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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 5601–5625 of 9051 papers

TitleStatusHype
Text-mining and ontologies: new approaches to knowledge discovery of microbial diversity—0
Text-Only Training for Visual Storytelling—0
Text Semantics to Flexible Design: A Residential Layout Generation Method Based on Stable Diffusion Model—0
Text-to-3D Generation with Bidirectional Diffusion using both 2D and 3D priors—0
Text to Image Generation: Leaving no Language Behind—0
Text-to-Image Generation via Implicit Visual Guidance and Hypernetwork—0
Text-to-Image Synthesis: A Decade Survey—0
Text-to-Sticker: Style Tailoring Latent Diffusion Models for Human Expression—0
Se^2: Sequential Example Selection for In-Context Learning—0
Textual Steering Vectors Can Improve Visual Understanding in Multimodal Large Language Models—0
Texture Characterization of Histopathologic Images Using Ecological Diversity Measures and Discrete Wavelet Transform—0
Texturize a GAN Using a Single Image—0
TGermaCorp -- A (Digital) Humanities Resource for (Computational) Linguistics—0
The 1st Workshop on Human-Centered Recommender Systems—0
The 2020s Political Economy of Machine Translation—0
The 2nd Place Solution from the 3D Semantic Segmentation Track in the 2024 Waymo Open Dataset Challenge—0
The Achilles Heel of AI: Fundamentals of Risk-Aware Training Data for High-Consequence Models—0
The ACQDIV Database: Min(d)ing the Ambient Language—0
The ALPIN Sentiment Dictionary: Austrian Language Polarity in Newspapers—0
The Amazing World of Neural Language Generation—0
The Application of Large Language Models in Recommendation Systems—0
Theater Aid System for the Visually Impaired Through Transfer Learning of Spatio-Temporal Graph Convolution Networks—0
Availability, outage, and capacity of spatially correlated, Australasian free-space optical networks—0
The Beauty Everywhere: How Aesthetic Criteria Contribute to the Development of AI—0
The behavioural aspect of green technology investments: a general positive model in the context of heterogeneous agents—0
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