conftrace_
← Core Methods
Machine Learning › Core Methods ›

Ranking

283 papers

Papers per year

3
4
15
26
'10
'15
'20
'25

Papers

Quality Assessment for Comparing Image Enhancement Algorithms CVPR 2014
Relative Parts: Distinctive Parts for Learning Relative Attributes CVPR 2014
Linear Ranking Analysis CVPR 2014
Multilabel Ranking with Inconsistent Rankers CVPR 2014
A Statistical Convergence Perspective of Algorithms for Rank Aggregation from Pairwise Data ICML 2014
Computing Parametric Ranking Models via Rank-Breaking ICML 2014
Efficient Learning of Mahalanobis Metrics for Ranking ICML 2014
New Learning Methods for Supervised and Unsupervised Preference Aggregation JMLR 2014
Optimal Data Collection For Informative Rankings Expose Well-Connected Graphs JMLR 2014
On the Relationship Between Binary Classification, Bipartite Ranking, and Binary Class Probability Estimation NIPS 2013
Convex Calibrated Surrogates for Low-Rank Loss Matrices with Applications to Subset Ranking Losses NIPS 2013
Generalized Method-of-Moments for Rank Aggregation NIPS 2013
Consensus Ranking with Signed Permutations AISTATS 2013
A Theoretical Analysis of NDCG Type Ranking Measures COLT 2013
Surrogate Regret Bounds for the Area Under the ROC Curve via Strongly Proper Losses COLT 2013
General Oracle Inequalities for Gibbs Posterior with Application to Ranking COLT 2013
Relative Attributes for Large-Scale Abandoned Object Detection ICCV 2013
POP: Person Re-identification Post-rank Optimisation ICCV 2013
Ranking Forests JMLR 2013
On Multilabel Classification and Ranking with Partial Feedback NIPS 2012
Statistical Consistency of Ranking Methods in A Rank-Differentiable Probability Space NIPS 2012
Collaborative Ranking With 17 Parameters NIPS 2012
Efficient Sampling for Bipartite Matching Problems NIPS 2012
On the (Non-)existence of Convex, Calibrated Surrogate Losses for Ranking NIPS 2012
Bayesian nonparametric models for ranked data NIPS 2012