109 citations · 227 across the 12 of their papers we have counts for
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stat.ML2019
Efficient data augmentation using graph imputation neural networks
Indro Spinelli, Simone Scardapane, Michele Scarpiniti +1
Recently, data augmentation in the semi-supervised regime, where unlabeled data vastly outnumbers labeled data, has received a considerable attention. In this paper, we describe an…
stat.ML2016★ 8 cited
Learning activation functions from data using cubic spline interpolation
Simone Scardapane, Michele Scarpiniti, Danilo Comminiello +1
Neural networks require a careful design in order to perform properly on a given task. In particular, selecting a good activation function (possibly in a data-dependent fashion) is…