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Tuning Fairness by Balancing Target Labels

Tuning Fairness by Balancing Target Labels

12 October 2018
T. Kehrenberg
Zexun Chen
Novi Quadrianto
ArXivPDFHTML

Papers citing "Tuning Fairness by Balancing Target Labels"

5 / 5 papers shown
Title
Bias in Multimodal AI: Testbed for Fair Automatic Recruitment
Bias in Multimodal AI: Testbed for Fair Automatic Recruitment
Alejandro Peña
Ignacio Serna
Aythami Morales
Julian Fierrez
30
56
0
15 Apr 2020
Post-Comparison Mitigation of Demographic Bias in Face Recognition Using
  Fair Score Normalization
Post-Comparison Mitigation of Demographic Bias in Face Recognition Using Fair Score Normalization
Philipp Terhörst
J. Kolf
Naser Damer
Florian Kirchbuchner
Arjan Kuijper
19
56
0
10 Feb 2020
Learning Adversarially Fair and Transferable Representations
Learning Adversarially Fair and Transferable Representations
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
233
675
0
17 Feb 2018
A statistical framework for fair predictive algorithms
A statistical framework for fair predictive algorithms
K. Lum
J. Johndrow
FaML
177
105
0
25 Oct 2016
Fair prediction with disparate impact: A study of bias in recidivism
  prediction instruments
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
Alexandra Chouldechova
FaML
207
2,091
0
24 Oct 2016
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