Variational Continual Learning

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

For deep discriminative model tests, see README in ddm/.
For deep generative model tests, see README in dgm/.

Also has an implementation of the "Improving and Understanding Variational Continual Learning" paper by Swaroop, Nguyen, Bui, and Turner (2019).

See README in improved_ddm/

Contributors

Cuong V. Nguyen
Yingzhen Li
Thang D. Bui
Richard E. Turner
For "Improving and Understanding Variational Continual Learning", Siddharth Swaroop

References:

@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}
}

@article{swaroop2019improving,
  title = {Improving and Understanding Variational Continual Learning},
  url = {http://arxiv.org/abs/1905.02099},
  urldate = {2019-05-07},
  journal = {arXiv:1905.02099 [cs, stat]},
  author = {Swaroop, Siddharth and Nguyen, Cuong V. and Bui, Thang D. and Turner, Richard E.},
  year = {2019},
}