You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
I just run the code using default setting of weight of _lambda , and i observe very tiny difference between testing accuracy of source and target. In the other hand, fixed value of 1 shows better result.
result of ascending _lambda ( _lambda = (e+1)/EPOCHS)
result of descending _lambda ( _lambda = (EPOCHS-e)/EPOCHS)
result of fixed _lambda ( _lambda = 1)
The text was updated successfully, but these errors were encountered:
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 classication 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!
I just run the code using default setting of weight of _lambda , and i observe very tiny difference between testing accuracy of source and target. In the other hand, fixed value of 1 shows better result.
result of ascending _lambda ( _lambda = (e+1)/EPOCHS)
result of descending _lambda ( _lambda = (EPOCHS-e)/EPOCHS)
result of fixed _lambda ( _lambda = 1)
The text was updated successfully, but these errors were encountered: