9 citations · 9 across the 2 of their papers we have counts for
2 papers
cs.LG2019
Deep Minimax Probability Machine
Lirong He, Ziyi Guo, Kaizhu Huang +1
Deep neural networks enjoy a powerful representation and have proven effective in a number of applications. However, recent advances show that deep neural networks are vulnerable t…
cs.CV2018★ 9 cited
DART: Domain-Adversarial Residual-Transfer Networks for Unsupervised Cross-Domain Image Classification
Xianghong Fang, Haoli Bai, Ziyi Guo +3
The accuracy of deep learning (e.g., convolutional neural networks) for an image classification task critically relies on the amount of labeled training data. Aiming to solve an im…