Attention Pooling

Attention Pooling is an aggregation method that selectively combines input features by weighting their contributions according to learned attention scores, thereby emphasizing contextually relevant elements within a sequence.

138

Publications

10K

Citations

558

Authors

183

Institutions

Publications per year

2017–2026

127

Authors

558

  1. LD
    Li-Rong Dai

    University of Science and Technology of China, China

    4 publications · 394 citations

    4

    h-index

  2. FM
    Florian Metze

    Carnegie Mellon University, United States

    3 publications · 189 citations

    3

    h-index

  3. JD
    Jun Du

    University of Science and Technology of China, China

    3 publications · 208 citations

    3

    h-index

  4. HG
    Hongyang Gao

    Texas A&M University, United States

    3 publications · 537 citations

    3

    h-index

  5. SX
    Shuangjie Xu

    Huazhong University of Science and Technology, China

    3 publications · 434 citations

    3

    h-index

1–5 of 558

Venues

  1. arXiv (Cornell University)

    Repository · 24 publications · 1.2K citations

    18

    h-index

  2. Remote Sensing

    7 publications · 144 citations

    7

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 6 publications · 411 citations

    6

    h-index

  4. 4

    h-index

  5. IEEE Geoscience and Remote Sensing Letters

    GRSL · 3 publications · 127 citations

    3

    h-index

1–5