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Representation Learning

20,822 papers

Papers per year

2
9
101
309
2011
2283
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Papers

Agreement-Based Learning NIPS 2007
Object Recognition by Scene Alignment NIPS 2007
Spatial Latent Dirichlet Allocation NIPS 2007
Learning Horizontal Connections in a Sparse Coding Model of Natural Images NIPS 2007
Statistical Consistency of Kernel Canonical Correlation Analysis JMLR 2007
Learning Equivariant Functions with Matrix Valued Kernels JMLR 2007
Consistent Feature Selection for Pattern Recognition in Polynomial Time JMLR 2007
Estimating High-Dimensional Directed Acyclic Graphs with the PC-Algorithm JMLR 2007
Relational Dependency Networks JMLR 2007
Undercomplete Blind Subspace Deconvolution JMLR 2007
Bilinear Discriminant Component Analysis JMLR 2007
"Ideal Parent” Structure Learning for Continuous Variable Bayesian Networks JMLR 2007
Fast Iterative Kernel Principal Component Analysis JMLR 2007
Refinable Kernels JMLR 2007
Proto-value Functions: A Laplacian Framework for Learning Representation and Control in Markov Decision Processes JMLR 2007
Semantic Modeling of Places using Objects RSS 2007
Dimensionality Reduction Using Automatic Supervision for Vision-Based Terrain Learning RSS 2007
Learning omnidirectional path following using dimensionality reduction RSS 2007
Learning to Traverse Image Manifolds NIPS 2006
Kernel Maximum Entropy Data Transformation and an Enhanced Spectral Clustering Algorithm NIPS 2006
Graph Laplacian Regularization for Large-Scale Semidefinite Programming NIPS 2006
Multi-Task Feature Learning NIPS 2006
Blind source separation for over-determined delayed mixtures NIPS 2006
Modeling Human Motion Using Binary Latent Variables NIPS 2006
Towards a general independent subspace analysis NIPS 2006