Search Results for author:
Found 2 papers, 0 papers with code
Providing Actionable Feedback in Hiring Marketplaces using Generative Adversarial Networks
Machine learning predictors have been increasingly applied in production settings, including in one of the world's largest hiring platforms, Hired, to provide a better candidate and recruiter experience.
CounteRGAN: Generating Realistic Counterfactuals with Residual Generative Adversarial Nets
The prevalence of machine learning models in various industries has led to growing demands for model interpretability and for the ability to provide meaningful recourse to users.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
