A Model-Agnostic Approach for Learning with Noisy Labels of Arbitrary Distributions.
Shuang HaoPeng LiRenzhi WuXu ChuPublished in: ICDE (2022)
Keyphrases
- probability distribution
- learning process
- prior knowledge
- learning algorithm
- high level
- active learning
- mathematical model
- learning phase
- neural network
- learning scheme
- computational model
- learning systems
- knowledge acquisition
- online learning
- probabilistic model
- decision trees
- random variables
- supervised learning
- experimental data
- learning tasks
- probability density function
- latent variables
- gaussian distribution
- joint distribution
- learning mechanism