Concepedia

Representation Learning For Transfer

Representation Learning for Transfer is a machine learning methodology that acquires latent feature spaces from simulation environments to enable effective knowledge transfer to real-world domains by preserving task-relevant invariances and minimizing domain shift.

103

Publications

8K

Citations

391

Authors

188

Institutions

Publications per year

2017–2026

80

Parents

Publications

103

Domain-adversarial training of neural networks

GaninYaroslav, UstinovaEvgeniya, AjakanHana et al. · Journal of Machine Learning Research · 2016 · 1.2K citations

, , +12

Deep Learning of Representations for Unsupervised and Transfer Learning.

Yoshua Bengio · 2011 · 894 citations

, , +14

A transfer learning method with deep residual network for pediatric pneumonia diagnosis

Gaobo Liang, Lixin Zheng · Computer Methods and Programs in Biomedicine · 2019 · 481 citations

, , +12

Unsupervised Cross-Dataset Transfer Learning for Person Re-identification

Peixi Peng, Tao Xiang, Yaowei Wang et al. · 2016 · 441 citations · Full text

, , +14

Analysis of transfer learning for deep neural network based plant classification models

Ali Seydi Keçeli, Cagatay Catal, Hüseyin Temuçin et al. · Computers and Electronics in Agriculture · 2019 · 438 citations

, , +9

1–5 of 103

Authors

391

  1. BS
    Bernhard Schölkopf

    Max Planck Institute for Intelligent Systems, Germany

    5 publications · 115 citations

    5

    h-index

  2. SB
    Stefan Bauer

    Max Planck Institute for Intelligent Systems, Germany

    5 publications · 115 citations

    5

    h-index

  3. FL
    Francesco Locatello

    Max Planck Institute for Intelligent Systems, Germany

    4 publications · 101 citations

    4

    h-index

  4. MW
    Manuel Wüthrich

    Max Planck Institute for Intelligent Systems, Germany

    4 publications · 101 citations

    4

    h-index

  5. MW
    Muhammad Waleed Gondal

    Max Planck Institute for Biological Cybernetics, Germany

    3 publications · 85 citations

    3

    h-index

1–5 of 391

Institutions

188

  1. Chinese Academy of Sciences

    Beijing, China

    5 h-index

    12 publications

    1.4K citations

  2. École Polytechnique Fédérale de Lausanne

    Lausanne, Switzerland

    4 h-index

    7 publications

    317 citations

  3. Nanyang Technological University

    Singapore, Singapore

    3 h-index

    4 publications

    408 citations

  4. Harvard University

    Cambridge, United States

    3 h-index

    5 publications

    461 citations

  5. Institute of Computing Technology

    Beijing, China

    3 h-index

    10 publications

    1.4K citations

  6. Old Dominion University

    Norfolk, United States

    3 h-index

    10 publications

    478 citations

  7. University of Chinese Academy of Sciences

    Beijing, China

    3 h-index

    9 publications

    751 citations

  8. National University of Singapore

    Singapore, Singapore

    3 h-index

    6 publications

    113 citations

1–8 of 188

Venues

  1. arXiv (Cornell University)

    Repository · 15 publications · 518 citations

    13

    h-index

  2. Neurocomputing

    3 publications · 174 citations

    3

    h-index

  3. Knowledge-Based Systems

    3 publications · 49 citations

    2

    h-index

  4. Reliability Engineering & System Safety

    2 publications · 212 citations

    2

    h-index

  5. MPG.PuRe (Max Planck Society)

    Repository · 2 publications · 59 citations

    2

    h-index

1–5