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Training Energy-Efficient Deep Spiking Neural Networks with Single-Spike
  Hybrid Input Encoding

Training Energy-Efficient Deep Spiking Neural Networks with Single-Spike Hybrid Input Encoding

26 July 2021
Gourav Datta
Souvik Kundu
P. Beerel
ArXivPDFHTML

Papers citing "Training Energy-Efficient Deep Spiking Neural Networks with Single-Spike Hybrid Input Encoding"

14 / 14 papers shown
Title
When Bio-Inspired Computing meets Deep Learning: Low-Latency, Accurate,
  & Energy-Efficient Spiking Neural Networks from Artificial Neural Networks
When Bio-Inspired Computing meets Deep Learning: Low-Latency, Accurate, & Energy-Efficient Spiking Neural Networks from Artificial Neural Networks
Gourav Datta
Zeyu Liu
James Diffenderfer
B. Kailkhura
P. Beerel
33
0
0
12 Dec 2023
Recent Advances in Scalable Energy-Efficient and Trustworthy Spiking
  Neural networks: from Algorithms to Technology
Recent Advances in Scalable Energy-Efficient and Trustworthy Spiking Neural networks: from Algorithms to Technology
Souvik Kundu
Rui-jie Zhu
Akhilesh R. Jaiswal
P. Beerel
30
4
0
02 Dec 2023
Spiking Neural Networks with Dynamic Time Steps for Vision Transformers
Spiking Neural Networks with Dynamic Time Steps for Vision Transformers
Gourav Datta
Zeyu Liu
Anni Li
P. Beerel
15
1
0
28 Nov 2023
In-Sensor & Neuromorphic Computing are all you need for Energy Efficient
  Computer Vision
In-Sensor & Neuromorphic Computing are all you need for Energy Efficient Computer Vision
Gourav Datta
Zeyu Liu
Md. Abdullah-Al Kaiser
Souvik Kundu
Joe Mathai
Zihan Yin
Ajey P. Jacob
Akhilesh R. Jaiswal
P. Beerel
16
12
0
21 Dec 2022
Hoyer regularizer is all you need for ultra low-latency spiking neural
  networks
Hoyer regularizer is all you need for ultra low-latency spiking neural networks
Gourav Datta
Zeyu Liu
P. Beerel
22
9
0
20 Dec 2022
Towards Energy-Efficient, Low-Latency and Accurate Spiking LSTMs
Towards Energy-Efficient, Low-Latency and Accurate Spiking LSTMs
Gourav Datta
Haoqing Deng
R. Aviles
P. Beerel
91
10
0
23 Oct 2022
Toward Efficient Hyperspectral Image Processing inside Camera Pixels
Toward Efficient Hyperspectral Image Processing inside Camera Pixels
Gourav Datta
Zihan Yin
A. Jacob
Akhilesh R. Jaiswal
P. Beerel
8
8
0
11 Mar 2022
P2M: A Processing-in-Pixel-in-Memory Paradigm for Resource-Constrained
  TinyML Applications
P2M: A Processing-in-Pixel-in-Memory Paradigm for Resource-Constrained TinyML Applications
Gourav Datta
Souvik Kundu
Zihan Yin
R. T. Lakkireddy
Joe Mathai
A. Jacob
P. Beerel
Akhilesh R. Jaiswal
16
36
0
07 Mar 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
29
37
0
22 Dec 2021
HIRE-SNN: Harnessing the Inherent Robustness of Energy-Efficient Deep
  Spiking Neural Networks by Training with Crafted Input Noise
HIRE-SNN: Harnessing the Inherent Robustness of Energy-Efficient Deep Spiking Neural Networks by Training with Crafted Input Noise
Souvik Kundu
Massoud Pedram
P. Beerel
AAML
8
70
0
06 Oct 2021
HYPER-SNN: Towards Energy-efficient Quantized Deep Spiking Neural
  Networks for Hyperspectral Image Classification
HYPER-SNN: Towards Energy-efficient Quantized Deep Spiking Neural Networks for Hyperspectral Image Classification
Gourav Datta
Souvik Kundu
Akhilesh R. Jaiswal
P. Beerel
28
8
0
26 Jul 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
116
292
0
04 May 2020
Spiking Deep Residual Network
Spiking Deep Residual Network
Yang‐Zhi Hu
Huajin Tang
Gang Pan
111
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
R. Legenstein
Wolfgang Maass
111
477
0
26 Mar 2018
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