# Mikoto10032/AutomaticWeightedLoss

<https://repo.masters-masters.com/en/repos/Mikoto10032/AutomaticWeightedLoss>

[Home](https://repo.masters-masters.com/en) › [Mikoto10032](https://repo.masters-masters.com/en/owners/Mikoto10032) › [AutomaticWeightedLoss](https://repo.masters-masters.com/en/repos/Mikoto10032/AutomaticWeightedLoss)

Mikoto10032/AutomaticWeightedLoss has 651 stars on GitHub. Its RepoMasters card: Alpha tier. Multi-task learning using uncertainty to weigh losses for scene…

| Field | Value |
| --- | --- |
| Owner | [Mikoto10032](https://repo.masters-masters.com/en/owners/Mikoto10032) |
| Stars | 651 |
| Forks | 85 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2020 |
| Topics | multi-task, multi-task-learning, weigh-losses, auxiliary-tasks, pytorch, deep-learning |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [Mikoto10032/AutomaticWeightedLoss](https://github.com/Mikoto10032/AutomaticWeightedLoss) |

## Repository

Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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