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Representation Learning

20,812 papers

Papers per year

2
9
101
309
2011
2283
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Papers

Clusters and Coarse Partitions in LP Relaxations NIPS 2008
Exploring Large Feature Spaces with Hierarchical Multiple Kernel Learning NIPS 2008
Dependence of Orientation Tuning on Recurrent Excitation and Inhibition in a Network Model of V1 NIPS 2008
Dynamic visual attention: searching for coding length increments NIPS 2008
Tracking Changing Stimuli in Continuous Attractor Neural Networks NIPS 2008
Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity NIPS 2008
Dimensionality Reduction for Data in Multiple Feature Representations NIPS 2008
Supervised Dictionary Learning NIPS 2008
Using matrices to model symbolic relationship NIPS 2008
Characteristic Kernels on Groups and Semigroups NIPS 2008
Spectral Hashing NIPS 2008
Sparse probabilistic projections NIPS 2008
Reducing statistical dependencies in natural signals using radial Gaussianization NIPS 2008
Learning Taxonomies by Dependence Maximization NIPS 2008
Localized Sliced Inverse Regression NIPS 2008
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