MLadv

The core code of the paper "Metric Learning for Categorical and Ambiguous Features: An Adversarial Method".

Usage

• The file demo.m shows how to implement the MLadv method.
• The file ml_adv.m file is the main function.

Acknowledgments

• Our code borrows some helper functions from the packages of Large Margin Nearest Neighbor (JMLR09) and Sparse Compositional Metric Learning (AAAI14). We thanks the writers a lot.

Version history

• v1 (22/06/2020): initial release.

If you have any queries about the code, please feel free to contact me: Xiaochen Yang (xiaochen.yang.16@ucl.ac.uk)