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
Regularising Inverse Problems with Generative Machine Learning Models Margaret Duff Neill D. F. Campbell Matthias Joachim Ehrhardt GAN MedIm 67 38 0 22 Jul 2021
Conditional GANs with Auxiliary Discriminative Classifier Liang Hou Qi Cao Huawei Shen Siyuan Pan Xiaoshuang Li Xueqi Cheng GAN 61 35 0 21 Jul 2021
Group Contrastive Self-Supervised Learning on Graphs Xinyi Xu Cheng Deng Yaochen Xie Shuiwang Ji SSL 53 19 0 20 Jul 2021
Privacy-preserving Spatiotemporal Scenario Generation of Renewable Energies: A Federated Deep Generative Learning Approach Yang Li Jiazheng Li Yi Wang 89 159 0 16 Jul 2021
Towards quantifying information flows: relative entropy in deep neural networks and the renormalization group J. Erdmenger Kevin T. Grosvenor R. Jefferson 82 17 0 14 Jul 2021
Generative Adversarial Learning via Kernel Density Discrimination Abdelhak Lemkhenter Adam Bielski Alp Eren Sari Paolo Favaro GAN 58 0 0 13 Jul 2021
Hidden Convexity of Wasserstein GANs: Interpretable Generative Models with Closed-Form Solutions Arda Sahiner Tolga Ergen Batu Mehmet Ozturkler Burak Bartan John M. Pauly Morteza Mardani Mert Pilanci GAN 95 20 0 12 Jul 2021
Prb-GAN: A Probabilistic Framework for GAN Modelling Blessen George V. Kurmi Vinay P. Namboodiri GAN 64 0 0 12 Jul 2021
ViTGAN: Training GANs with Vision Transformers Kwonjoon Lee Huiwen Chang Lu Jiang Han Zhang Zhuowen Tu Ce Liu ViT 99 186 0 09 Jul 2021
Improving Model Robustness with Latent Distribution Locally and Globally Zhuang Qian Shufei Zhang Kaizhu Huang Qiufeng Wang Rui Zhang Xinping Yi AAML 73 14 0 08 Jul 2021
Generalization Error of GAN from the Discriminator's Perspective Hongkang Yang Weinan E GAN 100 14 0 08 Jul 2021
Discriminative Mutual Information Estimators for Channel Capacity Learning N. A. Letizia Andrea M. Tonello 48 5 0 07 Jul 2021
Solution of Physics-based Bayesian Inverse Problems with Deep Generative Priors Dhruv V. Patel Deep Ray Assad A. Oberai AI4CE 79 43 0 06 Jul 2021
Featurized Density Ratio Estimation Kristy Choi Madeline Liao Stefano Ermon TPM 74 24 0 05 Jul 2021
Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization Qing Guo Junya Chen Dong Wang Yuewei Yang Xinwei Deng Lawrence Carin Fan Li Jing-Zheng Huang Chenyang Tao 93 21 0 02 Jul 2021
How many moments does MMD compare? Rustem Takhanov 48 0 0 27 Jun 2021
From Canonical Correlation Analysis to Self-supervised Graph Neural Networks Hengrui Zhang Qitian Wu Junchi Yan David Wipf Philip S. Yu SSL 110 223 0 23 Jun 2021
f-Domain-Adversarial Learning: Theory and Algorithms David Acuna Guojun Zhang M. Law Sanja Fidler FedML AI4CE 74 62 0 21 Jun 2021
Deep Generative Learning via Schrödinger Bridge Gefei Wang Yuling Jiao Qiang Xu Yang Wang Can Yang DiffM OT 102 103 0 19 Jun 2021
Universal Rate-Distortion-Perception Representations for Lossy Compression George Zhang Jingjing Qian Jun Chen Ashish Khisti 90 68 0 18 Jun 2021
Novelty Detection via Contrastive Learning with Negative Data Augmentation Chengwei Chen Yuan Xie Shaohui Lin Ruizhi Qiao Jingren Zhou Xin Tan Yi Zhang Lizhuang Ma SSL 84 13 0 18 Jun 2021
KALE Flow: A Relaxed KL Gradient Flow for Probabilities with Disjoint Support Pierre Glaser Michael Arbel Arthur Gretton 131 40 0 16 Jun 2021
Self-Supervised GANs with Label Augmentation Liang Hou Huawei Shen Qi Cao Xueqi Cheng 86 18 0 16 Jun 2021
Evaluating Modules in Graph Contrastive Learning Ganqu Cui Y. Du Cheng Yang Jie Zhou Liang Xu Xing Zhou Lifeng Wang Zhiyuan Liu 59 4 0 15 Jun 2021
Reverse Engineering of Generative Models: Inferring Model Hyperparameters from Generated Images Vishal Asnani Xi Yin Tal Hassner Xiaoming Liu 103 73 0 15 Jun 2021
Improving Bridge estimators via $f$ -GAN Hanwen Xing OT 128 3 0 14 Jun 2021
A Decentralized Adaptive Momentum Method for Solving a Class of Min-Max Optimization Problems Babak Barazandeh Tianjian Huang George Michailidis 86 12 0 10 Jun 2021
Realizing GANs via a Tunable Loss Function Gowtham R. Kurri Tyler Sypherd Lalitha Sankar GAN 75 17 0 09 Jun 2021
Double Descent and Other Interpolation Phenomena in GANs Lorenzo Luzi Yehuda Dar Richard Baraniuk 72 5 0 07 Jun 2021
Measuring Conversational Uptake: A Case Study on Student-Teacher Interactions Dorottya Demszky Jing Liu Zid Mancenido Julie Cohen H. Hill Dan Jurafsky Tatsunori Hashimoto 127 67 0 07 Jun 2021
Diffusion-Based Representation Learning K. Abstreiter Sarthak Mittal Stefan Bauer Bernhard Schölkopf Arash Mehrjou DiffM 96 58 0 29 May 2021
Recent advances and clinical applications of deep learning in medical image analysis Xuxin Chen Ximing Wang Kecheng Zhang K. Fung T. Thai K. Moore Robert S. Mannel Hong Liu B. Zheng Y. Qiu OOD 138 616 0 27 May 2021
InfoFair: Information-Theoretic Intersectional Fairness Jian Kang Tiankai Xie Xintao Wu Ross Maciejewski Hanghang Tong FaML 64 20 0 24 May 2021
Unsupervised Deep Learning Methods for Biological Image Reconstruction and Enhancement Mehmet Akccakaya Burhaneddin Yaman Hyungjin Chung Jong Chul Ye MedIm 110 56 0 17 May 2021
Self-supervised Learning on Graphs: Contrastive, Generative,or Predictive Lirong Wu Haitao Lin Zhangyang Gao Cheng Tan Stan.Z.Li SSL 97 262 0 16 May 2021
On Characterizing GAN Convergence Through Proximal Duality Gap Sahil Sidheekh Aroof Aimen N. C. Krishnan 41 5 0 11 May 2021
Learning High-Dimensional Distributions with Latent Neural Fokker-Planck Kernels Yufan Zhou Changyou Chen Jinhui Xu 41 2 0 10 May 2021
Gradient-based Bayesian Experimental Design for Implicit Models using Mutual Information Lower Bounds Steven Kleinegesse Michael U. Gutmann FedML 79 25 0 10 May 2021
Generative Adversarial Networks via a Composite Annealing of Noise and Diffusion Kensuke Nakamura Simon Korman Byung-Woo Hong DiffM 50 2 0 01 May 2021
EigenGAN: Layer-Wise Eigen-Learning for GANs Zhenliang He Meina Kan Shiguang Shan GAN 115 51 0 26 Apr 2021
Generative Adversarial Network: Some Analytical Perspectives Haoyang Cao Xin Guo GAN 84 2 0 25 Apr 2021
An Adaptive Learning based Generative Adversarial Network for One-To-One Voice Conversion Sandipan Dhar N. D. Jana Swagatam Das 56 18 0 25 Apr 2021
Boltzmann Tuning of Generative Models Victor Berger Michele Sebag 57 0 0 12 Apr 2021
Regularizing Generative Adversarial Networks under Limited Data Hung-Yu Tseng Lu Jiang Ce Liu Ming-Hsuan Yang Weilong Yang GAN 132 145 0 07 Apr 2021
Generalization of GANs and overparameterized models under Lipschitz continuity Khoat Than Nghia D. Vu AI4CE 41 2 0 06 Apr 2021
AMP: Adversarial Motion Priors for Stylized Physics-Based Character Control Xue Bin Peng Ze Ma Pieter Abbeel Sergey Levine Angjoo Kanazawa 75 34 0 05 Apr 2021
PointShuffleNet: Learning Non-Euclidean Features with Homotopy Equivalence and Mutual Information Linchao He Mengting Luo Dejun Zhang Xiao Yang Hu Chen Yi Zhang 3DPC 47 0 0 31 Mar 2021
Learning Domain Invariant Representations for Generalizable Person Re-Identification Yi-Fan Zhang Zhang Zhang Da Li Zhen Jia Liang Wang Tieniu Tan OOD 120 44 0 29 Mar 2021
High-Fidelity and Arbitrary Face Editing Yue Gao Fangyun Wei Jianmin Bao Shuyang Gu Dong Chen Fang Wen Zheng Lian CVBM 74 66 0 29 Mar 2021
PeaceGAN: A GAN-based Multi-Task Learning Method for SAR Target Image Generation with a Pose Estimator and an Auxiliary Classifier Jihyong Oh Munchurl Kim GAN 51 20 0 29 Mar 2021