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Towards a Better Global Loss Landscape of GANs NeurIPS 2020 A Domain Agnostic Measure for Monitoring and Evaluating GANs NeurIPS 2019 Adversarial Learning of Semantic Relevance in Text to Image Synthesis AAAI 2019 Approximability of Discriminators Implies Diversity in GANs ICLR 2019 BiHMP-GAN: Bidirectional 3D Human Motion Prediction GAN AAAI 2019 DISTRIBUTIONAL CONCAVITY REGULARIZATION FOR GANS ICLR 2019 Diversity-Sensitive Conditional Generative Adversarial Networks ICLR 2019 GDPP: Learning Diverse Generations using Determinantal Point Processes ICML 2019 Improving GAN with Neighbors Embedding and Gradient Matching AAAI 2019 Learning Generative Adversarial Networks from Multiple Data Sources IJCAI 2019 Mixture Density Generative Adversarial Networks CVPR 2019 Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis CVPR 2019 Normalized Diversification CVPR 2019 On-Line Adaptative Curriculum Learning for GANs AAAI 2019 Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction CVPR 2019 ProbGAN: Towards Probabilistic GAN with Theoretical Guarantees ICLR 2019 Revisiting precision recall definition for generative modeling ICML 2019 Seeing What a GAN Cannot Generate ICCV 2019 Self-supervised GAN: Analysis and Improvement with Multi-class Minimax Game NeurIPS 2019 Spectral Regularization for Combating Mode Collapse in GANs ICCV 2019 Training Language GANs from Scratch NeurIPS 2019 A Classification-Based Study of Covariate Shift in GAN Distributions ICML 2018 Adversarial Text Generation via Feature-Mover's Distance NeurIPS 2018 BourGAN: Generative Networks with Metric Embeddings NeurIPS 2018 CAGAN: Consistent Adversarial Training Enhanced GANs IJCAI 2018