"Robust adversarial uncertainty quantification for deep learning fine-tuning."

> Home

Details and statistics

DOI: 10.1007/S11227-023-05087-5

access: open

type: Withdrawn Item

metadata version: 2024-05-11

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/tjs/AhmedL23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/tjs/AhmedL23
(Withdrawn) Robust adversarial uncertainty quantification for deep learning fine-tuning. J. Supercomput. 79(10): 11355-11386 (2023)

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.