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sverma88 committed Sep 3, 2019
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Expand Up @@ -3,3 +3,29 @@ DeepCU: Integrating Both Common and Unique Latent Information for Multimodal Sen


![alt text](https://github.com/sverma88/DeepCU-IJCAI19/blob/master/figures/DeepCU.jpg)

## Citation
When using this code, or the ideas of DeepNCM, please cite the following paper ([openreview](https://openreview.net/forum?id=rkPLZ4JPM))

@INPROCEEDINGS{guerriero18openreview,
author = {Sunny Verma and Chen Wang and Liming Zhu and Wei Liu},
title = DeepCU: Integrating both Common and Unique Latent Information for Multimodal Sentiment Analysis},
booktitle = {Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, {IJCAI} 2019, Macao},
pages = {3627--3634},
year = {2019},
}

### Dependencies / Notes
DeepCU is written in python3 with some code fragments copied from DCGAN implementation from Carpedm20.
- The code is developed with Python 3.6 and TensorFlow 1.12.0 (with GPU support) on Linux
- For reasons of my convenience, `data_dir` is required to be `data_dir = ../../data` -- errors might pop-up when other directories are used.
- The experiments (main.py) - loads pretrained model and executes test (i.e. prediction with our trained model). If you wish to train on your own data, please edit as deep_cu.train(FLAGS).

# Future research (ideas)
- Better Fusion scheme for utilizing both common and unique latent information
- Cross Data Generelaization Performance


Please contact me when you're interested to collaborate on this!

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