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Representation Learning

20,822 papers

Papers per year

2
9
101
309
2011
2283
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Papers

Information Bottleneck Optimization and Independent Component Extraction with Spiking Neurons NIPS 2006
Generalized Maximum Margin Clustering and Unsupervised Kernel Learning NIPS 2006
Inferring Network Structure from Co-Occurrences NIPS 2006
Fast Iterative Kernel PCA NIPS 2006
Sparse Representation for Signal Classification NIPS 2006
Learning on Graph with Laplacian Regularization NIPS 2006
Large Margin Component Analysis NIPS 2006
Kernels on Structured Objects Through Nested Histograms NIPS 2006
Learning Dense 3D Correspondence NIPS 2006
Modeling General and Specific Aspects of Documents with a Probabilistic Topic Model NIPS 2006
Emergence of conjunctive visual features by quadratic independent component analysis NIPS 2006
Conditional mean field NIPS 2006
Unsupervised Regression with Applications to Nonlinear System Identification NIPS 2006
MLLE: Modified Locally Linear Embedding Using Multiple Weights NIPS 2006
Denoising and Dimension Reduction in Feature Space NIPS 2006
Relational Learning with Gaussian Processes NIPS 2006
MinReg: A Scalable Algorithm for Learning Parsimonious Regulatory Networks in Yeast and Mammals JMLR 2006
In Search of Non-Gaussian Components of a High-Dimensional Distribution JMLR 2006
Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting JMLR 2006
Learning Coordinate Covariances via Gradients JMLR 2006
Learning Image Components for Object Recognition JMLR 2006
Lower Bounds and Aggregation in Density Estimation JMLR 2006
Quantile Regression Forests JMLR 2006
A Graphical Representation of Equivalence Classes of AMP Chain Graphs JMLR 2006
Learning Sparse Representations by Non-Negative Matrix Factorization and Sequential Cone Programming JMLR 2006