HMSN : Hyperbolic Self-Supervised Learning by Clustering with Ideal Prototypes

dc.contributor.author	Durrant, Aiden
dc.contributor.author	Leontidis, Georgios
dc.contributor.institution	University of Aberdeen.Computing Science	en
dc.contributor.institution	University of Aberdeen.Machine Learning	en
dc.date.accessioned	2023-06-27T13:45:01Z
dc.date.available	2023-06-27T13:45:01Z
dc.date.issued	2023-05-18
dc.format.extent	12
dc.format.extent	1401240
dc.identifier	255525899
dc.identifier	f31f666a-ae62-4e61-ae96-56d14403dee7
dc.identifier.citation	Durrant, A & Leontidis, G 2023 'HMSN : Hyperbolic Self-Supervised Learning by Clustering with Ideal Prototypes' ArXiv, pp. 1-12. https://doi.org/10.48550/arXiv.2305.10926	en
dc.identifier.doi	10.48550/arXiv.2305.10926
dc.identifier.other	ORCID: /0000-0001-6671-5568/work/137686590
dc.identifier.other	ORCID: /0000-0002-8375-4523/work/148505712
dc.identifier.uri	https://hdl.handle.net/2164/21022
dc.identifier.url	https://arxiv.org/pdf/2305.10926.pdf	en
dc.language.iso	eng
dc.publisher	ArXiv
dc.relation.ispartof		en
dc.subject	Machine Learning	en
dc.subject	Deep Learning	en
dc.subject	Self-Supervised Learning	en
dc.subject	Hyperbolic Learning	en
dc.subject	T Technology	en
dc.subject	QA76 Computer software	en
dc.subject.lcc	T	en
dc.subject.lcc	QA76	en
dc.title	HMSN : Hyperbolic Self-Supervised Learning by Clustering with Ideal Prototypes	en
dc.type	Preprint	en

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