Concepedia

Latent Feature Learning

Latent Feature Learning is a domain-specific feature design approach that discovers underlying, non-observable representations from raw data through computational models, distinguishing itself by inferring hierarchical, abstract patterns that capture essential structural or semantic properties not explicitly defined by handcrafted features.

612

Publications

47.2K

Citations

2.1K

Authors

572

Institutions

Publications per year

2017–2026

453

Parents

Publications

612

beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework

Irina Higgins, Löıc Matthey, Arka Pal et al. · International Conference on Learning Representations · 2017 · 3.1K citations

, , +16

DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Huifeng Guo, Ruiming Tang, Yunming Ye et al. · 2017 · 2.2K citations · Full text

, , +17

Graph Neural Networks for Social Recommendation

Wenqi Fan, Yao Ma, Qing Li et al. · 2019 · 1.9K citations · Full text

, , +14

Neural networks and principal component analysis: Learning from examples without local minima

Pierre Baldi, Kurt Hornik · Neural Networks · 1989 · 1.4K citations

, , +13

Domain Generalization with Adversarial Feature Learning

Haoliang Li, Sinno Jialin Pan, Shiqi Wang et al. · 2018 · 1.2K citations

, , +13

1–5 of 612

Authors

2.1K

  1. TL
    Thomas L. Griffiths

    University of California, Berkeley, United States

    6 publications · 1.4K citations

    6

    h-index

  2. ZD
    Zhengming Ding

    Northeastern University, United States

    5 publications · 428 citations

    5

    h-index

  3. CT
    Chang Tang

    China University of Geosciences, China

    4 publications · 456 citations

    4

    h-index

  4. LC
    Lawrence Carin

    Duke University, United States

    4 publications · 390 citations

    4

    h-index

  5. YH
    Yi He

    Old Dominion University, United States

    4 publications · 201 citations

    4

    h-index

1–5 of 2.1K

Institutions

572

  1. Chinese Academy of Sciences

    Beijing, China

    16 h-index

    58 publications

    3.5K citations

  2. Harbin Institute of Technology

    Harbin, China

    14 h-index

    35 publications

    6.6K citations

  3. Tsinghua University

    Beijing, China

    14 h-index

    45 publications

    4.6K citations

  4. University of Chinese Academy of Sciences

    Beijing, China

    12 h-index

    29 publications

    2.1K citations

  5. Xidian University

    Xi'an, China

    12 h-index

    36 publications

    2K citations

  6. Nanyang Technological University

    Singapore, Singapore

    11 h-index

    23 publications

    5.4K citations

  7. Northwestern Polytechnical University

    Xi'an, China

    11 h-index

    27 publications

    1.7K citations

  8. Beihang University

    Beijing, China

    11 h-index

    20 publications

    1.2K citations

1–8 of 572

Venues

  1. arXiv (Cornell University)

    Repository · 56 publications · 2.7K citations

    29

    h-index

  2. 17

    h-index

  3. IEEE Transactions on Image Processing

    14 publications · 1.4K citations

    14

    h-index

  4. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 14 publications · 1.9K citations

    14

    h-index

  5. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 11 publications · 763 citations

    13

    h-index

1–5