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. 2107.11746
  4. Cited By
H2Learn: High-Efficiency Learning Accelerator for High-Accuracy Spiking
  Neural Networks

H2Learn: High-Efficiency Learning Accelerator for High-Accuracy Spiking Neural Networks

25 July 2021
Ling Liang
Zheng Qu
Zhaodong Chen
Fengbin Tu
Yujie Wu
Lei Deng
Guoqi Li
Peng Li
Yuan Xie
ArXivPDFHTML

Papers citing "H2Learn: High-Efficiency Learning Accelerator for High-Accuracy Spiking Neural Networks"

12 / 12 papers shown
Title
Bishop: Sparsified Bundling Spiking Transformers on Heterogeneous Cores with Error-Constrained Pruning
Bishop: Sparsified Bundling Spiking Transformers on Heterogeneous Cores with Error-Constrained Pruning
Boxun Xu
Yuxuan Yin
Vikram Iyer
Peng Li
MoE
17
0
0
18 May 2025
SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks
SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks
Boxun Xu
Richard Boone
Peng Li
17
0
0
18 May 2025
Understanding the Functional Roles of Modelling Components in Spiking Neural Networks
Understanding the Functional Roles of Modelling Components in Spiking Neural Networks
Huifeng Yin
Hanle Zheng
Jiayi Mao
Siyuan Ding
Xing Liu
M. Xu
Yifan Hu
Jing Pei
Lei Deng
52
1
0
28 Jan 2025
TT-SNN: Tensor Train Decomposition for Efficient Spiking Neural Network
  Training
TT-SNN: Tensor Train Decomposition for Efficient Spiking Neural Network Training
Donghyun Lee
Ruokai Yin
Youngeun Kim
Abhishek Moitra
Yuhang Li
Priyadarshini Panda
26
3
0
15 Jan 2024
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
29
20
0
24 Oct 2022
Toward Robust Spiking Neural Network Against Adversarial Perturbation
Toward Robust Spiking Neural Network Against Adversarial Perturbation
Ling Liang
Kaidi Xu
Xing Hu
Lei Deng
Yuan Xie
AAML
41
13
0
12 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
30
53
0
11 Apr 2022
Neural Architecture Search for Spiking Neural Networks
Neural Architecture Search for Spiking Neural Networks
Youngeun Kim
Yuhang Li
Hyoungseob Park
Yeshwanth Venkatesha
Priyadarshini Panda
28
88
0
23 Jan 2022
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
Comparing SNNs and RNNs on Neuromorphic Vision Datasets: Similarities
  and Differences
Comparing SNNs and RNNs on Neuromorphic Vision Datasets: Similarities and Differences
Weihua He
Yujie Wu
Lei Deng
Guoqi Li
Haoyu Wang
Yang Tian
Wei Ding
Wenhui Wang
Yuan Xie
88
125
0
02 May 2020
Spiking Deep Residual Network
Spiking Deep Residual Network
Yang‐Zhi Hu
Huajin Tang
Gang Pan
121
75
0
28 Apr 2018
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
483
0
26 Mar 2018
1