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"

39 / 39 papers shown

Title
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 351 10,591 0 17 Feb 2020
On the Quantitative Analysis of Decoder-Based Generative Models Yuhuai Wu Yuri Burda Ruslan Salakhutdinov Roger C. Grosse GAN 73 223 0 14 Nov 2016
Conditional Generative Moment-Matching Networks Yong Ren J. Li Yucen Luo Jun Zhu GAN 40 62 0 14 Jun 2016
Improved Techniques for Training GANs Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen GAN 472 9,027 0 10 Jun 2016
Theano: A Python framework for fast computation of mathematical expressions The Theano Development Team Rami Al-Rfou Guillaume Alain Amjad Almahairi Christof Angermüller ... Kelvin Xu Lijun Xue Li Yao Saizheng Zhang Ying Zhang 187 2,339 0 09 May 2016
Learning to Generate with Memory Chongxuan Li Jun Zhu Bo Zhang BDL 90 42 0 24 Feb 2016
Auxiliary Deep Generative Models Lars Maaløe C. Sønderby Søren Kaae Sønderby Ole Winther DRL GAN 75 451 0 17 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.1K 193,426 0 10 Dec 2015
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Alec Radford Luke Metz Soumith Chintala GAN OOD 243 13,989 0 19 Nov 2015
Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks Jost Tobias Springenberg GAN 82 745 0 19 Nov 2015
Importance Weighted Autoencoders Yuri Burda Roger C. Grosse Ruslan Salakhutdinov BDL 262 1,245 0 01 Sep 2015
Semi-Supervised Learning with Ladder Networks Antti Rasmus Harri Valpola Mikko Honkala Mathias Berglund T. Raiko SSL 91 1,372 0 09 Jul 2015
Distributional Smoothing with Virtual Adversarial Training Takeru Miyato S. Maeda Masanori Koyama Ken Nakae S. Ishii 89 458 0 02 Jul 2015
Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks Emily L. Denton Soumith Chintala Arthur Szlam Rob Fergus GAN 90 2,241 0 18 Jun 2015
Learning Deep Generative Models with Doubly Stochastic MCMC Chao Du Jun Zhu Bo Zhang BDL SyDa 48 9 0 15 Jun 2015
Training generative neural networks via Maximum Mean Discrepancy optimization Gintare Karolina Dziugaite Daniel M. Roy Zoubin Ghahramani GAN 84 530 0 14 May 2015
Max-margin Deep Generative Models Chongxuan Li Jun Zhu Tianlin Shi Bo Zhang AI4CE 64 32 0 26 Apr 2015
DRAW: A Recurrent Neural Network For Image Generation Karol Gregor Ivo Danihelka Alex Graves Danilo Jimenez Rezende Daan Wierstra GAN DRL 161 1,960 0 16 Feb 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 437 43,234 0 11 Feb 2015
Generative Moment Matching Networks Yujia Li Kevin Swersky R. Zemel OOD GAN 98 847 0 10 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.6K 149,842 0 22 Dec 2014
Learning to Generate Chairs, Tables and Cars with Convolutional Networks Alexey Dosovitskiy Jost Tobias Springenberg Maxim Tatarchenko Thomas Brox GAN 164 676 0 21 Nov 2014
Deeply-Supervised Nets Chen-Yu Lee Saining Xie Patrick W. Gallagher Zhengyou Zhang Zhuowen Tu 333 2,238 0 18 Sep 2014
Semi-Supervised Learning with Deep Generative Models Diederik P. Kingma Danilo Jimenez Rezende S. Mohamed Max Welling GAN SSL BDL 83 2,738 0 20 Jun 2014
Reweighted Wake-Sleep J. Bornschein Yoshua Bengio BDL 85 183 0 11 Jun 2014
Neural Variational Inference and Learning in Belief Networks A. Mnih Karol Gregor BDL 165 729 0 31 Jan 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 431 16,944 0 20 Dec 2013
Network In Network Min Lin Qiang Chen Shuicheng Yan 285 6,274 0 16 Dec 2013
Deep AutoRegressive Networks Karol Gregor Ivo Danihelka A. Mnih Charles Blundell Daan Wierstra AI4TS BDL 89 282 0 31 Oct 2013
Gibbs Max-margin Topic Models with Data Augmentation Jun Zhu Ning Chen Hugh Perkins Bo Zhang TPM 74 85 0 10 Oct 2013
Improved Bayesian Logistic Supervised Topic Models with Data Augmentation Jun Zhu Xun Zheng Bo Zhang 52 14 0 09 Oct 2013
Deep Generative Stochastic Networks Trainable by Backprop Yoshua Bengio Eric Thibodeau-Laufer Guillaume Alain J. Yosinski BDL 127 396 0 05 Jun 2013
Deep Learning using Linear Support Vector Machines Yichuan Tang 95 894 0 02 Jun 2013
Generalized Denoising Auto-Encoders as Generative Models Yoshua Bengio L. Yao Guillaume Alain Pascal Vincent 101 540 0 29 May 2013
Maxout Networks Ian Goodfellow David Warde-Farley M. Berk Mirza Aaron Courville Yoshua Bengio OOD 230 2,178 0 18 Feb 2013
Stochastic Pooling for Regularization of Deep Convolutional Neural Networks Matthew D. Zeiler Rob Fergus 178 989 0 16 Jan 2013
Theano: new features and speed improvements Frédéric Bastien Pascal Lamblin Razvan Pascanu James Bergstra Ian Goodfellow Arnaud Bergeron Nicolas Bouchard David Warde-Farley Yoshua Bengio 85 1,419 0 23 Nov 2012
Bayesian Inference with Posterior Regularization and applications to Infinite Latent SVMs Jun Zhu Ning Chen Eric Xing BDL 90 159 0 05 Oct 2012
Convolutional Neural Networks Applied to House Numbers Digit Classification P. Sermanet Soumith Chintala Yann LeCun 88 543 0 18 Apr 2012