Ensemble Robustness of Deep Learning Algorithms.
Jiashi FengTom ZahavyBingyi KangHuan XuShie MannorPublished in: CoRR (2016)
Keyphrases
- learning algorithm
- training data
- deep architectures
- machine learning algorithms
- machine learning
- active learning
- drifting concepts
- reinforcement learning
- ensemble learning
- learning tasks
- computational efficiency
- supervised learning
- random forests
- generalization ability
- ensemble methods
- learning problems
- deep learning
- multi class
- learning process
- neural network
- accurate classifiers
- bias variance analysis
- base learners
- learning scheme
- transfer learning
- unlabeled data
- training set
- lower bound
- feature selection