Explore the challenges and solutions of learning from unreliable labels through crowdsourcing in this 1-hour 8-minute webinar presented by Panagiotis A. Traganitis (MSU) and Georgios B. Giannakis (UMN). Gain insights into the Data sciEnce on GrAphS (DEGAS) Webinar Series, organized in conjunction with the IEEE Signal Processing Society Data Science Initiative. Discover techniques for improving data quality and reliability in crowdsourced datasets, and learn how to leverage these methods to enhance machine learning models and algorithms.
Overview
Syllabus
Learning from Unreliable Labels via Crowdsourcing
Taught by
IEEE Signal Processing Society
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