Towards Principled Methods for Training Generative Adversarial Networks

17 January 2017

Papers citing "Towards Principled Methods for Training Generative Adversarial Networks"

50 / 295 papers shown

Title
Invertible Rescaling Network and Its Extensions Mingqing Xiao Shuxin Zheng Chang-Shu Liu Zhouchen Lin Tie-Yan Liu 32 27 0 09 Oct 2022
Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery Félix Chalumeau Raphael Boige Bryan Lim Valentin Macé Maxime Allard Arthur Flajolet Antoine Cully Thomas Pierrot 26 21 0 06 Oct 2022
Hyperbolic Deep Reinforcement Learning Edoardo Cetin B. Chamberlain Michael M. Bronstein Jonathan J. Hunt 43 21 0 04 Oct 2022
Cyclegan Network for Sheet Metal Welding Drawing Translation Zhiwei Song Hui Yao Dan Tian Gaohui Zhan GAN AI4CE 30 1 0 28 Sep 2022
SmartFPS: Neural Network based Wireless-inertial fusion positioning system Luchi Hua Jun Yang 21 3 0 27 Sep 2022
Towards Complete-View and High-Level Pose-based Gait Recognition Honghu Pan Yongyong Chen Tingyang Xu Yunqian He Zhenyu He SLR GAN CVBM 24 13 0 23 Sep 2022
A Deep Learning Approach for Parallel Imaging and Compressed Sensing MRI Reconstruction Farhan Sadik Md. Kamrul Hasan MedIm 31 0 0 19 Sep 2022
DEQGAN: Learning the Loss Function for PINNs with Generative Adversarial Networks Blake Bullwinkel Dylan Randle P. Protopapas David Sondak 24 3 0 15 Sep 2022
Gromov-Wasserstein Autoencoders Nao Nakagawa Ren Togo Takahiro Ogawa Miki Haseyama GAN DRL 26 11 0 15 Sep 2022
Delving into the Continuous Domain Adaptation Yinsong Xu Zhuqing Jiang Aidong Men Yang Liu Qingchao Chen 27 4 0 28 Aug 2022
Interpreting Latent Spaces of Generative Models for Medical Images using Unsupervised Methods Julian Schon Raghavendra Selvan Jens Petersen MedIm 26 4 0 20 Jul 2022
Deep Semantic Statistics Matching (D2SM) Denoising Network Kangfu Mei Vishal M. Patel Rui Huang DiffM 21 8 0 19 Jul 2022
FakeCLR: Exploring Contrastive Learning for Solving Latent Discontinuity in Data-Efficient GANs Ziqiang Li Chaoyue Wang Heliang Zheng Jing Zhang Bin Li 34 24 0 18 Jul 2022
RSD-GAN: Regularized Sobolev Defense GAN Against Speech-to-Text Adversarial Attacks Mohammad Esmaeilpour Nourhene Chaalia P. Cardinal AAML 21 1 0 14 Jul 2022
AS-IntroVAE: Adversarial Similarity Distance Makes Robust IntroVAE Chang-Tien Lu Shen Zheng Zirui Wang O. Dib Gaurav Gupta 34 3 0 28 Jun 2022
Disentangling representations in Restricted Boltzmann Machines without adversaries Jorge Fernandez-de-Cossio-Diaz Simona Cocco R. Monasson DRL 40 13 0 23 Jun 2022
On the Privacy Properties of GAN-generated Samples Zinan Lin Vyas Sekar Giulia Fanti PICV 24 26 0 03 Jun 2022
Modeling Image Composition for Complex Scene Generation Zuopeng Yang Daqing Liu Chaoyue Wang J. Yang Dacheng Tao ViT 36 50 0 02 Jun 2022
Disentangled Generation Network for Enlarged License Plate Recognition and A Unified Dataset Chenglong Li Xiaobin Yang Guo-You Wang A. Zheng Chang Tan Ruoran Jia Jin Tang 30 4 0 02 Jun 2022
Three-dimensional microstructure generation using generative adversarial neural networks in the context of continuum micromechanics Alexander Henkes Henning Wessels 3DV MedIm AI4CE 23 38 0 31 May 2022
Estimating a density near an unknown manifold: a Bayesian nonparametric approach Clément Berenfeld Paul Rosa Judith Rousseau 53 10 0 31 May 2022
On the Robustness of Safe Reinforcement Learning under Observational Perturbations Zuxin Liu Zijian Guo Zhepeng Cen Huan Zhang Jie Tan Bo-wen Li Ding Zhao OOD OffRL 45 35 0 29 May 2022
RCC-GAN: Regularized Compound Conditional GAN for Large-Scale Tabular Data Synthesis Mohammad Esmaeilpour Nourhene Chaalia Adel Abusitta François-Xavier Devailly Wissem Maazoun P. Cardinal GAN 25 2 0 24 May 2022
HessianFR: An Efficient Hessian-based Follow-the-Ridge Algorithm for Minimax Optimization Yihang Gao Huafeng Liu Michael K. Ng Mingjie Zhou 25 2 0 23 May 2022
IL-flOw: Imitation Learning from Observation using Normalizing Flows Wei-Di Chang J. A. G. Higuera Scott Fujimoto D. Meger Gregory Dudek 38 9 0 19 May 2022
Data-Free Adversarial Knowledge Distillation for Graph Neural Networks Yu-Lin Zhuang Lingjuan Lyu Chuan Shi Carl Yang Lichao Sun 35 16 0 08 May 2022
Policy Gradient Stock GAN for Realistic Discrete Order Data Generation in Financial Markets Masanori Hirano Hiroki Sakaji Kiyoshi Izumi GAN 41 6 0 28 Apr 2022
Generative Adversarial Networks for Image Augmentation in Agriculture: A Systematic Review E. Olaniyi Dong Chen Yuzhen Lu Ya-Yu Huang 21 38 0 10 Apr 2022
Normalizing Flow-based Day-Ahead Wind Power Scenario Generation for Profitable and Reliable Delivery Commitments by Wind Farm Operators Eike Cramer Leonard Paeleke Alexander Mitsos Manuel Dahmen 24 11 0 05 Apr 2022
Testing Feedforward Neural Networks Training Programs Houssem Ben Braiek Foutse Khomh AAML 11 14 0 01 Apr 2022
High-resolution Face Swapping via Latent Semantics Disentanglement Yangyang Xu Bailin Deng Junle Wang Yanqing Jing Jianxiong Pan Shengfeng He CVBM PICV 37 75 0 30 Mar 2022
Bayesian Inversion for Nonlinear Imaging Models using Deep Generative Priors Pakshal Bohra Thanh-an Michel Pham Jonathan Dong M. Unser MedIm 23 11 0 18 Mar 2022
A review of Generative Adversarial Networks for Electronic Health Records: applications, evaluation measures and data sources Ghadeer O. Ghosheh Jin Li T. Zhu 35 32 0 14 Mar 2022
A Tutorial on Adversarial Learning Attacks and Countermeasures Cato Pauling Michael Gimson Muhammed Qaid Ahmad Kida Basel Halak AAML 25 11 0 21 Feb 2022
Autoencoding Low-Resolution MRI for Semantically Smooth Interpolation of Anisotropic MRI Jörg Sander B. D. de Vos Ivana Ivsgum DiffM MedIm 13 15 0 18 Feb 2022
Rates of convergence for nonparametric estimation of singular distributions using generative adversarial networks Minwoo Chae GAN 32 4 0 07 Feb 2022
Generalization Metrics for Practical Quantum Advantage in Generative Models Kaitlin Gili M. Mauri A. Perdomo-Ortiz 38 7 0 21 Jan 2022
A Survey on Training Challenges in Generative Adversarial Networks for Biomedical Image Analysis Muhammad Muneeb Saad Ruairi O'Reilly M. H. Rehmani MedIm 44 35 0 19 Jan 2022
High-Precision Inversion of Dynamic Radiography Using Hydrodynamic Features Maliha Hossain B. Nadiga O. Korobkin M. Klasky J. L. Schei J. Burby Michael T. McCann T. Wilcox Soumi De Charles A. Bouman AI4CE MedIm 11 7 0 02 Dec 2021
Data Augmentation For Medical MR Image Using Generative Adversarial Networks Panjian Huang Xu Liu Yongzhen Huang OOD MedIm 17 10 0 29 Nov 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
Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data Liming Jiang Bo Dai Wayne Wu Chen Change Loy 89 104 0 12 Nov 2021
GraN-GAN: Piecewise Gradient Normalization for Generative Adversarial Networks Vineeth S. Bhaskara Tristan Aumentado-Armstrong Allan D. Jepson Alex Levinshtein GAN 43 5 0 04 Nov 2021
Smooth Imitation Learning via Smooth Costs and Smooth Policies Sapana Chaudhary Balaraman Ravindran 24 1 0 03 Nov 2021
Don't Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence Tianshi Cao Alex Bie Arash Vahdat Sanja Fidler Karsten Kreis SyDa DiffM 19 71 0 01 Nov 2021
Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training Minguk Kang Woohyeon Shim Minsu Cho Jaesik Park GAN 39 108 0 01 Nov 2021
Projected GANs Converge Faster Axel Sauer Kashyap Chitta Jens Muller Andreas Geiger 47 234 0 01 Nov 2021
Validation Methods for Energy Time Series Scenarios from Deep Generative Models Eike Cramer L. R. Gorjão Alexander Mitsos B. Schäfer D. Witthaut Manuel Dahmen 21 16 0 27 Oct 2021
An Empirical Study on GANs with Margin Cosine Loss and Relativistic Discriminator Cuong V. Nguyen Tien-Dung Cao Tram Truong-Huu Khanh Pham Binh T. Nguyen GAN 18 3 0 21 Oct 2021
Efficient Gradient Flows in Sliced-Wasserstein Space Clément Bonet Nicolas Courty Franccois Septier Lucas Drumetz 34 21 0 21 Oct 2021