Representation Learning
239 papers
Papers per year
2
2
3
1
2
1
3
6
2
2
10
8
16
13
16
24
14
27
87
'10
'15
'20
'25
Papers
Learning word embeddings efficiently with noise-contrastive estimation
NeurIPS 2013
On the Sample Complexity of Subspace Learning
NeurIPS 2013
Translating Embeddings for Modeling Multi-relational Data
NeurIPS 2013
Multi-task Vector Field Learning
NeurIPS 2012
PiCoDes: Learning a Compact Code for Novel-Category Recognition
NeurIPS 2011
Portmanteau Vocabularies for Multi-Cue Image Representation
NeurIPS 2011
Layer-wise analysis of deep networks with Gaussian kernels
NeurIPS 2010
Dimensionality Reduction for Data in Multiple Feature Representations
NeurIPS 2008
Reducing statistical dependencies in natural signals using radial Gaussianization
NeurIPS 2008
Using matrices to model symbolic relationship
NeurIPS 2008
Iterative Non-linear Dimensionality Reduction with Manifold Sculpting
NeurIPS 2007
Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes
NeurIPS 2007
Analysis of Representations for Domain Adaptation
NeurIPS 2006
Recursive ICA
NeurIPS 2006