Concepedia

Learned Feature Representations

Learned Feature Representations is a computational construct in machine learning that refers to the hierarchical and data-driven internal representations of input patterns acquired through model training, distinguished from hand-engineered features by their automatic discovery via optimization processes in neural networks or other learning systems.

3.5K

Publications

423.1K

Citations

11.3K

Authors

1.9K

Institutions

Publications per year

2017–2026

2.8K

Parents

Publications

3.5K

Learning representations by back-propagating errors

David E. Rumelhart, Geoffrey E. Hinton, Ronald J. Williams · Nature · 1986 · 30.9K citations

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node2vec

Aditya Grover, Jure Leskovec · 2016 · 10.9K citations

, , +16

Learning Spatiotemporal Features with 3D Convolutional Networks

Du Tran, Lubomir Bourdev, Rob Fergus et al. · 2015 · 9.7K citations

, , +13

Extracting and composing robust features with denoising autoencoders

Pascal Vincent, Hugo Larochelle, Yoshua Bengio et al. · 2008 · 7.3K citations

, , +16

A Simple Framework for Contrastive Learning of Visual Representations

Ting Chen, Simon Kornblith, Mohammad Norouzi et al. · arXiv (Cornell University) · 2020 · 7.3K citations · Full text

, , +16

1–5 of 3.5K

Authors

11.3K

  1. XW
    Xiaogang Wang

    European Organization for Nuclear Research, Switzerland

    18 publications · 12.6K citations

    18

    h-index

  2. YF
    Yun Fu

    Northeastern University, United States

    17 publications · 1.1K citations

    17

    h-index

  3. DS
    Dinggang Shen

    University of North Carolina at Chapel Hill, United States

    14 publications · 2.2K citations

    14

    h-index

  4. WO
    Wanli Ouyang

    The University of Sydney, Australia

    14 publications · 5.6K citations

    14

    h-index

  5. DT
    Dacheng Tao

    The University of Sydney, Australia

    14 publications · 1.7K citations

    13

    h-index

1–5 of 11.3K

Institutions

1.9K

  1. Chinese Academy of Sciences

    Beijing, China

    53 h-index

    328 publications

    33K citations

  2. Tsinghua University

    Beijing, China

    50 h-index

    286 publications

    34.7K citations

  3. Nanyang Technological University

    Singapore, Singapore

    40 h-index

    160 publications

    28.2K citations

  4. University of Chinese Academy of Sciences

    Beijing, China

    39 h-index

    182 publications

    13.4K citations

  5. Peking University

    Beijing, China

    38 h-index

    165 publications

    18.1K citations

  6. Chinese University of Hong Kong

    Hong Kong, Hong Kong

    37 h-index

    145 publications

    52.6K citations

  7. Google (United States)

    Mountain View, United States

    36 h-index

    194 publications

    70.3K citations

  8. Northwestern Polytechnical University

    Xi'an, China

    35 h-index

    182 publications

    23.6K citations

1–8 of 1.9K

Venues

  1. arXiv (Cornell University)

    Repository · 499 publications · 56K citations

    84

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 103 publications · 10.1K citations

    51

    h-index

  3. IEEE Transactions on Image Processing

    82 publications · 10.2K citations

    49

    h-index

  4. 41

    h-index

  5. IEEE Access

    92 publications · 5.2K citations

    39

    h-index

1–5