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Temporally Efficient Deep Learning with Spikes

Temporally Efficient Deep Learning with Spikes

International Conference on Learning Representations (ICLR), 2017
13 June 2017
Peter O'Connor
E. Gavves
Max Welling
ArXiv (abs)PDFHTML

Papers citing "Temporally Efficient Deep Learning with Spikes"

10 / 10 papers shown
Title
Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes
Bridging the Gap between ANNs and SNNs by Calibrating Offset SpikesInternational Conference on Learning Representations (ICLR), 2023
Zecheng Hao
Jianhao Ding
Tong Bu
Tiejun Huang
Zhaofei Yu
184
49
0
21 Feb 2023
Training Deep Spiking Auto-encoders without Bursting or Dying Neurons
  through Regularization
Training Deep Spiking Auto-encoders without Bursting or Dying Neurons through Regularization
Justus F. Hübotter
Pablo Lanillos
Jakub M. Tomczak
105
5
0
22 Sep 2021
Training for temporal sparsity in deep neural networks, application in
  video processing
Training for temporal sparsity in deep neural networks, application in video processing
Amirreza Yousefzadeh
Manolis Sifalakis
126
4
0
15 Jul 2021
Skip-Convolutions for Efficient Video Processing
Skip-Convolutions for Efficient Video ProcessingComputer Vision and Pattern Recognition (CVPR), 2021
A. Habibian
Davide Abati
Taco S. Cohen
B. Bejnordi
173
55
0
23 Apr 2021
Boosting Throughput and Efficiency of Hardware Spiking Neural
  Accelerators using Time Compression Supporting Multiple Spike Codes
Boosting Throughput and Efficiency of Hardware Spiking Neural Accelerators using Time Compression Supporting Multiple Spike CodesFrontiers in Neuroscience (Front. Neurosci.), 2019
Changqin Xu
Wenrui Zhang
Yu Liu
Peng Li
94
16
0
10 Sep 2019
Multi-layered Spiking Neural Network with Target Timestamp Threshold
  Adaptation and STDP
Multi-layered Spiking Neural Network with Target Timestamp Threshold Adaptation and STDP
Pierre Falez
Pierre Tirilly
Ioan Marius Bilasco
P. Devienne
Pierre Boulet
141
49
0
03 Apr 2019
Biologically plausible deep learning -- but how far can we go with
  shallow networks?
Biologically plausible deep learning -- but how far can we go with shallow networks?Neural Networks (NN), 2019
Bernd Illing
W. Gerstner
Johanni Brea
257
102
0
27 Feb 2019
Surrogate Gradient Learning in Spiking Neural Networks
Surrogate Gradient Learning in Spiking Neural Networks
Emre Neftci
Hesham Mostafa
Friedemann Zenke
642
1,476
0
28 Jan 2019
Reliable counting of weakly labeled concepts by a single spiking neuron
  model
Reliable counting of weakly labeled concepts by a single spiking neuron model
Hannes Rapp
M. Nawrot
Merav Stern
95
1
0
19 May 2018
Low-memory convolutional neural networks through incremental depth-first
  processing
Low-memory convolutional neural networks through incremental depth-first processing
Jonathan Binas
Yoshua Bengio
SupR
124
4
0
28 Apr 2018
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