Stefan Sylvius Wagner

According to our database, Stefan Sylvius Wagner authored at least 12 papers between 2021 and 2025.

Collaborative distances:

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

2025

Natural Language Processing to Enhance Deliberation in Political Online Discussions: A Survey.

Maike Behrendt, Stefan Sylvius Wagner, Carina Weinmann, Marike Bormann, Mira Warne, Stefan Harmeling

CoRR, June, 2025

MaxPoolBERT: Enhancing BERT Classification via Layer- and Token-Wise Aggregation.

Maike Behrendt, Stefan Sylvius Wagner, Stefan Harmeling

CoRR, May, 2025

A survey on self-supervised methods for visual representation learning.

Tobias Uelwer, Jan Robine, Stefan Sylvius Wagner, Marc Höftmann, Eric Upschulte, Sebastian Konietzny, Maike Behrendt, Stefan Harmeling

Mach. Learn., April, 2025

Object-Aware DINO (Oh-A-Dino): Enhancing Self-Supervised Representations for Multi-Object Instance Retrieval.

Stefan Sylvius Wagner, Stefan Harmeling

CoRR, March, 2025

The Power of LLM-Generated Synthetic Data for Stance Detection in Online Political Discussions.

Stefan Sylvius Wagner, Maike Behrendt, Marc Ziegele, Stefan Harmeling

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Supporting Online Discussions: Integrating AI Into the adhocracy+ Participation Platform To Enhance Deliberation.

Maike Behrendt, Stefan Sylvius Wagner, Stefan Harmeling

CoRR, 2024

SQBC: Active Learning using LLM-Generated Synthetic Data for Stance Detection in Online Political Discussions.

Stefan Sylvius Wagner, Maike Behrendt, Marc Ziegele, Stefan Harmeling

CoRR, 2024

AQuA - Combining Experts' and Non-Experts' Views To Assess Deliberation Quality in Online Discussions Using LLMs.

Maike Behrendt, Stefan Sylvius Wagner, Marc Ziegele, Lena Wilms, Anke Stoll, Dominique Heinbach, Stefan Harmeling

CoRR, 2024

Just Cluster It: An Approach for Exploration in High-Dimensions using Clustering and Pre-Trained Representations.

Stefan Sylvius Wagner, Stefan Harmeling

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Cyclophobic Reinforcement Learning.

Stefan Sylvius Wagner, Peter Arndt, Jan Robine, Stefan Harmeling

Trans. Mach. Learn. Res., 2023

A Survey on Self-Supervised Representation Learning.

Tobias Uelwer, Jan Robine, Stefan Sylvius Wagner, Marc Höftmann, Eric Upschulte, Sebastian Konietzny, Maike Behrendt, Stefan Harmeling

CoRR, 2023

2021

Learning to Plan via a Multi-step Policy Regression Method.

Stefan Wagner, Michael Janschek, Tobias Uelwer, Stefan Harmeling

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021