Zobrazeno 1 - 10
of 171
pro vyhledávání: '"Nodet P"'
Publikováno v:
Transactions on Machine Learning Research 2024
Mislabeled examples are ubiquitous in real-world machine learning datasets, advocating the development of techniques for automatic detection. We show that most mislabeled detection methods can be viewed as probing trained machine learning models usin
Externí odkaz:
http://arxiv.org/abs/2410.15772
Training machine learning models from data with weak supervision and dataset shifts is still challenging. Designing algorithms when these two situations arise has not been explored much, and existing algorithms cannot always handle the most complex d
Externí odkaz:
http://arxiv.org/abs/2308.15132
The democratization of Data Mining has been widely successful thanks in part to powerful and easy-to-use Machine Learning libraries. These libraries have been particularly tailored to tackle Supervised Learning. However, strong supervision signals ar
Externí odkaz:
http://arxiv.org/abs/2308.09643
In this paper we show that the combination of a Contrastive representation with a label noise-robust classification head requires fine-tuning the representation in order to achieve state-of-the-art performances. Since fine-tuned representations are s
Externí odkaz:
http://arxiv.org/abs/2108.09154
The field of Weakly Supervised Learning (WSL) has recently seen a surge of popularity, with numerous papers addressing different types of "supervision deficiencies". In WSL use cases, a variety of situations exists where the collected "information" i
Externí odkaz:
http://arxiv.org/abs/2012.09632
The field of Weakly Supervised Learning (WSL) has recently seen a surge of popularity, with numerous papers addressing different types of "supervision deficiencies", namely: poor quality, non adaptability, and insufficient quantity of labels. Regardi
Externí odkaz:
http://arxiv.org/abs/2010.09621
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
The goal of this paper is to solve the global sensitivity analysis for a particular control problem. More precisely, the boundary control problem of an open-water channel is considered, where the boundary conditions are defined by the position of a d
Externí odkaz:
http://arxiv.org/abs/1412.2984
The reduced basis method is a powerful model reduction technique designed to speed up the computation of multiple numerical solutions of parametrized partial differential equations. We consider a quantity of interest, which is a linear functional of
Externí odkaz:
http://arxiv.org/abs/1303.6618
Many mathematical models involve input parameters, which are not precisely known. Global sensitivity analysis aims to identify the parameters whose uncertainty has the largest impact on the variability of a quantity of interest (output of the model).
Externí odkaz:
http://arxiv.org/abs/1303.6451