3 citations · 4 across the 4 of their papers we have counts for
4 papers
Over-parameterization and Adversarial Robustness in Neural Networks: An Overview and Empirical Analysis
Srishti Gupta, Zhang Chen, Luca Demetrio +9
Thanks to their extensive capacity, over-parameterized neural networks exhibit superior predictive capabilities and generalization. However, having a large parameter space is consi…
Label-Removed Generative Adversarial Networks Incorporating with K-Means
Ce Wang, Zhangling Chen, Kun Shang
Generative Adversarial Networks (GANs) have achieved great success in generating realistic images. Most of these are conditional models, although acquisition of class labels is exp…
Scalable Angular Discriminative Deep Metric Learning for Face Recognition
Bowen Wu, Huaming Wu, Monica M. Y. Zhang
With the development of deep learning, Deep Metric Learning (DML) has achieved great improvements in face recognition. Specifically, the widely used softmax loss in the training pr…
Exponential Discriminative Metric Embedding in Deep Learning
Bowen Wu, Zhangling Chen, Jun Wang +1
With the remarkable success achieved by the Convolutional Neural Networks (CNNs) in object recognition recently, deep learning is being widely used in the computer vision community…