uncertainty sampling

Cold-start Active Learning through Self-supervised Language Modeling EMNLP 2020 Deep Active Learning for Sequence Labeling Based on Diversity and Uncertainty in Gradient AACL 2020 Optimal sampling in unbiased active learning AISTATS 2020 Pre-trained Language Model Based Active Learning for Sentence Matching COLING 2020 State-Relabeling Adversarial Active Learning CVPR 2020 Acoustic Model Bootstrapping Using Semi-Supervised Learning Interspeech 2019 Active Learning Methods for Low Resource End-to-End Speech Recognition Interspeech 2019 Deep Reinforcement Active Learning for Human-in-the-Loop Person Re-Identification ICCV 2019 Learning Loss for Active Learning CVPR 2019 Practical Obstacles to Deploying Active Learning EMNLP 2019 Active learning for deep semantic parsing ACL 2018 A Novel Strategy for Active Task Assignment in Crowd Labeling IJCAI 2018 Deep Bayesian Active Learning for Natural Language Processing: Results of a Large-Scale Empirical Study EMNLP 2018 On the Efficiency of Data Collection for Crowdsourced Classification IJCAI 2018 On the Relationship between Data Efficiency and Error for Uncertainty Sampling ICML 2018 Uncertainty Sampling for Action Recognition via Maximizing Expected Average Precision IJCAI 2018 Uncertainty Sampling is Preconditioned Stochastic Gradient Descent on Zero-One Loss NeurIPS 2018 Multi-instance multi-label active learning IJCAI 2017 Adaptive Active Learning for Image Classification CVPR 2013 Active Learning with Hinted Support Vector Machine ACML 2012 Active learning of neural response functions with Gaussian processes NeurIPS 2011 Active Learning by Querying Informative and Representative Examples NeurIPS 2010 Multi-Level Active Prediction of Useful Image Annotations for Recognition NeurIPS 2008 Active Learning to Recognize Multiple Types of Plankton JMLR 2005