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Representation Learning

20,822 papers

Papers per year

2
9
101
309
2011
2283
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Papers

Nonparanormal Belief Propagation (NPNBP) NIPS 2012
Non-linear Metric Learning NIPS 2012
Parametric Local Metric Learning for Nearest Neighbor Classification NIPS 2012
Simultaneously Leveraging Output and Task Structures for Multiple-Output Regression NIPS 2012
Hamming Distance Metric Learning NIPS 2012
Structured Learning of Gaussian Graphical Models NIPS 2012
Nyström Method vs Random Fourier Features: A Theoretical and Empirical Comparison NIPS 2012
Symmetric Correspondence Topic Models for Multilingual Text Analysis NIPS 2012
Factorial LDA: Sparse Multi-Dimensional Text Models NIPS 2012
Structure estimation for discrete graphical models: Generalized covariance matrices and their inverses NIPS 2012
Joint Modeling of a Matrix with Associated Text via Latent Binary Features NIPS 2012
Spectral Learning of General Weighted Automata via Constrained Matrix Completion NIPS 2012
Learning with Recursive Perceptual Representations NIPS 2012
A Better Way to Pretrain Deep Boltzmann Machines NIPS 2012
Semi-supervised Eigenvectors for Locally-biased Learning NIPS 2012
Gradient-based kernel method for feature extraction and variable selection NIPS 2012
Delay Compensation with Dynamical Synapses NIPS 2012
Learning as MAP Inference in Discrete Graphical Models NIPS 2012
Deep Spatio-Temporal Architectures and Learning for Protein Structure Prediction NIPS 2012
Isotropic Hashing NIPS 2012
Forward-Backward Activation Algorithm for Hierarchical Hidden Markov Models NIPS 2012
Automatic Feature Induction for Stagewise Collaborative Filtering NIPS 2012
A mechanistic model of early sensory processing based on subtracting sparse representations NIPS 2012
Cardinality Restricted Boltzmann Machines NIPS 2012
Training sparse natural image models with a fast Gibbs sampler of an extended state space NIPS 2012