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Improving the Fairness of Deep Generative Models without Retraining

Improving the Fairness of Deep Generative Models without Retraining

9 December 2020
Shuhan Tan
Yujun Shen
Bolei Zhou
ArXivPDFHTML

Papers citing "Improving the Fairness of Deep Generative Models without Retraining"

4 / 4 papers shown
Title
Fairness in Machine Learning
Fairness in Machine Learning
L. Oneto
Silvia Chiappa
FaML
223
454
0
31 Dec 2020
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of
  Generative Models
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
Sachit Menon
Alexandru Damian
Shijia Hu
Nikhil Ravi
Cynthia Rudin
OOD
DiffM
154
486
0
08 Mar 2020
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
246
8,946
0
12 Dec 2018
A statistical framework for fair predictive algorithms
A statistical framework for fair predictive algorithms
K. Lum
J. Johndrow
FaML
160
94
0
25 Oct 2016
1