1 paper
Breno W. Carvalho, Artur S. d'Avila Garcez, LuÃs C. Lamb +1
Grokking, or delayed generalization, is an intriguing learning phenomenon where test set loss decreases sharply only after a model's training set loss has converged. This challenge…