Bridging Diversity and Uncertainty in Active learning with Self-Supervised Pre-Training.
Paul DoucetBenjamin EstermannTill AczelRoger WattenhoferPublished in: CoRR (2024)
Keyphrases
- active learning
- training examples
- training set
- supervised learning
- annotation effort
- selective sampling
- training phase
- uncertain data
- training process
- batch mode
- decision theory
- learning strategies
- online learning
- relevance feedback
- semi supervised
- learning algorithm
- machine learning
- information technology
- digital divide
- test set
- experimental design
- sample selection
- labeling effort
- imbalanced data classification
- training algorithm
- generalization error
- random sampling
- neural network
- small number
- multi objective
- learning process
- training data
- search engine
- data mining