Swapping training optimizers and tiny partial datasets to improve performance of lighter neural networks for edge devices
Հիմնական հեղինակներ: | , , |
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Այլ հեղինակներ: | |
Ձևաչափ: | Հոդված |
Լեզու: | English |
Հրապարակվել է: |
ACM|The 38th ACM/SIGAPP Symposium on Applied Computing
2023
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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 |
first_indexed | 2024-09-23T15:01:51Z |
format | Article |
id | mit-1721.1/150998 |
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 |
record_format | dspace |
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 |
work_keys_str_mv | AT nascimentoalexandre swappingtrainingoptimizersandtinypartialdatasetstoimproveperformanceoflighterneuralnetworksforedgedevices AT melovinicius swappingtrainingoptimizersandtinypartialdatasetstoimproveperformanceoflighterneuralnetworksforedgedevices AT basgaluppmarcio swappingtrainingoptimizersandtinypartialdatasetstoimproveperformanceoflighterneuralnetworksforedgedevices |