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Representation Learning

18863 directly classified papers

Papers per year

Papers

Short-term memory in neuronal networks through dynamical compressed sensing NIPS 2010
Guaranteed Rank Minimization via Singular Value Projection NIPS 2010
Deep Coding Network NIPS 2010
Tiled convolutional neural networks NIPS 2010
Linear readout from a neural population with partial correlation data NIPS 2010
The Coding Divergence for Measuring the Complexity of Separating Two Sets ACML 2010
Bayesian Gaussian Process Latent Variable Model AISTATS 2010
Feature Selection using Multiple Streams AISTATS 2010
Incremental Sigmoid Belief Networks for Grammar Learning JMLR 2010
Dependent Indian Buffet Processes AISTATS 2010
Conditional Density Estimation via Least-Squares Density Ratio Estimation AISTATS 2010
Nonparametric Tree Graphical Models AISTATS 2010
Inference of Sparse Networks with Unobserved Variables. Application to Gene Regulatory Networks AISTATS 2010
Reduced-Rank Hidden Markov Models AISTATS 2010
Dense Message Passing for Sparse Principal Component Analysis AISTATS 2010
Convex Structure Learning in Log-Linear Models: Beyond Pairwise Potentials AISTATS 2010
A Regularization Approach to Nonlinear Variable Selection AISTATS 2010
Supervised Dimension Reduction Using Bayesian Mixture Modeling AISTATS 2010
The Feature Selection Path in Kernel Methods AISTATS 2010
Noise-contrastive estimation: A new estimation principle for unnormalized statistical models AISTATS 2010
Learning the Structure of Deep Sparse Graphical Models AISTATS 2010
Beyond Actions: Discriminative Models for Contextual Group Activities NIPS 2010
Matched Gene Selection and Committee Classifier for Molecular Classification of Heterogeneous Diseases JMLR 2010
Towards Understanding Situated Natural Language AISTATS 2010
Learning Gradients: Predictive Models that Infer Geometry and Statistical Dependence JMLR 2010