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Christoph Brune

2 accepted papers

2023

What do neural networks learn in image classification? A frequency shortcut perspective

ICCV 2023poster

Frequency analysis is useful for understanding the mechanisms of representation learning in neural networks (NNs). Most research in this area focuses on the learning dynamics of NNs for regression tasks, while little for classification. This study empirically investigates the latter and expands the…

Cited by 26PDFcodeScholar
2021

Low Dimensional State Representation Learning with Robotics Priors in Continuous Action Spaces

IROS 2021poster

Reinforcement learning algorithms have proven to be capable of solving complicated robotics tasks in an end-to-end fashion without any need for hand-crafted features or policies. Especially in the context of robotics, in which the cost of real-world data is usually extremely high, Reinforcement Lear…

Cited by 12SourceScholar