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FAIR: Fair Adversarial Instance Re-weighting

FAIR: Fair Adversarial Instance Re-weighting

15 November 2020
Andrija Petrović
Mladen Nikolic
Sandro Radovanović
Boris Delibavsić
Milovs Jovanović
    FaML
    AAML
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Papers citing "FAIR: Fair Adversarial Instance Re-weighting"

4 / 4 papers shown
Title
Interpreting Unfairness in Graph Neural Networks via Training Node
  Attribution
Interpreting Unfairness in Graph Neural Networks via Training Node Attribution
Yushun Dong
Song Wang
Jing Ma
Ninghao Liu
Jundong Li
44
21
0
25 Nov 2022
The Fairness of Credit Scoring Models
The Fairness of Credit Scoring Models
Christophe Hurlin
C. Pérignon
Sébastien Saurin
FaML
30
23
0
20 May 2022
FORML: Learning to Reweight Data for Fairness
FORML: Learning to Reweight Data for Fairness
Bobby Yan
Skyler Seto
N. Apostoloff
FaML
25
11
0
03 Feb 2022
Learning Adversarially Fair and Transferable Representations
Learning Adversarially Fair and Transferable Representations
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
233
674
0
17 Feb 2018
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