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Representation Learning

18863 directly classified papers

Papers per year

Papers

Constructing Topological Maps using Markov Random Fields and Loop-Closure Detection NIPS 2009
Nonlinear Learning using Local Coordinate Coding NIPS 2009
On Invariance in Hierarchical Models NIPS 2009
Heavy-Tailed Symmetric Stochastic Neighbor Embedding NIPS 2009
An Infinite Factor Model Hierarchy Via a Noisy-Or Mechanism NIPS 2009
Factor Modeling for Advertisement Targeting NIPS 2009
Replacing supervised classification learning by Slow Feature Analysis in spiking neural networks NIPS 2009
Fast subtree kernels on graphs NIPS 2009
Submanifold density estimation NIPS 2009
Modelling Relational Data using Bayesian Clustered Tensor Factorization NIPS 2009
Kernel Methods for Deep Learning NIPS 2009
Learning with Compressible Priors NIPS 2009
Inter-domain Gaussian Processes for Sparse Inference using Inducing Features NIPS 2009
Slow, Decorrelated Features for Pretraining Complex Cell-like Networks NIPS 2009
Learning models of object structure NIPS 2009
White Functionals for Anomaly Detection in Dynamical Systems NIPS 2009
Compressed Least-Squares Regression NIPS 2009
Probabilistic Relational PCA NIPS 2009
Riffled Independence for Ranked Data NIPS 2009
Toward Provably Correct Feature Selection in Arbitrary Domains NIPS 2009
Polynomial Semantic Indexing NIPS 2009
Low-Rank Kernel Learning with Bregman Matrix Divergences JMLR 2009
Reproducing Kernel Banach Spaces for Machine Learning JMLR 2009
Polynomial-Delay Enumeration of Monotonic Graph Classes JMLR 2009
Locality-sensitive binary codes from shift-invariant kernels NIPS 2009