Representation Learning

Efficient Nonlinear Markov Models for Human Motion CVPR 2014 Elementary Estimators for Graphical Models NeurIPS 2014 Elementary Estimators for Sparse Covariance Matrices and other Structured Moments ICML 2014 Encoding High Dimensional Local Features by Sparse Coding Based Fisher Vectors NeurIPS 2014 Estimating Dependency Structures for non-Gaussian Components with Linear and Energy Correlations AISTATS 2014 Estimating Latent-Variable Graphical Models using Moments and Likelihoods ICML 2014 Exclusive Feature Learning on Arbitrary Structures via ℓ_1,2-norm NeurIPS 2014 Expectation Backpropagation: Parameter-Free Training of Multilayer Neural Networks with Continuous or Discrete Weights NeurIPS 2014 Expectation Propagation for Likelihoods Depending on an Inner Product of Two Multivariate Random Variables AISTATS 2014 Extracting Latent Structure From Multiple Interacting Neural Populations NeurIPS 2014 Facial Expression Recognition via a Boosted Deep Belief Network CVPR 2014 Factorized Point Process Intensities: A Spatial Analysis of Professional Basketball ICML 2014 Fast and Robust Archetypal Analysis for Representation Learning CVPR 2014 Fast Multivariate Spatio-temporal Analysis via Low Rank Tensor Learning NeurIPS 2014 Fast Supervised Hashing with Decision Trees for High-Dimensional Data CVPR 2014 Feedforward Learning of Mixture Models NeurIPS 2014 Finding a sparse vector in a subspace: Linear sparsity using alternating directions NeurIPS 2014 Fisher and VLAD with FLAIR CVPR 2014 From Stochastic Grammar to Bayes Network: Probabilistic Parsing of Complex Activity CVPR 2014 Fugue: Slow-Worker-Agnostic Distributed Learning for Big Models on Big Data AISTATS 2014 Gaussian Copula Precision Estimation with Missing Values AISTATS 2014 Generalized Higher-Order Orthogonal Iteration for Tensor Decomposition and Completion NeurIPS 2014 Generalized Max Pooling CVPR 2014 Generalized Nonconvex Nonsmooth Low-Rank Minimization CVPR 2014 Generalized Unsupervised Manifold Alignment NeurIPS 2014