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1 Ergebnisse
1
Variational Channel Distribution Pruning and Mixed-Precisio..:
, In:
2022 International Symposium on VLSI Design, Automation and Test (VLSI-DAT)
,
Chang, Wan-Ting
;
Kuo, Chih-Hung
;
Fang, Li-Chun
- p. 1-3 , 2022
Link:
https://doi.org/10.1109/VLSI-DAT54769.2022.9768055
RT T1
2022 International Symposium on VLSI Design, Automation and Test (VLSI-DAT)
: T1
Variational Channel Distribution Pruning and Mixed-Precision Quantization for Neural Network Model Compression
UL https://suche.suub.uni-bremen.de/peid=ieee-9768055&Exemplar=1&LAN=DE A1 Chang, Wan-Ting A1 Kuo, Chih-Hung A1 Fang, Li-Chun YR 2022 SN 2472-9124 K1 Quantization (signal) K1 Uncertainty K1 Design automation K1 Neural networks K1 Very large scale integration K1 Probability distribution K1 Hardware K1 convolutional neural network K1 Bayesian deep learning K1 model compression SP 1 OP 3 LK http://dx.doi.org/https://doi.org/10.1109/VLSI-DAT54769.2022.9768055 DO https://doi.org/10.1109/VLSI-DAT54769.2022.9768055 SF ELIB - SuUB Bremen
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