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From Discrete to Continuous: Deep Fair Clustering With Transferable
  Representations

From Discrete to Continuous: Deep Fair Clustering With Transferable Representations

24 March 2024
Xiang Zhang
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Papers citing "From Discrete to Continuous: Deep Fair Clustering With Transferable Representations"

4 / 4 papers shown
Title
Scalable Infomin Learning
Scalable Infomin Learning
Yanzhi Chen
Wei-Der Sun
Yingzhen Li
Adrian Weller
72
8
0
21 Feb 2023
Fair Representation Learning through Implicit Path Alignment
Fair Representation Learning through Implicit Path Alignment
Changjian Shui
Qi Chen
Jiaqi Li
Boyu Wang
Christian Gagné
41
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
311
4,203
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
233
673
0
17 Feb 2018
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