Paul Hahn

According to our database, Paul Hahn authored at least 6 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Systematic Evaluation of Uncertainty Calibration in Pretrained Object Detectors.

Denis Huseljic, Marek Herde, Paul Hahn, Mehmet Muejde, Bernhard Sick

Int. J. Comput. Vis., March, 2025

Efficient Bayesian Updates for Deep Active Learning via Laplace Approximations.

Denis Huseljic, Marek Herde, Lukas Rauch, Paul Hahn, Zhixin Huang, Daniel Kottke, Stephan Vogt, Bernhard Sick

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2025

2024

Fast Fishing: Approximating Bait for Efficient and Scalable Deep Active Image Classification.

Denis Huseljic, Paul Hahn, Marek Herde, Lukas Rauch, Bernhard Sick

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

General Reusability: Ensuring Long-Term Benefits of Deep Active Learning.

Paul Hahn, Denis Huseljic, Marek Herde, Bernhard Sick

Proceedings of the Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2024), 2024

2023

Role of Hyperparameters in Deep Active Learning.

Denis Huseljic, Marek Herde, Paul Hahn, Bernhard Sick

Proceedings of the Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2023), 2023

2017

Deep Reinforcement Learning in Serious Games: Analysis and Design of Deep Neural Network Architectures.

Aline Dobrovsky, Cezary W. Wilczak, Paul Hahn, Marko Hofmann, Uwe M. Borghoff

Proceedings of the Computer Aided Systems Theory - EUROCAST 2017, 2017