Training-Free Uncertainty Estimation for Dense Regression: Sensitivity as a Surrogate.
Lu MiHao WangYonglong TianHao HeNir ShavitPublished in: AAAI (2022)
Keyphrases
- linear regression
- training set
- estimation algorithm
- uncertain data
- sensitivity analysis
- robust regression
- regression model
- ordinary least squares
- neural network
- training process
- radial basis function network
- training samples
- model selection
- training phase
- semi parametric
- measurement error
- regression algorithm
- nonparametric regression
- estimation process
- learning machines
- support vector regression
- back propagation
- parameter estimation
- supervised learning
- hidden markov models