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Adaptive Plasticity Improvement for Continual Learning

Code for CVPR 2023 paper Adaptive Plasticity Improvement for Continual Learning.

Requisite

This code is implemented in PyTorch, and we have tested the code under the following environment settings:

  • python = 3.8.9
  • torch = 1.10.0
  • torchvision = 0.11.1

run for experiments

bash script/perform.sh Your_data_path Your_CUDA_id

Citation

If you find this code useful, please consider citing:

@inproceedings{liang2023adaptive,
  title={Adaptive Plasticity Improvement for Continual Learning},
  author={Liang, Yan-Shuo and Li, Wu-Jun},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={7816--7825},
  year={2023}
}

We would like to thank the authors of the following repositories (from which we borrowed code).

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The official implementation of the CVPR'2023 work Adaptive Plasticity Improvement for Continual Learning

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