Few-Shot Learning with Graph Neural Networks

2 code implementations • ICLR 2018 • Victor Garcia Satorras, Joan Bruna Estrach

We propose to study the problem of few-shot learning with the prism of inference on a partially observed graphical model, constructed from a collection of input images whose label can be either observed or not.

Active Learning Few-Shot Learning