24 citations · 80 across the 19 of their papers we have counts for
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cs.LG2023
Seasoning Model Soups for Robustness to Adversarial and Natural Distribution Shifts
Francesco Croce, Sylvestre-Alvise Rebuffi, Evan Shelhamer +1
Adversarial training is widely used to make classifiers robust to a specific threat or adversary, such as -norm bounded perturbations of a given -norm. However, existing…
cs.LG2023★ 2 cited
A Modern Look at the Relationship between Sharpness and Generalization
Maksym Andriushchenko, Francesco Croce, Maximilian Müller +2
Sharpness of minima is a promising quantity that can correlate with generalization in deep networks and, when optimized during training, can improve generalization. However, standa…