16 citations · 16 across the 4 of their papers we have counts for
6 papers
Transferability Metrics for Object Detection
Louis Fouquet, Simona Maggio, Léo Dreyfus-Schmidt
Transfer learning aims to make the most of existing pre-trained models to achieve better performance on a new task in limited data scenarios. However, it is unclear which models wi…
Towards Clear Expectations for Uncertainty Estimation
Victor Bouvier, Simona Maggio, Alexandre Abraham +1
If Uncertainty Quantification (UQ) is crucial to achieve trustworthy Machine Learning (ML), most UQ methods suffer from disparate and inconsistent evaluation protocols. We claim th…
Performance Prediction Under Dataset Shift
Simona Maggio, Victor Bouvier, Léo Dreyfus-Schmidt
ML models deployed in production often have to face unknown domain changes, fundamentally different from their training settings. Performance prediction models carry out the crucia…
Ensembling Shift Detectors: an Extensive Empirical Evaluation
Simona Maggio, Léo Dreyfus-Schmidt
The term dataset shift refers to the situation where the data used to train a machine learning model is different from where the model operates. While several types of shifts natur…
Who wrote this book? A challenge for e-commerce
Béranger Dumont, Simona Maggio, Ghiles Sidi Said +1
Modern e-commerce catalogs contain millions of references, associated with textual and visual information that is of paramount importance for the products to be found via search or…
Robustness of Rotation-Equivariant Networks to Adversarial Perturbations
Beranger Dumont, Simona Maggio, Pablo Montalvo
Deep neural networks have been shown to be vulnerable to adversarial examples: very small perturbations of the input having a dramatic impact on the predictions. A wealth of advers…