Minimizing Annotation Effort via Max-Volume Spectral Sampling.
Ariadna QuattoniXavier CarrerasPublished in: EMNLP (Findings) (2021)
Keyphrases
- annotation effort
- active learning
- random sampling
- training data
- sampling algorithm
- sampling strategies
- spectral analysis
- spectral images
- image analysis
- monte carlo
- sampling rate
- class imbalance
- introducing additional
- volume data
- sampling methods
- markov chain monte carlo
- data sets
- training set
- image processing
- learning algorithm
- information retrieval