Teacher-student Learning

Teacher-Student Learning is a self-supervised learning framework in which a teacher model guides the training of a student model by providing target representations or predictions, differing from other frameworks by leveraging a mentor-assistant dynamic to transfer knowledge without explicit human-labeled supervision.

912

Publications

60.1K

Citations

2.4K

Authors

803

Institutions

Publications per year

2017–2026

429

Authors

2.4K

  1. JL
    Jinyu Li

    Microsoft (United States), United States

    7 publications · 346 citations

    7

    h-index

  2. JK
    Joseph Krajcik

    University of Michigan, United States

    6 publications · 1.8K citations

    6

    h-index

  3. RC
    Robert C. Pianta

    University of Virginia, United States

    6 publications · 1.5K citations

    6

    h-index

  4. XW
    Xinchao Wang

    National University of Singapore, Singapore

    5 publications · 159 citations

    5

    h-index

  5. ZM
    Zhong Meng

    Microsoft (United States), United States

    5 publications · 292 citations

    5

    h-index

1–5 of 2.4K

Venues

  1. arXiv (Cornell University)

    Repository · 49 publications · 1.8K citations

    23

    h-index

  2. Journal of Teacher Education

    JTE · 15 publications · 2.4K citations

    15

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 10 publications · 328 citations

    10

    h-index

  4. Teachers and Teaching

    10 publications · 480 citations

    10

    h-index

  5. International Journal for Lesson and Learning Studies

    IJLLS · 10 publications · 329 citations

    10

    h-index

1–5