Pruning In Time (PIT): A Lightweight Network Architecture Optimizer for Temporal Convolutional Networks

Temporal Convolutional Networks (TCNs) are promising Deep Learning models for time-series processing tasks. One key feature of TCNs is time-dilated convolution, whose optimization requires extensive experimentation. We propose an automatic dilation optimizer, which tackles the problem as a weight pr...

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Vydané v:	2021 58th ACM/IEEE Design Automation Conference (DAC) s. 1015 - 1020
Hlavní autori:	Risso, Matteo, Burrello, Alessio, Pagliari, Daniele Jahier, Conti, Francesco, Lamberti, Lorenzo, Macii, Enrico, Benini, Luca, Poncino, Massimo
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 05.12.2021
Predmet:	Computer architecture Deep learning Design automation Edge Computing Network architecture Neural Architecture Search Neural networks Temporal Convolutional Networks Training
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