【资源推荐】元学习近几年论文和资料集锦

【导读】本资源整理了元学习在各个领域应用的相关论文和代码，是学习元学习一个非常好的资源。

Zero-Shot / One-Shot / Few-Shot / Low-Shot Learning

Model Agnostic Meta Learning

Meta Reinforcement Learning

Books

• Hands-On Meta Learning with Python: Meta learning using one-shot learning, MAML, Reptile, and Meta-SGD with TensorFlow, (2019), Sudharsan Ravichandiran. [pdf] [code]

Blogs

• Berkeley Artificial Intelligence Research blog

• Meta-Learning: Learning to Learn Fast

• Meta-Reinforcement Learning

• How to train your MAML: A step by step approach

• An Introduction to Meta-Learning

• From zero to research — An introduction to Meta-learning

• What’s New in Deep Learning Research: Understanding Meta-Learning

• Meta Reinforcement Learning Blog by Lilian Weng

Lecture Videos

• Stanford CS330: Multi-Task and Meta-Learning, 2019 by Chelsea Finn

• Chelsea Finn: Building Unsupervised Versatile Agents with Meta-Learning

• Sam Ritter: Meta-Learning to Make Smart Inferences from Small Data

• Model Agnostic Meta Learning by Siavash Khodadadeh

• Meta Learning by Siraj Raval

• Meta Learning by Hugo Larochelle

• Meta Learning and One-Shot Learning

Datasets

Most popularly used datasets:

• Omniglot

• mini-ImageNet

• ILSVRC

• FGVC aircraft

• Caltech-UCSD Birds-200-2011

Check several other datasets by Google here.

Workshops

• MetaLearn 2017

• MetaLearn 2018

• MetaLearn 2019

Researchers

• Chelsea Finn, UC Berkeley

• Pieter Abbeel, UC Berkeley

• Erin Grant, UC Berkeley

• Raia Hadsell, DeepMind

• Misha Denil, DeepMind

• Adam Santoro, DeepMind

• Sachin Ravi, Princeton University

• David Abel, Brown University

• Brenden Lake, Facebook AI Research

地址连接：

https://github.com/sudharsan13296/Awesome-Meta-Learning

作者：Sudharsan Ravichandiran

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