A DNN Optimization Framework with Unlabeled Data for Efficient and Accurate Reconfigurable Hardware Inference-Reference-Cited by-同舟云学术

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A DNN Optimization Framework with Unlabeled Data for Efficient and Accurate Reconfigurable Hardware Inference

Published:2021-05 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE International Symposium on Circuits and Systems (ISCAS)
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Author:

Chen Kai,Huang Yimin,Du Yuan,Shao Zhuang,Gu Xingyu,Du Li,Wang Zhongfeng

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9401028/9401051/09401409.pdf?arnumber=9401409

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Compilation Framework for SRAM Computing-in-Memory Systems With Optimized Weight Mapping and Error Correction;IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems;2024-08

2. SSM-CIM: An Efficient CIM Macro Featuring Single-Step Multi-bit MAC Computation for CNN Edge Inference;IEEE Transactions on Circuits and Systems I: Regular Papers;2023-11

3. Optimal planning and allocation of Plug-in Hybrid Electric Vehicles charging stations using a novel hybrid optimization technique;PLOS ONE;2023-07-26

4. Live Demonstration: An Efficient Neural Network Processor with Reduced Data Transmission and On-chip Shortcut Mapping;2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS);2023-06-11

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