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

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Showing 51–75 of 753 papers

Title	Date	Tasks	Status	Hype
Controlling Fairness and Bias in Dynamic Learning-to-Rank	May 29, 2020	ArticlesFairness	CodeCode Available	1
Uncertainty-Aware Blind Image Quality Assessment in the Laboratory and Wild	May 28, 2020	Image Quality AssessmentLearning-To-Rank	CodeCode Available	1
L2R2: Leveraging Ranking for Abductive Reasoning	May 22, 2020	Language ModellingLearning-To-Rank	CodeCode Available	1
Accelerated Convergence for Counterfactual Learning to Rank	May 21, 2020	counterfactualLearning-To-Rank	CodeCode Available	1
Context-Aware Learning to Rank with Self-Attention	May 20, 2020	Learning-To-Rank	CodeCode Available	1
That is a Known Lie: Detecting Previously Fact-Checked Claims	May 12, 2020	Fact CheckingLearning-To-Rank	CodeCode Available	1
RaCT: Toward Amortized Ranking-Critical Training For Collaborative Filtering	May 1, 2020	Collaborative FilteringLearning-To-Rank	CodeCode Available	1
Hierarchical Entity Typing via Multi-level Learning to Rank	Apr 5, 2020	DecoderEntity Typing	CodeCode Available	1
TREC CAsT 2019: The Conversational Assistance Track Overview	Mar 30, 2020	Conversational SearchLearning-To-Rank	CodeCode Available	1
Gradient Boosting Neural Networks: GrowNet	Feb 19, 2020	Learning-To-Rankregression	CodeCode Available	1
Selective Weak Supervision for Neural Information Retrieval	Jan 28, 2020	Information RetrievalLearning-To-Rank	CodeCode Available	1
Listwise Learning to Rank by Exploring Unique Ratings	Jan 7, 2020	Learning-To-Rank	CodeCode Available	1
Learning to Blindly Assess Image Quality in the Laboratory and Wild	Jul 1, 2019	Image Quality AssessmentLearning-To-Rank	CodeCode Available	1
Towards Amortized Ranking-Critical Training for Collaborative Filtering	Jun 10, 2019	Collaborative FilteringLearning-To-Rank	CodeCode Available	1
Learning Groupwise Multivariate Scoring Functions Using Deep Neural Networks	Nov 11, 2018	Learning-To-Rank	CodeCode Available	1
Learning to Rank Question-Answer Pairs using Hierarchical Recurrent Encoder with Latent Topic Clustering	Oct 10, 2017	Answer SelectionClustering	CodeCode Available	1
Learning Latent Vector Spaces for Product Search	Aug 25, 2016	Learning-To-Rankparameter estimation	CodeCode Available	1
Introducing LETOR 4.0 Datasets	Jun 9, 2013	Learning-To-Rank	CodeCode Available	1
Towards Two-Stage Counterfactual Learning to Rank	Jun 25, 2025	counterfactualLearning-To-Rank	—Unverified	0
Unidentified and Confounded? Understanding Two-Tower Models for Unbiased Learning to Rank	Jun 25, 2025	Learning-To-Rank	CodeCode Available	0
LTRR: Learning To Rank Retrievers for LLMs	Jun 16, 2025	Learning-To-RankRAG	CodeCode Available	0
Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery	Jun 10, 2025	Causal DiscoveryCausal Inference	CodeCode Available	0
Bounded-Abstention Pairwise Learning to Rank	May 29, 2025	Decision MakingLearning-To-Rank	—Unverified	0
Learning to Rank Chain-of-Thought: An Energy-Based Approach with Outcome Supervision	May 21, 2025	GSM8KLearning-To-Rank	—Unverified	0
Unlearning for Federated Online Learning to Rank: A Reproducibility Study	May 19, 2025	Learning-To-Rank	CodeCode Available	0

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