Concepedia

Uncertainty Sampling

Uncertainty Sampling is an active learning strategy that belongs to the class of query selection methods and is distinguished by its criterion of selecting unlabeled instances for annotation based on the lowest confidence or highest predictive uncertainty of a model.

96

Publications

4.9K

Citations

337

Authors

142

Institutions

Publications per year

2017–2026

55

Parents

Publications

96

Multi-class active learning for image classification

Ajay J. Joshi, Fatih Porikli, Nikolaos Papanikolopoulos · 2009 IEEE Conference on Computer Vision and Pattern Recognition · 2009 · 568 citations

, , +13

Multi-Class Active Learning by Uncertainty Sampling with Diversity Maximization

Yi Yang, Zhigang Ma, Feiping Nie et al. · International Journal of Computer Vision · 2014 · 460 citations

, , +11

Submodularity in Data Subset Selection and Active Learning

Kai Wei, Rishabh Iyer, Jeff Bilmes · International Conference on Machine Learning · 2015 · 226 citations

, , +17

Active Sampling for Class Probability Estimation and Ranking

Foster Provost, Maytal Saar‐Tsechansky · The Faculty Digital Archive (New York University) · 2004 · 192 citations

, , +16

Active learning with sampling by uncertainty and density for word sense disambiguation and text classification

Jingbo Zhu, Huizhen Wang, Tianshun Yao et al. · 2008 · 183 citations · Full text

, , +11

1–5 of 96

Authors

337

  1. RT
    Ryo Tamura

    The University of Tokyo, Japan

    4 publications · 133 citations

    4

    h-index

  2. KT
    Kei Terayama

    Yokohama City University, Japan

    4 publications · 133 citations

    4

    h-index

  3. YN
    Yoshitaro Nose

    Kyoto University, Japan

    4 publications · 133 citations

    4

    h-index

  4. RK
    Ryoji Katsube

    Kyoto University, Japan

    3 publications · 72 citations

    3

    h-index

  5. DW
    Devesh Walawalkar

    Carnegie Mellon University, United States

    2 publications · 80 citations

    2

    h-index

1–5 of 337

Institutions

142

  1. Carnegie Mellon University

    Pittsburgh, United States

    7 h-index

    22 publications

    1.8K citations

  2. The University of Texas at Austin

    Austin, United States

    6 h-index

    11 publications

    608 citations

  3. The University of Tokyo

    Tokyo, Japan

    4 h-index

    5 publications

    194 citations

  4. RIKEN Center for Advanced Intelligence Project

    Tokyo, Japan

    4 h-index

    7 publications

    249 citations

  5. Northeastern University

    Shenyang, China

    4 h-index

    8 publications

    938 citations

  6. National Institute for Materials Science

    Tsukuba, Japan

    4 h-index

    13 publications

    357 citations

  7. University of Washington

    Seattle, United States

    4 h-index

    8 publications

    887 citations

  8. Kyoto University

    Kyoto, Japan

    4 h-index

    11 publications

    385 citations

1–8 of 142

Venues

  1. arXiv (Cornell University)

    Repository · 7 publications · 162 citations

    7

    h-index

  2. Machine Learning

    3 publications · 229 citations

    3

    h-index

  3. 2009 IEEE Conference on Computer Vision and Pattern Recognition

    Conference · 2 publications · 717 citations

    2

    h-index

  4. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 2 publications · 147 citations

    2

    h-index

  5. Physical Review Materials

    1 publications · 61 citations

    1

    h-index

1–5