2 papers
cs.LG2026
Bias In, Bias Out? Finding Unbiased Subnetworks in Vanilla Models
Ivan Luiz De Moura Matos, Abdel Djalil Sad Saoud, Ekaterina Iakovleva +2
The issue of algorithmic biases in deep learning has led to the development of various debiasing techniques, many of which perform complex training procedures or dataset manipulati…
cs.LG2026
Beyond Mapping : Domain-Invariant Representations via Spectral Embedding of Optimal Transport Plans
Abdel Djalil Sad Saoud, Fred Maurice Ngolè Mboula, Hanane Slimani
Distributional shifts between training and inference time data remain a central challenge in machine learning, often leading to poor performance. It motivated the study of principl…