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Representation Learning

18863 directly classified papers

Papers per year

Papers

Similarity-based Learning via Data Driven Embeddings NIPS 2011
Maximum Margin Multi-Label Structured Prediction NIPS 2011
Multi-View Learning of Word Embeddings via CCA NIPS 2011
Signal Estimation Under Random Time-Warpings and Nonlinear Signal Alignment NIPS 2011
Sequence learning with hidden units in spiking neural networks NIPS 2011
Learning in Hilbert vs. Banach Spaces: A Measure Embedding Viewpoint NIPS 2011
Nonnegative dictionary learning in the exponential noise model for adaptive music signal representation NIPS 2011
Generalised Coupled Tensor Factorisation NIPS 2011
Portmanteau Vocabularies for Multi-Cue Image Representation NIPS 2011
Select and Sample - A Model of Efficient Neural Inference and Learning NIPS 2011
Variational Gaussian Process Dynamical Systems NIPS 2011
Sparse Features for PCA-Like Linear Regression NIPS 2011
Semi-supervised Regression via Parallel Field Regularization NIPS 2011
Thinning Measurement Models and Questionnaire Design NIPS 2011
Active dendrites: adaptation to spike-based communication NIPS 2011
EigenNet: A Bayesian hybrid of generative and conditional models for sparse learning NIPS 2011
Relative Density-Ratio Estimation for Robust Distribution Comparison NIPS 2011
A reinterpretation of the policy oscillation phenomenon in approximate policy iteration NIPS 2011
Maximum Covariance Unfolding : Manifold Learning for Bimodal Data NIPS 2011
Learning a Distance Metric from a Network NIPS 2011
Unsupervised learning models of primary cortical receptive fields and receptive field plasticity NIPS 2011
Learning a Tree of Metrics with Disjoint Visual Features NIPS 2011
Non-parametric Group Orthogonal Matching Pursuit for Sparse Learning with Multiple Kernels NIPS 2011
Learning with the weighted trace-norm under arbitrary sampling distributions NIPS 2011
Demixed Principal Component Analysis NIPS 2011