Fleet Active Learning: A Submodular Maximization Approach.
Oguzhan AkcinOrhan UnuvarOnat UreSandeep P. ChinchaliPublished in: CoRL (2023)
Keyphrases
- active learning
- objective function
- greedy algorithm
- vehicle routing problem
- random sampling
- learning strategies
- machine learning
- learning algorithm
- semi supervised
- decision variables
- high order
- transfer learning
- imbalanced data classification
- selective sampling
- energy minimization
- unlabeled data
- semi supervised learning
- supervised learning
- optimal solution
- training examples
- labeled data
- learning process
- training set
- experimental design
- sample selection
- active learning strategies
- annotation effort
- energy function
- relevance feedback
- feature selection
- neural network