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HAS-RL: A Hierarchical Approximate Scheme Optimized With Re..:
Li, Siyue
;
Zhou, Shize
;
Xue, Yongqi
...
IEEE Transactions on Circuits and Systems I: Regular Papers. 71 (2024) 4 - p. 1863-1875 , 2024
Link:
https://doi.org/10.1109/tcsi.2024.3359912
RT Journal T1 <Title>HAS-RL: A Hierarchical Approximate Scheme Optimized With Reinforcement Learning for NoC-Based NN Accelerators</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1109_tcsi.2024.3359912&Exemplar=1&LAN=DE A1 Li, Siyue A1 Zhou, Shize A1 Xue, Yongqi A1 Fan, Wenjie A1 Cheng, Tong A1 Ji, Jinlun A1 Dai, Chenyang A1 Song, Wenqing A1 Chen, Qinyu A1 Gao, Chang A1 Li, Li A1 Fu, Yuxiang PB Institute of Electrical and Electronics Engineers (IEEE) YR 2024 SN 1549-8328 SN 1558-0806 JF IEEE Transactions on Circuits and Systems I: Regular Papers VO 71 IS 4 SP 1863 OP 1875 LK http://dx.doi.org/https://doi.org/10.1109/tcsi.2024.3359912 DO https://doi.org/10.1109/tcsi.2024.3359912 SF ELIB - SuUB Bremen
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