How Good is the Bayes Posterior in Deep Neural Networks Really?
Florian WenzelKevin RothBastiaan S. VeelingJakub SwiatkowskiLinh TranStephan MandtJasper SnoekTim SalimansRodolphe JenattonSebastian NowozinPublished in: ICML (2020)
Keyphrases
- neural network
- pattern recognition
- fuzzy logic
- fuzzy systems
- back propagation
- bayesian framework
- support vector
- artificial neural networks
- multi layer
- computational intelligence
- neural nets
- self organizing maps
- machine learning
- class probabilities
- multilayer perceptron
- posterior probability
- cross validation
- fault diagnosis
- genetic algorithm
- neural network model
- unsupervised learning
- recurrent neural networks
- generative model
- multi class
- probabilistic model
- network architecture
- deep learning
- model averaging