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RepFair-GAN: Mitigating Representation Bias in GANs Using Gradient
  Clipping

RepFair-GAN: Mitigating Representation Bias in GANs Using Gradient Clipping

13 July 2022
Patrik Kenfack
Kamil Sabbagh
Adín Ramirez Rivera
A. Khan
ArXivPDFHTML

Papers citing "RepFair-GAN: Mitigating Representation Bias in GANs Using Gradient Clipping"

5 / 5 papers shown
Title
ITI-GEN: Inclusive Text-to-Image Generation
ITI-GEN: Inclusive Text-to-Image Generation
Cheng Zhang
Xuanbai Chen
Siqi Chai
Chen Henry Wu
Dmitry Lagun
Thabo Beeler
Fernando de la Torre
VLM
43
53
0
11 Sep 2023
Improving the Fairness of Deep Generative Models without Retraining
Improving the Fairness of Deep Generative Models without Retraining
Shuhan Tan
Yujun Shen
Bolei Zhou
183
59
0
09 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
361
4,237
0
23 Aug 2019
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
345
10,391
0
12 Dec 2018
Learning Adversarially Fair and Transferable Representations
Learning Adversarially Fair and Transferable Representations
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
236
676
0
17 Feb 2018
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