Mini toolsDefinition
Models that query for labels on the most informative data.
Detailed Explanation
Active Learning allows a model to select the data from which it learns by querying an oracle (e.g., human annotator) for labels on specific data points. This approach reduces labeling costs by focusing on the most informative samples.
Use Cases
Reducing labeling costs improving models with limited data medical imaging (annotating scans) natural language processing sentiment analysis.
