Aug 13, 2023 · We propose a regularizing membrane potential loss (RMP-Loss) to adjust the distribution which is directly related to quantization error to a range close to the ...
loss term aims at regularizing membrane potential is pre- sented, called RMP-Loss, which can encourage the mem- brane potentials to gather around binary spike ...
RMP-Loss: Regularizing Membrane Potential Distribution for Spiking ...
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We propose a regularizing membrane potential loss (RMP-Loss) to adjust the distribution which is directly related to quantization error to a range close to the ...
loss term aims at regularizing membrane potential is pre- sented, called RMP-Loss, which can encourage the mem- brane potentials to gather around binary spike ...
RMP-Loss: Regularizing Membrane Potential Distribution for Spiking Neural Networks · 2 code implementations • ICCV 2023 • Yufei Guo, Xiaode Liu, Yuanpei Chen ...
Aug 13, 2023 · Furthermore, it is shown to consistently outperform previous state-of-the-art methods over different network architectures and datasets. 查看 ...
It can be seen that the SNN models trained with RMP-Loss can shrink the membrane potential distribution range which enjoys less quantization error. On the other ...
RMP-Loss: Regularizing Membrane Potential Distribution for Spiking Neural Networks · Membrane Potential Batch Normalization for Spiking Neural Networks · PeakConv ...
RMP-Loss: Regularizing Membrane Potential Distribution for Spiking Neural Networks (ICCV 2023). [paper]; Inherent Redundancy in Spiking Neural Networks (ICCV ...
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Aug 17, 2023 · RMP-Loss (Guo et al., 2023a) proposes a regularizing membrane potential loss (RMP-Loss) to force the membrane potential close to the spikes, ...