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 551–575 of 753 papers

Title	Date	Tasks	Status
Uncertain Natural Language Inference	Sep 6, 2019	Learning-To-RankNatural Language Inference	—Unverified
PTDE: Personalized Training with Distilled Execution for Multi-Agent Reinforcement Learning	Oct 17, 2022	Learning-To-RankMulti-agent Reinforcement Learning	—Unverified
Alternative Objective Functions for Training MT Evaluation Metrics	Jul 1, 2017	Learning-To-RankMachine Translation	—Unverified
Quad-networks: unsupervised learning to rank for interest point detection	Nov 22, 2016	Interest Point DetectionLearning-To-Rank	—Unverified
Active Learning Ranking from Pairwise Preferences with Almost Optimal Query Complexity	Dec 1, 2011	Active LearningLearning-To-Rank	—Unverified
Query-level Early Exit for Additive Learning-to-Rank Ensembles	Apr 30, 2020	Learning-To-Rank	—Unverified
Query Understanding via Entity Attribute Identification	Sep 23, 2018	AttributeLearning-To-Rank	—Unverified
QU-IR at SemEval 2016 Task 3: Learning to Rank on Arabic Community Question Answering Forums with Word Embedding	Jun 1, 2016	Community Question AnsweringLearning-To-Rank	—Unverified
A Line in the Sand: Recommendation or Ad-hoc Retrieval?	Jul 21, 2018	Collaborative FilteringLearning-To-Rank	—Unverified
Unconfounded Propensity Estimation for Unbiased Ranking	May 17, 2023	Learning-To-Rank	—Unverified
What Are You Trying to Do? Semantic Typing of Event Processes	Nov 1, 2020	Learning-To-RankVocal Bursts Type Prediction	—Unverified
Rank4Class: A Ranking Formulation for Multiclass Classification	Dec 17, 2021	Classificationimage-classification	—Unverified
Rank4Class: Examining Multiclass Classification through the Lens of Learning to Rank	Sep 29, 2021	Classificationimage-classification	—Unverified
A Near-Optimal Single-Loop Stochastic Algorithm for Convex Finite-Sum Coupled Compositional Optimization	Dec 4, 2023	Learning-To-RankStochastic Optimization	—Unverified
A Learning-to-Rank Approach for Image Color Enhancement	Jun 1, 2014	Learning-To-Rank	—Unverified
RankDetNet: Delving Into Ranking Constraints for Object Detection	Jun 19, 2021	3D Object DetectionClassification	—Unverified
A Knowledge Graph Based Solution for Entity Discovery and Linking in Open-Domain Questions	Dec 5, 2018	Entity LinkingLearning-To-Rank	—Unverified
Ranker-agnostic Contextual Position Bias Estimation	Jul 28, 2021	Learning-To-RankPosition	—Unverified
AIBench: An Industry Standard Internet Service AI Benchmark Suite	Aug 13, 2019	BenchmarkingLearning-To-Rank	—Unverified
Ranking Across Different Content Types: The Robust Beauty of Multinomial Blending	Aug 17, 2024	Learning-To-Rank	—Unverified
A Hybrid BERT and LightGBM based Model for Predicting Emotion GIF Categories on Twitter	Aug 14, 2020	Learning-To-Rank	—Unverified
Understanding the Effects of Adversarial Personalized Ranking Optimization Method on Recommendation Quality	Jul 29, 2021	Learning-To-RankRecommendation Systems	—Unverified
Ranking Facts for Explaining Answers to Elementary Science Questions	Oct 18, 2021	Interpretable Machine LearningLearning-To-Rank	—Unverified
Understanding the Effects of the Baidu-ULTR Logging Policy on Two-Tower Models	Sep 18, 2024	Learning-To-Rank	—Unverified
Understanding the Gist of Images - Ranking of Concepts for Multimedia Indexing	Sep 23, 2018	Learning-To-Rank	—Unverified

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