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Representation Learning

20,822 papers

Papers per year

2
9
101
309
2011
2283
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Papers

Feature Selection via Dependence Maximization JMLR 2012
A Unifying Probabilistic Perspective for Spectral Dimensionality Reduction: Insights and New Models JMLR 2012
Manifold Identification in Dual Averaging for Regularized Stochastic Online Learning JMLR 2012
Regularization Techniques for Learning with Matrices JMLR 2012
Nonparametric Guidance of Autoencoder Representations using Label Information JMLR 2012
Finding Recurrent Patterns from Continuous Sign Language Sentences for Automated Extraction of Signs JMLR 2012
Linear Regression With Random Projections JMLR 2012
Oger: Modular Learning Architectures For Large-Scale Sequential Processing JMLR 2012
Sally: A Tool for Embedding Strings in Vector Spaces JMLR 2012
Sparse and Unique Nonnegative Matrix Factorization Through Data Preprocessing JMLR 2012
Feature-Based Prediction of Trajectories for Socially Compliant Navigation RSS 2012
Learning Higher-Order Graph Structure with Features by Structure Penalty NIPS 2011
The Kernel Beta Process NIPS 2011
Variational Learning for Recurrent Spiking Networks NIPS 2011
Probabilistic Modeling of Dependencies Among Visual Short-Term Memory Representations NIPS 2011
Regularized Laplacian Estimation and Fast Eigenvector Approximation NIPS 2011
Generalized Lasso based Approximation of Sparse Coding for Visual Recognition NIPS 2011
Multilinear Subspace Regression: An Orthogonal Tensor Decomposition Approach NIPS 2011
Large-Scale Sparse Principal Component Analysis with Application to Text Data NIPS 2011
Sparse Filtering NIPS 2011
Policy Gradient Coagent Networks NIPS 2011
Spectral Methods for Learning Multivariate Latent Tree Structure NIPS 2011
Query-Aware MCMC NIPS 2011
ICA with Reconstruction Cost for Efficient Overcomplete Feature Learning NIPS 2011
Learning Anchor Planes for Classification NIPS 2011