9 citations · 26 across the 20 of their papers we have counts for
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Which Samples Should be Learned First: Easy or Hard?
Xiaoling Zhou, Ou Wu
An effective weighting scheme for training samples is essential for learning tasks. Numerous weighting schemes have been proposed. Some schemes take the easy-first mode, whereas so…
Compensation Learning
Rujing Yao, Ou Wu
Weighting strategy prevails in machine learning. For example, a common approach in robust machine learning is to exert lower weights on samples which are likely to be noisy or quit…
A Mathematical Foundation for Robust Machine Learning based on Bias-Variance Trade-off
Ou Wu, Weiyao Zhu, Yingjun Deng +2
A common assumption in machine learning is that samples are independently and identically distributed (i.i.d). However, the contributions of different samples are not identical in…
Improving the Expressive Power of Graph Neural Network with Tinhofer Algorithm
Alan J. X. Guo, Qing-Hu Hou, Ou Wu
In recent years, Graph Neural Network (GNN) has bloomly progressed for its power in processing graph-based data. Most GNNs follow a message passing scheme, and their expressive pow…