Hard Negative Mining

Hard Negative Mining is a passage retrieval technique that identifies and utilizes minimally incorrect or highly plausible negative examples to improve model discrimination by focusing on those instances most likely to be misclassified.

118

Publications

10.1K

Citations

440

Authors

162

Institutions

Publications per year

2017–2026

114

Authors

440

  1. WZ
    Wenzhao Zheng

    Tsinghua University, China

    4 publications · 220 citations

    4

    h-index

  2. JL
    Jiwen Lu

    Tsinghua University, China

    4 publications · 220 citations

    4

    h-index

  3. JZ
    Jie Zhou

    Tsinghua University, China

    4 publications · 220 citations

    4

    h-index

  4. HL
    Huangjing Lin

    Chinese University of Hong Kong, Hong Kong SAR China

    3 publications · 206 citations

    3

    h-index

  5. QD
    Qi Dou

    Chinese University of Hong Kong, Hong Kong SAR China

    3 publications · 206 citations

    3

    h-index

1–5 of 440

Venues

  1. arXiv (Cornell University)

    Repository · 17 publications · 1.1K citations

    14

    h-index

  2. IEEE Access

    4 publications · 153 citations

    4

    h-index

  3. IEEE Transactions on Image Processing

    3 publications · 329 citations

    3

    h-index

  4. Pattern Recognition

    3 publications · 184 citations

    3

    h-index

  5. IEEE Geoscience and Remote Sensing Letters

    GRSL · 2 publications · 119 citations

    2

    h-index

1–5