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20182023
most citedHybrid Tensor Decomposition in Neural Network Compression

46 citations · 114 across the 17 of their papers we have counts for

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9 papers · 1 filter

cs.NE20228 cited

Toward Robust Spiking Neural Network Against Adversarial Perturbation

Ling Liang, Kaidi Xu, Xing Hu +2

As spiking neural networks (SNNs) are deployed increasingly in real-world efficiency critical applications, the security concerns in SNNs attract more attention. Currently, researc…

cs.NE20223 cited

Spiking Neural Network Integrated Circuits: A Review of Trends and Future Directions

Arindam Basu, Charlotte Frenkel, Lei Deng +1

In this paper, we reviewed Spiking neural network (SNN) integrated circuit designs and analyzed the trends among mixed-signal cores, fully digital cores and large-scale, multi-core…

cs.NE20226 cited

Advancing Deep Residual Learning by Solving the Crux of Degradation in Spiking Neural Networks

Yifan Hu, Yujie Wu, Lei Deng +1

Despite the rapid progress of neuromorphic computing, the inadequate depth and the resulting insufficient representation power of spiking neural networks (SNNs) severely restrict t…

cs.NE20212 cited

H2Learn: High-Efficiency Learning Accelerator for High-Accuracy Spiking Neural Networks

Ling Liang, Zheng Qu, Zhaodong Chen +6

Although spiking neural networks (SNNs) take benefits from the bio-plausible neural modeling, the low accuracy under the common local synaptic plasticity learning rules limits thei…

cs.NE20214 cited

Exploiting Spiking Dynamics with Spatial-temporal Feature Normalization in Graph Learning

Mingkun Xu, Yujie Wu, Lei Deng +3

Biological spiking neurons with intrinsic dynamics underlie the powerful representation and learning capabilities of the brain for processing multimodal information in complex envi…

cs.NE202011 cited

Going Deeper With Directly-Trained Larger Spiking Neural Networks

Hanle Zheng, Yujie Wu, Lei Deng +2

Spiking neural networks (SNNs) are promising in a bio-plausible coding for spatio-temporal information and event-driven signal processing, which is very suited for energy-efficient…