Subtraction Gates: Another Way to Learn Long-Term Dependencies in Recurrent Neural Networks

Tao He, Hua Mao, Zhang Yi 0001. Subtraction Gates: Another Way to Learn Long-Term Dependencies in Recurrent Neural Networks. IEEE Transactions on Neural Networks, 33(4):1740-1751, 2022. [doi]

@article{HeMY22,
  title = {Subtraction Gates: Another Way to Learn Long-Term Dependencies in Recurrent Neural Networks},
  author = {Tao He and Hua Mao and Zhang Yi 0001},
  year = {2022},
  doi = {10.1109/TNNLS.2020.3043752},
  url = {https://doi.org/10.1109/TNNLS.2020.3043752},
  researchr = {https://researchr.org/publication/HeMY22},
  cites = {0},
  citedby = {0},
  journal = {IEEE Transactions on Neural Networks},
  volume = {33},
  number = {4},
  pages = {1740-1751},
}