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Stabilizing Training of Generative Adversarial Networks through Regularization
25 May 2017
Kevin Roth
Aurelien Lucchi
Sebastian Nowozin
Thomas Hofmann
GAN
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Papers citing
"Stabilizing Training of Generative Adversarial Networks through Regularization"
50 / 241 papers shown
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Distribution Matching Distillation Meets Reinforcement Learning
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441
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Boosting Statistic Learning with Synthetic Data from Pretrained Large Models
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324
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Soft Diamond Regularizers for Deep Learning
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Takafumi Kanamori
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388
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Jaemoo Choi
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Myungjoo Kang
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Improving Neural Optimal Transport via Displacement Interpolation
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291
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332
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Training Class-Imbalanced Diffusion Model Via Overlap Optimization
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255
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Scalable Wasserstein Gradient Flow for Generative Modeling through Unbalanced Optimal Transport
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526
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Diffusive Gibbs Sampling
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Jiajun He
Mingtian Zhang
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598
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Chenguang Duan
Yuling Jiao
Jerry Zhijian Yang
238
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Representation Learning of Multivariate Time Series using Attention and Adversarial Training
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Sebastian Otte
OOD
AI4TS
161
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D3A-TS: Denoising-Driven Data Augmentation in Time Series
D. Martín
Juan Galán Páez
J. Borrego-Díaz
AI4TS
DiffM
333
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On the Noise Scheduling for Generating Plausible Designs with Diffusion Models
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L. Vuaille
Thomas Bäck
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DiffM
253
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Matching aggregate posteriors in the variational autoencoder
International Conference on Pattern Recognition (ICPR), 2023
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Sarang Joshi
Ross T. Whitaker
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351
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445
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Jaemoo Choi
Jaewoong Choi
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397
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Statistically Optimal Generative Modeling with Maximum Deviation from the Empirical Distribution
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Elen Vardanyan
Sona Hunanyan
T. Galstyan
A. Minasyan
A. Dalalyan
457
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Synthesis of Batik Motifs using a Diffusion -- Generative Adversarial Network
One Octadion
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215
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Conference on Algebraic Informatics (CAI), 2023
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Thomas Bäck
AI4CE
219
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Stability Analysis Framework for Particle-based Distance GANs with Wasserstein Gradient Flow
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Yue Wu
Yang Xiang
GAN
226
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Data Interpolants -- That's What Discriminators in Higher-order Gradient-regularized GANs Are
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C. Seelamantula
293
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Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport
Neural Information Processing Systems (NeurIPS), 2023
Jaemoo Choi
Jaewoong Choi
Myung-joo Kang
OT
732
36
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24 May 2023
PPGenCDR: A Stable and Robust Framework for Privacy-Preserving Cross-Domain Recommendation
AAAI Conference on Artificial Intelligence (AAAI), 2023
Xinting Liao
Weiming Liu
Xiaolin Zheng
Binhui Yao
Chaochao Chen
370
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Class-Balancing Diffusion Models
Computer Vision and Pattern Recognition (CVPR), 2023
Yiming Qin
Huangjie Zheng
Jiangchao Yao
Mingyuan Zhou
Ya Zhang
DiffM
385
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30 Apr 2023
Machine Learning and the Future of Bayesian Computation
Steven Winter
Trevor Campbell
Lizhen Lin
Sanvesh Srivastava
David B. Dunson
TPM
437
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Generating artificial digital image correlation data using physics-guided adversarial networks
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Erik Schultheis
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GAN
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328
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687
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Better Generative Replay for Continual Federated Learning
International Conference on Learning Representations (ICLR), 2023
Daiqing Qi
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366
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Free Lunch for Domain Adversarial Training: Environment Label Smoothing
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Qingsong Wen
Jian Liang
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345
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Robust Cross-vendor Mammographic Texture Models Using Augmentation-based Domain Adaptation for Long-term Breast Cancer Risk
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Andreas D. Lauritzen
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Mads Nielsen
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159
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Safe Imitation Learning of Nonlinear Model Predictive Control for Flexible Robots
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
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Rudolf Reiter
Seyed Mahdi Basiri Azad
Joschka Boedecker
Moritz Diehl
Jan Swevers
300
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DigGAN: Discriminator gradIent Gap Regularization for GAN Training with Limited Data
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Tian Ding
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193
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Y. Shin
306
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A Differentiable Distance Approximation for Fairer Image Classification
Asian Conference on Computer Vision (ACCV), 2022
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Tom Drummond
Mehrtash Harandi
280
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