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cs.LG2019
Label-Aware Graph Convolutional Networks
Hao Chen, Yue Xu, Feiran Huang +5
Recent advances in Graph Convolutional Networks (GCNs) have led to state-of-the-art performance on various graph-related tasks. However, most existing GCN models do not explicitly…
cs.LG2018
Improving Generalization of Deep Neural Networks by Leveraging Margin Distribution
Shen-Huan Lyu, Lu Wang, Zhi-Hua Zhou
Recent research has used margin theory to analyze the generalization performance for deep neural networks (DNNs). The existed results are almost based on the spectrally-normalized…