Concepedia

Representation Learning Theory

Representation Learning Theory is a theoretical framework within machine learning that formally characterizes the principles and mechanisms by which learned representations capture underlying data structures, invariants, and abstraction hierarchies to facilitate generalization across tasks and domains.

554

Publications

101K

Citations

1.6K

Authors

505

Institutions

Publications per year

2017–2026

346

Parents

Publications

554

Learning representations by back-propagating errors

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

, , +11

Extracting and composing robust features with denoising autoencoders

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

, , +16

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

Human-level concept learning through probabilistic program induction

Brenden M. Lake, Ruslan Salakhutdinov, Joshua B. Tenenbaum · Science · 2015 · 2.9K citations

, , +16

Relational inductive biases, deep learning, and graph networks

arXiv (Cornell University) · 2018 · 2.4K citations · Full text

, , +14

1–5 of 554

Authors

1.6K

  1. YB
    Yoshua Bengio

    Université de Montréal, Canada

    16 publications · 11.6K citations

    14

    h-index

  2. TP
    Tomaso Poggio

    Massachusetts Institute of Technology, United States

    13 publications · 333 citations

    12

    h-index

  3. BS
    Bernhard Schölkopf

    Max Planck Institute for Intelligent Systems, Germany

    9 publications · 1.1K citations

    9

    h-index

  4. LR
    Lorenzo Rosasco

    University of Genoa, Italy

    9 publications · 252 citations

    9

    h-index

  5. FL
    Francesco Locatello

    Max Planck Institute for Intelligent Systems, Germany

    8 publications · 1.1K citations

    8

    h-index

1–5 of 1.6K

Institutions

505

  1. Google (United States)

    Mountain View, United States

    17 h-index

    46 publications

    13.8K citations

  2. Carnegie Mellon University

    Pittsburgh, United States

    15 h-index

    25 publications

    38.7K citations

  3. Massachusetts Institute of Technology

    Cambridge, United States

    14 h-index

    52 publications

    11.8K citations

  4. Université de Montréal

    Montreal, Canada

    13 h-index

    58 publications

    38.4K citations

  5. Stanford University

    Stanford, United States

    11 h-index

    18 publications

    1.8K citations

  6. Max Planck Institute for Intelligent Systems

    Stuttgart, Germany

    11 h-index

    23 publications

    3.2K citations

  7. University of Toronto

    Toronto, Canada

    11 h-index

    13 publications

    5.4K citations

  8. Tsinghua University

    Beijing, China

    10 h-index

    19 publications

    1.7K citations

1–8 of 505

Venues

  1. arXiv (Cornell University)

    Repository · 136 publications · 13.6K citations

    48

    h-index

  2. Neural Information Processing Systems

    Conference · 13 publications · 1.4K citations

    11

    h-index

  3. Pattern Recognition

    11 publications · 345 citations

    11

    h-index

  4. Neural Networks

    11 publications · 2.5K citations

    10

    h-index

  5. Neurocomputing

    10 publications · 291 citations

    10

    h-index

1–5