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Representation Learning

20,822 papers

Papers per year

2
9
101
309
2011
2283
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Papers

Learning low-rank output kernels ACML 2011
Computationally Efficient Sufficient Dimension Reduction via Squared-Loss Mutual Information ACML 2011
Discussion of “The Neural Autoregressive Distribution Estimator” AISTATS 2011
Learning Scale Free Networks by Reweighted $\ell_1$ regularization AISTATS 2011
Discussion of “Learning Scale Free Networks by Reweighted $\ell_1$ regularization” AISTATS 2011
Deep Learners Benefit More from Out-of-Distribution Examples AISTATS 2011
An Analysis of Single-Layer Networks in Unsupervised Feature Learning AISTATS 2011
A Spike and Slab Restricted Boltzmann Machine AISTATS 2011
A novel greedy algorithm for Nyström approximation AISTATS 2011
A Dynamic Relational Infinite Feature Model for Longitudinal Social Networks AISTATS 2011
Deep Sparse Rectifier Neural Networks AISTATS 2011
On Learning Discrete Graphical Models using Group-Sparse Regularization AISTATS 2011
Robust Bayesian Matrix Factorisation AISTATS 2011
Confidence Weighted Mean Reversion Strategy for On-Line Portfolio Selection AISTATS 2011
Learning Class-relevant Features and Class-irrelevant Features via a Hybrid third-order RBM AISTATS 2011
Online Learning of Structured Predictors with Multiple Kernels AISTATS 2011
Dimensionality Reduction for Spectral Clustering AISTATS 2011
Machine Learning Markets AISTATS 2011
Error Analysis of Laplacian Eigenmaps for Semi-supervised Learning AISTATS 2011
Two-Layer Multiple Kernel Learning AISTATS 2011
The Sample Complexity of Dictionary Learning COLT 2011
Cumulative Distribution Networks and the Derivative-sum-product Algorithm: Models and Inference for Cumulative Distribution Functions on Graphs JMLR 2011
Posterior Sparsity in Unsupervised Dependency Parsing JMLR 2011
Minimum Description Length Penalization for Group and Multi-Task Sparse Learning JMLR 2011
Efficient Structure Learning of Bayesian Networks using Constraints JMLR 2011