Artificial Intelligence

Multi-Prediction Deep Boltzmann Machines NeurIPS 2013 Multiscale Dictionary Learning for Estimating Conditional Distributions NeurIPS 2013 Multisensory Encoding, Decoding, and Identification NeurIPS 2013 Multi-target Tracking by Rank-1 Tensor Approximation CVPR 2013 Multi-Task Bayesian Optimization NeurIPS 2013 Multi-Task Learning with Gaussian Matrix Generalized Inverse Gaussian Model ICML 2013 Near-optimal Anomaly Detection in Graphs using Lovasz Extended Scan Statistic NeurIPS 2013 Nested Chinese Restaurant Franchise Process: Applications to User Tracking and Document Modeling ICML 2013 Neural representation of action sequences: how far can a simple snippet-matching model take us? NeurIPS 2013 Noise-Enhanced Associative Memories NeurIPS 2013 Nonlinearly Constrained MRFs: Exploring the Intrinsic Dimensions of Higher-Order Cliques CVPR 2013 Nonparametric Mixture of Gaussian Processes with Constraints ICML 2013 Nonparametric Multi-group Membership Model for Dynamic Networks NeurIPS 2013 Non-Uniform Camera Shake Removal Using a Spatially-Adaptive Sparse Penalty NeurIPS 2013 Object-Centric Anomaly Detection by Attribute-Based Reasoning CVPR 2013 One-shot learning and big data with n=2 NeurIPS 2013 One-shot learning by inverting a compositional causal process NeurIPS 2013 On learning parametric-output HMMs ICML 2013 Online Latent Dirichlet Allocation with Infinite Vocabulary ICML 2013 Online Learning in Markov Decision Processes with Adversarially Chosen Transition Probability Distributions NeurIPS 2013 Online Learning of Dynamic Parameters in Social Networks NeurIPS 2013 Online Learning of Nonparametric Mixture Models via Sequential Variational Approximation NeurIPS 2013 Online Learning with Costly Features and Labels NeurIPS 2013 Online Variational Approximations to non-Exponential Family Change Point Models: With Application to Radar Tracking NeurIPS 2013 On Poisson Graphical Models NeurIPS 2013