Kazuki Okado, Kengo Matsumoto, Atsuki Inoue, Hiroshi Kawaguchi, Yasufumi Sakai. Channel-wise quantization without accuracy degradation using Δloss analysis. In ICMLT 2022: 7th International Conference on Machine Learning Technologies, Rome, Italy, March 11 - 13, 2022. pages 56-61, ACM, 2022. [doi]
@inproceedings{OkadoMIKS22,
title = {Channel-wise quantization without accuracy degradation using Δloss analysis},
author = {Kazuki Okado and Kengo Matsumoto and Atsuki Inoue and Hiroshi Kawaguchi and Yasufumi Sakai},
year = {2022},
doi = {10.1145/3529399.3529409},
url = {https://doi.org/10.1145/3529399.3529409},
researchr = {https://researchr.org/publication/OkadoMIKS22},
cites = {0},
citedby = {0},
pages = {56-61},
booktitle = {ICMLT 2022: 7th International Conference on Machine Learning Technologies, Rome, Italy, March 11 - 13, 2022},
publisher = {ACM},
isbn = {978-1-4503-9574-8},
}