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08/16/2023
Membrane Potential Batch Normalization for Spiking Neural Networks
As one of the energy-efficient alternatives of conventional neural netwo...
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08/13/2023
RMP-Loss: Regularizing Membrane Potential Distribution for Spiking Neural Networks
Spiking Neural Networks (SNNs) as one of the biology-inspired models hav...
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07/10/2023
InfLoR-SNN: Reducing Information Loss for Spiking Neural Networks
The Spiking Neural Network (SNN) has attracted more and more attention r...
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05/31/2023
Direct Learning-Based Deep Spiking Neural Networks: A Review
The spiking neural network (SNN), as a promising brain-inspired computat...
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05/03/2023
Joint A-SNN: Joint Training of Artificial and Spiking Neural Networks via Self-Distillation and Weight Factorization
Emerged as a biology-inspired method, Spiking Neural Networks (SNNs) mim...
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10/13/2022
Real Spike: Learning Real-valued Spikes for Spiking Neural Networks
Brain-inspired spiking neural networks (SNNs) have recently drawn more a...
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07/14/2021
A Note on Learning Rare Events in Molecular Dynamics using LSTM and Transformer
Recurrent neural networks for language models like long short-term memor...
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06/16/2021
ECKPN: Explicit Class Knowledge Propagation Network for Transductive Few-shot Learning
Recently, the transductive graph-based methods have achieved great succe...
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08/17/2020
Robust Autoencoder GAN for Cryo-EM Image Denoising
The cryo-electron microscopy (Cryo-EM) becomes popular for macromolecula...
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12/17/2018
A Biologically Plausible Supervised Learning Method for Spiking Neural Networks Using the Symmetric STDP Rule
Spiking neural networks (SNNs) possess energy-efficient potential due to...
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10/20/2018