Stabilizing Training of Generative Adversarial Networks through Regularization

25 May 2017

Papers citing "Stabilizing Training of Generative Adversarial Networks through Regularization"

36 / 86 papers shown

Title
A U-Net Based Discriminator for Generative Adversarial Networks Edgar Schönfeld Bernt Schiele Anna Khoreva GAN 30 291 0 28 Feb 2020
GANs May Have No Nash Equilibria Farzan Farnia Asuman Ozdaglar GAN 28 43 0 21 Feb 2020
Improved Consistency Regularization for GANs Zhengli Zhao Sameer Singh Honglak Lee Zizhao Zhang Augustus Odena Han Zhang 32 153 0 11 Feb 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications Jie Gui Zhenan Sun Yonggang Wen Dacheng Tao Jieping Ye EGVM 26 818 0 20 Jan 2020
Gradient Surgery for Multi-Task Learning Tianhe Yu Saurabh Kumar Abhishek Gupta Sergey Levine Karol Hausman Chelsea Finn 36 1,165 0 19 Jan 2020
Deep Representation Learning in Speech Processing: Challenges, Recent Advances, and Future Trends S. Latif R. Rana Sara Khalifa Raja Jurdak Junaid Qadir Björn W. Schuller AI4TS 32 81 0 02 Jan 2020
How to GAN away Detector Effects Marco Bellagente A. Butter Gregor Kasieczka Tilman Plehn R. Winterhalder GAN 11 86 0 01 Dec 2019
Adversarial Fisher Vectors for Unsupervised Representation Learning Shuangfei Zhai Walter A. Talbott Carlos Guestrin J. Susskind GAN 22 8 0 29 Oct 2019
Consistency Regularization for Generative Adversarial Networks Han Zhang Zizhao Zhang Augustus Odena Honglak Lee GAN 22 284 0 26 Oct 2019
Stabilizing Generative Adversarial Networks: A Survey Maciej Wiatrak Stefano V. Albrecht A. Nystrom GAN 29 83 0 30 Sep 2019
Wasserstein-2 Generative Networks Alexander Korotin Vage Egiazarian Arip Asadulaev Alexander Safin E. Burnaev GAN 131 100 0 28 Sep 2019
Coupled Generative Adversarial Network for Continuous Fine-grained Action Segmentation Harshala Gammulle Tharindu Fernando Simon Denman Sridha Sridharan Clinton Fookes GAN 16 21 0 20 Sep 2019
Learning a Domain-Invariant Embedding for Unsupervised Domain Adaptation Using Class-Conditioned Distribution Alignment Alex Gabourie Mohammad Rostami Phillip E. Pope Soheil Kolouri Kyungnam Kim OOD 16 22 0 04 Jul 2019
Scaleable input gradient regularization for adversarial robustness Chris Finlay Adam M. Oberman AAML 16 77 0 27 May 2019
ODE Analysis of Stochastic Gradient Methods with Optimism and Anchoring for Minimax Problems Ernest K. Ryu Kun Yuan W. Yin 20 36 0 26 May 2019
Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model Erik Nijkamp Mitch Hill Song-Chun Zhu Ying Nian Wu 29 208 0 22 Apr 2019
Towards Photographic Image Manipulation with Balanced Growing of Generative Autoencoders Ari Heljakka Arno Solin Arno Solin DRL CVBM 29 15 0 12 Apr 2019
Complementary Learning for Overcoming Catastrophic Forgetting Using Experience Replay Mohammad Rostami Soheil Kolouri Praveen K. Pilly CLL 20 67 0 11 Mar 2019
Spread Divergence Mingtian Zhang Peter Hayes Thomas Bird Raza Habib David Barber MedIm UD 30 20 0 21 Nov 2018
A Kernel Perspective for Regularizing Deep Neural Networks A. Bietti Grégoire Mialon Dexiong Chen Julien Mairal 11 15 0 30 Sep 2018
Global Convergence to the Equilibrium of GANs using Variational Inequalities I. Gemp Sridhar Mahadevan 25 50 0 04 Aug 2018
A Large-Scale Study on Regularization and Normalization in GANs Karol Kurach Mario Lucic Xiaohua Zhai Marcin Michalski Sylvain Gelly AI4CE 33 154 0 12 Jul 2018
Pioneer Networks: Progressively Growing Generative Autoencoder Ari Heljakka Arno Solin Arno Solin GAN DRL 27 41 0 09 Jul 2018
Defending Against Adversarial Attacks by Leveraging an Entire GAN G. Santhanam Paulina Grnarova AAML 16 40 0 27 May 2018
Generative Adversarial Forests for Better Conditioned Adversarial Learning Yan Zuo Gil Avraham Tom Drummond GAN AI4CE 22 8 0 14 May 2018
MGGAN: Solving Mode Collapse using Manifold Guided Training Duhyeon Bang Hyunjung Shim GAN 30 77 0 12 Apr 2018
Stochastic Deconvolutional Neural Network Ensemble Training on Generative Pseudo-Adversarial Networks A. Chaplygin Joshua Chacksfield GAN 29 0 0 07 Feb 2018
Fast cosmic web simulations with generative adversarial networks Andrés C. Rodríguez T. Kacprzak Aurelien Lucchi A. Amara R. Sgier J. Fluri Thomas Hofmann Alexandre Réfrégier GAN AI4CE 21 89 0 27 Jan 2018
Which Training Methods for GANs do actually Converge? L. Mescheder Andreas Geiger Sebastian Nowozin 30 1,452 0 13 Jan 2018
Wasserstein Divergence for GANs Jiqing Wu Zhiwu Huang Janine Thoma Dinesh Acharya Luc Van Gool 36 138 0 04 Dec 2017
Understanding GANs: the LQG Setting S. Feizi Changho Suh F. Xia David Tse 40 63 0 30 Oct 2017
Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step W. Fedus Mihaela Rosca Balaji Lakshminarayanan Andrew M. Dai S. Mohamed Ian Goodfellow GAN 26 208 0 23 Oct 2017
PassGAN: A Deep Learning Approach for Password Guessing Briland Hitaj Paolo Gasti G. Ateniese Fernando Perez-Cruz GAN 30 246 0 01 Sep 2017
MoCoGAN: Decomposing Motion and Content for Video Generation Sergey Tulyakov Ming-Yu Liu Xiaodong Yang Jan Kautz GAN 72 1,131 0 17 Jul 2017
Gradient descent GAN optimization is locally stable Vaishnavh Nagarajan J. Zico Kolter GAN 34 348 0 13 Jun 2017
Boundary-Seeking Generative Adversarial Networks R. Devon Hjelm Athul Paul Jacob Tong Che Adam Trischler Kyunghyun Cho Yoshua Bengio GAN 23 170 0 27 Feb 2017