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08/16/2023
Inherent Redundancy in Spiking Neural Networks
Spiking Neural Networks (SNNs) are well known as a promising energy-effi...
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05/20/2023
Probabilistic Modeling: Proving the Lottery Ticket Hypothesis in Spiking Neural Network
The Lottery Ticket Hypothesis (LTH) states that a randomly-initialized l...
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09/28/2022
Attention Spiking Neural Networks
Benefiting from the event-driven and sparse spiking characteristics of t...
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07/25/2021
Temporal-wise Attention Spiking Neural Networks for Event Streams Classification
How to effectively and efficiently deal with spatio-temporal event strea...
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08/21/2020
Kronecker CP Decomposition with Fast Multiplication for Compressing RNNs
Recurrent neural networks (RNNs) are powerful in the tasks oriented to s...
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06/29/2020
Hybrid Tensor Decomposition in Neural Network Compression
Deep neural networks (DNNs) have enabled impressive breakthroughs in var...
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12/08/2019