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stat.ML2021★ 1 cited
Sample Noise Impact on Active Learning
Alexandre Abraham, Léo Dreyfus-Schmidt
This work explores the effect of noisy sample selection in active learning strategies. We show on both synthetic problems and real-life use-cases that knowledge of the sample noise…
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…