Concepedia

Inductive Semi-supervised Learning

Inductive Semi-Supervised Learning is a semi-supervised learning paradigm that, given a combination of labeled and unlabeled data, induces a general model capable of making predictions on new, previously unseen instances outside the initial training set.

51

Publications

4.2K

Citations

145

Authors

70

Institutions

Publications per year

2017–2026

14

Parents

Publications

51

Revisiting Semi-Supervised Learning with Graph Embeddings

Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov · arXiv (Cornell University) · 2016 · 284 citations · Full text

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Towards Making Unlabeled Data Never Hurt

Yufeng Li, Zhihua Zhou · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2014 · 266 citations

, , +12

Proceedings of the Seventeenth International Conference on Machine Learning (ICML-2000)

Pat Langley, San Francisco, California Ub et al. · 2000 · 248 citations

, , +12

The International Conference on Machine Learning (ICML 2011)

Kyunghyun Cho, Tapani Raiko, Alexander Ilin · 2011 · 215 citations

, , +13

Proceedings of the 24th Annual International Conference on Machine Learning (ICML 2007)

Manfred Jaeger · 2007 · 214 citations

, , +15

1–5 of 51

Authors

145

  1. FN
    Feiping Nie

    Northwestern Polytechnical University, China

    2 publications · 87 citations

    2

    h-index

  2. GB
    Gilles Blanchard

    University of Potsdam, Germany

    2 publications · 257 citations

    2

    h-index

  3. CS
    Clayton Scott

    University of Michigan, United States

    2 publications · 257 citations

    2

    h-index

  4. LJ
    Lei Jia

    Shandong University, China

    2 publications · 87 citations

    2

    h-index

  5. MZ
    Min-Ling Zhang

    Southeast University, China

    2 publications · 98 citations

    2

    h-index

1–5 of 145

Institutions

70

  1. Nanjing University

    Nanjing, China

    3 h-index

    5 publications

    725 citations

  2. Sun Yat-sen University

    Guangzhou, China

    2 h-index

    6 publications

    153 citations

  3. Southeast University

    Nanjing, China

    2 h-index

    3 publications

    174 citations

  4. The University of Texas at Arlington

    Arlington, United States

    2 h-index

    6 publications

    261 citations

  5. University of the Basque Country

    Leioa, Spain

    2 h-index

    3 publications

    51 citations

  6. Ikerbasque

    Bilbao, Spain

    2 h-index

    2 publications

    40 citations

  7. Rutgers, The State University of New Jersey

    New Brunswick, United States

    2 h-index

    4 publications

    558 citations

  8. Artificial Intelligence Research Institute

    Cerdanyola del Vallès, Spain

    2 h-index

    5 publications

    204 citations

1–8 of 70

Venues

  1. 2

    h-index

  2. Neural Networks

    2 publications · 44 citations

    2

    h-index

  3. arXiv (Cornell University)

    Repository · 2 publications · 301 citations

    2

    h-index

  4. International Conference on Machine Learning

    Conference · 2 publications · 269 citations

    2

    h-index

  5. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 2 publications · 96 citations

    2

    h-index

1–5