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Position: Cracking the Code of Cascading Disparity Towards Marginalized
  Communities

Position: Cracking the Code of Cascading Disparity Towards Marginalized Communities

3 June 2024
G. Farnadi
Mohammad Havaei
Negar Rostamzadeh
ArXivPDFHTML

Papers citing "Position: Cracking the Code of Cascading Disparity Towards Marginalized Communities"

4 / 4 papers shown
Title
Evaluating the Fairness of Discriminative Foundation Models in Computer
  Vision
Evaluating the Fairness of Discriminative Foundation Models in Computer Vision
Junaid Ali
Matthäus Kleindessner
F. Wenzel
Kailash Budhathoki
V. Cevher
Chris Russell
VLM
57
10
0
18 Oct 2023
Unraveling the Interconnected Axes of Heterogeneity in Machine Learning
  for Democratic and Inclusive Advancements
Unraveling the Interconnected Axes of Heterogeneity in Machine Learning for Democratic and Inclusive Advancements
Maryam Molamohammadi
Afaf Taik
Nicolas Le Roux
G. Farnadi
14
1
0
11 Jun 2023
Pruning has a disparate impact on model accuracy
Pruning has a disparate impact on model accuracy
Cuong Tran
Ferdinando Fioretto
Jung-Eun Kim
Rakshit Naidu
32
37
0
26 May 2022
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
1