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11/11/2022
Dance of SNN and ANN: Solving binding problem by combining spike timing and reconstructive attention
The binding problem is one of the fundamental challenges that prevent th...
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03/24/2021
Adversarial Feature Stacking for Accurate and Robust Predictions
Deep Neural Networks (DNNs) have achieved remarkable performance on a va...
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06/05/2020
Brain-inspired global-local hybrid learning towards human-like intelligence
The combination of neuroscience-oriented and computer-science-oriented a...
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12/20/2019
Bridging adversarial samples and adversarial networks
Generative adversarial networks have achieved remarkable performance on ...
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03/20/2019
Convolution with even-sized kernels and symmetric padding
Compact convolutional neural networks gain efficiency mainly through dep...
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09/16/2018
Direct Training for Spiking Neural Networks: Faster, Larger, Better
Spiking neural networks (SNNs) are gaining more attention as a promising...
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03/17/2018
Robust event-stream pattern tracking based on correlative filter
Object tracking based on retina-inspired and event-based dynamic vision ...
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02/27/2018
L1-Norm Batch Normalization for Efficient Training of Deep Neural Networks
Batch Normalization (BN) has been proven to be quite effective at accele...
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02/13/2018
Training and Inference with Integers in Deep Neural Networks
Researches on deep neural networks with discrete parameters and their de...
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02/07/2018
Super-resolution of spatiotemporal event-based image
Super-resolution (SR) is a useful technology to generate a high-resoluti...
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06/08/2017
