toil2sweet / crnet

Official Implementation of "CRNet: A Fast Continual Learning Framework with Random Theory" paper

CRNet

This repository provides a simple implementation of our work entitled CRNet: A Fast Continual Learning Framework with Random Theory (TPAMI 2023)

Installation & Requirements

The current version of the codes has been tested with Python 3.7.13 on both Windows and Linux operating systems with the following versions of requirements: numpy==1.17.0 scipy==1.5.0 scikit-learn==0.23.1 torch==1.10.2 torchvision==0.11.3

How To Use

Please create an environment to run the basic code: python CRNet_I_MR.py

Note

The default setting performs Multiple Runs under five random task orderings, as reported in our experiments.

Please Cite

@article{li2023CRNet,
  title={{CRNet}: A Fast Continual Learning Framework With Random Theory}, 
  author={Li, Depeng and Zeng, Zhigang},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence}, 
  volume={45},
  number={9},
  pages={10731--10744},
  year={2023},
  publisher={IEEE}
}