Awesome
Generative Interventions for Causal Learning
Code from the paper Generative Interventions for Causal Learning.
If you use this code, please consider citing the paper as:
@InProceedings{Mao_2021_CVPR,
author = {Mao, Chengzhi and Cha, Augustine and Gupta, Amogh and Wang, Hao and Yang, Junfeng and Vondrick, Carl},
title = {Generative Interventions for Causal Learning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2021},
pages = {3947-3956}
}
@article{mao2020generative,
title={Generative Interventions for Causal Learning},
author={Chengzhi Mao and Augustine Cha and Amogh Gupta and Hao Wang and Junfeng Yang and Carl Vondrick},
year={2020},
eprint={2012.12265},
journal={arXiv},
}
Motivating Example: colored MNIST
Please go to ColorMNIST
for instructions
Data Preparation
Generate data for GenInt
Please go to IntervenedGAN
folder and follow the instruction in README.md and SETUP.md
Generate data for Observational GAN
Please go to BigGAN
folder and follow instruction in README.md
Training the ImageNet models (download pretrained models)
Please go to training
folder and follow the instructions in README.md