Unrolled Generative Adversarial Networks

7 November 2016

Luke Metz

Ben Poole

David Pfau

Jascha Narain Sohl-Dickstein

GAN

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Papers citing "Unrolled Generative Adversarial Networks"

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Title
Teaching a GAN What Not to Learn Siddarth Asokan C. Seelamantula GAN 8 19 0 29 Oct 2020
MinMax Methods for Optimal Transport and Beyond: Regularization, Approximation and Numerics L. Aquino Stephan Eckstein OT 4 8 0 22 Oct 2020
Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models Fan Bao Kun Xu Chongxuan Li Lanqing Hong Jun Zhu Bo Zhang DiffM 22 8 0 16 Oct 2020
Bi-level Score Matching for Learning Energy-based Latent Variable Models Fan Bao Chongxuan Li Kun Xu Hang Su Jun Zhu Bo Zhang 30 13 0 15 Oct 2020
Sample weighting as an explanation for mode collapse in generative adversarial networks Aksel Wilhelm Wold Eide Eilif Solberg I. Kåsen GAN 9 3 0 05 Oct 2020
Gradient Descent-Ascent Provably Converges to Strict Local Minmax Equilibria with a Finite Timescale Separation Tanner Fiez Lillian J. Ratliff 14 16 0 30 Sep 2020
Learning Optimal Representations with the Decodable Information Bottleneck Yann Dubois Douwe Kiela D. Schwab Ramakrishna Vedantam 18 43 0 27 Sep 2020
GANs with Variational Entropy Regularizers: Applications in Mitigating the Mode-Collapse Issue Pirazh Khorramshahi Hossein Souri Ramalingam Chellappa S. Feizi GAN DRL 28 4 0 24 Sep 2020
The Complexity of Constrained Min-Max Optimization C. Daskalakis Stratis Skoulakis Manolis Zampetakis 14 136 0 21 Sep 2020
On the Performance of Generative Adversarial Network (GAN) Variants: A Clinical Data Study Jaesung Yoo Jeman Park An Wang David A. Mohaisen Joongheon Kim MedIm 14 0 0 21 Sep 2020
Adversarial score matching and improved sampling for image generation Alexia Jolicoeur-Martineau Remi Piche-Taillefer Rémi Tachet des Combes Ioannis Mitliagkas DiffM 24 125 0 11 Sep 2020
CounteRGAN: Generating Realistic Counterfactuals with Residual Generative Adversarial Nets Daniel Nemirovsky Nicolas Thiebaut Ye Xu Abhishek Gupta CML GAN 16 33 0 11 Sep 2020
Generalized Zero-Shot Learning via VAE-Conditioned Generative Flow Yuchao Gu Le Zhang Yun-Hai Liu Shao-Ping Lu Ming-Ming Cheng 13 6 0 01 Sep 2020
Relational Data Synthesis using Generative Adversarial Networks: A Design Space Exploration Ju Fan Tongyu Liu Guoliang Li Junyou Chen Yuwei Shen Xiaoyong Du 12 61 0 28 Aug 2020
Dual Adversarial Auto-Encoders for Clustering Pengfei Ge Chuan-Xian Ren Jiashi Feng Shuicheng Yan DRL 9 42 0 23 Aug 2020
CDE-GAN: Cooperative Dual Evolution Based Generative Adversarial Network Shiming Chen Wenjie Wang Beihao Xia Xinge You Zehong Cao Weiping Ding GAN 13 33 0 21 Aug 2020
Improving Text to Image Generation using Mode-seeking Function Naitik Bhise Zhenfei Zhang Tien D. Bui GAN 21 0 0 19 Aug 2020
HRVGAN: High Resolution Video Generation using Spatio-Temporal GAN Abhinav Sagar GAN 9 1 0 17 Aug 2020
Evaluating Lossy Compression Rates of Deep Generative Models Sicong Huang Alireza Makhzani Yanshuai Cao Roger C. Grosse EGVM DRL 8 27 0 15 Aug 2020
Improving Stability of LS-GANs for Audio and Speech Signals Mohammad Esmaeilpour Raymel Alfonso Sallo Olivier St-Georges P. Cardinal Alessandro Lameiras Koerich 11 0 0 12 Aug 2020
Intervention Generative Adversarial Networks Jiadong Liang Liangyu Zhang Cheng Zhang Zhihua Zhang GAN 19 0 0 09 Aug 2020
Multimodal Image-to-Image Translation via Mutual Information Estimation and Maximization Zhiwen Zuo Lei Zhao Zhizhong Wang Haibo Chen Ailin Li Qijiang Xu Wei Xing Dongming Lu GAN 42 0 0 08 Aug 2020
A Survey on Device Behavior Fingerprinting: Data Sources, Techniques, Application Scenarios, and Datasets Pedro Miguel Sánchez Sánchez José María Jorquera Valero Alberto Huertas Celdrán Gérome Bovet M. Pérez Gregorio Martínez Pérez 27 95 0 07 Aug 2020
Neural Language Generation: Formulation, Methods, and Evaluation Cristina Garbacea Qiaozhu Mei 42 30 0 31 Jul 2020
$Generative networks as inverse problems with fractional wavelet scattering networks$ Generative networks as inverse problems with fractional wavelet scattering networks Jiasong Wu Jing Zhang Fuzhi Wu Youyong Kong Guanyu Yang L. Senhadji H. Shu GAN 29 1 0 28 Jul 2020
IllumiNet: Transferring Illumination from Planar Surfaces to Virtual Objects in Augmented Reality Di Xu Zhuguo Li Yanning Zhang Qinglei Cao 16 0 0 12 Jul 2020
InfoMax-GAN: Improved Adversarial Image Generation via Information Maximization and Contrastive Learning Kwot Sin Lee Ngoc-Trung Tran Ngai-man Cheung GAN 18 66 0 09 Jul 2020
Benefiting Deep Latent Variable Models via Learning the Prior and Removing Latent Regularization Rogan Morrow Wei-Chen Chiu DRL 18 0 0 07 Jul 2020
Deep Learning for Anomaly Detection: A Review Guansong Pang Chunhua Shen LongBing Cao Anton Van Den Hengel 11 896 0 06 Jul 2020
Age-Oriented Face Synthesis with Conditional Discriminator Pool and Adversarial Triplet Loss Haoyi Wang Victor Sanchez Chang-Tsun Li GAN CVBM 20 12 0 01 Jul 2020
A Flexible Framework for Designing Trainable Priors with Adaptive Smoothing and Game Encoding Bruno Lecouat Jean Ponce Julien Mairal AI4CE 8 6 0 26 Jun 2020
Ensembles of Generative Adversarial Networks for Disconnected Data Lorenzo Luzi Randall Balestriero Richard G. Baraniuk 26 4 0 25 Jun 2020
Newton-type Methods for Minimax Optimization Guojun Zhang Kaiwen Wu Pascal Poupart Yaoliang Yu 22 24 0 25 Jun 2020
Taming GANs with Lookahead-Minmax Tatjana Chavdarova Matteo Pagliardini Sebastian U. Stich F. Fleuret Martin Jaggi GAN 16 25 0 25 Jun 2020
Empirical Analysis of Overfitting and Mode Drop in GAN Training Yasin Yazici Chuan-Sheng Foo Stefan Winkler Kim-Hui Yap V. Chandrasekhar 24 29 0 25 Jun 2020
Deep Convolutional GANs for Car Image Generation Dong-Hui Kim GAN 27 2 0 24 Jun 2020
A Convergent and Dimension-Independent Min-Max Optimization Algorithm Vijay Keswani Oren Mangoubi Sushant Sachdeva Nisheeth K. Vishnoi 15 1 0 22 Jun 2020
NOVAS: Non-convex Optimization via Adaptive Stochastic Search for End-to-End Learning and Control Ioannis Exarchos M. Pereira Ziyi Wang Evangelos A. Theodorou 11 4 0 22 Jun 2020
Online Kernel based Generative Adversarial Networks Yeojoon Youn Neil Thistlethwaite Sang Keun Choe Jacob D. Abernethy GAN 13 2 0 19 Jun 2020
Diverse Image Generation via Self-Conditioned GANs Steven Liu Tongzhou Wang David Bau Jun-Yan Zhu Antonio Torralba SyDa 27 107 0 18 Jun 2020
MMCGAN: Generative Adversarial Network with Explicit Manifold Prior Guanhua Zheng Jitao Sang Changsheng Xu GAN 9 1 0 18 Jun 2020
GAT-GMM: Generative Adversarial Training for Gaussian Mixture Models Farzan Farnia William Wang Subhro Das Ali Jadbabaie GAN 13 7 0 18 Jun 2020
Dynamic Tensor Rematerialization Marisa Kirisame Steven Lyubomirsky Altan Haan Jennifer Brennan Mike He Jared Roesch Tianqi Chen Zachary Tatlock 16 93 0 17 Jun 2020
The Bures Metric for Generative Adversarial Networks Hannes De Meulemeester J. Schreurs Michaël Fanuel B. De Moor Johan A. K. Suykens GAN 11 5 0 16 Jun 2020
Proximal Mapping for Deep Regularization Mao Li Yingyi Ma Xinhua Zhang 20 3 0 14 Jun 2020
FedGAN: Federated Generative Adversarial Networks for Distributed Data M. Rasouli Tao Sun Ram Rajagopal FedML 19 142 0 12 Jun 2020
Deep generative models for musical audio synthesis M. Huzaifah L. Wyse 19 20 0 10 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 35 0 09 Jun 2020
A Survey on Generative Adversarial Networks: Variants, Applications, and Training Abdul Jabbar Xi Li Bourahla Omar 25 266 0 09 Jun 2020
ColdGANs: Taming Language GANs with Cautious Sampling Strategies Thomas Scialom Paul-Alexis Dray Sylvain Lamprier Benjamin Piwowarski Jacopo Staiano GAN SyDa 17 18 0 08 Jun 2020