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Diversity

Diversity in data sampling is crucial across various use cases, including search, recommendation systems, and more. Ensuring diverse samples means capturing a wide range of variations and perspectives, which leads to more robust, unbiased, and comprehensive models. In search use cases, for instance, diversity helps avoid redundancy, ensuring that users are exposed to a broader set of relevant information rather than repeated similar results.

Papers

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Showing 5901–5925 of 9051 papers

TitleStatusHype
Named Entity Recognition on Code-Switched Data: Overview of the CALCS 2018 Shared Task—0
Two is Better than One: Efficient Ensemble Defense for Robust and Compact Models—0
Two Kinds of Recall—0
When Molecular GAN Meets Byte-Pair Encoding—0
Natural Language Generation for Advertising: A Survey—0
Natural Language Processing in Customer Service: A Systematic Review—0
Natural Language to Code Generation in Interactive Data Science Notebooks—0
Naturally Private Recommendations with Determinantal Point Processes—0
Assessment of Practical Smart Gateway Diversity Based on Multi-Site Measurements in Q/V band—0
Navigating High-Dimensional Backstage: A Guide for Exploring Literature for the Reliable Use of Dimensionality Reduction—0
Navigating the Structured What-If Spaces: Counterfactual Generation via Structured Diffusion—0
Navigating the Thin Line: Examining User Behavior in Search to Detect Engagement and Backfire Effects—0
Assessment of Left Atrium Motion Deformation Through Full Cardiac Cycle—0
NAYEL @LT-EDI-ACL2022: Homophobia/Transphobia Detection for Equality, Diversity, and Inclusion using SVM—0
Nearest-Neighbor Inter-Intra Contrastive Learning from Unlabeled Videos—0
Assessing Viewpoint Diversity in Search Results Using Ranking Fairness Metrics—0
Near Perfect GAN Inversion—0
Negatively Correlated Search—0
Parallel Exploration via Negatively Correlated Search—0
Two-pass Decoding and Cross-adaptation Based System Combination of End-to-end Conformer and Hybrid TDNN ASR Systems—0
NeRF Solves Undersampled MRI Reconstruction—0
A Closer Look at Few-shot Image Generation—0
Nested Scale Editing for Conditional Image Synthesis—0
Nested Scale-Editing for Conditional Image Synthesis—0
Netizen-Style Commenting on Fashion Photos: Dataset and Diversity Measures—0
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