BALQUE: Batch active learning by querying unstable examples with calibrated confidence

Yincheng Han, Dajiang Liu, Jiaxing Shang, Linjiang Zheng, Jiang Zhong, Weiwei Cao, Hong Sun, Wu Xie

Abstract: Highlights•The active learning algorithm selects unstable examples by calibrated confidence..•The confidence calibration method only requires training a single model.•Extensive experiments show the competitive performance of the proposed approach.