fungtion DANN issues - Githubissues

fungtion / DANN

pytorch implementation of Domain-Adversarial Training of Neural Networks

MIT License

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Is the objective function of DANN defined incorrectly in the paper?

#21 ugurcanakyuz closed 1 month ago
1
alpha

#19 kikiYa99 closed 2 years ago
4
mnist-m Dataset access

#18 JennyTurtleX closed 8 months ago
0
Data access

#17 QGJ1996 closed 3 years ago
0
Number of classes of domain classifier

#16 ilteralp closed 2 years ago
3
Does domain Adaptation really help the training

#15 Liujingxiu23 closed 2 years ago
3
Cooperation Proposal: fungtion/DANN & PaddlePaddle

#14 saxon-zh closed 2 years ago
0
err_t_domain and err_s_domain

#13 InstantWindy closed 4 years ago
10
Loss of domain classification part

#12 IpekUyguner closed 4 years ago
1
Question about ReverseLayer

#11 EmptyMoon-hub closed 2 years ago
1
ImportError: No module named dataset.data_loader

#10 tjzjp closed 5 years ago
1
Create LICENSE

#9 fungtion closed 5 years ago
0
RuntimeError: output with shape [1, 28, 28] doesn't match the broadcast shape [3, 28, 28]

#8 houchenyu closed 5 years ago
23
Question about updating the domain classifier parameters

#7 brijmohan closed 5 years ago
5
Why the achieved classification accuracy on MINIST-M is much higher than that of paper?

#6 AlanLuSun closed 5 years ago
2
loss is nan

#5 houchenyu closed 5 years ago
0
Can I use the code in pytorch0.4 and python3.6?

#4 taylover-pei closed 5 years ago
1
Question about ReverseLayerF

#3 songweige closed 5 years ago
7
Accuracy error unstable

#2 amarpazad closed 5 years ago
3
About the accuracy mismatch using the example code

#1 wsstriving closed 6 years ago
19