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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 7826–7850 of 9051 papers

TitleStatusHype
CrashAgent: Crash Scenario Generation via Multi-modal Reasoning—0
CRD-CGAN: Category-Consistent and Relativistic Constraints for Diverse Text-to-Image Generation—0
CREA: A Collaborative Multi-Agent Framework for Creative Content Generation with Diffusion Models—0
Creating a Basic Language Resource Kit for Faroese—0
Creating and Characterizing a Diverse Corpus of Sarcasm in Dialogue—0
Creating and Repairing Robot Programs in Open-World Domains—0
Creating Auxiliary Representations from Charge Definitions for Criminal Charge Prediction—0
Stylistic Retrieval-based Dialogue System with Unparallel Training Data—0
StyLitGAN: Image-Based Relighting via Latent Control—0
Creative Preference Optimization—0
Creativity Has Left the Chat: The Price of Debiasing Language Models—0
Crafting a Good Prompt or Providing Exemplary Dialogues? A Study of In-Context Learning for Persona-based Dialogue Generation—0
CPLM, a Parallel Corpus for Mexican Languages: Development and Interface—0
Critic Sequential Monte Carlo—0
Multiscale guidance of AlphaFold3 with heterogeneous cryo-EM data—0
COVIDx CXR-4: An Expanded Multi-Institutional Open-Source Benchmark Dataset for Chest X-ray Image-Based Computer-Aided COVID-19 Diagnostics—0
Cross-Cutting Political Awareness through Diverse News Recommendations—0
Cross-Dataset Generalization in Deep Learning—0
Covariance Matrix Adaptation MAP-Annealing—0
AERF: Adaptive ensemble random fuzzy algorithm for anomaly detection in cloud computing—0
Cross-domain Adaptation with Discrepancy Minimization for Text-independent Forensic Speaker Verification—0
CourseGPT-zh: an Educational Large Language Model Based on Knowledge Distillation Incorporating Prompt Optimization—0
Sub-Graph Learning for Spatiotemporal Forecasting via Knowledge Distillation—0
Cross-feeding Creates Tipping Points in Microbiome Diversity—0
Coupling in situ and remote sensing data to assess α- and β-diversity over biogeographic gradients—0
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