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Article: Fat: Learning low-bitwidth parametric representation via frequency-aware transformation,

TitleFat: Learning low-bitwidth parametric representation via frequency-aware transformation,
Authors
Issue Date2022
Citation
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), IF:14.25, 2022 How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/315508

 

DC FieldValueLanguage
dc.contributor.authorTAO, C-
dc.contributor.authorLuo, P-
dc.contributor.authorWong, N-
dc.date.accessioned2022-08-19T08:59:12Z-
dc.date.available2022-08-19T08:59:12Z-
dc.date.issued2022-
dc.identifier.citationIEEE Transactions on Neural Networks and Learning Systems (TNNLS), IF:14.25, 2022-
dc.identifier.urihttp://hdl.handle.net/10722/315508-
dc.languageeng-
dc.relation.ispartofIEEE Transactions on Neural Networks and Learning Systems (TNNLS), IF:14.25-
dc.titleFat: Learning low-bitwidth parametric representation via frequency-aware transformation,-
dc.typeArticle-
dc.identifier.emailLuo, P: pluo@hku.hk-
dc.identifier.emailWong, N: nwong@eee.hku.hk-
dc.identifier.authorityLuo, P=rp02575-
dc.identifier.authorityWong, N=rp00190-
dc.identifier.hkuros335548-

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