f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization

2 June 2016

Papers citing "f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization"

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Title
Unsupervised and semi-supervised learning with Categorical Generative Adversarial Networks assisted by Wasserstein distance for dermoscopy image Classification Xin Yi Ekta Walia P. Babyn GAN MedIm 65 52 0 10 Apr 2018
Graphical Generative Adversarial Networks Chongxuan Li Max Welling Jun Zhu Bo Zhang GAN 54 36 0 10 Apr 2018
Generative Adversarial Networks for Extreme Learned Image Compression E. Agustsson Michael Tschannen Fabian Mentzer Radu Timofte Luc Van Gool GAN 84 563 0 09 Apr 2018
Sliced-Wasserstein Autoencoder: An Embarrassingly Simple Generative Model Soheil Kolouri Phillip E. Pope Charles E. Martin Gustavo K. Rohde 82 94 0 05 Apr 2018
Generative Adversarial Networks (GANs): What it can generate and What it cannot? P Manisha Sujit Gujar GAN 35 0 0 31 Mar 2018
Generative Modeling using the Sliced Wasserstein Distance Ishani Deshpande Ziyu Zhang Alex Schwing GAN 65 226 0 29 Mar 2018
Correcting differences in multi-site neuroimaging data using Generative Adversarial Networks H. Nguyen R. Morris Anthony W. Harris Mayuresh S. Korgoankar F. Ramos MedIm 41 8 0 26 Mar 2018
Fictitious GAN: Training GANs with Historical Models Hao Ge Yin Xia Xu Chen R. Berry Ying Nian Wu AI4CE GAN 110 29 0 23 Mar 2018
Boosted Density Estimation Remastered Zac Cranko Richard Nock GAN 69 12 0 22 Mar 2018
Some Theoretical Properties of GANs Gérard Biau B. Cadre Maxime Sangnier Ugo Tanielian GAN 79 52 0 21 Mar 2018
Analysis of Nonautonomous Adversarial Systems Arash Mehrjou GAN 10 3 0 13 Mar 2018
Structural Agnostic Modeling: Adversarial Learning of Causal Graphs Diviyan Kalainathan Olivier Goudet Isabelle M Guyon David Lopez-Paz Michèle Sebag CML 95 96 0 13 Mar 2018
An Introduction to Image Synthesis with Generative Adversarial Nets He Huang Philip S. Yu Changhu Wang GAN 89 186 0 12 Mar 2018
Learning the Base Distribution in Implicit Generative Models Cem Subakan Oluwasanmi Koyejo Paris Smaragdis GAN DRL 45 8 0 12 Mar 2018
Style Aggregated Network for Facial Landmark Detection Xuanyi Dong Yan Yan Wanli Ouyang Yi Yang CVBM 3DH 97 304 0 12 Mar 2018
Motion deblurring of faces Grigorios G. Chrysos Paolo Favaro Stefanos Zafeiriou CVBM 56 30 0 08 Mar 2018
Improving the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual Effect Xiang Wei Boqing Gong Zixia Liu W. Lu Liqiang Wang GAN 121 262 0 05 Mar 2018
Memorization Precedes Generation: Learning Unsupervised GANs with Memory Networks Youngjin Kim Minjung Kim Gunhee Kim GAN 126 41 0 05 Mar 2018
The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches Md. Zahangir Alom T. Taha C. Yakopcic Stefan Westberg P. Sidike Mst Shamima Nasrin B. Van Essen A. Awwal V. Asari VLM 133 883 0 03 Mar 2018
Quantitatively Evaluating GANs With Divergences Proposed for Training Daniel Jiwoong Im He Ma Graham W. Taylor K. Branson EGVM 85 70 0 02 Mar 2018
A Variational Inequality Perspective on Generative Adversarial Networks Gauthier Gidel Hugo Berard Gaëtan Vignoud Pascal Vincent Simon Lacoste-Julien GAN 172 354 0 28 Feb 2018
Robust GANs against Dishonest Adversaries Zhi Xu Chengtao Li Stefanie Jegelka AAML 80 3 0 27 Feb 2018
Water from Two Rocks: Maximizing the Mutual Information Yuqing Kong Grant Schoenebeck 69 41 0 24 Feb 2018
On the Convergence and Robustness of Training GANs with Regularized Optimal Transport Maziar Sanjabi Jimmy Ba Meisam Razaviyayn Jason D. Lee GAN 107 139 0 22 Feb 2018
Distribution Matching in Variational Inference Mihaela Rosca Balaji Lakshminarayanan S. Mohamed GAN CML DRL 147 98 0 19 Feb 2018
Post Selection Inference with Incomplete Maximum Mean Discrepancy Estimator M. Yamada Denny Wu Yao-Hung Hubert Tsai Ichiro Takeuchi Ruslan Salakhutdinov Kenji Fukumizu 112 20 0 17 Feb 2018
Interaction Matters: A Note on Non-asymptotic Local Convergence of Generative Adversarial Networks Tengyuan Liang J. Stokes 142 212 0 16 Feb 2018
Disentangling by Factorising Hyunjik Kim A. Mnih CoGe OOD 166 1,357 0 16 Feb 2018
Spectral Normalization for Generative Adversarial Networks Takeru Miyato Toshiki Kataoka Masanori Koyama Yuichi Yoshida ODL 281 4,454 0 16 Feb 2018
Multinomial Adversarial Networks for Multi-Domain Text Classification Xilun Chen Claire Cardie OOD 93 133 0 15 Feb 2018
cGANs with Projection Discriminator Takeru Miyato Masanori Koyama GAN 110 773 0 15 Feb 2018
First Order Generative Adversarial Networks Calvin Seward Thomas Unterthiner Urs M. Bergmann Nikolay Jetchev Sepp Hochreiter GAN 72 8 0 13 Feb 2018
On the Latent Space of Wasserstein Auto-Encoders Paul Kishan Rubenstein Bernhard Schölkopf Ilya O. Tolstikhin DRL 58 53 0 11 Feb 2018
Coulomb Autoencoders E. Sansone Hafiz Tiomoko Ali Jiacheng Sun DRL 45 1 0 10 Feb 2018
Training Generative Adversarial Networks via Primal-Dual Subgradient Methods: A Lagrangian Perspective on GAN Xu Chen Jiang Wang Hao Ge GAN 85 14 0 06 Feb 2018
DP-GAN: Diversity-Promoting Generative Adversarial Network for Generating Informative and Diversified Text Jingjing Xu Xuancheng Ren Junyang Lin Xu Sun 93 145 0 05 Feb 2018
No Modes left behind: Capturing the data distribution effectively using GANs Shashank Sharma Vinay P. Namboodiri GAN 29 4 0 02 Feb 2018
Improved Training of Generative Adversarial Networks Using Representative Features Duhyeon Bang Hyunjung Shim GAN 92 33 0 28 Jan 2018
Fast cosmic web simulations with generative adversarial networks Andrés C. Rodríguez T. Kacprzak Aurelien Lucchi A. Amara R. Sgier J. Fluri Thomas Hofmann Alexandre Réfrégier GAN AI4CE 115 90 0 27 Jan 2018
Which Training Methods for GANs do actually Converge? L. Mescheder Andreas Geiger Sebastian Nowozin 95 1,470 0 13 Jan 2018
MINE: Mutual Information Neural Estimation Mohamed Ishmael Belghazi A. Baratin Sai Rajeswar Sherjil Ozair Yoshua Bengio Aaron Courville R. Devon Hjelm DRL 275 1,287 0 12 Jan 2018
Gradient Layer: Enhancing the Convergence of Adversarial Training for Generative Models Atsushi Nitanda Taiji Suzuki GAN 118 12 0 07 Jan 2018
Differentially Private Releasing via Deep Generative Model (Technical Report) Xinyang Zhang S. Ji Ting Wang SyDa 80 71 0 05 Jan 2018
Demystifying MMD GANs Mikolaj Binkowski Danica J. Sutherland Michael Arbel Arthur Gretton EGVM 286 1,507 0 04 Jan 2018
f-Divergence constrained policy improvement Boris Belousov Jan Peters 61 21 0 29 Dec 2017
Geometrical Insights for Implicit Generative Modeling Léon Bottou Martín Arjovsky David Lopez-Paz Maxime Oquab 75 50 0 21 Dec 2017
On the Effectiveness of Least Squares Generative Adversarial Networks Xudong Mao Qing Li Haoran Xie Raymond Y. K. Lau Zhen Wang Stephen Paul Smolley GAN 78 160 0 18 Dec 2017
On reproduction of On the regularization of Wasserstein GANs Junghoon Seo Taegyun Jeon 24 0 0 16 Dec 2017
PacGAN: The power of two samples in generative adversarial networks Zinan Lin A. Khetan Giulia Fanti Sewoong Oh GAN 134 335 0 12 Dec 2017
Semi-Supervised Learning with IPM-based GANs: an Empirical Study Tom Sercu Youssef Mroueh GAN 72 1 0 07 Dec 2017