feature learning

Co-Training for Domain Adaptation NeurIPS 2011 Dimensionality Reduction for Spectral Clustering AISTATS 2011 Dimensionality Reduction Using the Sparse Linear Model NeurIPS 2011 Domain Adaptation with Coupled Subspaces AISTATS 2011 ICA with Reconstruction Cost for Efficient Overcomplete Feature Learning NeurIPS 2011 Large-Scale Category Structure Aware Image Categorization NeurIPS 2011 Learning Class-relevant Features and Class-irrelevant Features via a Hybrid third-order RBM AISTATS 2011 Learning High-Dimensional Markov Forest Distributions: Analysis of Error Rates JMLR 2011 Learning Sparse Representations of High Dimensional Data on Large Scale Dictionaries NeurIPS 2011 On the Analysis of Multi-Channel Neural Spike Data NeurIPS 2011 PiCoDes: Learning a Compact Code for Novel-Category Recognition NeurIPS 2011 Selecting Receptive Fields in Deep Networks NeurIPS 2011 Sparse Filtering NeurIPS 2011 The Kernel Beta Process NeurIPS 2011 Two-Layer Multiple Kernel Learning AISTATS 2011 Unsupervised learning models of primary cortical receptive fields and receptive field plasticity NeurIPS 2011 A Dirty Model for Multi-task Learning NeurIPS 2010 Deep Coding Network NeurIPS 2010 Energy Disaggregation via Discriminative Sparse Coding NeurIPS 2010 Factored 3-Way Restricted Boltzmann Machines For Modeling Natural Images AISTATS 2010 Joint Cascade Optimization Using A Product Of Boosted Classifiers NeurIPS 2010 Learning Convolutional Feature Hierarchies for Visual Recognition NeurIPS 2010 Learning Efficient Markov Networks NeurIPS 2010 Learning invariant features using the Transformed Indian Buffet Process NeurIPS 2010 Learning Multiple Tasks using Manifold Regularization NeurIPS 2010