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

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

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

Version 2 2024-06-05, 12:06

Version 1 2021-06-04, 08:22

journal contribution

posted on 2024-06-05, 12:06 authored by M Abdar, F Pourpanah, S Hussain, D Rezazadegan, L Liu, M Ghavamzadeh, P Fieguth, X Cao, Abbas KhosraviAbbas Khosravi, UR Acharya, V Makarenkov, S Nahavandi

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

History

Journal

Information Fusion

Volume

76

Pagination

243-297

Location

Amsterdam, The Netherlands

Publisher DOI

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

Open access

Yes

Link to full text

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

ISSN

1566-2535

eISSN

1872-6305

Language

English

Author URL

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

Publication classification

C1 Refereed article in a scholarly journal

Publisher

Elsevier

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

History

Journal

Volume

Pagination

Location

Publisher DOI

Open access

Link to full text

ISSN

eISSN

Language

Author URL

Publication classification

Publisher

Usage metrics

Categories

Keywords

Licence

Exports