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26 Open 1 Closed
26 Open 1 Closed
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Issues list

How to adapt when the dataset of the target domain is much smaller than source domain
#30 opened Nov 8, 2023 by universe27king
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())
#28 opened Aug 27, 2021 by zzzpc
2
Could you verify the implementation? Acc = 11% after domain adaptation
#27 opened Jun 6, 2021 by lindagaw
5
RNN network invalid
#26 opened Jan 6, 2021 by zhangqingqing24630
1
Question about the USPS dataset
#25 opened Dec 31, 2020 by GaochangWu
2
something about eval
#24 opened Dec 4, 2019 by mrsempress
The adaptation does not work
#23 opened Aug 15, 2019 by ZhangC2
1
d_loss and accuracy
#22 opened Jul 12, 2019 by Dr-Zhou
8
error about mnist data shape
#21 opened Jun 3, 2019 by SpiritBear000
7
ERROR!!!
#20 opened May 27, 2019 by jiebiandeshitou
1
Questions about zero_grad()
#19 opened Jan 30, 2019 by omg777
I can't download
#18 opened Dec 28, 2018 by OilGao
I can't download
#17 opened Dec 28, 2018 by OilGao
Question about the loss
#16 opened Dec 23, 2018 by taylover-pei
1
Adaptation leads to lower precision.
#15 opened Oct 18, 2018 by TGISer
7
Two feature maps output from discriminator?
#14 opened Sep 18, 2018 by aasharma90
Anybody visualized feature adaptation?
#13 opened Sep 18, 2018 by aasharma90
Pretrain+Finetune results?
#12 opened Sep 3, 2018 by jinfengr
Criterion problem
#11 opened Aug 24, 2018 by chihhuiho
2
0% accuracy with pytorch >= 0.4.0
#10 opened Jul 12, 2018 by williford
4
adaptation question, discriminator acc=0.5 representing best adaptation?
#9 opened May 9, 2018 by dupanfei1
2
accuracy just 13% after adaptation?
#8 opened Apr 26, 2018 by dupanfei1
8
Thanks ! + testing the "src_only" baseline ...
#7 opened Apr 24, 2018 by emmanuelrouxfr
3
USPS to MNIST
#3 opened Jan 17, 2018 by redhat12345
2
Losses
#2 opened Jan 16, 2018 by redhat12345
4
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