Knowledge-Based Systems · 2025 · Journal article

MoTE: Mixture of task-specific experts for pre-trained model-based Class-incremental learning

Linjie Li, Zhenyu Wu, Yang Ji

Beijing University of Posts and Telecommunications · Ministry of Education

Rendered by arXiv from the LaTeX source. If anything looks wrong, switch to the PDF.HTML · PDF · Open in a new tab ↗ · Close
Date
2025-06-05
Citations
9
arXiv
2506.11038
Cite
@article{li2025mote,
  title = {MoTE: Mixture of task-specific experts for pre-trained model-based Class-incremental learning},
  author = {Linjie Li and Zhenyu Wu and Yang Ji},
  year = {2025},
  journal = {Knowledge-Based Systems},
  eprint = {2506.11038},
  archivePrefix = {arXiv},
  doi = {10.1016/j.knosys.2025.113795},
  url = {https://arxiv.org/abs/2506.11038},
}