Generative Models

Defending Neural Backdoors via Generative Distribution Modeling NeurIPS 2019 Demonstration of PerformanceNet: A Convolutional Neural Network Model for Score-to-Audio Music Generation IJCAI 2019 Dense Intrinsic Appearance Flow for Human Pose Transfer CVPR 2019 Describing Like Humans: On Diversity in Image Captioning CVPR 2019 Detecting Overfitting of Deep Generative Networks via Latent Recovery CVPR 2019 Diagnosing and Enhancing VAE Models ICLR 2019 DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder ICLR 2019 Differentiable Antithetic Sampling for Variance Reduction in Stochastic Variational Inference AISTATS 2019 Differentiated Distribution Recovery for Neural Text Generation AAAI 2019 Digitally Stained Confocal Microscopy through Deep Learning MIDL 2019 Direct Optimization through $\arg \max$ for Discrete Variational Auto-Encoder NeurIPS 2019 Discrete Flows: Invertible Generative Models of Discrete Data NeurIPS 2019 Discrete Object Generation with Reversible Inductive Construction NeurIPS 2019 Discriminative Sample Generation for Deep Imbalanced Learning IJCAI 2019 Discriminator optimal transport NeurIPS 2019 Discriminator Rejection Sampling ICLR 2019 Disentangled Representation Learning for Non-Parallel Text Style Transfer ACL 2019 Disentangling Disentanglement in Variational Autoencoders ICML 2019 Disentangling Latent Space for VAE by Label Relevant/Irrelevant Dimensions CVPR 2019 DISTRIBUTIONAL CONCAVITY REGULARIZATION FOR GANS ICLR 2019 Distributional Multivariate Policy Evaluation and Exploration with the Bellman GAN ICML 2019 Distribution-Interpolation Trade off in Generative Models ICLR 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 Diversity-Sensitive Conditional Generative Adversarial Networks ICLR 2019