Adapting Neural Networks at Runtime: Current Trends in At-Runtime Optimizations for Deep Learning.
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| Title: | Adapting Neural Networks at Runtime: Current Trends in At-Runtime Optimizations for Deep Learning. |
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| Authors: | Sponner, Max1 (AUTHOR) max.sponner@infineon.com, Waschneck, Bernd2 (AUTHOR) bernd.waschneck@infineon.com, Kumar, Akash3 (AUTHOR) akash.kumar@tu-dresden.de |
| Source: | ACM Computing Surveys. Oct2024, Vol. 56 Issue 10, p1-40. 40p. |
| Database: | Business Source Ultimate |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: bsu DbLabel: Business Source Ultimate An: 178072942 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsu&AN=178072942 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1145/3657283 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 40 StartPage: 1 Titles: – TitleFull: Adapting Neural Networks at Runtime: Current Trends in At-Runtime Optimizations for Deep Learning. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Sponner, Max – PersonEntity: Name: NameFull: Waschneck, Bernd – PersonEntity: Name: NameFull: Kumar, Akash IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: Oct2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 03600300 Numbering: – Type: volume Value: 56 – Type: issue Value: 10 Titles: – TitleFull: ACM Computing Surveys Type: main |
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