Eirik Østmo / Torger Grytå

VI seminar 2021 #11 - Machine learning with imperfect labels

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Machine learning with imperfect labels

Presenter: Raul Santos Rodriguez, Turing AI Fellow and Associate Professor in Data Science and AI at the Department of Engineering Mathematics, University of Bristol

Abstract: The talk focus on how to adapt the machine learning pipeline to complex real-world situations that involve dealing with data with imperfect and weak labels. First, we describe a general approach to such problems, diving into specific applications. Then, we present an overview of techniques to derive explanations for predictions that we leverage to introduce strategies to measure and understand label quality.

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