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. 2105.11069
  4. Cited By
InfoFair: Information-Theoretic Intersectional Fairness

InfoFair: Information-Theoretic Intersectional Fairness

24 May 2021
Jian Kang
Tiankai Xie
Xintao Wu
Ross Maciejewski
Hanghang Tong
    FaML
ArXivPDFHTML

Papers citing "InfoFair: Information-Theoretic Intersectional Fairness"

4 / 4 papers shown
Title
A Tutorial On Intersectionality in Fair Rankings
Chiara Criscuolo
Davide Martinenghi
Giuseppe Piccirillo
FaML
72
0
0
07 Feb 2025
Adversarial Attacks on Fairness of Graph Neural Networks
Adversarial Attacks on Fairness of Graph Neural Networks
Binchi Zhang
Yushun Dong
Chen Chen
Yada Zhu
Minnan Luo
Jundong Li
41
3
0
20 Oct 2023
Improving Fairness in AI Models on Electronic Health Records: The Case
  for Federated Learning Methods
Improving Fairness in AI Models on Electronic Health Records: The Case for Federated Learning Methods
Raphael Poulain
Mirza Farhan Bin Tarek
Rahmatollah Beheshti
FedML
19
20
0
19 May 2023
CAFIN: Centrality Aware Fairness inducing IN-processing for Unsupervised
  Representation Learning on Graphs
CAFIN: Centrality Aware Fairness inducing IN-processing for Unsupervised Representation Learning on Graphs
A. Arvindh
Aakash Aanegola
Amul Agrawal
Ramasuri Narayanam
Ponnurangam Kumaraguru
16
0
0
10 Apr 2023
1