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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 5426–5450 of 9051 papers

TitleStatusHype
STNet: Scale Tree Network with Multi-level Auxiliator for Crowd Counting—0
Stochastic Adversarial Gradient Embedding for Active Domain Adaptation—0
Stochastic Channel Decorrelation Network and Its Application to Visual Tracking—0
Stochastic Conditional Generative Networks with Basis Decomposition—0
Stochastic Linear Contextual Bandits with Diverse Contexts—0
Stochastic modeling of cyclic cancer treatments under common noise—0
Stochastic Sampling from Deterministic Flow Models—0
Stochastic single-particle based simulations of cellular signaling embedded into computational models of cellular morphology—0
Stochastic Super-resolution of Cosmological Simulations with Denoising Diffusion Models—0
Stochastic Variational Propagation: Local, Scalable and Efficient Alternative to Backpropagation—0
SToLa: Self-Adaptive Touch-Language Framework with Tactile Commonsense Reasoning in Open-Ended Scenarios—0
STORM: A Spatio-Temporal Factor Model Based on Dual Vector Quantized Variational Autoencoders for Financial Trading—0
STORYANCHORS: Generating Consistent Multi-Scene Story Frames for Long-Form Narratives—0
Story-Driven Summarization for Egocentric Video—0
Strategic Client Selection to Address Non-IIDness in HAPS-enabled FL Networks—0
Strategic Coupon Allocation for Increasing Providers' Sales Experiences in Two-sided Marketplaces—0
Strategic priorities for transformative progress in advancing biology with proteomics and artificial intelligence—0
Strategies for Structuring Story Generation—0
Stratification of Systemic Lupus Erythematosus Patients Using Gene Expression Data to Reveal Expression of Distinct Immune Pathways—0
Stratified Data Integration—0
Stream-based Active Learning by Exploiting Temporal Properties in Perception with Temporal Predicted Loss—0
Streaming Generation of Co-Speech Gestures via Accelerated Rolling Diffusion—0
Streaming Networks: Increase Noise Robustness and Filter Diversity via Hard-wired and Input-induced Sparsity—0
Strong, recent selective sweeps reshape genetic diversity in freshwater bivalve Megalonaias nervosa—0
Strong-Weak Integrated Semi-supervision for Unsupervised Single and Multi Target Domain Adaptation—0
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