Generative Moment Matching Networks

10 February 2015

Papers citing "Generative Moment Matching Networks"

41 / 191 papers shown

Title
PassGAN: A Deep Learning Approach for Password Guessing Briland Hitaj Paolo Gasti G. Ateniese Fernando Perez-Cruz GAN 30 246 0 01 Sep 2017
Submodular Mini-Batch Training in Generative Moment Matching Networks Jun Qi 11 0 0 18 Jul 2017
MoCoGAN: Decomposing Motion and Content for Video Generation Sergey Tulyakov Ming Liu Xiaodong Yang Jan Kautz GAN 93 1,131 0 17 Jul 2017
Learning Representations and Generative Models for 3D Point Clouds Panos Achlioptas Olga Diamanti Ioannis Mitliagkas Leonidas J. Guibas 3DV 3DPC 36 88 0 08 Jul 2017
A-NICE-MC: Adversarial Training for MCMC Jiaming Song Shengjia Zhao Stefano Ermon BDL OOD 29 109 0 23 Jun 2017
Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs Cristóbal Esteban Stephanie L. Hyland Gunnar Rätsch GAN SyDa MedIm 48 769 0 08 Jun 2017
On Unifying Deep Generative Models Zhiting Hu Zichao Yang Ruslan Salakhutdinov Eric Xing DRL GAN 41 127 0 02 Jun 2017
Learning Generative Models with Sinkhorn Divergences Aude Genevay Gabriel Peyré Marco Cuturi OT 61 619 0 01 Jun 2017
Geometric GAN Jae Hyun Lim J. C. Ye GAN 26 516 0 08 May 2017
The Pose Knows: Video Forecasting by Generating Pose Futures Jacob Walker Kenneth Marino Abhinav Gupta M. Hebert 35 349 0 28 Apr 2017
Triple Generative Adversarial Nets Chongxuan Li T. Xu Jun Zhu Bo Zhang GAN 42 449 0 07 Mar 2017
Central Moment Discrepancy (CMD) for Domain-Invariant Representation Learning Werner Zellinger Thomas Grubinger E. Lughofer T. Natschläger Susanne Saminger-Platz OOD 14 563 0 28 Feb 2017
Wasserstein GAN Martín Arjovsky Soumith Chintala Léon Bottou GAN 72 4,809 0 26 Jan 2017
Online Structure Learning for Sum-Product Networks with Gaussian Leaves W. Hsu Agastya Kalra Pascal Poupart TPM 6 28 0 19 Jan 2017
Deep Probabilistic Programming Dustin Tran Matthew D. Hoffman Rif A. Saurous E. Brevdo Kevin Patrick Murphy David M. Blei BDL 36 193 0 13 Jan 2017
Stacked Generative Adversarial Networks Xun Huang Yixuan Li Omid Poursaeed J. Hopcroft Serge J. Belongie GAN 22 458 0 13 Dec 2016
Max-Margin Deep Generative Models for (Semi-)Supervised Learning Chongxuan Li Jun Zhu Bo Zhang AI4CE 32 42 0 22 Nov 2016
Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks Emily L. Denton Sam Gross Rob Fergus GAN 27 150 0 19 Nov 2016
Associative Adversarial Networks Tarik Arici Asli Celikyilmaz GAN 34 17 0 18 Nov 2016
Fast Non-Parametric Tests of Relative Dependency and Similarity Wacha Bounliphone Eugene Belilovsky A. Tenenhaus Ioannis Antonoglou Arthur Gretton Matthew B. Blashcko 31 1 0 17 Nov 2016
Generative Models and Model Criticism via Optimized Maximum Mean Discrepancy Danica J. Sutherland H. Tung Heiko Strathmann Soumyajit De Aaditya Ramdas Alex Smola Arthur Gretton 32 253 0 14 Nov 2016
On the Quantitative Analysis of Decoder-Based Generative Models Yuhuai Wu Yuri Burda Ruslan Salakhutdinov Roger C. Grosse GAN 22 223 0 14 Nov 2016
Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Learning Dilin Wang Qiang Liu GAN BDL 38 118 0 06 Nov 2016
Removal of Batch Effects using Distribution-Matching Residual Networks Uri Shaham Kelly P. Stanton Jun Zhao Huamin Li K. Raddassi Ruth R. Montgomery Y. Kluger 24 160 0 13 Oct 2016
Learning in Implicit Generative Models S. Mohamed Balaji Lakshminarayanan GAN 25 412 0 11 Oct 2016
Towards cross-lingual distributed representations without parallel text trained with adversarial autoencoders Antonio Valerio Miceli Barone 16 120 0 09 Aug 2016
Coupled Generative Adversarial Networks Ming Liu Oncel Tuzel OOD GAN 22 1,622 0 24 Jun 2016
Improved Techniques for Training GANs Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen GAN 146 8,932 0 10 Jun 2016
Neural Autoregressive Distribution Estimation Benigno Uria Marc-Alexandre Côté Karol Gregor Iain Murray Hugo Larochelle 42 313 0 07 May 2016
Gaussian Copula Variational Autoencoders for Mixed Data Suwon Suh Seungjin Choi DRL 15 14 0 18 Apr 2016
Generative Image Modeling using Style and Structure Adversarial Networks Xueliang Wang Abhinav Gupta GAN 31 617 0 17 Mar 2016
Texture Networks: Feed-forward Synthesis of Textures and Stylized Images Dmitry Ulyanov V. Lebedev Andrea Vedaldi Victor Lempitsky 3DH 14 942 0 10 Mar 2016
Variational Auto-encoded Deep Gaussian Processes Zhenwen Dai Andreas C. Damianou Javier I. González Neil D. Lawrence BDL 24 131 0 19 Nov 2015
Deep Manifold Traversal: Changing Labels with Convolutional Features Jacob R. Gardner P. Upchurch Matt J. Kusner Yixuan Li Kilian Q. Weinberger Kavita Bala J. Hopcroft 34 65 0 19 Nov 2015
Learning to Generate Images with Perceptual Similarity Metrics Jake C. Snell Karl Ridgeway Renjie Liao Brett D. Roads Michael C. Mozer R. Zemel EGVM 24 176 0 19 Nov 2015
Generating Sentences from a Continuous Space Samuel R. Bowman Luke Vilnis Oriol Vinyals Andrew M. Dai Rafal Jozefowicz Samy Bengio DRL 34 2,343 0 19 Nov 2015
How (not) to Train your Generative Model: Scheduled Sampling, Likelihood, Adversary? Ferenc Huszár OOD DiffM GAN 28 296 0 16 Nov 2015
A note on the evaluation of generative models Lucas Theis Aaron van den Oord Matthias Bethge EGVM 24 1,132 0 05 Nov 2015
Importance Weighted Autoencoders Yuri Burda Roger C. Grosse Ruslan Salakhutdinov BDL 15 1,236 0 01 Sep 2015
Training generative neural networks via Maximum Mean Discrepancy optimization Gintare Karolina Dziugaite Daniel M. Roy Zoubin Ghahramani GAN 19 524 0 14 May 2015
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,639 0 03 Jul 2012