Models

A Scalable Approach to Probabilistic Latent Space Inference of Large-Scale Networks NeurIPS 2013 Augmenting CRFs with Boltzmann Machine Shape Priors for Image Labeling CVPR 2013 Bayesian Canonical Correlation Analysis JMLR 2013 Characterizing Layouts of Outdoor Scenes Using Spatial Topic Processes ICCV 2013 Class Generative Models Based on Feature Regression for Pose Estimation of Object Categories CVPR 2013 Deep Fisher Networks for Large-Scale Image Classification NeurIPS 2013 Deep Gaussian Processes AISTATS 2013 Deep Learning Shape Priors for Object Segmentation CVPR 2013 Dense Variational Reconstruction of Non-rigid Surfaces from Monocular Video CVPR 2013 Distributed Representations of Words and Phrases and their Compositionality NeurIPS 2013 Extracting regions of interest from biological images with convolutional sparse block coding NeurIPS 2013 Generalized Denoising Auto-Encoders as Generative Models NeurIPS 2013 Global Analytic Solution of Fully-observed Variational Bayesian Matrix Factorization JMLR 2013 Global Solver and Its Efficient Approximation for Variational Bayesian Low-rank Subspace Clustering NeurIPS 2013 GPstuff: Bayesian Modeling with Gaussian Processes JMLR 2013 Infinite Positive Semidefinite Tensor Factorization for Source Separation of Mixture Signals ICML 2013 Integrated Non-Factorized Variational Inference NeurIPS 2013 LDA Topic Model with Soft Assignment of Descriptors to Words ICML 2013 Learning Stochastic Feedforward Neural Networks NeurIPS 2013 Learning the Structure of Sum-Product Networks ICML 2013 Learning word embeddings efficiently with noise-contrastive estimation NeurIPS 2013 Memoized Online Variational Inference for Dirichlet Process Mixture Models NeurIPS 2013 Multi-image Blind Deblurring Using a Coupled Adaptive Sparse Prior CVPR 2013 Multi-Prediction Deep Boltzmann Machines NeurIPS 2013 On the Representational Efficiency of Restricted Boltzmann Machines NeurIPS 2013