$ python first_step_train.py --gpu 0 --out first_sn07 --learnrate 0.08 --alpha 1.2 --beta 0.8 --percent 0.7
$ python second_step_train.py --gpu 0 --out second_sn07 --label first_sn07

$ python first_step_train.py --gpu 0 --out first_an04 --learnrate 0.03 --alpha 0.8 --beta 0.4 --percent 0.4 --asym
$ python second_step_train.py --gpu 0 --out second_an04 --label first_an04

@inproceedings{tanaka2018joint,
    title = {Joint Optimization Framework for Learning with Noisy Labels},
    author = {Tanaka, Daiki and Ikami, Daiki and Yamasaki, Toshihiko and Aizawa, Kiyoharu},
    booktitle = {CVPR},
    year = {2018}
}