FastGRNN: A Fast, Accurate, Stable and Tiny Kilobyte Sized Gated Recurrent Neural Network

Aditya Kusupati, Manish Singh, Kush Bhatia, Ashish Kumar, Prateek Jain 0002, Manik Varma. FastGRNN: A Fast, Accurate, Stable and Tiny Kilobyte Sized Gated Recurrent Neural Network. In Samy Bengio, Hanna M. Wallach, Hugo Larochelle, Kristen Grauman, Nicolò Cesa-Bianchi, Roman Garnett, editors, Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, 3-8 December 2018, Montréal, Canada. pages 9031-9042, 2018. [doi]

@inproceedings{KusupatiSBK0V18,
  title = {FastGRNN: A Fast, Accurate, Stable and Tiny Kilobyte Sized Gated Recurrent Neural Network},
  author = {Aditya Kusupati and Manish Singh and Kush Bhatia and Ashish Kumar and Prateek Jain 0002 and Manik Varma},
  year = {2018},
  url = {http://papers.nips.cc/paper/8116-fastgrnn-a-fast-accurate-stable-and-tiny-kilobyte-sized-gated-recurrent-neural-network},
  researchr = {https://researchr.org/publication/KusupatiSBK0V18},
  cites = {0},
  citedby = {0},
  pages = {9031-9042},
  booktitle = {Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, 3-8 December 2018, Montréal, Canada},
  editor = {Samy Bengio and Hanna M. Wallach and Hugo Larochelle and Kristen Grauman and Nicolò Cesa-Bianchi and Roman Garnett},
}