Related Issues (20)
- 0% accuracy with pytorch >= 0.4.0 HOT 4
- Criterion problem HOT 2
- Pretrain+Finetune results?
- Anybody visualized feature adaptation?
- Two feature maps output from discriminator?
- Adaptation leads to lower precision. HOT 7
- Question about the loss HOT 1
- I can't download
- I can't download
- Questions about zero_grad()
- ERROR!!! HOT 1
- error about mnist data shape HOT 7
- d_loss and accuracy HOT 8
- The adaptation does not work HOT 1
- something about eval
- Question about the USPS dataset HOT 2
- RNN network invalid HOT 1
- Could you verify the implementation? Acc = 11% after domain adaptation HOT 5
- why in adapt.py line 91 label_tgt = make_variable(torch.ones(feat_tgt.size(0)).long())? I think label_tgt = make_variable(torch.zeros(feat_tgt.size(0)).long()) HOT 2
- How to adapt when the dataset of the target domain is much smaller than source domain
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from pytorch-adda.