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RRAM-PoolFormer: A Resistive Memristor-based PoolFormer Modeling and Training Framework for Edge-AI Applications

  • Published:2023-05-21 Issue: Volume: Page:
  • ISSN:
  • Container-title:2023 IEEE International Symposium on Circuits and Systems (ISCAS)
  • language:
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Author:

Cao Tiancheng1,Yu Weihao2,Gao Yuan3,Liu Chen3,Yan Shuicheng4,Goh Wang Ling1

Affiliation:

1. School of Electrical and Electronic Engineering, Nanyang Technological University,Republic of Singapore

2. National University of Singapore,Department of Electrical and Computer Engineering,Republic of Singapore

3. Institute of Microelectronics (IME),Agency for Science, Technology and Research (A*STAR),Republic of Singapore

4. Sea AI Lab,Republic of Singapore

Funder

Agency for Science, Technology and research

Publisher

IEEE

Cited by 2 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 Memory-Efficient High-Speed Event-based Object Tracking System;2024 IEEE International Symposium on Circuits and Systems (ISCAS);2024-05-19

2. ECG Classification using Binary CNN on RRAM Crossbar with Nonidealities-Aware Training, Readout Compensation and CWT Preprocessing;2023 IEEE Biomedical Circuits and Systems Conference (BioCAS);2023-10-19
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