Detecting and Mitigating Test-time Failure Risks via Model-agnostic Uncertainty Learning.
Preethi LahotiKrishna P. GummadiGerhard WeikumPublished in: ICDM (2021)
Keyphrases
- prior knowledge
- learning tasks
- learning models
- learning algorithm
- experimental data
- probabilistic model
- computational model
- neural network
- formal model
- mathematical model
- theoretical framework
- objective function
- learning systems
- theoretical analysis
- unsupervised learning
- active learning
- mobile learning
- artificial neural networks
- conceptual model
- learning problems
- high level
- risk management
- data sets
- learning mechanism
- learning phase
- learned models