Instance-Dependent Noisy Label Learning via Graphical Modelling
Author:
Affiliation:
1. University of Adelaide,Australian Institute for Machine Learning,Australia
2. Monash University,Department of Data Science and AI,Australia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10030081/10030084/10030953.pdf?arnumber=10030953
Reference74 articles.
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3. Propmix: Hard sample filtering and proportional mixup for learning with noisy labels;cordeiro;British Machine Vision Conference,2021
4. Learning From Noisy Labels With Deep Neural Networks: A Survey
5. Practical variational inference for neural networks;graves;Advances in neural information processing systems,2011
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