Concepedia

Self-supervised Metric Learning

Self-Supervised Metric Learning is a metric learning paradigm that, belonging to the broader class of self-supervised learning methods, specifically learns discriminative distance functions over data by leveraging intrinsic supervisory signals derived from data augmentations or structural priors without requiring explicit human-annotated labels.

36

Publications

2K

Citations

180

Authors

57

Institutions

Publications per year

2017–2026

32

Parents

Publications

36

Time-Contrastive Networks: Self-Supervised Learning from Video

Pierre Sermanet, Corey Lynch, Yevgen Chebotar et al. · 2018 · 555 citations

, , +17

Robust and data-efficient generalization of self-supervised machine learning for diagnostic imaging

Shekoofeh Azizi, Laura Culp, Jan Freyberg et al. · Nature Biomedical Engineering · 2023 · 229 citations

, , +16

Bankruptcy analysis with self-organizing maps in learning metrics

Samuel Kaski, Janne Sinkkonen, Jaakko Peltonen · IEEE Transactions on Neural Networks · 2001 · 139 citations

, , +16

Translation between Molecules and Natural Language

Carl K. Edwards, Tuan Lai, Kevin Ros et al. · 2022 · 120 citations · Full text

, , +17

Self-supervised anomaly detection in computer vision and beyond: A survey and outlook

Hadi Hojjati, Thi Kieu Khanh Ho, Narges Armanfard · Neural Networks · 2024 · 82 citations

, , +13

1–5 of 36

Authors

180

  1. HX
    Hongtao Xie

    University of Science and Technology of China, China

    2 publications · 49 citations

    2

    h-index

  2. MH
    Munawar Hayat

    Monash University, Australia

    2 publications · 85 citations

    2

    h-index

  3. CL
    Corey Lynch

    Google (United States), United States

    2 publications · 608 citations

    2

    h-index

  4. CK
    Carl K. Edwards

    Amgen (United States), United States

    2 publications · 148 citations

    2

    h-index

  5. YZ
    Yongdong Zhang

    University of Science and Technology of China, China

    2 publications · 45 citations

    2

    h-index

1–5 of 180

Institutions

57

  1. University of Science and Technology of China

    Hefei, China

    3 h-index

    10 publications

    238 citations

  2. Chinese Academy of Sciences

    Beijing, China

    2 h-index

    3 publications

    111 citations

  3. University of Rochester

    Rochester, United States

    2 h-index

    4 publications

    137 citations

  4. McGill University

    Montreal, Canada

    2 h-index

    4 publications

    257 citations

  5. Shenyang Institute of Automation

    Shenyang, China

    2 h-index

    3 publications

    111 citations

  6. Google (United States)

    Mountain View, United States

    2 h-index

    38 publications

    10.7K citations

  7. University of Electronic Science and Technology of China

    Chengdu, China

    1 h-index

    1 publications

    31 citations

  8. Western University

    London, Canada

    1 h-index

    1 publications

    45 citations

1–8 of 57

Venues

  1. arXiv (Cornell University)

    Repository · 8 publications · 248 citations

    8

    h-index

  2. 3

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 2 publications · 54 citations

    2

    h-index

  4. 2022 26th International Conference on Pattern Recognition (ICPR)

    Conference · 1 publications · 44 citations

    1

    h-index

  5. Neural Networks

    1 publications · 82 citations

    1

    h-index

1–5