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
Generative Adversarial Networks (GANs): An Overview of Theoretical Model, Evaluation Metrics, and Recent Developments Pegah Salehi A. Chalechale M. Taghizadeh EGVM 45 40 0 27 May 2020
Image Restoration from Parametric Transformations using Generative Models Kalliopi Basioti G. Moustakides DiffM GAN 80 5 0 27 May 2020
TIPRDC: Task-Independent Privacy-Respecting Data Crowdsourcing Framework for Deep Learning with Anonymized Intermediate Representations Ang Li Yixiao Duan Huanrui Yang Yiran Chen Jianlei Yang 99 50 0 23 May 2020
Novel Human-Object Interaction Detection via Adversarial Domain Generalization Yuhang Song Wenbo Li Lei Zhang Jianwei Yang Emre Kıcıman Hamid Palangi Jianfeng Gao C.-C. Jay Kuo Pengchuan Zhang 58 5 0 22 May 2020
Sequential Recommendation with Self-Attentive Multi-Adversarial Network Ruiyang Ren Zhaoyang Liu Yaliang Li Wayne Xin Zhao Hongya Wang Bolin Ding Ji-Rong Wen GAN 50 108 0 21 May 2020
Regularization Methods for Generative Adversarial Networks: An Overview of Recent Studies Minhyeok Lee Junhee Seok GAN 88 26 0 19 May 2020
C-MI-GAN : Estimation of Conditional Mutual Information using MinMax formulation A. Mondal A. Bhattacharya Sudipto Mukherjee A. Prathosh Sreeram Kannan Himanshu Asnani 87 15 0 17 May 2020
On loss functions and regret bounds for multi-category classification Z. Tan Xinwei Zhang 39 1 0 17 May 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 586 2,052 0 04 May 2020
Generative Adversarial Networks (GANs Survey): Challenges, Solutions, and Future Directions Divya Saxena Jiannong Cao AAML AI4CE 158 308 0 30 Apr 2020
Robust Generative Adversarial Network Shufei Zhang Zhuang Qian Kaizhu Huang Jimin Xiao Yuan He 64 9 0 28 Apr 2020
Stabilizing Training of Generative Adversarial Nets via Langevin Stein Variational Gradient Descent Dong Wang Xiaoqian Qin F. Song Li Cheng GAN 109 22 0 22 Apr 2020
Decomposed Adversarial Learned Inference Alexander Hanbo Li Yaqing Wang Changyou Chen Jing Gao DRL 45 4 0 21 Apr 2020
Energy-Based Imitation Learning Minghuan Liu Tairan He Minkai Xu Weinan Zhang 118 48 0 20 Apr 2020
Towards GANs' Approximation Ability Xuejiao Liu Yao Xu Xueshuang Xiang 28 1 0 10 Apr 2020
Feature Quantization Improves GAN Training Yang Zhao Chunyuan Li Ping Yu Jianfeng Gao Changyou Chen MQ 82 47 0 05 Apr 2020
Discriminator Contrastive Divergence: Semi-Amortized Generative Modeling by Exploring Energy of the Discriminator Yuxuan Song Qiwei Ye Minkai Xu Tie-Yan Liu 67 8 0 05 Apr 2020
Learning Sparse Rewarded Tasks from Sub-Optimal Demonstrations Zhuangdi Zhu Kaixiang Lin Bo Dai Jiayu Zhou OffRL 54 14 0 01 Apr 2020
MIM-Based GAN: Information Metric to Amplify Small Probability Events Importance in Generative Adversarial Networks R. She Pingyi Fan GAN 41 0 0 25 Mar 2020
Unified Multi-Domain Learning and Data Imputation using Adversarial Autoencoder André Mendes Julian Togelius L. Coelho 45 2 0 15 Mar 2020
Mutual Information Maximization for Effective Lip Reading Xingyuan Zhao Shuang Yang Shiguang Shan Xilin Chen 74 59 0 13 Mar 2020
Generalized Energy Based Models Michael Arbel Liang Zhou Arthur Gretton DRL 184 81 0 10 Mar 2020
Training Deep Energy-Based Models with f-Divergence Minimization Lantao Yu Yang Song Jiaming Song Stefano Ermon 241 44 0 06 Mar 2020
GANs with Conditional Independence Graphs: On Subadditivity of Probability Divergences Mucong Ding C. Daskalakis Soheil Feizi GAN 45 2 0 02 Mar 2020
A U-Net Based Discriminator for Generative Adversarial Networks Edgar Schönfeld Bernt Schiele Anna Khoreva GAN 122 297 0 28 Feb 2020
DP-MERF: Differentially Private Mean Embeddings with Random Features for Practical Privacy-Preserving Data Generation Frederik Harder Kamil Adamczewski Mijung Park SyDa 154 101 0 26 Feb 2020
Analysis of Discriminator in RKHS Function Space for Kullback-Leibler Divergence Estimation S. Ghimire P. Gyawali Linwei Wang 30 0 0 25 Feb 2020
An end-to-end approach for the verification problem: learning the right distance João Monteiro Isabela Albuquerque Md. Jahangir Alam R. Devon Hjelm T. Falk 59 6 0 21 Feb 2020
Bidirectional Generative Modeling Using Adversarial Gradient Estimation Xinwei Shen Tong Zhang Kani Chen GAN 55 9 0 21 Feb 2020
GANs May Have No Nash Equilibria Farzan Farnia Asuman Ozdaglar GAN 80 43 0 21 Feb 2020
GenDICE: Generalized Offline Estimation of Stationary Values Ruiyi Zhang Bo Dai Lihong Li Dale Schuurmans OffRL 201 174 0 21 Feb 2020
A Novel Framework for Selection of GANs for an Application Tanya Motwani Manojkumar Somabhai Parmar 83 8 0 20 Feb 2020
The Benefits of Pairwise Discriminators for Adversarial Training Shangyuan Tong T. Garipov Tommi Jaakkola 23 0 0 20 Feb 2020
Bayesian Experimental Design for Implicit Models by Mutual Information Neural Estimation Steven Kleinegesse Michael U. Gutmann 89 66 0 19 Feb 2020
A unified framework for 21cm tomography sample generation and parameter inference with Progressively Growing GANs Florian List G. Lewis 53 14 0 19 Feb 2020
Posterior Ratio Estimation of Latent Variables Song Liu Yulong Zhang Mingxuan Yi Mladen Kolar 73 2 0 15 Feb 2020
Top-k Training of GANs: Improving GAN Performance by Throwing Away Bad Samples Samarth Sinha Zhengli Zhao Anirudh Goyal Colin Raffel Augustus Odena 88 7 0 14 Feb 2020
Smoothness and Stability in GANs Casey Chu Kentaro Minami Kenji Fukumizu GAN 67 56 0 11 Feb 2020
On Contrastive Learning for Likelihood-free Inference Conor Durkan Iain Murray George Papamakarios BDL 249 124 0 10 Feb 2020
Kullback-Leibler Divergence-Based Out-of-Distribution Detection with Flow-Based Generative Models Yufeng Zhang Jia Pan Wanwei Liu Zhenbang Chen Jing Wang Zhiming Liu KenLi Li H. Wei OODD DRL 100 2 0 09 Feb 2020
Learning Implicit Generative Models with Theoretical Guarantees Yuan Gao Jian Huang Yuling Jiao Jin Liu 66 7 0 07 Feb 2020
Graph Representation Learning via Graphical Mutual Information Maximization Zhen Peng Wenbing Huang Minnan Luo Q. Zheng Yu Rong Tingyang Xu Junzhou Huang SSL 167 587 0 04 Feb 2020
Limit Distribution for Smooth Total Variation and $χ^2$ -Divergence in High Dimensions Ziv Goldfeld Kengo Kato 80 7 0 03 Feb 2020
Designing GANs: A Likelihood Ratio Approach Kalliopi Basioti G. Moustakides GAN 35 2 0 03 Feb 2020
GradientDICE: Rethinking Generalized Offline Estimation of Stationary Values Shangtong Zhang Bo Liu Shimon Whiteson OffRL 135 103 0 29 Jan 2020
Expected Information Maximization: Using the I-Projection for Mixture Density Estimation P. Becker Oleg Arenz Gerhard Neumann 52 16 0 23 Jan 2020
Generalization Bounds and Representation Learning for Estimation of Potential Outcomes and Causal Effects Fredrik D. Johansson Uri Shalit Nathan Kallus David Sontag CML OOD 128 100 0 21 Jan 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications Jie Gui Zhenan Sun Yonggang Wen Dacheng Tao Jieping Ye EGVM 109 847 0 20 Jan 2020
microbatchGAN: Stimulating Diversity with Multi-Adversarial Discrimination Gonçalo Mordido Haojin Yang Christoph Meinel 54 22 0 10 Jan 2020
Guess First to Enable Better Compression and Adversarial Robustness Sicheng Zhu Bang An Shiyu Niu AAML 42 0 0 10 Jan 2020