Meta-Learning of Compositional Task Distributions in Humans and Machines

Sreejan Kumar
Sreejan Kumar
Ishita Dasgupta
Ishita Dasgupta
Cited by: 0|Views20

Abstract:

Modern machine learning systems struggle with sample efficiency and are usually trained with enormous amounts of data for each task. This is in sharp contrast with humans, who often learn with very little data. In recent years, meta-learning, in which one trains on a family of tasks (i.e. a task distribution), has emerged as an approach...More

Code:

Data:

Full Text
Bibtex
Your rating :
0

 

Tags
Comments