conftrace_
← Core Methods
Machine Learning › Core Methods ›

Representation Learning

20,822 papers

Papers per year

2
9
101
309
2011
2283
'00
'05
'10
'15
'20
'25

Papers

The Coding Divergence for Measuring the Complexity of Separating Two Sets ACML 2010
Learning the Structure of Deep Sparse Graphical Models AISTATS 2010
Learning with Blocks: Composite Likelihood and Contrastive Divergence AISTATS 2010
Half Transductive Ranking AISTATS 2010
Towards Understanding Situated Natural Language AISTATS 2010
Feature Selection using Multiple Streams AISTATS 2010
Understanding the difficulty of training deep feedforward neural networks AISTATS 2010
Locally Linear Denoising on Image Manifolds AISTATS 2010
Noise-contrastive estimation: A new estimation principle for unnormalized statistical models AISTATS 2010
Collaborative Filtering on a Budget AISTATS 2010
The Feature Selection Path in Kernel Methods AISTATS 2010
Simple Exponential Family PCA AISTATS 2010
Supervised Dimension Reduction Using Bayesian Mixture Modeling AISTATS 2010
Factored 3-Way Restricted Boltzmann Machines For Modeling Natural Images AISTATS 2010
A Regularization Approach to Nonlinear Variable Selection AISTATS 2010
Efficient Learning of Deep Boltzmann Machines AISTATS 2010
Factorized Orthogonal Latent Spaces AISTATS 2010
Convex Structure Learning in Log-Linear Models: Beyond Pairwise Potentials AISTATS 2010
Dense Message Passing for Sparse Principal Component Analysis AISTATS 2010
Reduced-Rank Hidden Markov Models AISTATS 2010
Inference of Sparse Networks with Unobserved Variables. Application to Gene Regulatory Networks AISTATS 2010
Nonparametric Tree Graphical Models AISTATS 2010
Conditional Density Estimation via Least-Squares Density Ratio Estimation AISTATS 2010
On the Convergence Properties of Contrastive Divergence AISTATS 2010
Inference and Learning in Networks of Queues AISTATS 2010