dc.contributor.author | Satya Murthy, Nitish | |
dc.contributor.author | Vrancx, Peter | |
dc.contributor.author | Laubeuf, Nathan | |
dc.contributor.author | Debacker, Peter | |
dc.contributor.author | Catthoor, Francky | |
dc.contributor.author | Verhelst, Marian | |
dc.date.accessioned | 2023-06-06T10:06:39Z | |
dc.date.available | 2023-02-23T03:25:32Z | |
dc.date.available | 2023-06-06T10:06:39Z | |
dc.date.issued | 2022 | |
dc.identifier.issn | na | |
dc.identifier.other | WOS:000918607200002 | |
dc.identifier.uri | https://imec-publications.be/handle/20.500.12860/41124.3 | |
dc.source | WOS | |
dc.title | Learn to Learn on Chip: Hardware-aware Meta-learning for Quantized Few-shot Learning at the Edge | |
dc.type | Proceedings paper | |
dc.contributor.imecauthor | Satya Murthy, Nitish | |
dc.contributor.imecauthor | Vrancx, Peter | |
dc.contributor.imecauthor | Laubeuf, Nathan | |
dc.contributor.imecauthor | Debacker, Peter | |
dc.contributor.imecauthor | Catthoor, Francky | |
dc.contributor.imecauthor | Verhelst, Marian | |
dc.contributor.orcidimec | Vrancx, Peter::0000-0002-9876-3684 | |
dc.contributor.orcidimec | Laubeuf, Nathan::0000-0002-1592-755X | |
dc.contributor.orcidimec | Debacker, Peter::0000-0003-3825-5554 | |
dc.contributor.orcidimec | Catthoor, Francky::0000-0002-3599-8515 | |
dc.contributor.orcidimec | Verhelst, Marian::0000-0003-3495-9263 | |
dc.contributor.orcidimec | Satya Murthy, Nitish::0000-0003-0181-8069 | |
dc.identifier.doi | 10.1109/SEC54971.2022.00009 | |
dc.identifier.eisbn | 978-1-6654-8611-8 | |
dc.source.numberofpages | 12 | |
dc.source.peerreview | yes | |
dc.source.beginpage | 14 | |
dc.source.endpage | 25 | |
dc.source.conference | IEEE/ACM 7th Symposium on Edge Computing (SEC) | |
dc.source.conferencedate | DEC 05-08, 2022 | |
dc.source.conferencelocation | Seattle | |
dc.source.journal | na | |
imec.availability | Published - imec | |
dc.description.wosFundingText | This research received funding from the Flemish Government (AI Research Program) | |