Generalization in multitask deep neural classifiers: a statistical physics approach.
Anthony NdirangoTyler LeePublished in: NeurIPS (2019)
Keyphrases
- multi task
- statistical physics
- game theory
- multitask learning
- information theory
- learning curves
- multi task learning
- feature selection
- learning tasks
- belief propagation
- training data
- gaussian processes
- multi class
- decision trees
- learning problems
- machine learning algorithms
- metric learning
- training set
- computer science
- information theoretic
- transfer learning
- maximum margin
- support vector
- class labels
- cooperative
- learning algorithm
- training examples
- markov random field
- text mining
- supervised learning