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"

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Title
Probabilistic Forecasting with Generative Networks via Scoring Rule Minimization Lorenzo Pacchiardi Rilwan A. Adewoyin P. Dueben Ritabrata Dutta AI4TS 24 21 0 15 Dec 2021
Forward Operator Estimation in Generative Models with Kernel Transfer Operators Z. Huang Rudrasis Chakraborty Vikas Singh GAN 16 3 0 01 Dec 2021
Generative Adversarial Networks and Adversarial Autoencoders: Tutorial and Survey Benyamin Ghojogh A. Ghodsi Fakhri Karray Mark Crowley GAN 34 12 0 26 Nov 2021
A Deterministic Sampling Method via Maximum Mean Discrepancy Flow with Adaptive Kernel Yindong Chen Yiwei Wang Lulu Kang Chun Liu 26 1 0 21 Nov 2021
Composite Goodness-of-fit Tests with Kernels Oscar Key Arthur Gretton F. Briol T. Fernandez 36 14 0 19 Nov 2021
A novel network training approach for open set image recognition Md Tahmid Hossaina S. Teng Guojun Lu Ferdous Sohel 26 0 0 27 Sep 2021
Rethinking Multidimensional Discriminator Output for Generative Adversarial Networks M. Dai Haibin Hang A. Srivastava 18 3 0 08 Sep 2021
Lifelong Infinite Mixture Model Based on Knowledge-Driven Dirichlet Process Fei Ye A. Bors CLL 31 18 0 25 Aug 2021
Dual Training of Energy-Based Models with Overparametrized Shallow Neural Networks Carles Domingo-Enrich A. Bietti Marylou Gabrié Joan Bruna Eric Vanden-Eijnden FedML 43 6 0 11 Jul 2021
How many moments does MMD compare? Rustem Takhanov 21 0 0 27 Jun 2021
Discrepancy-based Inference for Intractable Generative Models using Quasi-Monte Carlo Ziang Niu J. Meier F. Briol 37 12 0 22 Jun 2021
KALE Flow: A Relaxed KL Gradient Flow for Probabilities with Disjoint Support Pierre Glaser Michael Arbel Arthur Gretton 52 37 0 16 Jun 2021
Non-Transferable Learning: A New Approach for Model Ownership Verification and Applicability Authorization Lixu Wang Shichao Xu Ruiqi Xu Tianlin Li Qi Zhu AAML 19 45 0 13 Jun 2021
A Neural Tangent Kernel Perspective of GANs Jean-Yves Franceschi Emmanuel de Bézenac Ibrahim Ayed Mickaël Chen Sylvain Lamprier Patrick Gallinari 37 26 0 10 Jun 2021
Efficient and Accurate Gradients for Neural SDEs Patrick Kidger James Foster Xuechen Li Terry Lyons DiffM 24 61 0 27 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 18 574 0 27 May 2021
Understanding Overparameterization in Generative Adversarial Networks Yogesh Balaji M. Sajedi Neha Kalibhat Mucong Ding Dominik Stöger Mahdi Soltanolkotabi S. Feizi AI4CE 22 21 0 12 Apr 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 29 67 0 18 Feb 2021
TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up Yi Ding Shiyu Chang Zhangyang Wang ViT 29 383 0 14 Feb 2021
Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed Distributions Todd P. Huster Jérémy E. Cohen Zinan Lin Kevin S. Chan Charles A. Kamhoua Nandi O. Leslie C. Chiang Vyas Sekar GAN 46 27 0 22 Jan 2021
Disentangled Recurrent Wasserstein Autoencoder Jun Han Martin Renqiang Min Ligong Han Erran L. Li Xuan Zhang CoGe SyDa DRL 29 33 0 19 Jan 2021
Minibatch optimal transport distances; analysis and applications Kilian Fatras Younes Zine Szymon Majewski Rémi Flamary Rémi Gribonval Nicolas Courty OT 79 54 0 05 Jan 2021
Complexity Controlled Generative Adversarial Networks Himanshu Pant Jayadeva Jayadeva Sumit Soman GAN 22 1 0 20 Nov 2020
f-IRL: Inverse Reinforcement Learning via State Marginal Matching Tianwei Ni Harshit S. Sikchi Yufei Wang Tejus Gupta Lisa Lee Benjamin Eysenbach 13 72 0 09 Nov 2020
On the Convergence of Gradient Descent in GANs: MMD GAN As a Gradient Flow Youssef Mroueh Truyen V. Nguyen 29 25 0 04 Nov 2020
Teaching a GAN What Not to Learn Siddarth Asokan C. Seelamantula GAN 14 19 0 29 Oct 2020
Two-sample Test using Projected Wasserstein Distance Jie Wang Rui Gao Yao Xie 27 19 0 22 Oct 2020
Dodging DeepFake Detection via Implicit Spatial-Domain Notch Filtering Yihao Huang Felix Juefei Xu Qing Guo Yang Liu G. Pu 33 20 0 19 Sep 2020
Generative models with kernel distance in data space Szymon Knop Marcin Mazur Przemysław Spurek Jacek Tabor Igor T. Podolak GAN SyDa 27 11 0 15 Sep 2020
Learning Kernel for Conditional Moment-Matching Discrepancy-based Image Classification Chuan-Xian Ren Pengfei Ge D. Dai Hong Yan 25 15 0 24 Aug 2020
Weakly Supervised Generative Network for Multiple 3D Human Pose Hypotheses Chen Li Gim Hee Lee 3DH 14 31 0 13 Aug 2020
Network Architecture Search for Domain Adaptation Yichen Li Xingchao Peng OOD 24 15 0 13 Aug 2020
Point Cloud Completion by Learning Shape Priors Xiaogang Wang M. Ang Gim Hee Lee 3DPC 13 22 0 02 Aug 2020
Pooling Regularized Graph Neural Network for fMRI Biomarker Analysis Xiaoxiao Li Yuan Zhou Nicha Dvornek Muhan Zhang Juntang Zhuang P. Ventola James S Duncan 16 57 0 29 Jul 2020
Unsupervised Domain Adaptation in the Dissimilarity Space for Person Re-identification Djebril Mekhazni Amran Bhuiyan G. Ekladious Eric Granger OOD 86 93 0 27 Jul 2020
Estimating Barycenters of Measures in High Dimensions Samuel N. Cohen Michael Arbel M. Deisenroth 26 22 0 14 Jul 2020
Fast, Accurate, and Simple Models for Tabular Data via Augmented Distillation Rasool Fakoor Jonas W. Mueller Nick Erickson Pratik Chaudhari Alex Smola 26 54 0 25 Jun 2020
Reciprocal Adversarial Learning via Characteristic Functions Shengxi Li Zeyang Yu Min Xiang Danilo P. Mandic GAN 29 13 0 15 Jun 2020
On Data Augmentation for GAN Training Ngoc-Trung Tran Viet-Hung Tran Ngoc-Bao Nguyen Trung-Kien Nguyen Ngai-man Cheung MedIm 18 36 0 09 Jun 2020
Sequential Recommendation with Self-Attentive Multi-Adversarial Network Ruiyang Ren Zhaoyang Liu Yaliang Li Wayne Xin Zhao Hongya Wang Bolin Ding Ji-Rong Wen GAN 14 107 0 21 May 2020
Geodesics in fibered latent spaces: A geometric approach to learning correspondences between conditions Tariq Daouda Reda Chhaibi Prudencio Tossou A. Villani 22 2 0 16 May 2020
Deep Divergence Learning Kubra Cilingir Rachel Manzelli Brian Kulis 15 13 0 06 May 2020
Generative Adversarial Networks (GANs Survey): Challenges, Solutions, and Future Directions Divya Saxena Jiannong Cao AAML AI4CE 26 287 0 30 Apr 2020
Towards Inheritable Models for Open-Set Domain Adaptation Jogendra Nath Kundu Naveen Venkat R. Ambareesh V. RahulM. R. Venkatesh Babu VLM 17 117 0 09 Apr 2020
TraDE: Transformers for Density Estimation Rasool Fakoor Pratik Chaudhari Jonas W. Mueller Alex Smola 20 30 0 06 Apr 2020
Feature Quantization Improves GAN Training Yang Zhao Chunyuan Li Ping Yu Jianfeng Gao Changyou Chen MQ 25 47 0 05 Apr 2020
OpenGAN: Open Set Generative Adversarial Networks Luke Ditria Benjamin J. Meyer Tom Drummond VLM AI4CE GAN 43 20 0 18 Mar 2020
A U-Net Based Discriminator for Generative Adversarial Networks Edgar Schönfeld Bernt Schiele Anna Khoreva GAN 30 292 0 28 Feb 2020
DP-MERF: Differentially Private Mean Embeddings with Random Features for Practical Privacy-Preserving Data Generation Frederik Harder Kamil Adamczewski Mijung Park SyDa 25 101 0 26 Feb 2020
Learning Deep Kernels for Non-Parametric Two-Sample Tests Feng Liu Wenkai Xu Jie Lu Guangquan Zhang Arthur Gretton Danica J. Sutherland 19 177 0 21 Feb 2020