Research Connect

TL;DR

This survey aims to provide an overview on machine learning with rejection, and introduces the conditions leading to two types of rejection, ambiguity and novelty rejection, which are carefully formalized.

Abstract

Authors

Kilian Hendrickx

1 Paper

Lorenzo Perini

1 Paper

Dries Van der Plas

1 Paper

Wannes Meert

1 Paper

Jesse Davis

1 Paper

TL;DR

Abstract

Authors

References276 items

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