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
Training GANs with Centripetal Acceleration Wei Peng Yuhong Dai Hui Zhang Lizhi Cheng GAN 84 43 0 24 Feb 2019
2-Wasserstein Approximation via Restricted Convex Potentials with Application to Improved Training for GANs Amirhossein Taghvaei Amin Jalali 89 44 0 19 Feb 2019
Label-Removed Generative Adversarial Networks Incorporating with K-Means Ce Wang Zhangling Chen Kun Shang GAN 33 25 0 19 Feb 2019
Information Losses in Neural Classifiers from Sampling Brandon Foggo N. Yu Jie Shi Yuanqi Gao 63 7 0 15 Feb 2019
Lipschitz Generative Adversarial Nets Zhiming Zhou Jiadong Liang Yuxuan Song Lantao Yu Hongwei Wang Weinan Zhang Yong Yu Zhihua Zhang GAN 106 78 0 15 Feb 2019
Rethinking Generative Mode Coverage: A Pointwise Guaranteed Approach Peilin Zhong Yuchen Mo Chang Xiao Pengyu Chen Changxi Zheng 53 5 0 13 Feb 2019
Biadversarial Variational Autoencoder Arnaud Fickinger GAN BDL DRL 23 0 0 09 Feb 2019
Cost-Effective Incentive Allocation via Structured Counterfactual Inference Romain Lopez Chenchen Li X. Yan Junwu Xiong Michael I. Jordan Yuan Qi Le Song OffRL 98 17 0 07 Feb 2019
Adversarial Networks and Autoencoders: The Primal-Dual Relationship and Generalization Bounds Hisham Husain Richard Nock Robert C. Williamson GAN DRL 57 3 0 03 Feb 2019
Normalized Wasserstein Distance for Mixture Distributions with Applications in Adversarial Learning and Domain Adaptation Yogesh Balaji Rama Chellappa Soheil Feizi 76 49 0 01 Feb 2019
Diversity Regularized Adversarial Learning B. Ayinde Keishin Nishihama J. Zurada GAN 16 1 0 30 Jan 2019
Probability Functional Descent: A Unifying Perspective on GANs, Variational Inference, and Reinforcement Learning Casey Chu Jose H. Blanchet Peter Glynn GAN 75 26 0 30 Jan 2019
Evaluating Bregman Divergences for Probability Learning from Crowd F. A. Mena Ricardo Ñanculef UD UQCV 11 0 0 30 Jan 2019
Progressive Augmentation of GANs Dan Zhang Anna Khoreva 64 27 0 29 Jan 2019
Out-of-Sample Testing for GANs Pablo Sánchez-Martín Pablo Martínez Olmos Fernando Perez-Cruz 60 2 0 28 Jan 2019
Kernel-Guided Training of Implicit Generative Models with Stability Guarantees Arash Mehrjou Wittawat Jitkrittum Krikamol Muandet Bernhard Schölkopf GAN 37 4 0 26 Jan 2019
On Output Activation Functions for Adversarial Losses: A Theoretical Analysis via Variational Divergence Minimization and An Empirical Study on MNIST Classification Hao-Wen Dong Yi-Hsuan Yang AAML 27 0 0 25 Jan 2019
Maximum Entropy Generators for Energy-Based Models Rithesh Kumar Sherjil Ozair Anirudh Goyal Aaron Courville Yoshua Bengio 63 113 0 24 Jan 2019
Deep Generative Learning via Variational Gradient Flow Yuan Gao Yuling Jiao Yang Wang Yao Wang Can Yang Shunkang Zhang 128 38 0 24 Jan 2019
Learning Spatial Pyramid Attentive Pooling in Image Synthesis and Image-to-Image Translation Wei Sun Tianfu Wu 122 13 0 18 Jan 2019
On Relativistic $f$ -Divergences Alexia Jolicoeur-Martineau 53 19 0 08 Jan 2019
Adversarial Learning of a Sampler Based on an Unnormalized Distribution Chunyuan Li Ke Bai Jianqiao Li Guoyin Wang Changyou Chen Lawrence Carin 155 10 0 03 Jan 2019
InstaGAN: Instance-aware Image-to-Image Translation Sangwoo Mo Minsu Cho Jinwoo Shin 102 158 0 28 Dec 2018
Evaluating Generative Adversarial Networks on Explicitly Parameterized Distributions S. O'Brien Matthew Groh Abhimanyu Dubey 26 2 0 27 Dec 2018
Disentangling Latent Space for VAE by Label Relevant/Irrelevant Dimensions Zhilin Zheng Li Sun CML CoGe DRL 85 48 0 22 Dec 2018
RankGAN: A Maximum Margin Ranking GAN for Generating Faces Rahul Dey Felix Juefei Xu Vishnu Boddeti Marios Savvides CVBM GAN 41 22 0 19 Dec 2018
A Tutorial on Deep Latent Variable Models of Natural Language Yoon Kim Sam Wiseman Alexander M. Rush BDL VLM 121 42 0 17 Dec 2018
Latent Dirichlet Allocation in Generative Adversarial Networks Lili Pan Shen Cheng Jian-Dong Liu Yazhou Ren Zenglin Xu GAN 45 3 0 17 Dec 2018
A Survey of Unsupervised Deep Domain Adaptation Garrett Wilson D. Cook OOD 223 824 0 06 Dec 2018
GAN-EM: GAN based EM learning framework Wentian Zhao Shaojie Wang Zhihuai Xie Jing Shi Chenliang Xu VLM GAN 19 13 0 02 Dec 2018
On the Implicit Assumptions of GANs Ke Li Jitendra Malik GAN 37 17 0 29 Nov 2018
How does Lipschitz Regularization Influence GAN Training? Yipeng Qin Niloy Mitra Peter Wonka AI4CE 71 17 0 23 Nov 2018
Stackelberg GAN: Towards Provable Minimax Equilibrium via Multi-Generator Architectures Hongyang R. Zhang Susu Xu Jiantao Jiao P. Xie Ruslan Salakhutdinov Eric Xing 71 23 0 19 Nov 2018
Bayesian Cycle-Consistent Generative Adversarial Networks via Marginalizing Latent Sampling Haoran You Yu Cheng Tianheng Cheng Chunliang Li Pan Zhou GAN 48 3 0 19 Nov 2018
GAN-QP: A Novel GAN Framework without Gradient Vanishing and Lipschitz Constraint Jianlin Su GAN 35 25 0 18 Nov 2018
An Algorithmic Perspective on Imitation Learning Takayuki Osa Joni Pajarinen Gerhard Neumann J. Andrew Bagnell Pieter Abbeel Jan Peters 102 851 0 16 Nov 2018
Deep Knockoffs Yaniv Romano Matteo Sesia Emmanuel J. Candès BDL 86 143 0 16 Nov 2018
A domain agnostic measure for monitoring and evaluating GANs Paulina Grnarova Kfir Y. Levy Aurelien Lucchi Nathanael Perraudin Ian Goodfellow Thomas Hofmann Andreas Krause EGVM 119 8 0 13 Nov 2018
Learning Segmentation Masks with the Independence Prior Songmin Dai Xiaoqiang Li Lu Wang Pin Wu Weiqin Tong Yimin Chen ISeg GAN 64 3 0 12 Nov 2018
Training Generative Adversarial Networks with Weights Sufeng Duan D. Paul M. Fasoulakis Y. Stylianou GAN 37 6 0 06 Nov 2018
Kernel Exponential Family Estimation via Doubly Dual Embedding Heike Adel H. Dai Arthur Gretton Le Song Dale Schuurmans Niao He 79 36 0 06 Nov 2018
Improving GAN with neighbors embedding and gradient matching Ngoc-Trung Tran Tuan-Anh Bui Ngai-Man Cheung GAN 68 16 0 04 Nov 2018
Stochastic Neighbor Embedding under f-divergences Daniel Jiwoong Im Nakul Verma K. Branson FedML 80 20 0 03 Nov 2018
ATM:Adversarial-neural Topic Model Rui Wang Deyu Zhou Yulan He BDL GAN 99 92 0 01 Nov 2018
A Convex Duality Framework for GANs Farzan Farnia David Tse GAN 70 63 0 28 Oct 2018
Informative Features for Model Comparison Wittawat Jitkrittum Heishiro Kanagawa Patsorn Sangkloy James Hays Bernhard Schölkopf Arthur Gretton 70 27 0 27 Oct 2018
Scalable Unbalanced Optimal Transport using Generative Adversarial Networks Karren D. Yang Caroline Uhler GAN OT 101 76 0 26 Oct 2018
Training Generative Adversarial Networks Via Turing Test Jianlin Su GAN 44 5 0 25 Oct 2018
An Adversarial Learning Approach to Medical Image Synthesis for Lesion Detection Liyan Sun Jiexiang Wang Yue Huang Xinghao Ding H. Greenspan John Paisley GAN MedIm 67 109 0 25 Oct 2018
Metropolis-Hastings view on variational inference and adversarial training Kirill Neklyudov Evgenii Egorov Pavel Shvechikov Dmitry Vetrov GAN 83 13 0 16 Oct 2018