Clearloveyuan/awesome-active-learning-New

Active Learning Awesome Paper

33
/ 100
Emerging

This curated list helps researchers and practitioners explore the latest advancements in Active Learning. It compiles academic papers and resources related to algorithms that efficiently select data points for manual labeling, which is crucial when acquiring labeled data is costly. Researchers, data scientists, and machine learning engineers seeking to optimize data annotation efforts would find this useful.

133 stars. No commits in the last 6 months.

Use this if you are a researcher or practitioner looking for a comprehensive collection of active learning papers from top conferences to inform your research or development.

Not ideal if you are looking for an active learning software library or a step-by-step tutorial for implementing active learning models.

machine-learning-research data-annotation computational-linguistics computer-vision data-science
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 7 / 25

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133

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4

Language

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License

MIT

Last pushed

Jul 27, 2023

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