Generative Models

DMC-Net: Generating Discriminative Motion Cues for Fast Compressed Video Action Recognition CVPR 2019 DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-To-Image Synthesis CVPR 2019 Doc2hash: Learning Discrete Latent variables for Documents Retrieval NAACL 2019 Document Hashing with Mixture-Prior Generative Models EMNLP 2019 Document Informed Neural Autoregressive Topic Models with Distributional Prior AAAI 2019 Do Deep Generative Models Know What They Don't Know? ICLR 2019 Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse NeurIPS 2019 Doubly Semi-Implicit Variational Inference AISTATS 2019 DppNet: Approximating Determinantal Point Processes with Deep Networks NeurIPS 2019 Dual Adversarial Inference for Text-to-Image Synthesis ICCV 2019 Dual Adversarial Semantics-Consistent Network for Generalized Zero-Shot Learning NeurIPS 2019 DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer ICCV 2019 Dual Semi-Supervised Learning for Facial Action Unit Recognition AAAI 2019 D-VAE: A Variational Autoencoder for Directed Acyclic Graphs NeurIPS 2019 E²GAN: End-to-End Generative Adversarial Network for Multivariate Time Series Imputation IJCAI 2019 Efficient Graph Generation with Graph Recurrent Attention Networks NeurIPS 2019 Embarrassingly Parallel MCMC using Deep Invertible Transformations UAI 2019 Emergence of Object Segmentation in Perturbed Generative Models NeurIPS 2019 Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset ICLR 2019 End-to-End Accented Speech Recognition Interspeech 2019 End-To-End Supervised Product Quantization for Image Search and Retrieval CVPR 2019 End-To-End Time-Lapse Video Synthesis From a Single Outdoor Image CVPR 2019 End-to-end Training of Deep Probabilistic CCA on Paired Biomedical Observations UAI 2019 Energy and Policy Considerations for Deep Learning in NLP ACL 2019 Energy-Inspired Models: Learning with Sampler-Induced Distributions NeurIPS 2019