MiniVQA - A resource to build your tailored VQA competition

Jean-Benoit Delbrouck


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¡‘.
Anthology ID:
2021.teachingnlp-1.8
Volume:
Proceedings of the Fifth Workshop on Teaching NLP
Month:
June
Year:
2021
Address:
Online
Editors:
David Jurgens, Varada Kolhatkar, Lucy Li, Margot Mieskes, Ted Pedersen
Venue:
TeachingNLP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
55–58
Language:
URL:
https://aclanthology.org/2021.teachingnlp-1.8
DOI:
10.18653/v1/2021.teachingnlp-1.8
Bibkey:
Cite (ACL):
Jean-Benoit Delbrouck. 2021. MiniVQA - A resource to build your tailored VQA competition. In Proceedings of the Fifth Workshop on Teaching NLP, pages 55–58, Online. Association for Computational Linguistics.
Cite (Informal):
MiniVQA - A resource to build your tailored VQA competition (Delbrouck, TeachingNLP 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.teachingnlp-1.8.pdf
Data
Visual Question Answering