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Representation Learning

18863 directly classified papers

Papers per year

Papers

Learning the structure of manifolds using random projections NIPS 2007
HM-BiTAM: Bilingual Topic Exploration, Word Alignment, and Translation NIPS 2007
Cooled and Relaxed Survey Propagation for MRFs NIPS 2007
Simplified Rules and Theoretical Analysis for Information Bottleneck Optimization and PCA with Spiking Neurons NIPS 2007
An in-silico Neural Model of Dynamic Routing through Neuronal Coherence NIPS 2007
GRIFT: A graphical model for inferring visual classification features from human data NIPS 2007
Sparse Overcomplete Latent Variable Decomposition of Counts Data NIPS 2007
Learning the 2-D Topology of Images NIPS 2007
Modeling homophily and stochastic equivalence in symmetric relational data NIPS 2007
Local Algorithms for Approximate Inference in Minor-Excluded Graphs NIPS 2007
The Infinite Gamma-Poisson Feature Model NIPS 2007
People Tracking with the Laplacian Eigenmaps Latent Variable Model NIPS 2007
Colored Maximum Variance Unfolding NIPS 2007
New Outer Bounds on the Marginal Polytope NIPS 2007
Random Projections for Manifold Learning NIPS 2007
Modeling Natural Sounds with Modulation Cascade Processes NIPS 2007
An online Hebbian learning rule that performs Independent Component Analysis NIPS 2007
A learning framework for nearest neighbor search NIPS 2007
Efficient Principled Learning of Thin Junction Trees NIPS 2007
Loop Series and Bethe Variational Bounds in Attractive Graphical Models NIPS 2007
Random Features for Large-Scale Kernel Machines NIPS 2007
Learning Horizontal Connections in a Sparse Coding Model of Natural Images NIPS 2007
Spatial Latent Dirichlet Allocation NIPS 2007
Object Recognition by Scene Alignment NIPS 2007
Agreement-Based Learning NIPS 2007