Deep Learning

Perfect Dimensionality Recovery by Variational Bayesian PCA NeurIPS 2012 Phoneme Classification using Constrained Variational Gaussian Process Dynamical System NeurIPS 2012 Predicting Action Content On-Line and in Real Time before Action Onset – an Intracranial Human Study NeurIPS 2012 Priors for Diversity in Generative Latent Variable Models NeurIPS 2012 Projection Retrieval for Classification NeurIPS 2012 Proper losses for learning from partial labels NeurIPS 2012 Proximal Newton-type methods for convex optimization NeurIPS 2012 Random function priors for exchangeable arrays with applications to graphs and relational data NeurIPS 2012 Scaled Gradients on Grassmann Manifolds for Matrix Completion NeurIPS 2012 Scaling up Kernel SVM on Limited Resources: A Low-rank Linearization Approach AISTATS 2012 Semantic Kernel Forests from Multiple Taxonomies NeurIPS 2012 Semi-Supervised Domain Adaptation with Non-Parametric Copulas NeurIPS 2012 Shifting Weights: Adapting Object Detectors from Image to Video NeurIPS 2012 Sketch-Based Linear Value Function Approximation NeurIPS 2012 Small-Variance Asymptotics for Exponential Family Dirichlet Process Mixture Models NeurIPS 2012 Sparse Prediction with the k-Support Norm NeurIPS 2012 Spectral Learning of General Weighted Automata via Constrained Matrix Completion NeurIPS 2012 Spiking and saturating dendrites differentially expand single neuron computation capacity NeurIPS 2012 Stochastic Gradient Descent with Only One Projection NeurIPS 2012 Synchronization can Control Regularization in Neural Systems via Correlated Noise Processes NeurIPS 2012 Tendon-Driven Variable Impedance Control Using Reinforcement Learning RSS 2012 The representer theorem for Hilbert spaces: a necessary and sufficient condition NeurIPS 2012 The topographic unsupervised learning of natural sounds in the auditory cortex NeurIPS 2012 The variational hierarchical EM algorithm for clustering hidden Markov models NeurIPS 2012 Topic-Partitioned Multinetwork Embeddings NeurIPS 2012