hierarchical model

From Patches to Images: A Nonparametric Generative Model ICML 2017 Generative Hierarchical Learning of Sparse FRAME Models CVPR 2017 Hierarchically-partitioned Gaussian Process Approximation AISTATS 2017 Reducing Reparameterization Gradient Variance NeurIPS 2017 SPLICE: Fully Tractable Hierarchical Extension of ICA with Pooling ICML 2017 Unsupervised Learning of Disentangled and Interpretable Representations from Sequential Data NeurIPS 2017 Using Context Information for Dialog Act Classification in DNN Framework EMNLP 2017 Accelerated Generative Models for 3D Point Cloud Data CVPR 2016 A Hierarchical Deep Temporal Model for Group Activity Recognition CVPR 2016 An Architecture for Deep, Hierarchical Generative Models NeurIPS 2016 Augmentable Gamma Belief Networks JMLR 2016 Bayesian latent structure discovery from multi-neuron recordings NeurIPS 2016 Bottom-Up and Top-Down Reasoning With Hierarchical Rectified Gaussians CVPR 2016 Deep Neural Network Based Acoustic-to-Articulatory Inversion Using Phone Sequence Information Interspeech 2016 Hierarchical Probabilistic Matrix Factorization with Network Topology for Multi-relational Social Network ACML 2016 Joint Bayesian Modelling of Internal Dependencies and Relevant Multimorbidities of a Heterogeneous Disease PGM 2016 Variational Bayes on Monte Carlo Steroids NeurIPS 2016 Variational Gaussian Copula Inference AISTATS 2016 Video Paragraph Captioning Using Hierarchical Recurrent Neural Networks CVPR 2016 A Coarse-to-Fine Model for 3D Pose Estimation and Sub-Category Recognition CVPR 2015 Action Recognition by Hierarchical Mid-Level Action Elements ICCV 2015 A Framework for Individualizing Predictions of Disease Trajectories by Exploiting Multi-Resolution Structure NeurIPS 2015 A Multitask Point Process Predictive Model ICML 2015 Automated Facial Trait Judgment and Election Outcome Prediction: Social Dimensions of Face ICCV 2015 Automatic Variational Inference in Stan NeurIPS 2015