VADER - Visually ExplAinable ADaptive TEaching with Human LearneR
Introduction
This is an implementation of the paper Crowd Teaching with Imperfect Labels Yao Zhou, Arun Reddy Nelakurthi, Ross Maciejewski, Wei Fan, Jingrui He.
Bibtex:
@inproceedings{Zhou2020Vader,
author = {Zhou, Yao and Nelakurthi, Arun Reddy and Maciejewski, Ross and Fan, Wei and He, Jingrui},
title = {Crowd Teaching with Imperfect Labels},
year = {2020},
isbn = {9781450370233},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3366423.3380099},
doi = {10.1145/3366423.3380099},
booktitle = {Proceedings of The Web Conference 2020},
pages = {110–121},
numpages = {12},
keywords = {Interactive teaching, Personalized crowdsourcing, Explanation.},
location = {Taipei, Taiwan},
series = {WWW ’20}
}
Requirements
- python >= 3.6
- pandas
- flask
- scipy
- scikit-learn