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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

Showing 51100 of 753 papers

TitleStatusHype
Learning-to-Rank at the Speed of Sampling: Plackett-Luce Gradient Estimation With Minimal Computational ComplexityCode1
Learning to Rank in Generative RetrievalCode1
That is a Known Lie: Detecting Previously Fact-Checked ClaimsCode1
Hierarchical Entity Typing via Multi-level Learning to RankCode1
Controlling Fairness and Bias in Dynamic Learning-to-RankCode1
Learning to Rank Microphones for Distant Speech RecognitionCode1
Context-Aware Learning to Rank with Self-AttentionCode1
A Reference-less Quality Metric for Automatic Speech Recognition via Contrastive-Learning of a Multi-Language Model with Self-SupervisionCode1
Learning to Rank Question-Answer Pairs using Hierarchical Recurrent Encoder with Latent Topic ClusteringCode1
Decision-Focused Learning: Through the Lens of Learning to RankCode1
Introducing LETOR 4.0 DatasetsCode1
Offline Model-Based Optimization by Learning to RankCode1
L2R2: Leveraging Ranking for Abductive ReasoningCode1
NeuralNDCG: Direct Optimisation of a Ranking Metric via Differentiable Relaxation of SortingCode1
Ranking-aware adapter for text-driven image ordering with CLIPCode1
Lero: A Learning-to-Rank Query OptimizerCode1
LiPO: Listwise Preference Optimization through Learning-to-RankCode1
Listwise Learning to Rank by Exploring Unique RatingsCode1
Learning to Rank Rationales for Explainable RecommendationCode0
Learning to Rank Question Answer Pairs with Holographic Dual LSTM ArchitectureCode0
MGL2Rank: Learning to Rank the Importance of Nodes in Road Networks Based on Multi-Graph FusionCode0
Learning to Rank Query Graphs for Complex Question Answering over Knowledge GraphsCode0
A Learning-to-Rank Formulation of Clustering-Based Approximate Nearest Neighbor SearchCode0
Learning to Rank Using Localized Geometric Mean MetricsCode0
A Recurrent Model for Collective Entity Linking with Adaptive FeaturesCode0
Learning to Rank Ace Neural Architectures via Normalized Discounted Cumulative GainCode0
A Probabilistic Position Bias Model for Short-Video Recommendation FeedsCode0
Learning to Rank Patches for Unbiased Image Redundancy ReductionCode0
Distance-based Positive and Unlabeled Learning for RankingCode0
Learning to rank for censored survival dataCode0
Learning to Rank Context for Named Entity Recognition Using a Synthetic DatasetCode0
Learning to Rank from Relevance Judgments DistributionsCode0
Unbiased Learning to Rank with Unbiased Propensity EstimationCode0
An Offline Metric for the Debiasedness of Click ModelsCode0
Learning to Explain Entity Relationships in Knowledge GraphsCode0
Learning-To-Rank Approach for Identifying Everyday Objects Using a Physical-World Search EngineCode0
Breaking Annotation Barriers: Generalized Video Quality Assessment via Ranking-based Self-SupervisionCode0
LaSER: Language-Specific Event RecommendationCode0
Learning a Deep Listwise Context Model for Ranking RefinementCode0
Learning to Rank Aspects and Opinions for Comparative ExplanationsCode0
Learning to Rank Visual Stories From Human Ranking DataCode0
Is Interpretable Machine Learning Effective at Feature Selection for Neural Learning-to-Rank?Code0
Investigating the Robustness of Counterfactual Learning to Rank Models: A Reproducibility StudyCode0
Is Non-IID Data a Threat in Federated Online Learning to Rank?Code0
Improving Similar Case Retrieval Ranking Performance By Revisiting RankSVMCode0
An Efficient Combinatorial Optimization Model Using Learning-to-Rank DistillationCode0
Intersection of Parallels as an Early Stopping CriterionCode0
Learning Cluster Representatives for Approximate Nearest Neighbor SearchCode0
Joint Optimization of Cascade Ranking ModelsCode0
ImitAL: Learned Active Learning Strategy on Synthetic DataCode0
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