Preventing dataset shift from breaking machine-learning biomarkers

21 July 2021

Papers citing "Preventing dataset shift from breaking machine-learning biomarkers"

21 / 21 papers shown

Title
Automatic quality control in multi-centric fetal brain MRI super-resolution reconstruction Thomas Sanchez Vladyslav Zalevsky Angeline Mihailo Gerard Martí Juan E. Eixarch Andras Jakab Vincent Dunet Mériam Koob G. Auzias Meritxell Bach Cuadra 70 0 0 13 Mar 2025
Distributionally Robust Losses for Latent Covariate Mixtures John C. Duchi Tatsunori Hashimoto Hongseok Namkoong 47 81 0 28 Jul 2020
Kernel Distributionally Robust Optimization Jia Jie Zhu Wittawat Jitkrittum Moritz Diehl Bernhard Schölkopf 58 16 0 12 Jun 2020
Risk of Training Diagnostic Algorithms on Data with Demographic Bias Samaneh Abbasi-Sureshjani Ralf Raumanns B. Michels Gerard Schouten Veronika Cheplygina FaML 45 36 0 20 May 2020
Out-of-Distribution Generalization via Risk Extrapolation (REx) David M. Krueger Ethan Caballero J. Jacobsen Amy Zhang Jonathan Binas Dinghuai Zhang Rémi Le Priol Aaron Courville OOD 298 931 0 02 Mar 2020
Machine Learning with Multi-Site Imaging Data: An Empirical Study on the Impact of Scanner Effects Ben Glocker Robert Robinson Daniel Coelho De Castro Qi Dou E. Konukoglu 38 91 0 10 Oct 2019
Hidden Stratification Causes Clinically Meaningful Failures in Machine Learning for Medical Imaging Luke Oakden-Rayner Jared A. Dunnmon G. Carneiro Christopher Ré OOD 61 379 0 27 Sep 2019
A review of domain adaptation without target labels Wouter M. Kouw Marco Loog OOD VLM 34 486 0 16 Jan 2019
Learning Models with Uniform Performance via Distributionally Robust Optimization John C. Duchi Hongseok Namkoong OOD 55 416 0 20 Oct 2018
Fairness Without Demographics in Repeated Loss Minimization Tatsunori B. Hashimoto Megha Srivastava Hongseok Namkoong Percy Liang FaML 95 582 0 20 Jun 2018
Data Augmentation Generative Adversarial Networks Antreas Antoniou Amos Storkey Harrison Edwards MedIm GAN 129 1,070 0 12 Nov 2017
Emergence of Invariance and Disentanglement in Deep Representations Alessandro Achille Stefano Soatto OOD DRL 85 476 0 05 Jun 2017
Adversarial Discriminative Domain Adaptation Eric Tzeng Judy Hoffman Kate Saenko Trevor Darrell GAN OOD 252 4,653 0 17 Feb 2017
Variance-based regularization with convex objectives John C. Duchi Hongseok Namkoong 64 348 0 08 Oct 2016
Return of Frustratingly Easy Domain Adaptation Baochen Sun Jiashi Feng Kate Saenko OOD 79 1,838 0 17 Nov 2015
Optimal Transport for Domain Adaptation Nicolas Courty Rémi Flamary D. Tuia A. Rakotomamonjy OT OOD 108 1,117 0 02 Jul 2015
Learning Transferable Features with Deep Adaptation Networks Mingsheng Long Yue Cao Jianmin Wang Michael I. Jordan OOD 213 5,189 0 10 Feb 2015
On Causal and Anticausal Learning Bernhard Schölkopf Dominik Janzing J. Peters Eleni Sgouritsa Kun Zhang Joris Mooij CML 81 607 0 27 Jun 2012
A survey of cross-validation procedures for model selection Sylvain Arlot Alain Celisse 179 3,587 0 27 Jul 2009
Empirical Bernstein Bounds and Sample Variance Penalization Andreas Maurer Massimiliano Pontil 256 542 0 21 Jul 2009
Sample Selection Bias Correction Theory Corinna Cortes M. Mohri Michael Riley Afshin Rostamizadeh 98 348 0 19 May 2008