# declare-lab/Multimodal-Infomax

<https://repo.masters-masters.com/en/repos/declare-lab/Multimodal-Infomax>

[Home](https://repo.masters-masters.com/en) › [declare-lab](https://repo.masters-masters.com/en/owners/declare-lab) › [Multimodal-Infomax](https://repo.masters-masters.com/en/repos/declare-lab/Multimodal-Infomax)

declare-lab/Multimodal-Infomax has 205 stars on GitHub. Its RepoMasters card: Prototype tier. This repository contains the official implementation code of the…

| Field | Value |
| --- | --- |
| Owner | [declare-lab](https://repo.masters-masters.com/en/owners/declare-lab) |
| Stars | 205 |
| Forks | 36 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2021 |
| Topics | multimodal-deep-learning, multimodal-fusion, multimodal-sentiment-analysis |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [declare-lab/Multimodal-Infomax](https://github.com/declare-lab/Multimodal-Infomax) |

## Repository

This repository contains the official implementation code of the paper Improving Multimodal Fusion with Hierarchical Mutual Information Maximization for Multimodal Sentiment Analysis, accepted at EMNLP 2021.

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.