-
Notifications
You must be signed in to change notification settings - Fork 113
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 fixed weights from a grid search experiments setting #12
Comments
Hi. Thanks for the interest. Ofcourse, you might get even better results if you further try to adjust the weights through trial-and-error. However, I find that the proposed method works well in practice. Good luck. |
Thank you so much for the suggestions. For the Adam optimizer, does amsgrad parameter need to be set to True? Best. |
Hi @ganlumomo I only explored with the regular Adam optimizer and SGD (see the get_optimizer function in utils/common_config.py). |
Hi, I am very impressed by your survey on MTL, from which I have learned a lot.
I am currently working on a MTL project, so I am very curious about the grid search experiments for the fixed weights.
I have not found details about this in your paper as well as this repo. Could you give me more information on this?
What exactly are those grid search weighs? And you used all the combinations of those weights to train the MTL network and evaluate it? If I want to find the best weights for my MTL network, I need to do the same experiments? Could you give me some suggestions on this?
Thank you so much!
The text was updated successfully, but these errors were encountered: