Description
The AutoML Conference 2026 is an international gathering dedicated to the advancements and applications of automated machine learning. Scheduled from September 28 to October 1, 2026, this event will be hosted at the Faculty of Computer and Information Science at the University of Ljubljana, Slovenia. The conference aims to bring together researchers, practitioners, and industry leaders to discuss the latest developments in the field of AutoML.
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Attendees can expect a rich program featuring keynote presentations from prominent figures in the field. Notable speakers include Jure Leskovec from Stanford University, who will discuss 'Beyond the Table: Relational Foundation Models as the New Frontier of AutoML.' Other keynotes will be delivered by Carola Doerr from CNRS – Sorbonne Université, Steven Jiang from HireEZ AI, Niki van Stein from Leiden University, and Alex Vitvitskyi from Google DeepMind, covering various innovative topics related to AutoML.
The conference will also provide opportunities for networking, collaboration, and knowledge exchange among participants. With a focus on both theoretical and practical aspects of automated machine learning, the event is designed for a diverse audience, including researchers, data scientists, and industry professionals. The AutoML Conference 2026 promises to be a significant event for anyone interested in the future of machine learning and its applications in various domains.
For more information, interested parties can reach out to the program chairs at [email protected]. This conference not only aims to showcase cutting-edge research but also to foster discussions that can lead to new collaborations and advancements in the field of automated machine learning.
- CategoryOther AI Tools
Highlights
Keynote presentations
Networking opportunities
Research discussions
Industry insights
International participation
Diverse audience
Practical applications
Theoretical advancements
Who Should Attend
- Research collaboration
- Industry networking
- Knowledge sharing
- Skill enhancement
- Innovation discussions
