Curriculum Scheduling

Curriculum Scheduling is a machine learning strategy that systematically organizes the presentation of training examples or tasks in increasing order of complexity to enhance model convergence and generalization.

57

Publications

1.9K

Citations

153

Authors

76

Institutions

Publications per year

2017–2026

23

Authors

153

  1. AS
    Andrea Schaerf

    University of Udine, Italy

    3 publications · 138 citations

    3

    h-index

  2. KI
    Katsumi Inoue

    National Institute of Informatics, Japan

    2 publications · 59 citations

    2

    h-index

  3. RV
    René Vidal

    Johns Hopkins University, United States

    2 publications · 103 citations

    2

    h-index

  4. RV
    Riccardo Volpi

    Italian Institute of Technology, Italy

    2 publications · 103 citations

    2

    h-index

  5. JF
    Jairo Francisco de Souza

    Universidade Federal de Juiz de Fora, Brazil

    2 publications · 45 citations

    2

    h-index

1–5 of 153

Venues

  1. Annals of Operations Research

    8 publications · 410 citations

    8

    h-index

  2. Computers & Operations Research

    4 publications · 98 citations

    4

    h-index

  3. INFORMS Journal on Applied Analytics

    3 publications · 61 citations

    3

    h-index

  4. European Journal of Operational Research

    2 publications · 64 citations

    2

    h-index

  5. Journal of Scheduling

    JOS · 2 publications · 50 citations

    2

    h-index

1–5