Robust and Active Learning for Deep Neural Network Regression.
Xi LiGeorge KesidisDavid J. MillerMaxime BergeronRyan FergusonVladimir LucicPublished in: CoRR (2021)
Keyphrases
- neural network
- active learning
- regression model
- active sampling
- human age estimation
- linear regression
- learning strategies
- fault diagnosis
- pattern recognition
- back propagation
- artificial neural networks
- neural network model
- prediction model
- regression analysis
- rbf network
- data sets
- fuzzy logic
- training data
- ridge regression
- network architecture
- random sampling
- support vector regression
- neural nets
- feed forward
- computationally efficient