Skip to content
New issue

Have a question about this project? # for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “#”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? # to your account

can the dynamic method obtain a final compressed small dataset #9

Open
zhangxin-xd opened this issue Jul 18, 2023 · 2 comments
Open

Comments

@zhangxin-xd
Copy link

Hi, I have read your impressive paper and have a question about the dynamic manner:
can the dynamic method obtain a final compressed small dataset for cross-architecture evaluation?

@henryqin1997
Copy link
Collaborator

It is a good question, we will do some exploration on it. At this moment, my intuition is that if the pruned set becomes stable at later epochs, it can serve as a coreset selection methods (also may count how many times a sample is pruned and then select). But dynamic pruning method can take the benefit of assessing current learning status of samples, so whether it could obtain a final compressed small dataset and whether it would be good for cross-architecture is still to be investigated.

@zhangxin-xd
Copy link
Author

Thank you for the reply. I will keep an eye on the updates.

# for free to join this conversation on GitHub. Already have an account? # to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants