Keeping Deep Learning Models in Check: A History-Based Approach to Mitigate Overfitting.
Hao LiGopi Krishnan RajbahadurDayi LinCor-Paul BezemerZhen Ming JiangPublished in: CoRR (2024)
Keyphrases
- learning models
- machine learning
- learning algorithm
- semi supervised learning
- loss function
- learning tasks
- machine learning algorithms
- classification models
- decision trees
- conditional random fields
- learning problems
- learning paradigms
- data mining
- machine learning models
- semi supervised
- supervised learning
- training data
- intermediate concepts
- sparse metric learning