An instance-dependent simulation framework for learning with label noise

DOI10.1007/s10994-022-06207-7arXiv2107.11413OpenAlexW3202195113MaRDI QIDQ6174486

Xander Masotto, Balaji Lakshminarayanan, Dong Yin, Vandana Bachani, Jack Nikodem, Keren Gu

Publication date: 14 July 2023

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2107.11413

zbMATH Keywords

datasetssimulationnoisy labelsrater features

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Cites Work

• Unnamed Item
• A decision-theoretic generalization of on-line learning and an application to boosting
• High-dimensional dynamics of generalization error in neural networks
• Confident Learning: Estimating Uncertainty in Dataset Labels
• Reconciling modern machine-learning practice and the classical bias–variance trade-off

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