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02/28/2023
Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks
Spiking Neural Networks (SNNs) are promising energy-efficient models for...
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02/01/2023
SPIDE: A Purely Spike-based Method for Training Feedback Spiking Neural Networks
Spiking neural networks (SNNs) with event-based computation are promisin...
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10/09/2022
Online Training Through Time for Spiking Neural Networks
Spiking neural networks (SNNs) are promising brain-inspired energy-effic...
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10/09/2022
Invertible Rescaling Network and Its Extensions
Image rescaling is a commonly used bidirectional operation, which first ...
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05/01/2022
Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation
Spiking Neural Network (SNN) is a promising energy-efficient AI model wh...
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09/29/2021
Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State
Spiking neural networks (SNNs) are brain-inspired models that enable ene...
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06/22/2020
Modeling Lost Information in Lossy Image Compression
Lossy image compression is one of the most commonly used operators for d...
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05/12/2020
Invertible Image Rescaling
High-resolution digital images are usually downscaled to fit various dis...
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09/09/2019
