This project is used to update news related to our paper Automated Progressive Learning for Efficient Training of Vision Transformers (CVPR 2022).
AutoProg achieves efficient training by automatically increasing the training overload on-the-fly.
AutoProg can accelerate ViTs training by up to 85.1% with no performance drop.
Code will be released soon.
If you use our code for your paper, please cite:
@inproceedings{li2022autoprog,
author = {Li, Changlin and
Zhuang, Bohan and
Wang, Guangrun and
Liang, Xiaodan and
Chang, Xiaojun and
Yang, Yi},
title = {Automated Progressive Learning for Efficient Training of Vision Transformers},
booktitle = {CVPR},
year = 2022,
}