Learning with Noisy Labels in Machine Learning (Q169072)
From geokb
This cluster of papers focuses on the challenges and techniques for learning with noisy labels in machine learning, including methods for hyperparameter optimization, instance selection, robust learning, and automated machine learning
- Noisy Labels
- Hyperparameter Optimization
- Instance Selection
- Robust Learning
- Automated Machine Learning
- Meta-Learning
- Deep Neural Networks
- Classification
- Positive and Unlabeled Data
- Loss Correction
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Learning with Noisy Labels in Machine Learning |
This cluster of papers focuses on the challenges and techniques for learning with noisy labels in machine learning, including methods for hyperparameter optimization, instance selection, robust learning, and automated machine learning |
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