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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
Small Data Challenges in Big Data Era: A Survey of Recent Progress on Unsupervised and Semi-Supervised Methods Guo-Jun Qi Jiebo Luo SSL 69 246 0 27 Mar 2019
Generative Adversarial Networks: recent developments M. Zamorski Adrian Zdobylak Maciej Ziȩba J. Swiatek GAN 45 15 0 16 Mar 2019
Deep Switch Networks for Generating Discrete Data and Language Payam Delgosha Naveen Goela 23 0 0 14 Mar 2019
2-Wasserstein Approximation via Restricted Convex Potentials with Application to Improved Training for GANs Amirhossein Taghvaei Amin Jalali 89 44 0 19 Feb 2019
Lipschitz Generative Adversarial Nets Zhiming Zhou Jiadong Liang Yuxuan Song Lantao Yu Hongwei Wang Weinan Zhang Yong Yu Zhihua Zhang GAN 106 78 0 15 Feb 2019
Nonparametric Density Estimation & Convergence Rates for GANs under Besov IPM Losses Ananya Uppal Shashank Singh Barnabás Póczós 117 53 0 09 Feb 2019
Synthetic Data Generators: Sequential and Private Olivier Bousquet Roi Livni Shay Moran SyDa 79 12 0 09 Feb 2019
Mode Collapse and Regularity of Optimal Transportation Maps Na Lei Yang Guo Dongsheng An Xin Qi Zhongxuan Luo S. Yau X. Gu OT 59 28 0 08 Feb 2019
Collaborative Sampling in Generative Adversarial Networks Yuejiang Liu Parth Kothari Alexandre Alahi TTA 128 17 0 02 Feb 2019
What is Local Optimality in Nonconvex-Nonconcave Minimax Optimization? Chi Jin Praneeth Netrapalli Michael I. Jordan 119 84 0 02 Feb 2019
Out-of-Sample Testing for GANs Pablo Sánchez-Martín Pablo M. Olmos Fernando Perez-Cruz 60 2 0 28 Jan 2019
Deconstructing Generative Adversarial Networks Banghua Zhu Jiantao Jiao David Tse 91 50 0 27 Jan 2019
Kernel Change-point Detection with Auxiliary Deep Generative Models Wei-Cheng Chang Chun-Liang Li Yiming Yang Barnabás Póczós 101 71 0 18 Jan 2019
Learning Shared Semantic Space with Correlation Alignment for Cross-modal Event Retrieval Zhenguo Yang Zehang Lin Peipei Kang Jianming Lv Qing Li Wenyin Liu 3DPC 93 26 0 14 Jan 2019
Detecting Overfitting of Deep Generative Networks via Latent Recovery Ryan Webster Julien Rabin Loïc Simon F. Jurie GAN 87 99 0 09 Jan 2019
On Computation and Generalization of GANs with Spectrum Control Haoming Jiang Zhehui Chen Minshuo Chen Feng Liu Dingding Wang T. Zhao 69 6 0 28 Dec 2018
Latent Dirichlet Allocation in Generative Adversarial Networks Lili Pan Shen Cheng Jian-Dong Liu Yazhou Ren Zenglin Xu GAN 45 3 0 17 Dec 2018
A Survey of Unsupervised Deep Domain Adaptation Garrett Wilson D. Cook OOD 223 824 0 06 Dec 2018
ChainGAN: A sequential approach to GANs Safwan Hossain Kiarash Jamali Yuchen Li Frank Rudzicz GAN 40 1 0 20 Nov 2018
Robustness of Conditional GANs to Noisy Labels Kerry J. Halupka A. Khetan Zinan Lin Stephen Moore NoLa 84 81 0 08 Nov 2018
How Well Generative Adversarial Networks Learn Distributions Tengyuan Liang GAN 122 97 0 07 Nov 2018
A Convex Duality Framework for GANs Farzan Farnia David Tse GAN 70 63 0 28 Oct 2018
Finding Mixed Nash Equilibria of Generative Adversarial Networks Ya-Ping Hsieh Chen Liu S. Chakrabartty GAN 101 93 0 23 Oct 2018
Point Cloud GAN Chun-Liang Li Manzil Zaheer Yang Zhang Barnabás Póczós Ruslan Salakhutdinov 3DPC 99 212 0 13 Oct 2018
Stein Neural Sampler Tianyang Hu Zixiang Chen Hanxi Sun Jincheng Bai Mao Ye Guang Cheng SyDa GAN 89 36 0 08 Oct 2018
Super-Resolution via Conditional Implicit Maximum Likelihood Estimation Ke Li Shichong Peng Jitendra Malik 68 2 0 02 Oct 2018
Implicit Maximum Likelihood Estimation Ke Li Jitendra Malik 58 97 0 24 Sep 2018
Adversarial Training in Affective Computing and Sentiment Analysis: Recent Advances and Perspectives Jing Han Zixing Zhang N. Cummins Björn Schuller 84 61 0 21 Sep 2018
The Inductive Bias of Restricted f-GANs Shuang Liu Kamalika Chaudhuri GAN 49 18 0 12 Sep 2018
Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders Tengfei Ma Jie Chen Cao Xiao 153 210 0 07 Sep 2018
Global Convergence to the Equilibrium of GANs using Variational Inequalities I. Gemp Sridhar Mahadevan 101 50 0 04 Aug 2018
Generalization Error in Deep Learning Daniel Jakubovitz Raja Giryes M. Rodrigues AI4CE 244 111 0 03 Aug 2018
Dropout-GAN: Learning from a Dynamic Ensemble of Discriminators Gonçalo Mordido Haojin Yang Christoph Meinel SyDa 100 49 0 30 Jul 2018
Risk Bounds for Unsupervised Cross-Domain Mapping with IPMs Tomer Galanti Sagie Benaim Lior Wolf 70 7 0 23 Jul 2018
Towards Distributed Coevolutionary GANs Abdullah Al-Dujaili Tom Schmiedlechner Erik Hemberg Una-May O’Reilly GAN 89 41 0 21 Jul 2018
Parametric generation of conditional geological realizations using generative neural networks Shing Chan A. Elsheikh OOD GAN AI4CE 145 101 0 13 Jul 2018
On Catastrophic Forgetting and Mode Collapse in Generative Adversarial Networks Hoang Thanh-Tung T. Tran GAN 148 59 0 11 Jul 2018
Understanding the Effectiveness of Lipschitz-Continuity in Generative Adversarial Nets Zhiming Zhou Yuxuan Song Lantao Yu Hongwei Wang Jiadong Liang Weinan Zhang Zhihua Zhang Yong Yu GAN 114 9 0 02 Jul 2018
Convergence Problems with Generative Adversarial Networks (GANs) Samuel A. Barnett GAN 72 48 0 29 Jun 2018
High Diversity Attribute Guided Face Generation with GANs Evgeny Izutov CVBM GAN 66 0 0 28 Jun 2018
Approximability of Discriminators Implies Diversity in GANs Yu Bai Tengyu Ma Andrej Risteski 100 74 0 27 Jun 2018
Mimic and Classify : A meta-algorithm for Conditional Independence Testing Rajat Sen Karthikeyan Shanmugam Himanshu Asnani Arman Rahimzamani Sreeram Kannan CML VLM 83 16 0 25 Jun 2018
An empirical study on evaluation metrics of generative adversarial networks Qiantong Xu Gao Huang Yang Yuan Chuan Guo Yu Sun Felix Wu Kilian Q. Weinberger EGVM 87 273 0 19 Jun 2018
Beyond Local Nash Equilibria for Adversarial Networks F. Oliehoek Rahul Savani Jose Gallego-Posada Elise van der Pol R. Groß GAN 83 43 0 18 Jun 2018
Adversarial Learning with Local Coordinate Coding Jingyun Liang Yong Guo Qingyao Wu Chunhua Shen Junzhou Huang Mingkui Tan GAN 77 38 0 13 Jun 2018
Disconnected Manifold Learning for Generative Adversarial Networks Mahyar Khayatkhoei Ahmed Elgammal Maneesh Kumar Singh GAN 99 77 0 03 Jun 2018
Interpreting Deep Learning: The Machine Learning Rorschach Test? Adam S. Charles AAML HAI AI4CE 105 9 0 01 Jun 2018
Forward Amortized Inference for Likelihood-Free Variational Marginalization L. Ambrogioni Umut Güçlü Julia Berezutskaya Eva W. P. van den Borne Yağmur Güçlütürk Max Hinne E. Maris Marcel van Gerven BDL VLM 70 17 0 29 May 2018
Nonparametric Density Estimation under Adversarial Losses Shashank Singh Ananya Uppal Boyue Li Chun-Liang Li Manzil Zaheer Barnabás Póczós GAN 93 57 0 22 May 2018
BourGAN: Generative Networks with Metric Embeddings Chang Xiao Peilin Zhong Changxi Zheng GAN 101 69 0 19 May 2018