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Representation Learning

20,822 papers

Papers per year

2
9
101
309
2011
2283
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Papers

Bayesian Gaussian Process Latent Variable Model AISTATS 2010
Dependent Indian Buffet Processes AISTATS 2010
Online Learning for Matrix Factorization and Sparse Coding JMLR 2010
Information Retrieval Perspective to Nonlinear Dimensionality Reduction for Data Visualization JMLR 2010
Generalized Power Method for Sparse Principal Component Analysis JMLR 2010
On Learning with Integral Operators JMLR 2010
On Spectral Learning JMLR 2010
Graph Kernels JMLR 2010
FastInf: An Efficient Approximate Inference Library JMLR 2010
Bayesian Learning in Sparse Graphical Factor Models via Variational Mean-Field Annealing JMLR 2010
Practical Approaches to Principal Component Analysis in the Presence of Missing Values JMLR 2010
Matched Gene Selection and Committee Classifier for Molecular Classification of Heterogeneous Diseases JMLR 2010
Learning Gradients: Predictive Models that Infer Geometry and Statistical Dependence JMLR 2010
Spectral Regularization Algorithms for Learning Large Incomplete Matrices JMLR 2010
Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion JMLR 2010
Incremental Sigmoid Belief Networks for Grammar Learning JMLR 2010
Compressed Least-Squares Regression NIPS 2009
White Functionals for Anomaly Detection in Dynamical Systems NIPS 2009
Learning models of object structure NIPS 2009
Slow, Decorrelated Features for Pretraining Complex Cell-like Networks NIPS 2009
Replacing supervised classification learning by Slow Feature Analysis in spiking neural networks NIPS 2009
Free energy score space NIPS 2009
Multi-Label Prediction via Sparse Infinite CCA NIPS 2009
Fast subtree kernels on graphs NIPS 2009
Non-stationary continuous dynamic Bayesian networks NIPS 2009