Semi-Supervised Deep Regression with Uncertainty Consistency and Variational Model Ensembling via Bayesian Neural Networks.
Weihang DaiXiaomeng LiKwang-Ting ChengPublished in: AAAI (2023)
Keyphrases
- semi supervised
- neural network
- regression algorithm
- sparse bayesian learning
- decision theory
- belief nets
- semi supervised learning
- dempster shafer
- gaussian processes
- regression model
- pattern recognition
- relevance vector machine
- multi view
- artificial neural networks
- training process
- model averaging
- multi layer
- unlabeled data
- labeled data
- semi supervised clustering
- semi supervised classification
- predictive accuracy
- bayesian learning
- bayesian networks
- uncertain data
- neural nets
- unsupervised learning
- belief functions
- genetic algorithm
- support vector
- pairwise
- active learning
- conditional probabilities
- neural network model
- named entity recognition
- fuzzy logic
- model selection
- radial basis function
- survival data
- classification and regression trees
- back propagation
- classifier ensemble
- subspace learning
- regression problems
- posterior probability
- linear regression