question about then loss function about learning-loss-for-active-learning HOT 3 OPEN

Yeah, the loss function I implemented in this repository is exactly the same as the one in the reference paper. Take a look at the formula (2) on page 96. LL4AL paper link
If you mean the 'target loss' for the CIFAR10 classification task, I think the authors use cross-entropy loss according to the 3rd-6th line of page 98. Since the cross-entropy loss is a typical choice for the CIFAR10 classification task.

from learning-loss-for-active-learning.

Thanks for your reply about loss loss function。
I ran into another problem during the experiment。When using the initialized data set for the first training on the paper，The method of this paper and other methods have achieved almost the same accuracy。I refer to your code, tried many times but couldn't do this. The method in this paper uses the target model and lossnet, while other methods only use the target model. So how did they get the same accuracy in the first training?

from learning-loss-for-active-learning.

Thanks for your reply about loss loss function。
I ran into another problem during the experiment。When using the initialized data set for the first training on the paper，The method of this paper and other methods have achieved almost the same accuracy。I refer to your code, tried many times but couldn't do this. The method in this paper uses the target model and lossnet, while other methods only use the target model. So how did they get the same accuracy in the first training?

helllo,did you finish the problem?

from learning-loss-for-active-learning.