Semi-Supervised Learning by Disentangling and Self-Ensembling Over Stochastic Latent Space

22 July 2019

Papers citing "Semi-Supervised Learning by Disentangling and Self-Ensembling Over Stochastic Latent Space"

6 / 6 papers shown

Title
Learning Disentangled Representations in the Imaging Domain Xiao Liu Pedro Sanchez Spyridon Thermos Alison Q. OÑeil Sotirios A. Tsaftaris OOD DRL 190 72 0 26 Aug 2021
Semi-supervised classification of radiology images with NoTeacher: A Teacher that is not Mean Balagopal Unnikrishnan C. Nguyen Shafa Balaram Chao Li Chuan-Sheng Foo Pavitra Krishnaswamy 47 8 0 10 Aug 2021
Deep Learning for Chest X-ray Analysis: A Survey Ecem Sogancioglu E. Çallı Bram van Ginneken K. G. V. Leeuwen K. Murphy LM&MA 124 329 0 15 Mar 2021
Enhancing Mixup-based Semi-Supervised Learning with Explicit Lipschitz Regularization P. Gyawali S. Ghimire Linwei Wang AAML 57 7 0 23 Sep 2020
Semi-supervised Medical Image Classification with Global Latent Mixing P. Gyawali S. Ghimire Pradeep Bajracharya Zhiyuan Li Linwei Wang 71 36 0 22 May 2020
Fully-hierarchical fine-grained prosody modeling for interpretable speech synthesis Guangzhi Sun Yu Zhang Ron J. Weiss Yuanbin Cao Heiga Zen Yonghui Wu 56 130 0 06 Feb 2020