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RMP-Loss: Regularizing Membrane Potential Distribution for Spiking
  Neural Networks

RMP-Loss: Regularizing Membrane Potential Distribution for Spiking Neural Networks

13 August 2023
Yu-Zhu Guo
Xiaode Liu
Y. Chen
Liwen Zhang
Weihang Peng
Yuhan Zhang
Xuhui Huang
Zhe Ma
    AAML
    MQ
ArXivPDFHTML

Papers citing "RMP-Loss: Regularizing Membrane Potential Distribution for Spiking Neural Networks"

28 / 28 papers shown
Title
TS-SNN: Temporal Shift Module for Spiking Neural Networks
TS-SNN: Temporal Shift Module for Spiking Neural Networks
Kairong Yu
Tianqing Zhang
Qi Xu
Gang Pan
Hongwei Wang
54
0
0
07 May 2025
Efficient Spiking Point Mamba for Point Cloud Analysis
Efficient Spiking Point Mamba for Point Cloud Analysis
Peixi Wu
Bosong Chai
Menghua Zheng
Wei Li
Zhangchi Hu
Jie Chen
Zheyu Zhang
H. Li
Xiaoyan Sun
Mamba
40
0
0
19 Apr 2025
Decision SpikeFormer: Spike-Driven Transformer for Decision Making
Decision SpikeFormer: Spike-Driven Transformer for Decision Making
Wei Huang
Qinying Gu
Nanyang Ye
OffRL
29
1
0
04 Apr 2025
STAA-SNN: Spatial-Temporal Attention Aggregator for Spiking Neural Networks
STAA-SNN: Spatial-Temporal Attention Aggregator for Spiking Neural Networks
Tianqing Zhang
Kairong Yu
Xian Zhong
Hongwei Wang
Qi Xu
Qiang Zhang
86
0
0
04 Mar 2025
Spiking Transformer:Introducing Accurate Addition-Only Spiking Self-Attention for Transformer
Spiking Transformer:Introducing Accurate Addition-Only Spiking Self-Attention for Transformer
Yufei Guo
Xiaode Liu
Y. Chen
Weihang Peng
Yuhan Zhang
Zhe Ma
MQ
43
0
0
28 Feb 2025
Rethinking Spiking Neural Networks from an Ensemble Learning Perspective
Rethinking Spiking Neural Networks from an Ensemble Learning Perspective
Yongqi Ding
Lin Zuo
Mengmeng Jing
Pei He
Hanpu Deng
49
1
0
20 Feb 2025
Deep activity propagation via weight initialization in spiking neural
  networks
Deep activity propagation via weight initialization in spiking neural networks
Aurora Micheli
O. Booij
J. C. V. Gemert
Nergis Tömen
21
0
0
01 Oct 2024
Self-Distillation Learning Based on Temporal-Spatial Consistency for
  Spiking Neural Networks
Self-Distillation Learning Based on Temporal-Spatial Consistency for Spiking Neural Networks
Lin Zuo
Yongqi Ding
Mengmeng Jing
Kunshan Yang
Yunqian Yu
41
3
0
12 Jun 2024
SpikeLM: Towards General Spike-Driven Language Modeling via Elastic
  Bi-Spiking Mechanisms
SpikeLM: Towards General Spike-Driven Language Modeling via Elastic Bi-Spiking Mechanisms
Xingrun Xing
Zheng Zhang
Ziyi Ni
Shitao Xiao
Yiming Ju
Siqi Fan
Yequan Wang
Jiajun Zhang
Guoqi Li
32
7
0
05 Jun 2024
Robust Stable Spiking Neural Networks
Robust Stable Spiking Neural Networks
Jianhao Ding
Zhiyu Pan
Yujia Liu
Zhaofei Yu
Tiejun Huang
AAML
24
5
0
31 May 2024
Learning A Spiking Neural Network for Efficient Image Deraining
Learning A Spiking Neural Network for Efficient Image Deraining
Tianyu Song
Guiyue Jin
Pengpeng Li
Kui Jiang
Xiang Chen
Jiyu Jin
39
9
0
10 May 2024
Direct Training High-Performance Deep Spiking Neural Networks: A Review
  of Theories and Methods
Direct Training High-Performance Deep Spiking Neural Networks: A Review of Theories and Methods
Chenlin Zhou
Han Zhang
Liutao Yu
Yumin Ye
Zhaokun Zhou
Liwei Huang
Zhengyu Ma
Xiaopeng Fan
Huihui Zhou
Yonghong Tian
41
9
0
06 May 2024
LM-HT SNN: Enhancing the Performance of SNN to ANN Counterpart through
  Learnable Multi-hierarchical Threshold Model
LM-HT SNN: Enhancing the Performance of SNN to ANN Counterpart through Learnable Multi-hierarchical Threshold Model
Zecheng Hao
Xinyu Shi
Zhiyu Pan
Yujia Liu
Zhaofei Yu
Tiejun Huang
11
4
0
01 Feb 2024
When Bio-Inspired Computing meets Deep Learning: Low-Latency, Accurate,
  & Energy-Efficient Spiking Neural Networks from Artificial Neural Networks
When Bio-Inspired Computing meets Deep Learning: Low-Latency, Accurate, & Energy-Efficient Spiking Neural Networks from Artificial Neural Networks
Gourav Datta
Zeyu Liu
James Diffenderfer
B. Kailkhura
P. Beerel
31
0
0
12 Dec 2023
Spiking PointNet: Spiking Neural Networks for Point Clouds
Spiking PointNet: Spiking Neural Networks for Point Clouds
Dayong Ren
Zhe Ma
Y. Chen
Weihang Peng
Xiaode Liu
Yuhan Zhang
Yu-Zhu Guo
3DH
3DPC
20
9
0
10 Oct 2023
InfLoR-SNN: Reducing Information Loss for Spiking Neural Networks
InfLoR-SNN: Reducing Information Loss for Spiking Neural Networks
Yu-Zhu Guo
Y. Chen
Liwen Zhang
Xiaode Liu
Xinyi Tong
Yuanyuan Ou
Xuhui Huang
Zhe Ma
AAML
24
3
0
10 Jul 2023
NeuroCLIP: Neuromorphic Data Understanding by CLIP and SNN
NeuroCLIP: Neuromorphic Data Understanding by CLIP and SNN
Yu-Zhu Guo
Y. Chen
Zhe Ma
VLM
17
5
0
21 Jun 2023
Direct Learning-Based Deep Spiking Neural Networks: A Review
Direct Learning-Based Deep Spiking Neural Networks: A Review
Yu-Zhu Guo
Xuhui Huang
Zhe Ma
AI4CE
64
45
0
31 May 2023
Joint A-SNN: Joint Training of Artificial and Spiking Neural Networks
  via Self-Distillation and Weight Factorization
Joint A-SNN: Joint Training of Artificial and Spiking Neural Networks via Self-Distillation and Weight Factorization
Yu-Zhu Guo
Weihang Peng
Y. Chen
Liwen Zhang
Xiaode Liu
Xuhui Huang
Zhe Ma
92
34
0
03 May 2023
Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency
  Spiking Neural Networks
Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks
Tong Bu
Wei Fang
Jianhao Ding
Penglin Dai
Zhaofei Yu
Tiejun Huang
102
191
0
08 Mar 2023
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
Temporal Efficient Training of Spiking Neural Network via Gradient
  Re-weighting
Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting
Shi-Wee Deng
Yuhang Li
Shanghang Zhang
Shi Gu
112
240
0
24 Feb 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
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
Neuromorphic Deep Learning Machines
Neuromorphic Deep Learning Machines
Emre Neftci
C. Augustine
Somnath Paul
Georgios Detorakis
BDL
121
257
0
16 Dec 2016
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
264
5,290
0
05 Nov 2016
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