A survey on self-supervised representation learning T Uelwer, J Robine, SS Wagner, M Höftmann, E Upschulte, S Konietzny, ... arXiv preprint arXiv:2308.11455, 2023 | 2 | 2023 |
SQBC: Active Learning using LLM-Generated Synthetic Data for Stance Detection in Online Political Discussions SS Wagner, M Behrendt, M Ziegele, S Harmeling arXiv preprint arXiv:2404.08078, 2024 | | 2024 |
AQuA--Combining Experts' and Non-Experts' Views To Assess Deliberation Quality in Online Discussions Using LLMs M Behrendt, SS Wagner, M Ziegele, L Wilms, A Stoll, D Heinbach, ... arXiv preprint arXiv:2404.02761, 2024 | | 2024 |
Just Cluster It: An Approach for Exploration in High-Dimensions using Clustering and Pre-Trained Representations SS Wagner, S Harmeling arXiv preprint arXiv:2402.03138, 2024 | | 2024 |
Cyclophobic Reinforcement Learning SS Wagner, P Arndt, J Robine, S Harmeling Transactions on Machine Learning Research (TMLR), 2023 | | 2023 |
Learning to Plan via a Multi-step Policy Regression Method S Wagner, M Janschek, T Uelwer, S Harmeling Artificial Neural Networks and Machine Learning–ICANN 2021: 30th …, 2021 | | 2021 |
Entwicklung eines Reinforcement Learning basierten Flugzeugautopiloten unter der Verwendung von Deterministic Policy Gradients SS Wagner Hochschule für angewandte Wissenschaften Hamburg, 2018 | | 2018 |