Image fairness in deep learning: problems, models, and challenges.
Huan TianTianqing ZhuWei LiuWanlei ZhouPublished in: Neural Comput. Appl. (2022)
Keyphrases
- learning problems
- machine learning algorithms
- learning models
- learning tasks
- image features
- supervised learning
- learning algorithm
- kernel methods
- real world
- statistical learning theory
- semi supervised learning
- image classification
- model selection
- support vector
- sample complexity
- multi task learning
- accurate models
- computational learning theory
- multi task
- denoising
- pairwise
- reinforcement learning
- image segmentation
- machine learning