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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.LG2022
Online Active Regression
Cheng Chen, Yi Li, Yiming Sun
Active regression considers a linear regression problem where the learner receives a large number of data points but can only observe a small number of labels. Since online algorit…