conftrace_
← Core Methods
Machine Learning › Core Methods ›

Feature Learning

860 papers

Papers per year

2
18
24
65
81
'05
'10
'15
'20
'25

Papers

Locally Uniform Comparison Image Descriptor NIPS 2012
Priors for Diversity in Generative Latent Variable Models NIPS 2012
Semantic Kernel Forests from Multiple Taxonomies NIPS 2012
Synchronization can Control Regularization in Neural Systems via Correlated Noise Processes NIPS 2012
Learning Temporal Association Rules on Symbolic Time Sequences ACML 2012
Key Instance Detection in Multi-Instance Learning ACML 2012
Spatial Locality-Aware Sparse Coding and Dictionary Learning ACML 2012
Locality Preserving Feature Learning AISTATS 2012
Random Feature Maps for Dot Product Kernels AISTATS 2012
Nonparametric Estimation of Conditional Information and Divergences AISTATS 2012
Learning Fourier Sparse Set Functions AISTATS 2012
Multi-label Subspace Ensemble AISTATS 2012
Exact Recovery of Sparsely-Used Dictionaries COLT 2012
The Kernel Beta Process NIPS 2011
On the Analysis of Multi-Channel Neural Spike Data NIPS 2011
PiCoDes: Learning a Compact Code for Novel-Category Recognition NIPS 2011
Sparse Filtering NIPS 2011
ICA with Reconstruction Cost for Efficient Overcomplete Feature Learning NIPS 2011
Learning Anchor Planes for Classification NIPS 2011
Efficient Learning of Generalized Linear and Single Index Models with Isotonic Regression NIPS 2011
Dimensionality Reduction Using the Sparse Linear Model NIPS 2011
Learning Sparse Representations of High Dimensional Data on Large Scale Dictionaries NIPS 2011
ShareBoost: Efficient multiclass learning with feature sharing NIPS 2011
Portmanteau Vocabularies for Multi-Cue Image Representation NIPS 2011
Clustered Multi-Task Learning Via Alternating Structure Optimization NIPS 2011