contrastive-active-learning

Code for the EMNLP 2021 Paper "Active Learning by Acquiring Contrastive Examples" & the ACL 2022 Paper "On the Importance of Effectively Adapting Pretrained Language Models for Active Learning"

natural-language-processing

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126 Stars

13 Forks

126 Watchers

Python Language

gpl-3.0 License

Cost to Build

$1.79M

Market Value

$4.54M

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Growth over time

4 data points · 2022-07-01 → 2025-08-01

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What is the mourga/contrastive-active-learning GitHub project? Description: "Code for the EMNLP 2021 Paper "Active Learning by Acquiring Contrastive Examples" & the ACL 2022 Paper "On the Importance of Effectively Adapting Pretrained Language Models for Active Learning"". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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