234 citations · 717 across the 50 of their papers we have counts for
Showing cs.LGShow all
3 papers · 1 filter
cs.LG2022★ 2 cited
A Max-relevance-min-divergence Criterion for Data Discretization with Applications on Naive Bayes
Shihe Wang, Jianfeng Ren, Ruibin Bai +2
In many classification models, data is discretized to better estimate its distribution. Existing discretization methods often target at maximizing the discriminant power of discret…
cs.LG2022★ 2 cited
Detecting Topology Attacks against Graph Neural Networks
Senrong Xu, Yuan Yao, Liangyue Li +3
Graph neural networks (GNNs) have been widely used in many real applications, and recent studies have revealed their vulnerabilities against topology attacks. To address this issue…
cs.LG2019
Exploring Structural Sparsity of Deep Networks via Inverse Scale Spaces
Yanwei Fu, Chen Liu, Donghao Li +4
The great success of deep neural networks is built upon their over-parameterization, which smooths the optimization landscape without degrading the generalization ability. Despite…