no code implementations • 5 Aug 2022 • Dihong Jiang, Guojun Zhang, Mahdi Karami, Xi Chen, Yunfeng Shao, YaoLiang Yu
Similar to other differentially private (DP) learners, the major challenge for DPGM is also how to achieve a subtle balance between utility and privacy.
no code implementations • ICLR 2022 • Dihong Jiang, Sun Sun, YaoLiang Yu
Deep generative models have been widely used in practical applications such as the detection of out-of-distribution (OOD) data.
Out-of-Distribution Detection Out of Distribution (OOD) Detection
no code implementations • 29 Sep 2021 • Jesse Sun, Dihong Jiang, YaoLiang Yu
Quantile regression has a natural extension to generative modelling by leveraging a stronger convergence in pointwise rather than in distribution.
1 code implementation • 17 Apr 2020 • Wenshuai Zhao, Dihong Jiang, Jorge Peña Queralta, Tomi Westerlund
We present a multi-scale supervised 3D U-Net, MSS U-Net, to automatically segment kidneys and kidney tumors from CT images.