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FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in
  Medical Image Analysis

FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis

8 October 2023
Raman Dutt
Ondrej Bohdal
Sotirios A. Tsaftaris
Timothy M. Hospedales
ArXivPDFHTML

Papers citing "FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis"

12 / 12 papers shown
Title
Rethinking Fair Representation Learning for Performance-Sensitive Tasks
Rethinking Fair Representation Learning for Performance-Sensitive Tasks
Charles Jones
Fabio De Sousa Ribeiro
Mélanie Roschewitz
Daniel Coelho De Castro
Ben Glocker
FaML
OOD
CML
107
1
0
05 Oct 2024
On Biases in a UK Biobank-based Retinal Image Classification Model
On Biases in a UK Biobank-based Retinal Image Classification Model
A. Alloula
Rima Mustafa
Daniel R. McGowan
Bartlomiej W. Papie.z
32
1
0
30 Jul 2024
Embedded Visual Prompt Tuning
Embedded Visual Prompt Tuning
Wenqiang Zu
Shenghao Xie
Qing Zhao
Guoqi Li
Lei Ma
VLM
MedIm
44
9
0
01 Jul 2024
Customized Segment Anything Model for Medical Image Segmentation
Customized Segment Anything Model for Medical Image Segmentation
Kaiwen Zhang
Dong Liu
MedIm
VLM
95
286
0
26 Apr 2023
MEDFAIR: Benchmarking Fairness for Medical Imaging
MEDFAIR: Benchmarking Fairness for Medical Imaging
Yongshuo Zong
Yongxin Yang
Timothy M. Hospedales
OOD
71
58
0
04 Oct 2022
A Systematic Study of Bias Amplification
A Systematic Study of Bias Amplification
Melissa Hall
L. V. D. van der Maaten
Laura Gustafson
Maxwell Jones
Aaron B. Adcock
92
70
0
27 Jan 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
258
7,412
0
11 Nov 2021
Core-set Sampling for Efficient Neural Architecture Search
Core-set Sampling for Efficient Neural Architecture Search
Jaewoong Shim
Kyeongbo Kong
Suk-Ju Kang
129
23
0
08 Jul 2021
Evaluating Deep Neural Networks Trained on Clinical Images in
  Dermatology with the Fitzpatrick 17k Dataset
Evaluating Deep Neural Networks Trained on Clinical Images in Dermatology with the Fitzpatrick 17k Dataset
Matthew Groh
Caleb Harris
L. Soenksen
Felix Lau
Rachel Han
Aerin Kim
A. Koochek
Omar Badri
104
180
0
20 Apr 2021
SWAD: Domain Generalization by Seeking Flat Minima
SWAD: Domain Generalization by Seeking Flat Minima
Junbum Cha
Sanghyuk Chun
Kyungjae Lee
Han-Cheol Cho
Seunghyun Park
Yunsung Lee
Sungrae Park
MoMe
216
423
0
17 Feb 2021
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
294
4,187
0
23 Aug 2019
Learning Adversarially Fair and Transferable Representations
Learning Adversarially Fair and Transferable Representations
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
213
673
0
17 Feb 2018
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