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CheXpert++: Approximating the CheXpert Labeler for Speed, Differentiability, and Probabilistic Output

Matthew B. A. McDermott, Tzu-Ming Harry Hsu, Wei-Hung Weng, Marzyeh Ghassemi, Peter Szolovits. CheXpert++: Approximating the CheXpert Labeler for Speed, Differentiability, and Probabilistic Output. In Finale Doshi-Velez, Jim Fackler, Ken Jung, David C. Kale, Rajesh Ranganath, Byron C. Wallace, Jenna Wiens, editors, Proceedings of the Machine Learning for Healthcare Conference, MLHC 2020, 7-8 August 2020, Virtual Event, Durham, NC, USA. Volume 126 of Proceedings of Machine Learning Research, pages 913-927, PMLR, 2020. [doi]

Authors

Matthew B. A. McDermott

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Tzu-Ming Harry Hsu

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Wei-Hung Weng

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Marzyeh Ghassemi

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Peter Szolovits

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