Concepedia

Mixture Of Experts

Mixture of Experts is a type of ensemble learning model in which a gating network dynamically assigns input instances to specialized submodels, or "experts," each trained on distinct regions of the input space to improve overall predictive performance.

311

Publications

47.1K

Citations

1.1K

Authors

337

Institutions

Publications per year

2017–2026

114

Parents

Publications

311

Distilling the Knowledge in a Neural Network

Geoffrey E. Hinton, Oriol Vinyals · arXiv (Cornell University) · 2015 · 14K citations · Full text

, , +15

Training Products of Experts by Minimizing Contrastive Divergence

Geoffrey E. Hinton · Neural Computation · 2002 · 5K citations

, , +15

Adaptive Mixtures of Local Experts

Robert A. Jacobs, Michael I. Jordan, Steven J. Nowlan et al. · Neural Computation · 1991 · 5K citations

, , +14

Hierarchical Mixtures of Experts and the EM Algorithm

Michael I. Jordan, Robert A. Jacobs · Neural Computation · 1994 · 2.6K citations

, , +14

Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts

Jiaqi Ma, Zhe Zhao, Xinyang Yi et al. · 2018 · 1.1K citations · Full text

, , +11

1–5 of 311

Authors

1.1K

  1. RE
    Reza Ebrahimpour

    Shahid Rajaee Teacher Training University, Iran

    8 publications · 658 citations

    8

    h-index

  2. JG
    Joydeep Ghosh

    The University of Texas at Austin, United States

    7 publications · 220 citations

    7

    h-index

  3. MF
    M.C. Fairhurst

    University of Kent, United Kingdom

    6 publications · 155 citations

    6

    h-index

  4. FR
    Fuad Rahman

    University of Kent, United Kingdom

    6 publications · 155 citations

    6

    h-index

  5. MI
    Michael I. Jordan

    University of California, Berkeley, United States

    6 publications · 8.3K citations

    6

    h-index

1–5 of 1.1K

Institutions

337

  1. University of Toronto

    Toronto, Canada

    11 h-index

    20 publications

    10.9K citations

  2. The University of Texas at Austin

    Austin, United States

    9 h-index

    19 publications

    709 citations

  3. Google (United States)

    Mountain View, United States

    9 h-index

    49 publications

    10.1K citations

  4. Shahid Rajaee Teacher Training University

    Tehran, Iran

    8 h-index

    16 publications

    791 citations

  5. Northwestern University

    Evanston, United States

    7 h-index

    11 publications

    605 citations

  6. University of Kent

    Canterbury, United Kingdom

    7 h-index

    12 publications

    317 citations

  7. Carnegie Mellon University

    Pittsburgh, United States

    6 h-index

    13 publications

    802 citations

  8. Massachusetts Institute of Technology

    Cambridge, United States

    6 h-index

    12 publications

    13.9K citations

1–8 of 337

Venues

  1. arXiv (Cornell University)

    Repository · 32 publications · 15.3K citations

    18

    h-index

  2. Neural Computation

    11 publications · 13.2K citations

    11

    h-index

  3. Expert Systems with Applications

    9 publications · 567 citations

    9

    h-index

  4. Neurocomputing

    7 publications · 334 citations

    7

    h-index

  5. Neural Networks

    6 publications · 638 citations

    6

    h-index

1–5