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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 51–100 of 753 papers

TitleStatusHype
Context-Aware Learning to Rank with Self-AttentionCode1
An Efficient Approach for Cross-Silo Federated Learning to RankCode1
Selective Weak Supervision for Neural Information RetrievalCode1
RankCSE: Unsupervised Sentence Representations Learning via Learning to RankCode1
A Large Scale Search Dataset for Unbiased Learning to RankCode1
On the Calibration and Uncertainty of Neural Learning to Rank ModelsCode1
NeuralNDCG: Direct Optimisation of a Ranking Metric via Differentiable Relaxation of SortingCode1
A Reference-less Quality Metric for Automatic Speech Recognition via Contrastive-Learning of a Multi-Language Model with Self-SupervisionCode1
Introducing LETOR 4.0 DatasetsCode1
Controlling Fairness and Bias in Dynamic Learning-to-RankCode1
Learning to Rank in Generative RetrievalCode1
Learning-to-Rank at the Speed of Sampling: Plackett-Luce Gradient Estimation With Minimal Computational ComplexityCode1
Enhancing Cross-Sectional Currency Strategies by Context-Aware Learning to Rank with Self-AttentionCode1
Learning Groupwise Multivariate Scoring Functions Using Deep Neural NetworksCode1
MIST-CF: Chemical formula inference from tandem mass spectraCode1
Dual-Branch Network for Portrait Image Quality AssessmentCode1
Unimodal-Concentrated Loss: Fully Adaptive Label Distribution Learning for Ordinal RegressionCode1
GLEN: Generative Retrieval via Lexical Index LearningCode1
A scale invariant ranking function for learning-to-rank: a real-world use case—0
ARSM Gradient Estimator for Supervised Learning to Rank—0
A Near-Optimal Single-Loop Stochastic Algorithm for Convex Finite-Sum Coupled Compositional Optimization—0
A Representation Theory for Ranking Functions—0
Are Neural Ranking Models Robust?—0
A Deep Investigation of Deep IR Models—0
Neural IR Meets Graph Embedding: A Ranking Model for Product Search—0
A Learning-to-Rank Approach for Image Color Enhancement—0
Chiplet Placement Order Exploration Based on Learning to Rank with Graph Representation—0
Application of the Ranking Relative Principal Component Attributes Network Model (REL-PCANet) for the Inclusive Development Index Estimation—0
Addressing Purchase-Impression Gap through a Sequential Re-ranker—0
Choice by Elimination via Deep Neural Networks—0
CICBUAPnlp: Graph-Based Approach for Answer Selection in Community Question Answering Task—0
A Passage-Based Approach to Learning to Rank Documents—0
Answering questions by learning to rank - Learning to rank by answering questions—0
A Knowledge Graph Based Solution for Entity Discovery and Linking in Open-Domain Questions—0
Answering questions by learning to rank -- Learning to rank by answering questions—0
AIBench: An Industry Standard Internet Service AI Benchmark Suite—0
Addressing Community Question Answering in English and Arabic—0
Adaptive Neural Ranking Framework: Toward Maximized Business Goal for Cascade Ranking Systems—0
An IPW-based Unbiased Ranking Metric in Two-sided Markets—0
An Exploratory Study on Simulated Annealing for Feature Selection in Learning-to-Rank—0
A Hybrid BERT and LightGBM based Model for Predicting Emotion GIF Categories on Twitter—0
A Neural Autoencoder Approach for Document Ranking and Query Refinement in Pharmacogenomic Information Retrieval—0
Bounded-Abstention Pairwise Learning to Rank—0
Improving Neural Ranking via Lossless Knowledge Distillation—0
A Hierarchical Semantics-Aware Distributional Similarity Scheme—0
Chinese-to-Japanese Patent Machine Translation based on Syntactic Pre-ordering forWAT 2015—0
A new perspective on classification: optimally allocating limited resources to uncertain tasks—0
Bridging the Gap: Incorporating a Semantic Similarity Measure for Effectively Mapping PubMed Queries to Documents—0
Bring you to the past: Automatic Generation of Topically Relevant Event Chronicles—0
Chinese-to-Japanese Patent Machine Translation based on Syntactic Pre-ordering for WAT 2016—0
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