feature learning

Top-Down Regularization of Deep Belief Networks NeurIPS 2013 Training Deformable Part Models with Decorrelated Features ICCV 2013 Transfer Sparse Coding for Robust Image Representation CVPR 2013 Automatic Feature Induction for Stagewise Collaborative Filtering NeurIPS 2012 Convolutional-Recursive Deep Learning for 3D Object Classification NeurIPS 2012 Deep Learning of Invariant Features via Simulated Fixations in Video NeurIPS 2012 Deep Representations and Codes for Image Auto-Annotation NeurIPS 2012 Emergence of Object-Selective Features in Unsupervised Feature Learning NeurIPS 2012 Exact Recovery of Sparsely-Used Dictionaries COLT 2012 Gradient Weights help Nonparametric Regressors NeurIPS 2012 ImageNet Classification with Deep Convolutional Neural Networks NeurIPS 2012 Learning Image Descriptors with the Boosting-Trick NeurIPS 2012 Learning Latent Variable Models by Pairwise Cluster Comparison ACML 2012 Learning Partially Observable Models Using Temporally Abstract Decision Trees NeurIPS 2012 Learning the Dependency Structure of Latent Factors NeurIPS 2012 Learning to Align from Scratch NeurIPS 2012 Learning with Recursive Perceptual Representations NeurIPS 2012 Multiresolution Deep Belief Networks AISTATS 2012 Multi-Stage Multi-Task Feature Learning NeurIPS 2012 Online Incremental Feature Learning with Denoising Autoencoders AISTATS 2012 On Nonparametric Guidance for Learning Autoencoder Representations AISTATS 2012 Perceptron Learning of SAT NeurIPS 2012 Semantic Kernel Forests from Multiple Taxonomies NeurIPS 2012 An Analysis of Single-Layer Networks in Unsupervised Feature Learning AISTATS 2011 Clustered Multi-Task Learning Via Alternating Structure Optimization NeurIPS 2011