[BAIR] MAML : Model Agnostic Meta Learning

Jul 18, 2017

https://bair.berkeley.edu/blog/2017/07/18/learning-to-learn/

Learning to Learn

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So, what is learning to learn, and what has it been used for?

Early approaches to meta-learning date back to the late 1980s and early 1990s, including Jürgen Schmidhuber’s thesis and work by Yoshua and Samy Bengio. Recently meta-learning has become a hot topic, with a flurry of recent papers, most commonly using the technique for hyperparameter and neural network optimization, finding good network architectures, few-shot image recognition, and fast reinforcement learning. …

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