jiaying Liu, Wenjing Wang
, Zongming Guo:
TET-GAN: Text Effects Transfer via Stylization and Destylization. 1238-1245 - Kejing Yin
, Dong Qian, William K. Cheung, Benjamin C. M. Fung, Jonathan Poon:
Learning Phenotypes and Dynamic Patient Representations via RNN Regularized Collective Non-Negative Tensor Factorization. 1246-1253 - Chi Zhang, Yixin Zhu, Song-Chun Zhu:
MetaStyle: Three-Way Trade-off among Speed, Flexibility, and Quality in Neural Style Transfer. 1254-1261 - Youzhi Zhang
, Qingyu Guo, Bo An, Long Tran-Thanh, Nicholas R. Jennings:
Optimal Interdiction of Urban Criminals with the Aid of Real-Time Information. 1262-1269 - Ji Zhao, Dan Peng, Chuhan Wu, Huan Chen, Meiyu Yu, Wanji Zheng, Li Ma, Hua Chai, Jieping Ye, Xiaohu Qie:
Incorporating Semantic Similarity with Geographic Correlation for Query-POI Relevance Learning. 1270-1277 - Panpan Zheng, Shuhan Yuan
, Xintao Wu:
SAFE: A Neural Survival Analysis Model for Fraud Early Detection. 1278-1285 - Panpan Zheng, Shuhan Yuan
, Xintao Wu, Jun Li, Aidong Lu:
One-Class Adversarial Nets for Fraud Detection. 1286-1293 - Zefang Zong, Jie Feng, Kechun Liu, Hongzhi Shi, Yong Li:
DeepDPM: Dynamic Population Mapping via Deep Neural Network. 1294-1301
AAAI Technical Track: Cognitive Modeling
- Xiaolin Wu, Xi Zhang
, Xiao Shu:
Cognitive Deficit of Deep Learning in Numerosity. 1303-1310 - Yujie Wu, Lei Deng, Guoqi Li, Jun Zhu, Yuan Xie, Luping Shi:
Direct Training for Spiking Neural Networks: Faster, Larger, Better. 1311-1318 - Lei Zhang, Shengyuan Zhou, Tian Zhi, Zidong Du, Yunji Chen
:
TDSNN: From Deep Neural Networks to Deep Spike Neural Networks with Temporal-Coding. 1319-1326 - Malu Zhang, Jibin Wu, Yansong Chua, Xiaoling Luo, Zihan Pan, Dan Liu, Haizhou Li:
MPD-AL: An Efficient Membrane Potential Driven Aggregate-Label Learning Algorithm for Spiking Neurons. 1327-1334
AAAI Technical Track: Cognitive Systems
- Kezhen Chen, Irina Rabkina, Matthew D. McLure, Kenneth D. Forbus:
Human-Like Sketch Object Recognition via Analogical Learning. 1336-1343 - Qiuyuan Huang, Li Deng, Dapeng Oliver Wu
, Chang Liu, Xiaodong He:
Attentive Tensor Product Learning. 1344-1351 - Matthew Riemer, Tim Klinger, Djallel Bouneffouf, Michele Franceschini:
Scalable Recollections for Continual Lifelong Learning. 1352-1359 - Abhishek Sharma, Keith M. Goolsbey:
Simulation-Based Approach to Efficient Commonsense Reasoning in Very Large Knowledge Bases. 1360-1367 - Di Wang
, Ah-Hwee Tan, Chunyan Miao, Ahmed A. Moustafa:
Modelling Autobiographical Memory Loss across Life Span. 1368-1375
AAAI Technical Track: Computational Sustainability
- Jiaxu Cui, Bo Yang, Xia Hu:
Deep Bayesian Optimization on Attributed Graphs. 1377-1384 - Sijie He, Xinyan Li, Vidyashankar Sivakumar, Arindam Banerjee:
Interpretable Predictive Modeling for Climate Variables with Weighted Lasso. 1385-1392 - Ling Pan, Qingpeng Cai, Zhixuan Fang, Pingzhong Tang, Longbo Huang:
A Deep Reinforcement Learning Framework for Rebalancing Dockless Bike Sharing Systems. 1393-1400 - Yufei Wang, Zheyuan Ryan Shi
, Lantao Yu, Yi Wu, Rohit Singh, Lucas Joppa, Fei Fang:
Deep Reinforcement Learning for Green Security Games with Real-Time Information. 1401-1408 - Chuxu Zhang, Dongjin Song, Yuncong Chen, Xinyang Feng
, Cristian Lumezanu, Wei Cheng, Jingchao Ni, Bo Zong, Haifeng Chen, Nitesh V. Chawla:
A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data. 1409-1416
AAAI Technical Track: Constraint Satisfaction and Optimization
- Sina Aghaei, Mohammad Javad Azizi, Phebe Vayanos:
Learning Optimal and Fair Decision Trees for Non-Discriminative Decision-Making. 1418-1426 - Daniel Anderson, Gregor Hendel, Pierre Le Bodic
, Merlin Viernickel:
Clairvoyant Restarts in Branch-and-Bound Search Using Online Tree-Size Estimation. 1427-1434 - Curtis Bright, Dragomir Z. Ðokovic, Ilias S. Kotsireas, Vijay Ganesh:
A SAT+CAS Approach to Finding Good Matrices: New Examples and Counterexamples. 1435-1442 - Quentin Cappart, Emmanuel Goutierre, David Bergman, Louis-Martin Rousseau:
Improving Optimization Bounds Using Machine Learning: Decision Diagrams Meet Deep Reinforcement Learning. 1443-1451 - Alexander Diedrich, Alexander Maier, Oliver Niggemann:
Model-Based Diagnosis of Hybrid Systems Using Satisfiability Modulo Theory. 1452-1459 - Hu Ding, Mingquan Ye:
On Geometric Alignment in Low Doubling Dimension. 1460-1467 - Aritra Dutta
, Filip Hanzely
, Peter Richtárik
:
A Nonconvex Projection Method for Robust PCA. 1468-1476 - Eduard Eiben, Robert Ganian, Dusan Knop, Sebastian Ordyniak
:
Solving Integer Quadratic Programming via Explicit and Structural Restrictions. 1477-1484 - Takuro Fukunaga, Takuya Konishi, Sumio Fujita, Ken-ichi Kawarabayashi:
Stochastic Submodular Maximization with Performance-Dependent Item Costs. 1485-1494 - Amin Hosseininasab, Willem-Jan van Hoeve, André A. Ciré:
Constraint-Based Sequential Pattern Mining with Decision Diagrams. 1495-1502 - Feihu Huang, Bin Gu, Zhouyuan Huo, Songcan Chen, Heng Huang:
Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization. 1503-1510 - Alexey Ignatiev
, Nina Narodytska, João Marques-Silva:
Abduction-Based Explanations for Machine Learning Models. 1511-1519 - Yoichi Iwata, Takuto Shigemura:
Separator-Based Pruned Dynamic Programming for Steiner Tree. 1520-1527 - Ehsan Kazemi, Liqiang Wang:
Asynchronous Delay-Aware Accelerated Proximal Coordinate Descent for Nonconvex Nonsmooth Problems. 1528-1535 - Jean-Marie Lagniez, Pierre Marquis:
A Recursive Algorithm for Projected Model Counting. 1536-1543 - Liping Li, Wei Xu, Tianyi Chen, Georgios B. Giannakis, Qing Ling:
RSA: Byzantine-Robust Stochastic Aggregation Methods for Distributed Learning from Heterogeneous Datasets. 1544-1551 - Jingchang Liu, Linli Xu, Junliang Guo, Xin Sheng:
Adaptive Proximal Average Based Variance Reducing Stochastic Methods for Optimization with Composite Regularization. 1552-1559 - Shengcai Liu, Ke Tang, Xin Yao:
Automatic Construction of Parallel Portfolios via Explicit Instance Grouping. 1560-1567 - Igor Molybog, Javad Lavaei:
On Sampling Complexity of the Semidefinite Affine Rank Feasibility Problem. 1568-1575 - Jarrid Rector-Brooks, Jun-Kun Wang, Barzan Mozafari:
Revisiting Projection-Free Optimization for Strongly Convex Constraint Sets. 1576-1583 - Christoph Scholl, Jie-Hong Roland Jiang, Ralf Wimmer, Aile Ge-Ernst:
A PSPACE Subclass of Dependency Quantified Boolean Formulas and Its Effective Solving. 1584-1591 - Mate Soos, Kuldeep S. Meel:
BIRD: Engineering an Efficient CNF-XOR SAT Solver and Its Applications to Approximate Model Counting. 1592-1599 - Sabine Storandt, Stefan Funke:
Algorithms for Average Regret Minimization. 1600-1607 - Miguel Terra-Neves, Nuno Machado, Inês Lynce, Vasco Manquinho
:
Concurrency Debugging with MaxSMT. 1608-1616 - Pratibha Vellanki, Santu Rana, Sunil Gupta, David Rubin de Celis Leal, Alessandra Sutti, Murray Height, Svetha Venkatesh:
Bayesian Functional Optimisation with Shape Prior. 1617-1624 - Sicco Verwer, Yingqian Zhang
:
Learning Optimal Classification Trees Using a Binary Linear Program Formulation. 1625-1632 - Pengfei Wang, Risheng Liu, Nenggan Zheng, Zhefeng Gong:
Asynchronous Proximal Stochastic Gradient Algorithm for Composition Optimization Problems. 1633-1640 - Po-Wei Wang, J. Zico Kolter:
Low-Rank Semidefinite Programming for the MAX2SAT Problem. 1641-1649 - Yiyang Wang
, Risheng Liu, Long Ma, Xiaoliang Song:
Task Embedded Coordinate Update: A Realizable Framework for Multivariate Non-Convex Optimization. 1650-1657 - Bryan Wilder, Bistra Dilkina
, Milind Tambe:
Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization. 1658-1665 - Jiacheng Wu, Jian-Xun Wang, Shawn C. Shadden:
Adding Constraints to Bayesian Inverse Problems. 1666-1673 - Qiao Xiang, Haitao Yu, James Aspnes, Franck Le, Linghe Kong
, Yang Richard Yang:
Optimizing in the Dark: Learning an Optimal Solution through a Simple Request Interface. 1674-1681 - Xiaoyong Yuan
, Zheng Feng, Matthew Norton, Xiaolin Li:
Generalized Batch Normalization: Towards Accelerating Deep Neural Networks. 1682-1689
AAAI Technical Track: Game Playing and Interactive Entertainment
- Raluca D. Gaina, Simon M. Lucas, Diego Pérez-Liébana:
Tackling Sparse Rewards in Real-Time Games with Statistical Forward Planning Methods. 1691-1698 - Jakub Kowalski
, Maksymilian Mika, Jakub Sutowicz, Marek Szykula
:
Regular Boardgames. 1699-1706 - Yining Lang, Wei Liang, Yujia Wang, Lap-Fai Yu:
3D Face Synthesis Driven by Personality Impression. 1707-1714 - Juntao Li, Lidong Bing, Lisong Qiu, Dongmin Chen, Dongyan Zhao, Rui Yan:
Learning to Write Stories with Thematic Consistency and Wording Novelty. 1715-1722
AAAI Technical Track: Game Theory and Economic Paradigms
- Colleen Alkalay-Houlihan, Nisarg Shah:
The Pure Price of Anarchy of Pool Block Withholding Attacks in Bitcoin Mining. 1724-1731 - Eshwar Ram Arunachaleswaran, Siddharth Barman, Nidhi Rathi:
Fair Division with a Secretive Agent. 1732-1739 - Haris Aziz
, Péter Biró, Ronald de Haan, Baharak Rastegari:
Pareto Optimal Allocation under Compact Uncertain Preferences. 1740-1747 - Siddharth Barman, Sanath Kumar Krishnamurthy:
On the Proximity of Markets with Integral Equilibria. 1748-1755 - Nathanaël Barrot, Kazunori Ota, Yuko Sakurai, Makoto Yokoo:
Unknown Agents in Friends Oriented Hedonic Games: Stability and Complexity. 1756-1763 - Dorothea Baumeister, Tobias Hogrebe, Lisa Rey:
Generalized Distance Bribery. 1764-1771 - Omer Ben-Porat, Gregory Goren, Itay Rosenberg, Moshe Tennenholtz:
From Recommendation Systems to Facility Location Games. 1772-1779 - Omer Ben-Porat, Itay Rosenberg, Moshe Tennenholtz:
Convergence of Learning Dynamics in Information Retrieval Games. 1780-1787 - Gerdus Benadè, Ariel D. Procaccia, Mingda Qiao:
Low-Distortion Social Welfare Functions. 1788-1795 - Daan Bloembergen, Davide Grossi
, Martin Lackner:
On Rational Delegations in Liquid Democracy. 1796-1803 - Allan Borodin, Omer Lev, Nisarg Shah, Tyrone Strangway:
Primarily about Primaries. 1804-1811 - Simina Brânzei, Aris Filos-Ratsikas
:
Walrasian Dynamics in Multi-Unit Markets. 1812-1819 - Gianluca Brero, Sébastien Lahaie, Sven Seuken:
Fast Iterative Combinatorial Auctions via Bayesian Learning. 1820-1828 - Noam Brown, Tuomas Sandholm:
Solving Imperfect-Information Games via Discounted Regret Minimization. 1829-1836 - Sofia Ceppi, Ian A. Kash, Rafael M. Frongillo:
Partial Verification as a Substitute for Money. 1837-1844 - Yiling Chen, Yang Liu, Juntao Wang
:
Randomized Wagering Mechanisms. 1845-1852 - Vincent Conitzer, Rupert Freeman, Nisarg Shah, Jennifer Wortman Vaughan:
Group Fairness for the Allocation of Indivisible Goods. 1853-1860 - Trevor Davis, Kevin Waugh, Michael Bowling:
Solving Large Extensive-Form Games with Strategy Constraints. 1861-1868 - Ilias Diakonikolas, Chrystalla Pavlou:
On the Complexity of the Inverse Semivalue Problem for Weighted Voting Games. 1869-1876 - John P. Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Pan Xu:
Balancing Relevance and Diversity in Online Bipartite Matching via Submodularity. 1877-1884 - Hossein Esfandiari, Mohammad Taghi Hajiaghayi, Brendan Lucier, Michael Mitzenmacher:
Online Pandora's Boxes and Bandits. 1885-1892 - Brandon Fain, Ashish Goel, Kamesh Munagala, Nina Prabhu:
Random Dictators with a Random Referee: Constant Sample Complexity Mechanisms for Social Choice. 1893-1900 - Piotr Faliszewski, Pasin Manurangsi, Krzysztof Sornat
:
Approximation and Hardness of Shift-Bribery. 1901-1908 - Piotr Faliszewski, Piotr Skowron, Arkadii Slinko, Stanislaw Szufa, Nimrod Talmon:
How Similar Are Two Elections? 1909-1916 - Gabriele Farina, Christian Kroer, Tuomas Sandholm:
Online Convex Optimization for Sequential Decision Processes and Extensive-Form Games. 1917-1925 - Michail Fasoulakis, Evangelos Markakis:
An Improved Quasi-Polynomial Algorithm for Approximate Well-Supported Nash Equilibria. 1926-1932 - Zack Fitzsimmons, Edith Hemaspaandra, Alexander Hoover, David E. Narváez:
Very Hard Electoral Control Problems. 1933-1940 - Till Fluschnik, Piotr Skowron, Mervin Triphaus, Kai Wilker:
Fair Knapsack. 1941-1948 - Dimitris Fotakis, Kyriakos Lotidis, Chara Podimata:
A Bridge between Liquid and Social Welfare in Combinatorial Auctions with Submodular Bidders. 1949-1956 - Rupert Freeman, David M. Pennock, Jennifer Wortman Vaughan:
An Equivalence between Wagering and Fair-Division Mechanisms. 1957-1964 - Eric J. Friedman, Vasilis Gkatzelis
, Christos-Alexandros Psomas, Scott Shenker:
Fair and Efficient Memory Sharing: Confronting Free Riders. 1965-1972 - Matthias Gerstgrasser, Paul W. Goldberg
, Bart de Keijzer, Philip Lazos, Alexander Skopalik:
Multi-Unit Bilateral Trade. 1973-1980 - Mohammad Ghodsi, Mohamad Latifian, Masoud Seddighin:
On the Distortion Value of the Elections with Abstention. 1981-1988 - Gagan Goel, Vahab S. Mirrokni, Renato Paes Leme:
Pareto Efficient Auctions with Interest Rates. 1989-1995 - Naman Goel, Boi Faltings:
Deep Bayesian Trust: A Dominant and Fair Incentive Mechanism for Crowd. 1996-2003 - Sreenivas Gollapudi, Kostas Kollias, Debmalya Panigrahi:
You Get What You Share: Incentives for a Sharing Economy. 2004-2011 - Joachim Gudmundsson, Sampson Wong:
Computing the Yolk in Spatial Voting Games without Computing Median Lines. 2012-2019 - Qingyu Guo, Jiarui Gan, Fei Fang, Long Tran-Thanh, Milind Tambe, Bo An:
On the Inducibility of Stackelberg Equilibrium for Security Games. 2020-2028 - Karel Horák, Branislav Bosanský:
Solving Partially Observable Stochastic Games with Public Observations. 2029-2036 - Sen Huang, Mingyu Xiao:
Object Reachability via Swaps along a Line. 2037-2044 - Ayumi Igarashi, Dominik Peters:
Pareto-Optimal Allocation of Indivisible Goods with Connectivity Constraints. 2045-2052 - Ayumi Igarashi, Jakub Sliwinski, Yair Zick:
Forming Probably Stable Communities with Limited Interactions. 2053-2060 - Batya Kenig, Benny Kimelfeld:
Approximate Inference of Outcomes in Probabilistic Elections. 2061-2068 - Omer Lev, Yoad Lewenberg:
"Reverse Gerrymandering": Manipulation in Multi-Group Decision Making. 2069-2076 - Omer Lev, Reshef Meir, Svetlana Obraztsova, Maria Polukarov:
Heuristic Voting as Ordinal Dominance Strategies. 2077-2084 - Kai Li, Dong Hao:
Cooperation Enforcement and Collusion Resistance in Repeated Public Goods Games. 2085-2092 - Zhuoshu Li, Sanmay Das:
Revenue Enhancement via Asymmetric Signaling in Interdependent-Value Auctions. 2093-2100 - Ilan Lobel, Renato Paes Leme:
Dynamic Contracting under Positive Commitment. 2101-2108 - Pasin Manurangsi, Warut Suksompong:
When Do Envy-Free Allocations Exist? 2109-2116 - Alberto Marchesi, Gabriele Farina, Christian Kroer, Nicola Gatti, Tuomas Sandholm:
Quasi-Perfect Stackelberg Equilibrium. 2117-2124 - Vahab S. Mirrokni, Renato Paes Leme, Pingzhong Tang, Song Zuo:
Optimal Dynamic Auctions Are Virtual Welfare Maximizers. 2125-2132 - Thanh Hong Nguyen, Yongzhao Wang, Arunesh Sinha, Michael P. Wellman:
Deception in Finitely Repeated Security Games. 2133-2140 - Hoon Oh, Ariel D. Procaccia, Warut Suksompong:
Fairly Allocating Many Goods with Few Queries. 2141-2148 - Binghui Peng, Weiran Shen, Pingzhong Tang, Song Zuo:
Learning Optimal Strategies to Commit To. 2149-2156 - Martin Schmid, Neil Burch, Marc Lanctot, Matej Moravcik, Rudolf Kadlec, Michael Bowling:
Variance Reduction in Monte Carlo Counterfactual Regret Minimization (VR-MCCFR) for Extensive Form Games Using Baselines. 2157-2164 - Sujoy Sikdar, Sibel Adali, Lirong Xia:
Mechanism Design for Multi-Type Housing Markets with Acceptable Bundles. 2165-2172 - Samuel Sokota, Caleb Ho, Bryce Wiedenbeck:
Learning Deviation Payoffs in Simulation-Based Games. 2173-2180 - Nimrod Talmon, Piotr Faliszewski:
A Framework for Approval-Based Budgeting Methods. 2181-2188 - Jun Wang, Sujoy Sikdar, Tyler Shepherd, Zhibing Zhao, Chunheng Jiang, Lirong Xia:
Practical Algorithms for Multi-Stage Voting Rules with Parallel Universes Tiebreaking. 2189-2196 - Tomasz Was, Talal Rahwan, Oskar Skibski:
Random Walk Decay Centrality. 2197-2204 - Anaëlle Wilczynski
:
Poll-Confident Voters in Iterative Voting. 2205-2212 - Bryan Wilder, Yevgeniy Vorobeychik:
Defending Elections against Malicious Spread of Misinformation. 2213-2220 - Pan Xu, Yexuan Shi
, Hao Cheng, John P. Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Yongxin Tong, Leonidas Tsepenekas:
A Unified Approach to Online Matching with Conflict-Aware Constraints. 2221-2228 - Hanrui Zhang, Yu Cheng, Vincent Conitzer:
A Better Algorithm for Societal Tradeoffs. 2229-2236 - Hanrui Zhang, Vincent Conitzer:
A PAC Framework for Aggregating Agents' Judgments. 2237-2244 - Boming Zhao
, Pan Xu, Yexuan Shi
, Yongxin Tong, Zimu Zhou, Yuxiang Zeng:
Preference-Aware Task Assignment in On-Demand Taxi Dispatching: An Online Stable Matching Approach. 2245-2252 - Tianhang Zheng
, Changyou Chen, Kui Ren:
Distributionally Adversarial Attack. 2253-2260
AAAI Technical Track: Heuristic Search and Optimization
- Junwen Ding, Zhipeng Lü, Chu-Min Li, Liji Shen, Liping Xu, Fred W. Glover:
A Two-Individual Based Evolutionary Algorithm for the Flexible Job Shop Scheduling Problem. 2262-2271 - Tobias Friedrich, Andreas Göbel, Frank Neumann, Francesco Quinzan, Ralf Rothenberger
:
Greedy Maximization of Functions with Bounded Curvature under Partition Matroid Constraints. 2272-2279 - Baokun He, Swair Shah, Crystal Maung, Gordon Arnold, Guihong Wan, Haim Schweitzer:
Heuristic Search Algorithm for Dimensionality Reduction Optimally Combining Feature Selection and Feature Extraction. 2280-2287 - Robert C. Holte, Sandra Zilles:
On the Optimal Efficiency of Cost-Algebraic A. 2288-2295 - Zhengxin Huang, Yuren Zhou, Zefeng Chen, Xiaoyu He:
Running Time Analysis of MOEA/D with Crossover on Discrete Optimization Problem. 2296-2303 - Ken Kobayashi, Naoki Hamada, Akiyoshi Sannai, Akinori Tanaka, Kenichi Bannai
, Masashi Sugiyama:
Bézier Simplex Fitting: Describing Pareto Fronts of Simplicial Problems with Small Samples in Multi-Objective Optimization. 2304-2313 - Juho Lauri, Sourav Dutta:
Fine-Grained Search Space Classification for Hard Enumeration Variants of Subset Problems. 2314-2321 - Andrei Lissovoi, Pietro S. Oliveto, John Alasdair Warwicker:
On the Time Complexity of Algorithm Selection Hyper-Heuristics for Multimodal Optimisation. 2322-2329 - Julian R. H. Mariño, Rubens O. Moraes, Cláudio Toledo, Levi H. S. Lelis:
Evolving Action Abstractions for Real-Time Planning in Extensive-Form Games. 2330-2337 - Andrew Mitchell, Wheeler Ruml, Fabian Spaniol, Jörg Hoffmann, Marek Petrik:
Real-Time Planning as Decision-Making under Uncertainty. 2338-2345 - Frank Neumann, Andrew M. Sutton:
Evolving Solutions to Community-Structured Satisfiability Formulas. 2346-2353 - Vahid Roostapour, Aneta Neumann
, Frank Neumann, Tobias Friedrich:
Pareto Optimization for Subset Selection with Dynamic Cost Constraints. 2354-2361 - Christopher D. Rosin:
Stepping Stones to Inductive Synthesis of Low-Level Looping Programs. 2362-2370 - Shahaf S. Shperberg, Andrew Coles, Bence Cserna, Erez Karpas, Wheeler Ruml, Solomon Eyal Shimony:
Allocating Planning Effort When Actions Expire. 2371-2378 - Shahaf S. Shperberg, Ariel Felner, Nathan R. Sturtevant, Solomon Eyal Shimony, Avi Hayoun
:
Enriching Non-Parametric Bidirectional Search Algorithms. 2379-2386 - Markus Spies, Marco Todescato
, Hannes Becker, Patrick Kesper, Nicolai Waniek, Meng Guo:
Bounded Suboptimal Search with Learned Heuristics for Multi-Agent Systems. 2387-2394 - Thomas Weise, Zijun Wu, Markus Wagner
:
An Improved Generic Bet-and-Run Strategy with Performance Prediction for Stochastic Local Search. 2395-2402 - Aimin Zhou
, Jinyuan Zhang, Jianyong Sun, Guixu Zhang:
Fuzzy-Classification Assisted Solution Preselection in Evolutionary Optimization. 2403-2410
AAAI Technical Track: Human-AI Collaboration
- Tameem Adel, Isabel Valera
, Zoubin Ghahramani, Adrian Weller:
One-Network Adversarial Fairness. 2412-2420 - Shani Alkoby
, Zihe Wang, David Sarne, Pingzhong Tang:
Making Money from What You Know - How to Sell Information? 2421-2428 - Gagan Bansal, Besmira Nushi, Ece Kamar, Daniel S. Weld, Walter S. Lasecki, Eric Horvitz:
Updates in Human-AI Teams: Understanding and Addressing the Performance/Compatibility Tradeoff. 2429-2437 - Alvaro H. C. Correia
, Freddy Lécué:
Human-in-the-Loop Feature Selection. 2438-2445 - Gil Einziger, Maayan Goldstein, Yaniv Sa'ar, Itai Segall:
Verifying Robustness of Gradient Boosted Models. 2446-2453 - Andrew Forney, Elias Bareinboim:
Counterfactual Randomization: Rescuing Experimental Studies from Obscured Confounding. 2454-2461 - Vinicius G. Goecks, Gregory M. Gremillion, Vernon J. Lawhern, John Valasek, Nicholas R. Waytowich:
Efficiently Combining Human Demonstrations and Interventions for Safe Training of Autonomous Systems in Real-Time. 2462-2470 - Mingxuan Jing, Xiaojian Ma, Wen-bing Huang, Fuchun Sun, Huaping Liu:
Task Transfer by Preference-Based Cost Learning. 2471-2478 - Anagha Kulkarni, Siddharth Srivastava, Subbarao Kambhampati:
A Unified Framework for Planning in Adversarial and Cooperative Environments. 2479-2487 - Dongze Lian, Ziheng Zhang, Weixin Luo, Lina Hu, Minye Wu, Zechao Li, Jingyi Yu, Shenghua Gao:
RGBD Based Gaze Estimation via Multi-Task CNN. 2488-2495 - Yuzuru Okajima, Kunihiko Sadamasa:
Deep Neural Networks Constrained by Decision Rules. 2496-2505 - Linsen Song, Jie Cao, Lingxiao Song, Yibo Hu, Ran He:
Geometry-Aware Face Completion and Editing. 2506-2513 - Nicholay Topin, Manuela Veloso:
Generation of Policy-Level Explanations for Reinforcement Learning. 2514-2521 - Vaibhav V. Unhelkar
, Julie A. Shah:
Learning Models of Sequential Decision-Making with Partial Specification of Agent Behavior. 2522-2530 - Loïs Vanhée, Laurent Jeanpierre, Abdel-Illah Mouaddib:
Augmenting Markov Decision Processes with Advising. 2531-2538 - Sandareka Wickramanayake, Wynne Hsu, Mong-Li Lee:
FLEX: Faithful Linguistic Explanations for Neural Net Based Model Decisions. 2539-2546 - Ziyu Yao, Xiujun Li, Jianfeng Gao, Brian M. Sadler
, Huan Sun:
Interactive Semantic Parsing for If-Then Recipes via Hierarchical Reinforcement Learning. 2547-2554
AAAI Technical Track: Humans and AI
- Abhay M. S. Aradhya, Aditya Joglekar, Suresh Sundaram, Mahardhika Pratama:
Deep Transformation Method for Discriminant Analysis of Multi-Channel Resting State fMRI. 2556-2563 - Nan Cao, Xin Yan, Yang Shi, Chaoran Chen:
AI-Sketcher : A Deep Generative Model for Producing High-Quality Sketches. 2564-2571 - Lin Chen
, Lei Xu, Shouhuai Xu, Zhimin Gao, Weidong Shi:
Election with Bribed Voter Uncertainty: Hardness and Approximation Algorithm. 2572-2579 - Xiao Guo, Jongmoo Choi:
Human Motion Prediction via Learning Local Structure Representations and Temporal Dependencies. 2580-2587 - Yaman Kumar, Rohit Jain, Khwaja Mohd. Salik, Rajiv Ratn Shah, Yifang Yin
, Roger Zimmermann:
Lipper: Synthesizing Thy Speech Using Multi-View Lipreading. 2588-2595 - Keting Lu, Shiqi Zhang, Xiaoping Chen:
Goal-Oriented Dialogue Policy Learning from Failures. 2596-2603 - Rafael R. Padovani, Lucas N. Ferreira, Levi H. S. Lelis:
Be Inaccurate but Don't Be Indecisive: How Error Distribution Can Affect User Experience. 2604-2611 - Hermann Schichl, Meinolf Sellmann:
Consensual Affine Transformations for Partial Valuation Aggregation. 2612-2619 - Sicheng Zhao, Chuang Lin
, Pengfei Xu, Sendong Zhao, Yuchen Guo, Ravi Krishna, Guiguang Ding, Kurt Keutzer:
CycleEmotionGAN: Emotional Semantic Consistency Preserved CycleGAN for Adapting Image Emotions. 2620-2627
AAAI Technical Track: Human-Computation and Crowd Sourcing
- Yan Zhao, Jinfu Xia, Guanfeng Liu
, Han Su, Defu Lian, Shuo Shang, Kai Zheng:
Preference-Aware Task Assignment in Spatial Crowdsourcing. 2629-2636
AAAI Technical Track: Knowledge Representation and Reasoning
- Erman Acar, Massimo Benerecetti, Fabio Mogavero
:
Satisfiability in Strategy Logic Can Be Easier than Model Checking. 2638-2645 - Natasha Alechina, Tomás Brázdil, Giuseppe De Giacomo, Paolo Felli, Brian Logan, Moshe Y. Vardi:
Unbounded Orchestrations of Transducers for Manufacturing. 2646-2653 - Medina Andresel, Yazmín Ibáñez-García, Magdalena Ortiz, Mantas Simkus
:
Relaxing and Restraining Queries for OBDA. 2654-2661 - Alexander Bagnall, Gordon Stewart:
Certifying the True Error: Machine Learning in Coq with Verified Generalization Guarantees. 2662-2669 - Ringo Baumann, Gerhard Brewka:
Extension Removal in Abstract Argumentation - An Axiomatic Approach. 2670-2677 - Sander Beckers
, Joseph Y. Halpern:
Abstracting Causal Models. 2678-2685 - Bart Bogaerts
:
Weighted Abstract Dialectical Frameworks through the Lens of Approximation Fixpoint Theory. 2686-2693 - Jori Bomanson, Tomi Janhunen, Antonius Weinzierl:
Enhancing Lazy Grounding with Lazy Normalization in Answer-Set Programming. 2694-2702 - Blai Bonet, Guillem Francès, Hector Geffner:
Learning Features and Abstract Actions for Computing Generalized Plans. 2703-2710 - Stefan Borgwardt, Ismail Ilkan Ceylan, Thomas Lukasiewicz:
Ontology-Mediated Query Answering over Log-Linear Probabilistic Data. 2711-2718 - Camille Bourgaux
, Ana Ozaki:
Querying Attributed DL-Lite Ontologies Using Provenance Semirings. 2719-2726 - Andreas Bunte
, Benno Stein, Oliver Niggemann:
Model-Based Diagnosis for Cyber-Physical Production Systems Based on Machine Learning and Residual-Based Diagnosis Models. 2727-2735 - David Carral, Larry González, Patrick Koopmann
:
From Horn-SRIQ to Datalog: A Data-Independent Transformation That Preserves Assertion Entailment. 2736-2743 - Juan D. Correa, Jin Tian, Elias Bareinboim:
Identification of Causal Effects in the Presence of Selection Bias. 2744-2751 - Kristijonas Cyras, Dimitrios Letsios
, Ruth Misener
, Francesca Toni:
Argumentation for Explainable Scheduling. 2752-2759 - Daniel de Leng, Fredrik Heintz:
Approximate Stream Reasoning with Metric Temporal Logic under Uncertainty. 2760-2767 - Warren Del-Pinto, Renate A. Schmidt:
ABox Abduction via Forgetting in ALC. 2768-2775 - Heshan Du, Natasha Alechina
:
Qualitative Spatial Logic over 2D Euclidean Spaces Is Not Finitely Axiomatisable. 2776-2783 - Jianfeng Du, Jeff Z. Pan, Sylvia Wang, Kunxun Qi, Yuming Shen, Yu Deng:
Validation of Growing Knowledge Graphs by Abductive Text Evidences. 2784-2791 - Phan Minh Dung, Phan Minh Thang, Tran Cao Son:
On Structured Argumentation with Conditional Preferences. 2792-2800 - Wolfgang Dvorák, Stefan Woltran:
Complexity of Abstract Argumentation under a Claim-Centric View. 2801-2808 - Wolfgang Faber, Michael Morak, Stefan Woltran:
Strong Equivalence for Epistemic Logic Programs Made Easy. 2809-2816 - Liangda Fang, Kewen Wang
, Zhe Wang, Ximing Wen:
Disjunctive Normal Form for Multi-Agent Modal Logics Based on Logical Separability. 2817-2826 - Johannes Klaus Fichte, Markus Hecher
, Arne Meier:
Counting Complexity for Reasoning in Abstract Argumentation. 2827-2834 - Tian Gao, Jie Chen, Vijil Chenthamarakshan, Michael Witbrock:
A Sequential Set Generation Method for Predicting Set-Valued Outputs. 2835-2842 - Ricardo Gonçalves
, Tomi Janhunen, Matthias Knorr
, João Leite
, Stefan Woltran:
Forgetting in Modular Answer Set Programming. 2843-2850 - Joseph Y. Halpern, Evan Piermont:
Partial Awareness. 2851-2858 - Pan Hu
, Boris Motik, Ian Horrocks:
Modular Materialisation of Datalog Programs. 2859-2866 - Xuanxiang Huang, Kehang Fang, Liangda Fang, Qingliang Chen, Zhao-Rong Lai, Linfeng Wei:
Bi-Kronecker Functional Decision Diagrams: A Novel Canonical Representation of Boolean Functions. 2867-2875 - Saravanan Kandasamy, Arnab Bhattacharyya, Vasant G. Honavar:
Minimum Intervention Cover of a Causal Graph. 2876-2885 - Phokion G. Kolaitis, Lucian Popa, Kun Qian:
Knowledge Refinement via Rule Selection. 2886-2894 - Fanshuang Kong, Richong Zhang, Yongyi Mao, Ting Deng
:
LENA: Locality-Expanded Neural Embedding for Knowledge Base Completion. 2895-2902 - Patrick Koopmann:
Ontology-Based Query Answering for Probabilistic Temporal Data. 2903-2910 - Nikhil Krishnaswamy, Scott Friedman, James Pustejovsky:
Combining Deep Learning and Qualitative Spatial Reasoning to Learn Complex Structures from Sparse Examples with Noise. 2911-2918 - Mark Law, Alessandra Russo, Elisa Bertino, Krysia Broda, Jorge Lobo:
Representing and Learning Grammars in Answer Set Programming. 2919-2928 - Tiep Le, Tran Cao Son, Enrico Pontelli:
Multi-Context System for Optimization Problems. 2929-2937 - Tuomo Lehtonen
, Johannes Peter Wallner, Matti Järvisalo:
Reasoning over Assumption-Based Argumentation Frameworks via Direct Answer Set Programming Encodings. 2938-2945 - Jianwen Li, Kristin Y. Rozier, Geguang Pu, Yueling Zhang, Moshe Y. Vardi:
SAT-Based Explicit LTLf Satisfiability Checking. 2946-2953 - Zi Lin, Yang Liu:
Implanting Rational Knowledge into Distributed Representation at Morpheme Level. 2954-2961 - Thomas Lukasiewicz, Enrico Malizia
, Andrius Vaicenavicius:
Complexity of Inconsistency-Tolerant Query Answering in Datalog+/- under Cardinality-Based Repairs. 2962-2969 - Daoming Lyu
, Fangkai Yang, Bo Liu, Steven Gustafson:
SDRL: Interpretable and Data-Efficient Deep Reinforcement Learning Leveraging Symbolic Planning. 2970-2977 - Ke Ma, Qianqian Xu, Zhiyong Yang, Xiaochun Cao:
Less but Better: Generalization Enhancement of Ordinal Embedding via Distributional Margin. 2978-2985 - Takanori Maehara, Yuma Inoue:
Group Decision Diagram (GDD): A Compact Representation for Permutations. 2986-2994 - Stephanie McIntyre, Alexander Borgida, David Toman, Grant E. Weddell:
On Limited Conjunctions and Partial Features in Parameter-Tractable Feature Logics. 2995-3002 - Arindam Mitra, Peter Clark, Oyvind Tafjord, Chitta Baral:
Declarative Question Answering over Knowledge Bases Containing Natural Language Text with Answer Set Programming. 3003-3010 - Pavel Naumov
, Jia Tao:
Blameworthiness in Strategic Games. 3011-3018 - Jandson S. Ribeiro
, Abhaya Nayak
, Renata Wassermann
:
Belief Change and Non-Monotonic Reasoning Sans Compactness. 3019-3026 - Maarten Sap, Ronan Le Bras, Emily Allaway, Chandra Bhagavatula, Nicholas Lourie, Hannah Rashkin, Brendan Roof, Noah A. Smith, Yejin Choi:
ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning. 3027-3035 - Md. Kamruzzaman Sarker
, Pascal Hitzler:
Efficient Concept Induction for Description Logics. 3036-3043 - Haseeb Shah
, Johannes Villmow, Adrian Ulges, Ulrich Schwanecke, Faisal Shafait:
An Open-World Extension to Knowledge Graph Completion Models. 3044-3051 - Farhad Shakerin, Gopal Gupta:
Induction of Non-Monotonic Logic Programs to Explain Boosted Tree Models Using LIME. 3052-3059 - Chao Shang, Yun Tang
, Jing Huang, Jinbo Bi, Xiaodong He, Bowen Zhou:
End-to-End Structure-Aware Convolutional Networks for Knowledge Base Completion. 3060-3067 - Chengchao Shen, Xinchao Wang
, Jie Song, Li Sun, Mingli Song:
Amalgamating Knowledge towards Comprehensive Classification. 3068-3075 - Marlo Souza, Álvaro F. Moreira, Renata Vieira:
Iterated Belief Base Revision: A Dynamic Epistemic Logic Approach. 3076-3083 - Roni Stern, Brendan Juba:
Safe Partial Diagnosis from Normal Observations. 3084-3091 - Przemyslaw Andrzej Walega, Mark Kaminski, Bernardo Cuenca Grau:
Reasoning over Streaming Data in Metric Temporal Datalog. 3092-3099 - Jun Yuan, Neng Gao, Ji Xiang:
TransGate: Knowledge Graph Embedding with Shared Gate Structure. 3100-3107 - Hao Zhang, Shuigeng Zhou, Chuanxu Yan, Jihong Guan, Xin Wang:
Recursively Learning Causal Structures Using Regression-Based Conditional Independence Test. 3108-3115 - Yizheng Zhao, Ghadah Alghamdi
, Renate A. Schmidt, Hao Feng, Giorgos Stoilos, Damir Juric, Mohammad Khodadadi:
Tracking Logical Difference in Large-Scale Ontologies: A Forgetting-Based Approach. 3116-3124 - Zili Zhou, Shaowu Liu
, Guandong Xu, Wu Zhang:
On Completing Sparse Knowledge Base with Transitive Relation Embedding. 3125-3132
AAAI Technical Track: Machine Learning
- David Abel, Dilip Arumugam, Kavosh Asadi, Yuu Jinnai
, Michael L. Littman, Lawson L. S. Wong:
State Abstraction as Compression in Apprenticeship Learning. 3134-3142 - Karim T. Abou-Moustafa, Csaba Szepesvári:
An Exponential Tail Bound for the Deleted Estimate. 3143-3150 - Arpit Agarwal, Katharina Muelling, Katerina Fragkiadaki:
Model Learning for Look-Ahead Exploration in Continuous Control. 3151-3158 - Rami Al-Rfou, Dokook Choe, Noah Constant, Mandy Guo, Llion Jones:
Character-Level Language Modeling with Deeper Self-Attention. 3159-3166 - Scott Alfeld, Ara Vartanian, Lucas Newman-Johnson, Benjamin I. P. Rubinstein:
Attacking Data Transforming Learners at Training Time. 3167-3174 - Abdul Fatir Ansari, Harold Soh:
Hyperprior Induced Unsupervised Disentanglement of Latent Representations. 3175-3182 - Chidubem Arachie, Bert Huang:
Adversarial Label Learning. 3183-3190 - Mohammadreza Armandpour, Patrick Ding, Jianhua Z. Huang, Xia Hu:
Robust Negative Sampling for Network Embedding. 3191-3198 - Kyohei Atarashi, Subhransu Maji, Satoshi Oyama:
Random Feature Maps for the Itemset Kernel. 3199-3206 - Georgia Avarikioti, Alain Ryser, Yuyi Wang, Roger Wattenhofer:
High Dimensional Clustering with r-nets. 3207-3214 - Wissam J. Baddar, Yong Man Ro:
Mode Variational LSTM Robust to Unseen Modes of Variation: Application to Facial Expression Recognition. 3215-3223 - Christopher Bartley, Wei Liu
, Mark Reynolds
:
Enhanced Random Forest Algorithms for Partially Monotone Ordinal Classification. 3224-3231 - Ege Beyazit, Jeevithan Alagurajah, Xindong Wu:
Online Learning from Data Streams with Varying Feature Spaces. 3232-3239 - Akhilan Boopathy, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel:
CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural Networks. 3240-3247 - Cory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos, André L. Teixeira:
Deep Convolutional Sum-Product Networks. 3248-3255 - Xu Cai, Yang Wu, Guanbin Li, Ziliang Chen, Liang Lin:
FRAME Revisited: An Interpretation View Based on Particle Evolution. 3256-3263 - Junyu Cao, Wei Sun:
Dynamic Learning of Sequential Choice Bandit Problem under Marketing Fatigue. 3264-3271 - Miriam Cha, Youngjune L. Gwon, H. T. Kung:
Adversarial Learning of Semantic Relevance in Text to Image Synthesis. 3272-3279 - Sarath Chandar, Chinnadhurai Sankar, Eugene Vorontsov, Samira Ebrahimi Kahou, Yoshua Bengio:
Towards Non-Saturating Recurrent Units for Modelling Long-Term Dependencies. 3280-3287 - Xiaobin Chang, Yongxin Yang, Tao Xiang, Timothy M. Hospedales:
Disjoint Label Space Transfer Learning with Common Factorised Space. 3288-3295 - Chao Chen, Zhihong Chen, Boyuan Jiang, Xinyu Jin:
Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation. 3296-3303 - Chen Chen, Haobo Wang
, Weiwei Liu, Xingyuan Zhao, Tianlei Hu, Gang Chen:
Two-Stage Label Embedding via Neural Factorization Machine for Multi-Label Classification. 3304-3311 - Haokun Chen, Xinyi Dai, Han Cai, Weinan Zhang, Xuejian Wang, Ruiming Tang, Yuzhou Zhang, Yong Yu:
Large-Scale Interactive Recommendation with Tree-Structured Policy Gradient. 3312-3320 - Kaixuan Chen
, Lina Yao, Dalin Zhang
, Xiaojun Chang
, Guodong Long, Sen Wang
:
Distributionally Robust Semi-Supervised Learning for People-Centric Sensing. 3321-3328 - Shangyu Chen, Wenya Wang
, Sinno Jialin Pan:
Deep Neural Network Quantization via Layer-Wise Optimization Using Limited Training Data. 3329-3336 - Sheng-Wei Chen, Chun-Nan Chou, Edward Y. Chang:
EA-CG: An Approximate Second-Order Method for Training Fully-Connected Neural Networks. 3337-3346 - Shuo Chen, Chen Gong, Jian Yang, Ying Tai, Le Hui, Jun Li:
Data-Adaptive Metric Learning with Scale Alignment. 3347-3354 - Weijie Chen, Yuan Zhang, Di Xie, Shiliang Pu:
A Layer Decomposition-Recomposition Framework for Neuron Pruning towards Accurate Lightweight Networks. 3355-3362 - Xuelu Chen, Muhao Chen, Weijia Shi, Yizhou Sun, Carlo Zaniolo:
Embedding Uncertain Knowledge Graphs. 3363-3370 - Zitai Chen
, Chuan Chen, Zibin Zheng, Yi Zhu:
Tensor Decomposition for Multilayer Networks Clustering. 3371-3378 - Zitian Chen, Yanwei Fu, Kaiyu Chen, Yu-Gang Jiang:
Image Block Augmentation for One-Shot Learning. 3379-3386 - Richard Cheng, Gábor Orosz, Richard M. Murray, Joel W. Burdick:
End-to-End Safe Reinforcement Learning through Barrier Functions for Safety-Critical Continuous Control Tasks. 3387-3395 - Daeyoung Choi, Wonjong Rhee:
Utilizing Class Information for Deep Network Representation Shaping. 3396-3403 - Andrew Cohen, Xingye Qiao
, Lei Yu, Elliot Way, Xiangrong Tong:
Diverse Exploration via Conjugate Policies for Policy Gradient Methods. 3404-3411 - Eric Crawford, Joelle Pineau:
Spatially Invariant Unsupervised Object Detection with Convolutional Neural Networks. 3412-3420 - Giovanni Da San Martino, Alessandro Sperduti, Fabio Aiolli, Alessandro Moschitti:
Efficient Online Learning for Mapping Kernels on Linguistic Structures. 3421-3428 - Songmin Dai, Xiaoqiang Li, Lu Wang, Pin Wu, Weiqin Tong, Yimin Chen:
Learning Segmentation Masks with the Independence Prior. 3429-3436 - Sumanth Dathathri, Sicun Gao, Richard M. Murray:
Inverse Abstraction of Neural Networks Using Symbolic Interpolation. 3437-3444 - Maria Dimakopoulou, Zhengyuan Zhou, Susan Athey, Guido Imbens:
Balanced Linear Contextual Bandits. 3445-3453 - Lizhong Ding, Zhi Liu, Yu Li, Shizhong Liao, Yong Liu, Peng Yang, Ge Yu, Ling Shao, Xin Gao:
Linear Kernel Tests via Empirical Likelihood for High-Dimensional Data. 3454-3461 - Lizhong Ding, Yong Liu, Shizhong Liao, Yu Li, Peng Yang, Yijie Pan, Chao Huang, Ling Shao, Xin Gao:
Approximate Kernel Selection with Strong Approximate Consistency. 3462-3469 - Thang Doan, João Monteiro, Isabela Albuquerque, Bogdan Mazoure, Audrey Durand, Joelle Pineau, R. Devon Hjelm:
On-Line Adaptative Curriculum Learning for GANs. 3470-3477 - Bo Dong, Yang Gao, Swarup Chandra, Latifur Khan:
Multistream Classification with Relative Density Ratio Estimation. 3478-3485 - Qi Dong, Xiatian Zhu, Shaogang Gong:
Single-Label Multi-Class Image Classification by Deep Logistic Regression. 3486-3493 - Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor:
How to Combine Tree-Search Methods in Reinforcement Learning. 3494-3501 - Qing En, Lijuan Duan, Zhaoxiang Zhang, Xiang Bai, Yundong Zhang:
Human-Like Delicate Region Erasing Strategy for Weakly Supervised Detection. 3502-3509 - Lijie Fan, Wenbing Huang, Chuang Gan, Junzhou Huang, Boqing Gong:
Controllable Image-to-Video Translation: A Case Study on Facial Expression Generation. 3510-3517 - Jun-Peng Fang
, Min-Ling Zhang:
Partial Multi-Label Learning via Credible Label Elicitation. 3518-3525 - Bahare Fatemi, Siamak Ravanbakhsh, David Poole:
Improved Knowledge Graph Embedding Using Background Taxonomic Information. 3526-3533 - Chao Feng, Chao Qian, Ke Tang:
Unsupervised Feature Selection by Pareto Optimization. 3534-3541 - Lei Feng, Bo An:
Partial Label Learning with Self-Guided Retraining. 3542-3549 - Lei Feng, Bo An, Shuo He:
Collaboration Based Multi-Label Learning. 3550-3557 - Yifan Feng
, Haoxuan You, Zizhao Zhang, Rongrong Ji, Yue Gao:
Hypergraph Neural Networks. 3558-3565 - Vasilii Feofanov, Emilie Devijver, Massih-Reza Amini:
Transductive Bounds for the Multi-Class Majority Vote Classifier. 3566-3573 - Stanislav Fort, Adam Scherlis:
The Goldilocks Zone: Towards Better Understanding of Neural Network Loss Landscapes. 3574-3581 - Vincent François-Lavet, Yoshua Bengio, Doina Precup, Joelle Pineau:
Combined Reinforcement Learning via Abstract Representations. 3582-3589 - Yasuhiro Fujiwara, Sekitoshi Kanai, Junya Arai, Yasutoshi Ida, Naonori Ueda:
Efficient Data Point Pruning for One-Class SVM. 3590-3597 - Ryosuke Furuta, Naoto Inoue, Toshihiko Yamasaki:
Fully Convolutional Network with Multi-Step Reinforcement Learning for Image Processing. 3598-3605 - Futoshi Futami, Zhenghang Cui, Issei Sato, Masashi Sugiyama:
Bayesian Posterior Approximation via Greedy Particle Optimization. 3606-3613 - Jinyang Gao, Junjie Yao, Yingxia Shao:
Towards Reliable Learning for High Stakes Applications. 3614-3621 - Jingyue Gao
, Xiting Wang
, Yasha Wang
, Xing Xie:
Explainable Recommendation through Attentive Multi-View Learning. 3622-3629 - Tingran Gao, Shahab Asoodeh, Yi Huang, James Evans:
Wasserstein Soft Label Propagation on Hypergraphs: Algorithm and Generalization Error Bounds. 3630-3637 - Yuyang Gao, Liang Zhao, Lingfei Wu, Yanfang Ye, Hui Xiong, Chaowei Yang:
Incomplete Label Multi-Task Deep Learning for Spatio-Temporal Event Subtype Forecasting. 3638-3646 - Carles Gelada, Marc G. Bellemare:
Off-Policy Deep Reinforcement Learning by Bootstrapping the Covariate Shift. 3647-3655 - Xu Geng, Yaguang Li, Leye Wang, Lingyu Zhang, Qiang Yang, Jieping Ye, Yan Liu:
Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting. 3656-3663 - AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash, Kun Zhang:
Counting and Sampling from Markov Equivalent DAGs Using Clique Trees. 3664-3671 - Soheil Ghili, Ehsan Kazemi
, Amin Karbasi:
Eliminating Latent Discrimination: Train Then Mask. 3672-3680 - Amirata Ghorbani, Abubakar Abid, James Y. Zou:
Interpretation of Neural Networks Is Fragile. 3681-3688 - Joachim Giesen, Sören Laue, Andreas Löhne, Christopher Schneider:
Using Benson's Algorithm for Regularization Parameter Tracking. 3689-3696 - Bin Gu, Zhouyuan Huo, Heng Huang:
Scalable and Efficient Pairwise Learning to Achieve Statistical Accuracy. 3697-3704 - Ning Gui, Danni Ge, Ziyin Hu:
AFS: An Attention-Based Mechanism for Supervised Feature Selection. 3705-3713 - Hongyu Guo, Yongyi Mao, Richong Zhang:
MixUp as Locally Linear Out-of-Manifold Regularization. 3714-3722 - Junliang Guo, Xu Tan
, Di He, Tao Qin, Linli Xu, Tie-Yan Liu:
Non-Autoregressive Neural Machine Translation with Enhanced Decoder Input. 3723-3730 - Tianyu Guo, Chang Xu
, Boxin Shi, Chao Xu, Dacheng Tao:
Smooth Deep Image Generator from Noises. 3731-3738 - Xiaoxiao Guo, Shiyu Chang, Mo Yu, Gerald Tesauro, Murray Campbell:
Hybrid Reinforcement Learning with Expert State Sequences. 3739-3746 - Vivek Gupta, Rahul Wadbude, Nagarajan Natarajan, Harish Karnick, Prateek Jain, Piyush Rai:
Distributional Semantics Meets Multi-Label Learning. 3747-3754 - Eyal Gutflaish, Aryeh Kontorovich, Sivan Sabato, Ofer Biller, Oded Sofer:
Temporal Anomaly Detection: Calibrating the Surprise. 3755-3762 - Xiao He, Francesco Alesiani, Ammar Shaker:
Efficient and Scalable Multi-Task Regression on Massive Number of Tasks. 3763-3770 - Byeongho Heo, Minsik Lee, Sangdoo Yun, Jin Young Choi:
Knowledge Distillation with Adversarial Samples Supporting Decision Boundary. 3771-3778 - Byeongho Heo, Minsik Lee, Sangdoo Yun, Jin Young Choi:
Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons. 3779-3787 - Sibylle Hess, Wouter Duivesteijn, Philipp Honysz, Katharina Morik:
The SpectACl of Nonconvex Clustering: A Spectral Approach to Density-Based Clustering. 3788-3795 - Matteo Hessel, Hubert Soyer, Lasse Espeholt, Wojciech Czarnecki, Simon Schmitt, Hado van Hasselt:
Multi-Task Deep Reinforcement Learning with PopArt. 3796-3803 - Fuxing Hong, Dongbo Huang, Ge Chen:
Interaction-Aware Factorization Machines for Recommender Systems. 3804-3811 - Hanzhang Hu, Debadeepta Dey, Martial Hebert, J. Andrew Bagnell:
Learning Anytime Predictions in Neural Networks via Adaptive Loss Balancing. 3812-3821 - Hao Hu, Liqiang Wang, Guo-Jun Qi:
Learning to Adaptively Scale Recurrent Neural Networks. 3822-3829 - Liang Hu, Songlei Jian, Longbing Cao
, Zhiping Gu, Qingkui Chen, Artak Amirbekyan:
HERS: Modeling Influential Contexts with Heterogeneous Relations for Sparse and Cold-Start Recommendation. 3830-3837 - Menglei Hu, Songcan Chen:
One-Pass Incomplete Multi-View Clustering. 3838-3845 - Yi-Qi Hu, Yang Yu, Wei-Wei Tu, Qiang Yang, Yuqiang Chen, Wenyuan Dai:
Multi-Fidelity Automatic Hyper-Parameter Tuning via Transfer Series Expansion. 3846-3853 - Kun Huang, Bingbing Ni, Xiaokang Yang:
Efficient Quantization for Neural Networks with Binary Weights and Low Bitwidth Activations. 3854-3861 - Silu Huang, Chi Wang, Bolin Ding, Surajit Chaudhuri:
Efficient Identification of Approximate Best Configuration of Training in Large Datasets. 3862-3869 - Wenzhen Huang, Junge Zhang, Kaiqi Huang:
Bootstrap Estimated Uncertainty of the Environment Model for Model-Based Reinforcement Learning. 3870-3877 - Xiao Huang, Qingquan Song, Fan Yang, Xia Hu:
Large-Scale Heterogeneous Feature Embedding. 3878-3885 - Zhiwu Huang, Jiqing Wu, Luc Van Gool:
Manifold-Valued Image Generation with Wasserstein Generative Adversarial Nets. 3886-3893 - Le Hui, Xiang Li, Chen Gong, Meng Fang, Joey Tianyi Zhou, Jian Yang:
Inter-Class Angular Loss for Convolutional Neural Networks. 3894-3901 - Tsuyoshi Idé:
Tensorial Change Analysis Using Probabilistic Tensor Regression. 3902-3909 - Akira Imakura, Momo Matsuda, Xiucai Ye, Tetsuya Sakurai:
Complex Moment-Based Supervised Eigenmap for Dimensionality Reduction. 3910-3918 - Akane Iseki, Yusuke Mukuta, Yoshitaka Ushiku, Tatsuya Harada:
Estimating the Causal Effect from Partially Observed Time Series. 3919-3926 - Roxana Istrate, Florian Scheidegger, Giovanni Mariani, Dimitrios S. Nikolopoulos, Constantine Bekas, Adelmo Cristiano Innocenza Malossi
:
TAPAS: Train-Less Accuracy Predictor for Architecture Search. 3927-3934 - Tomoharu Iwata, Hitoshi Shimizu:
Neural Collective Graphical Models for Estimating Spatio-Temporal Population Flow from Aggregated Data. 3935-3942 - Andrew Jacobsen, Matthew Schlegel, Cameron Linke, Thomas Degris, Adam White, Martha White:
Meta-Descent for Online, Continual Prediction. 3943-3950 - Vinamra Jain, Prashant Doshi, Bikramjit Banerjee:
Model-Free IRL Using Maximum Likelihood Estimation. 3951-3958 - Jaromír Janisch, Tomás Pevný, Viliam Lisý:
Classification with Costly Features Using Deep Reinforcement Learning. 3959-3966 - Neal Jean, Sherrie Wang
, Anshul Samar, George Azzari, David B. Lobell, Stefano Ermon:
Tile2Vec: Unsupervised Representation Learning for Spatially Distributed Data. 3967-3974 - Bin-Bin Jia, Min-Ling Zhang:
Multi-Dimensional Classification via kNN Feature Augmentation. 3975-3982 - Bingbing Jiang, Xingyu Wu, Kui Yu, Huanhuan Chen:
Joint Semi-Supervised Feature Selection and Classification through Bayesian Approach. 3983-3990 - Hansi Jiang
, Haoyu Wang, Wenhao Hu, Deovrat Kakde, Arin Chaudhuri:
Fast Incremental SVDD Learning Algorithm with the Gaussian Kernel. 3991-3998 - Heinrich Jiang:
Non-Asymptotic Uniform Rates of Consistency for k-NN Regression. 3999-4006 - Jiatao Jiang
, Zhen Cui, Chunyan Xu, Jian Yang:
Gaussian-Induced Convolution for Graphs. 4007-4014 - Yue Jiang, Zhouhui Lian, Yingmin Tang, Jianguo Xiao:
SCFont: Structure-Guided Chinese Font Generation via Deep Stacked Networks. 4015-4022 - Binbin Jin, Hongke Zhao, Enhong Chen, Qi Liu, Yong Ge:
Estimating the Days to Success of Campaigns in Crowdfunding: A Deep Survival Perspective. 4023-4030 - Sunghwan Joo, Sungmin Cha, Taesup Moon:
DoPAMINE: Double-Sided Masked CNN for Pixel Adaptive Multiplicative Noise Despeckling. 4031-4038 - Brendan Juba, Hai S. Le:
Precision-Recall versus Accuracy and the Role of Large Data Sets. 4039-4048 - Ata Kabán:
Dimension-Free Error Bounds from Random Projections. 4049-4056 - Zhao Kang, Yiwei Lu, Yuanzhang Su, Changsheng Li, Zenglin Xu:
Similarity Learning via Kernel Preserving Embedding. 4057-4064 - Rohit Keshari, Richa Singh, Mayank Vatsa:
Guided Dropout. 4065-4072 - Shun Kiyono, Jun Suzuki, Kentaro Inui:
Mixture of Expert/Imitator Networks: Scalable Semi-Supervised Learning Framework. 4073-4081 - Matthew Klawonn, Eric Heim, James A. Hendler:
Exploiting Class Learnability in Noisy Data. 4082-4089 - Quan Kong, Bin Tong, Martin Klinkigt, Yuki Watanabe, Naoto Akira, Tomokazu Murakami:
Active Generative Adversarial Network for Image Classification. 4090-4097 - Mark Kozdoba, Jakub Marecek
, Tigran T. Tchrakian, Shie Mannor:
On-Line Learning of Linear Dynamical Systems: Exponential Forgetting in Kalman Filters. 4098-4105 - Atsutoshi Kumagai, Tomoharu Iwata:
Unsupervised Domain Adaptation by Matching Distributions Based on the Maximum Mean Discrepancy via Unilateral Transformations. 4106-4113 - Richard Kurle, Stephan Günnemann, Patrick van der Smagt
:
Multi-Source Neural Variational Inference. 4114-4121 - Seiichi Kuroki, Nontawat Charoenphakdee, Han Bao
, Junya Honda, Issei Sato, Masashi Sugiyama:
Unsupervised Domain Adaptation Based on Source-Guided Discrepancy. 4122-4129 - Yi-Yu Lai, Jennifer Neville, Dan Goldwasser:
TransConv: Relationship Embedding in Social Networks. 4130-4138 - Liang Lan, Yu Geng
:
Accurate and Interpretable Factorization Machines. 4139-4146 - Jay Yoon Lee, Sanket Vaibhav Mehta, Michael L. Wick, Jean-Baptiste Tristan, Jaime G. Carbonell:
Gradient-Based Inference for Networks with Output Constraints. 4147-4154 - Kyubin Lee
, Akshay Sood, Mark Craven:
Understanding Learned Models by Identifying Important Features at the Right Resolution. 4155-4163 - Sanghack Lee, Elias Bareinboim:
Structural Causal Bandits with Non-Manipulable Variables. 4164-4172 - Chunyuan Li, Changyou Chen, Yunchen Pu, Ricardo Henao, Lawrence Carin:
Communication-Efficient Stochastic Gradient MCMC for Neural Networks. 4173-4180 - Jia Li, Cong Fang, Zhouchen Lin:
Lifted Proximal Operator Machines. 4181-4188 - Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu
, Yang Yang, Zi Huang:
From Zero-Shot Learning to Cold-Start Recommendation. 4189-4196 - Linwei Li, Liangchen Guo, Zhenying He, Yinan Jing, X. Sean Wang:
X-DMM: Fast and Scalable Model Based Text Clustering. 4197-4204 - Ping Li:
Sign-Full Random Projections. 4205-4212 - Shihui Li, Yi Wu, Xinyue Cui, Honghua Dong, Fei Fang, Stuart Russell:
Robust Multi-Agent Reinforcement Learning via Minimax Deep Deterministic Policy Gradient. 4213-4220 - Xiang Li, Ben Kao, Zhaochun Ren, Dawei Yin:
Spectral Clustering in Heterogeneous Information Networks. 4221-4228 - Yanjun Li, Kai Zhang, Jun Wang, Sanjiv Kumar:
Learning Adaptive Random Features. 4229-4236 - Yufeng Li, Hai Wang, Tong Wei, Wei-Wei Tu:
Towards Automated Semi-Supervised Learning. 4237-4244 - Zejian Li, Yongchuan Tang, Wei Li
, Yongxing He:
Learning Disentangled Representation with Pairwise Independence. 4245-4252 - Zheng Li, Ying Wei
, Yu Zhang, Xiang Zhang, Xin Li:
Exploiting Coarse-to-Fine Task Transfer for Aspect-Level Sentiment Classification. 4253-4260 - Ziyao Li
, Liang Zhang, Guojie Song:
SepNE: Bringing Separability to Network Embedding. 4261-4268 - Shangsong Liang:
Collaborative, Dynamic and Diversified User Profiling. 4269-4276 - Yitao Liang, Guy Van den Broeck:
Learning Logistic Circuits. 4277-4286 - Siyu Liao, Bo Yuan:
CircConv: A Structured Convolution with Low Complexity. 4287-4294 - Rung-Tzuo Liaw, Chuan-Kang Ting:
Evolutionary Manytasking Optimization Based on Symbiosis in Biocoenosis. 4295-4303 - Chen Lin, Xiaolin Shen, Si Chen, Muhua Zhu, Yanghua Xiao:
Non-Compensatory Psychological Models for Recommender Systems. 4304-4311 - Ming Lin, Shuang Qiu, Jieping Ye, Xiaomin Song, Qi Qian, Liang Sun, Shenghuo Zhu, Rong Jin:
Which Factorization Machine Modeling Is Better: A Theoretical Answer with Optimal Guarantee. 4312-4319 - Zhenhua Lin
, Hongtu Zhu:
MFPCA: Multiscale Functional Principal Component Analysis. 4320-4327 - Ao Liu, Zhibing Zhao, Chao Liao, Pinyan Lu, Lirong Xia:
Learning Plackett-Luce Mixtures from Partial Preferences. 4328-4335 - Ao Liu, Qiong Wu
, Zhenming Liu, Lirong Xia:
Near-Neighbor Methods in Random Preference Completion. 4336-4343 - Dan Liu, Dawei Du, Libo Zhang, Tiejian Luo, Yanjun Wu, Feiyue Huang, Siwei Lyu:
Scale Invariant Fully Convolutional Network: Detecting Hands Efficiently. 4344-4351 - Guoqing Liu, Li Zhao, Feidiao Yang, Jiang Bian, Tao Qin, Nenghai Yu, Tie-Yan Liu:
Trust Region Evolution Strategies. 4352-4359 - Pengfei Liu, Jie Fu, Yue Dong
, Xipeng Qiu, Jackie Chi Kit Cheung:
Learning Multi-Task Communication with Message Passing for Sequence Learning. 4360-4367 - Risheng Liu, Yuxi Zhang, Shichao Cheng, Xin Fan, Zhongxuan Luo:
A Theoretically Guaranteed Deep Optimization Framework for Robust Compressive Sensing MRI. 4368-4375 - Rui Liu, Tianyi Wu, Barzan Mozafari:
A Bandit Approach to Maximum Inner Product Search. 4376-4383 - Vincent Liu, Raksha Kumaraswamy, Lei Le, Martha White:
The Utility of Sparse Representations for Control in Reinforcement Learning. 4384-4391 - Xinwang Liu, Xinzhong Zhu, Miaomiao Li, Chang Tang, En Zhu, Jianping Yin, Wen Gao:
Efficient and Effective Incomplete Multi-View Clustering. 4392-4399 - Xuanwu Liu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Yazhou Ren, Maozu Guo:
Ranking-Based Deep Cross-Modal Hashing. 4400-4407 - Yanbin Liu, Yan Yan, Ling Chen
, Yahong Han, Yi Yang:
Adaptive Sparse Confidence-Weighted Learning for Online Feature Selection. 4408-4415 - Zhao-Yang Liu, Sheng-Jun Huang:
Active Sampling for Open-Set Classification without Initial Annotation. 4416-4423 - Ziqi Liu, Chaochao Chen, Longfei Li, Jun Zhou, Xiaolong Li
, Le Song, Yuan Qi:
GeniePath: Graph Neural Networks with Adaptive Receptive Paths. 4424-4431 - Guansong Lu, Zhiming Zhou, Yuxuan Song, Kan Ren, Yong Yu:
Guiding the One-to-One Mapping in CycleGAN via Optimal Transport. 4432-4439 - Yao Lu, Guangming Lu, Bob Zhang, Yuanrong Xu, Jinxing Li:
Super Sparse Convolutional Neural Networks. 4440-4447 - You Lu
, Zhiyuan Liu, Bert Huang:
Block Belief Propagation for Parameter Learning in Markov Random Fields. 4448-4455 - Yuanfu Lu, Chuan Shi, Linmei Hu, Zhiyuan Liu:
Relation Structure-Aware Heterogeneous Information Network Embedding. 4456-4463 - Chen Luo, Anshumali Shrivastava:
Scaling-Up Split-Merge MCMC with Locality Sensitive Sampling (LSS). 4464-4471 - Lei Luo, Jie Xu, Cheng Deng, Heng Huang:
Orthogonality-Promoting Dictionary Learning via Bayesian Inference. 4472-4479 - Lei Luo, Jie Xu, Cheng Deng, Heng Huang:
Robust Metric Learning on Grassmann Manifolds with Generalization Guarantees. 4480-4487 - Simon Luo, Mahito Sugiyama:
Bias-Variance Trade-Off in Hierarchical Probabilistic Models Using Higher-Order Feature Interactions. 4488-4495 - Siqiang Luo:
Distributed PageRank Computation: An Improved Theoretical Study. 4496-4503 - Clare Lyle, Marc G. Bellemare, Pablo Samuel Castro:
A Comparative Analysis of Expected and Distributional Reinforcement Learning. 4504-4511 - Shuai Ma, Jia Yuan Yu:
State-Augmentation Transformations for Risk-Sensitive Reinforcement Learning. 4512-4519 - Yuchao Ma, Hassan Ghasemzadeh:
LabelForest: Non-Parametric Semi-Supervised Learning for Activity Recognition. 4520-4527 - Kehelwala Dewage Gayan Maduranga
, Kyle E. Helfrich, Qiang Ye:
Complex Unitary Recurrent Neural Networks Using Scaled Cayley Transform. 4528-4535 - Saeed Mahloujifar, Dimitrios I. Diochnos
, Mohammad Mahmoody
:
The Curse of Concentration in Robust Learning: Evasion and Poisoning Attacks from Concentration of Measure. 4536-4543 - Maggie Makar, Adith Swaminathan, Emre Kiciman:
A Distillation Approach to Data Efficient Individual Treatment Effect Estimation. 4544-4551 - André Gustavo Maletzke, Denis Moreira dos Reis, Everton Alvares Cherman, Gustavo E. A. P. A. Batista:
DyS: A Framework for Mixture Models in Quantification. 4552-4560 - Raghuram Mandyam Annasamy, Katia P. Sycara:
Towards Better Interpretability in Deep Q-Networks. 4561-4569 - Ryan McBride, Ke Wang, Zhouyang Ren, Wenyuan Li:
Cost-Sensitive Learning to Rank. 4570-4577 - Shaobo Min, Xuejin Chen, Zheng-Jun Zha, Feng Wu, Yongdong Zhang:
A Two-Stream Mutual Attention Network for Semi-Supervised Biomedical Segmentation with Noisy Labels. 4578-4585 - Di Ming
, Chris Ding, Feiping Nie:
A Probabilistic Derivation of LASSO and L12-Norm Feature Selections. 4586-4593 - Kohei Miyaguchi, Hiroshi Kajino:
Cogra: Concept-Drift-Aware Stochastic Gradient Descent for Time-Series Forecasting. 4594-4601 - Christopher Morris, Martin Ritzert, Matthias Fey, William L. Hamilton, Jan Eric Lenssen, Gaurav Rattan
, Martin Grohe:
Weisfeiler and Leman Go Neural: Higher-Order Graph Neural Networks. 4602-4609 - Sudipto Mukherjee, Himanshu Asnani, Eugene Lin, Sreeram Kannan:
ClusterGAN: Latent Space Clustering in Generative Adversarial Networks. 4610-4617 - So Nakashima, Takanori Maehara:
Subspace Selection via DR-Submodular Maximization on Lattices. 4618-4625 - Hyoungwook Nam, Segwang Kim
, Kyomin Jung:
Number Sequence Prediction Problems for Evaluating Computational Powers of Neural Networks. 4626-4633 - Yusuke Narita, Shota Yasui, Kohei Yata:
Efficient Counterfactual Learning from Bandit Feedback. 4634-4641 - Pablo Navarrete Michelini, Hanwen Liu, Dan Zhu:
Multigrid Backprojection Super-Resolution and Deep Filter Visualization. 4642-4650 - Alexander G. Ororbia II, Ankur Arjun Mali:
Biologically Motivated Algorithms for Propagating Local Target Representations. 4651-4658 - Takayuki Osogami, Rudy Raymond:
Determinantal Reinforcement Learning. 4659-4666 - Dipan K. Pal, Marios Savvides:
Non-Parametric Transformation Networks for Learning General Invariances from Data. 4667-4674 - Feiyang Pan, Qingpeng Cai, Anxiang Zeng, Chun-Xiang Pan, Qing Da, Hua-Lin He, Qing He, Pingzhong Tang:
Policy Optimization with Model-Based Explorations. 4675-4682 - Yu Pan, Jing Xu
, Maolin Wang, Jinmian Ye, Fei Wang, Kun Bai, Zenglin Xu:
Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition. 4683-4690 - Zhen-Jia Pang, Ruo-Ze Liu, Zhou-Yu Meng, Yi Zhang
, Yang Yu, Tong Lu:
On Reinforcement Learning for Full-Length Game of StarCraft. 4691-4698 - Sungrae Park, Kyungwoo Song, Mingi Ji, Wonsung Lee, Il-Chul Moon:
Adversarial Dropout for Recurrent Neural Networks. 4699-4706 - Minlong Peng, Qi Zhang, Xiaoyu Xing, Tao Gui, Xuanjing Huang, Yu-Gang Jiang, Keyu Ding, Zhigang Chen:
Trainable Undersampling for Class-Imbalance Learning. 4707-4714 - María Pérez-Ortiz, Peter Tiño, Rafal Mantiuk, César Hervás-Martínez:
Exploiting Synthetically Generated Data with Semi-Supervised Learning for Small and Imbalanced Datasets. 4715-4722 - Mirko Polato, Fabio Aiolli:
Interpretable Preference Learning: A Game Theoretic Framework for Large Margin On-Line Feature and Rule Learning. 4723-4730 - Marcelo O. R. Prates, Pedro H. C. Avelar, Henrique Lemos, Luís C. Lamb
, Moshe Y. Vardi:
Learning to Solve NP-Complete Problems: A Graph Neural Network for Decision TSP. 4731-4738 - Qi Qian, Shenghuo Zhu, Jiasheng Tang, Rong Jin, Baigui Sun, Hao Li:
Robust Optimization over Multiple Domains. 4739-4746 - You Qiaoben, Zheng Wang
, Jianguo Li, Yinpeng Dong, Yu-Gang Jiang, Jun Zhu:
Composite Binary Decomposition Networks. 4747-4754 - Xiaoyu Qin, Kai Ming Ting, Ye Zhu, Vincent C. S. Lee:
Nearest-Neighbour-Induced Isolation Similarity and Its Impact on Density-Based Clustering. 4755-4762 - Alexander Ratner, Braden Hancock, Jared Dunnmon, Frederic Sala, Shreyash Pandey, Christopher Ré:
Training Complex Models with Multi-Task Weak Supervision. 4763-4771 - Sathya N. Ravi, Tuan Dinh, Vishnu Suresh Lokhande, Vikas Singh:
Explicitly Imposing Constraints in Deep Networks via Conditional Gradients Gives Improved Generalization and Faster Convergence. 4772-4779 - Esteban Real, Alok Aggarwal, Yanping Huang, Quoc V. Le:
Regularized Evolution for Image Classifier Architecture Search. 4780-4789 - Ievgen Redko, Charlotte Laclau:
On Fair Cost Sharing Games in Machine Learning. 4790-4797 - Kan Ren, Jiarui Qin, Lei Zheng, Zhengyu Yang, Weinan Zhang, Lin Qiu, Yong Yu:
Deep Recurrent Survival Analysis. 4798-4805 - Pengjie Ren, Zhumin Chen, Jing Li, Zhaochun Ren, Jun Ma, Maarten de Rijke
:
RepeatNet: A Repeat Aware Neural Recommendation Machine for Session-Based Recommendation. 4806-4813 - Tao Ruan, Ting Liu, Zilong Huang, Yunchao Wei, Shikui Wei, Yao Zhao:
Devil in the Details: Towards Accurate Single and Multiple Human Parsing. 4814-4821 - Sebastian Ruder, Joachim Bingel, Isabelle Augenstein
, Anders Søgaard:
Latent Multi-Task Architecture Learning. 4822-4829 - Aadirupa Saha, Rakesh Shivanna, Chiranjib Bhattacharyya:
How Many Pairwise Preferences Do We Need to Rank a Graph Consistently? 4830-4837 - Tomoya Sakai, Nobuyuki Shimizu:
Covariate Shift Adaptation on Learning from Positive and Unlabeled Data. 4838-4845 - Patrick Schwab, Djordje Miladinovic, Walter Karlen
:
Granger-Causal Attentive Mixtures of Experts: Learning Important Features with Neural Networks. 4846-4853 - Arik Senderovich, J. Christopher Beck, Avigdor Gal, Matthias Weidlich:
Congestion Graphs for Automated Time Predictions. 4854-4861 - Kristen A. Severson, Soumya Ghosh, Kenney Ng:
Unsupervised Learning with Contrastive Latent Variable Models. 4862-4869 - Kulin Shah, Naresh Manwani:
Sparse Reject Option Classifier Using Successive Linear Programming. 4870-4877 - Jin Shang
, Mingxuan Sun:
Geometric Hawkes Processes with Graph Convolutional Recurrent Neural Networks. 4878-4885 - Zhiqiang Shen, Zhankui He, Xiangyang Xue:
MEAL: Multi-Model Ensemble via Adversarial Learning. 4886-4893 - Xiang-Rong Sheng, De-Chuan Zhan, Su Lu, Yuan Jiang:
Multi-View Anomaly Detection: Neighborhood in Locality Matters. 4894-4901 - Jing-Cheng Shi, Yang Yu, Qing Da, Shi-Yong Chen, Anxiang Zeng:
Virtual-Taobao: Virtualizing Real-World Online Retail Environment for Reinforcement Learning. 4902-4909 - Shu-Ting Shi, Ming Li, David Lo
, Ferdian Thung, Xuan Huo:
Automatic Code Review by Learning the Revision of Source Code. 4910-4917 - Xiaofei Shi
, David P. Woodruff:
Sublinear Time Numerical Linear Algebra for Structured Matrices. 4918-4925 - Yaxin Shi, Donna Xu, Yuangang Pan, Ivor W. Tsang
, Shirui Pan
:
Label Embedding with Partial Heterogeneous Contexts. 4926-4933 - David Shriver
, Sebastian G. Elbaum, Matthew B. Dwyer
, David S. Rosenblum:
Evaluating Recommender System Stability with Influence-Guided Fuzzing. 4934-4942 - Hai Shu
, Hongtu Zhu:
Sensitivity Analysis of Deep Neural Networks. 4943-4950 - Yang Shu, Zhangjie Cao, Mingsheng Long
, Jianmin Wang
:
Transferable Curriculum for Weakly-Supervised Domain Adaptation. 4951-4958 - Aditya Siddhant, Anuj Kumar Goyal, Angeliki Metallinou:
Unsupervised Transfer Learning for Spoken Language Understanding in Intelligent Agents. 4959-4966 - Thiago D. Simão
, Matthijs T. J. Spaan:
Safe Policy Improvement with Baseline Bootstrapping in Factored Environments. 4967-4974 - Christopher L. Simpkins, Charles L. Isbell Jr.:
Composable Modular Reinforcement Learning. 4975-4982 - Kyungwoo Song, Mingi Ji, Sungrae Park, Il-Chul Moon:
Hierarchical Context Enabled Recurrent Neural Network for Recommendation. 4983-4991 - Yuhang Song, Jianyi Wang
, Thomas Lukasiewicz, Zhenghua Xu, Mai Xu:
Diversity-Driven Extensible Hierarchical Reinforcement Learning. 4992-4999 - Amber Srivastava, Mayank Baranwal, Srinivasa M. Salapaka:
On the Persistence of Clustering Solutions and True Number of Clusters in a Dataset. 5000-5007 - Kai Su, Xin Geng:
Soft Facial Landmark Detection by Label Distribution Learning. 5008-5015 - Lijuan Sun, Songhe Feng, Tao Wang, Congyan Lang, Yi Jin
:
Partial Multi-Label Learning by Low-Rank and Sparse Decomposition. 5016-5023 - Qigong Sun, Fanhua Shang, Kang Yang, Xiufang Li, Yan Ren, Licheng Jiao:
Multi-Precision Quantized Neural Networks via Encoding Decomposition of {-1, +1}. 5024-5032 - Tao Sun, Penghang Yin, Dongsheng Li, Chun Huang, Lei Guan, Hao Jiang:
Non-Ergodic Convergence Analysis of Heavy-Ball Algorithms. 5033-5040 - Xin Sun, Zenghui Song, Junyu Dong, Yongbo Yu, Claudia Plant
, Christian Böhm:
Network Structure and Transfer Behaviors Embedding via Deep Prediction Model. 5041-5048 - Yi Sun, Alfredo Cuesta-Infante
, Kalyan Veeramachaneni:
Learning Vine Copula Models for Synthetic Data Generation. 5049-5057 - Fariborz Taherkhani, Hadi Kazemi, Nasser M. Nasrabadi:
Matrix Completion for Graph-Based Deep Semi-Supervised Learning. 5058-5065 - Hiroshi Takahashi, Tomoharu Iwata, Yuki Yamanaka, Masanori Yamada, Satoshi Yagi:
Variational Autoencoder with Implicit Optimal Priors. 5066-5073 - Sho Takase, Jun Suzuki, Masaaki Nagata:
Character n-Gram Embeddings to Improve RNN Language Models. 5074-5082 - Zhi-Hao Tan, Teng Zhang, Wei Wang:
Coreset Stochastic Variance-Reduced Gradient with Application to Optimal Margin Distribution Machine. 5083-5090 - Yusuke Tanaka
, Tomoharu Iwata, Toshiyuki Tanaka, Takeshi Kurashima, Maya Okawa, Hiroyuki Toda:
Refining Coarse-Grained Spatial Data Using Auxiliary Spatial Data Sets with Various Granularities. 5091-5099 - Chang Tang, Xinzhong Zhu, Xinwang Liu, Lizhe Wang:
Cross-View Local Structure Preserved Diversity and Consensus Learning for Multi-View Unsupervised Feature Selection. 5101-5108 - Shijie Tang, Yuan Yao, Suwei Zhang, Feng Xu, Tianxiao Gu, Hanghang Tong, Xiaohui Yan, Jian Lu:
An Integral Tag Recommendation Model for Textual Content. 5109-5116 - Ying-Peng Tang
, Sheng-Jun Huang:
Self-Paced Active Learning: Query the Right Thing at the Right Time. 5117-5124 - Hanqing Tao, Shiwei Tong, Hongke Zhao, Tong Xu, Binbin Jin, Qi Liu:
A Radical-Aware Attention-Based Model for Chinese Text Classification. 5125-5132 - (Withdrawn) Optimization of Hierarchical Regression Model with Application to Optimizing Multi-Response Regression K-ary Trees. 5133-5142
- Yi Tay, Shuai Zhang, Anh Tuan Luu, Siu Cheung Hui, Lina Yao, Tran Dang Quang Vinh:
Holographic Factorization Machines for Recommendation. 5143-5150 - Takeshi Teshima, Miao Xu
, Issei Sato, Masashi Sugiyama:
Clipped Matrix Completion: A Remedy for Ceiling Effects. 5151-5158 - Erik Thiel, Morteza Haghir Chehreghani, Devdatt P. Dubhashi:
A Non-Convex Optimization Approach to Correlation Clustering. 5159-5166 - Kai Tian, Shuigeng Zhou, Jianping Fan, Jihong Guan:
Learning Competitive and Discriminative Reconstructions for Anomaly Detection. 5167-5174 - Saket Tiwari, Philip S. Thomas:
Natural Option Critic. 5175-5182 - Christopher Tran, Elena Zheleva:
Learning Triggers for Heterogeneous Treatment Effects. 5183-5190 - Ngoc-Trung Tran, Tuan-Anh Bui, Ngai-Man Cheung:
Improving GAN with Neighbors Embedding and Gradient Matching. 5191-5198 - Amin Vahedian, Xun Zhou, Ling Tong, W. Nick Street, Yanhua Li:
Predicting Urban Dispersal Events: A Two-Stage Framework through Deep Survival Analysis on Mobility Data. 5199-5206 - Antonio Vergari, Alejandro Molina
, Robert Peharz
, Zoubin Ghahramani, Kristian Kersting, Isabel Valera
:
Automatic Bayesian Density Analysis. 5207-5215 - Hung Vu, Tu Dinh Nguyen, Trung Le, Wei Luo
, Dinh Q. Phung:
Robust Anomaly Detection in Videos Using Multilevel Representations. 5216-5223 - Chengwei Wang, Tengfei Zhou, Chen Chen, Tianlei Hu, Gang Chen:
CAMO: A Collaborative Ranking Method for Content Based Recommendation. 5224-5231 - Chuan Wang, Haibin Huang, Xiaoguang Han, Jue Wang:
Video Inpainting by Jointly Learning Temporal Structure and Spatial Details. 5232-5239 - Hanmo Wang, Runwu Zhou, Yi-Dong Shen:
Bounding Uncertainty for Active Batch Selection. 5240-5247 - Haoyu Wang, Nan Shao, Defu Lian:
Adversarial Binary Collaborative Filtering for Implicit Feedback. 5248-5255 - Jing Wang, Xin Geng:
Theoretical Analysis of Label Distribution Learning. 5256-5263 - Jing Wang, Atsushi Suzuki, Linchuan Xu, Feng Tian, Liang Yang, Kenji Yamanishi
:
Orderly Subspace Clustering. 5264-5272 - Jingyuan Wang, Kai Feng, Junjie Wu:
SVM-Based Deep Stacking Networks. 5273-5280 - Lichen Wang, Jiaxiang Wu, Shao-Lun Huang, Lizhong Zheng, Xiangxiang Xu, Lin Zhang, Junzhou Huang:
An Efficient Approach to Informative Feature Extraction from Multimodal Data. 5281-5288 - Shaoqi Wang, Aidi Pi, Xiaobo Zhou:
Scalable Distributed DL Training: Batching Communication and Computation. 5289-5296