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Explainable Attention for Few-shot Learning and Beyond
In this study, we introduce a novel and practical framework for achieving explainable hard attention finding, specifically tailored for few-shot learning scenarios, called FewXAT.
NPC: Neighbors Progressive Competition Algorithm for Classification of Imbalanced Data Sets
To overcome this issue, this paper proposes a new approach Neighbors Progressive Competition (NPC) for classification of imbalanced datasets.
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