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Class-incremental learning with Brain-Inspired Replay in the T&E framework

Besides Brain-Inspired Replay (BI-R), we have currently implemented simple fine-tuning (None), Synaptic Intelligence (SI) and Learning without Forgetting (LwF) as baseline methods.

To run each of these methods, use the following:

  • None: python train_cifar100_incremental
  • LwF: python train_cifar100_incremental --lwf
  • SI: python train_cifar100_incremental --si
  • BI-R: python train_cifar100_incremental --bir
  • BI-R + SI: python train_cifar100_incremental --bir --si

Log-files for evaluating performance should be produced by running any of the above commands, but we are still working on evaluating these log-files using the l2metrics-environment.

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Implementation of BI-R in T&E framework.

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