Concepedia

Lime Explanations

LIME Explanations is a model-agnostic interpretability method that approximates the behavior of a complex machine learning model locally around a specific prediction by fitting an interpretable surrogate model to perturbed instances of the input.

125

Publications

13.3K

Citations

401

Authors

186

Institutions

Publications per year

2017–2026

121

Parents

Publications

125

“Why Should I Trust You?”: Explaining the Predictions of Any Classifier

Marco Ribeiro, Sameer Singh, Carlos Guestrin · 2016 · 5.2K citations · Full text

, , +16

Fooling LIME and SHAP

Dylan Slack, Sophie Hilgard, Emily Jia et al. · Proceedings of the AAAI/ACM Conference on AI Ethics and Society · 2020 · 769 citations · Full text

, , +16

Model-Agnostic Interpretability of Machine Learning

Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin · arXiv (Cornell University) · 2016 · 699 citations · Full text

, , +13

A Perspective on Explainable Artificial Intelligence Methods: SHAP and LIME

Ahmed Salih, Zahra Raisi‐Estabragh, Ilaria Boscolo Galazzo et al. · Advanced Intelligent Systems · 2024 · 645 citations · Full text

, , +14

"Why Should I Trust You?": Explaining the Predictions of Any Classifier

Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin · arXiv (Cornell University) · 2016 · 347 citations · Full text

, , +16

1–5 of 125

Authors

401

  1. SS
    Sameer Singh

    University of California, Irvine, United States

    10 publications · 7.3K citations

    10

    h-index

  2. HL
    Himabindu Lakkaraju

    Harvard University Press, United States

    7 publications · 1K citations

    7

    h-index

  3. SH
    Sophie Hilgard

    Harvard University Press, United States

    5 publications · 1K citations

    5

    h-index

  4. DS
    Dylan Slack

    University of California, Irvine, United States

    5 publications · 1K citations

    5

    h-index

  5. CG
    Carlos Guestrin

    Carnegie Mellon University, United States

    4 publications · 6.3K citations

    4

    h-index

1–5 of 401

Institutions

186

  1. Harvard University Press

    Cambridge, United States

    5 h-index

    13 publications

    3K citations

  2. University of Washington

    Seattle, United States

    4 h-index

    10 publications

    16.8K citations

  3. University of California, Irvine

    Irvine, United States

    3 h-index

    6 publications

    1.9K citations

  4. Microsoft Research (United Kingdom)

    Cambridge, United Kingdom

    3 h-index

    6 publications

    1.4K citations

  5. University of Leicester

    Leicester, United Kingdom

    2 h-index

    8 publications

    757 citations

  6. University of North Carolina at Chapel Hill

    Chapel Hill, United States

    2 h-index

    4 publications

    500 citations

  7. Barts Health NHS Trust

    London, United Kingdom

    2 h-index

    10 publications

    2K citations

  8. University of Tübingen

    Tübingen, Germany

    2 h-index

    2 publications

    61 citations

1–8 of 186

Venues

  1. arXiv (Cornell University)

    Repository · 38 publications · 2.6K citations

    21

    h-index

  2. IEEE Access

    7 publications · 571 citations

    7

    h-index

  3. Diagnostics

    2 publications · 262 citations

    2

    h-index

  4. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 2 publications · 29 citations

    2

    h-index

  5. Information

    2 publications · 46 citations

    2

    h-index

1–5