learning to rank

Cross-Domain Image Retrieval With a Dual Attribute-Aware Ranking Network ICCV 2015 Generalization error bounds for learning to rank: Does the length of document lists matter? ICML 2015 Learning Efficient Anomaly Detectors from K-NN Graphs AISTATS 2015 Learning to Rank Based on Subsequences ICCV 2015 Learning to Rank in Person Re-Identification With Metric Ensembles CVPR 2015 Making Better Use of Edges via Perceptual Grouping CVPR 2015 MANTRA: Minimum Maximum Latent Structural SVM for Image Classification and Ranking ICCV 2015 Online Ranking with Top-1 Feedback AISTATS 2015 Predtron: A Family of Online Algorithms for General Prediction Problems NeurIPS 2015 Active Learning Using Smooth Relative Regret Approximations with Applications JMLR 2014 A Learning-to-Rank Approach for Image Color Enhancement CVPR 2014 A Representation Theory for Ranking Functions NeurIPS 2014 New Learning Methods for Supervised and Unsupervised Preference Aggregation JMLR 2014 Quality Assessment for Comparing Image Enhancement Algorithms CVPR 2014 Ranking via Robust Binary Classification NeurIPS 2014 A Theoretical Analysis of NDCG Type Ranking Measures COLT 2013 Implied Feedback: Learning Nuances of User Behavior in Image Search ICCV 2013 Learning to Rank Using Privileged Information ICCV 2013 Ranked Bandits in Metric Spaces: Learning Diverse Rankings over Large Document Collections JMLR 2013 Accuracy at the Top NeurIPS 2012 Active Learning Using Smooth Relative Regret Approximations with Applications COLT 2012 An Active Learning Algorithm for Ranking from Pairwise Preferences with an Almost Optimal Query Complexity JMLR 2012 Collaborative Ranking With 17 Parameters NeurIPS 2012 On the (Non-)existence of Convex, Calibrated Surrogate Losses for Ranking NeurIPS 2012 Perturbation based Large Margin Approach for Ranking AISTATS 2012