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
Disentangling Label Distribution for Long-tailed Visual Recognition Youngkyu Hong Seungju Han Kwanghee Choi Seokjun Seo Beomsu Kim Buru Chang 91 238 0 01 Dec 2020
Learning geometry-image representation for 3D point cloud generation Lei Wang Yuchun Huang Pengjie Tao Yaolin Hou Yuxuan Liu 3DPC 44 2 0 29 Nov 2020
CircleGAN: Generative Adversarial Learning across Spherical Circles Woohyeon Shim Minsu Cho GAN 52 9 0 25 Nov 2020
SCGAN: Saliency Map-guided Colorization with Generative Adversarial Network Yuzhi Zhao L. Po K. Cheung Weikang Yu Yasar Abbas Ur Rehman GAN 77 57 0 23 Nov 2020
Geometry-Aware Universal Mirror-Prox Reza Babanezhad Simon Lacoste-Julien 59 4 0 23 Nov 2020
Reducing the Variance of Variational Estimates of Mutual Information by Limiting the Critic's Hypothesis Space to RKHS P. A. Sreekar Ujjwal Tiwari A. Namboodiri 44 2 0 17 Nov 2020
Mutual Information Based Method for Unsupervised Disentanglement of Video Representation Aditya Sreekar Ujjwal Tiwari A. Namboodiri DRL 116 4 0 17 Nov 2020
Combating the Instability of Mutual Information-based Losses via Regularization Kwanghee Choi Siyeong Lee AAML 62 4 0 16 Nov 2020
Power System Event Identification based on Deep Neural Network with Information Loading Jie Shi Brandon Foggo N. Yu 57 36 0 13 Nov 2020
$(f,Γ)$ -Divergences: Interpolating between $f$ -Divergences and Integral Probability Metrics Jeremiah Birrell P. Dupuis Markos A. Katsoulakis Yannis Pantazis Luc Rey-Bellet 73 8 0 11 Nov 2020
Towards a Better Global Loss Landscape of GANs Ruoyu Sun Tiantian Fang Alex Schwing GAN 71 26 0 10 Nov 2020
f-IRL: Inverse Reinforcement Learning via State Marginal Matching Tianwei Ni Harshit S. Sikchi Yufei Wang Tejus Gupta Lisa Lee Benjamin Eysenbach 93 73 0 09 Nov 2020
When Optimizing $f$ -divergence is Robust with Label Noise Jiaheng Wei Yang Liu 78 55 0 07 Nov 2020
On the Convergence of Gradient Descent in GANs: MMD GAN As a Gradient Flow Youssef Mroueh Truyen V. Nguyen 72 25 0 04 Nov 2020
Generating Unobserved Alternatives Shichong Peng Ke Li 102 4 0 03 Nov 2020
Sampling and Recovery of Graph Signals based on Graph Neural Networks Siheng Chen Maosen Li Ya Zhang 144 4 0 03 Nov 2020
Hyperbolic Graph Embedding with Enhanced Semi-Implicit Variational Inference Ali Lotfi-Rezaabad Rahi Kalantari S. Vishwanath Mingyuan Zhou Jonathan I. Tamir 37 2 0 31 Oct 2020
Teaching a GAN What Not to Learn Siddarth Asokan C. Seelamantula GAN 67 19 0 29 Oct 2020
GENs: Generative Encoding Networks Surojit Saha Shireen Y. Elhabian Ross T. Whitaker GAN 58 9 0 28 Oct 2020
Generative Adversarial Networks in Human Emotion Synthesis:A Review Noushin Hajarolasvadi M. A. Ramírez H. Demirel GAN 71 22 0 28 Oct 2020
Generative Temporal Difference Learning for Infinite-Horizon Prediction Michael Janner Igor Mordatch Sergey Levine AI4CE 79 35 0 27 Oct 2020
Error Bounds of Imitating Policies and Environments Tian Xu Ziniu Li Yang Yu 97 121 0 22 Oct 2020
Neural Approximate Sufficient Statistics for Implicit Models Yanzhi Chen Dinghuai Zhang Michael U. Gutmann Aaron Courville Zhanxing Zhu 423 85 0 20 Oct 2020
Imitation with Neural Density Models Kuno Kim Akshat Jindal Yang Song Jiaming Song Yanan Sui Stefano Ermon 84 13 0 19 Oct 2020
Non-saturating GAN training as divergence minimization Matt Shannon Ben Poole Soroosh Mariooryad Tom Bagby Eric Battenberg David Kao Daisy Stanton RJ Skerry-Ryan GAN 67 17 0 15 Oct 2020
An Empowerment-based Solution to Robotic Manipulation Tasks with Sparse Rewards Siyu Dai Wenyuan Xu Andreas G. Hofmann B. Williams 97 8 0 15 Oct 2020
Conditioning Trick for Training Stable GANs Mohammad Esmaeilpour Raymel Alfonso Sallo Olivier St-Georges P. Cardinal Alessandro Lameiras Koerich 41 0 0 12 Oct 2020
Graph Information Bottleneck for Subgraph Recognition Junchi Yu Tingyang Xu Yu Rong Yatao Bian Junzhou Huang Ran He 71 157 0 12 Oct 2020
Contrastive Representation Learning: A Framework and Review Phúc H. Lê Khắc Graham Healy Alan F. Smeaton SSL AI4TS 334 723 0 10 Oct 2020
Contrastive Learning with Hard Negative Samples Joshua Robinson Ching-Yao Chuang S. Sra Stefanie Jegelka SSL 176 792 0 09 Oct 2020
Safety Aware Reinforcement Learning (SARL) Santiago Miret Somdeb Majumdar Carroll L. Wainwright 69 1 0 06 Oct 2020
Graph Cross Networks with Vertex Infomax Pooling Maosen Li Siheng Chen Ya Zhang Ivor W. Tsang 121 60 0 05 Oct 2020
Spatial Frequency Bias in Convolutional Generative Adversarial Networks Mahyar Khayatkhoei Ahmed Elgammal GAN 102 46 0 04 Oct 2020
Assisting the Adversary to Improve GAN Training Andreas Munk William Harvey Frank Wood GAN 35 0 0 03 Oct 2020
$f$ -GAIL: Learning $f$ -Divergence for Generative Adversarial Imitation Learning Xin Zhang Jun Luo Ziming Zhang Zhi-Li Zhang 58 34 0 02 Oct 2020
f-Divergence Variational Inference Neng Wan Dapeng Li N. Hovakimyan 117 35 0 28 Sep 2020
Iterative Reconstruction for Low-Dose CT using Deep Gradient Priors of Generative Model Zhuonan He Yikun Zhang Yu Guan S. Niu Yi Zhang Yang Chen Qiegen Liu DiffM MedIm 93 12 0 27 Sep 2020
An Unsupervised Sentence Embedding Method by Mutual Information Maximization Yan Zhang Ruidan He Zuozhu Liu Kwan Hui Lim Lidong Bing SSL 118 180 0 25 Sep 2020
GANs with Variational Entropy Regularizers: Applications in Mitigating the Mode-Collapse Issue Pirazh Khorramshahi Hossein Souri Ramalingam Chellappa Soheil Feizi GAN DRL 56 5 0 24 Sep 2020
Novel and flexible parameter estimation methods for data-consistent inversion in mechanistic modeling Timothy Rumbell Jaimit Parikh J. Kozloski V. Gurev 66 6 0 17 Sep 2020
not-so-BigGAN: Generating High-Fidelity Images on Small Compute with Wavelet-based Super-Resolution Seung-Jun Han Akash Srivastava C. Hurwitz P. Sattigeri David D. Cox 61 8 0 09 Sep 2020
Unsupervised Change Detection in Satellite Images with Generative Adversarial Network Caijun Ren Xiangyu Wang Jian Gao Huanhuan Chen GAN 52 52 0 08 Sep 2020
DCTRGAN: Improving the Precision of Generative Models with Reweighting S. Diefenbacher E. Eren Gregor Kasieczka A. Korol Benjamin Nachman David Shih 80 44 0 03 Sep 2020
Properties of f-divergences and f-GAN training Matt Shannon AI4CE 39 4 0 02 Sep 2020
A Mathematical Introduction to Generative Adversarial Nets (GAN) Yang Wang AI4CE GAN 57 26 0 01 Sep 2020
Accelerated WGAN update strategy with loss change rate balancing Ouyang Xu G. Agam 29 0 0 28 Aug 2020
MPCC: Matching Priors and Conditionals for Clustering N. Astorga P. Huijse P. Protopapas P. Estévez 32 2 0 21 Aug 2020
A Systematic Survey of Regularization and Normalization in GANs Ziqiang Li Muhammad Usman Rentuo Tao Pengfei Xia Xintian Wu Huanhuan Chen Bin Li 80 53 0 19 Aug 2020
A New Perspective on Stabilizing GANs training: Direct Adversarial Training Ziqiang Li Pengfei Xia Rentuo Tao Hongjing Niu Bin Li GAN 107 33 0 19 Aug 2020
Generative Adversarial Networks for Spatio-temporal Data: A Survey Nan Gao Hao Xue Wei Shao Sichen Zhao K. K. Qin Arian Prabowo Mohammad Saiedur Rahaman Flora D. Salim GAN AI4TS AI4CE 118 111 0 18 Aug 2020