Training Alignment

Training Alignment is a methodological framework within the field of plan maintenance that ensures the consistency and coherence of learned models with updated operational plans by systematically integrating new training data reflective of plan revisions.

3

Publications

3.7K

Citations

37

Authors

6

Institutions

Publications per year

2017–2026

2

Authors

37

  1. ZH
    Zac Hatfield-Dodds

    Australian National University, Australia

    1 publications · 368 citations

    1

    h-index

  2. SK
    Shauna Kravec

    University of California San Diego, United States

    1 publications · 368 citations

    1

    h-index

  3. BM
    Ben Mann

    1 publications · 368 citations

    1

    h-index

  4. DG
    Deep Ganguli

    Howard Hughes Medical Institute, United States

    1 publications · 368 citations

    1

    h-index

  5. CO
    Chris Olah

    OpenAI (United States), United States

    1 publications · 368 citations

    1

    h-index

1–5 of 37

Venues

  1. arXiv (Cornell University)

    Repository · 1 publications · 368 citations

    1

    h-index

  2. Molecular Biology and Evolution

    MBE · 1 publications · 3.3K citations

    1

    h-index

  3. Neurocomputing

    1 publications · 40 citations

    1

    h-index

  4. ACM Transactions on Software Engineering and Methodology

    TOSEM · 1 publications · 14 citations

  5. International Journal of Clinical Pharmacy

    1 publications · 11 citations

1–5