https://github.com/epfml/uncertainity-estimation

Code for the paper “The Peril of Popular Deep Learning Uncertainty Estimation Methods”
https://github.com/epfml/uncertainity-estimation

Last synced: 10 months ago
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Code for the paper “The Peril of Popular Deep Learning Uncertainty Estimation Methods”

• Host: GitHub
• URL: https://github.com/epfml/uncertainity-estimation
• Owner: epfml
• License: mit
• Created: 2021-12-07T15:29:40.000Z (about 4 years ago)
• Default Branch: main
• Last Pushed: 2021-12-09T09:26:07.000Z (about 4 years ago)
• Last Synced: 2025-04-18T16:15:40.014Z (11 months ago)
• Language: Jupyter Notebook
• Size: 37.1 KB
• Stars: 8
• Watchers: 5
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Uncertainty Estimation Methods

Code for the paper “The Peril of Popular Deep Learning Uncertainty Estimation Methods”

## Reference

If you use this code, please cite the following paper

```

@inproceedings{liu2021perils,

  title={The Peril of Popular Deep Learning Uncertainty Estimation Methods},

  author={Yehao Liu and Matteo Pagliardini and Tatjana Chavdarova and Sebastian U. Stich},

  booktitle={Bayesian Deep Learning (BDL) Workshop at NeurIPS 2021},

  year={2021}

}