Learning to Detect Noisy Labels Using Model-Based Features

Label noise is ubiquitous in various machine learning scenarios such as self-labeling with model predictions and erroneous data annotation. Many existing approaches are based on heuristics such as sample losses, which might not be flexible enough to achieve optimal solutions. Meta learning based met...

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Hauptverfasser:	Wang, Zhihao, Lin, Zongyu, Liu, Peiqi, ZHeng, Guidong, Wen, Junjie, Chen, Xianxin, Chen, Yujun, Yang, Zhilin
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning
Online-Zugang:	Volltext bestellen
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