30 citations · 61 across the 8 of their papers we have counts for
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cs.LG2020★ 30 cited
LOss-Based SensiTivity rEgulaRization: towards deep sparse neural networks
Enzo Tartaglione, Andrea Bragagnolo, Attilio Fiandrotti +1
LOBSTER (LOss-Based SensiTivity rEgulaRization) is a method for training neural networks having a sparse topology. Let the sensitivity of a network parameter be the variation of th…
cs.LG2020★ 12 cited
Pruning artificial neural networks: a way to find well-generalizing, high-entropy sharp minima
Enzo Tartaglione, Andrea Bragagnolo, Marco Grangetto
Recently, a race towards the simplification of deep networks has begun, showing that it is effectively possible to reduce the size of these models with minimal or no performance lo…