Learning a Low-Rank Feature Representation: Achieving Better Trade-Off Between Stability and Plasticity in Continual Learning
Southern University of Science and Technology · University of Hong Kong · Shenzhen Research Institute of Big Data
- ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
- 2024-03-18
- 2
@inproceedings{liu2023learning,
title = {Learning a Low-Rank Feature Representation: Achieving Better Trade-Off Between Stability and Plasticity in Continual Learning},
author = {Zhenrong Liu and Yang Li and Yi Gong and Yik‐Chung Wu},
year = {2023},
booktitle = {ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
eprint = {2312.08740},
archivePrefix = {arXiv},
doi = {10.1109/ICASSP48485.2024.10446458},
url = {https://arxiv.org/abs/2312.08740},
}