It's DONE: Direct ONE-shot learning with quantile weight imprinting. (arXiv:2204.13361v3 [cs.LG] UPDATED)

Learning a new concept from one example is a superior function of the human
brain and it is drawing attention in the field of machine learning as a
one-shot learning task. In this paper, we propose one of the simplest methods
for this task with a nonparametric weight imprinting, named Direct ONE-shot
learning (DONE). DONE adds new classes to a pretrained deep neural network
(DNN) classifier with neither training optimization nor pretrained-DNN
modification. DONE is inspired by Hebbian theory and …

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