ColabNAS: Obtaining lightweight task-specific convolutional neural networks following Occam’s razor-Reference-Cited by-同舟云学术

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ColabNAS: Obtaining lightweight task-specific convolutional neural networks following Occam’s razor

Published:2024-03 Issue: Volume:152 Page:152-159
ISSN:0167-739X
Container-title:Future Generation Computer Systems
language:en
Short-container-title:Future Generation Computer Systems

Author:

Garavagno Andrea Mattia^ORCID,Leonardis Daniele,Frisoli Antonio

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference36 articles.

1. Memory-efficient patch-based inference for tiny deep learning;Lin;Adv. Neural Inf. Process. Syst.,2021

2. Micronets: Neural network architectures for deploying tinyml applications on commodity microcontrollers;Banbury;Proc. Mach. Learn. Syst.,2021

3. A review of deep transfer learning and recent advancements;Iman,2023

4. Lightweight neural network for COVID-19 detection from chest X-ray images implemented on an embedded system;Sanida;Technologies,2022

5. Mobilenetv2: Inverted residuals and linear bottlenecks;Sandler,2018

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1. ESC-NAS: Environment Sound Classification Using Hardware-Aware Neural Architecture Search for the Edge;Sensors;2024-06-09

2. An Affordable Hardware-Aware Neural Architecture Search for Deploying Convolutional Neural Networks on Ultra-Low-Power Computing Platforms;IEEE Sensors Letters;2024-05

3. Machine-learning-assisted hydrogen adsorption descriptor design for bilayer MXenes;Journal of Cleaner Production;2024-04

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