Concepedia

Expected Calibration Error

Expected Calibration Error is a calibration metric that quantifies the expected absolute difference between predicted probabilities and the corresponding true accuracy across all prediction bins in a probabilistic classification model.

9

Publications

224

Citations

29

Authors

13

Institutions

Publications per year

2017–2026

9

Parents

Publications

9

A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibration

Ramya Hebbalaguppe, Neelabh Madan, Chetan Arora · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · 2022 · 38 citations

, , +16

Uncertainty Quantification and Deep Ensembles

Rahul Rahaman, Alexandre H. Thiéry · arXiv (Cornell University) · 2020 · 31 citations · Full text

, , +17

Improved Trainable Calibration Method for Neural Networks on Medical Imaging Classification

Gongbo Liang, Yu Zhang, Xiaoqin Wang et al. · arXiv (Cornell University) · 2020 · 29 citations · Full text

, , +17

Uncertainty-Aware Panoptic Segmentation

Kshitij Sirohi, Sajad Marvi, D. Büscher et al. · IEEE Robotics and Automation Letters · 2023 · 28 citations

, , +16

Calibration tests in multi-class classification: A unifying framework

David Widmann, Fredrik Lindsten, Dave Zachariah · arXiv (Cornell University) · 2019 · 27 citations · Full text

, , +16

1–5 of 9

Authors

29

  1. YG
    Yunye Gong

    Cornell University, United States

    1 publications · 25 citations

    1

    h-index

  2. WB
    Wolfram Burgard

    University of Freiburg, Germany

    1 publications · 28 citations

    1

    h-index

  3. NJ
    Nathan Jacobs

    University of Kentucky, United States

    1 publications · 29 citations

    1

    h-index

  4. CK
    Christopher Kanan

    Rochester Institute of Technology, United States

    1 publications · 11 citations

    1

    h-index

  5. YY
    Yi Yao

    University of Tennessee at Knoxville, United States

    1 publications · 25 citations

    1

    h-index

1–5 of 29

Institutions

13

  1. University of Technology Nuremberg

    Nuremberg, Germany

    1 h-index

    1 publications

    28 citations

  2. Lawrence Livermore National Laboratory

    Livermore, United States

    1 h-index

    1 publications

    18 citations

  3. University of Kentucky

    Lexington, United States

    1 h-index

    1 publications

    29 citations

  4. Hanyang University

    Seoul, South Korea

    1 h-index

    3 publications

    51 citations

  5. University of Freiburg

    Freiburg im Breisgau, Germany

    1 h-index

    3 publications

    84 citations

  6. Tata Consultancy Services (India)

    Pune, India

    1 h-index

    1 publications

    38 citations

  7. National University of Singapore

    Singapore, Singapore

    1 h-index

    2 publications

    62 citations

  8. Oregon State University

    Corvallis, United States

    1 h-index

    1 publications

    25 citations

1–8 of 13

Venues

  1. arXiv (Cornell University)

    Repository · 5 publications · 116 citations

    5

    h-index

  2. 2020 IEEE Conference on Games (CoG)

    Conference · 1 publications · 17 citations

    1

    h-index

  3. IEEE Robotics and Automation Letters

    1 publications · 28 citations

    1

    h-index

  4. 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

    Conference · 1 publications · 25 citations

    1

    h-index

  5. 1

    h-index

1–5