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variationalcontinuallearning's Introduction

Variational Continual Learning (VCL)

A PyTorch implementation of the Variational Continual Learning (VCL) algorithms proposed by Nguyen, Li, Bui, and Turner (ICLR 2018).

@inproceedings{nguyen2018variational,
  title = {Variational Continual Learning},
  author = {Nguyen, Cuong V. and Li, Yingzhen and Bui, Thang D. and Turner, Richard E.},
  booktitle = {International Conference on Learning Representations},
  year = {2018}
}

To run the Permuted MNIST experiment:

python run_permuted.py

To run the Split MNIST experiment:

python run_split.py

Requirements:

  • Torch 1.0
  • Python 3.6

Results

VCL in Deep discriminative models

Permuted MNIST

Split MNIST ... with Variational Generative Replay (VGR):

variationalcontinuallearning's People

Contributors

anonymous-vcl-rl-oxford avatar pakamienny avatar

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