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Reward Shaping for User Satisfaction in a REINFORCE Recommender


Sep 30, 2022
Konstantina Christakopoulou, Can Xu, Sai Zhang, Sriraj Badam, Trevor Potter, Daniel Li, Hao Wan, Xinyang Yi, Ya Le, Chris Berg, Eric Bencomo Dixon, Ed H. Chi, Minmin Chen

* Accepted in Reinforcement Learning for Real Life (RL4RealLife) Workshop in the 38th International Conference on Machine Learning, 2021 

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A Slot Is Not Built in One Utterance: Spoken Language Dialogs with Sub-Slots


Mar 21, 2022
Sai Zhang, Yuwei Hu, Yuchuan Wu, Jiaman Wu, Yongbin Li, Jian Sun, Caixia Yuan, Xiaojie Wang

* Accepted by ACL 2022 Findings 

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Understanding the Energy and Precision Requirements for Online Learning


Aug 26, 2016
Charbel Sakr, Ameya Patil, Sai Zhang, Yongjune Kim, Naresh Shanbhag

* 14 pages, 5 figures 4 of which have 2 subfigures 

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Error-Resilient Machine Learning in Near Threshold Voltage via Classifier Ensemble


Jul 03, 2016
Sai Zhang, Naresh Shanbhag


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Elastic regularization in restricted Boltzmann machines: Dealing with $p\gg N$


Oct 21, 2015
Sai Zhang

* This paper has been withdrawn by the author due to a critical error 

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Partitioning Large Scale Deep Belief Networks Using Dropout


Aug 28, 2015
Yanping Huang, Sai Zhang

* arXiv admin note: text overlap with arXiv:1207.0580 by other authors 

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