Existing approaches to few-shot learning deal with tasks that have
persi...
Few-shot classification (FSC), the task of adapting a classifier to unse...
Variational autoencoders (VAEs) are widely used deep generative models
c...
In few-shot classification, we are interested in learning algorithms tha...
We propose prototypical networks for the problem of few-shot classificat...