Christopher Schröder

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 17

Top Topics

Active Learning

Top Venues

Publications

Christopher Schröder, Lydia Müller, Andreas Niekler, Martin Potthast
Small-Text: Active Learning for Text Classification in Python. EACL (System Demonstrations) (2023)
Matti Wiegmann, Magdalena Wolska, Christopher Schröder, Ole Borchardt, Benno Stein, Martin Potthast
Trigger Warning Assignment as a Multi-Label Document Classification Problem. ACL (1) (2023)
Niklas Deckers, Maik Fröbe, Johannes Kiesel, Gianluca Pandolfo, Christopher Schröder, Benno Stein, Martin Potthast
The Infinite Index: Information Retrieval on Generative Text-To-Image Models. CHIIR (2023)
Magdalena Wolska, Christopher Schröder, Ole Borchardt, Benno Stein, Martin Potthast
Trigger Warnings: Bootstrapping a Violence Detector for FanFiction. CoRR (2022)
Niklas Deckers, Maik Fröbe, Johannes Kiesel, Gianluca Pandolfo, Christopher Schröder, Benno Stein, Martin Potthast
The Infinite Index: Information Retrieval on Generative Text-To-Image Models. CoRR (2022)
Christopher Schröder, Andreas Niekler, Martin Potthast
Revisiting Uncertainty-based Query Strategies for Active Learning with Transformers. ACL (Findings) (2022)
Christopher Schröder, Lydia Müller, Andreas Niekler, Martin Potthast
Small-text: Active Learning for Text Classification in Python. CoRR (2021)
Christopher Schröder, Kim Bürgl, Yves Annanias, Andreas Niekler, Lydia Müller, Daniel Wiegreffe, Christian Bender, Christoph Mengs, Gerik Scheuermann, Gerhard Heyer
Supporting Land Reuse of Former Open Pit Mining Sites using Text Classification and Active Learning. ACL/IJCNLP (1) (2021)
Christopher Schröder, Andreas Niekler, Martin Potthast
Uncertainty-based Query Strategies for Active Learning with Transformers. CoRR (2021)
Christopher Schröder, Kim Bürgl, Yves Annanias, Andreas Niekler, Lydia Müller, Daniel Wiegreffe, Christian Bender, Christoph Mengs, Gerik Scheuermann, Gerhard Heyer
Mining Legacy Issues in Open Pit Mining Sites: Innovation & Support of Renaturalization and Land Utilization. CoRR (2021)
Maik Fröbe, Matthias Hagen, Janek Bevendorff, Michael Völske, Benno Stein, Christopher Schröder, Robby Wagner, Lukas Gienapp, Martin Potthast
The Impact of Main Content Extraction on Near-Duplicate Detection. CoRR (2021)
Marius Wöste, Elsa Leitão, Sandra Laurentino, Bernhard Horsthemke, Sven Rahmann, Christopher Schröder
wg-blimp: an end-to-end analysis pipeline for whole genome bisulfite sequencing data. BMC Bioinform. 21 (1) (2020)
Christopher Schröder, Andreas Niekler
A Survey of Active Learning for Text Classification using Deep Neural Networks. CoRR (2020)
Christopher Schröder, Sven Rahmann
A hybrid parameter estimation algorithm for beta mixtures and applications to methylation state classification. Algorithms Mol. Biol. 12 (1) (2017)
Christopher Schröder, Sven Rahmann
A Hybrid Parameter Estimation Algorithm for Beta Mixtures and Applications to Methylation State Classification. WABI (2016)
Christopher Schröder, Sven Rahmann
Efficient duplicate rate estimation from subsamples of sequencing libraries. PeerJ Prepr. 3 (2015)
Nina Hesse, Christopher Schröder, Sven Rahmann
An optimization approach to detect differentially methylated regions from Whole Genome Bisulfite Sequencing data. PeerJ Prepr. 3 (2015)