# jpthu17/EMCL

<https://repo.masters-masters.com/en/repos/jpthu17/EMCL>

[Home](https://repo.masters-masters.com/en) › [jpthu17](https://repo.masters-masters.com/en/owners/jpthu17) › [EMCL](https://repo.masters-masters.com/en/repos/jpthu17/EMCL)

jpthu17/EMCL has 149 stars on GitHub. Its RepoMasters card: Prototype tier. \[NeurIPS 2022 Spotlight\] Expectation-Maximization Contrastive Learning for Compact…

| Field | Value |
| --- | --- |
| Owner | [jpthu17](https://repo.masters-masters.com/en/owners/jpthu17) |
| Stars | 149 |
| Forks | 9 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2022 |
| Topics | cross-modal-retrieval, neurips, video-captioning, video-question-answering, video-retrieval |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [jpthu17/EMCL](https://github.com/jpthu17/EMCL) |

## Repository

\[NeurIPS 2022 Spotlight\] Expectation-Maximization Contrastive Learning for Compact Video-and-Language Representations

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.