A review of uncertainty quantification in deep learning: Techniques, applications and challenges

Abdar, Moloud; Pourpanah, F; Hussain, S; Rezazadegan, D; Liu, L; Ghavamzadeh, M; Fieguth, P; Cao, X; Khosravi, Abbas; Acharya, U R; Makarenkov, V; Nahavandi, Saeid

khosravi-areviewofuncertainty-2021.pdf (2.93 MB)

A review of uncertainty quantification in deep learning: Techniques, applications and challenges

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posted on 2021-01-01, 00:00 authored by Moloud Abdar, F Pourpanah, S Hussain, D Rezazadegan, L Liu, M Ghavamzadeh, P Fieguth, X Cao, Abbas KhosraviAbbas Khosravi, U R Acharya, V Makarenkov, Saeid NahavandiSaeid Nahavandi

A review of uncertainty quantification in deep learning: Techniques, applications and challenges

History

Journal

Information Fusion

Volume

76

Pagination

243 - 297

Publisher

Elsevier

Location

Amsterdam, The Netherlands

Publisher DOI

https://doi.org/10.1016/j.inffus.2021.05.008

Link to full text

http://doi.org/10.1016/j.inffus.2021.05.008

ISSN

1566-2535

eISSN

1872-6305

Language

English

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http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000684868400005&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a045e4b2bb1f2b747c68c720ec8913b7

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C1 Refereed article in a scholarly journal

A review of uncertainty quantification in deep learning: Techniques, applications and challenges

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