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A collection of the accepted abstracts for the Machine Learning for Health (ML4H) symposium 2021


Nov 30, 2021
Fabian Falck, Yuyin Zhou, Emma Rocheteau, Liyue Shen, Luis Oala, Girmaw Abebe, Subhrajit Roy, Stephen Pfohl, Emily Alsentzer, Matthew B. A. McDermott


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More Than Meets The Eye: Semi-supervised Learning Under Non-IID Data


Apr 20, 2021
Saul Calderon-Ramirez, Luis Oala

* Presented as a RobustML workshop paper at ICLR 2021. Both authors contributed equally. This article extends arXiv:2006.07767 

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Post-Hoc Domain Adaptation via Guided Data Homogenization


Apr 08, 2021
Kurt Willis, Luis Oala

* Published as a conference paper at ICLR 2021; 4 pages, plus appendix, 5 figures 

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MixMOOD: A systematic approach to class distribution mismatch in semi-supervised learning using deep dataset dissimilarity measures


Jun 14, 2020
Saul Calderon-Ramirez, Luis Oala, Jordina Torrents-Barrena, Shengxiang Yang, Armaghan Moemeni, Wojciech Samek, Miguel A. Molina-Cabello

* The first two authors made equal contribution 

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Interval Neural Networks as Instability Detectors for Image Reconstructions


Mar 27, 2020
Jan Macdonald, Maximilian März, Luis Oala, Wojciech Samek

* JM, MM and LO contributed equally 

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Interval Neural Networks: Uncertainty Scores


Mar 25, 2020
Luis Oala, Cosmas Heiß, Jan Macdonald, Maximilian März, Wojciech Samek, Gitta Kutyniok

* LO and CH contributed equally 

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