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Last-Layer Fairness Fine-tuning is Simple and Effective for Neural
  Networks

Last-Layer Fairness Fine-tuning is Simple and Effective for Neural Networks

8 April 2023
Yuzhen Mao
Zhun Deng
Huaxiu Yao
Ting Ye
Kenji Kawaguchi
James Y. Zou
ArXivPDFHTML

Papers citing "Last-Layer Fairness Fine-tuning is Simple and Effective for Neural Networks"

4 / 4 papers shown
Title
Mind the Graph When Balancing Data for Fairness or Robustness
Mind the Graph When Balancing Data for Fairness or Robustness
Jessica Schrouff
Alexis Bellot
Amal Rannen-Triki
Alan Malek
Isabela Albuquerque
A. Gretton
Alexander DÁmour
Silvia Chiappa
OOD
CML
24
1
0
25 Jun 2024
An Unconstrained Layer-Peeled Perspective on Neural Collapse
An Unconstrained Layer-Peeled Perspective on Neural Collapse
Wenlong Ji
Yiping Lu
Yiliang Zhang
Zhun Deng
Weijie J. Su
122
65
0
06 Oct 2021
Learning Adversarially Fair and Transferable Representations
Learning Adversarially Fair and Transferable Representations
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
205
663
0
17 Feb 2018
Fair prediction with disparate impact: A study of bias in recidivism
  prediction instruments
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
Alexandra Chouldechova
FaML
185
2,079
0
24 Oct 2016
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