Comments (1)
I set the lambda ascending is because I want to focus on classification task at the beginning.
In the original paper, the lambda is set in such way that at the end of training the classi cation loss and CORAL loss are roughly the same.
I think my linear lambda maybe too naive, or use a fixed lambda as your suggestion.
Thanks!
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Related Issues (19)
- Error !!! HOT 1
- A line in main.py(). HOT 1
- code about testing HOT 6
- Any update results like Deep CORAL paper ?
- self.target_fc never used HOT 1
- Why it's loss = loss/(4*d*4) ? HOT 1
- The point of self.target_fc? HOT 1
- Error in calculation of covariance matrix HOT 1
- CORAL loss is defined differently from the original paper HOT 9
- TypeError: unsupported operand type(s) for /: 'tuple' and 'int'
- I think you have a error. HOT 2
- Test accuracy is low than original test accuracy in the paper. HOT 20
- The CORAL Loss and Forbenius Norm is defined differently and the results dont match.
- Graph HOT 3
- Inputs to the CORAL loss HOT 3
- Correlation Loss HOT 13
- Pretrained model HOT 10
- Low Accuracy for SHVN ---> MNIST HOT 5
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