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Recent Advances in Scalable Energy-Efficient and Trustworthy Spiking
  Neural networks: from Algorithms to Technology

Recent Advances in Scalable Energy-Efficient and Trustworthy Spiking Neural networks: from Algorithms to Technology

2 December 2023
Souvik Kundu
Rui-jie Zhu
Akhilesh R. Jaiswal
P. Beerel
ArXivPDFHTML

Papers citing "Recent Advances in Scalable Energy-Efficient and Trustworthy Spiking Neural networks: from Algorithms to Technology"

11 / 11 papers shown
Title
The Robustness of Spiking Neural Networks in Communication and its
  Application towards Network Efficiency in Federated Learning
The Robustness of Spiking Neural Networks in Communication and its Application towards Network Efficiency in Federated Learning
Manh V. Nguyen
Liang Zhao
Bobin Deng
William M. Severa
Honghui Xu
Shaoen Wu
FedML
22
0
0
19 Sep 2024
GLM-130B: An Open Bilingual Pre-trained Model
GLM-130B: An Open Bilingual Pre-trained Model
Aohan Zeng
Xiao Liu
Zhengxiao Du
Zihan Wang
Hanyu Lai
...
Jidong Zhai
Wenguang Chen
Peng-Zhen Zhang
Yuxiao Dong
Jie Tang
BDL
LRM
240
1,070
0
05 Oct 2022
Spikformer: When Spiking Neural Network Meets Transformer
Spikformer: When Spiking Neural Network Meets Transformer
Zhaokun Zhou
Yuesheng Zhu
Chao He
Yaowei Wang
Shuicheng Yan
Yonghong Tian
Liuliang Yuan
143
231
0
29 Sep 2022
Converting Artificial Neural Networks to Spiking Neural Networks via
  Parameter Calibration
Converting Artificial Neural Networks to Spiking Neural Networks via Parameter Calibration
Yuhang Li
Shi-Wee Deng
Xin Dong
Shi Gu
38
23
0
06 May 2022
Optimized Potential Initialization for Low-latency Spiking Neural
  Networks
Optimized Potential Initialization for Low-latency Spiking Neural Networks
Tong Bu
Jianhao Ding
Zhaofei Yu
Tiejun Huang
99
86
0
03 Feb 2022
Mobile-Former: Bridging MobileNet and Transformer
Mobile-Former: Bridging MobileNet and Transformer
Yinpeng Chen
Xiyang Dai
Dongdong Chen
Mengchen Liu
Xiaoyi Dong
Lu Yuan
Zicheng Liu
ViT
172
462
0
12 Aug 2021
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
116
197
0
28 Feb 2021
Deep Residual Learning in Spiking Neural Networks
Deep Residual Learning in Spiking Neural Networks
Wei Fang
Zhaofei Yu
Yanqing Chen
Tiejun Huang
T. Masquelier
Yonghong Tian
121
470
0
08 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
116
292
0
04 May 2020
Inherent Adversarial Robustness of Deep Spiking Neural Networks: Effects
  of Discrete Input Encoding and Non-Linear Activations
Inherent Adversarial Robustness of Deep Spiking Neural Networks: Effects of Discrete Input Encoding and Non-Linear Activations
Saima Sharmin
Nitin Rathi
Priyadarshini Panda
Kaushik Roy
AAML
100
85
0
23 Mar 2020
Long short-term memory and learning-to-learn in networks of spiking
  neurons
Long short-term memory and learning-to-learn in networks of spiking neurons
G. Bellec
Darjan Salaj
Anand Subramoney
R. Legenstein
Wolfgang Maass
111
477
0
26 Mar 2018
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