In Quest of Ground Truth: Learning Confident Models and Estimating Uncertainty in the Presence of Annotator Noise.
Asma Ahmed HashmiArtem AgafonovAigerim ZhumabayevaMohammad YaqubMartin TakácPublished in: CoRR (2023)
Keyphrases
- ground truth
- learning process
- prior knowledge
- learning models
- learning tasks
- supervised learning
- learning problems
- learning algorithm
- accurate models
- structured prediction
- ground truth data
- learning systems
- artificial neural networks
- decision trees
- hidden variables
- learning rules
- sensor noise
- complex systems
- parameter estimation
- online learning
- edge detection
- semi supervised
- active learning
- reinforcement learning