variational autoencoder

The Autoencoding Variational Autoencoder NeurIPS 2020 Theory and Evaluation Metrics for Learning Disentangled Representations ICLR 2020 The Usual Suspects? Reassessing Blame for VAE Posterior Collapse ICML 2020 Topic Enhanced Controllable CVAE for Dialogue Generation (Student Abstract) AAAI 2020 Towards Consistent Variational Auto-Encoding (Student Abstract) AAAI 2020 Towards Visually Explaining Variational Autoencoders CVPR 2020 UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders CVPR 2020 Uncertainty-Aware Deep Classifiers Using Generative Models AAAI 2020 Undirected Graphical Models as Approximate Posteriors ICML 2020 Universally Quantized Neural Compression NeurIPS 2020 Unsupervised Few-Bits Semantic Hashing with Implicit Topics Modeling EMNLP 2020 Unsupervised Learning for Sequence-to-Sequence Text-to-Speech for Low-Resource Languages Interspeech 2020 Unsupervised Learning of Lagrangian Dynamics from Images for Prediction and Control NeurIPS 2020 Unsupervised Model Selection for Variational Disentangled Representation Learning ICLR 2020 Unsupervised Opinion Summarization as Copycat-Review Generation ACL 2020 VAEM: a Deep Generative Model for Heterogeneous Mixed Type Data NeurIPS 2020 Variational Amodal Object Completion NeurIPS 2020 Variational Autoencoders and Nonlinear ICA: A Unifying Framework AISTATS 2020 Variational Autoencoders for Highly Multivariate Spatial Point Processes Intensities ICLR 2020 Variational Autoencoders for Sparse and Overdispersed Discrete Data AISTATS 2020 Variational Autoencoders with Riemannian Brownian Motion Priors ICML 2020 Variational Autoencoder with Embedded Student-t Mixture Model for Authorship Attribution COLING 2020 Variational Bayesian Quantization ICML 2020 Variational Hierarchical Dialog Autoencoder for Dialog State Tracking Data Augmentation EMNLP 2020 Variational Interaction Information Maximization for Cross-domain Disentanglement NeurIPS 2020