Three-Player Wasserstein GAN via Amortised Duality
暂无分享,去创建一个
Nhan Dam | Trung Le | Tu Dinh Nguyen | Hung Bui | Dinh Phung | Quan Hoang | Dinh Q. Phung | H. Bui | Trung Le | T. Nguyen | Q. Hoang | Nhan Dam
[1] Zoubin Ghahramani,et al. Training generative neural networks via Maximum Mean Discrepancy optimization , 2015, UAI.
[2] Alexei A. Efros,et al. Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[3] Yaping Zhang,et al. Dual Discriminator Generative Adversarial Network for Single Image Super-Resolution , 2019, 2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI).
[4] Trung Le,et al. MGAN: Training Generative Adversarial Nets with Multiple Generators , 2018, ICLR.
[5] Xiaogang Wang,et al. Deep Learning Face Attributes in the Wild , 2014, 2015 IEEE International Conference on Computer Vision (ICCV).
[6] Aaron C. Courville,et al. Improved Training of Wasserstein GANs , 2017, NIPS.
[7] Ian J. Goodfellow,et al. NIPS 2016 Tutorial: Generative Adversarial Networks , 2016, ArXiv.
[8] Yuichi Yoshida,et al. Spectral Normalization for Generative Adversarial Networks , 2018, ICLR.
[9] Sepp Hochreiter,et al. GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium , 2017, NIPS.
[10] Jiajun Wu,et al. Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling , 2016, NIPS.
[11] Wojciech Zaremba,et al. Improved Techniques for Training GANs , 2016, NIPS.
[12] Trung Le,et al. Geometric Enclosing Networks , 2017, IJCAI.
[13] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[14] Martín Abadi,et al. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems , 2016, ArXiv.
[15] Alex Krizhevsky,et al. Learning Multiple Layers of Features from Tiny Images , 2009 .
[16] Xiang Wei,et al. Improving the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual Effect , 2018, ICLR.
[17] Sebastian Nowozin,et al. f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization , 2016, NIPS.
[18] Dimitris N. Metaxas,et al. StackGAN: Text to Photo-Realistic Image Synthesis with Stacked Generative Adversarial Networks , 2016, 2017 IEEE International Conference on Computer Vision (ICCV).
[19] F. Santambrogio. Optimal Transport for Applied Mathematicians: Calculus of Variations, PDEs, and Modeling , 2015 .
[20] C. Villani. Optimal Transport: Old and New , 2008 .
[21] Léon Bottou,et al. Wasserstein Generative Adversarial Networks , 2017, ICML.
[22] Trung Le,et al. Learning Generative Adversarial Networks from Multiple Data Sources , 2019, IJCAI.
[23] Michael I. Jordan,et al. Advances in Neural Information Processing Systems 30 , 1995 .
[24] Soumith Chintala,et al. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks , 2015, ICLR.