most citedExplanation-Guided Training for Cross-Domain Few-Shot Classification

19 citations · 19 across the 5 of their papers we have counts for

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cs.LG2021

Towards A Conceptually Simple Defensive Approach for Few-shot classifiers Against Adversarial Support Samples

Yi Xiang Marcus Tan, Penny Chong, Jiamei Sun +3

Few-shot classifiers have been shown to exhibit promising results in use cases where user-provided labels are scarce. These models are able to learn to predict novel classes simply…