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Christopher Schröder 0001
Person information
- affiliation: Institute for Applied Computer Science (InfAI), Leipzig, Germany
- affiliation: Leipzig University, Germany
Other persons with the same name
- Christopher Schröder 0002 — University Hospital Essen, Institute of Human Genetics, Essen, Germany (and 1 more)
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2020 – today
- 2024
- [i8]Christopher Schröder, Gerhard Heyer:
Self-Training for Sample-Efficient Active Learning for Text Classification with Pre-Trained Language Models. CoRR abs/2406.09206 (2024) - 2023
- [c6]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: 12113-12134 - [c5]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: 172-186 - [c4]Christopher Schröder, Lydia Müller, Andreas Niekler, Martin Potthast:
Small-Text: Active Learning for Text Classification in Python. EACL (System Demonstrations) 2023: 84-95 - [c3]Magdalena Wolska, Matti Wiegmann, Christopher Schröder, Ole Borchardt, Benno Stein, Martin Potthast:
Trigger Warnings: Bootstrapping a Violence Detector for Fan Fiction. EMNLP (Findings) 2023: 569-576 - [d10]Christopher Schröder, Lydia Müller, Andreas Niekler, Martin Potthast:
Small-Text: Active Learning for Text Classification in Python. Version 1.2.0. Zenodo, 2023 [all versions] - [d9]Christopher Schröder, Lydia Müller, Andreas Niekler, Martin Potthast:
Small-Text: Active Learning for Text Classification in Python. Version 1.3.0. Zenodo, 2023 [all versions] - [d8]Christopher Schröder, Lydia Müller, Andreas Niekler, Martin Potthast:
Small-Text: Active Learning for Text Classification in Python. Version 1.3.1. Zenodo, 2023 [all versions] - [d7]Christopher Schröder, Lydia Müller, Andreas Niekler, Martin Potthast:
Small-Text: Active Learning for Text Classification in Python. Version 1.3.2. Zenodo, 2023 [all versions] - [d6]Christopher Schröder, Lydia Müller, Andreas Niekler, Martin Potthast:
Small-Text: Active Learning for Text Classification in Python. Version 1.3.3. Zenodo, 2023 [all versions] - [d5]Magdalena Wolska, Matti Wiegmann, Christopher Schröder, Ole Borchardt, Benno Stein, Martin Potthast:
EMNLP-23-Bootstrapping-a-Violence-Detector-for-Fan-Fiction. Zenodo, 2023 - 2022
- [c2]Christopher Schröder, Andreas Niekler, Martin Potthast:
Revisiting Uncertainty-based Query Strategies for Active Learning with Transformers. ACL (Findings) 2022: 2194-2203 - [d4]Christopher Schröder, Lydia Müller, Andreas Niekler, Martin Potthast:
Small-Text: Active Learning for Text Classification in Python. Version 1.0.0. Zenodo, 2022 [all versions] - [d3]Christopher Schröder, Lydia Müller, Andreas Niekler, Martin Potthast:
Small-Text: Active Learning for Text Classification in Python. Version 1.0.1. Zenodo, 2022 [all versions] - [d2]Christopher Schröder, Lydia Müller, Andreas Niekler, Martin Potthast:
Small-Text: Active Learning for Text Classification in Python. Version 1.1.0. Zenodo, 2022 [all versions] - [d1]Christopher Schröder, Lydia Müller, Andreas Niekler, Martin Potthast:
Small-Text: Active Learning for Text Classification in Python. Version 1.1.1. Zenodo, 2022 [all versions] - [i7]Magdalena Wolska, Christopher Schröder, Ole Borchardt, Benno Stein, Martin Potthast:
Trigger Warnings: Bootstrapping a Violence Detector for FanFiction. CoRR abs/2209.04409 (2022) - [i6]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 abs/2212.07476 (2022) - 2021
- [c1]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: 4141-4152 - [i5]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 abs/2105.05557 (2021) - [i4]Christopher Schröder, Andreas Niekler, Martin Potthast:
Uncertainty-based Query Strategies for Active Learning with Transformers. CoRR abs/2107.05687 (2021) - [i3]Christopher Schröder, Lydia Müller, Andreas Niekler, Martin Potthast:
Small-text: Active Learning for Text Classification in Python. CoRR abs/2107.10314 (2021) - [i2]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 abs/2111.10864 (2021) - 2020
- [i1]Christopher Schröder, Andreas Niekler:
A Survey of Active Learning for Text Classification using Deep Neural Networks. CoRR abs/2008.07267 (2020)
Coauthor Index
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