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Multi-Agent Collaboration via Reward Attribution Decomposition

Oct 16, 2020
Tianjun Zhang, Huazhe Xu, Xiaolong Wang, Yi Wu, Kurt Keutzer, Joseph E. Gonzalez, Yuandong Tian


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Unsupervised Extractive Summarization by Pre-training Hierarchical Transformers

Oct 16, 2020
Shusheng Xu, Xingxing Zhang, Yi Wu, Furu Wei, Ming Zhou

* 9 pages, 4 figures 

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Streaming Graph Neural Networks via Continual Learning

Sep 23, 2020
Junshan Wang, Guojie Song, Yi Wu, Liang Wang

* 10 pages 

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Hybrid-Attention Guided Network with Multiple Resolution Features for Person Re-Identification

Sep 16, 2020
Guoqing Zhang, Junchuan Yang, Yuhui Zheng, Yi Wu, Shengyong Chen

* 11 pages, 8 figures, 66 conferences 

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Unsupervised Deformable Medical Image Registration via Pyramidal Residual Deformation Fields Estimation

Apr 16, 2020
Yujia Zhou, Shumao Pang, Jun Cheng, Yuhang Sun, Yi Wu, Lei Zhao, Yaqin Liu, Zhentai Lu, Wei Yang, Qianjin Feng


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Multi-Task Reinforcement Learning with Soft Modularization

Mar 30, 2020
Ruihan Yang, Huazhe Xu, Yi Wu, Xiaolong Wang

* Our project page: https://rchalyang.github.io/SoftModule 

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SaccadeNet: A Fast and Accurate Object Detector

Mar 26, 2020
Shiyi Lan, Zhou Ren, Yi Wu, Larry S. Davis, Gang Hua


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Evolutionary Population Curriculum for Scaling Multi-Agent Reinforcement Learning

Mar 23, 2020
Qian Long, Zihan Zhou, Abhibav Gupta, Fei Fang, Yi Wu, Xiaolong Wang

* The project page is https://sites.google.com/view/epciclr2020 .The source code is released at https://github.com/qian18long/epciclr2020 

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SQLFlow: A Bridge between SQL and Machine Learning

Jan 19, 2020
Yi Wang, Yang Yang, Weiguo Zhu, Yi Wu, Xu Yan, Yongfeng Liu, Yu Wang, Liang Xie, Ziyao Gao, Wenjing Zhu, Xiang Chen, Wei Yan, Mingjie Tang, Yuan Tang


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Influence-Based Multi-Agent Exploration

Oct 12, 2019
Tonghan Wang, Jianhao Wang, Yi Wu, Chongjie Zhang


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PPGAN: Privacy-preserving Generative Adversarial Network

Oct 04, 2019
Yi Liu, Jialiang Peng, James J. Q Yu, Yi Wu

* This paper was accepted by IEEE ICPADS 2019 Workshop. This paper contains 10 pages, 3 figures 

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Emergent Tool Use From Multi-Agent Autocurricula

Sep 17, 2019
Bowen Baker, Ingmar Kanitscheider, Todor Markov, Yi Wu, Glenn Powell, Bob McGrew, Igor Mordatch


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Bayesian Relational Memory for Semantic Visual Navigation

Sep 10, 2019
Yi Wu, Yuxin Wu, Aviv Tamar, Stuart Russell, Georgia Gkioxari, Yuandong Tian

* Accepted at ICCV 2019 

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Fairness in Recommendation Ranking through Pairwise Comparisons

Mar 02, 2019
Alex Beutel, Jilin Chen, Tulsee Doshi, Hai Qian, Li Wei, Yi Wu, Lukasz Heldt, Zhe Zhao, Lichan Hong, Ed H. Chi, Cristos Goodrow


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

Nov 06, 2018
Yufei Wang, Zheyuan Ryan Shi, Lantao Yu, Yi Wu, Rohit Singh, Lucas Joppa, Fei Fang


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Learning and Planning with a Semantic Model

Sep 28, 2018
Yi Wu, Yuxin Wu, Aviv Tamar, Stuart Russell, Georgia Gkioxari, Yuandong Tian

* submitted to ICLR 2019 

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Robust Fuzzy-Learning For Partially Overlapping Channels Allocation In UAV Communication Networks

Jun 28, 2018
Chaoqiong Fan, Bin Li, Jia Hou, Yi Wu, Weisi Guo, Chenglin Zhao


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Discrete-Continuous Mixtures in Probabilistic Programming: Generalized Semantics and Inference Algorithms

Jun 08, 2018
Yi Wu, Siddharth Srivastava, Nicholas Hay, Simon Du, Stuart Russell

* Accepted by ICML 2018 

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Building Generalizable Agents with a Realistic and Rich 3D Environment

Apr 08, 2018
Yi Wu, Yuxin Wu, Georgia Gkioxari, Yuandong Tian

* updated with improved content and more experinemnts 

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Near-Linear Time Local Polynomial Nonparametric Estimation

Feb 26, 2018
Yining Wang, Yi Wu, Simon S. Du


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Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments

Jan 16, 2018
Ryan Lowe, Yi Wu, Aviv Tamar, Jean Harb, Pieter Abbeel, Igor Mordatch


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Neural Block Sampling

Dec 14, 2017
Tongzhou Wang, Yi Wu, David A. Moore, Stuart J. Russell

* 9 pages + supplementary materials (2 pages) 

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CoupleNet: Coupling Global Structure with Local Parts for Object Detection

Aug 09, 2017
Yousong Zhu, Chaoyang Zhao, Jinqiao Wang, Xu Zhao, Yi Wu, Hanqing Lu

* Accepted by ICCV 2017 

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Value Iteration Networks

Mar 20, 2017
Aviv Tamar, Yi Wu, Garrett Thomas, Sergey Levine, Pieter Abbeel

* Advances in Neural Information Processing Systems 29 pages 2154--2162, 2016 
* Fixed missing table values 

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Tractability and Decompositions of Global Cost Functions

Jun 30, 2016
David Allouche, Christian Bessiere, Patrice Boizumault, Simon de Givry, Patricia Gutierrez, Jimmy H. M. Lee, Kam Lun Leung, Samir Loudni, Jean-Philippe Métivier, Thomas Schiex, Yi Wu

* 45 pages for the main paper, extra Appendix with examples of DAG-decomposed global cost functions 

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Swift: Compiled Inference for Probabilistic Programming Languages

Jun 30, 2016
Yi Wu, Lei Li, Stuart Russell, Rastislav Bodik

* IJCAI 2016 

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Towards Practical Bayesian Parameter and State Estimation

Mar 29, 2016
Yusuf Bugra Erol, Yi Wu, Lei Li, Stuart Russell


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Robust Visual Tracking via Convolutional Networks

Aug 24, 2015
Kaihua Zhang, Qingshan Liu, Yi Wu, Ming-Hsuan Yang


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Adaptive Compressive Tracking via Online Vector Boosting Feature Selection

Apr 22, 2015
Qingshan Liu, Jing Yang, Kaihua Zhang, Yi Wu


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Dual-Space Analysis of the Sparse Linear Model

Jul 10, 2012
David Wipf, Yi Wu

* 9 pages, 2 figures, submission to NIPS 2012 

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