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Representation Learning

18863 directly classified papers

Papers per year

Papers

Deflation Methods for Sparse PCA NIPS 2008
Resolution Limits of Sparse Coding in High Dimensions NIPS 2008
DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification NIPS 2008
Theory of matching pursuit NIPS 2008
The Conjoint Effect of Divisive Normalization and Orientation Selectivity on Redundancy Reduction NIPS 2008
Using Bayesian Dynamical Systems for Motion Template Libraries NIPS 2008
Diffeomorphic Dimensionality Reduction NIPS 2008
Learning Hybrid Models for Image Annotation with Partially Labeled Data NIPS 2008
Gates NIPS 2008
ICA based on a Smooth Estimation of the Differential Entropy NIPS 2008
The Gaussian Process Density Sampler NIPS 2008
Deep Learning with Kernel Regularization for Visual Recognition NIPS 2008
Sparse Signal Recovery Using Markov Random Fields NIPS 2008
The Infinite Factorial Hidden Markov Model NIPS 2008
Supervised Exponential Family Principal Component Analysis via Convex Optimization NIPS 2008
Nonparametric sparse hierarchical models describe V1 fMRI responses to natural images NIPS 2008
On the Equivalence of Linear Dimensionality-Reducing Transformations JMLR 2008
Visualizing Data using t-SNE JMLR 2008
Optimal Solutions for Sparse Principal Component Analysis JMLR 2008
Dynamic Hierarchical Markov Random Fields for Integrated Web Data Extraction JMLR 2008
Universal Multi-Task Kernels JMLR 2008
Graphical Methods for Efficient Likelihood Inference in Gaussian Covariance Models JMLR 2008
Bouligand Derivatives and Robustness of Support Vector Machines for Regression JMLR 2008
Differentiable Sparse Coding NIPS 2008
A New Algorithm for Estimating the Effective Dimension-Reduction Subspace JMLR 2008