representation learning

Deep Coding Network NeurIPS 2010 Evolving Static Representations for Task Transfer JMLR 2010 Feature Set Embedding for Incomplete Data NeurIPS 2010 Half Transductive Ranking AISTATS 2010 Layer-wise analysis of deep networks with Gaussian kernels NeurIPS 2010 Predictive Subspace Learning for Multi-view Data: a Large Margin Approach NeurIPS 2010 Sphere Embedding: An Application to Part-of-Speech Induction NeurIPS 2010 Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion JMLR 2010 Learning transport operators for image manifolds NeurIPS 2009 Measuring Invariances in Deep Networks NeurIPS 2009 On Invariance in Hierarchical Models NeurIPS 2009 Analyzing human feature learning as nonparametric Bayesian inference NeurIPS 2008 Learning Taxonomies by Dependence Maximization NeurIPS 2008 Proto-value Functions: A Laplacian Framework for Learning Representation and Control in Markov Decision Processes JMLR 2007 Retrieved context and the discovery of semantic structure NeurIPS 2007 Sparse Feature Learning for Deep Belief Networks NeurIPS 2007 Information Bottleneck for Non Co-Occurrence Data NeurIPS 2006 Information Bottleneck Optimization and Independent Component Extraction with Spiking Neurons NeurIPS 2006 Large-Scale Sparsified Manifold Regularization NeurIPS 2006 Learning Image Components for Object Recognition JMLR 2006 Learning Parts-Based Representations of Data JMLR 2006 Learning to Traverse Image Manifolds NeurIPS 2006 Multi-Task Feature Learning NeurIPS 2006 Recursive Attribute Factoring NeurIPS 2006 Similarity by Composition NeurIPS 2006