latent variable

Learning Ising and Potts Models with Latent Variables AISTATS 2020 Learning Linear Non-Gaussian Causal Models in the Presence of Latent Variables JMLR 2020 Learning Restricted Boltzmann Machines with Sparse Latent Variables NeurIPS 2020 Learning Robot Skills with Temporal Variational Inference ICML 2020 Like hiking? You probably enjoy nature: Persona-grounded Dialog with Commonsense Expansions EMNLP 2020 Linear-Sample Learning of Low-Rank Distributions NeurIPS 2020 Low-Resource Generation of Multi-hop Reasoning Questions ACL 2020 MCEN: Bridging Cross-Modal Gap between Cooking Recipes and Dish Images with Latent Variable Model CVPR 2020 Missing Values in Multiple Joint Inference of Gaussian Graphical Models PGM 2020 Modulating Surrogates for Bayesian Optimization ICML 2020 Multi-Speaker Emotion Conversion via Latent Variable Regularization and a Chained Encoder-Decoder-Predictor Network Interspeech 2020 Narrative Text Generation with a Latent Discrete Plan EMNLP 2020 Neural Data-to-Text Generation via Jointly Learning the Segmentation and Correspondence ACL 2020 Neural Decomposition: Functional ANOVA with Variational Autoencoders AISTATS 2020 On the Encoder-Decoder Incompatibility in Variational Text Modeling and Beyond ACL 2020 OOGAN: Disentangling GAN with One-Hot Sampling and Orthogonal Regularization AAAI 2020 Ordering-Based Causal Structure Learning in the Presence of Latent Variables AISTATS 2020 Posterior Control of Blackbox Generation ACL 2020 Recurrent Switching Dynamical Systems Models for Multiple Interacting Neural Populations NeurIPS 2020 Reverse-engineering recurrent neural network solutions to a hierarchical inference task for mice NeurIPS 2020 Semi-supervised Autoencoding Projective Dependency Parsing COLING 2020 Semi-Supervised Generative Modeling for Controllable Speech Synthesis ICLR 2020 Semi-supervised Parsing with a Variational Autoencoding Parser ACL 2020 Semi-supervised Sequential Generative Models UAI 2020 Single Episode Policy Transfer in Reinforcement Learning ICLR 2020