Recent trends in Automated Machine Learning (AutoML) (IN2107, IN4954)

Recent trends in Automated Machine Learning (AutoML) (IN2107, IN4954)

In the last couple of years artificial neural networks (ANN) achieved new state-of-the-art results in a multitude of research areas. Their data-driven training process usually only requires very little in-depth domain knowledge. However, a successful training demands experience and knowledge with respect to ANNs and their design as well as optimization, in other words, an expensive hyperparameter optimization. In a recent trend, research is conducted to facilitate and automate various aspects of this process. In particular, the automatization via Reinforcement Learning is becoming increasingly popular. To this end, we will introduce the most common state-of-the-art RL methods and discuss their application to a selection of modern AutoML papers:

General information

Thursdays (14:00-16:00) - Room 02.09.023

Lecturers: Prof. Dr. Laura Leal-Taixé and Tim Meinhardt.


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