# VITA-Group/AugMax

<https://repo.masters-masters.com/en/repos/VITA-Group/AugMax>

[Home](https://repo.masters-masters.com/en) › [VITA-Group](https://repo.masters-masters.com/en/owners/VITA-Group) › [AugMax](https://repo.masters-masters.com/en/repos/VITA-Group/AugMax)

VITA-Group/AugMax has 125 stars on GitHub. Its RepoMasters card: Prototype tier. \[NeurIPS'21\] "AugMax: Adversarial Composition of Random Augmentations for…

| Field | Value |
| --- | --- |
| Owner | [VITA-Group](https://repo.masters-masters.com/en/owners/VITA-Group) |
| Stars | 125 |
| Forks | 21 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2021 |
| Topics | imagenet-c, model-robustness, adversarial-learning, normalization-techniques, out-of-distribution |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [VITA-Group/AugMax](https://github.com/VITA-Group/AugMax) |

## Repository

\[NeurIPS'21\] "AugMax: Adversarial Composition of Random Augmentations for Robust Training" by Haotao Wang, Chaowei Xiao, Jean Kossaifi, Zhiding Yu, Animashree Anandkumar, and Zhangyang Wang.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.