107 citations · 288 across the 43 of their papers we have counts for
3 papers · 1 filter
Position: Let's Strengthen Verifiability If We Can't Enforce Reproducibility
Samet Hicsonmez, Nermin Samet, Renaud Marlet
In the field of Machine Learning, many papers contain empirical results supporting claimed statements or illustrating the performance of a proposed method. However, most practition…
Take One Gram of Neural Features, Get Enhanced Group Robustness
Simon Roburin, Charles Corbière, Gilles Puy +4
Predictive performance of machine learning models trained with empirical risk minimization (ERM) can degrade considerably under distribution shifts. The presence of spurious correl…
Spherical Perspective on Learning with Normalization Layers
Simon Roburin, Yann de Mont-Marin, Andrei Bursuc +3
Normalization Layers (NLs) are widely used in modern deep-learning architectures. Despite their apparent simplicity, their effect on optimization is not yet fully understood. This…