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"

50 / 904 papers shown

Title
On Unifying Deep Generative Models Zhiting Hu Zichao Yang Ruslan Salakhutdinov Eric Xing DRL GAN 143 127 0 02 Jun 2017
Adversarial Generation of Natural Language Sai Rajeswar Sandeep Subramanian Francis Dutil C. Pal Aaron Courville GAN 79 205 0 31 May 2017
The Numerics of GANs L. Mescheder Sebastian Nowozin Andreas Geiger GAN 123 457 0 30 May 2017
Fisher GAN Youssef Mroueh Tom Sercu GAN AI4CE 79 133 0 26 May 2017
Bayesian GAN Yunus Saatci A. Wilson GAN 120 133 0 26 May 2017
Stabilizing Training of Generative Adversarial Networks through Regularization Kevin Roth Aurelien Lucchi Sebastian Nowozin Thomas Hofmann GAN 73 448 0 25 May 2017
Filtering Variational Objectives Chris J. Maddison Dieterich Lawson George Tucker N. Heess Mohammad Norouzi A. Mnih Arnaud Doucet Yee Whye Teh FedML 262 210 0 25 May 2017
Approximation and Convergence Properties of Generative Adversarial Learning Shuang Liu Olivier Bousquet Kamalika Chaudhuri 70 137 0 24 May 2017
Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models Aditya Grover Manik Dhar Stefano Ermon GAN 90 24 0 24 May 2017
Semi-supervised Learning with GANs: Manifold Invariance with Improved Inference Abhishek Kumar P. Sattigeri P. T. Fletcher GAN 96 42 0 24 May 2017
Open-Category Classification by Adversarial Sample Generation Yang Yu Wei-Yang Qu Nan Li Zimin Guo VLM GAN 73 83 0 24 May 2017
MMD GAN: Towards Deeper Understanding of Moment Matching Network Chun-Liang Li Wei-Cheng Chang Yu Cheng Yiming Yang Barnabás Póczós GAN 81 726 0 24 May 2017
Stabilizing GAN Training with Multiple Random Projections Behnam Neyshabur Srinadh Bhojanapalli Ayan Chakrabarti 69 83 0 22 May 2017
From optimal transport to generative modeling: the VEGAN cookbook Olivier Bousquet Sylvain Gelly Ilya O. Tolstikhin Carl-Johann Simon-Gabriel B. Schoelkopf OT 117 147 0 22 May 2017
Annealed Generative Adversarial Networks Arash Mehrjou Bernhard Schölkopf Saeed Saremi GAN 56 13 0 21 May 2017
On Convergence and Stability of GANs Naveen Kodali Jacob D. Abernethy James Hays Z. Kira GAN 99 87 0 19 May 2017
Geometric GAN Jae Hyun Lim J. C. Ye GAN 173 519 0 08 May 2017
Accelerating Science with Generative Adversarial Networks: An Application to 3D Particle Showers in Multi-Layer Calorimeters Michela Paganini Luke de Oliveira Benjamin Nachman AI4CE 103 223 0 05 May 2017
Softmax GAN Min Lin GAN 68 19 0 20 Apr 2017
Gang of GANs: Generative Adversarial Networks with Maximum Margin Ranking Felix Juefei Xu Vishnu Boddeti Marios Savvides GAN 58 30 0 17 Apr 2017
Sampling-based speech parameter generation using moment-matching networks Shinnosuke Takamichi Tomoki Koriyama Hiroshi Saruwatari 49 13 0 12 Apr 2017
Improved Training of Wasserstein GANs Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville GAN 249 9,604 0 31 Mar 2017
Steganographic Generative Adversarial Networks Denis Volkhonskiy Ivan Nazarov Evgeny Burnaev GAN 82 214 0 16 Mar 2017
Trimmed Density Ratio Estimation Song Liu Akiko Takeda Taiji Suzuki Kenji Fukumizu 70 19 0 09 Mar 2017
Activation Maximization Generative Adversarial Nets Zhiming Zhou Han Cai Shunlin Rong Yuxuan Song Kan Ren Weinan Zhang Yong Yu Jun Wang GAN 89 0 0 06 Mar 2017
A Theory of Output-Side Unsupervised Domain Adaptation Tomer Galanti Lior Wolf OOD 61 5 0 05 Mar 2017
Denoising Adversarial Autoencoders Antonia Creswell Anil Anthony Bharath DiffM 97 131 0 03 Mar 2017
Towards Deeper Understanding of Variational Autoencoding Models Shengjia Zhao Jiaming Song Stefano Ermon DRL 88 158 0 28 Feb 2017
Boosted Generative Models Aditya Grover Stefano Ermon 99 51 0 27 Feb 2017
Boundary-Seeking Generative Adversarial Networks R. Devon Hjelm Athul Paul Jacob Tong Che Adam Trischler Kyunghyun Cho Yoshua Bengio GAN 112 170 0 27 Feb 2017
McGan: Mean and Covariance Feature Matching GAN Youssef Mroueh Tom Sercu Vaibhava Goel GAN 110 160 0 27 Feb 2017
Approximate Inference with Amortised MCMC Yingzhen Li Richard Turner Qiang Liu BDL 107 62 0 27 Feb 2017
Calibrating Energy-based Generative Adversarial Networks Zihang Dai Amjad Almahairi Philip Bachman Eduard H. Hovy Aaron Courville GAN 80 111 0 06 Feb 2017
Wasserstein GAN Martín Arjovsky Soumith Chintala Léon Bottou GAN 201 4,837 0 26 Jan 2017
Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities Guo-Jun Qi GAN 171 352 0 23 Jan 2017
Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks L. Mescheder Sebastian Nowozin Andreas Geiger GAN BDL 191 530 0 17 Jan 2017
AdaGAN: Boosting Generative Models Ilya O. Tolstikhin Sylvain Gelly Olivier Bousquet Carl-Johann Simon-Gabriel Bernhard Schölkopf GAN 119 226 0 09 Jan 2017
NIPS 2016 Tutorial: Generative Adversarial Networks Ian Goodfellow GAN 200 1,730 0 31 Dec 2016
Adversarial Message Passing For Graphical Models Theofanis Karaletsos GAN 96 29 0 15 Dec 2016
Improved generator objectives for GANs Ben Poole Alexander A. Alemi Jascha Narain Sohl-Dickstein A. Angelova 78 69 0 08 Dec 2016
Message Passing Multi-Agent GANs Arna Ghosh Viveka Kulharia Vinay P. Namboodiri AI4CE GAN 77 18 0 05 Dec 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 148 263 0 14 Nov 2016
Least Squares Generative Adversarial Networks Xudong Mao Qing Li Haoran Xie Raymond Y. K. Lau Zhen Wang Stephen Paul Smolley GAN 533 4,591 0 13 Nov 2016
GANS for Sequences of Discrete Elements with the Gumbel-softmax Distribution Matt J. Kusner José Miguel Hernández-Lobato GAN 137 328 0 12 Nov 2016
A Connection between Generative Adversarial Networks, Inverse Reinforcement Learning, and Energy-Based Models Chelsea Finn Paul Christiano Pieter Abbeel Sergey Levine OffRL AI4CE GAN 104 356 0 11 Nov 2016
Unrolled Generative Adversarial Networks Luke Metz Ben Poole David Pfau Jascha Narain Sohl-Dickstein GAN 176 1,007 0 07 Nov 2016
Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Learning Dilin Wang Qiang Liu GAN BDL 151 119 0 06 Nov 2016
Generative Multi-Adversarial Networks Ishan Durugkar I. Gemp Sridhar Mahadevan GAN 108 345 0 05 Nov 2016
Learning to Protect Communications with Adversarial Neural Cryptography Martín Abadi David G. Andersen FedML GAN 95 213 0 21 Oct 2016
Revisiting Classifier Two-Sample Tests David Lopez-Paz Maxime Oquab 241 408 0 20 Oct 2016