1 code implementation • 6 Jun 2023 • Eduardo Dadalto, Pierre Colombo, Guillaume Staerman, Nathan Noiry, Pablo Piantanida
A key feature of out-of-distribution (OOD) detection is to exploit a trained neural network by extracting statistical patterns and relationships through the multi-layer classifier to detect shifts in the expected input data distribution.
1 code implementation • 2 Jun 2023 • Eduardo Dadalto, Marco Romanelli, Georg Pichler, Pablo Piantanida
Misclassification detection is an important problem in machine learning, as it allows for the identification of instances where the model's predictions are unreliable.