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

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

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Title
A Multi-Objective Evaluation Framework for Analyzing Utility-Fairness Trade-Offs in Machine Learning Systems Gökhan Özbulak Oscar Jimenez-del-Toro Maíra Fatoretto Lilian Berton André Anjos FaML 63 0 0 14 Mar 2025
Fairness-Aware Low-Rank Adaptation Under Demographic Privacy Constraints Parameswaran Kamalaruban Mark Anderson Stuart Burrell Maeve Madigan Piotr Skalski David Sutton 57 0 0 07 Mar 2025
Capacity Control is an Effective Memorization Mitigation Mechanism in Text-Conditional Diffusion Models Raman Dutt Pedro Sanchez Ondrej Bohdal Sotirios A. Tsaftaris Timothy M. Hospedales 34 1 0 29 Oct 2024
FairLoRA: Unpacking Bias Mitigation in Vision Models with Fairness-Driven Low-Rank Adaptation Rohan Sukumaran Aarash Feizi Adriana Romero-Sorian G. Farnadi 39 1 0 22 Oct 2024
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 146 1 0 05 Oct 2024
BMFT: Achieving Fairness via Bias-based Weight Masking Fine-tuning Yuyang Xue Junyu Yan Raman Dutt Fasih Haider Jingshuai Liu Jingyu Sun Sotirios A. Tsaftaris 32 1 0 13 Aug 2024
On Biases in a UK Biobank-based Retinal Image Classification Model A. Alloula Rima Mustafa Daniel R. McGowan Bartlomiej W. Papie.z 45 1 0 30 Jul 2024
FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models Ruinan Jin Zikang Xu Yuan Zhong Qiongsong Yao Qi Dou S. Kevin Zhou Xiaoxiao Li VLM 32 13 0 01 Jul 2024
Embedded Visual Prompt Tuning Wenqiang Zu Shenghao Xie Qing Zhao Guoqi Li Lei Ma VLM MedIm 54 9 0 01 Jul 2024
OxonFair: A Flexible Toolkit for Algorithmic Fairness Eoin Delaney Zihao Fu Sandra Wachter Brent Mittelstadt Chris Russell FaML 61 3 0 30 Jun 2024
MemControl: Mitigating Memorization in Diffusion Models via Automated Parameter Selection Raman Dutt Pedro Sanchez Ondrej Bohdal Sotirios A. Tsaftaris Timothy M. Hospedales MedIm 36 0 0 29 May 2024
Parameter Efficient Fine Tuning: A Comprehensive Analysis Across Applications Charith Chandra Sai Balne S. Bhaduri Tamoghna Roy Vinija Jain Aman Chadha 40 12 0 21 Apr 2024
Customized Segment Anything Model for Medical Image Segmentation Kaiwen Zhang Dong Liu MedIm VLM 106 286 0 26 Apr 2023
MEDFAIR: Benchmarking Fairness for Medical Imaging Yongshuo Zong Yongxin Yang Timothy M. Hospedales OOD 79 59 0 04 Oct 2022
Addressing Fairness Issues in Deep Learning-Based Medical Image Analysis: A Systematic Review Zikang Xu Jun Li Yongshuo Zong Han Li Qingsong Yao S. Kevin Zhou 49 15 0 27 Sep 2022
A Systematic Study of Bias Amplification Melissa Hall L. V. D. van der Maaten Laura Gustafson Maxwell Jones Aaron B. Adcock 102 70 0 27 Jan 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 311 7,457 0 11 Nov 2021
Core-set Sampling for Efficient Neural Architecture Search Jaewoong Shim Kyeongbo Kong Suk-Ju Kang 140 23 0 08 Jul 2021
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 112 182 0 20 Apr 2021
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 Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 329 4,223 0 23 Aug 2019
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 233 674 0 17 Feb 2018