7 citations · 7 across the 4 of their papers we have counts for
4 papers
Modeling Rapid Contextual Learning in the Visual Cortex with Fast-Weight Deep Autoencoder Networks
Yue Li, Weifan Wang, Tai Sing Lee
Recent neurophysiological studies have revealed that the early visual cortex can rapidly learn global image context, as evidenced by a sparsification of population responses and a…
Field-Dependent Magnetic Domain Behavior in van der Waals FeGeTe
Yue Li, Rabindra Basnet, Krishna Pandey +6
Two-dimensional magnetic van der Waals (vdW) materials can show a variety of topological nontrivial spin textures, such as Bloch- or Néel-type stripe, skyrmion or bubble domains un…
Restrained Generative Adversarial Network against Overfitting in Numeric Data Augmentation
Wei Wang, Yimeng Chai, Tao Cui +4
In recent studies, Generative Adversarial Network (GAN) is one of the popular schemes to augment the image dataset. However, in our study we find the generator G in the GAN fails t…
Study of Constrained Network Structures for WGANs on Numeric Data Generation
Wei Wang, Chuang Wang, Tao Cui +1
Some recent studies have suggested using GANs for numeric data generation such as to generate data for completing the imbalanced numeric data. Considering the significant differenc…