1 code implementation • 24 Jan 2023 • Matteo Risso, Alessio Burrello, Francesco Conti, Lorenzo Lamberti, Yukai Chen, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
Neural Architecture Search (NAS) is quickly becoming the go-to approach to optimize the structure of Deep Learning (DL) models for complex tasks such as Image Classification or Object Detection.
no code implementations • 29 Apr 2022 • Thorir Mar Ingolfsson, Mark Vero, Xiaying Wang, Lorenzo Lamberti, Luca Benini, Matteo Spallanzani
The computational demands of neural architecture search (NAS) algorithms are usually directly proportional to the size of their target search spaces.
1 code implementation • 28 Mar 2022 • Matteo Risso, Alessio Burrello, Daniele Jahier Pagliari, Francesco Conti, Lorenzo Lamberti, Enrico Macii, Luca Benini, Massimo Poncino
Temporal Convolutional Networks (TCNs) are promising Deep Learning models for time-series processing tasks.