BriefGPT.xyz
Oct, 2021
通过类级别梯度操作进行广义数据加权
Generalized Data Weighting via Class-level Gradient Manipulation
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Can Chen, Shuhao Zheng, Xi Chen, Erqun Dong, Xue Liu...
TL;DR
本文提出了一种称为广义数据加权(GDW)的方法,通过操作类别层面的梯度,同时减轻标签噪声(label noise)和类别不平衡(class imbalance)两大问题,从而实现了有效的性能改善,而且并不会引入额外的计算成本。
Abstract
label noise
and
class imbalance
are two major issues coexisting in real-world datasets. To alleviate the two issues, state-of-the-art methods reweight each instance by leveraging a small amount of clean and unbia
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