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Semi-FairVAE: Semi-supervised Fair Representation Learning with
  Adversarial Variational Autoencoder

Semi-FairVAE: Semi-supervised Fair Representation Learning with Adversarial Variational Autoencoder

1 April 2022
Chuhan Wu
Fangzhao Wu
Tao Qi
Yongfeng Huang
    DRL
ArXivPDFHTML

Papers citing "Semi-FairVAE: Semi-supervised Fair Representation Learning with Adversarial Variational Autoencoder"

5 / 5 papers shown
Title
Learning Fair Representations with High-Confidence Guarantees
Learning Fair Representations with High-Confidence Guarantees
Yuhong Luo
Austin Hoag
Philip S Thomas
FaML
AI4TS
53
0
0
23 Oct 2023
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey
Max Hort
Zhenpeng Chen
Jie M. Zhang
Mark Harman
Federica Sarro
FaML
AI4CE
33
162
0
14 Jul 2022
Fairness in Machine Learning
Fairness in Machine Learning
L. Oneto
Silvia Chiappa
FaML
256
492
0
31 Dec 2020
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
349
4,237
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
676
0
17 Feb 2018
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