Ranking

Learning Personalized Attribute Preference via Multi-Task AUC Optimization AAAI 2019 Learning to Rank for Plausible Plausibility ACL 2019 Learning With Average Precision: Training Image Retrieval With a Listwise Loss ICCV 2019 MaxGap Bandit: Adaptive Algorithms for Approximate Ranking NeurIPS 2019 Multi-task Pairwise Neural Ranking for Hashtag Segmentation ACL 2019 Near-Neighbor Methods in Random Preference Completion AAAI 2019 No-Reference Image Quality Assessment with Reinforcement Recursive List-Wise Ranking AAAI 2019 Ranking and Sampling in Open-Domain Question Answering EMNLP 2019 Ranking of Potential Questions ACL 2019 Secretary Ranking with Minimal Inversions NeurIPS 2019 Supervised User Ranking in Signed Social Networks AAAI 2019 Text Assisted Insight Ranking Using Context-Aware Memory Network AAAI 2019 Towards Accurate One-Stage Object Detection With AP-Loss CVPR 2019 Uncoupled Regression from Pairwise Comparison Data NeurIPS 2019 Variational Inference from Ranked Samples with Features ACML 2019 Accelerated Spectral Ranking ICML 2018 Alignment Analysis of Sequential Segmentation of Lexicons to Improve Automatic Cognate Detection ACL 2018 A New and Flexible Approach to the Analysis of Paired Comparison Data JMLR 2018 A Structured Prediction Approach for Label Ranking NeurIPS 2018 Deep Relevance Ranking Using Enhanced Document-Query Interactions EMNLP 2018 Efficient Mechanisms for Peer Grading and Dueling Bandits ACML 2018 Efficient Optimization for Rank-Based Loss Functions CVPR 2018 Extractive Headline Generation Based on Learning to Rank for Community Question Answering COLING 2018 Generalized Rank-Breaking: Computational and Statistical Tradeoffs JMLR 2018 Hashing as Tie-Aware Learning to Rank CVPR 2018