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Fairness-Aware Meta-Learning via Nash Bargaining

Fairness-Aware Meta-Learning via Nash Bargaining

11 June 2024
Yi Zeng
Xuelin Yang
Li Chen
Cristian Canton Ferrer
Ming Jin
Michael I. Jordan
Ruoxi Jia
ArXivPDFHTML

Papers citing "Fairness-Aware Meta-Learning via Nash Bargaining"

5 / 5 papers shown
Title
MUNBa: Machine Unlearning via Nash Bargaining
MUNBa: Machine Unlearning via Nash Bargaining
Jing Wu
Mehrtash Harandi
MU
71
3
0
23 Nov 2024
FEED: Fairness-Enhanced Meta-Learning for Domain Generalization
FEED: Fairness-Enhanced Meta-Learning for Domain Generalization
Kai Jiang
Chen Zhao
Haoliang Wang
Feng Chen
OOD
FedML
25
3
0
02 Nov 2024
Connecting the Dots in Trustworthy Artificial Intelligence: From AI
  Principles, Ethics, and Key Requirements to Responsible AI Systems and
  Regulation
Connecting the Dots in Trustworthy Artificial Intelligence: From AI Principles, Ethics, and Key Requirements to Responsible AI Systems and Regulation
Natalia Díaz Rodríguez
Javier Del Ser
Mark Coeckelbergh
Marcos López de Prado
E. Herrera-Viedma
Francisco Herrera
XAI
27
257
0
02 May 2023
Understanding bias in facial recognition technologies
Understanding bias in facial recognition technologies
David Leslie
23
50
0
05 Oct 2020
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
286
4,143
0
23 Aug 2019
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