Comments (2)
Hi, I'm sorry for the late reply, your message got buried somewhere.
To run the baselines you mention, you can use the following code:
- Joint training:
./main_cl.py --replay=offline
- None (simple sequential learnign):
./main_cl.py --replay=none
Note that you can also leave out --replay=none
, as this is the default.
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Hey,
Thank you for the reply.
I went through the compare_[dataset].py files and figured out the parameters for none and joint baselines.
Just wanted to make sure that these were the only parameters which are passed in the command line.
Once again, thank you very much @GMvandeVen .
from brain-inspired-replay.
Related Issues (12)
- where i got confuse HOT 1
- xdg_prop attribute HOT 1
- Allowing an option to reproduce the code but on arbitrary datasets HOT 9
- How to reload model and predict? HOT 2
- Regarding the "reinitialization of networks" HOT 2
- result for 'scenario = class' HOT 2
- Unable to reproduce the results HOT 13
- Can't run cmopare_permMNIST100_bir.py HOT 2
- pre-trained model HOT 2
- Precision or Accuracy? HOT 4
- What is the role of replay_mode='current' here HOT 2
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