Meta Learning


Meta learning is a subfield of machine learning where automatic learning algorithms are applied on metadata about machine learning experiments.

Overview

Tutorials

CS330: Deep Multi-Task and Meta Learning
Study how the structure arising from multiple tasks can be leveraged to learn more efficiently or effectively.
multi-task-learning meta-learning cs330 stanford
Meta Reinforcement Learning
Explore cases when we try to “meta-learn” Reinforcement Learning (RL) tasks by developing an agent that can solve unseen tasks fast and efficiently.
meta-learning reinforcement-learning tutorial article

Libraries

General
Torchmeta
A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
meta-learning few-shot-learning zero-shot-learning pytorch
Table of Contents
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