170 citations · 596 across the 62 of their papers we have counts for
4 papers · 1 filter
Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks
Yuting Ye, Xuwu Wang, Jiangchao Yao +4
Low-dimensional embeddings of knowledge graphs and behavior graphs have proved remarkably powerful in varieties of tasks, from predicting unobserved edges between entities to conte…
Node Attribute Generation on Graphs
Xu Chen, Siheng Chen, Huangjie Zheng +4
Graph structured data provide two-fold information: graph structures and node attributes. Numerous graph-based algorithms rely on both information to achieve success in supervised…
Safeguarded Dynamic Label Regression for Generalized Noisy Supervision
Jiangchao Yao, Ya Zhang, Ivor W. Tsang +1
Learning with noisy labels, which aims to reduce expensive labors on accurate annotations, has become imperative in the Big Data era. Previous noise transition based method has ach…
How does Disagreement Help Generalization against Label Corruption?
Xingrui Yu, Bo Han, Jiangchao Yao +3
Learning with noisy labels is one of the hottest problems in weakly-supervised learning. Based on memorization effects of deep neural networks, training on small-loss instances bec…