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Representation Learning

18863 directly classified papers

Papers per year

Papers

Learning the Architecture of Sum-Product Networks Using Clustering on Variables NIPS 2012
Density-Difference Estimation NIPS 2012
Nonparametric Reduced Rank Regression NIPS 2012
A Geometric take on Metric Learning NIPS 2012
Natural Images, Gaussian Mixtures and Dead Leaves NIPS 2012
Random function priors for exchangeable arrays with applications to graphs and relational data NIPS 2012
Learning the Dependency Structure of Latent Factors NIPS 2012
Transelliptical Component Analysis NIPS 2012
Online L1-Dictionary Learning with Application to Novel Document Detection NIPS 2012
Minimax Multi-Task Learning and a Generalized Loss-Compositional Paradigm for MTL NIPS 2012
Optimal kernel choice for large-scale two-sample tests NIPS 2012
Learning Networks of Heterogeneous Influence NIPS 2012
Semantic Kernel Forests from Multiple Taxonomies NIPS 2012
Fiedler Random Fields: A Large-Scale Spectral Approach to Statistical Network Modeling NIPS 2012
Slice Normalized Dynamic Markov Logic Networks NIPS 2012
A Neural Autoregressive Topic Model NIPS 2012
Learning Manifolds with K-Means and K-Flats NIPS 2012
Transelliptical Graphical Models NIPS 2012
Multimodal Learning with Deep Boltzmann Machines NIPS 2012
Hierarchical spike coding of sound NIPS 2012
Value Pursuit Iteration NIPS 2012
Semiparametric Principal Component Analysis NIPS 2012
Efficient Spike-Coding with Multiplicative Adaptation in a Spike Response Model NIPS 2012
Training sparse natural image models with a fast Gibbs sampler of an extended state space NIPS 2012
A mechanistic model of early sensory processing based on subtracting sparse representations NIPS 2012