Addressing GAN Training Instabilities via Tunable Classification Losses.
Monica WelfertGowtham R. KurriKyle OtstotLalitha SankarPublished in: IEEE J. Sel. Areas Inf. Theory (2024)
Keyphrases
- training process
- training set
- training samples
- pattern recognition
- supervised learning
- image classification
- machine learning
- automatic classification
- training phase
- classification accuracy
- preprocessing
- feature vectors
- classification method
- decision trees
- feature extraction
- classification performances
- support vector
- unsupervised learning
- feature space
- training patterns
- support vector machine
- classification algorithm
- machine learning methods
- feature selection
- sufficient training data
- classification rate
- training dataset
- training speed
- classification scheme
- training algorithm
- classification models
- decision rules
- class labels
- training examples
- text classification
- artificial neural networks