3 papers
cs.LG2021
Estimating Expected Calibration Errors
Nicolas Posocco, Antoine Bonnefoy
Uncertainty in probabilistic classifiers predictions is a key concern when models are used to support human decision making, in broader probabilistic pipelines or when sensitive au…
cs.LG2021
DAEMA: Denoising Autoencoder with Mask Attention
Simon Tihon, Muhammad Usama Javaid, Damien Fourure +2
Missing data is a recurrent and challenging problem, especially when using machine learning algorithms for real-world applications. For this reason, missing data imputation has bec…
cs.LG2021
Anomaly Detection: How to Artificially Increase your F1-Score with a Biased Evaluation Protocol
Damien Fourure, Muhammad Usama Javaid, Nicolas Posocco +1
Anomaly detection is a widely explored domain in machine learning. Many models are proposed in the literature, and compared through different metrics measured on various datasets.…