Hidden Stratification Causes Clinically Meaningful Failures in Machine
Learning for Medical Imaging

Hidden Stratification Causes Clinically Meaningful Failures in Machine Learning for Medical Imaging

27 September 2019

Luke Oakden-Rayner

Jared A. Dunnmon

Christopher Ré

Papers citing "Hidden Stratification Causes Clinically Meaningful Failures in Machine Learning for Medical Imaging"

13 / 163 papers shown

Title
Machine Learning Systems for Intelligent Services in the IoT: A Survey Wiebke Toussaint Aaron Yi Ding LRM 30 0 0 29 May 2020
Learning Global and Local Features of Normal Brain Anatomy for Unsupervised Abnormality Detection Kazuma Kobayashi Ryuichiro Hataya Y. Kurose Amina Bolatkan M. Miyake Hirokazu Watanabe Masamichi Takahashi J. Itami Tatsuya Harada Ryuji Hamamoto MedIm 6 1 0 26 May 2020
Model-Based Robust Deep Learning: Generalizing to Natural, Out-of-Distribution Data Alexander Robey Hamed Hassani George J. Pappas OOD 43 42 0 20 May 2020
A Survey of Deep Learning for Scientific Discovery M. Raghu Erica Schmidt OOD AI4CE 40 120 0 26 Mar 2020
PanNuke Dataset Extension, Insights and Baselines Jevgenij Gamper Navid Alemi Koohbanani Ksenija Benes S. Graham Mostafa Jahanifar S. Khurram A. Azam K. Hewitt Nasir M. Rajpoot 124 175 0 24 Mar 2020
It's Not What Machines Can Learn, It's What We Cannot Teach Gal Yehuda Moshe Gabel Assaf Schuster FaML 14 37 0 21 Feb 2020
Diversity sampling is an implicit regularization for kernel methods Michaël Fanuel J. Schreurs Johan A. K. Suykens 21 14 0 20 Feb 2020
Distributionally Robust Deep Learning using Hardness Weighted Sampling Lucas Fidon Michael Aertsen Thomas Deprest Doaa Emam Frédéric Guffens ... Andrew Melbourne Sébastien Ourselin Jan Deprest Georg Langs Tom Kamiel Magda Vercauteren OOD 22 10 0 08 Jan 2020
Clinical XLNet: Modeling Sequential Clinical Notes and Predicting Prolonged Mechanical Ventilation Kexin Huang Abhishek Singh Sitong Chen E. Moseley Chih-ying Deng Naomi George C. Lindvall 61 57 0 27 Dec 2019
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization Shiori Sagawa Pang Wei Koh Tatsunori B. Hashimoto Percy Liang OOD 16 1,200 0 20 Nov 2019
Who wants accurate models? Arguing for a different metrics to take classification models seriously F. Cabitza Andrea Campagner 14 10 0 21 Oct 2019
Slice-based Learning: A Programming Model for Residual Learning in Critical Data Slices V. Chen Sen Wu Zhenzhen Weng Alexander Ratner Christopher Ré 18 56 0 13 Sep 2019
Nyström landmark sampling and regularized Christoffel functions Michaël Fanuel J. Schreurs Johan A. K. Suykens 18 10 0 29 May 2019