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Representation Learning

20,822 papers

Papers per year

2
9
101
309
2011
2283
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Papers

Hierarchical Modeling of Local Image Features through $L_p$-Nested Symmetric Distributions NIPS 2009
Learning from Neighboring Strokes: Combining Appearance and Context for Multi-Domain Sketch Recognition NIPS 2009
Non-Parametric Bayesian Dictionary Learning for Sparse Image Representations NIPS 2009
Occlusive Components Analysis NIPS 2009
On the Algorithmics and Applications of a Mixed-norm based Kernel Learning Formulation NIPS 2009
Training Factor Graphs with Reinforcement Learning for Efficient MAP Inference NIPS 2009
An Additive Latent Feature Model for Transparent Object Recognition NIPS 2009
Learning Non-Linear Combinations of Kernels NIPS 2009
Conditional Neural Fields NIPS 2009
Robust Value Function Approximation Using Bilinear Programming NIPS 2009
Semi-supervised Regression using Hessian energy with an application to semi-supervised dimensionality reduction NIPS 2009
Reading Tea Leaves: How Humans Interpret Topic Models NIPS 2009
Refinement of Reproducing Kernels JMLR 2009
Low-Rank Kernel Learning with Bregman Matrix Divergences JMLR 2009
Polynomial-Delay Enumeration of Monotonic Graph Classes JMLR 2009
Universal Kernel-Based Learning with Applications to Regular Languages JMLR 2009
Learning Approximate Sequential Patterns for Classification JMLR 2009
Structure Spaces JMLR 2009
Reproducing Kernel Banach Spaces for Machine Learning JMLR 2009
Learning Bounded Treewidth Bayesian Networks NIPS 2008
Unifying the Sensory and Motor Components of Sensorimotor Adaptation NIPS 2008
Modeling human function learning with Gaussian processes NIPS 2008
Weighted Sums of Random Kitchen Sinks: Replacing minimization with randomization in learning NIPS 2008
Regularized Learning with Networks of Features NIPS 2008
Differentiable Sparse Coding NIPS 2008