Robust Geometric Metric Learning - RGML

This repository hosts Python code for Robust Geometric Metric Learning.

See the associated arXiv paper.

Installation

The script install.sh creates a conda environment with everything needed to run the examples of this repo and installs the package:

./install.sh

Check

To check the installation, activate the created conda environment robust_metric_learning and run the unit tests:

conda activate robust_metric_learning
nose2 -v --with-coverage

Run experiments

To run experiments, run the scripts of examples/, e.g.

python examples/mislabeling.py

Cite

If you use this code please cite:

@misc{collas2022robust,
      title={Robust Geometric Metric Learning}, 
      author={Antoine Collas and Arnaud Breloy and Guillaume Ginolhac and Chengfang Ren and Jean-Philippe Ovarlez},
      year={2022},
      eprint={2202.11550},
      archivePrefix={arXiv},
      primaryClass={stat.ML}
}