Investigating the Consistency of Uncertainty Sampling in Deep Active Learning

Niklas Penzel, Christian Reimers, Clemens-Alexander Brust, Joachim Denzler. Investigating the Consistency of Uncertainty Sampling in Deep Active Learning. In Christian Bauckhage, Juergen Gall, Alexander G. Schwing, editors, Pattern Recognition - 43rd DAGM German Conference, DAGM GCPR 2021, Bonn, Germany, September 28 - October 1, 2021, Proceedings. Volume 13024 of Lecture Notes in Computer Science, pages 159-173, Springer, 2021. [doi]

@inproceedings{PenzelRBD21,
  title = {Investigating the Consistency of Uncertainty Sampling in Deep Active Learning},
  author = {Niklas Penzel and Christian Reimers and Clemens-Alexander Brust and Joachim Denzler},
  year = {2021},
  doi = {10.1007/978-3-030-92659-5_10},
  url = {https://doi.org/10.1007/978-3-030-92659-5_10},
  researchr = {https://researchr.org/publication/PenzelRBD21},
  cites = {0},
  citedby = {0},
  pages = {159-173},
  booktitle = {Pattern Recognition - 43rd DAGM German Conference, DAGM GCPR 2021, Bonn, Germany, September 28 - October 1, 2021, Proceedings},
  editor = {Christian Bauckhage and Juergen Gall and Alexander G. Schwing},
  volume = {13024},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-92659-5},
}