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Learning Spiking Neural Network from Easy to Hard task

Learning Spiking Neural Network from Easy to Hard task

9 September 2023
Lingling Tang
Jiangtao Hu
Hua Yu
Surui Liu
Jielei Chu
ArXivPDFHTML

Papers citing "Learning Spiking Neural Network from Easy to Hard task"

16 / 16 papers shown
Title
Complex Dynamic Neurons Improved Spiking Transformer Network for
  Efficient Automatic Speech Recognition
Complex Dynamic Neurons Improved Spiking Transformer Network for Efficient Automatic Speech Recognition
Minglun Han
Qingyu Wang
Tielin Zhang
Yi Wang
Duzhen Zhang
Bo Xu
57
29
0
02 Feb 2023
Attention Spiking Neural Networks
Attention Spiking Neural Networks
Man Yao
Guangshe Zhao
Hengyu Zhang
Yifan Hu
Lei Deng
Yonghong Tian
Bo Xu
Guoqi Li
92
171
0
28 Sep 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
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
157
496
0
08 Feb 2021
Tuning Convolutional Spiking Neural Network with Biologically-plausible
  Reward Propagation
Tuning Convolutional Spiking Neural Network with Biologically-plausible Reward Propagation
Tielin Zhang
Shuncheng Jia
Xiang Cheng
Bo Xu
55
48
0
09 Oct 2020
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
Progressive Tandem Learning for Pattern Recognition with Deep Spiking
  Neural Networks
Progressive Tandem Learning for Pattern Recognition with Deep Spiking Neural Networks
Jibin Wu
Chenglin Xu
Daquan Zhou
Haizhou Li
Kay Chen Tan
49
115
0
02 Jul 2020
Micro-supervised Disturbance Learning: A Perspective of Representation
  Probability Distribution
Micro-supervised Disturbance Learning: A Perspective of Representation Probability Distribution
Jielei Chu
Jing Liu
Hongjun Wang
Hua Meng
Zhiguo Gong
Tianrui Li
OOD
51
19
0
13 Mar 2020
Exploring Adversarial Attack in Spiking Neural Networks with
  Spike-Compatible Gradient
Exploring Adversarial Attack in Spiking Neural Networks with Spike-Compatible Gradient
Ling Liang
Xing Hu
Lei Deng
Yujie Wu
Guoqi Li
Yufei Ding
Peng Li
Yuan Xie
AAML
89
63
0
01 Jan 2020
Surrogate Gradient Learning in Spiking Neural Networks
Surrogate Gradient Learning in Spiking Neural Networks
Emre Neftci
Hesham Mostafa
Friedemann Zenke
90
1,237
0
28 Jan 2019
Direct Training for Spiking Neural Networks: Faster, Larger, Better
Direct Training for Spiking Neural Networks: Faster, Larger, Better
Yujie Wu
Lei Deng
Guoqi Li
Jun Zhu
Luping Shi
76
656
0
16 Sep 2018
CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images
CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images
Sheng Guo
Weilin Huang
Haozhi Zhang
Chenfan Zhuang
Dengke Dong
Matthew R. Scott
Dinglong Huang
SSL
60
343
0
03 Aug 2018
Unsupervised Learning of a Hierarchical Spiking Neural Network for
  Optical Flow Estimation: From Events to Global Motion Perception
Unsupervised Learning of a Hierarchical Spiking Neural Network for Optical Flow Estimation: From Events to Global Motion Perception
Federico Paredes-Valles
Kirk Y. W. Scheper
Guido C. H. E de Croon
47
156
0
28 Jul 2018
Unsupervised Learning with Self-Organizing Spiking Neural Networks
Unsupervised Learning with Self-Organizing Spiking Neural Networks
Hananel Hazan
D. J. Saunders
Darpan T. Sanghavi
H. Siegelmann
R. Kozma
SSL
33
65
0
24 Jul 2018
Curriculum Learning by Transfer Learning: Theory and Experiments with
  Deep Networks
Curriculum Learning by Transfer Learning: Theory and Experiments with Deep Networks
D. Weinshall
Gad Cohen
Dan Amir
ODL
47
241
0
11 Feb 2018
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry
  and Semantics
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics
Alex Kendall
Y. Gal
R. Cipolla
3DH
272
3,123
0
19 May 2017
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