ML Reproducibility challenge 2022
Reproduce results of state of the art machine learning papers from the last year as part of the official ML Reproducibility challenge.
We develop machine learning and deep learning architectures that are efficient and scalable, as well as algorithms necessary to make use of scalable models for continual learning. Co-hosted with the Sustainable Machine Learning group led by Dr. David Kappel.
The Institut für Neuroinformatik (INI) is a central research unit of the Ruhr-Universität Bochum. We aim to understand the fundamental principles through which organisms generate behavior and cognition while linked to their environments through sensory systems and while acting in those environments through effector systems. Inspired by our insights into such natural cognitive systems, we seek new solutions to problems of information processing in artificial cognitive systems. We draw from a variety of disciplines that include experimental approaches from psychology and neurophysiology as well as theoretical approaches from physics, mathematics, electrical engineering and applied computer science, in particular machine learning, artificial intelligence, and computer vision.
Universitätsstr. 150, Building NB, Room 3/32
D-44801 Bochum, Germany
Tel: (+49) 234 32-28967
Fax: (+49) 234 32-14210