Prototypical Networks for Few-shot Learning - NeurIPS

Prototypical Networks differ from Matching Networks in the few-shot case with equivalence in the one-shot scenario. Matching Networks [32] produce a weighted nearest neighbor classifier given the support set, while Prototypical Networks produce a linear classifier when squared Euclidean distance is used. In the case of one-shot learning, c k= x

  Equivalence