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A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural
  Networks Calibration

A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration

13 June 2021
Yuhang Li
Shi-Wee Deng
Xin Dong
Ruihao Gong
Shi Gu
ArXivPDFHTML

Papers citing "A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration"

50 / 116 papers shown
Title
RMP-Loss: Regularizing Membrane Potential Distribution for Spiking
  Neural Networks
RMP-Loss: Regularizing Membrane Potential Distribution for Spiking Neural Networks
Yu-Zhu Guo
Xiaode Liu
Y. Chen
Liwen Zhang
Weihang Peng
Yuhan Zhang
Xuhui Huang
Zhe Ma
AAML
MQ
46
23
0
13 Aug 2023
Gated Attention Coding for Training High-performance and Efficient
  Spiking Neural Networks
Gated Attention Coding for Training High-performance and Efficient Spiking Neural Networks
Xuerui Qiu
Rui-Jie Zhu
Yuhong Chou
Zhaorui Wang
Liang-Jian Deng
Guoqi Li
26
29
0
12 Aug 2023
Resource Constrained Model Compression via Minimax Optimization for
  Spiking Neural Networks
Resource Constrained Model Compression via Minimax Optimization for Spiking Neural Networks
Jue Chen
Huan Yuan
Jianchao Tan
Bin Chen
Chengru Song
Di Zhang
25
3
0
09 Aug 2023
Gradient Scaling on Deep Spiking Neural Networks with Spike-Dependent
  Local Information
Gradient Scaling on Deep Spiking Neural Networks with Spike-Dependent Local Information
Seong Gon Park
Jeonghee Jo
Jongkil Park
Yeonjoo Jeong
Jaewook Kim
...
Inho Kim
Jong-Keuk Park
Kyeong-Seok Lee
Gyeongyeon Hwang
Hyun Jae Jang
8
0
0
01 Aug 2023
Automotive Object Detection via Learning Sparse Events by Spiking
  Neurons
Automotive Object Detection via Learning Sparse Events by Spiking Neurons
Hu Zhang
Yanchen Li
Luziwei Leng
Kaiwei Che
Qian Liu
Qinghai Guo
Jianxing Liao
Ran Cheng
34
6
0
24 Jul 2023
SLSSNN: High energy efficiency spike-train level spiking neural networks
  with spatio-temporal conversion
SLSSNN: High energy efficiency spike-train level spiking neural networks with spatio-temporal conversion
Changqin Xu
Yi Liu
Yintang Yang
19
1
0
14 Jul 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
41
3
0
10 Jul 2023
Spiking Denoising Diffusion Probabilistic Models
Spiking Denoising Diffusion Probabilistic Models
Jiahang Cao
Ziqing Wang
Hanzhong Guo
Haotai Cheng
Qiang Zhang
Renjing Xu
DiffM
22
19
0
29 Jun 2023
Reliable Evaluation of Adversarial Transferability
Reliable Evaluation of Adversarial Transferability
Wenqian Yu
Jindong Gu
Zhijiang Li
Philip H. S. Torr
AAML
29
8
0
14 Jun 2023
Fast-SNN: Fast Spiking Neural Network by Converting Quantized ANN
Fast-SNN: Fast Spiking Neural Network by Converting Quantized ANN
Yang‐Zhi Hu
Qian Zheng
Xudong Jiang
Gang Pan
MQ
26
48
0
31 May 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
77
47
0
31 May 2023
Sharing Leaky-Integrate-and-Fire Neurons for Memory-Efficient Spiking
  Neural Networks
Sharing Leaky-Integrate-and-Fire Neurons for Memory-Efficient Spiking Neural Networks
Youngeun Kim
Yuhang Li
Abhishek Moitra
Ruokai Yin
Priyadarshini Panda
28
10
0
26 May 2023
A Hybrid Neural Coding Approach for Pattern Recognition with Spiking
  Neural Networks
A Hybrid Neural Coding Approach for Pattern Recognition with Spiking Neural Networks
Xinyi Chen
Qu Yang
Jibin Wu
Haizhou Li
Kay Chen Tan
19
16
0
26 May 2023
Temporal Contrastive Learning for Spiking Neural Networks
Temporal Contrastive Learning for Spiking Neural Networks
Haonan Qiu
Zeyin Song
Yanqing Chen
Munan Ning
Wei Fang
Tao Sun
Zhengyu Ma
Liuliang Yuan
Yonghong Tian
11
1
0
23 May 2023
Knowing When to Stop: Delay-Adaptive Spiking Neural Network Classifiers
  with Reliability Guarantees
Knowing When to Stop: Delay-Adaptive Spiking Neural Network Classifiers with Reliability Guarantees
Jiechen Chen
Sangwoo Park
Osvaldo Simeone
29
7
0
18 May 2023
Enhancing the Performance of Transformer-based Spiking Neural Networks
  by SNN-optimized Downsampling with Precise Gradient Backpropagation
Enhancing the Performance of Transformer-based Spiking Neural Networks by SNN-optimized Downsampling with Precise Gradient Backpropagation
Chenlin Zhou
Han Zhang
Zhaokun Zhou
Liutao Yu
Zhengyu Ma
Huihui Zhou
Xiaopeng Fan
Yonghong Tian
26
9
0
10 May 2023
DeepFire2: A Convolutional Spiking Neural Network Accelerator on FPGAs
DeepFire2: A Convolutional Spiking Neural Network Accelerator on FPGAs
M. Aung
Daniel Gerlinghoff
Chuping Qu
Liwei Yang
Tian Huang
Rick Siow Mong Goh
Tao Luo
Weng-Fai Wong
16
9
0
09 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
105
35
0
03 May 2023
Uncovering the Representation of Spiking Neural Networks Trained with
  Surrogate Gradient
Uncovering the Representation of Spiking Neural Networks Trained with Surrogate Gradient
Yuhang Li
Youngeun Kim
Hyoungseob Park
Priyadarshini Panda
32
16
0
25 Apr 2023
LaSNN: Layer-wise ANN-to-SNN Distillation for Effective and Efficient
  Training in Deep Spiking Neural Networks
LaSNN: Layer-wise ANN-to-SNN Distillation for Effective and Efficient Training in Deep Spiking Neural Networks
Di Hong
Jiangrong Shen
Yu Qi
Yueming Wang
25
5
0
17 Apr 2023
SEENN: Towards Temporal Spiking Early-Exit Neural Networks
SEENN: Towards Temporal Spiking Early-Exit Neural Networks
Yuhang Li
Tamar Geller
Youngeun Kim
Priyadarshini Panda
24
37
0
02 Apr 2023
A Hybrid ANN-SNN Architecture for Low-Power and Low-Latency Visual
  Perception
A Hybrid ANN-SNN Architecture for Low-Power and Low-Latency Visual Perception
Asude Aydin
Mathias Gehrig
Daniel Gehrig
Davide Scaramuzza
21
11
0
24 Mar 2023
MSAT: Biologically Inspired Multi-Stage Adaptive Threshold for
  Conversion of Spiking Neural Networks
MSAT: Biologically Inspired Multi-Stage Adaptive Threshold for Conversion of Spiking Neural Networks
Xiang-Yu He
Yang Li
Dongcheng Zhao
Qingqun Kong
Yi Zeng
42
6
0
23 Mar 2023
Unleashing the Potential of Spiking Neural Networks by Dynamic
  Confidence
Unleashing the Potential of Spiking Neural Networks by Dynamic Confidence
Chen Li
Edward Jones
Steve Furber
29
17
0
17 Mar 2023
Highly Efficient 3D Human Pose Tracking from Events with Spiking Spatiotemporal Transformer
Highly Efficient 3D Human Pose Tracking from Events with Spiking Spatiotemporal Transformer
Shihao Zou
Yuxuan Mu
Wei Ji
Zi-An Wang
Xinxin Zuo
Sen Wang
Weixin Si
Li Cheng
3DH
36
15
0
16 Mar 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
105
195
0
08 Mar 2023
Towards Memory- and Time-Efficient Backpropagation for Training Spiking
  Neural Networks
Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks
Qingyan Meng
Mingqing Xiao
Shen Yan
Yisen Wang
Zhouchen Lin
Zhimin Luo
21
37
0
28 Feb 2023
Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes
Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes
Zecheng Hao
Jianhao Ding
Tong Bu
Tiejun Huang
Zhaofei Yu
43
40
0
21 Feb 2023
Reducing ANN-SNN Conversion Error through Residual Membrane Potential
Reducing ANN-SNN Conversion Error through Residual Membrane Potential
Zecheng Hao
Tong Bu
Jianhao Ding
Tiejun Huang
Zhaofei Yu
25
54
0
04 Feb 2023
SPIDE: A Purely Spike-based Method for Training Feedback Spiking Neural
  Networks
SPIDE: A Purely Spike-based Method for Training Feedback Spiking Neural Networks
Mingqing Xiao
Qingyan Meng
Zongpeng Zhang
Yisen Wang
Zhouchen Lin
19
11
0
01 Feb 2023
Training Full Spike Neural Networks via Auxiliary Accumulation Pathway
Training Full Spike Neural Networks via Auxiliary Accumulation Pathway
Guangyao Chen
Peixi Peng
Guoqi Li
Yonghong Tian
29
23
0
27 Jan 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
Hoyer regularizer is all you need for ultra low-latency spiking neural
  networks
Hoyer regularizer is all you need for ultra low-latency spiking neural networks
Gourav Datta
Zeyu Liu
P. Beerel
27
9
0
20 Dec 2022
Exploring Temporal Information Dynamics in Spiking Neural Networks
Exploring Temporal Information Dynamics in Spiking Neural Networks
Youngeun Kim
Yuhang Li
Hyoungseob Park
Yeshwanth Venkatesha
Anna Hambitzer
Priyadarshini Panda
19
32
0
26 Nov 2022
Wearable-based Human Activity Recognition with Spatio-Temporal Spiking
  Neural Networks
Wearable-based Human Activity Recognition with Spatio-Temporal Spiking Neural Networks
Yuhang Li
Ruokai Yin
Hyoungseob Park
Youngeun Kim
Priyadarshini Panda
23
14
0
14 Nov 2022
Low Latency Conversion of Artificial Neural Network Models to
  Rate-encoded Spiking Neural Networks
Low Latency Conversion of Artificial Neural Network Models to Rate-encoded Spiking Neural Networks
Zhanglu Yan
Jun Zhou
Weng-Fai Wong
30
2
0
27 Oct 2022
SpikeSim: An end-to-end Compute-in-Memory Hardware Evaluation Tool for
  Benchmarking Spiking Neural Networks
SpikeSim: An end-to-end Compute-in-Memory Hardware Evaluation Tool for Benchmarking Spiking Neural Networks
Abhishek Moitra
Abhiroop Bhattacharjee
Runcong Kuang
Gokul Krishnan
Yu Cao
Priyadarshini Panda
16
20
0
24 Oct 2022
Real Spike: Learning Real-valued Spikes for Spiking Neural Networks
Real Spike: Learning Real-valued Spikes for Spiking Neural Networks
Yu-Zhu Guo
Liwen Zhang
Y. Chen
Xinyi Tong
Xiaode Liu
Yinglei Wang
Xuhui Huang
Zhe Ma
34
30
0
13 Oct 2022
Training Spiking Neural Networks with Local Tandem Learning
Training Spiking Neural Networks with Local Tandem Learning
Qu Yang
Jibin Wu
Malu Zhang
Yansong Chua
Xinchao Wang
Haizhou Li
55
35
0
10 Oct 2022
Online Training Through Time for Spiking Neural Networks
Online Training Through Time for Spiking Neural Networks
Mingqing Xiao
Qingyan Meng
Zongpeng Zhang
D.K. He
Zhouchen Lin
45
60
0
09 Oct 2022
Masked Spiking Transformer
Masked Spiking Transformer
Ziqing Wang
Yuetong Fang
Jiahang Cao
Qiang Zhang
Zhongrui Wang
Renjing Xu
25
39
0
03 Oct 2022
Attention Spiking Neural Networks
Attention Spiking Neural Networks
Man Yao
Guangshe Zhao
Hengyu Zhang
Yifan Hu
Lei Deng
Yonghong Tian
Bo Xu
Guoqi Li
30
161
0
28 Sep 2022
BrainCog: A Spiking Neural Network based Brain-inspired Cognitive
  Intelligence Engine for Brain-inspired AI and Brain Simulation
BrainCog: A Spiking Neural Network based Brain-inspired Cognitive Intelligence Engine for Brain-inspired AI and Brain Simulation
Yi Zeng
Dongcheng Zhao
Feifei Zhao
Guobin Shen
Yiting Dong
...
Xin Liu
Chen-Yu Du
Qingqun Kong
Zizhe Ruan
Weida Bi
36
69
0
18 Jul 2022
Spike Calibration: Fast and Accurate Conversion of Spiking Neural
  Network for Object Detection and Segmentation
Spike Calibration: Fast and Accurate Conversion of Spiking Neural Network for Object Detection and Segmentation
Yang Li
Xiang-Yu He
Yiting Dong
Qingqun Kong
Yi Zeng
6
27
0
06 Jul 2022
Exploring Lottery Ticket Hypothesis in Spiking Neural Networks
Exploring Lottery Ticket Hypothesis in Spiking Neural Networks
Youngeun Kim
Yuhang Li
Hyoungseob Park
Yeshwanth Venkatesha
Ruokai Yin
Priyadarshini Panda
24
46
0
04 Jul 2022
Examining the Robustness of Spiking Neural Networks on Non-ideal
  Memristive Crossbars
Examining the Robustness of Spiking Neural Networks on Non-ideal Memristive Crossbars
Abhiroop Bhattacharjee
Youngeun Kim
Abhishek Moitra
Priyadarshini Panda
22
15
0
20 Jun 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
56
23
0
06 May 2022
Training High-Performance Low-Latency Spiking Neural Networks by
  Differentiation on Spike Representation
Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation
Qingyan Meng
Mingqing Xiao
Shen Yan
Yisen Wang
Zhouchen Lin
Zhimin Luo
24
134
0
01 May 2022
Efficient and Accurate Conversion of Spiking Neural Network with Burst
  Spikes
Efficient and Accurate Conversion of Spiking Neural Network with Burst Spikes
Yang Li
Yi Zeng
11
57
0
28 Apr 2022
SATA: Sparsity-Aware Training Accelerator for Spiking Neural Networks
SATA: Sparsity-Aware Training Accelerator for Spiking Neural Networks
Ruokai Yin
Abhishek Moitra
Abhiroop Bhattacharjee
Youngeun Kim
Priyadarshini Panda
22
53
0
11 Apr 2022
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