no code implementations • 14 Nov 2020 • Franco Manessi, Alessandro Rozza
Self-supervised learning is currently gaining a lot of attention, as it allows neural networks to learn robust representations from large quantities of unlabeled data.
no code implementations • 29 Jan 2018 • Franco Manessi, Alessandro Rozza
In the last decade, an active area of research has been devoted to design novel activation functions that are able to help deep neural networks to converge, obtaining better performance.
no code implementations • 5 Dec 2017 • Franco Manessi, Alessandro Rozza, Simone Bianco, Paolo Napoletano, Raimondo Schettini
In this work we present a method to improve the pruning step of the current state-of-the-art methodology to compress neural networks.
no code implementations • 20 Apr 2017 • Franco Manessi, Alessandro Rozza, Mario Manzo
Many different classification tasks need to manage structured data, which are usually modeled as graphs.