Using Set Learning to Improve Set-Valued Classifiers on Long-tailed Data

Kevin Kasa, Scott C. Lowe, Graham W. Taylor

Set-valued classification (SVC) offers a practical approach to communicating uncertainty while maintaining accuracy by predicting variable-sized sets per input rather than fixed-si…