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1 Ergebnisse
1
GPQ: Greedy Partial Quantization of Convolutional Neural Ne..:
, In:
2020 7th International Conference on Soft Computing & Machine Intelligence (ISCMI)
,
Tsuji, Satoki
;
Yamada, Fuyuka
;
Kawaguchi, Hiroshi
.. - p. 106-109 , 2020
Link:
https://doi.org/10.1109/ISCMI51676.2020.9311559
RT T1 <cTitle>2020 7th International Conference on Soft Computing & Machine Intelligence (ISCMI)</cTitle>: T1 <Title>GPQ: Greedy Partial Quantization of Convolutional Neural Networks Inspired by Submodular Optimization</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9311559&Exemplar=1&LAN=DE A1 Tsuji, Satoki A1 Yamada, Fuyuka A1 Kawaguchi, Hiroshi A1 Inoue, Atsuki A1 Sakai, Yasufumi YR 2020 SN 2640-0146 K1 Quantization (signal) K1 Sensitivity analysis K1 Neural networks K1 Computational modeling K1 Optimization K1 Training K1 Tensors K1 component K1 deep learning K1 convolutional neural network K1 quantization K1 neural architecture search K1 submodular optimization SP 106 OP 109 LK http://dx.doi.org/https://doi.org/10.1109/ISCMI51676.2020.9311559 DO https://doi.org/10.1109/ISCMI51676.2020.9311559 SF ELIB - SuUB Bremen
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