Hi Mr.kaidic

Firstly, Thanks for you sharing your code and paper.

I read your paper and used your code to be impressed.

As i read this paper, there are comments for 2 cases.

• 1. training set imbalance, test set is not, and their distributions are different.
• 1. training set imbalance, test set is also imbalnced, and their distributions are different.

But you know, unfortunately real data is more imabalanced and challenging.

• My data distribution is not only imbalanced in training set but in test set too.
  I mean both sets are imbalanced and have same distribution.
• and in my dataset some of classes even got 1 instance for 1 class. ( extremely low )

Then Here's my question to you.
Do you think this LDAM-DRW loss also works to this dataset?
I'm doing experiments changing betas, and delta j (m_list) so on.

i would be very much appreciated if you answer to me !
Ty so much kaidic :)

I am also considering the imbalance of test set, does LDAM-DRW work effectively when it used for imbalanced test set.

from ldam-drw.

My data distribution is similar with yours ! Have you found some hyperparameter settings work? Thanks a lot! :)

from ldam-drw.