fast-weight-attention

Fast Weight Attention

Paper Website License Python 3.14+

Falcon: Fast Weight Attention for Continual Learning

Recurrent fast-weight memories and selective state-space models compress a growing context into a bounded state, their writes can therefore be viewed as online continual-learning rules.

Date: March 9, 2026

[Project Page] [Webpage] [Paper]

Citation

@article{zhang2026fast,
  title = {Fast Weight Attention for Continual Learning},
  author = {FWA Authors},
  journal = {yifanzhang-pro.github.io},
  year = {2026},
  month = {March},
  url = "https://github.com/yifanzhang-pro/fast-weight-attention"
}