A Deep Dive into Dataset Imbalance and Bias in Face Identification-Reference-Cited by-同舟云学术

A Deep Dive into Dataset Imbalance and Bias in Face Identification

Published:2023-08-08 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society
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Author:

Cherepanova Valeriia¹^ORCID,Reich Steven¹^ORCID,Dooley Samuel²^ORCID,Souri Hossein³^ORCID,Dickerson John⁴^ORCID,Goldblum Micah⁵^ORCID,Goldstein Tom¹^ORCID

Affiliation:

1. University of Maryland, USA

2. University of Maryland, USA and Abacus.AI, USA

3. Johns Hopkins University, USA

4. University of Maryland, USA and ArthurAI, USA

5. New York University, USA

Funder

National Science Foundation

Office of Naval Research

Defense Advanced Research Projects Agency

Capital One Financial Corporation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3600211.3604691

Reference42 articles.

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3. A systematic study of the class imbalance problem in convolutional neural networks

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5. SMOTE: Synthetic Minority Over-sampling Technique