中国科学院计算技术研究所机构知识库

浏览/检索结果: 共3条，第1-3条

帮助

已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序WOS被引频次升序WOS被引频次降序提交时间升序提交时间降序期刊影响因子升序期刊影响因子降序题名升序题名降序发表日期升序发表日期降序
	Sampling Methods for Efficient Training of Graph Convolutional Networks: A Survey 期刊论文 IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2022, 卷号: 9, 期号: 2, 页码: 205-234 作者:  Liu, Xin;  Yan, Mingyu;  Deng, Lei;  Li, Guoqi;  Ye, Xiaochun;  Fan, Dongrui 收藏  |  浏览/下载：38/0  |  提交时间：2022/06/21 Efficient training  graph convolutional networks (GCNs)  graph neural networks (GNNs)  sampling method
	Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15 作者:  Deng, Lei;  Wu, Yujie;  Hu, Yifan;  Liang, Ling;  Li, Guoqi;  Hu, Xing;  Ding, Yufei;  Li, Peng;  Xie, Yuan 收藏  |  浏览/下载：37/0  |  提交时间：2022/06/21 Neurons  Computational modeling  Quantization (signal)  Optimization  Encoding  Task analysis  Synapses  Activity regularization  alternating direction method of multiplier (ADMM)  connection pruning  spiking neural network (SNN) compression  weight quantization
	Exploring Adversarial Attack in Spiking Neural Networks With Spike-Compatible Gradient 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15 作者:  Liang, Ling;  Hu, Xing;  Deng, Lei;  Wu, Yujie;  Li, Guoqi;  Ding, Yufei;  Li, Peng;  Xie, Yuan 收藏  |  浏览/下载：36/0  |  提交时间：2022/06/21 Spatiotemporal phenomena  Computational modeling  Perturbation methods  Biological neural networks  Backpropagation  Unsupervised learning  Training  Adversarial attack  backpropagation through time (BPTT)  neuromorphic computing  spike-compatible gradient  spiking neural networks (SNNs)