A balanced weighted hierarchical loss is introduced that is a proper scoring rule, and it is shown to reduce hierarchical distance without sacrificing standard accuracy in low-data image classification.
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Harnessing Superclasses for Learning from Hierarchical Databases
A balanced weighted hierarchical loss is introduced that is a proper scoring rule, and it is shown to reduce hierarchical distance without sacrificing standard accuracy in low-data image classification.