Publication:

Resource efficient AI: Exploring neural network pruning for task specialization

Date

2022
Journal article
https://doi.org/10.1016/j.iot.2022.100599
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dc.contributor.authorBalemans, Dieter
dc.contributor.authorReiter, Phil
dc.contributor.authorSteckel, Jan
dc.contributor.authorHellinckx, Peter
dc.contributor.imecauthorBalemans, Dieter
dc.contributor.imecauthorReiter, Phil
dc.contributor.imecauthorHellinckx, Peter
dc.contributor.orcidextSteckel, Jan::0000-0003-4489-466X
dc.contributor.orcidimecBalemans, Dieter::0000-0001-7812-0211
dc.contributor.orcidimecHellinckx, Peter::0000-0001-8029-4720
dc.contributor.orcidimecReiter, Phil::0000-0002-2548-7172
dc.date.accessioned2022-12-09T10:46:38Z
dc.date.available2022-09-11T02:49:55Z
dc.date.available2022-10-04T14:12:23Z
dc.date.available2022-12-09T10:46:38Z
dc.date.issued2022
dc.description.wosFundingTextThis research received funding from the Flemish Government (AI Research Program) and was supported by the Research Foundation Flanders (FWO) under Grant Number 1SA8122N.
dc.identifier.doi10.1016/j.iot.2022.100599
dc.identifier.issn2543-1536
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/40418
dc.publisherELSEVIER
dc.source.beginpage100599
dc.source.endpagena
dc.source.issuena
dc.source.journalINTERNET OF THINGS
dc.source.numberofpages11
dc.source.volume20
dc.subject.disciplineComputer science/information technology
dc.subject.keywordsGRADIENT
dc.title

Resource efficient AI: Exploring neural network pruning for task specialization

dc.typeJournal article
dspace.entity.typePublication
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