Representation Learning

Manifold Identification in Dual Averaging for Regularized Stochastic Online Learning JMLR 2012 Matrix reconstruction with the local max norm NeurIPS 2012 Max-Margin Min-Entropy Models AISTATS 2012 Memorability of Image Regions NeurIPS 2012 Meta-Gaussian Information Bottleneck NeurIPS 2012 Minimax Manifold Estimation JMLR 2012 Minimax Multi-Task Learning and a Generalized Loss-Compositional Paradigm for MTL NeurIPS 2012 Minimax Rates of Estimation for Sparse PCA in High Dimensions AISTATS 2012 Multi-label Subspace Ensemble AISTATS 2012 Multimodal Learning with Deep Boltzmann Machines NeurIPS 2012 Multiple Operator-valued Kernel Learning NeurIPS 2012 Multiresolution Deep Belief Networks AISTATS 2012 Multi-scale Hyper-time Hardware Emulation of Human Motor Nervous System Based on Spiking Neurons using FPGA NeurIPS 2012 Multi-Stage Multi-Task Feature Learning NeurIPS 2012 Multi-task Vector Field Learning NeurIPS 2012 Natural Images, Gaussian Mixtures and Dead Leaves NeurIPS 2012 NIMFA : A Python Library for Nonnegative Matrix Factorization JMLR 2012 Nonlinear low-dimensional regression using auxiliary coordinates AISTATS 2012 Non-linear Metric Learning NeurIPS 2012 Nonparametric Guidance of Autoencoder Representations using Label Information JMLR 2012 Nonparametric Max-Margin Matrix Factorization for Collaborative Prediction NeurIPS 2012 Nonparametric Reduced Rank Regression NeurIPS 2012 Nonparanormal Belief Propagation (NPNBP) NeurIPS 2012 Nyström Method vs Random Fourier Features: A Theoretical and Empirical Comparison NeurIPS 2012 Oger: Modular Learning Architectures For Large-Scale Sequential Processing JMLR 2012