Structured Prediction

Structured Learning for Cell Tracking NeurIPS 2011 A Primal-Dual Message-Passing Algorithm for Approximated Large Scale Structured Prediction NeurIPS 2010 Beyond Actions: Discriminative Models for Contextual Group Activities NeurIPS 2010 Direct Loss Minimization for Structured Prediction NeurIPS 2010 Empirical Risk Minimization with Approximations of Probabilistic Grammars NeurIPS 2010 Energy Disaggregation via Discriminative Sparse Coding NeurIPS 2010 Estimating Spatial Layout of Rooms using Volumetric Reasoning about Objects and Surfaces NeurIPS 2010 Evidence-Specific Structures for Rich Tractable CRFs NeurIPS 2010 Improving Human Judgments by Decontaminating Sequential Dependencies NeurIPS 2010 MAP estimation in Binary MRFs via Bipartite Multi-cuts NeurIPS 2010 More data means less inference: A pseudo-max approach to structured learning NeurIPS 2010 Sidestepping Intractable Inference with Structured Ensemble Cascades NeurIPS 2010 Static Analysis of Binary Executables Using Structural SVMs NeurIPS 2010 Structured Determinantal Point Processes NeurIPS 2010 A Rate Distortion Approach for Semi-Supervised Conditional Random Fields NeurIPS 2009 Distribution Matching for Transduction NeurIPS 2009 Hierarchical Mixture of Classification Experts Uncovers Interactions between Brain Regions NeurIPS 2009 Local Rules for Global MAP: When Do They Work ? NeurIPS 2009 Global Ranking Using Continuous Conditional Random Fields NeurIPS 2008 Hierarchical Semi-Markov Conditional Random Fields for Recursive Sequential Data NeurIPS 2008 Partially Observed Maximum Entropy Discrimination Markov Networks NeurIPS 2008 Predicting the Geometry of Metal Binding Sites from Protein Sequence NeurIPS 2008 Robust Near-Isometric Matching via Structured Learning of Graphical Models NeurIPS 2008 Structured ranking learning using cumulative distribution networks NeurIPS 2008 Tighter Bounds for Structured Estimation NeurIPS 2008