PatchUp: A Feature-Space Block-Level Regularization Technique for Convolutional Neural Networks

Mojtaba Faramarzi, Mohammad Amini, Akilesh Badrinaaraayanan, Vikas Verma and Sarath Chandar Anbil Parthipan

Paper (2022)

An external link is available for this item

Department:	Department of Computer Engineering and Software Engineering
PolyPublie URL:	https://publications.polymtl.ca/52626/
Conference Title:	36th AAAI Conference on Artificial Intelligence (AAAI 2022)
Conference Date(s):	2022-02-22 - 2022-03-01
DOI:	10.1609/aaai.v36i1.19938
Official URL:	https://doi.org/10.1609/aaai.v36i1.19938
Date Deposited:	18 Apr 2023 14:58
Last Modified:	25 Sep 2024 16:43

Cite in APA 7:	Faramarzi, M., Amini, M., Badrinaaraayanan, A., Verma, V., & Anbil Parthipan, S. C. (2022, February). PatchUp: A Feature-Space Block-Level Regularization Technique for Convolutional Neural Networks [Paper]. 36th AAAI Conference on Artificial Intelligence (AAAI 2022). https://doi.org/10.1609/aaai.v36i1.19938
APA 7 (HTML)ASCII CitationAtomBibTeXDOIsDublin CoreEndNote (.ENW)MARC (ISO 2709/UTF-8) (.MRC)MARC (UTF-8) (.MRK8)MARC XMLMPEG-21 DIDLMultiline CSVOAI-ORE Resource Map (Atom Format)OPENAIREOpenURL ContextObjectOpenURL ContextObject in SpanRDF+N-TriplesRDF+N3RDF+XMLReferReference Manager (.RIS)Répertoire des publications (EndNote)Simple Metadata

Statistics

Repository Staff Only