Leveraging Unlabeled Data to Predict Out-of-Distribution Performance.
Saurabh GargSivaraman BalakrishnanZachary C. LiptonBehnam NeyshaburHanie SedghiPublished in: CoRR (2022)
Keyphrases
- unlabeled data
- labeled data
- semi supervised learning
- semi supervised
- co training
- active learning
- semi supervised classification
- training and test data
- labeled and unlabeled data
- supervised learning
- training data
- labeled examples
- text categorization
- class labels
- number of labeled examples
- training set
- learning algorithm
- text classification
- data points
- domain adaptation
- small set of labeled
- labeled training data
- supervised learning algorithms
- transfer learning
- training examples
- positive examples
- data distribution
- prior knowledge
- feature selection
- single view
- label propagation
- unsupervised learning
- multi view
- multi view learning
- semisupervised learning