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Nearly Horizon-Free Offline Reinforcement Learning


Mar 25, 2021
Tongzheng Ren, Jialian Li, Bo Dai, Simon S. Du, Sujay Sanghavi


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DeepStyle: User Style Embedding for Authorship Attribution of Short Texts


Mar 14, 2021
Zhiqiang Hu, Roy Ka-Wei Lee, Lei Wang, Ee-Peng Lim, Bo Dai

* Paper accepted for 4th APWeb-WAIM Joint Conference on Web and Big Data 

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Towards Automatic Evaluation of Dialog Systems: A Model-Free Off-Policy Evaluation Approach


Feb 28, 2021
Haoming Jiang, Bo Dai, Mengjiao Yang, Tuo Zhao, Wei Wei


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Off-Policy Imitation Learning from Observations


Feb 25, 2021
Zhuangdi Zhu, Kaixiang Lin, Bo Dai, Jiayu Zhou


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Focal Frequency Loss for Generative Models


Dec 23, 2020
Liming Jiang, Bo Dai, Wayne Wu, Chen Change Loy

* GitHub: https://github.com/EndlessSora/focal-frequency-loss 

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Offline Policy Selection under Uncertainty


Dec 12, 2020
Mengjiao Yang, Bo Dai, Ofir Nachum, George Tucker, Dale Schuurmans


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Learning Discrete Energy-based Models via Auxiliary-variable Local Exploration


Nov 10, 2020
Hanjun Dai, Rishabh Singh, Bo Dai, Charles Sutton, Dale Schuurmans

* NeurIPS 2020 

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Do 2D GANs Know 3D Shape? Unsupervised 3D shape reconstruction from 2D Image GANs


Nov 02, 2020
Xingang Pan, Bo Dai, Ziwei Liu, Chen Change Loy, Ping Luo


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Named Entity Recognition for Social Media Texts with Semantic Augmentation


Oct 29, 2020
Yuyang Nie, Yuanhe Tian, Xiang Wan, Yan Song, Bo Dai

* Natural Language Processing. 9 pages, 3 figures. EMNLP-2020 

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CoinDICE: Off-Policy Confidence Interval Estimation


Oct 22, 2020
Bo Dai, Ofir Nachum, Yinlam Chow, Lihong Li, Csaba Szepesvári, 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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