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
Learning Graph Representation by Aggregating Subgraphs via Mutual Information Maximization Chenguang Wang Ziwen Liu SSL 125 18 0 24 Mar 2021
Generative Minimization Networks: Training GANs Without Competition Paulina Grnarova Yannic Kilcher Kfir Y. Levy Aurelien Lucchi Thomas Hofmann GAN 37 6 0 23 Mar 2021
Unsupervised Two-Stage Anomaly Detection Yunfei Liu Chaoqun Zhuang Feng Lu 109 30 0 22 Mar 2021
Self-supervised Representation Learning with Relative Predictive Coding Yao-Hung Hubert Tsai Martin Q. Ma Muqiao Yang Han Zhao Louis-Philippe Morency Ruslan Salakhutdinov SSL AI4TS 101 38 0 21 Mar 2021
Exploring The Effect of High-frequency Components in GANs Training Ziqiang Li Pengfei Xia Xue Rui Bin Li GAN 91 20 0 20 Mar 2021
A Hybrid Gradient Method to Designing Bayesian Experiments for Implicit Models Jiaxin Zhang Sirui Bi Guannan Zhang 25 0 0 14 Mar 2021
A Scalable Gradient-Free Method for Bayesian Experimental Design with Implicit Models Jiaxin Zhang Sirui Bi Guannan Zhang 65 9 0 14 Mar 2021
Mean Field Game GAN Shaojun Ma Haomin Zhou H. Zha GAN AI4CE 69 0 0 14 Mar 2021
$Non-Asymptotic Performance Guarantees for Neural Estimation of $\mathsf{f}$-Divergences$ Non-Asymptotic Performance Guarantees for Neural Estimation of $\mathsf{f}$ -Divergences Sreejith Sreekumar Zhengxin Zhang Ziv Goldfeld FedML 72 18 0 11 Mar 2021
Cross-modal Image Retrieval with Deep Mutual Information Maximization Chunbin Gu Jiajun Bu Xixi Zhou Chengwei Yao Dongfang Ma Zhi Yu Xifeng Yan 59 16 0 10 Mar 2021
VideoMoCo: Contrastive Video Representation Learning with Temporally Adversarial Examples Tian Pan Yibing Song Tianyu Yang Wenhao Jiang Wei Liu 99 226 0 10 Mar 2021
Continual Density Ratio Estimation in an Online Setting Yu Chen Song Liu Tom Diethe Peter A. Flach 36 1 0 09 Mar 2021
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models Sam Bond-Taylor Adam Leach Yang Long Chris G. Willcocks VLM TPM 193 511 0 08 Mar 2021
Boosting Semi-supervised Image Segmentation with Global and Local Mutual Information Regularization Jizong Peng M. Pedersoli Christian Desrosiers SSL 82 21 0 08 Mar 2021
Posterior Meta-Replay for Continual Learning Christian Henning Maria R. Cervera Francesco DÁngelo J. Oswald Regina Traber Benjamin Ehret Seijin Kobayashi Benjamin Grewe João Sacramento CLL BDL 117 60 0 01 Mar 2021
Training Generative Adversarial Networks in One Stage Chengchao Shen Youtan Yin Xinchao Wang Xubin Li Mingli Song Xiuming Zhang GAN 111 13 0 28 Feb 2021
Adversarial Information Bottleneck Penglong Zhai Shihua Zhang AAML 57 8 0 28 Feb 2021
Off-Policy Imitation Learning from Observations Zhuangdi Zhu Kaixiang Lin Bo Dai Jiayu Zhou OffRL 66 86 0 25 Feb 2021
RCoNet: Deformable Mutual Information Maximization and High-order Uncertainty-aware Learning for Robust COVID-19 Detection Shunjie Dong Qianqian Yang Yu Fu Mei Tian Cheng Zhuo OOD 53 42 0 22 Feb 2021
Self-Supervised Learning of Graph Neural Networks: A Unified Review Yaochen Xie Zhao Xu Jingtun Zhang Zhengyang Wang Shuiwang Ji SSL 163 339 0 22 Feb 2021
Generative Speech Coding with Predictive Variance Regularization W. Kleijn Andrew Storus Michael Chinen Tom Denton Felicia S. C. Lim Alejandro Luebs Jan Skoglund Hengchin Yeh 68 68 0 18 Feb 2021
BORE: Bayesian Optimization by Density-Ratio Estimation Louis C. Tiao Aaron Klein Matthias Seeger Edwin V. Bonilla Cédric Archambeau F. Ramos 91 29 0 17 Feb 2021
Neural Posterior Regularization for Likelihood-Free Inference Dongjun Kim Kyungwoo Song Seung-Jae Shin Wanmo Kang Il-Chul Moon Weonyoung Joo 67 1 0 15 Feb 2021
On the Properties of Kullback-Leibler Divergence Between Multivariate Gaussian Distributions Yufeng Zhang Wanwei Liu Zhenbang Chen Ji Wang KenLi Li 128 26 0 10 Feb 2021
Negative Data Augmentation Abhishek Sinha Kumar Ayush Jiaming Song Burak Uzkent Hongxia Jin Stefano Ermon 86 76 0 09 Feb 2021
HGAN: Hybrid Generative Adversarial Network Seyed Mehdi Iranmanesh Nasser M. Nasrabadi GAN 40 4 0 07 Feb 2021
Rates of convergence for density estimation with generative adversarial networks Nikita Puchkin S. Samsonov Denis Belomestny Eric Moulines A. Naumov 123 11 0 30 Jan 2021
On the capacity of deep generative networks for approximating distributions Yunfei Yang Zhen Li Yang Wang 109 30 0 29 Jan 2021
Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation Pan Zhang Bo Zhang Ting Zhang Dong Chen Yong Wang Fang Wen 197 499 0 26 Jan 2021
SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism Qingyun Sun Jianxin Li Hao Peng Hongzhi Zhang Yuanxing Ning Phillip S. Yu Lifang He 71 168 0 20 Jan 2021
Robust W-GAN-Based Estimation Under Wasserstein Contamination Zheng Liu Po-Ling Loh 43 7 0 20 Jan 2021
DuelGAN: A Duel Between Two Discriminators Stabilizes the GAN Training Jiaheng Wei Minghao Liu Jiahao Luo Andrew Zhu James Davis Yang Liu GAN 162 12 0 19 Jan 2021
Disentangled Recurrent Wasserstein Autoencoder Jun Han Martin Renqiang Min Ligong Han Erran L. Li Xuan Zhang CoGe SyDa DRL 83 33 0 19 Jan 2021
DICE: Diversity in Deep Ensembles via Conditional Redundancy Adversarial Estimation Alexandre Ramé Matthieu Cord FedML 87 52 0 14 Jan 2021
Adversarial Machine Learning in Text Analysis and Generation I. Alsmadi AAML 114 5 0 14 Jan 2021
Solving Min-Max Optimization with Hidden Structure via Gradient Descent Ascent Lampros Flokas Emmanouil-Vasileios Vlatakis-Gkaragkounis Georgios Piliouras MLT 122 14 0 13 Jan 2021
How to Train Your Energy-Based Models Yang Song Diederik P. Kingma DiffM 106 265 0 09 Jan 2021
Privacy-Constrained Policies via Mutual Information Regularized Policy Gradients Chris Cundy Rishi Desai Stefano Ermon OffRL 127 4 0 30 Dec 2020
Learning Robust Representation for Clustering through Locality Preserving Variational Discriminative Network Ruixuan Luo Wei Li Zhiyuan Zhang Ruihan Bao Keiko Harimoto Xu Sun OOD DRL 39 1 0 25 Dec 2020
Leave Zero Out: Towards a No-Cross-Validation Approach for Model Selection Weikai Li Chuanxing Geng Songcan Chen 62 14 0 24 Dec 2020
Variational Transport: A Convergent Particle-BasedAlgorithm for Distributional Optimization Zhuoran Yang Yufeng Zhang Yongxin Chen Zhaoran Wang OT 91 5 0 21 Dec 2020
Artificial Dummies for Urban Dataset Augmentation Antonín Vobecký David Hurych Michal Uřičář P. Pérez Josef Sivic 3DH 43 15 0 15 Dec 2020
A case for new neural network smoothness constraints Mihaela Rosca T. Weber Arthur Gretton S. Mohamed AAML 145 50 0 14 Dec 2020
DEAAN: Disentangled Embedding and Adversarial Adaptation Network for Robust Speaker Representation Learning Mufan Sang Wei Xia John H. L. Hansen OOD DRL 94 23 0 12 Dec 2020
Generative Learning With Euler Particle Transport Yuan Gao Jian Huang Yuling Jiao Jin Liu Xiliang Lu J. Yang OT 67 2 0 11 Dec 2020
Slimmable Generative Adversarial Networks Liang Hou Zehuan Yuan Lei Huang Huawei Shen Xueqi Cheng Changhu Wang GAN AI4CE 65 40 0 10 Dec 2020
Bipartite Graph Embedding via Mutual Information Maximization Jiangxia Cao Xixun Lin Shu Guo Luchen Liu Tingwen Liu Bin Wang 135 113 0 10 Dec 2020
Offline Meta-level Model-based Reinforcement Learning Approach for Cold-Start Recommendation Yanan Wang Yong Ge Li Li Rui Chen Tong Xu OffRL 72 7 0 04 Dec 2020
Mutual Information Maximization on Disentangled Representations for Differential Morph Detection Sobhan Soleymani Ali Dabouei Fariborz Taherkhani J. Dawson Nasser M. Nasrabadi 75 27 0 02 Dec 2020
Generating private data with user customization Xiao Chen Thomas Navidi Ram Rajagopal 67 2 0 02 Dec 2020