Concepedia

Hierarchical Representation Learning

Hierarchical Representation Learning is a representation learning framework that organizes learned features into multiple levels of abstraction, where higher layers capture increasingly complex and invariant patterns through a structured composition of simpler features from lower layers.

625

Publications

60K

Citations

2.1K

Authors

665

Institutions

Publications per year

2017–2026

400

Parents

Publications

625

International Conference on Learning Representations (ICLR 2013)

豊 松尾 · 人工知能学会誌 = Journal of Japanese Society for Artificial Intelligence · 2013 · 6.3K citations

, , +15

5th International Conference on Learning Representations (ICLR 17)

Serhii Havrylov, Ivan Titov · 2017 · 3.5K citations

, , +15

Deep learning applications and challenges in big data analytics

Maryam M. Najafabadi, Flavio Villanustre, Taghi M. Khoshgoftaar et al. · Journal Of Big Data · 2015 · 2.6K citations · Full text

, , +9

Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations

Honglak Lee, Roger Grosse, Rajesh Ranganath et al. · 2009 · 2.4K citations

, , +15

Adaptive deconvolutional networks for mid and high level feature learning

Matthew D. Zeiler, Graham W. Taylor, Rob Fergus · 2011 · 1.3K citations

, , +16

1–5 of 625

Authors

2.1K

  1. GE
    Geoffrey E. Hinton

    University of Toronto, Canada

    9 publications · 930 citations

    9

    h-index

  2. HL
    Honglak Lee

    University of Michigan, United States

    8 publications · 4K citations

    8

    h-index

  3. TP
    Tomaso Poggio

    Massachusetts Institute of Technology, United States

    8 publications · 535 citations

    8

    h-index

  4. JF
    Jianping Fan

    University of North Carolina at Charlotte, United States

    8 publications · 241 citations

    8

    h-index

  5. LR
    Lorenzo Rosasco

    University of Genoa, Italy

    7 publications · 197 citations

    7

    h-index

1–5 of 2.1K

Institutions

665

  1. Stanford University

    Stanford, United States

    18 h-index

    60 publications

    17.4K citations

  2. Tsinghua University

    Beijing, China

    18 h-index

    45 publications

    3K citations

  3. Chinese Academy of Sciences

    Beijing, China

    15 h-index

    65 publications

    7.1K citations

  4. Google (United States)

    Mountain View, United States

    14 h-index

    44 publications

    3.8K citations

  5. Peking University

    Beijing, China

    13 h-index

    40 publications

    3.1K citations

  6. Shanghai Jiao Tong University

    Shanghai, China

    12 h-index

    28 publications

    1.7K citations

  7. University of Chinese Academy of Sciences

    Beijing, China

    12 h-index

    29 publications

    1.5K citations

  8. Massachusetts Institute of Technology

    Cambridge, United States

    12 h-index

    24 publications

    2.7K citations

1–8 of 665

Venues

  1. arXiv (Cornell University)

    Repository · 78 publications · 4.5K citations

    36

    h-index

  2. IEEE Transactions on Image Processing

    21 publications · 2.5K citations

    19

    h-index

  3. 12

    h-index

  4. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 11 publications · 1.3K citations

    11

    h-index

  5. Neurocomputing

    12 publications · 294 citations

    11

    h-index

1–5