Web: http://arxiv.org/abs/2205.05575

May 12, 2022, 1:10 a.m. | Erik Wallin, Lennart Svensson, Fredrik Kahl, Lars Hammarstrand

stat.ML updates on arXiv.org arxiv.org

Following the success of supervised learning, semi-supervised learning (SSL)
is now becoming increasingly popular. SSL is a family of methods, which in
addition to a labeled training set, also use a sizable collection of unlabeled
data for fitting a model. Most of the recent successful SSL methods are based
on pseudo-labeling approaches: letting confident model predictions act as
training labels. While these methods have shown impressive results on many
benchmark datasets, a drawback of this approach is that not all …

arxiv learning semi-supervised semi-supervised learning supervised learning

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