Without recitfying pseudo label in Stage 2

[yihong-97]

If I want to run the code without rectifying the pseudo label, I am confused that why in stage 2 the loss weight lambda-kl-target is set to 0? (From README) From Eq.9 of the IJCAI2020 paper, I understand the KL-divergence loss is should be used. Thanks

[layumi]

If you want to run the code without rectifying pseudo label, please change [this line] to 'from trainer_ms import AD_Trainer', which would apply the conventional pseudo label learning.