ActiveGLAE: A Benchmark for Deep Active Learning with Transformers

Cite

Text

Rauch et al. "ActiveGLAE: A Benchmark for Deep Active Learning with Transformers." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023. doi:10.1007/978-3-031-43412-9_4

Markdown

[Rauch et al. "ActiveGLAE: A Benchmark for Deep Active Learning with Transformers." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023.](https://mlanthology.org/ecmlpkdd/2023/rauch2023ecmlpkdd-activeglae/) doi:10.1007/978-3-031-43412-9_4

BibTeX

@inproceedings{rauch2023ecmlpkdd-activeglae,
  title     = {{ActiveGLAE: A Benchmark for Deep Active Learning with Transformers}},
  author    = {Rauch, Lukas and Aßenmacher, Matthias and Huseljic, Denis and Wirth, Moritz and Bischl, Bernd and Sick, Bernhard},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2023},
  pages     = {55-74},
  doi       = {10.1007/978-3-031-43412-9_4},
  url       = {https://mlanthology.org/ecmlpkdd/2023/rauch2023ecmlpkdd-activeglae/}
}