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dcterms:bibliographicCitation <http://dblp.uni-trier.de/rec/bibtex/conf/nanoarch/LiSJL22>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Han_Li>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Heng_Shi>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Honglan_Jiang>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Siting_Liu_0001>
foaf:homepage <http://dx.doi.org/doi.org%2F10.1145%2F3565478.3572530>
foaf:homepage <https://doi.org/10.1145/3565478.3572530>
dc:identifier DBLP conf/nanoarch/LiSJL22 (xsd:string)
dc:identifier DOI doi.org%2F10.1145%2F3565478.3572530 (xsd:string)
dcterms:issued 2022 (xsd:gYear)
rdfs:label HSB-GDM: a Hybrid Stochastic-Binary Circuit for Gradient Descent with Momentum in the Training of Neural Networks. (xsd:string)
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Han_Li>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Heng_Shi>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Honglan_Jiang>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Siting_Liu_0001>
swrc:pages 22:1-22:6 (xsd:string)
dcterms:partOf <https://dblp.l3s.de/d2r/resource/publications/conf/nanoarch/2022>
owl:sameAs <http://bibsonomy.org/uri/bibtexkey/conf/nanoarch/LiSJL22/dblp>
owl:sameAs <http://dblp.rkbexplorer.com/id/conf/nanoarch/LiSJL22>
rdfs:seeAlso <http://dblp.uni-trier.de/db/conf/nanoarch/nanoarch2022.html#LiSJL22>
rdfs:seeAlso <https://doi.org/10.1145/3565478.3572530>
swrc:series <https://dblp.l3s.de/d2r/resource/conferences/nanoarch>
dc:title HSB-GDM: a Hybrid Stochastic-Binary Circuit for Gradient Descent with Momentum in the Training of Neural Networks. (xsd:string)
dc:type <http://purl.org/dc/dcmitype/Text>
rdf:type swrc:InProceedings
rdf:type foaf:Document