Concepedia

Collaborative Ensemble Training

Collaborative Ensemble Training is a machine learning framework in which multiple models are jointly optimized through cooperative interactions during the training phase to improve collective predictive performance beyond what individual models or independently trained ensembles can achieve.

13

Publications

1.3K

Citations

41

Authors

31

Institutions

Publications per year

2017–2026

8

Parents

Publications

13

A constructive algorithm for training cooperative neural network ensembles

Md. Monirul Islam, Xin Yao, Kazuyuki Murase · IEEE Transactions on Neural Networks · 2003 · 299 citations

, , +13

Simultaneous training of negatively correlated neural networks in an ensemble

Yong Liu, Xin Yao · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) · 1999 · 268 citations

, , +16

Cross-Modality Person Re-Identification via Modality-Aware Collaborative Ensemble Learning

Mang Ye, Xiangyuan Lan, Qingming Leng et al. · IEEE Transactions on Image Processing · 2020 · 231 citations

, , +16

Peer Collaborative Learning for Online Knowledge Distillation

Guile Wu, Shaogang Gong · Proceedings of the AAAI Conference on Artificial Intelligence · 2021 · 129 citations · Full text

, , +14

Bagging and Boosting Negatively Correlated Neural Networks

Mohammad Monirul Islam, Xin Yao, Shahriar Nirjon et al. · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) · 2008 · 87 citations · Full text

, , +15

1–5 of 13

Authors

41

  1. XY
    Xin Yao

    University of Birmingham, United Kingdom

    4 publications · 696 citations

    4

    h-index

  2. KM
    Kazuyuki Murase

    University of Fukui, Japan

    2 publications · 386 citations

    2

    h-index

  3. YL
    Yong Liu

    UNSW Sydney, Australia

    2 publications · 310 citations

    2

    h-index

  4. XK
    Xiangjie Kong

    Dalian University of Technology, China

    1 publications · 23 citations

    1

    h-index

  5. ZX
    Zhao Xu

    Hong Kong Polytechnic University, Hong Kong SAR China

    1 publications · 13 citations

    1

    h-index

1–5 of 41

Institutions

31

  1. Microsoft Research Asia (China)

    Beijing, China

    2 h-index

    3 publications

    80 citations

  2. University of Nebraska–Lincoln

    Lincoln, United States

    1 h-index

    1 publications

    15 citations

  3. Google (Switzerland)

    Zurich, Switzerland

    1 h-index

    1 publications

    20 citations

  4. University of Zagreb

    Zagreb, Croatia

    1 h-index

    2 publications

    40 citations

  5. Siemens (Germany)

    Munich, Germany

    1 h-index

    1 publications

    13 citations

  6. Dalian University of Technology

    Dalian, China

    1 h-index

    7 publications

    161 citations

  7. Horizon Robotics (China)

    Beijing, China

    1 h-index

    1 publications

    54 citations

  8. Electrotechnical Institute

    Wrocław, Poland

    1 h-index

    1 publications

    268 citations

1–8 of 31

Venues

  1. 2

    h-index

  2. World Wide Web

    1 publications · 23 citations

    1

    h-index

  3. 1

    h-index

  4. 1

    h-index

  5. IEEE Transactions on Neural Networks

    1 publications · 299 citations

    1

    h-index

1–5