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. 2008.04509
  4. Cited By
TCL: an ANN-to-SNN Conversion with Trainable Clipping Layers

TCL: an ANN-to-SNN Conversion with Trainable Clipping Layers

11 August 2020
Nguyen-Dong Ho
I. Chang
ArXivPDFHTML

Papers citing "TCL: an ANN-to-SNN Conversion with Trainable Clipping Layers"

12 / 12 papers shown
Title
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
32
7
0
28 Feb 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
48
1
0
28 Feb 2025
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
Biologically inspired structure learning with reverse knowledge
  distillation for spiking neural networks
Biologically inspired structure learning with reverse knowledge distillation for spiking neural networks
Qi Xu
Yaxin Li
Xuanye Fang
Jiangrong Shen
Jian K. Liu
Huajin Tang
Gang Pan
19
15
0
19 Apr 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
113
197
0
08 Mar 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
33
54
0
04 Feb 2023
Exact Gradient Computation for Spiking Neural Networks Through Forward
  Propagation
Exact Gradient Computation for Spiking Neural Networks Through Forward Propagation
Jane Lee
Saeid Haghighatshoar
Amin Karbasi
43
0
0
18 Oct 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
106
89
0
03 Feb 2022
Can Deep Neural Networks be Converted to Ultra Low-Latency Spiking
  Neural Networks?
Can Deep Neural Networks be Converted to Ultra Low-Latency Spiking Neural Networks?
Gourav Datta
P. Beerel
46
37
0
22 Dec 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
124
296
0
04 May 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
121
481
0
26 Mar 2018
1