Combinatorial Inference against Label Noise
PyTorch implementation of Combinatorial inference framework in the presence of label noise.
Combinatorial Inference against Label Noise
Paul Hongsuck Seo, Geeho Kim, Bohyung Han
Dependencies
This repository is implemented based on PyTorch with Anaconda.
Training models
python train_combinatorial_classifier.py
Citation
If you use this code in a publication, please cite our paper.
@inproceedings{seo2019combinatorial,
title={Combinatorial inference against label noise},
author={Seo, Paul Hongsuck and Kim, Geeho and Han, Bohyung},
booktitle={NeurIPS},
year={2019}
}
Acknowledgements
This work is partly supported by Google AI Focused Research Award and Korean ICT R&D programs of the MSIP/IITP grant.