Concepedia

Learned Feature Embeddings

Learned Feature Embeddings is a type of representation learning method in which high-dimensional data are mapped into a lower-dimensional latent space through data-driven optimization, distinguishing itself from handcrafted feature extraction by enabling the model to autonomously discover and encode semantically meaningful patterns under task-specific objectives.

1.2K

Publications

124.9K

Citations

4.4K

Authors

962

Institutions

Publications per year

2017–2026

1K

Parents

Publications

1.2K

node2vec

Aditya Grover, Jure Leskovec · 2016 · 10.9K citations

, , +16

Extracting and composing robust features with denoising autoencoders

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

, , +16

Coordinate Attention for Efficient Mobile Network Design

Qibin Hou, Daquan Zhou, Jiashi Feng · 2021 · 5.7K citations

, , +15

Exploring Simple Siamese Representation Learning

Xinlei Chen, Kaiming He · 2021 · 3.3K citations

, , +10

X-Vectors: Robust DNN Embeddings for Speaker Recognition

David Snyder, Daniel Garcia-Romero, Gregory Sell et al. · 2018 · 2.7K citations

, , +12

1–5 of 1.2K

Authors

4.4K

  1. LS
    Ling Shao

    Inception Institute of Artificial Intelligence, United Arab Emirates

    14 publications · 1.2K citations

    13

    h-index

  2. PS
    Philip S. Yu

    University of Illinois Chicago, United States

    11 publications · 2.4K citations

    11

    h-index

  3. SW
    Shiping Wang

    Fuzhou University, China

    7 publications · 269 citations

    7

    h-index

  4. WO
    Wanli Ouyang

    The University of Sydney, Australia

    6 publications · 1.7K citations

    6

    h-index

  5. YL
    Yong Li

    Tsinghua University, China

    6 publications · 475 citations

    6

    h-index

1–5 of 4.4K

Institutions

962

  1. Chinese Academy of Sciences

    Beijing, China

    28 h-index

    114 publications

    14.5K citations

  2. Tsinghua University

    Beijing, China

    25 h-index

    117 publications

    11.7K citations

  3. Google (United States)

    Mountain View, United States

    25 h-index

    95 publications

    11.2K citations

  4. Stanford University

    Stanford, United States

    24 h-index

    80 publications

    29.9K citations

  5. Nanyang Technological University

    Singapore, Singapore

    22 h-index

    54 publications

    3.1K citations

  6. University of Chinese Academy of Sciences

    Beijing, China

    22 h-index

    72 publications

    7K citations

  7. Shanghai Jiao Tong University

    Shanghai, China

    19 h-index

    76 publications

    8.2K citations

  8. Zhejiang University

    Hangzhou, China

    18 h-index

    51 publications

    2.5K citations

1–8 of 962

Venues

  1. arXiv (Cornell University)

    Repository · 198 publications · 14K citations

    55

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 48 publications · 3.5K citations

    29

    h-index

  3. Pattern Recognition

    25 publications · 1.5K citations

    20

    h-index

  4. IEEE Transactions on Multimedia

    26 publications · 1.3K citations

    19

    h-index

  5. 19

    h-index

1–5