Concepedia

Autoencoders

Autoencoders is a neural network model designed for unsupervised learning that consists of an encoder that compresses input data into a lower-dimensional latent representation and a decoder that reconstructs the original input from this representation, thereby enabling dimensionality reduction and representation learning through the minimization of reconstruction error.

3.6K

Publications

307.9K

Citations

13.8K

Authors

2.4K

Institutions

Publications per year

2017–2026

3.2K

Variants

Autoencoder

Parents

Publications

3.6K

Reducing the Dimensionality of Data with Neural Networks

Geoffrey E. Hinton, Ruslan Salakhutdinov · Science · 2006 · 21K citations

, , +14

High-Resolution Image Synthesis with Latent Diffusion Models

Robin Rombach, Andreas Blattmann, Dominik Lorenz et al. · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · 2022 · 13.7K citations

, , +15

Extracting and composing robust features with denoising autoencoders

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

, , +16

Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion

Pascal Vincent, Hugo Larochelle, Isabelle Lajoie et al. · 2010 · 5K citations

, , +7

Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion

VincentPascal, LarochelleHugo, LajoieIsabelle et al. · Journal of Machine Learning Research · 2010 · 4.1K citations

, , +7

1–5 of 3.6K

Authors

13.8K

  1. MW
    Max Welling

    University of Amsterdam, Netherlands

    20 publications · 4.9K citations

    17

    h-index

  2. YB
    Yoshua Bengio

    Université de Montréal, Canada

    20 publications · 14.8K citations

    16

    h-index

  3. BW
    Björn W. Schuller

    Imperial College London, United Kingdom

    11 publications · 925 citations

    11

    h-index

  4. YL
    Yann LeCun

    New York University, United States

    12 publications · 1.6K citations

    11

    h-index

  5. LC
    Lawrence Carin

    Duke University, United States

    12 publications · 1.2K citations

    11

    h-index

1–5 of 13.8K

Institutions

2.4K

  1. Google (United States)

    Mountain View, United States

    37 h-index

    174 publications

    47.8K citations

  2. Chinese Academy of Sciences

    Beijing, China

    35 h-index

    229 publications

    13.4K citations

  3. Tsinghua University

    Beijing, China

    33 h-index

    148 publications

    16.2K citations

  4. University of Chinese Academy of Sciences

    Beijing, China

    31 h-index

    112 publications

    6.5K citations

  5. Carnegie Mellon University

    Pittsburgh, United States

    29 h-index

    104 publications

    9.2K citations

  6. Peking University

    Beijing, China

    29 h-index

    94 publications

    8.4K citations

  7. Imperial College London

    London, United Kingdom

    28 h-index

    71 publications

    5K citations

  8. Xidian University

    Xi'an, China

    28 h-index

    115 publications

    7.8K citations

1–8 of 2.4K

Venues

  1. arXiv (Cornell University)

    Repository · 586 publications · 43K citations

    99

    h-index

  2. IEEE Access

    95 publications · 6.2K citations

    40

    h-index

  3. 36

    h-index

  4. 32

    h-index

  5. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 54 publications · 3.1K citations

    28

    h-index

1–5