Semi-Supervised Deep Regression with Uncertainty Consistency and Variational Model Ensembling via Bayesian Neural Networks.
Weihang DaiXiaomeng LiKwang-Ting ChengPublished in: CoRR (2023)
Keyphrases
- semi supervised
- neural network
- regression algorithm
- sparse bayesian learning
- gaussian processes
- dempster shafer
- belief nets
- decision theory
- semi supervised learning
- regression model
- labeled data
- gaussian process
- pattern recognition
- fuzzy logic
- neural network model
- unlabeled data
- training process
- semi supervised classification
- active learning
- belief functions
- predictive accuracy
- uncertain data
- linear regression
- relevance vector machine
- regression problems
- genetic algorithm
- conditional probabilities
- pairwise
- maximum likelihood
- multi layer
- supervised learning
- artificial neural networks
- pairwise constraints
- bayesian networks
- model averaging
- classification and regression trees
- unsupervised learning
- co training
- named entity recognition
- least squares
- logistic regression
- support vector regression