Généralisation tardive
en construction
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Grokking
A set of models that suddenly flipped from memorizing their training data to correctly generalizing on unseen inputs after training for much longer. This phenomenon – where generalization seems to happen abruptly and long after fitting the training data – is called grokking and has sparked a flurry of interest
Contributeurs: Claude Coulombe, Patrick Drouin, wiki
