PATE-AAE: Incorporating Adversarial Autoencoder into Private Aggregation of Teacher Ensembles for Spoken Command Classification.
Chao-Han Huck YangSabato Marco SiniscalchiChin-Hui LeePublished in: CoRR (2021)
Keyphrases
- decision trees
- feature selection
- pattern recognition
- classification scheme
- support vector
- classification accuracy
- feature extraction
- machine learning
- feature space
- classification algorithm
- speech recognition
- tree ensembles
- machine learning methods
- benchmark datasets
- machine learning algorithms
- probabilistic model
- artificial neural networks
- image classification
- supervised learning
- support vector machine
- decision rules
- feature vectors
- radial basis function
- ensemble methods
- base classifiers
- imbalanced data
- multiple classifier systems
- preprocessing