"Uncertainty Quantification in Deep Learning."

Lingkai Kong et al. (2023)

> Home

Details and statistics

DOI: 10.1145/3580305.3599577

access: closed

type: Conference or Workshop Paper

metadata version: 2023-08-20

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/kdd/KongKCPZ23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/kdd/KongKCPZ23
Lingkai Kong, Harshavardhan Kamarthi, Peng Chen, B. Aditya Prakash, Chao Zhang:
Uncertainty Quantification in Deep Learning. KDD 2023: 5809-5810

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.