Ranking

SetRank: A Setwise Bayesian Approach for Collaborative Ranking from Implicit Feedback AAAI 2020 Spectral Methods for Ranking with Scarce Data UAI 2020 StochasticRank: Global Optimization of Scale-Free Discrete Functions ICML 2020 The Sample Complexity of Best-k Items Selection from Pairwise Comparisons ICML 2020 The World is Not Binary: Learning to Rank with Grayscale Data for Dialogue Response Selection EMNLP 2020 Top-Rank-Focused Adaptive Vote Collection for the Evaluation of Domain-Specific Semantic Models EMNLP 2020 Towards Comprehensive Recommender Systems: Time-Aware Unified Recommendations Based on Listwise Ranking of Implicit Cross-Network Data AAAI 2020 WikiUMLS: Aligning UMLS to Wikipedia via Cross-lingual Neural Ranking COLING 2020 Accelerate Learning of Deep Hashing With Gradient Attention ICCV 2019 A Domain Generalization Perspective on Listwise Context Modeling AAAI 2019 A Fast Sampling Algorithm for Maximum Inner Product Search AISTATS 2019 APRP: An Anonymous Propagation Method in Bitcoin Network AAAI 2019 Beyond Greedy Ranking: Slate Optimization via List-CVAE ICLR 2019 Consensual Affine Transformations for Partial Valuation Aggregation AAAI 2019 Cost-Sensitive Learning to Rank AAAI 2019 Dataset Creation for Ranking Constructive News Comments ACL 2019 Differentiable Ranking and Sorting using Optimal Transport NeurIPS 2019 Dual-View Ranking with Hardness Assessment for Zero-Shot Learning AAAI 2019 Evaluating Research Novelty Detection: Counterfactual Approaches EMNLP 2019 FANDA: A Novel Approach to Perform Follow-Up Query Analysis AAAI 2019 Improving Low-Resource Cross-lingual Document Retrieval by Reranking with Deep Bilingual Representations ACL 2019 Improving One-Class Collaborative Filtering via Ranking-Based Implicit Regularizer AAAI 2019 Improving Open Information Extraction via Iterative Rank-Aware Learning ACL 2019 Incorporating Semantic Similarity with Geographic Correlation for Query-POI Relevance Learning AAAI 2019 iSplit LBI: Individualized Partial Ranking with Ties via Split LBI NeurIPS 2019