Curriculum Learning

Curriculum Learning is a machine learning training strategy that organizes data or tasks in a predetermined sequence of increasing complexity to improve model convergence and generalization by mimicking the pedagogical progression observed in human learning.

346

Publications

38.6K

Citations

1.3K

Authors

373

Institutions

Publications per year

2017–2026

302

Authors

1.3K

  1. SN
    Sanmit Narvekar

    The University of Texas at Austin, United States

    7 publications · 525 citations

    7

    h-index

  2. PS
    Peter Stone

    The University of Texas at Austin, United States

    6 publications · 551 citations

    6

    h-index

  3. PO
    Pierre‐Yves Oudeyer

    Institut national de recherche en sciences et technologies du numérique, France

    5 publications · 317 citations

    5

    h-index

  4. JS
    Jivko Sinapov

    Iowa State University, United States

    5 publications · 503 citations

    5

    h-index

  5. TZ
    Tianyi Zhou

    University of Technology Sydney, Australia

    4 publications · 191 citations

    4

    h-index

1–5 of 1.3K

Venues

  1. arXiv (Cornell University)

    Repository · 45 publications · 2.7K citations

    27

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 13 publications · 1.2K citations

    13

    h-index

  3. 5

    h-index

  4. IEEE Robotics and Automation Letters

    5 publications · 335 citations

    5

    h-index

  5. IEEE Access

    4 publications · 112 citations

    4

    h-index

1–5