Swapping training optimizers and tiny partial datasets to improve performance of lighter neural networks for edge devices

Մատենագիտական մանրամասներ
Հիմնական հեղինակներ: Nascimento, Alexandre, Melo, Vinicius, Basgalupp, Marcio
Այլ հեղինակներ: Massachusetts Institute of Technology. Media Laboratory
Ձևաչափ: Հոդված
Լեզու:English
Հրապարակվել է: ACM|The 38th ACM/SIGAPP Symposium on Applied Computing 2023
Առցանց հասանելիություն:https://hdl.handle.net/1721.1/150998
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author Nascimento, Alexandre
Melo, Vinicius
Basgalupp, Marcio
author2 Massachusetts Institute of Technology. Media Laboratory
author_facet Massachusetts Institute of Technology. Media Laboratory
Nascimento, Alexandre
Melo, Vinicius
Basgalupp, Marcio
author_sort Nascimento, Alexandre
collection MIT
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institution Massachusetts Institute of Technology
language English
last_indexed 2024-09-23T15:01:51Z
publishDate 2023
publisher ACM|The 38th ACM/SIGAPP Symposium on Applied Computing
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spelling mit-1721.1/1509982024-01-10T17:34:16Z Swapping training optimizers and tiny partial datasets to improve performance of lighter neural networks for edge devices Nascimento, Alexandre Melo, Vinicius Basgalupp, Marcio Massachusetts Institute of Technology. Media Laboratory 2023-07-06T19:21:39Z 2023-07-06T19:21:39Z 2023-03-27 2023-07-01T07:46:07Z Article http://purl.org/eprint/type/ConferencePaper 978-1-4503-9517-5 https://hdl.handle.net/1721.1/150998 Nascimento, Alexandre, Melo, Vinicius and Basgalupp, Marcio. 2023. "Swapping training optimizers and tiny partial datasets to improve performance of lighter neural networks for edge devices." PUBLISHER_POLICY en https://doi.org/10.1145/3555776.3577744 Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. ACM application/pdf ACM|The 38th ACM/SIGAPP Symposium on Applied Computing Association for Computing Machinery
spellingShingle Nascimento, Alexandre
Melo, Vinicius
Basgalupp, Marcio
Swapping training optimizers and tiny partial datasets to improve performance of lighter neural networks for edge devices
title Swapping training optimizers and tiny partial datasets to improve performance of lighter neural networks for edge devices
title_full Swapping training optimizers and tiny partial datasets to improve performance of lighter neural networks for edge devices
title_fullStr Swapping training optimizers and tiny partial datasets to improve performance of lighter neural networks for edge devices
title_full_unstemmed Swapping training optimizers and tiny partial datasets to improve performance of lighter neural networks for edge devices
title_short Swapping training optimizers and tiny partial datasets to improve performance of lighter neural networks for edge devices
title_sort swapping training optimizers and tiny partial datasets to improve performance of lighter neural networks for edge devices
url https://hdl.handle.net/1721.1/150998
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AT basgaluppmarcio swappingtrainingoptimizersandtinypartialdatasetstoimproveperformanceoflighterneuralnetworksforedgedevices