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Representation Learning

18863 directly classified papers

Papers per year

Papers

Automatic Feature Induction for Stagewise Collaborative Filtering NIPS 2012
Delay Compensation with Dynamical Synapses NIPS 2012
Semi-supervised Eigenvectors for Locally-biased Learning NIPS 2012
Meta-Gaussian Information Bottleneck NIPS 2012
Emergence of Object-Selective Features in Unsupervised Feature Learning NIPS 2012
Multiple Operator-valued Kernel Learning NIPS 2012
Latent Graphical Model Selection: Efficient Methods for Locally Tree-like Graphs NIPS 2012
Compressive neural representation of sparse, high-dimensional probabilities NIPS 2012
A Spectral Algorithm for Latent Dirichlet Allocation NIPS 2012
Deep Learning of Invariant Features via Simulated Fixations in Video NIPS 2012
Graphical Models via Generalized Linear Models NIPS 2012
Bayesian nonparametric models for bipartite graphs NIPS 2012
Topology Constraints in Graphical Models NIPS 2012
Learning with Recursive Perceptual Representations NIPS 2012
Spectral Learning of General Weighted Automata via Constrained Matrix Completion NIPS 2012
Joint Modeling of a Matrix with Associated Text via Latent Binary Features NIPS 2012
Structure estimation for discrete graphical models: Generalized covariance matrices and their inverses NIPS 2012
Symmetric Correspondence Topic Models for Multilingual Text Analysis NIPS 2012
Nyström Method vs Random Fourier Features: A Theoretical and Empirical Comparison NIPS 2012
Structured Learning of Gaussian Graphical Models NIPS 2012
Simultaneously Leveraging Output and Task Structures for Multiple-Output Regression NIPS 2012
Parametric Local Metric Learning for Nearest Neighbor Classification NIPS 2012
Non-linear Metric Learning NIPS 2012
Nonparanormal Belief Propagation (NPNBP) NIPS 2012
Deep Representations and Codes for Image Auto-Annotation NIPS 2012