14 citations · 14 across the 9 of their papers we have counts for
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cs.CV2021★ 14 cited
An Experimental Study of the Impact of Pre-training on the Pruning of a Convolutional Neural Network
Nathan Hubens, Matei Mancas, Bernard Gosselin +2
In recent years, deep neural networks have known a wide success in various application domains. However, they require important computational and memory resources, which severely h…
cs.CV2021
One-Cycle Pruning: Pruning ConvNets Under a Tight Training Budget
Nathan Hubens, Matei Mancas, Bernard Gosselin +2
Introducing sparsity in a neural network has been an efficient way to reduce its complexity while keeping its performance almost intact. Most of the time, sparsity is introduced us…