awesome-learning-with-label-noise
github.com/subeeshvasu/awesome-learning-with-label-noise ↗A curated list of resources for Learning with Noisy Labels
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Installation instructions →What's inside
Github
- Advances-in-Label-Noise-Learning
- Awesome-Noisy-Labels
- Cleanlab: machine learning python package for learning with noisy labels and finding label errors in datasets
- Deep Learning for Segmentation When Experts Disagree with Each Other
- Deep Learning with Label Noise
- Fair classification with group label noise
Others
Papers & Code
- https://arxiv.org/abs/1904.03936v3
Wasserstein Adversarial Regularization for Learning With Label Noise. [[Paper]](
- [Papeer]
LTF: A Label Transformation Framework for Correcting Label Shift.
- [Paper]
Webly supervised learning of convolutional networks.
- [Paper]
Classification with noisy labels by importance reweighting.
- [Paper]
Learning with Symmetric Label Noise: The Importance of Being Unhinged.
- [Paper]
Making Risk Minimization Tolerant to Label Noise.
Showing a sample of 278 resources. View the full list on GitHub →