Models

Detecting Overfitting of Deep Generative Networks via Latent Recovery CVPR 2019 Deterministic Variational Inference for Robust Bayesian Neural Networks ICLR 2019 Diagnosing and Enhancing VAE Models ICLR 2019 Diagnosing Dysarthria with Long Short-Term Memory Networks Interspeech 2019 DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder ICLR 2019 Differentiable Antithetic Sampling for Variance Reduction in Stochastic Variational Inference AISTATS 2019 Differentiable Perturb-and-Parse: Semi-Supervised Parsing with a Structured Variational Autoencoder ICLR 2019 Differentiable Probabilistic Models of Scientific Imaging with the Fourier Slice Theorem UAI 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 Dirichlet Latent Variable Hierarchical Recurrent Encoder-Decoder in Dialogue Generation EMNLP 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 Relational Representations for Explaining and Learning from Demonstration CoRL 2019 Disentangled Representation Learning for Non-Parallel Text Style Transfer ACL 2019 Disentangled Variational Representation for Heterogeneous Face Recognition AAAI 2019 Disentangling Disentanglement in Variational Autoencoders ICML 2019 Disentangling Latent Hands for Image Synthesis and Pose Estimation CVPR 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