Post-hoc loss-calibration for Bayesian neural networks.
Meet P. VaderaSoumya GhoshKenney NgBenjamin M. MarlinPublished in: UAI (2021)
Keyphrases
- post hoc
- neural network
- pattern recognition
- camera calibration
- artificial neural networks
- bayesian inference
- fuzzy logic
- back propagation
- neural nets
- recurrent neural networks
- bayesian learning
- bayesian networks
- neural network model
- maximum likelihood
- multi layer
- gaze estimation
- gaze tracking
- genetic algorithm
- fuzzy systems
- bayesian estimation
- rule extraction
- posterior probability
- bayesian decision
- radially symmetric
- training process
- camera parameters
- multilayer perceptron
- single image
- sufficient conditions
- expert systems
- decision trees
- learning algorithm
- machine learning