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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 5251–5275 of 9051 papers

TitleStatusHype
Towards Psychologically-Grounded Dynamic Preference Models—0
LMGQS: A Large-scale Dataset for Query-focused Summarization—0
Autoregressive Speech Synthesis without Vector Quantization—0
Local adaptation, phenotypic plasticity, and species coexistence—0
Local and collective transitions in sparsely-interacting ecological communities—0
Local Attention Pyramid for Scene Image Generation—0
Local Diversity and Ultra-Reliable Antenna Arrays—0
Towards QD-suite: developing a set of benchmarks for Quality-Diversity algorithms—0
Towards Quantifying The Privacy Of Redacted Text—0
Local Implicit Grid Representations for 3D Scenes—0
Towards Radar Emitter Recognition in Changing Environments with Domain Generalization—0
Internal Feedback in Biological Control: Diversity, Delays, and Standard Theory—0
Localization and Expansion: A Decoupled Framework for Point Cloud Few-shot Semantic Segmentation—0
Localized Lasso for High-Dimensional Regression—0
Locally Weighted Ensemble Clustering—0
Local Magnification for Data and Feature Augmentation—0
Local Optima in Diversity Optimization: Non-trivial Offspring Population is Essential—0
AutoQD: Automatic Discovery of Diverse Behaviors with Quality-Diversity Optimization—0
Local Relationship Learning With Person-Specific Shape Regularization for Facial Action Unit Detection—0
Location-based Initial Access for Wireless Power Transfer with Physically Large Arrays—0
Locomotion-Action-Manipulation: Synthesizing Human-Scene Interactions in Complex 3D Environments—0
Autonomous AI imitators increase diversity in homogeneous information ecosystems—0
Towards Realistic Emotional Voice Conversion using Controllable Emotional Intensity—0
LOGen: Toward Lidar Object Generation by Point Diffusion—0
Logistic Regression Analysis on the Dietary Behavior and the Risk of Nutritional Deficiency Dermatosis: The Case of Bicol Region, Philippines—0
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