Fairness in Visual Clustering: A Novel Transformer Clustering Approach
Fairness in Visual Clustering: A Novel Transformer Clustering Approach
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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Promoting fairness for deep clustering models in unsupervised clustering settings to reduce demographic bias is a challenging goal. This is because of the limitation of large-scale balanced data with well-annotated labels for sensitive or protected attributes. In this paper, we first evaluate demographic bias in deep clustering models from the pers...
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Fairness in Visual Clustering: A Novel Transformer Clustering Approach
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TN_cdi_proquest_journals_2802661328
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2802661328
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2331-8422