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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 7301–7325 of 9051 papers

TitleStatusHype
School closures and educational path: how the Covid-19 pandemic affected transitions to college—0
scHyena: Foundation Model for Full-Length Single-Cell RNA-Seq Analysis in Brain—0
SciDMT: A Large-Scale Corpus for Detecting Scientific Mentions—0
A multi-instance learning algorithm based on a stacked ensemble of lazy learners—0
SCME: A Self-Contrastive Method for Data-free and Query-Limited Model Extraction Attack—0
SCONE-GAN: Semantic Contrastive learning-based Generative Adversarial Network for an end-to-end image translation—0
Using Natural Language Inference to Improve Persona Extraction from Dialogue in a New Domain—0
MOSAIC: Multimodal Multistakeholder-aware Visual Art Recommendation—0
Score-based Denoising Diffusion with Non-Isotropic Gaussian Noise Models—0
A Multi-criteria Approach for Fast and Outlier-aware Representative Selection from Manifolds—0
ScoreMix: A Scalable Augmentation Strategy for Training GANs with Limited Data—0
A Multi-Agent Probabilistic Inference Framework Inspired by Kairanban-Style CoT System with IdoBata Conversation for Debiasing—0
SCO-VIST: Social Interaction Commonsense Knowledge-based Visual Storytelling—0
Scrapping The Web For Early Wildfire Detection: A New Annotated Dataset of Images and Videos of Smoke Plumes In-the-wild—0
Channel Type Recognition in Wireless Communications: A Deep Learning Approach—0
SDFD: Building a Versatile Synthetic Face Image Dataset with Diverse Attributes—0
Using novelty-biased GA to sample diversity in graphs satisfying constraints—0
SDTP: Semantic-aware Decoupled Transformer Pyramid for Dense Image Prediction—0
A mullti- or many- objective evolutionary algorithm with global loop update—0
Amplifying Limitations, Harms and Risks of Large Language Models—0
SEAL: Semantic Attention Learning for Long Video Representation—0
Search For Deep Graph Neural Networks—0
Searching for Designs in-between—0
Search results diversification in competitive search—0
Seasonal Station-Keeping of Short Duration High Altitude Balloons using Deep Reinforcement Learning—0
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