Novel Knowledge Distillation to Improve Training Accuracy of Spin-based SNN-Reference-Cited by-同舟云学术

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Novel Knowledge Distillation to Improve Training Accuracy of Spin-based SNN

Published:2023-06-11 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS)
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Author:

Li Hanrui¹,Lone Aijaz H.¹,Tian Fengshi²,Yang Jie²,Sawan Mohamad²,El-Atab Nazek¹

Affiliation:

1. KAUST,SAMA Labs,CEMSE Department,Thuwal,Saudi Arabia,23955-6900

2. Westlake University,CenBRAIN Neurotech, School of Engineering,Hangzhou,China,310030

Funder

King Abdullah University of Science and Technology

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10168547/10168548/10168575.pdf?arnumber=10168575

Reference22 articles.

1. Bridging the gap between patient-specific and patient-independent seizure prediction via knowledge distillation

2. MSPAN: A Memristive Spike-Based Computing Engine With Adaptive Neuron for Edge Arrhythmia Detection

Cited by 1 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. IDSNN: Towards High-Performance and Low-Latency SNN Training via Initialization and Distillation;Biomimetics;2023-08-18

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