Better with less: A data-active perspective on pre-training graph neural networks
Pre-training on graph neural networks (GNNs) aims to learn transferable knowledge for
downstream tasks with unlabeled data, and it has recently become an active research area …
downstream tasks with unlabeled data, and it has recently become an active research area …
Self-supervised pre-training for transformer-based person re-identification
Feature augmentation and semi-supervised conditional transfer learning for early detection of sepsis
Early detection of Sepsis is crucial for improving patient outcomes, as it is a significant public
health concern that results in substantial morbidity and mortality. However, despite the …
health concern that results in substantial morbidity and mortality. However, despite the …