Graph Optimal Transport framework for cross-domain alignment
Summary
In this work, both Gromov-Wasserstein and Wasserstein distance are applied to improve the performance of different cross-domain alignment tasks, such as VQA, Machine Translation, etc
Implemntation
Note that the VQA model is developed upon BAN model.
And the machine translation model is developed upon texar.
Citation
Please cite our ICML 2020 paper if you found the code useful.
@article{chen2020graph,
title={Graph Optimal Transport for Cross-Domain Alignment},
author={Chen, Liqun and Gan, Zhe and Cheng, Yu and Li, Linjie and Carin, Lawrence and Liu, Jingjing},
journal={ICML},
year={2020}
}