Neural networks as kernel learners: The silent alignment effect
Alexander Atanasov, Blake Bordelon, Cengiz Pehlevan
Paper
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The Tenth International Conference on Learning Representations, 2022
Notes
The silent alignment result is grouped in riva2026task with other feature-learning analyses that could plausibly bridge optimization dynamics to the ecology-relative target.
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