Skip to content
New issue

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

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

Already on GitHub? Sign in to your account

About freeze #10

Open
lou-yimin opened this issue Sep 28, 2024 · 1 comment
Open

About freeze #10

lou-yimin opened this issue Sep 28, 2024 · 1 comment

Comments

@lou-yimin
Copy link

Tranks fro your work.
Does the LIFT result in the paper come from a model where the backbone is frozen?

@MogicianXD
Copy link
Member

MogicianXD commented Sep 29, 2024

When the backbone is small (e.g., DLinear), we jointly train LIFT and a randomly initialized backbone.

As for PatchTST, Crossformer, and MTGNN, most results are based on a frozen backbone. Empirically, there is little difference between the two training schemes. We recommend building LIFT on a pretrained and frozen backbone so as to save time costs.

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

No branches or pull requests

2 participants