# wenliangdai/Multimodal-End2end-Sparse

<https://repo.masters-masters.com/en/repos/wenliangdai/Multimodal-End2end-Sparse>

[Home](https://repo.masters-masters.com/en) › [wenliangdai](https://repo.masters-masters.com/en/owners/wenliangdai) › [Multimodal-End2end-Sparse](https://repo.masters-masters.com/en/repos/wenliangdai/Multimodal-End2end-Sparse)

wenliangdai/Multimodal-End2end-Sparse has 108 stars on GitHub. Its RepoMasters card: Prototype tier. The code repository for NAACL 2021 paper "Multimodal…

| Field | Value |
| --- | --- |
| Owner | [wenliangdai](https://repo.masters-masters.com/en/owners/wenliangdai) |
| Stars | 108 |
| Forks | 15 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2021 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [wenliangdai/Multimodal-End2end-Sparse](https://github.com/wenliangdai/Multimodal-End2end-Sparse) |

## Repository

The code repository for NAACL 2021 paper "Multimodal End-to-End Sparse Model for Emotion Recognition".

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.