@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://aclanthology.org/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!`{`}.",
}
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%0 Conference Proceedings
%T MiniVQA - A resource to build your tailored VQA competition
%A Delbrouck, Jean-Benoit
%Y Jurgens, David
%Y Kolhatkar, Varada
%Y Li, Lucy
%Y Mieskes, Margot
%Y Pedersen, Ted
%S Proceedings of the Fifth Workshop on Teaching NLP
%D 2021
%8 June
%I Association for Computational Linguistics
%C Online
%F delbrouck-2021-minivqa
%X 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!“.
%R 10.18653/v1/2021.teachingnlp-1.8
%U https://aclanthology.org/2021.teachingnlp-1.8
%U https://doi.org/10.18653/v1/2021.teachingnlp-1.8
%P 55-58
Markdown (Informal)
[MiniVQA - A resource to build your tailored VQA competition](https://aclanthology.org/2021.teachingnlp-1.8) (Delbrouck, TeachingNLP 2021)
ACL