Negative data augmentation
A Sinha, K Ayush, J Song, B Uzkent, H **… - ar** deep lithography simulators updated: Global–local shape-based novelty detection and active learning
HC Shao, HL **, KS Chen, WT Su… - … on Computer-Aided …, 2022 - ieeexplore.ieee.org
Learning-based presimulation (ie, layout-to-fabrication) models have been proposed to
predict the fabrication-induced shape deformation from an IC layout to its fabricated circuit …
predict the fabrication-induced shape deformation from an IC layout to its fabricated circuit …
Generative adversarial learning with negative data augmentation for semi-supervised text classification
In recent years, semi-supervised generative adversarial networks (SS-GANs) models such
as GAN-BERT have achieved promising results on the text classification task. One of the …
as GAN-BERT have achieved promising results on the text classification task. One of the …
[PDF][PDF] Scientific African
ER Engelbrecht, JA du Preez - 2020 - researchgate.net
This study investigates the relationship between semi-supervised learning (SSL, which is
training off partially labelled datasets) and open-set recognition (OSR, which is classification …
training off partially labelled datasets) and open-set recognition (OSR, which is classification …