xxxnell / spatial-smoothing

(ICML 2022) Official PyTorch implementation of “Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness”.

Date Created 2020-12-31 (3 years ago)

Commits 63 (last one 2 years ago)

Stargazers 78 (0 this week)

Watchers 3 (0 this week)

Forks 7

License apache-2.0

Ranking

RepositoryStats indexes 595,856 repositories, of these xxxnell/spatial-smoothing is ranked #348,284 (42nd percentile) for total stargazers, and #427,587 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #65,624/119,431.

xxxnell/spatial-smoothing is also tagged with popular topics, for these it's ranked: pytorch (#4,030/6025), neural-network (#786/1108)

Other Information

Homepage URL: https://arxiv.org/abs/2105.12639

All Topics

pytorch robustness uncertainty neural-network bayesian-deep-learning uncertainty-estimation bayesian-neural-networks uncertainty-quantification

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6 commits on the default branch (master) since jan '22

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updated: 2024-11-29 @ 09:26pm, id: 325800682 / R_kgDOE2tS6g