SOTAVerified|Agents Browse Leaderboard About

Learning-To-Rank

Learning to rank is the application of machine learning to build ranking models. Some common use cases for ranking models are information retrieval (e.g., web search) and news feeds application (think Twitter, Facebook, Instagram).

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 461–470 of 753 papers

Title	Date	Tasks	Status
ASU at TextGraphs 2019 Shared Task: Explanation ReGeneration using Language Models and Iterative Re-Ranking	Sep 19, 2019	Learning-To-RankRe-Ranking	—Unverified
MarlRank: Multi-agent Reinforced Learning to Rank	Sep 15, 2019	Document RankingLearning-To-Rank	—Unverified
Plackett-Luce model for learning-to-rank task	Sep 15, 2019	Learning-To-Rankmodel	—Unverified
Analysis of Regression Tree Fitting Algorithms in Learning to Rank	Sep 12, 2019	Learning-To-Rankregression	—Unverified
Pairwise Learning to Rank by Neural Networks Revisited: Reconstruction, Theoretical Analysis and Practical Performance	Sep 6, 2019	Learning-To-Rank	CodeCode Available
Uncertain Natural Language Inference	Sep 6, 2019	Learning-To-RankNatural Language Inference	—Unverified
Answering questions by learning to rank -- Learning to rank by answering questions	Sep 2, 2019	ARCLearning-To-Rank	—Unverified
Explore Entity Embedding Effectiveness in Entity Retrieval	Aug 28, 2019	Entity RetrievalLearning-To-Rank	—Unverified
A Study of BERT for Non-Factoid Question-Answering under Passage Length Constraints	Aug 19, 2019	Learning-To-RankPassage Re-Ranking	—Unverified
A Machine Learning Approach for Smartphone-based Sensing of Roads and Driving Style	Aug 15, 2019	BIG-bench Machine LearningLearning-To-Rank	—Unverified

Show:10 25 50

← PrevPage 47 of 76Next →

No leaderboard results yet.