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
Generate High Resolution Images With Generative Variational Autoencoder Abhinav Sagar GAN DRL 46 3 0 12 Aug 2020
Improving Stability of LS-GANs for Audio and Speech Signals Mohammad Esmaeilpour Raymel Alfonso Sallo Olivier St-Georges P. Cardinal Alessandro Lameiras Koerich 26 0 0 12 Aug 2020
DTVNet+: A High-Resolution Scenic Dataset for Dynamic Time-lapse Video Generation Jiangning Zhang Chaoxi Xu Yong-Jin Liu Yunliang Jiang DiffM 54 1 0 11 Aug 2020
Multimodal Image-to-Image Translation via Mutual Information Estimation and Maximization Zhiwen Zuo Lei Zhao Zhizhong Wang Haibo Chen Ailin Li Qijiang Xu Wei Xing Dongming Lu GAN 97 0 0 08 Aug 2020
Non-Adversarial Imitation Learning and its Connections to Adversarial Methods Oleg Arenz Gerhard Neumann GAN 55 19 0 08 Aug 2020
Generative Adversarial Networks for Image and Video Synthesis: Algorithms and Applications Xuan Li Xun Huang Jiahui Yu Ting-Chun Wang Arun Mallya GAN 170 155 0 06 Aug 2020
GL-GAN: Adaptive Global and Local Bilevel Optimization model of Image Generation Y. Liu Wenhong Cai Xiaohui Yuan Jinhai Xiang 48 3 0 06 Aug 2020
$Beyond $\mathcal{H}$-Divergence: Domain Adaptation Theory With Jensen-Shannon Divergence$ Beyond $\mathcal{H}$ -Divergence: Domain Adaptation Theory With Jensen-Shannon Divergence Changjian Shui Qi Chen Jun Wen Fan Zhou Christian Gagné Boyu Wang 97 23 0 30 Jul 2020
Generalization Properties of Optimal Transport GANs with Latent Distribution Learning Giulia Luise Massimiliano Pontil C. Ciliberto GAN OT 66 22 0 29 Jul 2020
$Generative networks as inverse problems with fractional wavelet scattering networks$ Generative networks as inverse problems with fractional wavelet scattering networks Jiasong Wu Jing Zhang Fuzhi Wu Youyong Kong Guanyu Yang L. Senhadji H. Shu GAN 52 1 0 28 Jul 2020
Efficient Generation of Structured Objects with Constrained Adversarial Networks Luca Di Liello Pierfrancesco Ardino Jacopo Gobbi Paolo Morettin Stefano Teso Andrea Passerini GAN 77 32 0 26 Jul 2020
Learning latent representations across multiple data domains using Lifelong VAEGAN Fei Ye A. Bors SyDa CLL 68 67 0 20 Jul 2020
Deep Image Clustering with Category-Style Representation Junjie Zhao Donghuan Lu Kai Ma Yu Zhang Yefeng Zheng 54 31 0 20 Jul 2020
Bridging Maximum Likelihood and Adversarial Learning via $α$ -Divergence Miaoyun Zhao Yulai Cong Shuyang Dai Lawrence Carin GAN 60 10 0 13 Jul 2020
An Adversarial Approach to Structural Estimation Tetsuya Kaji E. Manresa G. Pouliot 94 32 0 13 Jul 2020
Improving Maximum Likelihood Training for Text Generation with Density Ratio Estimation Yuxuan Song Ning Miao Hao Zhou Lantao Yu Mingxuan Wang Lei Li 67 7 0 12 Jul 2020
Improving the Robustness of Trading Strategy Backtesting with Boltzmann Machines and Generative Adversarial Networks Edmond Lezmi Jules Roche T. Roncalli Jiali Xu 49 6 0 09 Jul 2020
InfoMax-GAN: Improved Adversarial Image Generation via Information Maximization and Contrastive Learning Kwot Sin Lee Ngoc-Trung Tran Ngai-Man Cheung GAN 90 69 0 09 Jul 2020
Generalised Bayes Updates with $f$ -divergences through Probabilistic Classifiers Owen Thomas Henri Pesonen J. Corander FedML 65 2 0 08 Jul 2020
Variational Representations and Neural Network Estimation of Rényi Divergences Jeremiah Birrell P. Dupuis Markos A. Katsoulakis Luc Rey-Bellet Jie Wang 85 33 0 07 Jul 2020
Hierarchical and Unsupervised Graph Representation Learning with Loukas's Coarsening Louis Bethune Yacouba Kaloga Pierre Borgnat Aurélien Garivier Amaury Habrard 31 3 0 07 Jul 2020
Kernel Stein Generative Modeling Wei-Cheng Chang Chun-Liang Li Youssef Mroueh Yiming Yang DiffM BDL 122 5 0 06 Jul 2020
Age-Oriented Face Synthesis with Conditional Discriminator Pool and Adversarial Triplet Loss Haoyi Wang Victor Sanchez Chang-Tsun Li GAN CVBM 80 12 0 01 Jul 2020
Continual Learning: Tackling Catastrophic Forgetting in Deep Neural Networks with Replay Processes Timothée Lesort CLL 85 22 0 01 Jul 2020
When Will Generative Adversarial Imitation Learning Algorithms Attain Global Convergence Ziwei Guan Tengyu Xu Yingbin Liang 76 16 0 24 Jun 2020
ContraGAN: Contrastive Learning for Conditional Image Generation Minguk Kang Jaesik Park GAN 76 2 0 23 Jun 2020
Telescoping Density-Ratio Estimation Benjamin Rhodes Kai Xu Michael U. Gutmann 184 97 0 22 Jun 2020
On the Theoretical Equivalence of Several Trade-Off Curves Assessing Statistical Proximity Rodrigue Siry Ryan Webster Loïc Simon Julien Rabin 65 5 0 21 Jun 2020
Online Kernel based Generative Adversarial Networks Yeojoon Youn Neil Thistlethwaite Sang Keun Choe Jacob D. Abernethy GAN 36 2 0 19 Jun 2020
Learning to infer in recurrent biological networks Ari S. Benjamin Konrad Paul Kording SSL DRL 53 1 0 18 Jun 2020
Reparameterized Variational Divergence Minimization for Stable Imitation Dilip Arumugam Debadeepta Dey Alekh Agarwal Asli Celikyilmaz E. Nouri W. Dolan 50 3 0 18 Jun 2020
MMCGAN: Generative Adversarial Network with Explicit Manifold Prior Guanhua Zheng Jitao Sang Changsheng Xu GAN 36 1 0 18 Jun 2020
Optimizing Variational Representations of Divergences and Accelerating their Statistical Estimation Jeremiah Birrell Markos A. Katsoulakis Yannis Pantazis 50 22 0 15 Jun 2020
COT-GAN: Generating Sequential Data via Causal Optimal Transport Tianlin Xu L. Wenliang Michael Munn Beatrice Acciaio GAN CML 89 99 0 15 Jun 2020
Self-supervised Learning: Generative or Contrastive Xiao Liu Fanjin Zhang Zhenyu Hou Zhaoyu Wang Li Mian Jing Zhang Jie Tang SSL 223 1,650 0 15 Jun 2020
FedGAN: Federated Generative Adversarial Networks for Distributed Data M. Rasouli Tao Sun Ram Rajagopal FedML 106 145 0 12 Jun 2020
Non-Negative Bregman Divergence Minimization for Deep Direct Density Ratio Estimation Masahiro Kato Takeshi Teshima 96 36 0 12 Jun 2020
Improving GAN Training with Probability Ratio Clipping and Sample Reweighting Yue Wu Pan Zhou A. Wilson Eric Xing Zhiting Hu GAN 118 36 0 12 Jun 2020
Conditional Sampling with Monotone GANs: from Generative Models to Likelihood-Free Inference Ricardo Baptista Bamdad Hosseini Nikola B. Kovachki Youssef Marzouk OT GAN 109 24 0 11 Jun 2020
Cumulant GAN Yannis Pantazis D. Paul M. Fasoulakis Y. Stylianou Markos A. Katsoulakis GAN 101 18 0 11 Jun 2020
Robust model training and generalisation with Studentising flows Simon Alexanderson G. Henter OOD 57 14 0 11 Jun 2020
Exploring Category-Agnostic Clusters for Open-Set Domain Adaptation Yingwei Pan Ting Yao Yehao Li Chong-Wah Ngo Tao Mei 79 72 0 11 Jun 2020
Optimal Bounds between $f$ -Divergences and Integral Probability Metrics R. Agrawal Thibaut Horel 100 39 0 10 Jun 2020
Deep Dimension Reduction for Supervised Representation Learning Jian Huang Yuling Jiao Xu Liao Jin Liu Zhou Yu DRL 48 16 0 10 Jun 2020
To Regularize or Not To Regularize? The Bias Variance Trade-off in Regularized AEs A. Mondal Himanshu Asnani Parag Singla A. Prathosh DRL 42 1 0 10 Jun 2020
Contrastive Multi-View Representation Learning on Graphs Kaveh Hassani Amir Hosein Khas Ahmadi SSL 268 1,312 0 10 Jun 2020
Neural Methods for Point-wise Dependency Estimation Yao-Hung Hubert Tsai Han Zhao M. Yamada Louis-Philippe Morency Ruslan Salakhutdinov 97 33 0 09 Jun 2020
Learning to Stop While Learning to Predict Xinshi Chen H. Dai Yu Li Xin Gao Le Song OOD 76 48 0 09 Jun 2020
Distributional Robustness with IPMs and links to Regularization and GANs Hisham Husain 70 22 0 08 Jun 2020
Least $k$ th-Order and Rényi Generative Adversarial Networks Himesh Bhatia William Paul F. Alajaji Bahman Gharesifard Philippe Burlina GAN 68 8 0 03 Jun 2020