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Representation Learning

18863 directly classified papers

Papers per year

Papers

Polynomial Semantic Indexing NIPS 2009
Refinement of Reproducing Kernels JMLR 2009
On Relevant Dimensions in Kernel Feature Spaces JMLR 2008
Learning to Combine Motor Primitives Via Greedy Additive Regression JMLR 2008
Minimal Nonlinear Distortion Principle for Nonlinear Independent Component Analysis JMLR 2008
Randomized Online PCA Algorithms with Regret Bounds that are Logarithmic in the Dimension JMLR 2008
Visualizing Data using t-SNE JMLR 2008
On the Equivalence of Linear Dimensionality-Reducing Transformations JMLR 2008
Optimal Solutions for Sparse Principal Component Analysis JMLR 2008
Bridging the Gap of Abstraction for Probabilistic Decision Making on a Multi-Modal Service Robot RSS 2008
Dynamic Hierarchical Markov Random Fields for Integrated Web Data Extraction JMLR 2008
Universal Multi-Task Kernels JMLR 2008
A New Algorithm for Estimating the Effective Dimension-Reduction Subspace JMLR 2008
Convergence and Rate of Convergence of a Manifold-Based Dimension Reduction Algorithm NIPS 2008
Scalable Algorithms for String Kernels with Inexact Matching NIPS 2008
Characteristic Kernels on Groups and Semigroups NIPS 2008
Using matrices to model symbolic relationship NIPS 2008
Dependence of Orientation Tuning on Recurrent Excitation and Inhibition in a Network Model of V1 NIPS 2008
Multiscale Random Fields with Application to Contour Grouping NIPS 2008
Simple Local Models for Complex Dynamical Systems NIPS 2008
Non-stationary dynamic Bayesian networks NIPS 2008
Logistic Normal Priors for Unsupervised Probabilistic Grammar Induction NIPS 2008
Interpreting the neural code with Formal Concept Analysis NIPS 2008
Extended Grassmann Kernels for Subspace-Based Learning NIPS 2008
Unsupervised Learning of Visual Sense Models for Polysemous Words NIPS 2008