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 191–200 of 753 papers

Title	Date	Tasks	Status	Hype
LaSER: Language-Specific Event Recommendation	Feb 24, 2023	Information RetrievalLearning-To-Rank	CodeCode Available	0
Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-oriented Dialogue Systems	Feb 20, 2023	Learning-To-RankReinforcement Learning (RL)	CodeCode Available	0
Ensemble Ranking Model with Multiple Pretraining Strategies for Web Search	Feb 18, 2023	Learning-To-Rank	—Unverified	0
Feature-Enhanced Network with Hybrid Debiasing Strategies for Unbiased Learning to Rank	Feb 15, 2023	Learning-To-Rank	—Unverified	0
Lero: A Learning-to-Rank Query Optimizer	Feb 14, 2023	Binary ClassificationLearning-To-Rank	CodeCode Available	1
PASSerRank: Prediction of Allosteric Sites with Learning to Rank	Feb 2, 2023	Drug DiscoveryLearning-To-Rank	CodeCode Available	0
Learning to Rank Normalized Entropy Curves with Differentiable Window Transformation	Jan 25, 2023	Learning-To-RankRecommendation Systems	—Unverified	0
Overcoming Prior Misspecification in Online Learning to Rank	Jan 25, 2023	Learning-To-Rank	CodeCode Available	0
CoSPLADE: Contextualizing SPLADE for Conversational Information Retrieval	Jan 11, 2023	Conversational SearchInformation Retrieval	CodeCode Available	0
Towards Disentangling Relevance and Bias in Unbiased Learning to Rank	Dec 28, 2022	Learning-To-Rank	—Unverified	0

Show:10 25 50

← PrevPage 20 of 76Next →

No leaderboard results yet.