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cs.LG2024
One-shot Active Learning Based on Lewis Weight Sampling for Multiple Deep Models
Sheng-Jun Huang, Yi Li, Yiming Sun +1
Active learning (AL) for multiple target models aims to reduce labeled data querying while effectively training multiple models concurrently. Existing AL algorithms often rely on i…
cs.LG2019★ 38 cited
ALiPy: Active Learning in Python
Ying-Peng Tang, Guo-Xiang Li, Sheng-Jun Huang
Supervised machine learning methods usually require a large set of labeled examples for model training. However, in many real applications, there are plentiful unlabeled data but l…