9 天前 - … meta label correction (MLC) [22] imposes no additional constraints on the label
correction of noisy samples during the meta-training … additional meta unilabel correction network …

24 天前 - … meta-data, we conduct the meta-learning process with a bi-level programming schema
and achieve robust learning with label noise. … Unlike those label correction methods, our …

45 天前 - … data with noisy labels. Class label noise, resulting from erroneous data labels, has
a … for selecting suitable noise filters overlook hyperparameter adjustment, which is important …

63 天前 - … Therefore, novel deep neural networks combined with meta-learning, attention
mechanisms, or other new transformer technologies need to be given more attention in remote …

66 天前 - … the meta-learning approach using random transformation techniques and similar
samples of the source process to address the noisy pseudo-label … and noisy pseudo labels but …

114 天前 - … efforts have utilized meta-learning or data … noise sensitivity. In this paper, we
propose a novel approach, the Semi-Supervised Label Correction method for Few-Shot Learning (…

133 天前 - … loss, we construct a meta-learning-based framework named Meta-IADA. This
framework is … Meta label correction for noisy label learning. In AAAI, pages 11053–11061, 2021. […

142 天前 - … selection or label correction to deal with noisy labels during the model training
process. In … In addition, we assign additional binary labels to those meta-samples in the training …

150 天前 - … of meaningful information or noise on specific channels and … of the contextual
metadata is significantly improved to … the misspelled "FICING" label to its corrected version of "…

161 天前 - … aims to tackle label noise in deep model training for fine-… a meta-learning framework
to correct labels in the training … algorithm for the meta-learning framework. The proposed …