structured prediction

Computing the M Most Probable Modes of a Graphical Model AISTATS 2013 Conditional Random Fields via Univariate Exponential Families NeurIPS 2013 GeoF: Geodesic Forests for Learning Coupled Predictors CVPR 2013 k-Prototype Learning for 3D Rigid Structures NeurIPS 2013 Latent Structured Active Learning NeurIPS 2013 Learning Adaptive Value of Information for Structured Prediction NeurIPS 2013 Learning Convex QP Relaxations for Structured Prediction ICML 2013 Learning Efficient Random Maximum A-Posteriori Predictors with Non-Decomposable Loss Functions NeurIPS 2013 Learning for Structured Prediction Using Approximate Subgradient Descent with Working Sets CVPR 2013 Learning Stochastic Feedforward Neural Networks NeurIPS 2013 Learning to Detect Partially Overlapping Instances CVPR 2013 Manhattan Junction Catalogue for Spatial Reasoning of Indoor Scenes CVPR 2013 Structured Learning via Logistic Regression NeurIPS 2013 Cocktail Party Processing via Structured Prediction NeurIPS 2012 High-Dimensional Structured Feature Screening Using Binary Markov Random Fields AISTATS 2012 Learning Low-order Models for Enforcing High-order Statistics AISTATS 2012 MAP Inference in Chains using Column Generation NeurIPS 2012 Max-Margin Structured Output Regression for Spatio-Temporal Action Localization NeurIPS 2012 Multiple Choice Learning: Learning to Produce Multiple Structured Outputs NeurIPS 2012 Randomized Optimum Models for Structured Prediction AISTATS 2012 An Exact Algorithm for F-Measure Maximization NeurIPS 2011 A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning AISTATS 2011 Empirical Risk Minimization of Graphical Model Parameters Given Approximate Inference, Decoding, and Model Structure AISTATS 2011 Exploitation of Machine Learning Techniques in Modelling Phrase Movements for Machine Translation JMLR 2011 Generalization Bounds and Consistency for Latent Structural Probit and Ramp Loss NeurIPS 2011