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. 2403.18388
  4. Cited By
FTBC: Forward Temporal Bias Correction for Optimizing ANN-SNN Conversion

FTBC: Forward Temporal Bias Correction for Optimizing ANN-SNN Conversion

27 March 2024
Xiaofeng Wu
V. Bojkovic
Bin Gu
Kun Suo
Kai Zou
ArXiv (abs)PDFHTML

Papers citing "FTBC: Forward Temporal Bias Correction for Optimizing ANN-SNN Conversion"

19 / 19 papers shown
Title
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
Kang Chen
Yi Zhang
Zhaofei Yu
Tiejun Huang
167
0
0
18 Dec 2024
Memory-Efficient Reversible Spiking Neural Networks
Memory-Efficient Reversible Spiking Neural Networks
Hong Zhang
Yu Zhang
48
9
0
13 Dec 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
82
41
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
102
61
0
04 Feb 2023
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
69
58
0
28 Apr 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
198
256
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
141
90
0
03 Feb 2022
A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural
  Networks Calibration
A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration
Yuhang Li
Shi-Wee Deng
Xin Dong
Ruihao Gong
Shi Gu
63
192
0
13 Jun 2021
Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep
  Spiking Neural Networks
Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep Spiking Neural Networks
Jianhao Ding
Zhaofei Yu
Yonghong Tian
Tiejun Huang
82
157
0
25 May 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
162
496
0
08 Feb 2021
Incorporating Learnable Membrane Time Constant to Enhance Learning of
  Spiking Neural Networks
Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks
Wei Fang
Zhaofei Yu
Yanqing Chen
T. Masquelier
Tiejun Huang
Yonghong Tian
139
527
0
11 Jul 2020
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
157
303
0
04 May 2020
RMP-SNN: Residual Membrane Potential Neuron for Enabling Deeper
  High-Accuracy and Low-Latency Spiking Neural Network
RMP-SNN: Residual Membrane Potential Neuron for Enabling Deeper High-Accuracy and Low-Latency Spiking Neural Network
Bing Han
G. Srinivasan
Kaushik Roy
62
316
0
25 Feb 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
Robert Legenstein
Wolfgang Maass
142
489
0
26 Mar 2018
Deep supervised learning using local errors
Deep supervised learning using local errors
Hesham Mostafa
V. Ramesh
Gert Cauwenberghs
58
114
0
17 Nov 2017
STDP Based Pruning of Connections and Weight Quantization in Spiking
  Neural Networks for Energy Efficient Recognition
STDP Based Pruning of Connections and Weight Quantization in Spiking Neural Networks for Energy Efficient Recognition
Nitin Rathi
Priyadarshini Panda
Kaushik Roy
49
113
0
12 Oct 2017
Spatio-Temporal Backpropagation for Training High-performance Spiking
  Neural Networks
Spatio-Temporal Backpropagation for Training High-performance Spiking Neural Networks
Yujie Wu
Lei Deng
Guoqi Li
Jun Zhu
Luping Shi
62
1,022
0
08 Jun 2017
Conversion of Artificial Recurrent Neural Networks to Spiking Neural
  Networks for Low-power Neuromorphic Hardware
Conversion of Artificial Recurrent Neural Networks to Spiking Neural Networks for Low-power Neuromorphic Hardware
P. U. Diehl
Guido Zarrella
A. Cassidy
Bruno U. Pedroni
Emre Neftci
81
218
0
16 Jan 2016
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.6K
100,386
0
04 Sep 2014
1