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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 5201–5225 of 9051 papers

TitleStatusHype
Lifelong Learning with Weighted Majority Votes—0
Light and 3D: a methodological exploration of digitisation techniques adapted to a selection of objects from the Musée d'Archéologie Nationale—0
When and How Does CLIP Enable Domain and Compositional Generalization?—0
Towards NeuroAI: Introducing Neuronal Diversity into Artificial Neural Networks—0
Lightweight Monocular Depth with a Novel Neural Architecture Search Method—0
A Vision for Operationalising Diversity and Inclusion in AI—0
"Like a Nesting Doll": Analyzing Recursion Analogies Generated by CS Students using Large Language Models—0
AvgOut: A Simple Output-Probability Measure to Eliminate Dull Responses—0
A Versatile Framework for Continual Test-Time Domain Adaptation: Balancing Discriminability and Generalizability—0
LIMBA: An Open-Source Framework for the Preservation and Valorization of Low-Resource Languages using Generative Models—0
Limbic: Author-Based Sentiment Aspect Modeling Regularized with Word Embeddings and Discourse Relations—0
A Critical Reexamination of Intra-List Distance and Dispersion—0
Speed and fate diversity tradeoff in nematode's early embryogenesis—0
Towards Open Domain Text-Driven Synthesis of Multi-Person Motions—0
Linear Precoding Design for OTFS Systems in Time/Frequency Selective Fading Channels—0
Linear Relaxations for Finding Diverse Elements in Metric Spaces—0
Line of Sight: On Linear Representations in VLLMs—0
Line Segmentation from Unconstrained Handwritten Text Images using Adaptive Approach—0
LINGO : Visually Debiasing Natural Language Instructions to Support Task Diversity—0
Lingua Manga: A Generic Large Language Model Centric System for Data Curation—0
Linguistic Complexity Loss in Text-Based Therapy—0
Linguistic Diversity Scores for NLP Data Sets—0
Linguistic features for Hindi light verb construction identification—0
Linguistic features for sentence difficulty prediction in ABSA—0
Linguistic Fingerprint in Transformer Models: How Language Variation Influences Parameter Selection in Irony Detection—0
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