Variational Adversarial Active Learning.
Samarth SinhaSayna EbrahimiTrevor DarrellPublished in: CoRR (2019)
Keyphrases
- active learning
- label noise
- learning algorithm
- learning strategies
- semi supervised
- image segmentation
- selective sampling
- pool based active learning
- random sampling
- supervised learning
- cost sensitive
- imbalanced data classification
- machine learning
- methods in computer vision
- training examples
- semi supervised learning
- relevance feedback
- optical flow
- labeled data
- optical flow computation
- learning process
- training set
- annotation effort
- multi agent
- class imbalance
- variational methods
- variational framework
- crowd sourced
- active learning strategies
- information retrieval