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A Little Energy Goes a Long Way: Build an Energy-Efficient, Accurate
  Spiking Neural Network from Convolutional Neural Network

A Little Energy Goes a Long Way: Build an Energy-Efficient, Accurate Spiking Neural Network from Convolutional Neural Network

1 March 2021
Dengyu Wu
Xinping Yi
Xiaowei Huang
ArXivPDFHTML

Papers citing "A Little Energy Goes a Long Way: Build an Energy-Efficient, Accurate Spiking Neural Network from Convolutional Neural Network"

5 / 5 papers shown
Title
Neuromorphic Wireless Split Computing with Multi-Level Spikes
Neuromorphic Wireless Split Computing with Multi-Level Spikes
Dengyu Wu
Jiechen Chen
Bipin Rajendran
H. Vincent Poor
Osvaldo Simeone
44
1
0
07 Nov 2024
A Survey of Safety and Trustworthiness of Large Language Models through
  the Lens of Verification and Validation
A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation
Xiaowei Huang
Wenjie Ruan
Wei Huang
Gao Jin
Yizhen Dong
...
Sihao Wu
Peipei Xu
Dengyu Wu
André Freitas
Mustafa A. Mustafa
ALM
39
82
0
19 May 2023
Optimising Event-Driven Spiking Neural Network with Regularisation and Cutoff
Optimising Event-Driven Spiking Neural Network with Regularisation and Cutoff
Dengyu Wu
Gao Jin
Han Yu
Xinping Yi
Xiaowei Huang
24
2
0
23 Jan 2023
Optimal Conversion of Conventional Artificial Neural Networks to Spiking
  Neural Networks
Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks
Shi-Wee Deng
Shi Gu
118
200
0
28 Feb 2021
Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike
  Timing Dependent Backpropagation
Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation
Nitin Rathi
G. Srinivasan
Priyadarshini Panda
Kaushik Roy
124
294
0
04 May 2020
1