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Generalization and Equilibrium in Generative Adversarial Nets (GANs)

2 March 2017

Papers citing "Generalization and Equilibrium in Generative Adversarial Nets (GANs)"

50 / 246 papers shown

Title
Limit Distribution Theory for the Smooth 1-Wasserstein Distance with Applications Ritwik Sadhu Ziv Goldfeld Kengo Kato 79 9 0 28 Jul 2021
On the Performance Analysis of the Adversarial System Variant Approximation Method to Quantify Process Model Generalization Julian Theis Ilia Mokhtarian H. Darabi 42 0 0 13 Jul 2021
This Person (Probably) Exists. Identity Membership Attacks Against GAN Generated Faces Ryan Webster Julien Rabin Loïc Simon F. Jurie CVBM PICV 84 33 0 13 Jul 2021
Lifelong Mixture of Variational Autoencoders Fei Ye A. Bors DRL 49 27 0 09 Jul 2021
Generalization Error of GAN from the Discriminator's Perspective Hongkang Yang Weinan E GAN 100 14 0 08 Jul 2021
Deep Extrapolation for Attribute-Enhanced Generation Alvin Chan Ali Madani Ben Krause Nikhil Naik 114 26 0 07 Jul 2021
Are conditional GANs explicitly conditional? Houssem-eddine Boulahbal A. Voicila Andrew I. Comport GAN 93 1 0 28 Jun 2021
Separation Results between Fixed-Kernel and Feature-Learning Probability Metrics Carles Domingo-Enrich Youssef Mroueh 75 1 0 10 Jun 2021
A Neural Tangent Kernel Perspective of GANs Jean-Yves Franceschi Emmanuel de Bézenac Ibrahim Ayed Mickaël Chen Sylvain Lamprier Patrick Gallinari 129 27 0 10 Jun 2021
Tractable Density Estimation on Learned Manifolds with Conformal Embedding Flows Brendan Leigh Ross Jesse C. Cresswell TPM 85 32 0 09 Jun 2021
Realizing GANs via a Tunable Loss Function Gowtham R. Kurri Tyler Sypherd Lalitha Sankar GAN 75 17 0 09 Jun 2021
Quantifying and Improving Transferability in Domain Generalization Guojun Zhang Han Zhao Yaoliang Yu Pascal Poupart 104 39 0 07 Jun 2021
Exposing Previously Undetectable Faults in Deep Neural Networks Isaac Dunn Hadrien Pouget Daniel Kroening T. Melham AAML 122 29 0 01 Jun 2021
On Characterizing GAN Convergence Through Proximal Duality Gap Sahil Sidheekh Aroof Aimen N. C. Krishnan 41 5 0 11 May 2021
A likelihood approach to nonparametric estimation of a singular distribution using deep generative models Minwoo Chae Dongha Kim Yongdai Kim Lizhen Lin 108 17 0 09 May 2021
Towards A Multi-agent System for Online Hate Speech Detection Gaurav Sahu R. Cohen Olga Vechtomova 62 10 0 03 May 2021
Understanding Overparameterization in Generative Adversarial Networks Yogesh Balaji M. Sajedi Neha Kalibhat Mucong Ding Dominik Stöger Mahdi Soltanolkotabi Soheil Feizi AI4CE 92 21 0 12 Apr 2021
OpenGAN: Open-Set Recognition via Open Data Generation Shu Kong Deva Ramanan 97 220 0 07 Apr 2021
Reward-Reinforced Reinforcement Learning for Multi-agent Systems Changgang Zheng Shufan Yang Juan Marcelo Parra Ullauri A. García-Domínguez Nelly Bencomo 56 11 0 22 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
Conditional Image Generation by Conditioning Variational Auto-Encoders William Harvey Saeid Naderiparizi Frank Wood BDL DRL 64 25 0 24 Feb 2021
DO-GAN: A Double Oracle Framework for Generative Adversarial Networks Aye Phyu Phyu Aung Xinrun Wang Runsheng Yu Bo An Senthilnath Jayavelu Xiaoli Li 71 9 0 17 Feb 2021
Two-sample Test with Kernel Projected Wasserstein Distance Jie Wang Rui Gao Yao Xie 84 20 0 12 Feb 2021
Signal Propagation in a Gradient-Based and Evolutionary Learning System J. Toutouh Una-May O’Reilly GAN 64 10 0 10 Feb 2021
Reducing bias and increasing utility by federated generative modeling of medical images using a centralized adversary Jean-Francois Rajotte Soumendu Sundar Mukherjee Caleb Robinson Anthony Ortiz Christopher West J. L. Ferres R. Ng FedML MedIm 184 41 0 18 Jan 2021
Smooth $p$ -Wasserstein Distance: Structure, Empirical Approximation, and Statistical Applications Sloan Nietert Ziv Goldfeld Kengo Kato 105 33 0 11 Jan 2021
Projected Distribution Loss for Image Enhancement M. Delbracio Hossein Talebi P. Milanfar SupR 86 37 0 16 Dec 2020
GAN Ensemble for Anomaly Detection Xu Han Xiaohui Chen Liping Liu 86 66 0 14 Dec 2020
Semantically Robust Unpaired Image Translation for Data with Unmatched Semantics Statistics Zhiwei Jia Bodi Yuan Kangkang Wang Hong Wu David Clifford Zhiqiang Yuan Hao Su VLM 108 23 0 09 Dec 2020
Towards Generalized Implementation of Wasserstein Distance in GANs Minkai Xu Zhiming Zhou Guansong Lu Jian Tang Weinan Zhang Yong Yu 46 2 0 07 Dec 2020
Convergence and Sample Complexity of SGD in GANs Vasilis Kontonis Sihan Liu Christos Tzamos 40 3 0 01 Dec 2020
Generalization and Memorization: The Bias Potential Model Hongkang Yang E. Weinan 85 13 0 29 Nov 2020
Augmentation-Interpolative AutoEncoders for Unsupervised Few-Shot Image Generation Davis Wertheimer Omid Poursaeed B. Hariharan 39 9 0 25 Nov 2020
Intrinsic Image Decomposition using Paradigms David A. Forsyth Jason Rock 60 25 0 20 Nov 2020
Fast and Scalable Earth Texture Synthesis using Spatially Assembled Generative Adversarial Neural Networks Sung Eun Kim H. Yoon Jonghyun Lee GAN 43 12 0 13 Nov 2020
Comparing computational entropies below majority (or: When is the dense model theorem false?) R. Impagliazzo Samuel H. McGuire 8 3 0 12 Nov 2020
Train simultaneously, generalize better: Stability of gradient-based minimax learners Farzan Farnia Asuman Ozdaglar 73 48 0 23 Oct 2020
Error Bounds of Imitating Policies and Environments Tian Xu Ziniu Li Yang Yu 97 121 0 22 Oct 2020
Spatial Frequency Bias in Convolutional Generative Adversarial Networks Mahyar Khayatkhoei Ahmed Elgammal GAN 102 46 0 04 Oct 2020
Learning from a Complementary-label Source Domain: Theory and Algorithms Yiyang Zhang Feng Liu Zhen Fang Bo Yuan Guangquan Zhang Jie Lu 95 70 0 04 Aug 2020
Generalization Properties of Optimal Transport GANs with Latent Distribution Learning Giulia Luise Massimiliano Pontil C. Ciliberto GAN OT 66 22 0 29 Jul 2020
Improving Generative Adversarial Networks with Local Coordinate Coding Jingyun Liang Yong Guo Qingyao Wu Chunhua Shen Junzhou Huang Mingkui Tan GAN 126 12 0 28 Jul 2020
Style Transfer for Co-Speech Gesture Animation: A Multi-Speaker Conditional-Mixture Approach Chaitanya Ahuja Dong Won Lee Y. Nakano Louis-Philippe Morency 51 106 0 24 Jul 2020
Private Post-GAN Boosting Marcel Neunhoeffer Zhiwei Steven Wu Cynthia Dwork 196 29 0 23 Jul 2020
Incorporating Reinforced Adversarial Learning in Autoregressive Image Generation Kenan E. Ak N. Xu Zhe Lin Yilin Wang 85 13 0 20 Jul 2020
Unified cross-modality feature disentangler for unsupervised multi-domain MRI abdomen organs segmentation Jue Jiang Harini Veeraraghavan DRL 50 30 0 19 Jul 2020
Empirical Analysis of Overfitting and Mode Drop in GAN Training Yasin Yazici Chuan-Sheng Foo Stefan Winkler Kim-Hui Yap V. Chandrasekhar 89 32 0 25 Jun 2020
Searching towards Class-Aware Generators for Conditional Generative Adversarial Networks P. Zhou Lingxi Xie Xiaopeng Zhang Bingbing Ni Qi Tian 69 13 0 25 Jun 2020
Online Kernel based Generative Adversarial Networks Yeojoon Youn Neil Thistlethwaite Sang Keun Choe Jacob D. Abernethy GAN 36 2 0 19 Jun 2020
FLAMBE: Structural Complexity and Representation Learning of Low Rank MDPs Alekh Agarwal Sham Kakade A. Krishnamurthy Wen Sun OffRL 215 227 0 18 Jun 2020