| 2026 | EACL | Reassessing Active Learning Adoption in Contemporary NLP: A Community Survey. | Julia Romberg, Christopher Schrder, Julius Gonsior, Katrin Tomanek, Fredrik Olsson |
| 2024 | EMNLP | Self-Training for Sample-Efficient Active Learning for Text Classification with Pre-Trained Language Models. | Christopher Schrder, Gerhard Heyer |
| 2023 | ACL | Trigger Warning Assignment as a Multi-Label Document Classification Problem. | Matti Wiegmann, Magdalena Wolska, Christopher Schrder, Ole Borchardt, Benno Stein, Martin Potthast |
| 2023 | CHIIR | The Infinite Index: Information Retrieval on Generative Text-To-Image Models. | Niklas Deckers, Maik Frbe, Johannes Kiesel, Gianluca Pandolfo, Christopher Schrder, Benno Stein, Martin Potthast |
| 2023 | EACL | Small-Text: Active Learning for Text Classification in Python. | Christopher Schrder, Lydia Mller, Andreas Niekler, Martin Potthast |
| 2023 | EMNLP | Trigger Warnings: Bootstrapping a Violence Detector for Fan Fiction. | Magdalena Wolska, Matti Wiegmann, Christopher Schrder, Ole Borchardt, Benno Stein, Martin Potthast |
| 2022 | ACL | Revisiting Uncertainty-based Query Strategies for Active Learning with Transformers. | Christopher Schrder, Andreas Niekler, Martin Potthast |
| 2021 | ACL | Supporting Land Reuse of Former Open Pit Mining Sites using Text Classification and Active Learning. | Christopher Schrder, Kim Brgl, Yves Annanias, Andreas Niekler, Lydia Mller, Daniel Wiegreffe, Christian Bender, Christoph Mengs, Gerik Scheuermann, Gerhard Heyer |
| 2016 | WABI | A Hybrid Parameter Estimation Algorithm for Beta Mixtures and Applications to Methylation State Classification. | Christopher Schrder, Sven Rahmann |