feature learning

Moreau-Yosida Regularization for Grouped Tree Structure Learning NeurIPS 2010 On Herding and the Perceptron Cycling Theorem NeurIPS 2010 Phone Recognition with the Mean-Covariance Restricted Boltzmann Machine NeurIPS 2010 Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion JMLR 2010 Tiled convolutional neural networks NeurIPS 2010 Why Does Unsupervised Pre-training Help Deep Learning? AISTATS 2010 Nonlinear Learning using Local Coordinate Coding NeurIPS 2009 Probabilistic Relational PCA NeurIPS 2009 Slow, Decorrelated Features for Pretraining Complex Cell-like Networks NeurIPS 2009 Unsupervised feature learning for audio classification using convolutional deep belief networks NeurIPS 2009 Analyzing human feature learning as nonparametric Bayesian inference NeurIPS 2008 Diffeomorphic Dimensionality Reduction NeurIPS 2008 Differentiable Sparse Coding NeurIPS 2008 Generalization from Observed to Unobserved Features by Clustering JMLR 2008 Max-margin Classification of Data with Absent Features JMLR 2008 Robust Near-Isometric Matching via Structured Learning of Graphical Models NeurIPS 2008 Supervised Dictionary Learning NeurIPS 2008 Theory of matching pursuit NeurIPS 2008 A Spectral Regularization Framework for Multi-Task Structure Learning NeurIPS 2007 Learning Horizontal Connections in a Sparse Coding Model of Natural Images NeurIPS 2007 Learning Monotonic Transformations for Classification NeurIPS 2007 Learning the 2-D Topology of Images NeurIPS 2007 Learning the structure of manifolds using random projections NeurIPS 2007 Second Order Bilinear Discriminant Analysis for single trial EEG analysis NeurIPS 2007 Sparse deep belief net model for visual area V2 NeurIPS 2007