Representation Learning

What Makes a Patch Distinct? CVPR 2013 When are Overcomplete Topic Models Identifiable? Uniqueness of Tensor Tucker Decompositions with Structured Sparsity NeurIPS 2013 Σ-Optimality for Active Learning on Gaussian Random Fields NeurIPS 2013 A Better Way to Pretrain Deep Boltzmann Machines NeurIPS 2012 A dynamic excitatory-inhibitory network in a VLSI chip for spiking information reregistrations NeurIPS 2012 A Geometric take on Metric Learning NeurIPS 2012 A Hybrid Neural Network-Latent Topic Model AISTATS 2012 A latent factor model for highly multi-relational data NeurIPS 2012 A mechanistic model of early sensory processing based on subtracting sparse representations NeurIPS 2012 Analog readout for optical reservoir computers NeurIPS 2012 A Neural Autoregressive Topic Model NeurIPS 2012 A Spectral Algorithm for Latent Dirichlet Allocation NeurIPS 2012 A Unifying Probabilistic Perspective for Spectral Dimensionality Reduction: Insights and New Models JMLR 2012 Automatic Feature Induction for Stagewise Collaborative Filtering NeurIPS 2012 Bayesian Group Factor Analysis AISTATS 2012 Bayesian nonparametric models for bipartite graphs NeurIPS 2012 Beta-Negative Binomial Process and Poisson Factor Analysis AISTATS 2012 Cardinality Restricted Boltzmann Machines NeurIPS 2012 Clustering by Nonnegative Matrix Factorization Using Graph Random Walk NeurIPS 2012 Complex Inference in Neural Circuits with Probabilistic Population Codes and Topic Models NeurIPS 2012 Compressive neural representation of sparse, high-dimensional probabilities NeurIPS 2012 Convex Multi-view Subspace Learning NeurIPS 2012 Copula Network Classifiers (CNCs) AISTATS 2012 Data dependent kernels in nearly-linear time AISTATS 2012 Deep Learning of Invariant Features via Simulated Fixations in Video NeurIPS 2012