Contrastive Knowledge-Augmented Meta-Learning for Few-Shot Classification

Rakshith Subramanyam, Mark Heimann, Jayram Thathachar +2

Model agnostic meta-learning algorithms aim to infer priors from several observed tasks that can then be used to adapt to a new task with few examples. Given the inherent diversity…