@inproceedings{delbrouck-2021-minivqa,
    title = "{M}ini{VQA} - A resource to build your tailored {VQA} competition",
    author = "Delbrouck, Jean-Benoit",
    editor = "Jurgens, David  and
      Kolhatkar, Varada  and
      Li, Lucy  and
      Mieskes, Margot  and
      Pedersen, Ted",
    booktitle = "Proceedings of the Fifth Workshop on Teaching NLP",
    month = jun,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/2021.teachingnlp-1.8/",
    doi = "10.18653/v1/2021.teachingnlp-1.8",
    pages = "55--58",
    abstract = "MiniVQA is a Jupyter notebook to build a tailored VQA competition for your students. The resource creates all the needed resources to create a classroom competition that engages and inspires your students on the free, self-service Kaggle platform. ``InClass competitions make machine learning fun{\textexclamdown}{`}."
}