Max-Margin Deep Generative Models for (Semi-)Supervised Learning

Max-Margin Deep Generative Models for (Semi-)Supervised Learning

22 November 2016

Jun Zhu

Papers citing "Max-Margin Deep Generative Models for (Semi-)Supervised Learning"

7 / 7 papers shown

Title
Latent Preserving Generative Adversarial Network for Imbalance classification T. Dam Md Meftahul Ferdaus Mahardhika Pratama S. Anavatti Senthilnath Jayavelu H. Abbass 27 6 0 04 Sep 2022
Supervising the Decoder of Variational Autoencoders to Improve Scientific Utility Liyun Tu Austin Talbot Neil Gallagher David Carlson DRL 32 2 0 09 Sep 2021
Triple Generative Adversarial Networks Chongxuan Li Kun Xu Jiashuo Liu Jun Zhu Bo Zhang GAN 31 41 0 20 Dec 2019
Semi-Supervised Learning via Compact Latent Space Clustering Konstantinos Kamnitsas Daniel Coelho De Castro Loic Le Folgoc Ian Walker Ryutaro Tanno Daniel Rueckert Ben Glocker A. Criminisi A. Nori SSL 30 89 0 07 Jun 2018
A Generative Modeling Approach to Limited Channel ECG Classification Deepta Rajan Jayaraman J. Thiagarajan 21 35 0 18 Feb 2018
Triple Generative Adversarial Nets Chongxuan Li T. Xu Jun Zhu Bo Zhang GAN 33 448 0 07 Mar 2017
Bayesian Inference with Posterior Regularization and applications to Infinite Latent SVMs Jun Zhu Ning Chen Eric P. Xing BDL 65 157 0 05 Oct 2012