conftrace_
← Core Methods
Machine Learning › Core Methods ›

Representation Learning

20,812 papers

Papers per year

2
9
101
309
2011
2283
'00
'05
'10
'15
'20
'25

Papers

Heterogeneous Component Analysis NIPS 2007
An Analysis of Inference with the Universum NIPS 2007
Exponential Family Predictive Representations of State NIPS 2007
Retrieved context and the discovery of semantic structure NIPS 2007
Iterative Non-linear Dimensionality Reduction with Manifold Sculpting NIPS 2007
Learning with Transformation Invariant Kernels NIPS 2007
Learning to classify complex patterns using a VLSI network of spiking neurons NIPS 2007
Sparse Feature Learning for Deep Belief Networks NIPS 2007
Gaussian Process Models for Link Analysis and Transfer Learning NIPS 2007
Near-Maximum Entropy Models for Binary Neural Representations of Natural Images NIPS 2007
Supervised Topic Models NIPS 2007
A Kernel Statistical Test of Independence NIPS 2007
Discriminative Keyword Selection Using Support Vector Machines NIPS 2007
Efficient Inference for Distributions on Permutations NIPS 2007
Blind channel identification for speech dereverberation using l1-norm sparse learning NIPS 2007
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