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eWB: Event-Based Weight Binarization Algorithm for Spiking Neural Networks

  • Published:2021 Issue: Volume:9 Page:38097-38106
  • ISSN:2169-3536
  • Container-title:IEEE Access
  • language:
  • Short-container-title:IEEE Access

Author:

Kim Dohun,Kim Guhyun,Hwang Cheol SeongORCID,Jeong Doo SeokORCID

Funder

National Research Foundation of Korea

Future Semiconductor Device Technology Development Program

Ministry of Trade, Industry & Energy and Korea Semiconductor Research Consortium

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Cited by 5 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. CBP-QSNN: Spiking Neural Networks Quantized Using Constrained Backpropagation;IEEE Journal on Emerging and Selected Topics in Circuits and Systems;2023-12

2. Low Precision Quantization-aware Training in Spiking Neural Networks with Differentiable Quantization Function;2023 International Joint Conference on Neural Networks (IJCNN);2023-06-18

3. Knowledge Distillation between DNN and SNN for Intelligent Sensing Systems on Loihi Chip;2023 24th International Symposium on Quality Electronic Design (ISQED);2023-04-05

4. Quantization-Aware Training of Spiking Neural Networks for Energy-Efficient Spectrum Sensing on Loihi Chip;IEEE Transactions on Green Communications and Networking;2023

5. Binarized SNNs: Efficient and Error-Resilient Spiking Neural Networks through Binarization;2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD);2021-11-01
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