Quantifying the Memorization-to-Generalization Transition: Scaling Laws and Phase Structure in Grokking
Read the original at arxiv.org→arXiv:2609.10657v1 Announce Type: new Abstract: Neural networks trained past memorization frequently undergo a delayed transition to generalization, a phenomenon known as grokking. Despite theoretical progress on...
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- Sep 12, 04:00 UTC arXiv cs.AI lead source Quantifying the Memorization-to-Generalization Transition: Scaling Laws and Phase Structure in Grokking