generative model

Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders NeurIPS 2019 Controllable Image-to-Video Translation: A Case Study on Facial Expression Generation AAAI 2019 Copulas as High-Dimensional Generative Models: Vine Copula Autoencoders NeurIPS 2019 Cross-Lingual Syntactic Transfer through Unsupervised Adaptation of Invertible Projections ACL 2019 CycleEmotionGAN: Emotional Semantic Consistency Preserved CycleGAN for Adapting Image Emotions AAAI 2019 DAG-GNN: DAG Structure Learning with Graph Neural Networks ICML 2019 Data Augmentation Based on Adversarial Autoencoder Handling Imbalance for Learning to Rank AAAI 2019 Data Programming for Learning Discourse Structure ACL 2019 Deep Anomaly Detection with Outlier Exposure ICLR 2019 Deep Generative Learning via Variational Gradient Flow ICML 2019 Deep Generative Video Compression NeurIPS 2019 Deep learning with differential Gaussian process flows AISTATS 2019 Deep Meta Functionals for Shape Representation ICCV 2019 Defending Neural Backdoors via Generative Distribution Modeling NeurIPS 2019 Detecting Overfitting of Deep Generative Networks via Latent Recovery CVPR 2019 Diagnosing and Enhancing VAE Models ICLR 2019 Differentiated Distribution Recovery for Neural Text Generation AAAI 2019 Discrete Object Generation with Reversible Inductive Construction NeurIPS 2019 Discriminative Regularization for Latent Variable Models with Applications to Electrocardiography ICML 2019 Disentangling Latent Space for VAE by Label Relevant/Irrelevant Dimensions CVPR 2019 Distributional Policy Optimization: An Alternative Approach for Continuous Control NeurIPS 2019 Divergence Triangle for Joint Training of Generator Model, Energy-Based Model, and Inferential Model CVPR 2019 Diverse Generation for Multi-Agent Sports Games CVPR 2019 Doc2hash: Learning Discrete Latent variables for Documents Retrieval NAACL 2019 Domain Intersection and Domain Difference ICCV 2019