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Ranking

95 directly classified papers

Papers per year

Papers

Ranking and Sampling in Open-Domain Question Answering EMNLP 2019
iSplit LBI: Individualized Partial Ranking with Ties via Split LBI NIPS 2019
Uncoupled Regression from Pairwise Comparison Data NIPS 2019
TopRank: A practical algorithm for online stochastic ranking NIPS 2018
A Structured Prediction Approach for Label Ranking NIPS 2018
Efficient Optimization for Rank-Based Loss Functions CVPR 2018
Hashing as Tie-Aware Learning to Rank CVPR 2018
Improving Implicit Recommender Systems with View Data IJCAI 2018
Sparse Concordance-assisted Learning for Optimal Treatment Decision JMLR 2018
Improving Pairwise Ranking for Multi-Label Image Classification CVPR 2017
Learning to Explain Entity Relationships by Pairwise Ranking with Convolutional Neural Networks IJCAI 2017
Understanding and Detecting Supporting Arguments of Diverse Types ACL 2017
Using Global Constraints and Reranking to Improve Cognates Detection ACL 2017
Optimal Sample Complexity of M-wise Data for Top-K Ranking NIPS 2017
Learning a Ground Truth Ranking Using Noisy Approval Votes IJCAI 2017
Learning Supervised PageRank with Gradient-Based and Gradient-Free Optimization Methods NIPS 2016
Surrogate Functions for Maximizing Precision at the Top ICML 2015
Predtron: A Family of Online Algorithms for General Prediction Problems NIPS 2015
Minimax-optimal Inference from Partial Rankings NIPS 2014
A Learning-to-Rank Approach for Image Color Enhancement CVPR 2014
Quality Assessment for Comparing Image Enhancement Algorithms CVPR 2014
Relative Parts: Distinctive Parts for Learning Relative Attributes CVPR 2014
New Learning Methods for Supervised and Unsupervised Preference Aggregation JMLR 2014
Top Rank Optimization in Linear Time NIPS 2014
Relative Attributes for Large-Scale Abandoned Object Detection ICCV 2013