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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 2976–3000 of 9051 papers

TitleStatusHype
Hybrid Ensemble Deep Graph Temporal Clustering for Spatiotemporal Data—0
Designing Affine OCDM Systems with Maximum Diversity—0
When SparseMoE Meets Noisy Interactions: An Ensemble View on Denoising RecommendationCode0
MURI: High-Quality Instruction Tuning Datasets for Low-Resource Languages via Reverse InstructionsCode0
Smirk: An Atomically Complete Tokenizer for Molecular Foundation Models—0
In-Context Learning of Linear Systems: Generalization Theory and Applications to Operator LearningCode0
EventAug: Multifaceted Spatio-Temporal Data Augmentation Methods for Event-based Learning—0
GUNet: A Graph Convolutional Network United Diffusion Model for Stable and Diversity Pose Generation—0
k-mer-based approaches to bridging pangenomics and population genetics—0
PainDiffusion: Can robot express pain?—0
RopeBEV: A Multi-Camera Roadside Perception Network in Bird's-Eye-View—0
Enhancing Complex Formula Recognition with Hierarchical Detail-Focused Network—0
A Chinese Continuous Sign Language Dataset Based on Complex Environments—0
SpoofCeleb: Speech Deepfake Detection and SASV In The Wild—0
Multivariate Analysis of Gut Microbiota Composition and Prevalence of Gastric Cancer—0
Data Efficient Acoustic Scene Classification using Teacher-Informed Confusing Class Instruction—0
TaCIE: Enhancing Instruction Comprehension in Large Language Models through Task-Centred Instruction Evolution—0
Augment, Drop & Swap: Improving Diversity in LLM Captions for Efficient Music-Text Representation Learning—0
Higher-order interactions in random Lotka-Volterra communities—0
A Framework for Ranking Content Providers Using Prompt Engineering and Self-Attention Network—0
AraDiCE: Benchmarks for Dialectal and Cultural Capabilities in LLMs—0
Synthetic data augmentation for robotic mobility aids to support blind and low vision people—0
Macroscopic properties of equity markets: stylized facts and portfolio performanceCode0
Diversity-grounded Channel Prototypical Learning for Out-of-Distribution Intent Detection—0
Multi-Cohort Framework with Cohort-Aware Attention and Adversarial Mutual-Information Minimization for Whole Slide Image Classification—0
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