260 citations · 456 across the 15 of their papers we have counts for
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cs.LG2019
Layerwise Noise Maximisation to Train Low-Energy Deep Neural Networks
Sébastien Henwood, François Leduc-Primeau, Yvon Savaria
Deep neural networks (DNNs) depend on the storage of a large number of parameters, which consumes an important portion of the energy used during inference. This paper considers the…
cs.LG2019★ 1 cited
Training Modern Deep Neural Networks for Memory-Fault Robustness
Ghouthi Boukli Hacene, François Leduc-Primeau, Amal Ben Soussia +2
Because deep neural networks (DNNs) rely on a large number of parameters and computations, their implementation in energy-constrained systems is challenging. In this paper, we inve…