1 code implementation • 25 Jan 2024 • Cheng Chen, Sreenath Kyathanahally, Marta Reyes, Stefanie Merkli, Ewa Merz, Emanuele Francazi, Marvin Hoege, Francesco Pomati, Marco Baity-Jesi
For example, a MobileNet with a 92% nominal test accuracy shows a 77% OOD accuracy.
no code implementations • 1 Jun 2023 • Emanuele Francazi, Aurelien Lucchi, Marco Baity-Jesi
Understanding and controlling biasing effects in neural networks is crucial for ensuring accurate and fair model performance.
1 code implementation • 1 Jul 2022 • Emanuele Francazi, Marco Baity-Jesi, Aurelien Lucchi
We find that GD is not guaranteed to decrease the loss for each class but that this problem can be addressed by performing a per-class normalization of the gradient.
