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Measuring Fairness in Generative Models

Measuring Fairness in Generative Models

16 July 2021
Christopher T. H. Teo
Ngai-Man Cheung
    SyDa
ArXivPDFHTML

Papers citing "Measuring Fairness in Generative Models"

22 / 22 papers shown
Title
Improving Fairness in LLMs Through Testing-Time Adversaries
Improving Fairness in LLMs Through Testing-Time Adversaries
Isabela Pereira Gregio
Ian Pons
Anna Helena Reali Costa
Artur Jordao
AAML
70
0
0
17 May 2025
On the Fairness, Diversity and Reliability of Text-to-Image Generative Models
On the Fairness, Diversity and Reliability of Text-to-Image Generative Models
Jordan Vice
Naveed Akhtar
Leonid Sigal
Richard Hartley
Ajmal Mian
EGVM
110
0
0
21 Nov 2024
AI-Face: A Million-Scale Demographically Annotated AI-Generated Face Dataset and Fairness Benchmark
AI-Face: A Million-Scale Demographically Annotated AI-Generated Face Dataset and Fairness Benchmark
Li Lin
Santosh
Xin Eric Wang
Shu Hu
Shu Hu
EGVM
120
12
0
02 Jun 2024
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
251
30,108
0
01 Mar 2022
A Closer Look at Fourier Spectrum Discrepancies for CNN-generated Images
  Detection
A Closer Look at Fourier Spectrum Discrepancies for CNN-generated Images Detection
Keshigeyan Chandrasegaran
Ngoc-Trung Tran
Ngai-Man Cheung
50
83
0
31 Mar 2021
Improving the Fairness of Deep Generative Models without Retraining
Improving the Fairness of Deep Generative Models without Retraining
Shuhan Tan
Yujun Shen
Bolei Zhou
211
59
0
09 Dec 2020
Fairness in Machine Learning: A Survey
Fairness in Machine Learning: A Survey
Simon Caton
C. Haas
FaML
90
635
0
04 Oct 2020
Self-supervised GAN: Analysis and Improvement with Multi-class Minimax
  Game
Self-supervised GAN: Analysis and Improvement with Multi-class Minimax Game
Ngoc-Trung Tran
Viet-Hung Tran
Ngoc-Bao Nguyen
Linxiao Yang
Ngai-Man Cheung
SSL
GAN
42
61
0
16 Nov 2019
Fair Generative Modeling via Weak Supervision
Fair Generative Modeling via Weak Supervision
Kristy Choi
Aditya Grover
Trisha Singh
Rui Shu
Stefano Ermon
88
135
0
26 Oct 2019
Bias Correction of Learned Generative Models using Likelihood-Free
  Importance Weighting
Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting
Aditya Grover
Jiaming Song
Alekh Agarwal
Kenneth Tran
Ashish Kapoor
Eric Horvitz
Stefano Ermon
53
124
0
23 Jun 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
537
10,540
0
12 Dec 2018
Large Scale GAN Training for High Fidelity Natural Image Synthesis
Large Scale GAN Training for High Fidelity Natural Image Synthesis
Andrew Brock
Jeff Donahue
Karen Simonyan
242
5,391
0
28 Sep 2018
FairGAN: Fairness-aware Generative Adversarial Networks
FairGAN: Fairness-aware Generative Adversarial Networks
Depeng Xu
Shuhan Yuan
Lu Zhang
Xintao Wu
GAN
100
314
0
28 May 2018
Dist-GAN: An Improved GAN using Distance Constraints
Dist-GAN: An Improved GAN using Distance Constraints
Ngoc-Trung Tran
Tuan-Anh Bui
Ngai-Man Cheung
DRL
GAN
136
91
0
23 Mar 2018
Improved Training of Wasserstein GANs
Improved Training of Wasserstein GANs
Ishaan Gulrajani
Faruk Ahmed
Martín Arjovsky
Vincent Dumoulin
Aaron Courville
GAN
193
9,545
0
31 Mar 2017
Unrolled Generative Adversarial Networks
Unrolled Generative Adversarial Networks
Luke Metz
Ben Poole
David Pfau
Jascha Narain Sohl-Dickstein
GAN
93
1,003
0
07 Nov 2016
Equality of Opportunity in Supervised Learning
Equality of Opportunity in Supervised Learning
Moritz Hardt
Eric Price
Nathan Srebro
FaML
217
4,305
0
07 Oct 2016
Improved Techniques for Training GANs
Improved Techniques for Training GANs
Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
GAN
478
9,044
0
10 Jun 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
193,814
0
10 Dec 2015
Certifying and removing disparate impact
Certifying and removing disparate impact
Michael Feldman
Sorelle A. Friedler
John Moeller
C. Scheidegger
Suresh Venkatasubramanian
FaML
191
1,984
0
11 Dec 2014
Deep Learning Face Attributes in the Wild
Deep Learning Face Attributes in the Wild
Ziwei Liu
Ping Luo
Xiaogang Wang
Xiaoou Tang
CVBM
232
8,401
0
28 Nov 2014
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
437
16,940
0
20 Dec 2013
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