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Keyword

uncertainty sampling

Description: An active learning strategy that selects unlabeled examples about which a model is least certain for annotation.
OpenAlex ID: keywords/uncertainty-sampling
A Sequential Algorithm for Training Text Classifiers
1994 · David D. Lewis, William A. Gale · Springer eBooks · 1,190
Heterogeneous Uncertainty Sampling for Supervised Learning
1994 · David D. Lewis, Jason Catlett · Elsevier eBooks · 1,183
Multi-class active learning for image classification
2009 · Ajay J. Joshi, Fatih Porikli, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 587
A Survey of Active Learning Algorithms for Supervised Remote Sensing Image Classification
2011 · Devis Tuia, Michele Volpi, et al. · IEEE Journal of Selected Topics in Signal Processing · 558
Transformation pseudoelasticity and deformation behavior in a Ti-50.6at%Ni alloy
1981 · S. Miyazaki, K. Otsuka, et al. · Scripta Metallurgica · 497
Uncertainty models for stochastic optimization in renewable energy applications
2019 · A. Zakaria, Firas B. Ismail, et al. · Renewable Energy · 486
Multi-Class Active Learning by Uncertainty Sampling with Diversity Maximization
2014 · Yi Yang, Zhigang Ma, et al. · International Journal of Computer Vision · 447
Active learning for logistic regression: an evaluation
2007 · Andrew I. Schein, Lyle H. Ungar · Machine Learning · 346
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Submodularity in Data Subset Selection and Active Learning
2015 · Kai Wei, Rishabh Iyer, et al. · International Conference on Machine Learning · 239
Design of a regional climate modelling projection ensemble experiment – NARCliM
2014 · J. P. Evans, F. Ji, et al. · Geoscientific model development · 230
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How to measure uncertainty in uncertainty sampling for active learning
2021 · Vu-Linh Nguyen, Mohammad Hossein Shaker, et al. · Machine Learning · 196
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Active Sampling for Class Probability Estimation and Ranking
2004 · Provost, Foster, Saar-Tsechansky, Maytal · Faculty Digital Archive (New York University Florence) · 192
Active learning with sampling by uncertainty and density for word sense disambiguation and text classification
2008 · Jingbo Zhu, Huizhen Wang, et al. · International Conference on Computational Linguistics · 182
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Deep Bayesian Active Learning for Natural Language Processing: Results of a Large-Scale Empirical Study
2018 · Aditya Siddhant, Zachary C. Lipton · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 178
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Dual Strategy Active Learning
2007 · Pinar Donmez, Jaime G. Carbonell, et al. · Lecture notes in computer science · 175
A stopping criterion for active learning
2007 · Andreas Vlachos · Computer Speech & Language · 153
A study of active learning methods for named entity recognition in clinical text
2015 · Yukun Chen, Thomas A. Lasko, et al. · Journal of Biomedical Informatics · 149
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Evaluation of machine-learning protocols for technology-assisted review in electronic discovery
2014 · Gordon V. Cormack, Maura R. Grossman · 149
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Multi-class active learning for image classification
2009 · A.J. Joshi, F. Porikli, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 144
Active Learning by Acquiring Contrastive Examples
2021 · Katerina Margatina, Giorgos Vernikos, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 138
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Active Learning With Sampling by Uncertainty and Density for Data Annotations
2009 · J Zhu, H Wang, et al. · IEEE Transactions on Audio Speech and Language Processing · 138
A benchmark and comparison of active learning for logistic regression
2018 · Yazhou Yang, Marco Loog · Pattern Recognition · 137
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Sequential Graph Convolutional Network for Active Learning
2021 · Razvan Caramalau, Binod Bhattarai, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 131
Robust Learning at Noisy Labeled Medical Images: Applied to Skin Lesion Classification
2019 · Cheng Xue, Qi Dou, et al. · IEEE International Symposium on Biomedical Imaging (ISBI) · 127
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Active Discriminative Text Representation Learning
2017 · Ye Zhang, Matthew Lease, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 120
Works count: 982
Citation count: 17,090
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