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102 papers

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generative adversarial network (1944) image generation (2073) generative model (2892) latent space (854) neural network (6616) text generation (2913) image synthesis (603) adversarial training (1262) manifold learning (403) gradient descent (1144)

Papers

Normalized Diversification CVPR 2019
Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction CVPR 2019
CAGAN: Consistent Adversarial Training Enhanced GANs IJCAI 2018
A Classification-Based Study of Covariate Shift in GAN Distributions ICML 2018
SGAN: An Alternative Training of Generative Adversarial Networks CVPR 2018
Logo Synthesis and Manipulation With Clustered Generative Adversarial Networks CVPR 2018
On the Limitations of First-Order Approximation in GAN Dynamics ICML 2018
Multi-Agent Diverse Generative Adversarial Networks CVPR 2018
Mixed batches and symmetric discriminators for GAN training ICML 2018
On GANs and GMMs NIPS 2018
Leveraging the Exact Likelihood of Deep Latent Variable Models NIPS 2018
PacGAN: The power of two samples in generative adversarial networks NIPS 2018
Global Versus Localized Generative Adversarial Nets CVPR 2018
Disconnected Manifold Learning for Generative Adversarial Networks NIPS 2018
DiverseNet: When One Right Answer Is Not Enough CVPR 2018
BourGAN: Generative Networks with Metric Embeddings NIPS 2018
Geometric Enclosing Networks IJCAI 2018
Geometry Score: A Method For Comparing Generative Adversarial Networks ICML 2018
Adversarial Text Generation via Feature-Mover's Distance NIPS 2018
Toward Diverse Text Generation with Inverse Reinforcement Learning IJCAI 2018
Chi-square Generative Adversarial Network ICML 2018
Toward Multimodal Image-to-Image Translation NIPS 2017
AdaGAN: Boosting Generative Models NIPS 2017
Bayesian GAN NIPS 2017
Wasserstein Generative Adversarial Networks ICML 2017