ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2203.16413
  4. Cited By
Learning Fair Models without Sensitive Attributes: A Generative Approach

Learning Fair Models without Sensitive Attributes: A Generative Approach

30 March 2022
Huaisheng Zhu
Suhang Wang
    FaML
ArXivPDFHTML

Papers citing "Learning Fair Models without Sensitive Attributes: A Generative Approach"

2 / 2 papers shown
Title
MAPPING: Debiasing Graph Neural Networks for Fair Node Classification with Limited Sensitive Information Leakage
MAPPING: Debiasing Graph Neural Networks for Fair Node Classification with Limited Sensitive Information Leakage
Ying Song
Balaji Palanisamy
78
0
0
28 Jan 2025
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
326
4,223
0
23 Aug 2019
1