As featured in our paper presented at ICASSP 2024:
Authors: Zhenrong Liu, Yang Li, Yi Gong, Yik-Chung Wu
Email: [email protected]
Arxiv: https://arxiv.org/abs/2312.08740
sh LRFR.sh
Requirements: Python 3.9, PyTorch=2.0.0, tensorboardX
If you find our paper or code beneficial for your research or projects, please cite our paper:
@INPROCEEDINGS{10446458,
author={Liu, Zhenrong and Li, Yang and Gong, Yi and Wu, Yik-Chung},
booktitle={ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
title={Learning a Low-Rank Feature Representation: Achieving Better Trade-Off Between Stability and Plasticity in Continual Learning},
year={2024},
pages={5885-5889},
doi={10.1109/ICASSP48485.2024.10446458}}