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Synthetic Simplicity: Unveiling Bias in Medical Data Augmentation

Synthetic Simplicity: Unveiling Bias in Medical Data Augmentation

Krishan Agyakari Raja Babu
R. Sathish
Mrunal Pattanaik
Rahul Venkataramani
ArXiv (abs)PDFHTML

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
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
OODMedIm
191
91
0
18 Apr 2023
Diffusion Models Beat GANs on Image Synthesis
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
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
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
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Jascha Narain Sohl-Dickstein
Eric A. Weiss
Niru Maheswaranathan
Surya Ganguli
SyDaDiffM
312
7,031
0
12 Mar 2015

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