"A Review of Uncertainty Quantification in Deep Learning: Techniques, ..."

Moloud Abdar et al. (2020)

> Home

Details and statistics

DOI: —

access: open

type: Informal or Other Publication

metadata version: 2023-03-22

- view
  - electronic edition @ arxiv.org (open access)
- export record
  dblp key:
  - journals/corr/abs-2011-06225
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2011-06225
Moloud Abdar, Farhad Pourpanah, Sadiq Hussain, Dana Rezazadegan, Li Liu, Mohammad Ghavamzadeh, Paul W. Fieguth, Xiaochun Cao, Abbas Khosravi, U. Rajendra Acharya, Vladimir Makarenkov, Saeid Nahavandi:
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges. CoRR abs/2011.06225 (2020)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.