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CoinDICE: Off-Policy Confidence Interval Estimation

Oct 22, 2020
Bo Dai, Ofir Nachum, Yinlam Chow, Lihong Li, Csaba Szepesv√°ri, Dale Schuurmans

* To appear at NeurIPS 2020 as spotlight 

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Small Towers Make Big Differences

Aug 13, 2020
Yuyan Wang, Zhe Zhao, Bo Dai, Christopher Fifty, Dong Lin, Lichan Hong, Ed H. Chi


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Energy-based View of Retrosynthesis

Jul 14, 2020
Ruoxi Sun, Hanjun Dai, Li Li, Steven Kearnes, Bo Dai


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Off-Policy Evaluation via the Regularized Lagrangian

Jul 07, 2020
Mengjiao Yang, Ofir Nachum, Bo Dai, Lihong Li, Dale Schuurmans


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Provably Efficient Neural Estimation of Structural Equation Model: An Adversarial Approach

Jul 02, 2020
Luofeng Liao, You-Lin Chen, Zhuoran Yang, Bo Dai, Zhaoran Wang, Mladen Kolar

* Submitted to NeurIPS 2020. Under review 

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Unsupervised Landmark Learning from Unpaired Data

Jun 29, 2020
Yinghao Xu, Ceyuan Yang, Ziwei Liu, Bo Dai, Bolei Zhou


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Scalable Deep Generative Modeling for Sparse Graphs

Jun 28, 2020
Hanjun Dai, Azade Nazi, Yujia Li, Bo Dai, Dale Schuurmans

* ICML 2020 

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Video Representation Learning with Visual Tempo Consistency

Jun 28, 2020
Ceyuan Yang, Yinghao Xu, Bo Dai, Bolei Zhou

* Technical report. Models are available at https://github.com/decisionforce/VTHCL 

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Zeroth-Order Supervised Policy Improvement

Jun 11, 2020
Hao Sun, Ziping Xu, Yuhang Song, Meng Fang, Jiechao Xiong, Bo Dai, Zhengyou Zhang, Bolei Zhou


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Novel Policy Seeking with Constrained Optimization

May 21, 2020
Hao Sun, Zhenghao Peng, Bo Dai, Jian Guo, Dahua Lin, Bolei Zhou


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Intra- and Inter-Action Understanding via Temporal Action Parsing

May 20, 2020
Dian Shao, Yue Zhao, Bo Dai, Dahua Lin

* CVPR 2020 Poster; Project page: https://sdolivia.github.io/TAPOS/ 

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Evolutionary Stochastic Policy Distillation

Apr 30, 2020
Hao Sun, Xinyu Pan, Bo Dai, Dahua Lin, Bolei Zhou


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FineGym: A Hierarchical Video Dataset for Fine-grained Action Understanding

Apr 14, 2020
Dian Shao, Yue Zhao, Bo Dai, Dahua Lin

* CVPR 2020 Oral (3 strong accepts); Project page: https://sdolivia.github.io/FineGym/ 

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Temporal Pyramid Network for Action Recognition

Apr 07, 2020
Ceyuan Yang, Yinghao Xu, Jianping Shi, Bo Dai, Bolei Zhou

* To appear in CVPR 2020 

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Self-Supervised Scene De-occlusion

Apr 06, 2020
Xiaohang Zhan, Xingang Pan, Bo Dai, Ziwei Liu, Dahua Lin, Chen Change Loy

* Accepted to CVPR 2020 as oral. Project page: https://xiaohangzhan.github.io/projects/deocclusion/ 

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Learning Sparse Rewarded Tasks from Sub-Optimal Demonstrations

Apr 01, 2020
Zhuangdi Zhu, Kaixiang Lin, Bo Dai, Jiayu Zhou


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Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation

Mar 31, 2020
Xingang Pan, Xiaohang Zhan, Bo Dai, Dahua Lin, Chen Change Loy, Ping Luo

* 1) Precise GAN-inversion by discriminator-guided generator finetuning. 2) A versatile way for high-quality image restoration and manipulation. Code: https://github.com/XingangPan/deep-generative-prior 

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Energy-Based Processes for Exchangeable Data

Mar 17, 2020
Mengjiao Yang, Bo Dai, Hanjun Dai, Dale Schuurmans


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Batch Stationary Distribution Estimation

Mar 02, 2020
Junfeng Wen, Bo Dai, Lihong Li, Dale Schuurmans


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GenDICE: Generalized Offline Estimation of Stationary Values

Feb 21, 2020
Ruiyi Zhang, Bo Dai, Lihong Li, Dale Schuurmans

* ICLR 2020 

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Differentiable Top-k Operator with Optimal Transport

Feb 18, 2020
Yujia Xie, Hanjun Dai, Minshuo Chen, Bo Dai, Tuo Zhao, Hongyuan Zha, Wei Wei, Tomas Pfister


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Real or Not Real, that is the Question

Feb 12, 2020
Yuanbo Xiangli, Yubin Deng, Bo Dai, Chen Change Loy, Dahua Lin

* ICLR2020 spotlight. 1) train GAN by maximizing kl-divergence. 2) train non-progressive GAN (DCGAN) architecture at 1024*1024 resolution 

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Reinforcement Learning via Fenchel-Rockafellar Duality

Jan 09, 2020
Ofir Nachum, Bo Dai


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Retrosynthesis Prediction with Conditional Graph Logic Network

Jan 06, 2020
Hanjun Dai, Chengtao Li, Connor W. Coley, Bo Dai, Le Song

* NeurIPS 2019 

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AlgaeDICE: Policy Gradient from Arbitrary Experience

Dec 04, 2019
Ofir Nachum, Bo Dai, Ilya Kostrikov, Yinlam Chow, Lihong Li, Dale Schuurmans


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Overcoming Catastrophic Forgetting by Generative Regularization

Dec 03, 2019
Patrick H. Chen, Wei Wei, Cho-jui, Hsieh, Bo Dai


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Energy-Inspired Models: Learning with Sampler-Induced Distributions

Oct 31, 2019
Dieterich Lawson, George Tucker, Bo Dai, Rajesh Ranganath


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Recursive Visual Sound Separation Using Minus-Plus Net

Aug 30, 2019
Xudong Xu, Bo Dai, Dahua Lin

* accepted by ICCV2019 

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