DC Field | Value | Language |
---|---|---|
dc.contributor.author | Gordon, Ariel | ko |
dc.contributor.author | Eban, Elad | ko |
dc.contributor.author | Nachum, Ofir | ko |
dc.contributor.author | Chen, Bo | ko |
dc.contributor.author | Wu, Hao | ko |
dc.contributor.author | Yang, Tien-Ju | ko |
dc.contributor.author | Choi, Edward | ko |
dc.date.accessioned | 2020-04-22T01:20:26Z | - |
dc.date.available | 2020-04-22T01:20:26Z | - |
dc.date.created | 2020-04-06 | - |
dc.date.created | 2020-04-06 | - |
dc.date.issued | 2018-06-18 | - |
dc.identifier.citation | 31st IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.1586 - 1595 | - |
dc.identifier.issn | 1063-6919 | - |
dc.identifier.uri | http://hdl.handle.net/10203/273960 | - |
dc.description.abstract | We present MorphNet, an approach to automate the design of neural network structures. MorphNet iteratively shrinks and expands a network, shrinking via a resource-weighted sparsifying regularizer on activations and expanding via a uniform multiplicative factor on all layers. In contrast to previous approaches, our method is scalable to large networks, adaptable to specific resource constraints (e.g. the number of floating-point operations per inference), and capable of increasing the network's performance. When applied to standard network architectures on a wide variety of datasets, our approach discovers novel structures in each domain, obtaining higher performance while respecting the resource constraint. | - |
dc.language | English | - |
dc.publisher | IEEE | - |
dc.title | MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks | - |
dc.type | Conference | - |
dc.identifier.wosid | 000457843601074 | - |
dc.identifier.scopusid | 2-s2.0-85058146752 | - |
dc.type.rims | CONF | - |
dc.citation.beginningpage | 1586 | - |
dc.citation.endingpage | 1595 | - |
dc.citation.publicationname | 31st IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) | - |
dc.identifier.conferencecountry | UK | - |
dc.identifier.conferencelocation | Salt Lake City, UT | - |
dc.identifier.doi | 10.1109/CVPR.2018.00171 | - |
dc.contributor.localauthor | Choi, Edward | - |
dc.contributor.nonIdAuthor | Gordon, Ariel | - |
dc.contributor.nonIdAuthor | Eban, Elad | - |
dc.contributor.nonIdAuthor | Nachum, Ofir | - |
dc.contributor.nonIdAuthor | Chen, Bo | - |
dc.contributor.nonIdAuthor | Wu, Hao | - |
dc.contributor.nonIdAuthor | Yang, Tien-Ju | - |
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