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Learning Loss for Active Learning

Reproducing experimental results of LL4AL [Yoo et al. 2019 CVPR]

From Mephisto405·Updated February 3, 2026·View on GitHub·

Reproducing experimental results of LL4AL [Yoo et al. 2019 CVPR] The project is written primarily in Python, first published in 2019. Key topics include: active-learning, loss, loss-functions.

Learning Loss for Active Learning

Reproducing experimental results of LL4AL [Yoo et al. 2019 CVPR]

Reproduced Results

Results

Requirements

torch >= 1.1.0

numpy >= 1.16.2

tqdm >= 4.31.1

visdom >= 0.1.8.8

To Activate Visdom Server

visdom -port 9000

or

python -m visdom.server -port 9000

Contact

ciy405x@kaist.ac.kr

Contributors

Showing top 1 contributor by commit count.

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This article is auto-generated from Mephisto405/Learning-Loss-for-Active-Learning via the GitHub API.Last fetched: 6/14/2026