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Fast and Memory Efficient Differentially Private-SGD via JL Projections


Feb 05, 2021
Zhiqi Bu, Sivakanth Gopi, Janardhan Kulkarni, Yin Tat Lee, Judy Hanwen Shen, Uthaipon Tantipongpipat


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Human-centric Dialog Training via Offline Reinforcement Learning


Oct 12, 2020
Natasha Jaques, Judy Hanwen Shen, Asma Ghandeharioun, Craig Ferguson, Agata Lapedriza, Noah Jones, Shixiang Shane Gu, Rosalind Picard

* To appear in EMNLP 2020 (long paper) 

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Differentially Private Set Union


Feb 22, 2020
Sivakanth Gopi, Pankaj Gulhane, Janardhan Kulkarni, Judy Hanwen Shen, Milad Shokouhi, Sergey Yekhanin

* 23 pages, 7 figures 

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Hierarchical Reinforcement Learning for Open-Domain Dialog


Sep 18, 2019
Abdelrhman Saleh, Natasha Jaques, Asma Ghandeharioun, Judy Hanwen Shen, Rosalind Picard


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Way Off-Policy Batch Deep Reinforcement Learning of Implicit Human Preferences in Dialog


Jul 08, 2019
Natasha Jaques, Asma Ghandeharioun, Judy Hanwen Shen, Craig Ferguson, Agata Lapedriza, Noah Jones, Shixiang Gu, Rosalind Picard


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Approximating Interactive Human Evaluation with Self-Play for Open-Domain Dialog Systems


Jun 21, 2019
Asma Ghandeharioun, Judy Hanwen Shen, Natasha Jaques, Craig Ferguson, Noah Jones, Agata Lapedriza, Rosalind Picard


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Comparing Models of Associative Meaning: An Empirical Investigation of Reference in Simple Language Games


Oct 08, 2018
Judy Hanwen Shen, Matthias Hofer, Bjarke Felbo, Roger Levy

* Conference on Computational Natural Language Learning (CoNLL) 2018 

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Closing the AI Knowledge Gap


Mar 20, 2018
Ziv Epstein, Blakeley H. Payne, Judy Hanwen Shen, Abhimanyu Dubey, Bjarke Felbo, Matthew Groh, Nick Obradovich, Manuel Cebrian, Iyad Rahwan

* 8 pages, 3 figures, under review 

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