Saltar al contenido
← volver

Useful to Whom? The Easy-versus-Coverage Boundary Moves with the Learner

arXiv cs.AI · arxiv.org Publicado:

arXiv:2610.00221v2 Announce Type: replace-cross Abstract: Is the same data equally useful to every learner? The question is whether the value of a training sample belongs to the sample or arises in its interaction with the learner. We test it with a selection experiment. Under a per-class budget, two kinds of samples compete for the slots: easy samples, which a short training run learns first, and coverage samples, which spread over the class in feature space. Easy samples win at small budgets…

Leer original →

Más de arXiv cs.AI