# antoyang/FrozenBiLM

<https://repo.masters-masters.com/en/repos/antoyang/FrozenBiLM>

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

antoyang/FrozenBiLM has 159 stars on GitHub. Its RepoMasters card: Prototype tier. \[NeurIPS 2022\] Zero-Shot Video Question Answering via Frozen Bidirectional…

| Field | Value |
| --- | --- |
| Owner | [antoyang](https://repo.masters-masters.com/en/owners/antoyang) |
| Stars | 159 |
| Forks | 19 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2022 |
| Topics | multimodal-learning, video-understanding, vqa, weakly-supervised-learning, large-language-models, pre-training, video-question-answering, videoqa, vision-and-language, visual-question-answering |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [antoyang/FrozenBiLM](https://github.com/antoyang/FrozenBiLM) |

## Repository

\[NeurIPS 2022\] Zero-Shot Video Question Answering via Frozen Bidirectional Language Models

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.