Concepedia

Covariate Shift

Covariate Shift is a type of distributional shift in machine learning wherein the input data distribution changes between training and testing phases while the conditional distribution of outputs given inputs remains invariant.

201

Publications

79K

Citations

612

Authors

230

Institutions

Publications per year

2017–2026

126

Parents

Publications

201

Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

Sergey Ioffe, Christian Szegedy · arXiv (Cornell University) · 2015 · 24.4K citations · Full text

, , +15

A Survey on Transfer Learning

Sinno Jialin Pan, Qiang Yang · IEEE Transactions on Knowledge and Data Engineering · 2009 · 23.2K citations

, , +12

Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

Sergey Ioffe · arXiv (Cornell University) · 2024 · 15.7K citations · Full text

, , +15

Improving predictive inference under covariate shift by weighting the log-likelihood function

Hidetoshi Shimodaira · Journal of Statistical Planning and Inference · 2000 · 1.7K citations

, , +12

A unifying view on dataset shift in classification

Jose G. Moreno-Torres, Troy Raeder, Rocío Aláiz-Rodríguez et al. · Pattern Recognition · 2011 · 962 citations

, , +14

1–5 of 201

Authors

612

  1. MS
    Masashi Sugiyama

    Tokyo Institute of Technology, Japan

    14 publications · 2.8K citations

    12

    h-index

  2. HR
    Haider Raza

    University of Ulster, United Kingdom

    8 publications · 473 citations

    8

    h-index

  3. GP
    Girijesh Prasad

    University of Ulster, United Kingdom

    8 publications · 504 citations

    8

    h-index

  4. BS
    Bernhard Schölkopf

    Max Planck Institute for Intelligent Systems, Germany

    5 publications · 519 citations

    5

    h-index

  5. QY
    Qiang Yang

    Hong Kong University of Science and Technology, Hong Kong SAR China

    5 publications · 23.4K citations

    5

    h-index

1–5 of 612

Institutions

230

  1. Tokyo Institute of Technology

    Tokyo, Japan

    11 h-index

    20 publications

    3K citations

  2. Carnegie Mellon University

    Pittsburgh, United States

    10 h-index

    18 publications

    1.1K citations

  3. University of Ulster

    Coleraine, United Kingdom

    9 h-index

    22 publications

    1.3K citations

  4. Stanford University

    Stanford, United States

    8 h-index

    14 publications

    418 citations

  5. Nanyang Technological University

    Singapore, Singapore

    7 h-index

    12 publications

    648 citations

  6. University of Cambridge

    Cambridge, United Kingdom

    6 h-index

    11 publications

    350 citations

  7. Max Planck Institute for Intelligent Systems

    Stuttgart, Germany

    5 h-index

    15 publications

    2.6K citations

  8. Hong Kong University of Science and Technology

    Hong Kong, Hong Kong

    5 h-index

    8 publications

    46.7K citations

1–8 of 230

Venues

  1. arXiv (Cornell University)

    Repository · 42 publications · 41.9K citations

    21

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 5 publications · 126 citations

    6

    h-index

  3. Journal of Machine Learning Research

    JMLR · 4 publications · 543 citations

    4

    h-index

  4. 3

    h-index

  5. Pattern Recognition

    2 publications · 1.1K citations

    2

    h-index

1–5