latent variable model

Diversifying Reply Suggestions Using a Matching-Conditional Variational Autoencoder NAACL 2019 Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives ICLR 2019 DP-GP-LVM: A Bayesian Non-Parametric Model for Learning Multivariate Dependency Structures ICML 2019 FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow EMNLP 2019 Gaussian Process Latent Variable Alignment Learning AISTATS 2019 Generalization in Generation: A closer look at Exposure Bias EMNLP 2019 Generalized Majorization-Minimization ICML 2019 Generic Inference in Latent Gaussian Process Models JMLR 2019 Global Convergence of the EM Algorithm for Mixtures of Two Component Linear Regression COLT 2019 Implicit Deep Latent Variable Models for Text Generation EMNLP 2019 Improved Conditional VRNNs for Video Prediction ICCV 2019 Inferring Multidimensional Rates of Aging from Cross-Sectional Data AISTATS 2019 Joint PLDA for Simultaneous Modeling of Two Factors JMLR 2019 Latent Part-of-Speech Sequences for Neural Machine Translation EMNLP 2019 Latent-Variable Generative Models for Data-Efficient Text Classification EMNLP 2019 Latent Variable Model for Multi-modal Translation ACL 2019 LayoutVAE: Stochastic Scene Layout Generation From a Label Set ICCV 2019 Learning Attribute Patterns in High-Dimensional Structured Latent Attribute Models JMLR 2019 Learning Procedural Abstractions and Evaluating Discrete Latent Temporal Structure ICLR 2019 Maximum Likelihood for Gaussian Process Classification and Generalized Linear Mixed Models under Case-Control Sampling JMLR 2019 Meta-Inverse Reinforcement Learning with Probabilistic Context Variables NeurIPS 2019 Mixture Models for Diverse Machine Translation: Tricks of the Trade ICML 2019 Modelling Instance-Level Annotator Reliability for Natural Language Labelling Tasks NAACL 2019 Multi-Agent Reinforcement Learning with Multi-Step Generative Models CoRL 2019 Multilingual Factor Analysis ACL 2019