Mar 4, 2022 · Using datasets of natural images and of chest radiographs, we then demonstrate experimentally the negative impacts of label noise on training ...

Sep 1, 2021 · Title:Active label cleaning for improved dataset quality under resource constraints ... Abstract:Imperfections in data annotation, known as label ...

Crucially, the proposed approach enables correcting labels up to 4 × more effectively than typical random selection in realistic conditions, making better use ...

Active Label Cleaning for Improved Dataset Quality under Resource Constraints. Mélanie Bernhardt*, Daniel C. Castro*, Ryutaro Tanno*, Anton Schwaighofer ...

from publication: Active label cleaning for improved dataset quality under resource constraints | Imperfections in data annotation, known as label noise ...

Imperfections in data annotation, known as label noise, are detrimental to the training of machine learning models and have an often-overlooked confounding ...

Bibliographic details on Active label cleaning: Improving dataset quality under resource constraints.

Sep 16, 2021 · In this talk, I will present one of our team's latest work "Active label cleaning: Improving dataset quality under resource constraints".

In this work, we address the escalating data labeling challenge in deep learning, focusing on the effectiveness of the Active Label Cleaning (ALC) framework ...