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Fair4Free: Generating High-fidelity Fair Synthetic Samples using Data
  Free Distillation

Fair4Free: Generating High-fidelity Fair Synthetic Samples using Data Free Distillation

2 October 2024
Md Fahim Sikder
Daniel de Leng
Fredrik Heintz
ArXiv (abs)PDFHTML

Papers citing "Fair4Free: Generating High-fidelity Fair Synthetic Samples using Data Free Distillation"

15 / 15 papers shown
Title
Bt-GAN: Generating Fair Synthetic Healthdata via Bias-transforming
  Generative Adversarial Networks
Bt-GAN: Generating Fair Synthetic Healthdata via Bias-transforming Generative Adversarial Networks
R. Ramachandranpillai
Md Fahim Sikder
David Bergstrom
Fredrik Heintz
SyDa
79
6
0
21 Apr 2024
Balanced Mixed-Type Tabular Data Synthesis with Diffusion Models
Balanced Mixed-Type Tabular Data Synthesis with Diffusion Models
Zeyu Yang
Peikun Guo
Khadija Zanna
Akane Sano
Xiaoxue Yang
Akane Sano
DiffM
105
10
0
12 Apr 2024
The Devil is in the Data: Learning Fair Graph Neural Networks via
  Partial Knowledge Distillation
The Devil is in the Data: Learning Fair Graph Neural Networks via Partial Knowledge Distillation
Yuchang Zhu
Jintang Li
Liang Chen
Zibin Zheng
99
11
0
29 Nov 2023
Fairlearn: Assessing and Improving Fairness of AI Systems
Fairlearn: Assessing and Improving Fairness of AI Systems
Hilde Weerts
Miroslav Dudík
Richard Edgar
Adrin Jalali
Roman Lutz
Michael Madaio
FaML
69
69
0
29 Mar 2023
RELIANT: Fair Knowledge Distillation for Graph Neural Networks
RELIANT: Fair Knowledge Distillation for Graph Neural Networks
Yushun Dong
Binchi Zhang
Yiling Yuan
Na Zou
Qi Wang
Jundong Li
141
13
0
03 Jan 2023
Curriculum Temperature for Knowledge Distillation
Curriculum Temperature for Knowledge Distillation
Zheng Li
Xiang Li
Lingfeng Yang
Borui Zhao
Renjie Song
Lei Luo
Jun Yu Li
Jian Yang
64
143
0
29 Nov 2022
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
298
30,152
0
01 Mar 2022
Fair Feature Distillation for Visual Recognition
Fair Feature Distillation for Visual Recognition
S. Jung
Donggyu Lee
Taeeon Park
Taesup Moon
61
76
0
27 May 2021
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating
  and Auditing Generative Models
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models
Ahmed Alaa
B. V. Breugel
Evgeny S. Saveliev
M. Schaar
107
198
0
17 Feb 2021
Fairness in Machine Learning: A Survey
Fairness in Machine Learning: A Survey
Simon Caton
C. Haas
FaML
102
650
0
04 Oct 2020
Fair Generative Modeling via Weak Supervision
Fair Generative Modeling via Weak Supervision
Kristy Choi
Aditya Grover
Trisha Singh
Rui Shu
Stefano Ermon
102
136
0
26 Oct 2019
Inherent Tradeoffs in Learning Fair Representations
Inherent Tradeoffs in Learning Fair Representations
Han Zhao
Geoffrey J. Gordon
FaML
70
218
0
19 Jun 2019
Flexibly Fair Representation Learning by Disentanglement
Flexibly Fair Representation Learning by Disentanglement
Elliot Creager
David Madras
J. Jacobsen
Marissa A. Weis
Kevin Swersky
T. Pitassi
R. Zemel
FaMLOOD
196
334
0
06 Jun 2019
Equality of Opportunity in Supervised Learning
Equality of Opportunity in Supervised Learning
Moritz Hardt
Eric Price
Nathan Srebro
FaML
236
4,341
0
07 Oct 2016
Deep Learning Face Attributes in the Wild
Deep Learning Face Attributes in the Wild
Ziwei Liu
Ping Luo
Xiaogang Wang
Xiaoou Tang
CVBM
255
8,429
0
28 Nov 2014
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