「regression」の検索結果
6 件Deployed language models are updated continually, and regulators increasingly accept changes that were declare
Overall and group-level averages, and ranking metrics such as the AUC, can hide sets of observations for which
Concept erasure is a prominent approach to achieving fairness in machine learning through the removal of sensi
Prediction models degrade when the deployment population differs from the one used to train them, and training
Visual generation requires both high-level semantic knowledge and fine-grained pixel details. We propose a lea
Clinical registries and wearable sensors support early health-risk assessment, yet models trained on these rec