Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety

no code implementations • 29 Apr 2021 • Sebastian Houben, Stephanie Abrecht, Maram Akila, Andreas Bär, Felix Brockherde, Patrick Feifel, Tim Fingscheidt, Sujan Sai Gannamaneni, Seyed Eghbal Ghobadi, Ahmed Hammam, Anselm Haselhoff, Felix Hauser, Christian Heinzemann, Marco Hoffmann, Nikhil Kapoor, Falk Kappel, Marvin Klingner, Jan Kronenberger, Fabian Küppers, Jonas Löhdefink, Michael Mlynarski, Michael Mock, Firas Mualla, Svetlana Pavlitskaya, Maximilian Poretschkin, Alexander Pohl, Varun Ravi-Kumar, Julia Rosenzweig, Matthias Rottmann, Stefan Rüping, Timo Sämann, Jan David Schneider, Elena Schulz, Gesina Schwalbe, Joachim Sicking, Toshika Srivastava, Serin Varghese, Michael Weber, Sebastian Wirkert, Tim Wirtz, Matthias Woehrle

Our paper addresses both machine learning experts and safety engineers: The former ones might profit from the broad range of machine learning topics covered and discussions on limitations of recent methods.

Autonomous Driving BIG-bench Machine Learning

Approaching Neural Network Uncertainty Realism

no code implementations • 8 Jan 2021 • Joachim Sicking, Alexander Kister, Matthias Fahrland, Stefan Eickeler, Fabian Hüger, Stefan Rüping, Peter Schlicht, Tim Wirtz

Statistical models are inherently uncertain.

Autonomous Vehicles

Aligning Subjective Ratings in Clinical Decision Making

no code implementations • 11 Sep 2020 • Annika Pick, Sebastian Ginzel, Stefan Rüping, Jil Sander, Ann Christina Foldenauer, Michaela Köhm

In addition to objective indicators (e. g. laboratory values), clinical data often contain subjective evaluations by experts (e. g. disease severity assessments).

Decision Making

Making Efficient Use of a Domain Expert's Time in Relation Extraction

no code implementations • 12 Jul 2018 • Linara Adilova, Sven Giesselbach, Stefan Rüping

In this paper, we report on an alternative approach where we first construct a relation extraction model using distant supervision, and only later make use of a domain expert to refine the results.

Active Learning Relation +1