Mitigating shortage of labeled data using clustering-based active learning with diversity exploration
Published in International Conference on Machine Learning Workshop on Adaptive Experimental Design and Active Learning in the Real World 2022, 2022
Recommended citation: Yan, X., Nazmi, S., Gebru, B., Anwar, M., Homaifar, A., Sarkar, M., & Gupta, K. D. (2022). Mitigating shortage of labeled data using clustering-based active learning with diversity exploration. arXiv preprint arXiv:2207.02964.
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