"Why ReLU networks yield high-confidence predictions far away from the ..."

Matthias Hein, Maksym Andriushchenko, Julian Bitterwolf (2019)

> Home

Details and statistics

DOI: —

access: open

type: Conference or Workshop Paper

metadata version: 2019-12-18

- view
  - electronic edition @ thecvf.com (open access)
- export record
  dblp key:
  - conf/cvpr/0001AB19a
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/cvpr/0001AB19a
Matthias Hein, Maksym Andriushchenko, Julian Bitterwolf:
Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem. CVPR Workshops 2019: 58-74

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.