Practical Computational Power of Linear Transformers and Their Recurrent and Self-Referential Extensions

Kazuki Irie, Róbert Csordás, Jürgen Schmidhuber. Practical Computational Power of Linear Transformers and Their Recurrent and Self-Referential Extensions. In Houda Bouamor, Juan Pino 0001, Kalika Bali, editors, Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, EMNLP 2023, Singapore, December 6-10, 2023. pages 9455-9465, Association for Computational Linguistics, 2023. [doi]

@inproceedings{IrieCS23,
  title = {Practical Computational Power of Linear Transformers and Their Recurrent and Self-Referential Extensions},
  author = {Kazuki Irie and Róbert Csordás and Jürgen Schmidhuber},
  year = {2023},
  url = {https://aclanthology.org/2023.emnlp-main.588},
  researchr = {https://researchr.org/publication/IrieCS23},
  cites = {0},
  citedby = {0},
  pages = {9455-9465},
  booktitle = {Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, EMNLP 2023, Singapore, December 6-10, 2023},
  editor = {Houda Bouamor and Juan Pino 0001 and Kalika Bali},
  publisher = {Association for Computational Linguistics},
  isbn = {979-8-89176-060-8},
}