Deep Learning

Learning Sparse Representations of High Dimensional Data on Large Scale Dictionaries NeurIPS 2011 Learning to Learn with Compound HD Models NeurIPS 2011 Maximum Margin Multi-Instance Learning NeurIPS 2011 Maximum Margin Multi-Label Structured Prediction NeurIPS 2011 Metric Learning with Multiple Kernels NeurIPS 2011 Mixed-Variate Restricted Boltzmann Machines ACML 2011 Multiclass Boosting: Theory and Algorithms NeurIPS 2011 Multi-Label Output Codes using Canonical Correlation Analysis AISTATS 2011 Multiple Instance Learning on Structured Data NeurIPS 2011 Natural Language Processing (Almost) from Scratch JMLR 2011 Neuronal Adaptation for Sampling-Based Probabilistic Inference in Perceptual Bistability NeurIPS 2011 Non-conjugate Variational Message Passing for Multinomial and Binary Regression NeurIPS 2011 Object Detection with Grammar Models NeurIPS 2011 Online Variational Inference for the Hierarchical Dirichlet Process AISTATS 2011 On Tracking The Partition Function NeurIPS 2011 Phase transition in the family of p-resistances NeurIPS 2011 PiCoDes: Learning a Compact Code for Novel-Category Recognition NeurIPS 2011 Portmanteau Vocabularies for Multi-Cue Image Representation NeurIPS 2011 Practical Variational Inference for Neural Networks NeurIPS 2011 Probabilistic Joint Image Segmentation and Labeling NeurIPS 2011 Pylon Model for Semantic Segmentation NeurIPS 2011 Ranking annotators for crowdsourced labeling tasks NeurIPS 2011 Regularized Laplacian Estimation and Fast Eigenvector Approximation NeurIPS 2011 Robust Bayesian Matrix Factorisation AISTATS 2011 Robust Generation of Dynamical Patterns in Human Motion by a Deep Belief Nets ACML 2011