Grokking through the lens of minimum-norm interpolation reveals how regularization geometry and signal sparsity govern generalization near interpolation.
Read the original at arxiv.org→arXiv:2609.38453v1 Announce Type: new Abstract: Grokking shows that fitting the training data and learning the underlying signal can occur at very different stages. However, existing theories offer limited...
Original headline: "Grokking through the Lens of Minimum-Norm Interpolation"
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- Oct 1, 04:00 UTC arXiv cs.LG lead source Grokking through the Lens of Minimum-Norm Interpolation