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Continual Learning in Low-rank Orthogonal Subspaces (NeurIPS'20)

This is the official implementation of the Continual Learning in Low-rank Orthogonal Subspaces in Tensorflow v1. The code is built on top of AGEM repository.

@inproceedings{ChaudhryOrthogSubspaceCL,
    title={Continual Learning in Low-rank Orthogonal Subspaces},
    author={Chaudhry, Arslan and Khan, Naeemullah and Dokania, Puneet K and Torr, Philip HS},
    booktitle={NeurIPS},
    year={2020}
}

Download the miniImageNet dataset from here and place it under the miniImageNet_Dataset/ folder.

To replicate the results of the paper execute the following script:

$ ./replicate_results.sh

License

This source code is released under The MIT License found in the LICENSE file in the root directory of this source tree.