Self-Filtering: A Noise-Aware Sample Selection for Label Noise with Confidence Penalization.
Qi WeiHaoliang SunXiankai LuYilong YinPublished in: CoRR (2022)
Keyphrases
- label noise
- active learning
- sample selection
- generalization error
- training data
- noise model
- supervised learning
- training examples
- learning algorithm
- machine learning
- training set
- semi supervised
- labeled data
- learning process
- cost sensitive
- training samples
- data sets
- missing data
- noise level
- selection strategy
- search space
- noise tolerant
- feature extraction
- data mining