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Back to the Drawing Board for Fair Representation Learning

Back to the Drawing Board for Fair Representation Learning

28 May 2024
Angeline Pouget
Nikola Jovanović
Mark Vero
Robin Staab
Martin Vechev
ArXivPDFHTML

Papers citing "Back to the Drawing Board for Fair Representation Learning"

3 / 3 papers shown
Title
Fair Representation Learning through Implicit Path Alignment
Fair Representation Learning through Implicit Path Alignment
Changjian Shui
Qi Chen
Jiaqi Li
Boyu Wang
Christian Gagné
36
28
0
26 May 2022
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
669
0
17 Feb 2018
1