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Quantifying and mitigating the impact of label errors on model disparity
  metrics

Quantifying and mitigating the impact of label errors on model disparity metrics

4 October 2023
Julius Adebayo
Melissa Hall
Bowen Yu
Bobbie Chern
ArXivPDFHTML

Papers citing "Quantifying and mitigating the impact of label errors on model disparity metrics"

4 / 4 papers shown
Title
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
38
0
26 May 2022
Achieving Fairness at No Utility Cost via Data Reweighing with Influence
Achieving Fairness at No Utility Cost via Data Reweighing with Influence
Peizhao Li
Hongfu Liu
TDI
25
45
0
01 Feb 2022
A Systematic Study of Bias Amplification
A Systematic Study of Bias Amplification
Melissa Hall
L. V. D. van der Maaten
Laura Gustafson
Maxwell Jones
Aaron B. Adcock
92
70
0
27 Jan 2022
Combating noisy labels by agreement: A joint training method with
  co-regularization
Combating noisy labels by agreement: A joint training method with co-regularization
Hongxin Wei
Lei Feng
Xiangyu Chen
Bo An
NoLa
303
494
0
05 Mar 2020
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