ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2106.06984
  4. Cited By
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
Temporal Flexibility in Spiking Neural Networks: Towards Generalization Across Time Steps and Deployment Friendliness
Temporal Flexibility in Spiking Neural Networks: Towards Generalization Across Time Steps and Deployment Friendliness
Kangrui Du
Yuhang Wu
Shikuang Deng
Shi Gu
40
0
0
18 Mar 2025
DTA: Dual Temporal-channel-wise Attention for Spiking Neural Networks
Minje Kim
Minjun Kim
Xu Yang
38
0
0
13 Mar 2025
Temporal Separation with Entropy Regularization for Knowledge Distillation in Spiking Neural Networks
Temporal Separation with Entropy Regularization for Knowledge Distillation in Spiking Neural Networks
Kairong Yu
Chengting Yu
Tianqing Zhang
Xiaochen Zhao
Shu Yang
Hongwei Wang
Qiang Zhang
Qi Xu
66
3
0
05 Mar 2025
Towards Effective and Sparse Adversarial Attack on Spiking Neural Networks via Breaking Invisible Surrogate Gradients
Li Lun
Kunyu Feng
Qinglong Ni
Ling Liang
Yuan Wang
Ying Li
Dunshan Yu
Xiaoxin Cui
AAML
78
0
0
05 Mar 2025
Differential Coding for Training-Free ANN-to-SNN Conversion
Zihan Huang
Wei Fang
Tong Bu
Peng Xue
Zecheng Hao
Xiaohan Yu
Yuanhong Tang
Zhaofei Yu
Tiejun Huang
36
0
0
01 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
1
0
28 Feb 2025
Towards High-performance Spiking Transformers from ANN to SNN Conversion
Towards High-performance Spiking Transformers from ANN to SNN Conversion
Zihan Huang
Xinyu Shi
Zecheng Hao
Tong Bu
Jianhao Ding
Zhaofei Yu
Tiejun Huang
30
7
0
28 Feb 2025
CLIF: Complementary Leaky Integrate-and-Fire Neuron for Spiking Neural Networks
CLIF: Complementary Leaky Integrate-and-Fire Neuron for Spiking Neural Networks
Yulong Huang
Xiaopeng Lin
Hongwei Ren
Haotian Fu
Yue Zhou
Zunchang Liu
Biao Pan
Bojun Cheng
57
10
0
20 Feb 2025
Adaptive Calibration: A Unified Conversion Framework of Spiking Neural
  Network
Adaptive Calibration: A Unified Conversion Framework of Spiking Neural Network
Zehua Wang
Yuetong Fang
Jiahang Cao
Hongwei Ren
Renjing Xu
77
2
0
18 Dec 2024
Faster and Stronger: When ANN-SNN Conversion Meets Parallel Spiking
  Calculation
Faster and Stronger: When ANN-SNN Conversion Meets Parallel Spiking Calculation
Zecheng Hao
Zhaofei Yu
Tiejun Huang
80
0
0
18 Dec 2024
Efficient 3D Recognition with Event-driven Spike Sparse Convolution
Efficient 3D Recognition with Event-driven Spike Sparse Convolution
Xuerui Qiu
Man Yao
Jieyuan Zhang
Yuhong Chou
Ning Qiao
Shibo Zhou
Bo Xu
Guoqi Li
3DPC
75
4
0
10 Dec 2024
Noise Adaptor: Enhancing Low-Latency Spiking Neural Networks through
  Noise-Injected Low-Bit ANN Conversion
Noise Adaptor: Enhancing Low-Latency Spiking Neural Networks through Noise-Injected Low-Bit ANN Conversion
Chen Li
Bipin Rajendran
69
0
0
26 Nov 2024
Spiking Transformer Hardware Accelerators in 3D Integration
Spiking Transformer Hardware Accelerators in 3D Integration
Boxun Xu
Junyoung Hwang
Pruek Vanna-iampikul
Sung Kyu Lim
Peng Li
19
0
0
11 Nov 2024
Randomized Forward Mode Gradient for Spiking Neural Networks in
  Scientific Machine Learning
Randomized Forward Mode Gradient for Spiking Neural Networks in Scientific Machine Learning
Ruyin Wan
Qian Zhang
George Karniadakis
30
0
0
11 Nov 2024
Spatial-Temporal Search for Spiking Neural Networks
Spatial-Temporal Search for Spiking Neural Networks
Kaiwei Che
Zhaokun Zhou
Li-xin Yuan
Jianguo Zhang
Yonghong Tian
Luziwei Leng
32
0
0
24 Oct 2024
Advancing Training Efficiency of Deep Spiking Neural Networks through
  Rate-based Backpropagation
Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation
Chengting Yu
Lei Liu
Gaoang Wang
Erping Li
Aili Wang
26
1
0
15 Oct 2024
Spiking Transformer with Spatial-Temporal Attention
Spiking Transformer with Spatial-Temporal Attention
Donghyun Lee
Yuhang Li
Youngeun Kim
Shiting Xiao
Priyadarshini Panda
30
1
0
29 Sep 2024
Training Spiking Neural Networks via Augmented Direct Feedback Alignment
Training Spiking Neural Networks via Augmented Direct Feedback Alignment
Yongbo Zhang
Katsuma Inoue
M. Nakajima
Toshikazu Hashimoto
Yasuo Kuniyoshi
Kohei Nakajima
32
0
0
12 Sep 2024
Spiking Diffusion Models
Spiking Diffusion Models
Jiahang Cao
Hanzhong Guo
Ziqing Wang
Deming Zhou
Hao Cheng
Qiang Zhang
Renjing Xu
DiffM
45
3
0
29 Aug 2024
Robust Iterative Value Conversion: Deep Reinforcement Learning for
  Neurochip-driven Edge Robots
Robust Iterative Value Conversion: Deep Reinforcement Learning for Neurochip-driven Edge Robots
Y. Kadokawa
Tomohito Kodera
Yoshihisa Tsurumine
Shinya Nishimura
Takamitsu Matsubara
34
1
0
23 Aug 2024
Obtaining Optimal Spiking Neural Network in Sequence Learning via
  CRNN-SNN Conversion
Obtaining Optimal Spiking Neural Network in Sequence Learning via CRNN-SNN Conversion
Jiahao Su
Kang You
Zekai Xu
Weizhi Xu
Zhezhi He
26
0
0
18 Aug 2024
BKDSNN: Enhancing the Performance of Learning-based Spiking Neural
  Networks Training with Blurred Knowledge Distillation
BKDSNN: Enhancing the Performance of Learning-based Spiking Neural Networks Training with Blurred Knowledge Distillation
Zekai Xu
Kang You
Qinghai Guo
Xiang Wang
Zhezhi He
33
3
0
12 Jul 2024
SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking
SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking
Xingrun Xing
Boyan Gao
Zheng Zhang
David A. Clifton
Shitao Xiao
LI DU
Guoqi Li
Jiajun Zhang
52
5
0
05 Jul 2024
Sign Gradient Descent-based Neuronal Dynamics: ANN-to-SNN Conversion
  Beyond ReLU Network
Sign Gradient Descent-based Neuronal Dynamics: ANN-to-SNN Conversion Beyond ReLU Network
Hyunseok Oh
Youngki Lee
48
1
0
01 Jul 2024
RTFormer: Re-parameter TSBN Spiking Transformer
RTFormer: Re-parameter TSBN Spiking Transformer
Hongzhi Wang
Xiubo Liang
Mengjian Li
Tao Zhang
38
0
0
20 Jun 2024
Evolutionary Spiking Neural Networks: A Survey
Evolutionary Spiking Neural Networks: A Survey
Shuaijie Shen
Rui Zhang
Chao Wang
Renzhuo Huang
Aiersi Tuerhong
Qinghai Guo
Zhichao Lu
Jianguo Zhang
Luziwei Leng
26
6
0
18 Jun 2024
Spiking Neural Networks with Consistent Mapping Relations Allow
  High-Accuracy Inference
Spiking Neural Networks with Consistent Mapping Relations Allow High-Accuracy Inference
Yang Li
Xiang-Yu He
Qingqun Kong
Yi Zeng
32
0
0
08 Jun 2024
Enhancing Adversarial Robustness in SNNs with Sparse Gradients
Enhancing Adversarial Robustness in SNNs with Sparse Gradients
Yujia Liu
Tong Bu
Jianhao Ding
Zecheng Hao
Tiejun Huang
Zhaofei Yu
AAML
37
3
0
30 May 2024
Temporal Spiking Neural Networks with Synaptic Delay for Graph Reasoning
Temporal Spiking Neural Networks with Synaptic Delay for Graph Reasoning
Mingqing Xiao
Yixin Zhu
D.K. He
Zhouchen Lin
LRM
30
4
0
27 May 2024
Stochastic Spiking Neural Networks with First-to-Spike Coding
Stochastic Spiking Neural Networks with First-to-Spike Coding
Yi Jiang
Sen Lu
Abhronil Sengupta
40
0
0
26 Apr 2024
Converting High-Performance and Low-Latency SNNs through Explicit
  Modelling of Residual Error in ANNs
Converting High-Performance and Low-Latency SNNs through Explicit Modelling of Residual Error in ANNs
Zhipeng Huang
Jianhao Ding
Zhiyu Pan
Haoran Li
Ying Fang
Zhaofei Yu
Jian K. Liu
34
0
0
26 Apr 2024
FTBC: Forward Temporal Bias Correction for Optimizing ANN-SNN Conversion
FTBC: Forward Temporal Bias Correction for Optimizing ANN-SNN Conversion
Xiaofeng Wu
V. Bojkovic
Bin Gu
Kun Suo
Kai Zou
25
3
0
27 Mar 2024
QKFormer: Hierarchical Spiking Transformer using Q-K Attention
QKFormer: Hierarchical Spiking Transformer using Q-K Attention
Chenlin Zhou
Han Zhang
Zhaokun Zhou
Liutao Yu
Liwei Huang
Xiaopeng Fan
Liuliang Yuan
Zhengyu Ma
Huihui Zhou
Yonghong Tian
52
15
0
25 Mar 2024
Optimal ANN-SNN Conversion with Group Neurons
Optimal ANN-SNN Conversion with Group Neurons
Liuzhenghao Lv
Wei Fang
Li Yuan
Yonghong Tian
37
3
0
29 Feb 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
29
4
0
01 Feb 2024
Take A Shortcut Back: Mitigating the Gradient Vanishing for Training
  Spiking Neural Networks
Take A Shortcut Back: Mitigating the Gradient Vanishing for Training Spiking Neural Networks
Yu-Zhu Guo
Y. Chen
23
2
0
09 Jan 2024
Training a General Spiking Neural Network with Improved Efficiency and
  Minimum Latency
Training a General Spiking Neural Network with Improved Efficiency and Minimum Latency
Yunpeng Yao
Man Wu
Zheng Chen
Renyuan Zhang
35
0
0
05 Jan 2024
Deep Pulse-Coupled Neural Networks
Deep Pulse-Coupled Neural Networks
Zexiang Yi
Jing Lian
Yunliang Qi
Zhaofei Yu
Huajin Tang
Yide Ma
Jizhao Liu
23
2
0
24 Dec 2023
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
43
0
0
12 Dec 2023
Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks
Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks
Yu-Zhu Guo
Y. Chen
Xiaode Liu
Weihang Peng
Yuhan Zhang
Xuhui Huang
Zhe Ma
33
28
0
11 Dec 2023
Noise Adaptor in Spiking Neural Networks
Noise Adaptor in Spiking Neural Networks
Chen Li
Bipin Rajendran
39
0
0
08 Dec 2023
Spiking NeRF: Representing the Real-World Geometry by a Discontinuous
  Representation
Spiking NeRF: Representing the Real-World Geometry by a Discontinuous Representation
Zhanfeng Liao
Qian Zheng
Yan Liu
Gang Pan
21
7
0
15 Nov 2023
Adversarially Robust Spiking Neural Networks Through Conversion
Adversarially Robust Spiking Neural Networks Through Conversion
Ozan Özdenizci
Robert Legenstein
AAML
38
8
0
15 Nov 2023
Spike-based Neuromorphic Computing for Next-Generation Computer Vision
Spike-based Neuromorphic Computing for Next-Generation Computer Vision
Md. Sakib Hasan
Catherine D. Schuman
Zhongyang Zhang
Tauhidur Rahman
Garrett S. Rose
33
0
0
15 Oct 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
23
0
10 Oct 2023
Low Latency of object detection for spikng neural network
Low Latency of object detection for spikng neural network
Nemin Qiu
Chuang Zhu
17
0
0
27 Sep 2023
Brain-inspired Evolutionary Architectures for Spiking Neural Networks
Brain-inspired Evolutionary Architectures for Spiking Neural Networks
Wenxuan Pan
Feifei Zhao
Zhuoya Zhao
Yi Zeng
44
3
0
11 Sep 2023
Learning Spiking Neural Network from Easy to Hard task
Learning Spiking Neural Network from Easy to Hard task
Lingling Tang
Jiangtao Hu
Hua Yu
Surui Liu
Jielei Chu
39
0
0
09 Sep 2023
Artificial to Spiking Neural Networks Conversion for Scientific Machine
  Learning
Artificial to Spiking Neural Networks Conversion for Scientific Machine Learning
Qian Zhang
Chen-Chun Wu
Adar Kahana
Youngeun Kim
Yuhang Li
George Karniadakis
Priyadarshini Panda
25
9
0
31 Aug 2023
Membrane Potential Batch Normalization for Spiking Neural Networks
Membrane Potential Batch Normalization for Spiking Neural Networks
Yu-Zhu Guo
Yuhan Zhang
Y. Chen
Weihang Peng
Xiaode Liu
Liwen Zhang
Xuhui Huang
Zhe Ma
AAML
32
37
0
16 Aug 2023
123
Next