====== Learning with Noise =====

===== Overviews =====
  * [[https://ieeexplore.ieee.org/document/6685834|2014 - Classification in the Presence of Label Noise: A Survey]]
  * [[https://arxiv.org/pdf/1912.05170.pdf|2019 - Image Classification with Deep Learning in the Presence of Noisy Labels: A Survey]]
  * [[https://arxiv.org/pdf/1912.02911.pdf|2020 - Deep learning with noisy labels: exploring techniques and remedies in medical image analysis]]
  * [[https://arxiv.org/pdf/2007.08199.pdf|Song et al 2020 - Learning from Noisy Labels with Deep Neural Networks: A Survey]]

===== Papers =====
  * [[https://proceedings.neurips.cc/paper/2013/file/3871bd64012152bfb53fdf04b401193f-Paper.pdf|Natarajan et al 2013 - Learning with Noisy Labels]]
  * Patrini et al 2017 - Making deep neural networks robust to label noise: A loss correction approach
  * [[http://proceedings.mlr.press/v119/lukasik20a/lukasik20a.pdf|2020 - Does Label Smoothing Mitigate Label Noise?]]

===== Bibliographies =====
  * [[https://github.com/subeeshvasu/Awesome-Learning-with-Label-Noise|A curated list of resources for Learning with Noisy Labels]]
  * [[https://github.com/GuokaiLiu/Noisy-Labels-Problem-Collection|Noisy Labels Problem Collection]]
  * [[https://github.com/gorkemalgan/deep_learning_with_noisy_labels_literature|Deep Learning with Label Noise / Noisy Labels]]

===== Related Pages =====
  * [[Regularization#Label Smoothing]]