Selective Prediction

Selective Prediction is a predictive modeling approach that, unlike conventional methods which issue predictions for all inputs, selectively refrains from predicting on uncertain or low-confidence instances, thereby improving overall accuracy at the cost of coverage.

21

Publications

563

Citations

88

Authors

32

Institutions

Publications per year

2017–2026

10

Variants

Classification With A Reject OptionReject Option Classification

Authors

88

  1. BL
    Balaji Lakshminarayanan

    Google (United States), United States

    2 publications · 61 citations

    2

    h-index

  2. SM
    Swaroop Mishra

    Arizona State University, United States

    2 publications · 44 citations

    2

    h-index

  3. NV
    Neeraj Varshney

    Indian Institute of Technology Kanpur, India

    2 publications · 44 citations

    2

    h-index

  4. CB
    Chitta Baral

    Arizona State University, United States

    2 publications · 44 citations

    2

    h-index

  5. JR
    Jie Ren

    Google (United States), United States

    2 publications · 61 citations

    2

    h-index

1–5 of 88

Venues

  1. arXiv (Cornell University)

    Repository · 3 publications · 112 citations

    3

    h-index

  2. 1

    h-index

  3. Emotion

    1 publications · 11 citations

    1

    h-index

  4. Journal of Mental Science

    1 publications · 26 citations

    1

    h-index

  5. Eastern-European Journal of Enterprise Technologies

    EEJET · 1 publications · 36 citations

    1

    h-index

1–5