In this video I do a deep dive of the “Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning“ paper.
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✅ Non-Parametric Transformers paper:
✅ Jay Alammar’s BERT blog:
✅ My LinkedIn post (Judea Pearl): (also check out my other posts I made related to this)
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⌚️ Timetable:
00:00 Key ideas of the paper
01:40 Abstract
02:55 Note on k-NN (non-parametric machine learning)
04:30
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