MMD GAN: Towards Deeper Understanding of Moment Matching Network

24 May 2017

Chun-Liang Li

Papers citing "MMD GAN: Towards Deeper Understanding of Moment Matching Network"

50 / 160 papers shown

Title
Smoothness and Stability in GANs Casey Chu Kentaro Minami Kenji Fukumizu GAN 24 56 0 11 Feb 2020
Simulation of electron-proton scattering events by a Feature-Augmented and Transformed Generative Adversarial Network (FAT-GAN) Yasir Alanazi Nobuo Sato Tianbo Liu W. Melnitchouk P. Ambrozewicz ... E. Pritchard M. Robertson R. Strauss L. Velasco Yaohang Li GAN 32 63 0 29 Jan 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications Jie Gui Zhenan Sun Yonggang Wen Dacheng Tao Jieping Ye EGVM 33 821 0 20 Jan 2020
Towards GAN Benchmarks Which Require Generalization Ishaan Gulrajani Colin Raffel Luke Metz 24 57 0 10 Jan 2020
On Computation and Generalization of Generative Adversarial Imitation Learning Minshuo Chen Yizhou Wang Tianyi Liu Zhuoran Yang Xingguo Li Zhaoran Wang T. Zhao 37 40 0 09 Jan 2020
Self-supervised GAN: Analysis and Improvement with Multi-class Minimax Game Ngoc-Trung Tran Viet-Hung Tran Ngoc-Bao Nguyen Linxiao Yang Ngai-man Cheung SSL GAN 23 60 0 16 Nov 2019
Small-GAN: Speeding Up GAN Training Using Core-sets Samarth Sinha Hang Zhang Anirudh Goyal Yoshua Bengio Hugo Larochelle Augustus Odena GAN 38 72 0 29 Oct 2019
Adversarial Fisher Vectors for Unsupervised Representation Learning Shuangfei Zhai Walter A. Talbott Carlos Guestrin J. Susskind GAN 22 9 0 29 Oct 2019
Fair Generative Modeling via Weak Supervision Kristy Choi Aditya Grover Trisha Singh Rui Shu Stefano Ermon 36 133 0 26 Oct 2019
Bridging the Gap Between $f$ -GANs and Wasserstein GANs Jiaming Song Stefano Ermon 25 40 0 22 Oct 2019
Two-sample Testing Using Deep Learning Matthias Kirchler S. Khorasani Marius Kloft C. Lippert 16 38 0 14 Oct 2019
Stabilizing Generative Adversarial Networks: A Survey Maciej Wiatrak Stefano V. Albrecht A. Nystrom GAN 29 84 0 30 Sep 2019
Wasserstein-2 Generative Networks Alexander Korotin Vage Egiazarian Arip Asadulaev Alexander Safin E. Burnaev GAN 131 101 0 28 Sep 2019
Subsampling Generative Adversarial Networks: Density Ratio Estimation in Feature Space with Softplus Loss Xin Ding Z. Jane Wang William J. Welch 21 18 0 24 Sep 2019
$Comparing distributions: $\ell_1$ geometry improves kernel two-sample testing$ Comparing distributions: $\ell_1$ geometry improves kernel two-sample testing M. Scetbon Gaël Varoquaux 25 10 0 19 Sep 2019
DeepScaffold: a comprehensive tool for scaffold-based de novo drug discovery using deep learning Yibo Li Jianxing Hu Yanxing Wang Jielong Zhou L. Zhang Zhenming Liu 30 92 0 20 Aug 2019
Deep Kernel Learning for Clustering Chieh-Tsai Wu Zulqarnain Khan Yale Chang Stratis Ioannidis Jennifer Dy 104 13 0 09 Aug 2019
Twin Auxiliary Classifiers GAN Biwei Huang Yanwu Xu Chunyuan Li Kuncai Zhang Kayhan Batmanghelich 16 33 0 05 Jul 2019
Statistical Inference for Generative Models with Maximum Mean Discrepancy François‐Xavier Briol Alessandro Barp Andrew B. Duncan Mark Girolami 27 70 0 13 Jun 2019
Maximum Mean Discrepancy Gradient Flow Michael Arbel Anna Korba Adil Salim Arthur Gretton 27 159 0 11 Jun 2019
Kernel Conditional Density Operators Ingmar Schuster Mattes Mollenhauer Stefan Klus Krikamol Muandet 30 25 0 27 May 2019
The Shape of Data: Intrinsic Distance for Data Distributions Anton Tsitsulin Marina Munkhoeva Davide Mottin Panagiotis Karras A. Bronstein Ivan Oseledets Emmanuel Müller 23 52 0 27 May 2019
Kernel Mean Matching for Content Addressability of GANs Wittawat Jitkrittum Patsorn Sangkloy Muhammad Waleed Gondal Amit Raj James Hays Bernhard Schölkopf GAN BDL 32 9 0 14 May 2019
Flat Metric Minimization with Applications in Generative Modeling Thomas Möllenhoff Daniel Cremers 17 5 0 12 May 2019
Meta-Sim: Learning to Generate Synthetic Datasets Amlan Kar Aayush Prakash Ming Liu Eric Cameracci Justin Yuan Matt Rusiniak David Acuna Antonio Torralba Sanja Fidler 22 248 0 25 Apr 2019
Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model Erik Nijkamp Mitch Hill Song-Chun Zhu Ying Nian Wu 29 209 0 22 Apr 2019
Learning Implicit Generative Models by Matching Perceptual Features Cicero Nogueira dos Santos Youssef Mroueh Inkit Padhi Pierre Dognin GAN 43 28 0 04 Apr 2019
Nonparametric Density Estimation & Convergence Rates for GANs under Besov IPM Losses Ananya Uppal Shashank Singh Barnabás Póczós 30 52 0 09 Feb 2019
Deconstructing Generative Adversarial Networks Banghua Zhu Jiantao Jiao David Tse 34 49 0 27 Jan 2019
Deep Generative Learning via Variational Gradient Flow Yuan Gao Yuling Jiao Yang Wang Yao Wang Can Yang Shunkang Zhang 27 36 0 24 Jan 2019
Kernel Change-point Detection with Auxiliary Deep Generative Models Wei-Cheng Chang Chun-Liang Li Yiming Yang Barnabás Póczós 16 67 0 18 Jan 2019
MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks Dan Li Dacheng Chen Lei Shi Baihong Jin Jonathan Goh See-Kiong Ng 34 763 0 15 Jan 2019
InstaGAN: Instance-aware Image-to-Image Translation Sangwoo Mo Minsu Cho Jinwoo Shin 36 157 0 28 Dec 2018
Improving MMD-GAN Training with Repulsive Loss Function Wei Wang Yuan Sun Saman K. Halgamuge GAN 17 79 0 24 Dec 2018
Moment Matching for Multi-Source Domain Adaptation Xingchao Peng Qinxun Bai Xide Xia Zijun Huang Kate Saenko Bo Wang OOD 74 1,754 0 04 Dec 2018
Spread Divergence Mingtian Zhang Peter Hayes Thomas Bird Raza Habib David Barber MedIm UD 30 20 0 21 Nov 2018
Bayesian Cycle-Consistent Generative Adversarial Networks via Marginalizing Latent Sampling Haoran You Yu Cheng Tianheng Cheng Chunliang Li Pan Zhou GAN 29 3 0 19 Nov 2018
Deep Knockoffs Yaniv Romano Matteo Sesia Emmanuel J. Candès BDL 18 139 0 16 Nov 2018
Adversarial Balancing for Causal Inference Michal Ozery-Flato Pierre Thodoroff Matan Ninio Michal Rosen-Zvi T. El-Hay CML GAN 16 25 0 17 Oct 2018
Discriminator Rejection Sampling S. Azadi Catherine Olsson Trevor Darrell Ian Goodfellow Augustus Odena 30 131 0 16 Oct 2018
Point Cloud GAN Chun-Liang Li Manzil Zaheer Yang Zhang Barnabás Póczós Ruslan Salakhutdinov 3DPC 42 209 0 13 Oct 2018
A Kernel Perspective for Regularizing Deep Neural Networks A. Bietti Grégoire Mialon Dexiong Chen Julien Mairal 13 15 0 30 Sep 2018
Learning Implicit Generative Models by Teaching Explicit Ones Chao Du Kun Xu Chongxuan Li Jun Zhu Bo Zhang DRL GAN 14 9 0 10 Jul 2018
MedGAN: Medical Image Translation using GANs Karim Armanious Chenming Yang Marc Fischer Thomas Kustner K. Nikolaou S. Gatidis Bin Yang GAN MedIm 14 540 0 17 Jun 2018
Scalable Bayesian Nonparametric Clustering and Classification Yang Ni Peter Muller M. Diesendruck Sinead Williamson Yitan Zhu Yuan Ji 31 26 0 07 Jun 2018
On GANs and GMMs Eitan Richardson Yair Weiss GAN 23 150 0 31 May 2018
Counterfactual Mean Embeddings Krikamol Muandet Motonobu Kanagawa Sorawit Saengkyongam S. Marukatat CML OffRL 23 38 0 22 May 2018
Nonparametric Density Estimation under Adversarial Losses Shashank Singh Ananya Uppal Boyue Li Chun-Liang Li Manzil Zaheer Barnabás Póczós GAN 29 55 0 22 May 2018
BourGAN: Generative Networks with Metric Embeddings Chang Xiao Peilin Zhong Changxi Zheng GAN 18 69 0 19 May 2018
Causal Generative Domain Adaptation Networks Biwei Huang Kun Zhang Erdun Gao Clark Glymour Dacheng Tao Kayhan Batmanghelich CML OOD TTA 30 21 0 12 Apr 2018