PATE-AAE: Incorporating Adversarial Autoencoder into Private Aggregation of Teacher Ensembles for Spoken Command Classification.
Chao-Han Huck YangSabato Marco SiniscalchiChin-Hui LeePublished in: Interspeech (2021)
Keyphrases
- decision trees
- pattern recognition
- classification systems
- support vector
- feature space
- training set
- classification accuracy
- image classification
- tree ensembles
- classification scheme
- random forests
- classification models
- machine learning methods
- cross validation
- machine learning algorithms
- neural network
- preprocessing
- feature extraction
- text classification
- supervised learning
- benchmark datasets
- support vector machine
- decision rules
- learning process
- pattern classification
- professional development
- face recognition
- feature selection
- classifier ensemble
- machine learning