MCX

> https://github.com/kekmodel/FixMatch-pytorch/blob/10db592088432a0d18f95d74a2e3f6a2dbc25518/dataset/cifar.py#L102-L106 > > For each GPU, the corresponding process will create a CIFAR dataset. Since we don't set the fixed seed, the idx is shuffled (line 104) in different...

> In my experiment, performance w/o the seed is substantially better than w/ a seed. I only ran once, so perhaps this is random variation, but I'm guessing this is...

Hi! Thanks for your interest in our paper! For BRATS, I didn't tune for the hyperparameters of mu and sigma and I simply used mu as 0.5. But I did...

But in general I suggest to start with mu as 0.5 and fix sigma.

> This paper is a great work for pseudo label. I have a question about the initial mu and sigma. Could you please tell me more details about empirically chosen...