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Personalized Federated Learning with First Order Model Optimization

Jan 28, 2021
Michael Zhang, Karan Sapra, Sanja Fidler, Serena Yeung, Jose M. Alvarez

* ICLR 2021 

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Using Computer Vision to Automate Hand Detection and Tracking of Surgeon Movements in Videos of Open Surgery

Dec 13, 2020
Michael Zhang, Xiaotian Cheng, Daniel Copeland, Arjun Desai, Melody Y. Guan, Gabriel A. Brat, Serena Yeung

* AMIA 2020 Annual Symposium 

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Characterizing Policy Divergence for Personalized Meta-Reinforcement Learning

Oct 09, 2020
Michael Zhang

* Deep Reinforcement Learning Workshop, NeurIPS 2019; Workshop on Meta-Learning (Meta-Learn), NeurIPS 2019 

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Soft Multicopter Control using Neural Dynamics Identification

Sep 02, 2020
Yitong Deng, Yaorui Zhang, Xingzhe He, Shuqi Yang, Yunjin Tong, Michael Zhang, Daniel DiPietro, Bo Zhu

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Patient-Specific Effects of Medication Using Latent Force Models with Gaussian Processes

Jun 01, 2019
Li-Fang Cheng, Bianca Dumitrascu, Michael Zhang, Corey Chivers, Michael Draugelis, Kai Li, Barbara E. Engelhardt

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Deep Weighted Averaging Classifiers

Nov 18, 2018
Dallas Card, Michael Zhang, Noah A. Smith

* 13 pages, 8 figures, 5 tables, added DOI and updated to meet ACM formatting requirements, In Proceedings of FAT* (2019) 

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Reverse Curriculum Generation for Reinforcement Learning

Jul 23, 2018
Carlos Florensa, David Held, Markus Wulfmeier, Michael Zhang, Pieter Abbeel

* Published at the 1st Conference on Robot Learning (CoRL 2017) 

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Probabilistically Safe Policy Transfer

May 15, 2017
David Held, Zoe McCarthy, Michael Zhang, Fred Shentu, Pieter Abbeel

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