ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2408.06890
  4. Cited By
BMFT: Achieving Fairness via Bias-based Weight Masking Fine-tuning

BMFT: Achieving Fairness via Bias-based Weight Masking Fine-tuning

13 August 2024
Yuyang Xue
Junyu Yan
Raman Dutt
Fasih Haider
Jingshuai Liu
Steven G. McDonagh
Sotirios A. Tsaftaris
ArXivPDFHTML

Papers citing "BMFT: Achieving Fairness via Bias-based Weight Masking Fine-tuning"

3 / 3 papers shown
Title
Pruning has a disparate impact on model accuracy
Pruning has a disparate impact on model accuracy
Cuong Tran
Ferdinando Fioretto
Jung-Eun Kim
Rakshit Naidu
32
37
0
26 May 2022
Skin Deep Unlearning: Artefact and Instrument Debiasing in the Context
  of Melanoma Classification
Skin Deep Unlearning: Artefact and Instrument Debiasing in the Context of Melanoma Classification
P. Bevan
Amir Atapour-Abarghouei
MU
37
18
0
20 Sep 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
99
178
0
20 Apr 2021
1