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 about a year ago)

Stargazers 73 (0 this week)

Watchers 3 (0 this week)

Forks 7

License apache-2.0

Ranking

RepositoryStats indexes 534,551 repositories, of these xxxnell/spatial-smoothing is ranked #335,947 (37th percentile) for total stargazers, and #398,999 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #61,492/103,470.

xxxnell/spatial-smoothing is also tagged with popular topics, for these it's ranked: pytorch (#3,879/5588), neural-network (#768/1029)

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: 2024-05-06 @ 05:19pm, id: 325800682 / R_kgDOE2tS6g