Date: 2026-09-28 to 2026-10-01
Location: Ljubljana, Slovenia
Type: Conference
Website: 2026.automl.cc
What Is AutoML 2026?
AutoML 2026, the International Conference on Automated Machine Learning, is the premier gathering dedicated to the science and engineering of automating the machine learning pipeline. Scheduled for September 28 through October 1, 2026, the conference will be hosted at the University of Ljubljana in Slovenia, bringing together the world’s leading researchers, engineers, and practitioners who are shaping the future of automated ML.
Organized by the AutoML community, this annual event serves as the central forum for presenting cutting-edge research and practical advances in automated machine learning. The conference covers the full spectrum of AutoML topics, from foundational methods in neural architecture search and hyperparameter optimization to emerging frontiers such as AutoML for large language models and agentic AutoML systems. For AI professionals, AutoML 2026 represents a critical opportunity to understand how automation is transforming model development, reducing manual effort, and democratizing access to advanced machine learning capabilities.
Why It Matters for AI Professionals
As machine learning models grow in complexity, the ability to automate model selection, architecture design, and hyperparameter tuning has become a strategic advantage for organizations of all sizes. AutoML 2026 addresses this need directly, offering attendees a deep dive into the latest methodologies that can accelerate model development cycles and improve model performance without requiring exhaustive manual experimentation.
For AI professionals, attending AutoML 2026 provides actionable insights into how automated approaches are being applied to real-world problems, including the optimization of large language models and the development of autonomous agentic systems. The conference bridges the gap between academic research and industrial application, making it a valuable destination for anyone involved in building, deploying, or managing machine learning systems at scale.
What to Expect
AutoML 2026 will feature a comprehensive program designed to cover the full breadth of automated machine learning. Key themes and tracks include:
- Neural Architecture Search (NAS): Advances in efficient and scalable methods for discovering optimal neural network architectures.
- Hyperparameter Optimization: New techniques for tuning model parameters with reduced computational cost and improved reliability.
- AutoML for LLMs: Specialized approaches for automating the fine-tuning, prompt engineering, and deployment of large language models.
- Agentic AutoML: Emerging research on autonomous systems that can plan, execute, and adapt machine learning workflows without human intervention.
The conference will include keynote presentations from leading researchers in the field, as well as paper sessions, workshops, and poster presentations. Specific keynote speakers and the full schedule are to be announced on the official website.
Who Should Attend
AutoML 2026 is designed for a diverse audience of AI professionals. Researchers and academics working in automated machine learning, neural architecture search, and hyperparameter optimization will find the latest theoretical and experimental results. Data scientists and ML engineers seeking to integrate AutoML tools into their production workflows will benefit from practical talks and case studies. Additionally, technical leaders and decision-makers interested in understanding how automation can reduce operational overhead and accelerate AI initiatives will gain strategic insights from the conference’s industrial tracks and keynote sessions.
How to Register
Registration details for AutoML 2026, including pricing tiers and deadlines, are to be announced. For the most current information and to secure your place at the conference, visit the official website at 2026.automl.cc. Early registration is typically available at a reduced rate, so checking the site regularly is recommended.
