no code implementations • 12 Jan 2023 • Xiaoling Zhou, Ou wu, Weiyao Zhu, Ziyang Liang
In this study, we theoretically prove that the generalization error of a sample can be used as a universal difficulty measure.
1 code implementation • 16 May 2022 • Weiyao Zhu, Ou wu, Fengguang Su, Yingjun Deng
As learning difficulty is crucial for machine learning (e. g., difficulty-based weighting learning strategies), previous literature has proposed a number of learning difficulty measures.
no code implementations • 10 Jun 2021 • Ou wu, Weiyao Zhu, Yingjun Deng, Haixiang Zhang, Qinghu Hou
Conducting a clear comparison for existing RML algorithms in dealing with different samples is difficult due to lack of a unified theoretical framework for RML.