Ensemble Robustness and Generalization of Stochastic Deep Learning Algorithms.
Tom ZahavyBingyi KangAlex SivakJiashi FengHuan XuShie MannorPublished in: ICLR (Workshop) (2018)
Keyphrases
- learning algorithm
- training data
- deep architectures
- learning machines
- efficient learning
- ensemble learning
- machine learning
- active learning
- drifting concepts
- neural network
- training set
- monte carlo
- ensemble methods
- machine learning algorithms
- learning process
- supervised learning
- deep learning
- learning tasks
- learning problems
- back propagation
- learning models
- learning scheme
- computational efficiency
- transfer learning
- learning rate
- random forest
- base classifiers
- machine learning methods
- inductive learning algorithms
- feature selection