mode collapse

Chi-square Generative Adversarial Network ICML 2018 Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields ICLR 2018 Disconnected Manifold Learning for Generative Adversarial Networks NeurIPS 2018 DiverseNet: When One Right Answer Is Not Enough CVPR 2018 Do GANs learn the distribution? Some Theory and Empirics ICLR 2018 Geometric Enclosing Networks IJCAI 2018 Geometry Score: A Method For Comparing Generative Adversarial Networks ICML 2018 Global Versus Localized Generative Adversarial Nets CVPR 2018 Leveraging the Exact Likelihood of Deep Latent Variable Models NeurIPS 2018 Logo Synthesis and Manipulation With Clustered Generative Adversarial Networks CVPR 2018 MGAN: Training Generative Adversarial Nets with Multiple Generators ICLR 2018 Mixed batches and symmetric discriminators for GAN training ICML 2018 Multi-Agent Diverse Generative Adversarial Networks CVPR 2018 On GANs and GMMs NeurIPS 2018 On the Discrimination-Generalization Tradeoff in GANs ICLR 2018 On the Limitations of First-Order Approximation in GAN Dynamics ICML 2018 PacGAN: The power of two samples in generative adversarial networks NeurIPS 2018 PixelNN: Example-based Image Synthesis ICLR 2018 SGAN: An Alternative Training of Generative Adversarial Networks CVPR 2018 Toward Diverse Text Generation with Inverse Reinforcement Learning IJCAI 2018 TRAINING GENERATIVE ADVERSARIAL NETWORKS VIA PRIMAL-DUAL SUBGRADIENT METHODS: A LAGRANGIAN PERSPECTIVE ON GAN ICLR 2018 AdaGAN: Boosting Generative Models NeurIPS 2017 Bayesian GAN NeurIPS 2017 Dual Discriminator Generative Adversarial Nets NeurIPS 2017 Toward Multimodal Image-to-Image Translation NeurIPS 2017