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
The Counterfactual $χ$ -GAN A. Averitt Natnicha Vanitchanant Rajesh Ranganath A. Perotte CML BDL 28 8 0 09 Jan 2020
Learning Generative Models using Denoising Density Estimators Siavash Bigdeli Geng Lin Tiziano Portenier L. A. Dunbar Matthias Zwicker DiffM 108 16 0 08 Jan 2020
Reinforcement Learning via Fenchel-Rockafellar Duality Ofir Nachum Bo Dai OffRL 172 123 0 07 Jan 2020
Alleviation of Gradient Exploding in GANs: Fake Can Be Real Song Tao Jia Wang GAN 69 18 0 28 Dec 2019
Learning Representations by Maximizing Mutual Information in Variational Autoencoders Ali Lotfi-Rezaabad S. Vishwanath DRL SSL 50 40 0 21 Dec 2019
Adversarial symmetric GANs: bridging adversarial samples and adversarial networks Faqiang Liu M. Xu Guoqi Li Jing Pei Luping Shi R. Zhao AAML GAN 36 11 0 20 Dec 2019
Lower Dimensional Kernels for Video Discriminators Emmanuel Kahembwe S. Ramamoorthy 94 51 0 18 Dec 2019
Image Manipulation with Natural Language using Two-sidedAttentive Conditional Generative Adversarial Network D. Zhu Aditya Mogadala Dietrich Klakow GAN 43 8 0 16 Dec 2019
Brain-Inspired Inference on Missing Video Sequence Weimian Li Baoyang Chen Wenmin Wang 20 0 0 15 Dec 2019
Multimodal Generative Models for Compositional Representation Learning Mike Wu Noah D. Goodman GAN DRL 97 17 0 11 Dec 2019
cGANs with Multi-Hinge Loss Ilya Kavalerov W. Czaja Rama Chellappa GAN AI4CE 75 23 0 09 Dec 2019
Informative GANs via Structured Regularization of Optimal Transport Pierre Bréchet Tao Wu Thomas Möllenhoff Zorah Lähner OT 15 0 0 04 Dec 2019
LOGAN: Latent Optimisation for Generative Adversarial Networks Yongpeng Wu Jeff Donahue David Balduzzi Karen Simonyan Timothy Lillicrap GAN 108 88 0 02 Dec 2019
Information bottleneck through variational glasses Svyatoslav Voloshynovskiy Mouad Kondah Shideh Rezaeifar O. Taran T. Holotyak Danilo Jimenez Rezende GAN DRL 70 34 0 02 Dec 2019
Behavior Regularized Offline Reinforcement Learning Yifan Wu George Tucker Ofir Nachum OffRL 150 692 0 26 Nov 2019
State Alignment-based Imitation Learning Fangchen Liu Z. Ling Tongzhou Mu Hao Su 72 93 0 21 Nov 2019
Enforcing Deterministic Constraints on Generative Adversarial Networks for Emulating Physical Systems Zeng Yang Jin-Long Wu Heng Xiao AI4CE 86 17 0 15 Nov 2019
Conditional Mutual Information Neural Estimator Sina Molavipour Germán Bassi Mikael Skoglund 122 14 0 06 Nov 2019
A Divergence Minimization Perspective on Imitation Learning Methods Seyed Kamyar Seyed Ghasemipour R. Zemel S. Gu 91 251 0 06 Nov 2019
Improved BiGAN training with marginal likelihood equalization Pablo Sánchez-Martín Pablo M. Olmos Fernando Perez-Cruz GAN 33 2 0 04 Nov 2019
Digital phase-only holography using deep conditional generative models Jannes Gladrow 35 2 0 03 Nov 2019
Adversarial Fisher Vectors for Unsupervised Representation Learning Shuangfei Zhai Walter A. Talbott Carlos Guestrin J. Susskind GAN 105 9 0 29 Oct 2019
Fair Generative Modeling via Weak Supervision Kristy Choi Aditya Grover Trisha Singh Rui Shu Stefano Ermon 120 137 0 26 Oct 2019
Bridging the Gap Between $f$ -GANs and Wasserstein GANs Jiaming Song Stefano Ermon 107 40 0 22 Oct 2019
Mining GOLD Samples for Conditional GANs Sangwoo Mo Chiheon Kim Sungwoong Kim Minsu Cho Jinwoo Shin GAN AI4CE 78 20 0 21 Oct 2019
Learning GANs and Ensembles Using Discrepancy Ben Adlam Corinna Cortes M. Mohri Ningshan Zhang 49 5 0 20 Oct 2019
A Mutual Information Maximization Perspective of Language Representation Learning Lingpeng Kong Cyprien de Masson dÁutume Wang Ling Lei Yu Zihang Dai Dani Yogatama SSL 297 167 0 18 Oct 2019
Mutual Information-driven Subject-invariant and Class-relevant Deep Representation Learning in BCI Eunjin Jeon Wonjun Ko Jee Seok Yoon Heung-Il Suk OOD 54 0 0 17 Oct 2019
Discriminator optimal transport A. Tanaka OT 73 54 0 15 Oct 2019
Understanding the Limitations of Variational Mutual Information Estimators Jiaming Song Stefano Ermon SSL DRL 85 204 0 14 Oct 2019
Implicit competitive regularization in GANs Florian Schäfer Hongkai Zheng Anima Anandkumar GAN 86 35 0 13 Oct 2019
Imitation Learning from Observations by Minimizing Inverse Dynamics Disagreement Chao Yang Xiaojian Ma Wenbing Huang F. Sun Huaping Liu Junzhou Huang Chuang Gan 119 71 0 10 Oct 2019
Prescribed Generative Adversarial Networks Adji Bousso Dieng Francisco J. R. Ruiz David M. Blei Michalis K. Titsias GAN DRL 83 62 0 09 Oct 2019
Sample Elicitation Jiaheng Wei Zuyue Fu Yang Liu Xingyu Li Zhuoran Yang Zhaoran Wang SyDa 219 0 0 08 Oct 2019
Irregular Convolutional Auto-Encoder on Point Clouds Yuhui Zhang G. Gutmann Konagaya Akihiko 3DPC 37 2 0 07 Oct 2019
Stabilizing Generative Adversarial Networks: A Survey Maciej Wiatrak Stefano V. Albrecht A. Nystrom GAN 134 88 0 30 Sep 2019
Understanding and Stabilizing GANs' Training Dynamics with Control Theory Kun Xu Chongxuan Li Jun Zhu Bo Zhang GAN 75 10 0 29 Sep 2019
Wasserstein-2 Generative Networks Alexander Korotin Vage Egiazarian Arip Asadulaev Alexander Safin Evgeny Burnaev GAN 257 109 0 28 Sep 2019
A Mean-Field Theory for Kernel Alignment with Random Features in Generative and Discriminative Models M. B. Khuzani Liyue Shen Shahin Shahrampour Lei Xing 50 1 0 25 Sep 2019
Classification Logit Two-sample Testing by Neural Networks Xiuyuan Cheng A. Cloninger 89 33 0 25 Sep 2019
DGSAN: Discrete Generative Self-Adversarial Network Ehsan Montahaei Danial Alihosseini M. Baghshah 49 14 0 24 Aug 2019
Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection Bingzhe Wu Shiwan Zhao Chaochao Chen Haoyang Xu Li Wang Xiaolu Zhang Guangyu Sun Jun Zhou 52 45 0 21 Aug 2019
A survey on intrinsic motivation in reinforcement learning A. Aubret L. Matignon S. Hassas AI4CE 121 144 0 19 Aug 2019
PolyGAN: High-Order Polynomial Generators Grigorios G. Chrysos Stylianos Moschoglou Yannis Panagakis Stefanos Zafeiriou GAN 66 18 0 19 Aug 2019
Learning Deep Representations by Mutual Information for Person Re-identification Peng Chen Tong Jia Pengfei Wu Jianjun Wu Dongyue Chen SSL 95 5 0 16 Aug 2019
On Mutual Information Maximization for Representation Learning Michael Tschannen Josip Djolonga Paul Kishan Rubenstein Sylvain Gelly Mario Lucic SSL 206 502 0 31 Jul 2019
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization Fan-Yun Sun Jordan Hoffmann Vikas Verma Jian Tang SSL 188 868 0 31 Jul 2019
Variational f-divergence Minimization Mingtian Zhang Thomas Bird Raza Habib Tianlin Xu David Barber FedML 61 29 0 27 Jul 2019
UGAN: Untraceable GAN for Multi-Domain Face Translation Defa Zhu Si Liu Wentao Jiang Chen Gao Tianyi Wu Qaingchang Wang G. Guo ViT CVBM 67 17 0 26 Jul 2019
Node Attribute Generation on Graphs Xu Chen Siheng Chen Huangjie Zheng Jiangchao Yao Kenan Cui Ya Zhang Ivor W. Tsang 34 2 0 23 Jul 2019