learning to rank

Leveraging Unlabeled Data for Crowd Counting by Learning to Rank CVPR 2018 Ontology-Based Retrieval & Neural Approaches for BioASQ Ideal Answer Generation EMNLP 2018 Par4Sim – Adaptive Paraphrasing for Text Simplification COLING 2018 Patent Litigation Prediction: A Convolutional Tensor Factorization Approach IJCAI 2018 TopRank: A practical algorithm for online stochastic ranking NeurIPS 2018 Learning to Rank Retargeted Images CVPR 2017 Learning to Rank Semantic Coherence for Topic Segmentation EMNLP 2017 Off-policy evaluation for slate recommendation NeurIPS 2017 Online Learning to Rank in Stochastic Click Models ICML 2017 Online Learning to Rank with Top-k Feedback JMLR 2017 Optimal Sample Complexity of M-wise Data for Top-K Ranking NeurIPS 2017 PRUNE: Preserving Proximity and Global Ranking for Network Embedding NeurIPS 2017 Rank Aggregation and Prediction with Item Features AISTATS 2017 Understanding and Detecting Supporting Arguments of Diverse Types ACL 2017 Computational and Statistical Tradeoffs in Learning to Rank NeurIPS 2016 Contextual semibandits via supervised learning oracles NeurIPS 2016 Data-driven Rank Breaking for Efficient Rank Aggregation JMLR 2016 DCM Bandits: Learning to Rank with Multiple Clicks ICML 2016 Learning Supervised PageRank with Gradient-Based and Gradient-Free Optimization Methods NeurIPS 2016 Learning to Weight Translations using Ordinal Linear Regression and Query-generated Training Data for Ad-hoc Retrieval with Long Queries COLING 2016 Meta–Gradient Boosted Decision Tree Model for Weight and Target Learning ICML 2016 Multivariate Spearman's ρ for Aggregating Ranks Using Copulas JMLR 2016 Online Learning to Rank with Feedback at the Top AISTATS 2016 Activity Auto-Completion: Predicting Human Activities From Partial Videos ICCV 2015 Cascading Bandits: Learning to Rank in the Cascade Model ICML 2015