ART-IPCA

Overview

Code for ICLR '23 Tiny Paper "A Simple, Fast Algorithm for Continual Learning from High-Dimensional Data"

Paper available here: https://openreview.net/forum?id=TPTbHxeR6U

Files

• model.py: model described in Algorithm $1$ of the paper implemented in sklearn-like interface
• all_metrics.py: code for sequential training and testing, outputs 'meta-table' of results on task $i$ after learning task $j$
• demo.ipynb: jupyter notebook demonstrating functionality on the MNIST dataset

Requirements

• numpy 1.21.2+
• scikit-learn 1.0.2+

Citation

@misc{
ashtekar2023a,
title={A Simple, Fast Algorithm for Continual Learning from High-Dimensional Data},
author={Neil Ashtekar and Vasant G Honavar},
year={2023},
url={https://openreview.net/forum?id=TPTbHxeR6U}
}

Questions?

Please reach out to nca5096@psu.edu