A Large-scale Empirical Study on Improving the Fairness of Deep Learning Models.
Junjie YangJiajun JiangZeyu SunJunjie ChenPublished in: CoRR (2024)
Keyphrases
- empirical studies
- learning models
- machine learning
- learning tasks
- empirical analysis
- semi supervised learning
- learning algorithm
- classification models
- loss function
- conditional random fields
- learning problems
- machine learning algorithms
- real world
- machine learning models
- supervised learning
- sparse metric learning
- decision trees
- learning paradigms
- kernel methods
- hidden markov models
- feature selection
- data sets