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Representation Learning

20,822 papers

Papers per year

2
9
101
309
2011
2283
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Papers

Unsupervised Learning of Visual Sense Models for Polysemous Words NIPS 2008
Extended Grassmann Kernels for Subspace-Based Learning NIPS 2008
Interpreting the neural code with Formal Concept Analysis NIPS 2008
Logistic Normal Priors for Unsupervised Probabilistic Grammar Induction NIPS 2008
Learning the Semantic Correlation: An Alternative Way to Gain from Unlabeled Text NIPS 2008
Non-stationary dynamic Bayesian networks NIPS 2008
Nonlinear causal discovery with additive noise models NIPS 2008
Simple Local Models for Complex Dynamical Systems NIPS 2008
Multiscale Random Fields with Application to Contour Grouping NIPS 2008
Scalable Algorithms for String Kernels with Inexact Matching NIPS 2008
Learning Control Knowledge for Forward Search Planning 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
Optimal Solutions for Sparse Principal Component Analysis JMLR 2008
Learning to Combine Motor Primitives Via Greedy Additive Regression JMLR 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
Learning Balls of Strings from Edit Corrections JMLR 2008
On Relevant Dimensions in Kernel Feature Spaces JMLR 2008
Manifold Learning: The Price of Normalization JMLR 2008
Randomized Online PCA Algorithms with Regret Bounds that are Logarithmic in the Dimension JMLR 2008
Minimal Nonlinear Distortion Principle for Nonlinear Independent Component Analysis JMLR 2008
On the Equivalence of Linear Dimensionality-Reducing Transformations JMLR 2008
Visualizing Data using t-SNE JMLR 2008