floodsung/Meta-Learning-Papers
Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
This is a curated collection of academic papers focused on "meta-learning," also known as "learning to learn." It brings together foundational and recent research on techniques where artificial intelligence systems learn how to learn new tasks more efficiently, often from very little data. Anyone researching advanced machine learning algorithms for rapid adaptation or few-shot learning would find this useful.
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Use this if you are a machine learning researcher or practitioner looking for a structured reading list of influential papers on meta-learning, one-shot learning, and few-shot learning.
Not ideal if you are looking for ready-to-use code, practical implementations, or a general introduction to machine learning concepts.
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Nov 26, 2018
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