| dc.contributor.author | Nascimento, Alexandre | |
| dc.contributor.author | Melo, Vinicius | |
| dc.contributor.author | Basgalupp, Marcio | |
| dc.date.accessioned | 2023-07-06T19:21:39Z | |
| dc.date.available | 2023-07-06T19:21:39Z | |
| dc.date.issued | 2023-03-27 | |
| dc.identifier.isbn | 978-1-4503-9517-5 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/150998 | |
| dc.publisher | ACM|The 38th ACM/SIGAPP Symposium on Applied Computing | en_US |
| dc.relation.isversionof | https://doi.org/10.1145/3555776.3577744 | en_US |
| dc.rights | 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. | en_US |
| dc.source | Association for Computing Machinery | en_US |
| dc.title | Swapping training optimizers and tiny partial datasets to improve performance of lighter neural networks for edge devices | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | 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." | |
| dc.contributor.department | Massachusetts Institute of Technology. Media Laboratory | |
| dc.identifier.mitlicense | PUBLISHER_POLICY | |
| dc.eprint.version | Final published version | en_US |
| dc.type.uri | http://purl.org/eprint/type/ConferencePaper | en_US |
| eprint.status | http://purl.org/eprint/status/NonPeerReviewed | en_US |
| dc.date.updated | 2023-07-01T07:46:07Z | |
| dc.language.rfc3066 | en | |
| dc.rights.holder | ACM | |
| dspace.date.submission | 2023-07-01T07:46:07Z | |
| mit.license | PUBLISHER_POLICY | |
| mit.metadata.status | Authority Work and Publication Information Needed | en_US |
