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Research questionCan pre-generalization interventions reveal when training constrains which equally fitting neural-network solutions will later generalize?Overparameterized networks can fit the same training data while differing substantially on unseen examples. During grokking, generalization emerges after a plateau, making it difficult to determine when training has begun constraining the eventual solution.
AI
Machine Learning
Neural and Evolutionary Computing
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Statistical Machine Learning
Latest papersRecent research connected to this question, newest first.Canalization Before Generalization: Grokking as a Dynamical ProbeThe evidence comes from three grokking tasks using short, fixed-duration weight-decay perturbations applied across the pre-generalization plateau. It tracks changes in later generalization timing and test-loss barriers relative to baseline checkpoints; the findings are limited to these tasks and perturbations.research paper · Sep 4, 2026
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