Youtor
MetaLearning
YOUR LINK HERE:
http://youtube.com/watch?v=1VXH2fMv1U4
Meta-learning allows machines to learn to learn new algorithms. It is an emerging and fast-developing research area within machine learning with implications for all AI research. Recent successes include automatic model discovery, few-shot learning, multi-task learning, meta-reinforcement learning, as well as teaching machines to read, learn and reason. Just as humans do not learn new tasks from scratch, but rather draw on what they learn before, meta-learning is key to efficient and robust learning. This tutorial will cover important mathematical foundations of the field and its applications, including key methods underlying the current state of the art in this fast-paced field. • Part of a larger AAAI tutorial together with Iddo Drori. Further materials (and slides) are available here: https://sites.google.com/mit.edu/aaai...
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