Web: http://arxiv.org/abs/2209.07475

Sept. 16, 2022, 1:12 a.m. | Dalila Ressi, Riccardo Romanello, Sabina Rossi, Carla Piazza

cs.LG updates on arXiv.org arxiv.org

The increasing size of recently proposed Neural Networks makes it hard to
implement them on embedded devices, where memory, battery and computational
power are a non-trivial bottleneck. For this reason during the last years
network compression literature has been thriving and a large number of
solutions has been been published to reduce both the number of operations and
the parameters involved with the models. Unfortunately, most of these reducing
techniques are actually heuristic methods and usually require at least one …

arxiv networks neural networks

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