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"

8 / 8 papers shown

Title
Class-Specific Distribution Alignment for Semi-Supervised Medical Image Classification Zhongzheng Huang Jiawei Wu Tao Wang Zuoyong Li Anastasia Ioannou OOD 68 5 0 29 Jul 2023
Brain Structure-Function Fusing Representation Learning using Adversarial Decomposed-VAE for Analyzing MCI Qiankun Zuo Baiying Lei Ning Zhong Yi Pan Shuqiang Wang 23 30 0 23 May 2023
Learning Disentangled Representations in the Imaging Domain Xiao Liu Pedro Sanchez Spyridon Thermos Alison Q. OÑeil Sotirios A. Tsaftaris OOD DRL 48 71 0 26 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 36 317 0 15 Mar 2021
Enhancing Mixup-based Semi-Supervised Learning with Explicit Lipschitz Regularization P. Gyawali S. Ghimire Linwei Wang AAML 41 7 0 23 Sep 2020
Fully-hierarchical fine-grained prosody modeling for interpretable speech synthesis Guangzhi Sun Yu Zhang Ron J. Weiss Yuanbin Cao Heiga Zen Yonghui Wu 23 130 0 06 Feb 2020
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 393 10,675 0 19 Feb 2017
Conditional Image Synthesis With Auxiliary Classifier GANs Augustus Odena C. Olah Jonathon Shlens GAN 256 3,196 0 30 Oct 2016