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tinySNN: Towards Memory- and Energy-Efficient Spiking Neural Networks

tinySNN: Towards Memory- and Energy-Efficient Spiking Neural Networks

17 June 2022
Rachmad Vidya Wicaksana Putra
Muhammad Shafique
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Papers citing "tinySNN: Towards Memory- and Energy-Efficient Spiking Neural Networks"

2 / 2 papers shown
Title
EnforceSNN: Enabling Resilient and Energy-Efficient Spiking Neural
  Network Inference considering Approximate DRAMs for Embedded Systems
EnforceSNN: Enabling Resilient and Energy-Efficient Spiking Neural Network Inference considering Approximate DRAMs for Embedded Systems
Rachmad Vidya Wicaksana Putra
Muhammad Abdullah Hanif
Muhammad Shafique
32
11
0
08 Apr 2023
lpSpikeCon: Enabling Low-Precision Spiking Neural Network Processing for
  Efficient Unsupervised Continual Learning on Autonomous Agents
lpSpikeCon: Enabling Low-Precision Spiking Neural Network Processing for Efficient Unsupervised Continual Learning on Autonomous Agents
Rachmad Vidya Wicaksana Putra
Muhammad Shafique
26
16
0
24 May 2022
1