Meta Learning Insights
Jan and Connor discuss Yoshio Benji's presentation on meta learning, emphasizing systematic generalization and the importance of high-level features for transfer learning. Yoshio's focus on deriving rules for generalization, not just random tests, sparks a deep dive into the world of meta learning.In this clip
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Machine Learning Street Talk (MLST)
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