variational autoencoder

Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing NAACL 2019 DAG-GNN: DAG Structure Learning with Graph Neural Networks ICML 2019 Data Augmentation for Spoken Language Understanding via Joint Variational Generation AAAI 2019 Data Augmentation Using Variational Autoencoder for Embedding Based Speaker Verification Interspeech 2019 Decoupling Sparsity and Smoothness in the Dirichlet Variational Autoencoder Topic Model JMLR 2019 Deep Bayesian Natural Language Processing ACL 2019 Deep Clustering by Gaussian Mixture Variational Autoencoders With Graph Embedding ICCV 2019 Deep Generative Learning via Variational Gradient Flow ICML 2019 Deep Generative Video Compression NeurIPS 2019 Deep Latent Generative Models for Energy Disaggregation AAAI 2019 Deep Random Splines for Point Process Intensity Estimation of Neural Population Data NeurIPS 2019 Diagnosing and Enhancing VAE Models ICLR 2019 DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder ICLR 2019 Differentiable Perturb-and-Parse: Semi-Supervised Parsing with a Structured Variational Autoencoder ICLR 2019 Direct Optimization through $\arg \max$ for Discrete Variational Auto-Encoder NeurIPS 2019 Discriminative Sample Generation for Deep Imbalanced Learning IJCAI 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 Diversifying Reply Suggestions Using a Matching-Conditional Variational Autoencoder NAACL 2019 Doc2hash: Learning Discrete Latent variables for Documents Retrieval NAACL 2019 Document Hashing with Mixture-Prior Generative Models EMNLP 2019 Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse NeurIPS 2019 Doubly Semi-Implicit Variational Inference AISTATS 2019 Dual Variational Generation for Low Shot Heterogeneous Face Recognition NeurIPS 2019