Comments (2)
Hello author, Thanks for the release of the code of your paper.
After reading your paper and code, I wonder if the best 'lambda' for EWC ++ is 0 when you implemented EWC++ because in your CVPR_config file you said the lambda is 0.
If it is, they are just like fine-tuning? Thank you :-)
Hello, I suffer same case. I modify lambda to test other case but it does work well than lambda = 0 (indicate it is same as fine-tuning). Maybe it is unsuitable for online class-incremental scenario. This reason I forget what I have seen in other papers. You can try to find the reason from google scholar. ”Regularization Shortcomings for Continual Learning”
from online-continual-learning.
Hi @e0jun, thank you for your questions and thank @czjghost for your explanation.
If you read Section 8.2 of my survey paper, you can find a more detailed explanation about this.
I have also attached a list of papers that I refer to in the survey and you may find them helpful.
Incdet: In defense of elastic weight consolidation for incremental object detection
Regularization shortcomings for continual learning
Optimal continual learning has perfect memory and is np-hard
Please let me know if you have any other questions.
from online-continual-learning.
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