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Mitigating Gender Bias in Face Recognition Using the von Mises-Fisher
  Mixture Model

Mitigating Gender Bias in Face Recognition Using the von Mises-Fisher Mixture Model

24 October 2022
Jean-Rémy Conti
Nathan Noiry
Vincent Despiegel
S. Gentric
Stéphan Clémençon
    FaML
ArXivPDFHTML

Papers citing "Mitigating Gender Bias in Face Recognition Using the von Mises-Fisher Mixture Model"

3 / 3 papers shown
Title
Mitigating Bias in Facial Recognition Systems: Centroid Fairness Loss Optimization
Mitigating Bias in Facial Recognition Systems: Centroid Fairness Loss Optimization
Jean-Rémy Conti
Stéphan Clémençon
17
0
0
27 Apr 2025
Assessing Uncertainty in Similarity Scoring: Performance & Fairness in
  Face Recognition
Assessing Uncertainty in Similarity Scoring: Performance & Fairness in Face Recognition
Jean-Rémy Conti
Stéphan Clémençon
UQCV
14
3
0
14 Nov 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
323
4,212
0
23 Aug 2019
1