Deep Learning

Training sparse natural image models with a fast Gibbs sampler of an extended state space NeurIPS 2012 Transelliptical Graphical Models NeurIPS 2012 Truly Nonparametric Online Variational Inference for Hierarchical Dirichlet Processes NeurIPS 2012 Truncation-free Online Variational Inference for Bayesian Nonparametric Models NeurIPS 2012 Unsupervised SVMs: On the Complexity of the Furthest Hyperplane Problem COLT 2012 Unsupervised Template Learning for Fine-Grained Object Recognition NeurIPS 2012 Variational Inference for Crowdsourcing NeurIPS 2012 Volume Regularization for Binary Classification NeurIPS 2012 Waveform Driven Plasticity in BiFeO3 Memristive Devices: Model and Implementation NeurIPS 2012 Why MCA? Nonlinear sparse coding with spike-and-slab prior for neurally plausible image encoding NeurIPS 2012 A blind sparse deconvolution method for neural spike identification NeurIPS 2011 A Brain-Machine Interface Operating with a Real-Time Spiking Neural Network Control Algorithm NeurIPS 2011 Active dendrites: adaptation to spike-based communication NeurIPS 2011 Algorithms for Hyper-Parameter Optimization NeurIPS 2011 An Analysis of Single-Layer Networks in Unsupervised Feature Learning AISTATS 2011 Approximate Marginals in Latent Gaussian Models JMLR 2011 A Spike and Slab Restricted Boltzmann Machine AISTATS 2011 A Two-Stage Weighting Framework for Multi-Source Domain Adaptation NeurIPS 2011 Convergence Rates of Inexact Proximal-Gradient Methods for Convex Optimization NeurIPS 2011 Convergent Fitted Value Iteration with Linear Function Approximation NeurIPS 2011 Co-regularized Multi-view Spectral Clustering NeurIPS 2011 Deep Learners Benefit More from Out-of-Distribution Examples AISTATS 2011 Deep Learning for Efficient Discriminative Parsing AISTATS 2011 Deep Sparse Rectifier Neural Networks AISTATS 2011 Directed Graph Embedding: an Algorithm based on Continuous Limits of Laplacian-type Operators NeurIPS 2011