mércores, maio 5, 2021

mércores, 5 maio, 2021 -
16:30 - 18:00

Deep Learning methods are very data hungry. Supervised methods require from a big dataset of labelled examples for successfully learning their objective. Low data learning methods aim to train models with less data or at least less labelled data. Examples of these are few shot learning, self-supervised learning, domain adaptation, active learning…