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Towards Reliable Assessments of Demographic Disparities in Multi-Label
  Image Classifiers

Towards Reliable Assessments of Demographic Disparities in Multi-Label Image Classifiers

16 February 2023
Melissa Hall
Bobbie Chern
Laura Gustafson
Denisse Ventura
Harshad Kulkarni
Candace Ross
Nicolas Usunier
ArXivPDFHTML

Papers citing "Towards Reliable Assessments of Demographic Disparities in Multi-Label Image Classifiers"

5 / 5 papers shown
Title
A Closer Look at AUROC and AUPRC under Class Imbalance
A Closer Look at AUROC and AUPRC under Class Imbalance
Matthew B. A. McDermott
Lasse Hyldig Hansen
Haoran Zhang
Giovanni Angelotti
Jack Gallifant
31
31
0
11 Jan 2024
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
94
70
0
27 Jan 2022
ImageNet-21K Pretraining for the Masses
ImageNet-21K Pretraining for the Masses
T. Ridnik
Emanuel Ben-Baruch
Asaf Noy
Lihi Zelnik-Manor
SSeg
VLM
CLIP
173
686
0
22 Apr 2021
Re-labeling ImageNet: from Single to Multi-Labels, from Global to
  Localized Labels
Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels
Sangdoo Yun
Seong Joon Oh
Byeongho Heo
Dongyoon Han
Junsuk Choe
Sanghyuk Chun
392
142
0
13 Jan 2021
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
2,082
0
24 Oct 2016
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