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Can Active Learning Preemptively Mitigate Fairness Issues?

Can Active Learning Preemptively Mitigate Fairness Issues?

14 April 2021
Frederic Branchaud-Charron
Parmida Atighehchian
Pau Rodríguez
Grace Abuhamad
Alexandre Lacoste
    FaML
ArXivPDFHTML

Papers citing "Can Active Learning Preemptively Mitigate Fairness Issues?"

3 / 3 papers shown
Title
Implicit Visual Bias Mitigation by Posterior Estimate Sharpening of a Bayesian Neural Network
Rebecca S Stone
Nishant Ravikumar
A. Bulpitt
David C. Hogg
BDL
36
0
0
29 Mar 2023
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
4,203
0
23 Aug 2019
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,136
0
06 Jun 2015
1