ACL · 2023 · Conference paper

Learn to Memorize: Scalable Continual Learning in Semiparametric Models with Mixture-of-Neighbors Induction Memory

Guangyue Peng, Tao Ge, Si-Qing Chen, Furu Wei, Houfeng Wang

Rendered by arXiv from the LaTeX source. If anything looks wrong, switch to the PDF.HTML · PDF · Open in a new tab ↗ · Close
Published in
Annual Meeting of the Association for Computational Linguistics
Date
2023-03-02
Citations
14
arXiv
2303.01421
Cite
@inproceedings{peng2023learn,
  title = {Learn to Memorize: Scalable Continual Learning in Semiparametric Models with Mixture-of-Neighbors Induction Memory},
  author = {Guangyue Peng and Tao Ge and Si-Qing Chen and Furu Wei and Houfeng Wang},
  year = {2023},
  booktitle = {Annual Meeting of the Association for Computational Linguistics},
  eprint = {2303.01421},
  archivePrefix = {arXiv},
  doi = {10.18653/v1/2025.acl-long.1385},
  url = {https://arxiv.org/abs/2303.01421},
}