All Mistakes Are Not Equal: Comprehensive Hierarchy Aware Multi-label Predictions (CHAMP)

This paper considers the problem of Hierarchical Multi-Label Classification (HMC), where (i) several labels can be present for each example, and (ii) labels are related via a domain-specific hierarchy tree. Guided by the intuition that all mistakes are not equal, we present Comprehensive Hierarchy A...

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Bibliographic Details
Main Authors Vaswani, Ashwin, Aggarwal, Gaurav, Netrapalli, Praneeth, Hegde, Narayan G
Format Journal Article
LanguageEnglish
Published 17.06.2022
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