most citedCombining Domain-Specific Meta-Learners in the Parameter Space for Cross-Domain Few-Shot Classification

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cs.LG2020★ 1 cited

Combining Domain-Specific Meta-Learners in the Parameter Space for Cross-Domain Few-Shot Classification

Shuman Peng, Weilian Song, Martin Ester

The goal of few-shot classification is to learn a model that can classify novel classes using only a few training examples. Despite the promising results shown by existing meta-lea…