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Representation Learning

18863 directly classified papers

Papers per year

Papers

Dimensionality Reduction for Data in Multiple Feature Representations NIPS 2008
Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity NIPS 2008
Tracking Changing Stimuli in Continuous Attractor Neural Networks NIPS 2008
Dynamic visual attention: searching for coding length increments NIPS 2008
Exploring Large Feature Spaces with Hierarchical Multiple Kernel Learning NIPS 2008
Clusters and Coarse Partitions in LP Relaxations NIPS 2008
An ideal observer model of infant object perception NIPS 2008
A rational model of preference learning and choice prediction by children NIPS 2008
Stress, noradrenaline, and realistic prediction of mouse behaviour using reinforcement learning NIPS 2008
Model Selection in Gaussian Graphical Models: High-Dimensional Consistency of \boldmath$\ell_1$-regularized MLE NIPS 2008
Bayesian Exponential Family PCA NIPS 2008
Cyclizing Clusters via Zeta Function of a Graph NIPS 2008
A Scalable Hierarchical Distributed Language Model NIPS 2008
Regularized Learning with Networks of Features NIPS 2008
Weighted Sums of Random Kitchen Sinks: Replacing minimization with randomization in learning NIPS 2008
Learning Bounded Treewidth Bayesian Networks NIPS 2008
Manifold Learning: The Price of Normalization JMLR 2008
The Recurrent Temporal Restricted Boltzmann Machine NIPS 2008
Nonparametric Bayesian Learning of Switching Linear Dynamical Systems NIPS 2008
Kernelized Sorting NIPS 2008
Skill Characterization Based on Betweenness NIPS 2008
Robust Kernel Principal Component Analysis NIPS 2008
Learning with Consistency between Inductive Functions and Kernels NIPS 2008
Characterizing neural dependencies with copula models NIPS 2008
Shape-Based Object Localization for Descriptive Classification NIPS 2008