Synthetic Simplicity: Unveiling Bias in Medical Data Augmentation

31 July 2024

Papers citing "Synthetic Simplicity: Unveiling Bias in Medical Data Augmentation"

5 / 5 papers shown

Title
Generative models improve fairness of medical classifiers under distribution shifts Ira Ktena Olivia Wiles Isabela Albuquerque Sylvestre-Alvise Rebuffi Ryutaro Tanno ... Danielle Belgrave Pushmeet Kohli Alan Karthikesalingam A. Cemgil Sven Gowal OOD MedIm 191 91 0 18 Apr 2023
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 271 7,958 0 11 May 2021
The Pitfalls of Simplicity Bias in Neural Networks Harshay Shah Kaustav Tamuly Aditi Raghunathan Prateek Jain Praneeth Netrapalli AAML 72 364 0 13 Jun 2020
Hidden Stratification Causes Clinically Meaningful Failures in Machine Learning for Medical Imaging Luke Oakden-Rayner Jared A. Dunnmon G. Carneiro Christopher Ré OOD 76 384 0 27 Sep 2019
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 312 7,031 0 12 Mar 2015