Sequential Attention

Sequential Attention is a temporal attention mechanism that selectively processes elements in a sequence by assigning time-dependent relevance weights to past states, thereby enabling modeling of dynamic dependencies through ordered, step-wise focus.

165

Publications

14.2K

Citations

506

Authors

230

Institutions

Publications per year

2017–2026

103

Authors

506

  1. SW
    Steven W. Keele

    University of Oregon, United States

    5 publications · 1.5K citations

    5

    h-index

  2. DR
    David R. Shanks

    University College London, United Kingdom

    4 publications · 275 citations

    4

    h-index

  3. LJ
    Luis Jiménez

    Universidade de Santiago de Compostela, Spain

    4 publications · 416 citations

    4

    h-index

  4. ES
    Eric Soetens

    Vrije Universiteit Brussel, Belgium

    3 publications · 188 citations

    3

    h-index

  5. UM
    Ulrich Mayr

    University of Oregon, United States

    2 publications · 422 citations

    2

    h-index

1–5 of 506

Venues

  1. arXiv (Cornell University)

    Repository · 15 publications · 541 citations

    12

    h-index

  2. 11

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 5 publications · 718 citations

    5

    h-index

  4. 4

    h-index

  5. Psychological Research

    4 publications · 403 citations

    4

    h-index

1–5