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Explore the evolving field of Neural Architecture Search (NAS) in this 58-minute lecture by Frank Hutter from the University of Freiburg. Discover efforts to build a scientific community around NAS, including benchmarks, best practices, and open-source frameworks. Delve into exciting directions for the field, such as speedup techniques, joint NAS and hyperparameter optimization in Auto-PyTorch for off-the-shelf AutoML, and the concept of neural ensemble search. Learn from Hutter's expertise as a Full Professor of Machine Learning and Chief Expert in AutoML, gaining insights into the latest developments in automated machine learning and neural architecture optimization.
