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

Keywords

Computer scienceVariety (cybernetics)Artificial intelligenceField (mathematics)Deep learningMachine learningReinforcement learningUncertainty quantificationData scienceImage processingImage (mathematics)

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Publication Info

Year: 2021
Type: review
Volume: 76
Pages: 243-297
Citations: 2080
Access: Closed

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APA Style

                            
                                    Moloud Abdar, 
                                
                                    Farhad Pourpanah, 
                                
                                    Sadiq Hussain
                                
                                et al.
                            
                            (2021). 
                            A review of uncertainty quantification in deep learning: Techniques, applications and challenges. 
                            Information Fusion
                            , 76
                            
                            , 243-297.
                            https://doi.org/10.1016/j.inffus.2021.05.008

Identifiers

DOI: 10.1016/j.inffus.2021.05.008