Solacex / Domain-Consensus-Clustering

Why do you use the labels of target domain (i.e. t_label) to calculate loss during training models?I think the use of 't_label' is forbidden for unsupervised learning tasks.
PS: .\trainer\dcc1_trainer.py:
class Trainer(BaseTrainer):
def iter(self, i_iter):
......
en_loss = self.memory.forward(t_feat, t_label, self.config.t, False)

Hello,
We did not use the ground truth of target samples, the t_label you mentioned is the pseudo label that obtained through clustering. For details, you can refer to

Domain-Consensus-Clustering/dataset/__init__.py

Line 107 in 5a626e1

    
           def init_target_dataset(config, plabel_dict, tgt_class_set, length=None, uk_list=None, binary_label=None):

Thanks for your prompt reply. It is my negligence. :)

I think the use of 't_label' is forbidden for unsupervised learning tasks when training.