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Representation Learning

18863 directly classified papers

Papers per year

Papers

A joint maximum-entropy model for binary neural population patterns and continuous signals NIPS 2009
Non-stationary continuous dynamic Bayesian networks NIPS 2009
Hierarchical Modeling of Local Image Features through $L_p$-Nested Symmetric Distributions NIPS 2009
Learning from Neighboring Strokes: Combining Appearance and Context for Multi-Domain Sketch Recognition NIPS 2009
Non-Parametric Bayesian Dictionary Learning for Sparse Image Representations NIPS 2009
Occlusive Components Analysis NIPS 2009
Learning Non-Linear Combinations of Kernels NIPS 2009
Robust Value Function Approximation Using Bilinear Programming NIPS 2009
On the Algorithmics and Applications of a Mixed-norm based Kernel Learning Formulation NIPS 2009
Measuring Invariances in Deep Networks NIPS 2009
Training Factor Graphs with Reinforcement Learning for Efficient MAP Inference NIPS 2009
An Additive Latent Feature Model for Transparent Object Recognition NIPS 2009
Semi-supervised Regression using Hessian energy with an application to semi-supervised dimensionality reduction NIPS 2009
Group Sparse Coding NIPS 2009
Structure Spaces JMLR 2009
Reading Tea Leaves: How Humans Interpret Topic Models NIPS 2009
Orthogonal Matching Pursuit From Noisy Random Measurements: A New Analysis NIPS 2009
Multi-Label Prediction via Sparse Infinite CCA NIPS 2009
Modeling Social Annotation Data with Content Relevance using a Topic Model NIPS 2009
Learning Brain Connectivity of Alzheimer's Disease from Neuroimaging Data NIPS 2009
The 'tree-dependent components' of natural scenes are edge filters NIPS 2009
Sparse Metric Learning via Smooth Optimization NIPS 2009
Sparse and Locally Constant Gaussian Graphical Models NIPS 2009
Linearly constrained Bayesian matrix factorization for blind source separation NIPS 2009
Replicated Softmax: an Undirected Topic Model NIPS 2009