On the Computational Power of Convolution Pooling: A Theoretical Approach for Deep Learning

Koji Nakano, Shotaro Aoki, Yasuaki Ito, Akihiko Kasagi. On the Computational Power of Convolution Pooling: A Theoretical Approach for Deep Learning. In IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPS Workshops 2021, Portland, OR, USA, June 17-21, 2021. pages 656-665, IEEE, 2021. [doi]

@inproceedings{NakanoAIK21,
  title = {On the Computational Power of Convolution Pooling: A Theoretical Approach for Deep Learning},
  author = {Koji Nakano and Shotaro Aoki and Yasuaki Ito and Akihiko Kasagi},
  year = {2021},
  doi = {10.1109/IPDPSW52791.2021.00100},
  url = {https://doi.org/10.1109/IPDPSW52791.2021.00100},
  researchr = {https://researchr.org/publication/NakanoAIK21},
  cites = {0},
  citedby = {0},
  pages = {656-665},
  booktitle = {IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPS Workshops 2021, Portland, OR, USA, June 17-21, 2021},
  publisher = {IEEE},
  isbn = {978-1-6654-3577-2},
}