Feature Learning

Multi-task Vector Field Learning NeurIPS 2012 Non-linear Metric Learning NeurIPS 2012 Nonparametric Estimation of Conditional Information and Divergences AISTATS 2012 Priors for Diversity in Generative Latent Variable Models NeurIPS 2012 Random Feature Maps for Dot Product Kernels AISTATS 2012 Searching for objects driven by context NeurIPS 2012 Selective Labeling via Error Bound Minimization NeurIPS 2012 Semantic Kernel Forests from Multiple Taxonomies NeurIPS 2012 Simultaneously Leveraging Output and Task Structures for Multiple-Output Regression NeurIPS 2012 Spatial Locality-Aware Sparse Coding and Dictionary Learning ACML 2012 Synchronization can Control Regularization in Neural Systems via Correlated Noise Processes NeurIPS 2012 Visual Recognition using Embedded Feature Selection for Curvature Self-Similarity NeurIPS 2012 A Close Look to Margin Complexity and Related Parameters COLT 2011 Clustered Multi-Task Learning Via Alternating Structure Optimization NeurIPS 2011 Demixed Principal Component Analysis NeurIPS 2011 Dimensionality Reduction Using the Sparse Linear Model NeurIPS 2011 Efficient Learning of Generalized Linear and Single Index Models with Isotonic Regression NeurIPS 2011 Hierarchical Matching Pursuit for Image Classification: Architecture and Fast Algorithms NeurIPS 2011 ICA with Reconstruction Cost for Efficient Overcomplete Feature Learning NeurIPS 2011 Learning Anchor Planes for Classification NeurIPS 2011 Learning person-object interactions for action recognition in still images NeurIPS 2011 Learning Sparse Representations of High Dimensional Data on Large Scale Dictionaries NeurIPS 2011 Non-parametric Group Orthogonal Matching Pursuit for Sparse Learning with Multiple Kernels NeurIPS 2011 On the Analysis of Multi-Channel Neural Spike Data NeurIPS 2011 PiCoDes: Learning a Compact Code for Novel-Category Recognition NeurIPS 2011