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Ranking

216 directly classified papers

Papers per year

Papers

Towards Comprehensive Recommender Systems: Time-Aware Unified Recommendations Based on Listwise Ranking of Implicit Cross-Network Data AAAI 2020
Beyond Pairwise Comparisons in Social Choice: A Setwise Kemeny Aggregation Problem AAAI 2020
StochasticRank: Global Optimization of Scale-Free Discrete Functions ICML 2020
The Sample Complexity of Best-$k$ Items Selection from Pairwise Comparisons ICML 2020
WikiUMLS: Aligning UMLS to Wikipedia via Cross-lingual Neural Ranking COLING 2020
Top-Rank-Focused Adaptive Vote Collection for the Evaluation of Domain-Specific Semantic Models EMNLP 2020
The World is Not Binary: Learning to Rank with Grayscale Data for Dialogue Response Selection EMNLP 2020
Risk Bounds for Low Cost Bipartite Ranking UAI 2020
No-Reference Image Quality Assessment with Reinforcement Recursive List-Wise Ranking AAAI 2019
Supervised User Ranking in Signed Social Networks AAAI 2019
Text Assisted Insight Ranking Using Context-Aware Memory Network AAAI 2019
FANDA: A Novel Approach to Perform Follow-Up Query Analysis AAAI 2019
Ranking of Potential Questions ACL 2019
A Fast Sampling Algorithm for Maximum Inner Product Search AISTATS 2019
Learning With Average Precision: Training Image Retrieval With a Listwise Loss ICCV 2019
Accelerate Learning of Deep Hashing With Gradient Attention ICCV 2019
A Domain Generalization Perspective on Listwise Context Modeling AAAI 2019
Dual-View Ranking with Hardness Assessment for Zero-Shot Learning AAAI 2019
Improving Low-Resource Cross-lingual Document Retrieval by Reranking with Deep Bilingual Representations ACL 2019
Learning to Rank for Plausible Plausibility ACL 2019
Consensual Affine Transformations for Partial Valuation Aggregation AAAI 2019
Near-Neighbor Methods in Random Preference Completion AAAI 2019
Multi-task Pairwise Neural Ranking for Hashtag Segmentation ACL 2019
Dataset Creation for Ranking Constructive News Comments ACL 2019
Evaluating Research Novelty Detection: Counterfactual Approaches EMNLP 2019