Meta-Learning via Feature-Label Memory Network

Understand

Deep learning typically requires training a very capable architecture using large datasets.

• However, many important learning problems demand an ability to draw valid inferences from small size datasets, and such problems pose a particular challenge for deep learning.
• In this regard, various researches on "meta-learning" are being actively conducted.
• Recent work has suggested a Memory Augmented Neural Network (MANN) for meta-learning.