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Fair Representations by Compression

Fair Representations by Compression

28 May 2021
Xavier Gitiaux
Huzefa Rangwala
    FaML
ArXivPDFHTML

Papers citing "Fair Representations by Compression"

9 / 9 papers shown
Title
Differential Adjusted Parity for Learning Fair Representations
Differential Adjusted Parity for Learning Fair Representations
Bucher Sahyouni
Matthew Vowels
Liqun Chen
Simon Hadfield
FaML
89
0
0
13 Feb 2025
The Pursuit of Fairness in Artificial Intelligence Models: A Survey
The Pursuit of Fairness in Artificial Intelligence Models: A Survey
Tahsin Alamgir Kheya
Mohamed Reda Bouadjenek
Sunil Aryal
28
8
0
26 Mar 2024
Ex-Ante Assessment of Discrimination in Dataset
Ex-Ante Assessment of Discrimination in Dataset
Jonathan Vasquez Verdugo
Xavier Gitiaux
Huzefa Rangwala
21
0
0
16 Aug 2022
SoFaiR: Single Shot Fair Representation Learning
SoFaiR: Single Shot Fair Representation Learning
Xavier Gitiaux
Huzefa Rangwala
23
4
0
26 Apr 2022
Ultra-marginal Feature Importance: Learning from Data with Causal
  Guarantees
Ultra-marginal Feature Importance: Learning from Data with Causal Guarantees
Joseph Janssen
Vincent Guan
Elina Robeva
17
7
0
21 Apr 2022
Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in
  Deep Metric Learning
Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in Deep Metric Learning
Natalie Dullerud
Karsten Roth
Kimia Hamidieh
Nicolas Papernot
Marzyeh Ghassemi
24
15
0
23 Mar 2022
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
Revisiting Classifier Two-Sample Tests
Revisiting Classifier Two-Sample Tests
David Lopez-Paz
Maxime Oquab
78
390
0
20 Oct 2016
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
233
2,545
0
25 Jan 2016
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