Stabilizing Training of Generative Adversarial Networks through Regularization

25 May 2017

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

50 / 86 papers shown

Title
Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Jialong Jiang Wenkang Hu Jian Huang Yuling Jiao Xu Liu DiffM 50 0 0 08 May 2025
Unsupervised Anomaly Detection in Multivariate Time Series across Heterogeneous Domains Vincent Jacob Y. Diao AI4TS 46 0 0 29 Mar 2025
Nested Annealed Training Scheme for Generative Adversarial Networks Chang Wan Ming-Hsuan Yang Minglu Li Yunliang Jiang Zhonglong Zheng GAN 38 0 0 20 Jan 2025
New Perspectives on Regularization and Computation in Optimal Transport-Based Distributionally Robust Optimization Soroosh Shafieezadeh-Abadeh Liviu Aolaritei Florian Dorfler Daniel Kuhn 58 20 0 31 Dec 2024
Imitation from Diverse Behaviors: Wasserstein Quality Diversity Imitation Learning with Single-Step Archive Exploration Xingrui Yu Zhenglin Wan David Mark Bossens Yueming Lyu Qing-Wu Guo Ivor W. Tsang 141 0 0 11 Nov 2024
Improving Neural Optimal Transport via Displacement Interpolation Jaemoo Choi Yongxin Chen Jaewoong Choi OT 50 0 0 03 Oct 2024
CLoG: Benchmarking Continual Learning of Image Generation Models Haotian Zhang Junting Zhou Haowei Lin Hang Ye Jianhua Zhu Zihao Wang Liangcai Gao Yizhou Wang Yitao Liang DiffM VLM 37 1 0 07 Jun 2024
Does Diffusion Beat GAN in Image Super Resolution? Denis Kuznedelev Valerii Startsev Daniil Shlenskii Sergey Kastryulin 44 4 0 27 May 2024
On the Noise Scheduling for Generating Plausible Designs with Diffusion Models Jiajie Fan L. Vuaille Thomas Bäck Hao Wang DiffM 13 6 0 19 Nov 2023
Matching aggregate posteriors in the variational autoencoder Surojit Saha Sarang Joshi Ross T. Whitaker DRL 34 4 0 13 Nov 2023
MCRAGE: Synthetic Healthcare Data for Fairness Keira Behal Jiayi Chen Caleb Fikes Sophia Xiao SyDa MedIm 32 1 0 27 Oct 2023
Training Image Derivatives: Increased Accuracy and Universal Robustness V. Avrutskiy 46 0 0 21 Oct 2023
Adversarial Latent Autoencoder with Self-Attention for Structural Image Synthesis Jiajie Fan L. Vuaille Hongya Wang Thomas Bäck AI4CE 22 5 0 19 Jul 2023
Stability Analysis Framework for Particle-based Distance GANs with Wasserstein Gradient Flow Chuqi Chen Yue Wu Yang Xiang GAN 17 0 0 04 Jul 2023
Data Interpolants -- That's What Discriminators in Higher-order Gradient-regularized GANs Are Siddarth Asokan C. Seelamantula 32 4 0 01 Jun 2023
Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport Jaemoo Choi Jaewoong Choi Myung-joo Kang OT 36 19 0 24 May 2023
PPGenCDR: A Stable and Robust Framework for Privacy-Preserving Cross-Domain Recommendation Xinting Liao Weiming Liu Xiaolin Zheng Binhui Yao Chaochao Chen 36 13 0 11 May 2023
Machine Learning and the Future of Bayesian Computation Steven Winter Trevor Campbell Lizhen Lin Sanvesh Srivastava David B. Dunson TPM 45 4 0 21 Apr 2023
Better Generative Replay for Continual Federated Learning Daiqing Qi Handong Zhao Sheng Li FedML 24 46 0 25 Feb 2023
Robust Cross-vendor Mammographic Texture Models Using Augmentation-based Domain Adaptation for Long-term Breast Cancer Risk Andreas D. Lauritzen M. V. von Euler-Chelpin E. Lynge I. Vejborg Mads Nielsen N. Karssemeijer M. Lillholm 19 3 0 27 Dec 2022
DigGAN: Discriminator gradIent Gap Regularization for GAN Training with Limited Data Tiantian Fang Ruoyu Sun A. Schwing GAN 25 16 0 27 Nov 2022
A Differentiable Distance Approximation for Fairer Image Classification Nicholas Rosa Tom Drummond Mehrtash Harandi 18 0 0 09 Oct 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
Non-Iterative Recovery from Nonlinear Observations using Generative Models Jiulong Liu Zhaoqiang Liu 38 11 0 31 May 2022
Testing Feedforward Neural Networks Training Programs Houssem Ben Braiek Foutse Khomh AAML 11 14 0 01 Apr 2022
Generalization Metrics for Practical Quantum Advantage in Generative Models Kaitlin Gili M. Mauri A. Perdomo-Ortiz 38 7 0 21 Jan 2022
Autoencoding Video Latents for Adversarial Video Generation Sai Hemanth Kasaraneni VGen 24 3 0 18 Jan 2022
A Novel Generator with Auxiliary Branch for Improving GAN Performance Seung-won Park Y. Shin 24 7 0 30 Dec 2021
Manifold Learning Benefits GANs Yao Ni Piotr Koniusz Richard I. Hartley Richard Nock GAN 31 16 0 23 Dec 2021
Generative Convolution Layer for Image Generation Seung-won Park Y. Shin 18 11 0 30 Nov 2021
Towards Principled Disentanglement for Domain Generalization Hanlin Zhang Yi-Fan Zhang Weiyang Liu Adrian Weller Bernhard Schölkopf Eric P. Xing OOD 39 112 0 27 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
Synthetic flow-based cryptomining attack generation through Generative Adversarial Networks Alberto Mozo Ángel González-Prieto Antonio Agustin Pastor Perales Sandra Gómez Canaval Edgar Talavera 19 23 0 30 Jul 2021
Regularizing Generative Adversarial Networks under Limited Data Hung-Yu Tseng Lu Jiang Ce Liu Ming-Hsuan Yang Weilong Yang GAN 35 142 0 07 Apr 2021
Text to Image Generation with Semantic-Spatial Aware GAN Kaiqin Hu Wentong Liao M. Yang Bodo Rosenhahn 30 115 0 01 Apr 2021
A Brief Introduction to Generative Models Alex Lamb GAN VLM 16 16 0 27 Feb 2021
Denoising Score Matching with Random Fourier Features Olga Tsymboi Yermek Kapushev Evgeny Burnaev Ivan V. Oseledets 31 1 0 13 Jan 2021
Learning quantum data with the quantum Earth Mover's distance B. Kiani Giacomo De Palma M. Marvian Zi-Wen Liu S. Lloyd 21 45 0 08 Jan 2021
Advances in Electron Microscopy with Deep Learning Jeffrey M. Ede 32 2 0 04 Jan 2021
Probability-Density-Based Deep Learning Paradigm for the Fuzzy Design of Functional Metastructures Yingtao Luo Peng-Qi Li Dongting Li Yugui Peng Zhi-Guo Geng Shu-Huan Xie Yong Li A. Alú Jie Zhu Xue‐Feng Zhu 37 28 0 11 Nov 2020
On the Convergence of Gradient Descent in GANs: MMD GAN As a Gradient Flow Youssef Mroueh Truyen V. Nguyen 29 25 0 04 Nov 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 34 79 0 17 Sep 2020
ARPM-net: A novel CNN-based adversarial method with Markov Random Field enhancement for prostate and organs at risk segmentation in pelvic CT images Zhuangzhuang Zhang T. Zhao Hiram Gay Weixiong Zhang B. Sun MedIm 27 29 0 11 Aug 2020
Generative Adversarial Networks for Image and Video Synthesis: Algorithms and Applications Xuan Li Xun Huang Jiahui Yu Ting-Chun Wang Arun Mallya GAN 28 153 0 06 Aug 2020
Lookahead Adversarial Learning for Near Real-Time Semantic Segmentation Hadi Jamali Rad Attila Szabo SSeg 20 1 0 19 Jun 2020
Reparameterized Variational Divergence Minimization for Stable Imitation Dilip Arumugam Debadeepta Dey Alekh Agarwal Asli Celikyilmaz E. Nouri W. Dolan 25 3 0 18 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
Adversarial Latent Autoencoders Stanislav Pidhorskyi Donald Adjeroh Gianfranco Doretto GAN DRL 42 259 0 09 Apr 2020
Augmented Cyclic Consistency Regularization for Unpaired Image-to-Image Translation Takehiko Ohkawa Naoto Inoue Hirokatsu Kataoka Nakamasa Inoue 19 6 0 29 Feb 2020