2 papers
cs.LG2025
Unsupervised Dynamic Feature Selection for Robust Latent Spaces in Vision Tasks
Bruno Corcuera, Carlos Eiras-Franco, Brais Cancela
Latent representations are critical for the performance and robustness of machine learning models, as they encode the essential features of data in a compact and informative manner…
cs.LG2025
Beyond RMSE and MAE: Introducing EAUC to unmask hidden bias and unfairness in dyadic regression models
Jorge Paz-Ruza, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas +2
Dyadic regression models, which output real-valued predictions for pairs of entities, are fundamental in many domains (e.g. obtaining user-product ratings in Recommender Systems) a…