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1 Ergebnisse
1
A Min-Max Optimization Framework for Multi-task Deep Neural..:
, In:
2024 IEEE International Symposium on Circuits and Systems (ISCAS)
,
Guo, Jiacheng
;
Sun, Huiming
;
Qin, Minghai
.. - p. 1-5 , 2024
Link:
https://doi.org/10.1109/ISCAS58744.2024.10557958
RT T1 <cTitle>2024 IEEE International Symposium on Circuits and Systems (ISCAS)</cTitle>: T1 <Title>A Min-Max Optimization Framework for Multi-task Deep Neural Network Compression</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10557958&Exemplar=1&LAN=DE A1 Guo, Jiacheng A1 Sun, Huiming A1 Qin, Minghai A1 Yu, Hongkai A1 Zhang, Tianyun YR 2024 SN 2158-1525 K1 Training K1 Degradation K1 Computational modeling K1 Artificial neural networks K1 Machine learning K1 Multitasking K1 Data models K1 multi-task learning K1 deep learning K1 weight pruning K1 model compression SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/ISCAS58744.2024.10557958 DO https://doi.org/10.1109/ISCAS58744.2024.10557958 SF ELIB - SuUB Bremen
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