← Core Methods
Machine Learning › Core Methods ›

Representation Learning

18863 directly classified papers

Papers per year

Papers

Generalized Hierarchical Kernel Learning JMLR 2015
Online PCA with Spectral Bounds COLT 2015
SnFFT: A Julia Toolkit for Fourier Analysis of Functions over Permutations JMLR 2015
Fast Mixing for Discrete Point Processes COLT 2015
Marginalizing Stacked Linear Denoising Autoencoders JMLR 2015
Linear Dimensionality Reduction: Survey, Insights, and Generalizations JMLR 2015
Discrete Restricted Boltzmann Machines JMLR 2015
Symmetric Iterative Proportional Fitting AISTATS 2015
Calibrated Multivariate Regression with Application to Neural Semantic Basis Discovery JMLR 2015
Temporally Coherent Interpretations for Long Videos Using Pattern Theory CVPR 2015
Membership Representation for Detecting Block-Diagonal Structure in Low-Rank or Sparse Subspace Clustering CVPR 2015
Deep LAC: Deep Localization, Alignment and Classification for Fine-Grained Recognition CVPR 2015
Illumination and Reflectance Spectra Separation of a Hyperspectral Image Meets Low-Rank Matrix Factorization CVPR 2015
Texture Representations for Image and Video Synthesis CVPR 2015
The Stitched Puppet: A Graphical Model of 3D Human Shape and Pose CVPR 2015
Modelling Policies in MDPs in Reproducing Kernel Hilbert Space AISTATS 2015
Learning of Non-Parametric Control Policies with High-Dimensional State Features AISTATS 2015
Kernel Interpolation for Scalable Structured Gaussian Processes (KISS-GP) ICML 2015
Stay on path: PCA along graph paths ICML 2015
Partial Person Re-Identification ICCV 2015
Person Re-Identification With Discriminatively Trained Viewpoint Invariant Dictionaries ICCV 2015
A Supervised Low-Rank Method for Learning Invariant Subspaces ICCV 2015
Learning Discriminative Reconstructions for Unsupervised Outlier Removal ICCV 2015
Dynamic Texture Recognition via Orthogonal Tensor Dictionary Learning ICCV 2015
Tensor principal component analysis via sum-of-square proofs COLT 2015