100 citations · 123 across the 3 of their papers we have counts for
3 papers
cs.CV2020★ 11 cited
Learning to Learn with Variational Information Bottleneck for Domain Generalization
Yingjun Du, Jun Xu, Huan Xiong +4
Domain generalization models learn to generalize to previously unseen domains, but suffer from prediction uncertainty and domain shift. In this paper, we address both problems. We…
cs.LG2020★ 12 cited
Learning to Learn Kernels with Variational Random Features
Xiantong Zhen, Haoliang Sun, Yingjun Du +4
In this work, we introduce kernels with random Fourier features in the meta-learning framework to leverage their strong few-shot learning ability. We propose meta variational rando…
cs.CV2020★ 100 cited
Conditional Variational Image Deraining
Ying-Jun Du, Jun Xu, Xian-Tong Zhen +2
Image deraining is an important yet challenging image processing task. Though deterministic image deraining methods are developed with encouraging performance, they are infeasible…