1. Bayesian active learning for classification and preference learning;houlsby;CoRR,2011
2. An analysis of active learning strategies for sequence labeling tasks
3. Rmsprop: Divide the gradient by a running average of its recent magnitude;hinton;Lecture,2012
4. Active learning for convolutional neural networks: A core-set approach;sener;Proc of the International Conference on Learning Representations (ICLR),2018
5. Task-Aware Variational Adversarial Active Learning