Learning Sparse Neural Networks via Sensitivity-Driven Regularization

Enzo Tartaglione, Skjalg Lepsøy, Attilio Fiandrotti +1

The ever-increasing number of parameters in deep neural networks poses challenges for memory-limited applications. Regularize-and-prune methods aim at meeting these challenges by s…