Paul Hahn

According to our database1, Paul Hahn authored at least 8 papers between 2017 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
BoSS: A Best-of-Strategies Selector as an Oracle for Deep Active Learning.
CoRR, March, 2026

2025
Cleaning the Pool: Progressive Filtering of Unlabeled Pools in Deep Active Learning.
CoRR, November, 2025

Systematic Evaluation of Uncertainty Calibration in Pretrained Object Detectors.
Int. J. Comput. Vis., March, 2025

Efficient Bayesian Updates for Deep Active Learning via Laplace Approximations.
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.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

General Reusability: Ensuring Long-Term Benefits of Deep Active Learning.
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.
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.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2017, 2017


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