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Pushing the Limits of Sparsity : A Bag of Tricks for Extreme Pruning

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dc.contributor.authorLi, Andy
dc.contributor.authorDurrant, Aiden
dc.contributor.authorMarkovic, Milan
dc.contributor.authorHuang, Tianjin
dc.contributor.authorKundu, Souvik
dc.contributor.authorChen, Tianlong
dc.contributor.authorYin, Lu
dc.contributor.authorLeontidis, Georgios
dc.contributor.institutionUniversity of Aberdeen.Natural & Computing Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Computing Scienceen
dc.contributor.institutionUniversity of Aberdeen.Trusted Things and Communitiesen
dc.contributor.institutionUniversity of Aberdeen.Vice Principalsen
dc.date.accessioned2025-12-09T11:26:01Z
dc.date.issued2025-12-01
dc.descriptionur work was supported by the UKRI EPSRC funding council (EP/V042270/1), a University of Aberdeen PhD studentship, the HPC facility ”Maxwell”, and the Interdisciplinary Institute.en
dc.description.statusPeer revieweden
dc.format.extent15
dc.format.extent777183
dc.identifier311468233
dc.identifier4d7cfa94-0208-40f7-b471-0d54f502fb98
dc.identifier.citationLi, A, Durrant, A, Markovic, M, Huang, T, Kundu, S, Chen, T, Yin, L & Leontidis, G 2025, 'Pushing the Limits of Sparsity : A Bag of Tricks for Extreme Pruning', Transactions on Machine Learning Research, vol. 11/2025, 5122. < https://openreview.net/pdf?id=XX9JdOJD8R >en
dc.identifier.issn2835-8856
dc.identifier.otherORCID: /0000-0001-6671-5568/work/199810383
dc.identifier.otherORCID: /0000-0002-8375-4523/work/199810486
dc.identifier.urihttps://hdl.handle.net/2164/26513
dc.identifier.urlhttps://openreview.net/pdf?id=XX9JdOJD8Ren
dc.language.isoeng
dc.relation.ispartofTransactions on Machine Learning Researchen
dc.subjectSubstantive link via an eligible employment contracten
dc.subject2040 Data and Artificial Intelligenceen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subject.lccQA75en
dc.titlePushing the Limits of Sparsity : A Bag of Tricks for Extreme Pruningen
dc.typeJournal articleen

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