Daria Vazhenina, Atsunori Kanemura. Reducing the Number of Multiplications in Convolutional Recurrent Neural Networks (ConvRNNs). In Yukio Ohsawa, Katsutoshi Yada, Takayuki Ito, Yasufumi Takama, Eri Sato-Shimokawara, Akinori Abe, Junichiro Mori, Naohiro Matsumura, editors, Advances in Artificial Intelligence - Selected Papers from the Annual Conference of Japanese Society of Artificial Intelligence (JSAI 2019), Niigata, Japan, 4-7 June 2019. Volume 1128 of Advances in Intelligent Systems and Computing, pages 45-52, Springer, 2019. [doi]
@inproceedings{VazheninaK19,
title = {Reducing the Number of Multiplications in Convolutional Recurrent Neural Networks (ConvRNNs)},
author = {Daria Vazhenina and Atsunori Kanemura},
year = {2019},
doi = {10.1007/978-3-030-39878-1_5},
url = {https://doi.org/10.1007/978-3-030-39878-1_5},
researchr = {https://researchr.org/publication/VazheninaK19},
cites = {0},
citedby = {0},
pages = {45-52},
booktitle = {Advances in Artificial Intelligence - Selected Papers from the Annual Conference of Japanese Society of Artificial Intelligence (JSAI 2019), Niigata, Japan, 4-7 June 2019},
editor = {Yukio Ohsawa and Katsutoshi Yada and Takayuki Ito and Yasufumi Takama and Eri Sato-Shimokawara and Akinori Abe and Junichiro Mori and Naohiro Matsumura},
volume = {1128},
series = {Advances in Intelligent Systems and Computing},
publisher = {Springer},
isbn = {978-3-030-39878-1},
}