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conftrace_

learning to rank

192 papers

LTR LETOR

Papers

Cascading Linear Submodular Bandits: Accounting for Position Bias and Diversity in Online Learning to Rank UAI 2019 Cost-Sensitive Learning to Rank AAAI 2019 Data Augmentation Based on Adversarial Autoencoder Handling Imbalance for Learning to Rank AAAI 2019 Deep Metric Learning to Rank CVPR 2019 Learning to Rank for Plausible Plausibility ACL 2019 Learning to Rank Proposals for Object Detection ICCV 2019 Learning to select for a predefined ranking ICML 2019 Near-Neighbor Methods in Random Preference Completion AAAI 2019 Online Learning to Rank with Features ICML 2019 Policy Learning for Fairness in Ranking NeurIPS 2019 Ranking Passages for Argument Convincingness ACL 2019 Team SVMrank: Leveraging Feature-rich Support Vector Machines for Ranking Explanations to Elementary Science Questions EMNLP 2019 The DipInfoUniTo Realizer at SRST’19: Learning to Rank and Deep Morphology Prediction for Multilingual Surface Realization EMNLP 2019 Uncoupled Regression from Pairwise Comparison Data NeurIPS 2019 A Neural Autoencoder Approach for Document Ranking and Query Refinement in Pharmacogenomic Information Retrieval ACL 2018 Biomedical Document Retrieval for Clinical Decision Support System ACL 2018 Cross-Lingual Learning-to-Rank with Shared Representations NAACL 2018 Direct Learning to Rank And Rerank AISTATS 2018 Distractor Generation for Multiple Choice Questions Using Learning to Rank NAACL 2018 Efficient Optimization for Rank-Based Loss Functions CVPR 2018 Entity Linking within a Social Media Platform: A Case Study on Yelp EMNLP 2018 Extractive Headline Generation Based on Learning to Rank for Community Question Answering COLING 2018 Extreme Learning to Rank via Low Rank Assumption ICML 2018 Hashing as Tie-Aware Learning to Rank CVPR 2018 Learning with Sparse and Biased Feedback for Personal Search IJCAI 2018