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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?

22 December 2021
Gourav Datta
P. Beerel
ArXivPDFHTML

Papers citing "Can Deep Neural Networks be Converted to Ultra Low-Latency Spiking Neural Networks?"

5 / 5 papers shown
Title
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
26
12
0
21 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
93
10
0
23 Oct 2022
Sparse Compressed Spiking Neural Network Accelerator for Object
  Detection
Sparse Compressed Spiking Neural Network Accelerator for Object Detection
Hong-Han Lien
Tian-Sheuan Chang
19
26
0
02 May 2022
Optimal Conversion of Conventional Artificial Neural Networks to Spiking
  Neural Networks
Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks
Shi-Wee Deng
Shi Gu
121
200
0
28 Feb 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
294
0
04 May 2020
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