Artificial Intelligence

Learning the beta-Divergence in Tweedie Compound Poisson Matrix Factorization Models ICML 2013 Learning the Local Statistics of Optical Flow NeurIPS 2013 Learning the Structure of Sum-Product Networks ICML 2013 Learning the Visual Interpretation of Sentences ICCV 2013 Learning to Pass Expectation Propagation Messages NeurIPS 2013 Learning to Plan for Constrained Manipulation from Demonstrations RSS 2013 Learning to Predict Gaze in Egocentric Video ICCV 2013 Learning to Prune in Metric and Non-Metric Spaces NeurIPS 2013 Learning to Share Latent Tasks for Action Recognition ICCV 2013 Learning with Invariance via Linear Functionals on Reproducing Kernel Hilbert Space NeurIPS 2013 Learning word embeddings efficiently with noise-contrastive estimation NeurIPS 2013 Lexical and Hierarchical Topic Regression NeurIPS 2013 Linear Approximation to ADMM for MAP inference ACML 2013 Linear decision rule as aspiration for simple decision heuristics NeurIPS 2013 Locally Adaptive Bayesian Multivariate Time Series NeurIPS 2013 Looking Beyond the Image: Unsupervised Learning for Object Saliency and Detection CVPR 2013 Lost! Leveraging the Crowd for Probabilistic Visual Self-Localization CVPR 2013 Low-rank matrix reconstruction and clustering via approximate message passing NeurIPS 2013 Machine Teaching for Bayesian Learners in the Exponential Family NeurIPS 2013 MAGIC Summoning: Towards Automatic Suggesting and Testing of Gestures With Low Probability of False Positives During Use JMLR 2013 Manifold Based Face Synthesis from Sparse Samples ICCV 2013 Manifold-based Similarity Adaptation for Label Propagation NeurIPS 2013 Manipulation Pattern Discovery: A Nonparametric Bayesian Approach ICCV 2013 Mapping paradigm ontologies to and from the brain NeurIPS 2013 Marginals-to-Models Reducibility NeurIPS 2013