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Representation Learning

20,822 papers

Papers per year

2
9
101
309
2011
2283
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Papers

In-Network PCA and Anomaly Detection NIPS 2006
Modeling Dyadic Data with Binary Latent Factors NIPS 2006
Efficient sparse coding algorithms NIPS 2006
Temporal Coding using the Response Properties of Spiking Neurons NIPS 2006
Bayesian Model Scoring in Markov Random Fields NIPS 2006
Temporal and Cross-Subject Probabilistic Models for fMRI Prediction Tasks NIPS 2006
Particle Filtering for Nonparametric Bayesian Matrix Factorization NIPS 2006
Large-Scale Sparsified Manifold Regularization NIPS 2006
Recursive Attribute Factoring NIPS 2006
Information Bottleneck for Non Co-Occurrence Data NIPS 2006
Stratification Learning: Detecting Mixed Density and Dimensionality in High Dimensional Point Clouds NIPS 2006
Convergence of Laplacian Eigenmaps NIPS 2006
Learning annotated hierarchies from relational data NIPS 2006
Sparse Kernel Orthonormalized PLS for feature extraction in large data sets NIPS 2006
Nonnegative Sparse PCA NIPS 2006
High-Dimensional Graphical Model Selection Using $\ell_1$-Regularized Logistic Regression NIPS 2006
Efficient Learning of Sparse Representations with an Energy-Based Model NIPS 2006
A Kernel Subspace Method by Stochastic Realization for Learning Nonlinear Dynamical Systems NIPS 2006
Recursive ICA NIPS 2006
Learning to parse images of articulated bodies NIPS 2006
Randomized PCA Algorithms with Regret Bounds that are Logarithmic in the Dimension NIPS 2006
Efficient Structure Learning of Markov Networks using $L_1$-Regularization NIPS 2006
implicit Online Learning with Kernels NIPS 2006
Analysis of Representations for Domain Adaptation NIPS 2006
Gaussian and Wishart Hyperkernels NIPS 2006