5 datasets found

The dataset used in the paper is a collection of meta-learning frameworks, including MAML, Prototypical Network, and others.

The Alchemy benchmark is a meta-learning environment rich enough to contain interesting abstractions, yet simple enough to make ne-grained analysis tractable.

The dataset used in the paper is a collection of environments with multiple confounders, including mass, length, damping, and a crippled leg. The dataset is used to evaluate the...

A new approach to meta-learning, called meta-meta classification, to learning in small-data settings.

RotoGBML: Towards out-of-distribution generalization for gradient-based meta-learning.