1. Deep neural networks are easily fooled: high confidence predictions for unrecognizable images;Nguyen;Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR),2015
2. Support vector machine active learning with applications to text classification;Tong;J. Mach. Learn. Res.,2002
3. An analysis of active learning strategies for sequence labeling tasks;Settles,2008
4. Active learning for deep object detection;Brust,2019
5. Dropout as a Bayesian approximation: representing model uncertainty in deep learning;Gal,2016