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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 8176–8200 of 9051 papers

TitleStatusHype
Denoising Diffusion Probabilistic Models for Styled Walking Synthesis—0
Controllable and Diverse Text Generation in E-commerce—0
Controllable and Diverse Data Augmentation with Large Language Model for Low-Resource Open-Domain Dialogue Generation—0
Dense Video Captioning: A Survey of Techniques, Datasets and Evaluation Protocols—0
Density-based User Representation using Gaussian Process Regression for Multi-interest Personalized Retrieval—0
Density Descent for Diversity Optimization—0
Control Contraction Metric Synthesis for Discrete-time Nonlinear Systems—0
Contribution à l'Optimisation d'un Comportement Collectif pour un Groupe de Robots Autonomes—0
Contribuição do ecoturismo para o uso sustentável dos recursos hídricos do município de Rondonópolis-MT—0
Contrastive Speaker-Aware Learning for Multi-party Dialogue Generation with LLMs—0
Contrastive Positive Mining for Unsupervised 3D Action Representation Learning—0
Adversarial Diversity and Hard Positive Generation—0
DE/RM-MEDA: A New Hybrid Multi-Objective Generator—0
Derm-T2IM: Harnessing Synthetic Skin Lesion Data via Stable Diffusion Models for Enhanced Skin Disease Classification using ViT and CNN—0
SwipeCut: Interactive Segmentation with Diversified Seed Proposals—0
Design and Analysis of Diversity-Based Parent Selection Schemes for Speeding Up Evolutionary Multi-objective Optimisation—0
Design and Evaluation of the Corpus of Everyday Japanese Conversation—0
Design and Performance Analysis of a New STBC-MIMO LoRa System—0
Design Diversity for Improving Efficiency and Reducing Risk in Oil and Gas Well Stimulation under Uncertain Reservoir Conditions—0
Designing Air Flow with Surrogate-assisted Phenotypic Niching—0
Designing and Evaluating Interfaces that Highlight News Coverage Diversity Using Discord Questions—0
Contrastive Learning from Synthetic Audio Doppelgängers—0
Designing a Robust Radiology Report Generation System—0
Designing Data: Proactive Data Collection and Iteration for Machine Learning—0
Designing Recommender Systems to Depolarize—0
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