2 papers
cs.LG2021
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…
cs.LG2020
Rebuilding Trust in Active Learning with Actionable Metrics
Alexandre Abraham, Léo Dreyfus-Schmidt
Active Learning (AL) is an active domain of research, but is seldom used in the industry despite the pressing needs. This is in part due to a misalignment of objectives, while rese…