Discriminative clustering with representation learning with any ratio of labeled to unlabeled data.
Corinne JonesVincent RouletZaïd HarchaouiPublished in: Stat. Comput. (2022)
Keyphrases
- supervised learning
- unlabeled data
- semi supervised
- unsupervised learning
- semi supervised learning
- active learning
- labeled data
- learning algorithm
- training data
- labeled and unlabeled data
- co training
- labeled examples
- labeled instances
- learning problems
- learning process
- labeled training data
- domain adaptation
- positive examples
- unlabeled instances
- training examples
- learning tasks
- unlabeled images
- sample selection bias
- training set
- data points
- supervised learning algorithms
- small set of labeled
- labeling effort
- unlabeled examples
- prior knowledge
- text classification
- partially labeled
- pairwise constraints
- semi supervised classification
- class labels
- data sets
- transductive learning
- reinforcement learning
- multi view learning
- feature extraction
- clustering algorithm
- e learning
- transfer learning
- labeled and unlabeled examples
- spectral clustering