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Transformer-Based Models for Question Answering on COVID19


Jan 16, 2021
Hillary Ngai, Yoona Park, John Chen, Mahboobeh Parsapoor

* 7 pages, 3 figures, 1 table 

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ImCLR: Implicit Contrastive Learning for Image Classification


Nov 25, 2020
John Chen, Samarth Sinha, Anastasios Kyrillidis


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Exploring Text Specific and Blackbox Fairness Algorithms in Multimodal Clinical NLP


Nov 19, 2020
John Chen, Ian Berlot-Atwell, Safwan Hossain, Xindi Wang, Frank Rudzicz

* Proceedings of the 3rd Clinical Natural Language Processing Workshop (2020), pages 301--312 
* Best paper award at 3rd Clinical Natural Language Processing Workshop at EMNLP 2020 

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STORM: Foundations of End-to-End Empirical Risk Minimization on the Edge


Jun 25, 2020
Benjamin Coleman, Gaurav Gupta, John Chen, Anshumali Shrivastava


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Negative sampling in semi-supervised learning


Nov 12, 2019
John Chen, Vatsal Shah, Anastasios Kyrillidis


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Decaying momentum helps neural network training


Oct 11, 2019
John Chen, Anastasios Kyrillidis


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Bootstrapping Multilingual Intent Models via Machine Translation for Dialog Automation


May 11, 2018
Nicholas Ruiz, Srinivas Bangalore, John Chen

* 6 pages, 3 figures, accepted for publication at the 2018 European Association for Machine Translation Conference (EAMT 2018) 

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