Concepedia

Tri-training

Tri-Training is a semi-supervised learning framework in which three diverse models are iteratively trained on labeled data and subsequently leverage unlabeled data by mutually providing pseudo-labels to enhance each other’s generalization.

46

Publications

3.9K

Citations

160

Authors

68

Institutions

Publications per year

2017–2026

25

Parents

Publications

46

Tri-training: exploiting unlabeled data using three classifiers

Zhi‐Hua Zhou, Ming Li · IEEE Transactions on Knowledge and Data Engineering · 2005 · 1.2K citations

, , +13

An extensive experimental comparison of methods for multi-label learning

Gjorgji Madjarov, Dragi Kocev, Dejan Gjorgjevikj et al. · Pattern Recognition · 2012 · 731 citations

, , +12

Asymmetric Tri-training for Unsupervised Domain Adaptation

Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada · arXiv (Cornell University) · 2017 · 442 citations · Full text

, , +11

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

Manfred Jaeger · 2007 · 214 citations

, , +15

Tri-net for Semi-Supervised Deep Learning

Dongdong Chen, Wei Wang, Wei Gao et al. · 2018 · 145 citations

, , +12

1–5 of 46

Authors

160

  1. JZ
    Jishuai Zhu

    China University of Mining and Technology, China

    2 publications · 42 citations

    2

    h-index

  2. KT
    Kun Tan

    China University of Mining and Technology, China

    2 publications · 42 citations

    2

    h-index

  3. YU
    Yoshitaka Ushiku

    The University of Tokyo, Japan

    2 publications · 462 citations

    2

    h-index

  4. KS
    Kuniaki Saito

    The University of Tokyo, Japan

    2 publications · 462 citations

    2

    h-index

  5. YY
    Yali Yuan

    University of Göttingen, Germany

    2 publications · 51 citations

    2

    h-index

1–5 of 160

Institutions

68

  1. Nanjing University

    Nanjing, China

    4 h-index

    13 publications

    3.3K citations

  2. China University of Mining and Technology

    Xuzhou, China

    3 h-index

    11 publications

    216 citations

  3. Tsinghua University

    Beijing, China

    2 h-index

    6 publications

    99 citations

  4. Xidian University

    Xi'an, China

    2 h-index

    6 publications

    249 citations

  5. The University of Tokyo

    Tokyo, Japan

    2 h-index

    6 publications

    1.4K citations

  6. Chinese Academy of Sciences

    Beijing, China

    2 h-index

    8 publications

    154 citations

  7. University of Copenhagen

    Copenhagen, Denmark

    2 h-index

    3 publications

    119 citations

  8. Harbin Institute of Technology

    Harbin, China

    2 h-index

    7 publications

    160 citations

1–8 of 68

Venues

  1. Knowledge-Based Systems

    2 publications · 30 citations

    2

    h-index

  2. Remote Sensing

    2 publications · 42 citations

    2

    h-index

  3. arXiv (Cornell University)

    Repository · 2 publications · 462 citations

    2

    h-index

  4. 1

    h-index

  5. Neurocomputing

    1 publications · 30 citations

    1

    h-index

1–5