Publication:

Learn to Learn on Chip: Hardware-aware Meta-learning for Quantized Few-shot Learning at the Edge

Date

2022
Proceedings Paper
https://doi.org/10.1109/SEC54971.2022.00009
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dc.contributor.authorSatya Murthy, Nitish
dc.contributor.authorVrancx, Peter
dc.contributor.authorLaubeuf, Nathan
dc.contributor.authorDebacker, Peter
dc.contributor.authorCatthoor, Francky
dc.contributor.authorVerhelst, Marian
dc.contributor.imecauthorSatya Murthy, Nitish
dc.contributor.imecauthorVrancx, Peter
dc.contributor.imecauthorLaubeuf, Nathan
dc.contributor.imecauthorDebacker, Peter
dc.contributor.imecauthorCatthoor, Francky
dc.contributor.imecauthorVerhelst, Marian
dc.contributor.orcidimecVrancx, Peter::0000-0002-9876-3684
dc.contributor.orcidimecLaubeuf, Nathan::0000-0002-1592-755X
dc.contributor.orcidimecDebacker, Peter::0000-0003-3825-5554
dc.contributor.orcidimecCatthoor, Francky::0000-0002-3599-8515
dc.contributor.orcidimecVerhelst, Marian::0000-0003-3495-9263
dc.contributor.orcidimecSatya Murthy, Nitish::0000-0003-0181-8069
dc.date.accessioned2023-06-06T10:06:39Z
dc.date.available2023-02-23T03:25:32Z
dc.date.available2023-06-06T10:06:39Z
dc.date.issued2022
dc.description.wosFundingTextThis research received funding from the Flemish Government (AI Research Program)
dc.identifier.doi10.1109/SEC54971.2022.00009
dc.identifier.eisbn978-1-6654-8611-8
dc.identifier.issnna
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/41124
dc.publisherIEEE COMPUTER SOC
dc.source.beginpage14
dc.source.conferenceIEEE/ACM 7th Symposium on Edge Computing (SEC)
dc.source.conferencedateDEC 05-08, 2022
dc.source.conferencelocationSeattle
dc.source.endpage25
dc.source.journalna
dc.source.numberofpages12
dc.subject.keywordsMEMORY
dc.title

Learn to Learn on Chip: Hardware-aware Meta-learning for Quantized Few-shot Learning at the Edge

dc.typeProceedings paper
dspace.entity.typePublication
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