The Cells Out of Sample (COOS) dataset and benchmarks for measuring out-of-sample generalization of image classifiers

Alex X. Lu, Amy X. Lu, Wiebke Schormann, Marzyeh Ghassemi, David W. Andrews, Alan M. Moses. The Cells Out of Sample (COOS) dataset and benchmarks for measuring out-of-sample generalization of image classifiers. In Hanna M. Wallach, Hugo Larochelle, Alina Beygelzimer, Florence d'Alché-Buc, Edward A. Fox, Roman Garnett, editors, Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, 8-14 December 2019, Vancouver, BC, Canada. pages 1852-1860, 2019. [doi]

@inproceedings{LuLSGAM19,
  title = {The Cells Out of Sample (COOS) dataset and benchmarks for measuring out-of-sample generalization of image classifiers},
  author = {Alex X. Lu and Amy X. Lu and Wiebke Schormann and Marzyeh Ghassemi and David W. Andrews and Alan M. Moses},
  year = {2019},
  url = {http://papers.nips.cc/paper/8461-the-cells-out-of-sample-coos-dataset-and-benchmarks-for-measuring-out-of-sample-generalization-of-image-classifiers},
  researchr = {https://researchr.org/publication/LuLSGAM19},
  cites = {0},
  citedby = {0},
  pages = {1852-1860},
  booktitle = {Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, 8-14 December 2019, Vancouver, BC, Canada},
  editor = {Hanna M. Wallach and Hugo Larochelle and Alina Beygelzimer and Florence d'Alché-Buc and Edward A. Fox and Roman Garnett},
}