# hongxin001/logitnorm\_ood

<https://repo.masters-masters.com/en/repos/hongxin001/logitnorm_ood>

[Home](https://repo.masters-masters.com/en) › [hongxin001](https://repo.masters-masters.com/en/owners/hongxin001) › [logitnorm\_ood](https://repo.masters-masters.com/en/repos/hongxin001/logitnorm_ood)

hongxin001/logitnorm\_ood has 154 stars on GitHub. Its RepoMasters card: Prototype tier. Official code for ICML 2022: Mitigating Neural Network Overconfidence…

| Field | Value |
| --- | --- |
| Owner | [hongxin001](https://repo.masters-masters.com/en/owners/hongxin001) |
| Stars | 154 |
| Forks | 14 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2022 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [hongxin001/logitnorm\_ood](https://github.com/hongxin001/logitnorm_ood) |

## Repository

Official code for ICML 2022: Mitigating Neural Network Overconfidence with Logit Normalization

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.