3 papers
cs.AI2024
Obtaining Optimal Spiking Neural Network in Sequence Learning via CRNN-SNN Conversion
Jiahao Su, Kang You, Zekai Xu +2
Spiking neural networks (SNNs) are becoming a promising alternative to conventional artificial neural networks (ANNs) due to their rich neural dynamics and the implementation of en…
cs.NE2024
BKDSNN: Enhancing the Performance of Learning-based Spiking Neural Networks Training with Blurred Knowledge Distillation
Zekai Xu, Kang You, Qinghai Guo +2
Spiking neural networks (SNNs), which mimic biological neural system to convey information via discrete spikes, are well known as brain-inspired models with excellent computing eff…
cs.IR2023
Improvements on Recommender System based on Mathematical Principles
Fu Chen, Junkang Zou, Lingfeng Zhou +2
In this article, we will research the Recommender System's implementation about how it works and the algorithms used. We will explain the Recommender System's algorithms based on m…