526互联

Spiking

Spikformer: When Spiking Neural Network Meets Transformer

郑重声明：原文参见标题，如有侵权，请联系作者，将会撤销发布！ Published as a conference paper at ICLR 2023（同大组工作） ABSTRACT 我们考虑了两种生物学合理的结构，脉冲神经网络（SNN）和自注意机制。前者为深度学习提供了一种节能且事件驱动的范式，而 ......
Transformer Spikformer Network Spiking Neural

Exploiting Noise as a Resource for Computation and Learning in Spiking Neural Networks

郑重声明：原文参见标题，如有侵权，请联系作者，将会撤销发布！ https://arxiv.org/abs/2305.16044 Summary Keywords Introduction Results Noisy spiking neural network and noise-driven le ......
Computation Exploiting Learning Networks Resource

Spike timing reshapes robustness against attacks in spiking neural networks

郑重声明：原文参见标题，如有侵权，请联系作者，将会撤销发布！ 同大组工作 ......
robustness reshapes networks against attacks

SNN-RAT: Robustness-enhanced Spiking Neural Network through Regularized Adversarial Training

郑重声明：原文参见标题，如有侵权，请联系作者，将会撤销发布！ 同大组工作 Abstract ......
Robustness-enhanced Adversarial Regularized Robustness enhanced

Uncovering the Representation of Spiking Neural Networks Trained with Surrogate Gradient

郑重声明：原文参见标题，如有侵权，请联系作者，将会撤销发布！ Published in Transactions on Machine Learning Research (04/2023) ......
Representation Uncovering Surrogate Networks Gradient

Going Deeper With Directly-Trained Larger Spiking Neural Networks

郑重声明：原文参见标题，如有侵权，请联系作者，将会撤销发布！ The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21) Abstract 脉冲神经网络（SNN）在时空信息和事件驱动信号处理的生物可编程编码中很有前途，非 ......
Directly-Trained Directly Networks Trained Spiking
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