This is an unofficial PyTorch implementation of the continual learning experiments described in the following paper:
https://www.overleaf.com/read/cghtkvkvhmnj
- implement prior- and likelihood-focused continual learning approaches, in particular VCL+coresets and VGR models
- test models permuted MNIST, split MNIST
- compare results
- Alexey Topolnitskiy
- Alsu Sagirova
To install all required packages, run the following command:
pip install -r requirements.txt
To run the experiments you can use IPython notebooks from the notebooks folder