Contextualizing Enhances Gradient Based Meta Learning

no code implementations • 17 Jul 2020 • Evan Vogelbaum, Rumen Dangovski, Li Jing, Marin Soljačić

We propose the implementation of contextualizers, which are generalizable prototypes that adapt to given examples and play a larger role in classification for gradient-based models.

Few-Shot Learning