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1 Ergebnisse
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Quantized Sparse Training: A Unified Trainable Framework fo..:
Park, Jun-Hyung
;
Kim, Kang-Min
;
Lee, Sangkeun
ACM Transactions on Embedded Computing Systems. 21 (2022) 5 - p. 1-22 , 2022
Link:
https://doi.org/10.1145/3524066
RT Journal T1 <Title>Quantized Sparse Training: A Unified Trainable Framework for Joint Pruning and Quantization in DNNs</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1145_3524066&Exemplar=1&LAN=DE A1 Park, Jun-Hyung A1 Kim, Kang-Min A1 Lee, Sangkeun PB Association for Computing Machinery (ACM) YR 2022 SN 1539-9087 SN 1558-3465 JF ACM Transactions on Embedded Computing Systems VO 21 IS 5 SP 1 OP 22 LK http://dx.doi.org/https://doi.org/10.1145/3524066 DO https://doi.org/10.1145/3524066 SF ELIB - SuUB Bremen
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