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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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]
Dimensionality-Driven Learning with Noisy Labels.
- [Paper]
Learning with Biased Complementary Labels.
- [Paper]
Training a neural network based on unreliable human annotation of medical images.
- [Paper]
A semi-supervised two-stage approach to learning from noisy labels.
Showing a sample of 278 resources. View the full list on GitHub →