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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 4276–4300 of 9051 papers

TitleStatusHype
Unsupervised Estimation of Ensemble Accuracy—0
Text-to-Sticker: Style Tailoring Latent Diffusion Models for Human Expression—0
Hierarchical Pruning of Deep Ensembles with Focal DiversityCode0
Optimal navigability of weighted human brain connectomes in physical space—0
GenCodeSearchNet: A Benchmark Test Suite for Evaluating Generalization in Programming Language UnderstandingCode0
Program-Aided Reasoners (better) Know What They KnowCode0
Characterizing Tradeoffs in Language Model Decoding with Informational Interpretations—0
The Curious Decline of Linguistic Diversity: Training Language Models on Synthetic TextCode0
JWSign: A Highly Multilingual Corpus of Bible Translations for more Diversity in Sign Language ProcessingCode0
How Far Can We Extract Diverse Perspectives from Large Language Models?Code0
Attribute Diversity Determines the Systematicity Gap in VQACode0
UNcommonsense Reasoning: Abductive Reasoning about Uncommon Situations—0
ARTEMIS: Using GANs with Multiple Discriminators to Generate Art—0
Peer is Your Pillar: A Data-unbalanced Conditional GANs for Few-shot Image Generation—0
AART: AI-Assisted Red-Teaming with Diverse Data Generation for New LLM-powered Applications—0
Reimagining Speech: A Scoping Review of Deep Learning-Powered Voice Conversion—0
Deep Learning-Based Object Detection in Maritime Unmanned Aerial Vehicle Imagery: Review and Experimental ComparisonsCode0
Exploring Values in Museum Artifacts in the SPICE project: a Preliminary Study—0
Semantically Grounded QFormer for Efficient Vision Language Understanding—0
ALBA: Adaptive Language-based Assessments for Mental Health—0
Relation Extraction in underexplored biomedical domains: A diversity-optimised sampling and synthetic data generation approachCode0
Genetic Algorithm enhanced by Deep Reinforcement Learning in parent selection mechanism and mutation : Minimizing makespan in permutation flow shop scheduling problems—0
Attributes Grouping and Mining Hashing for Fine-Grained Image Retrieval—0
Transferability Bound Theory: Exploring Relationship between Adversarial Transferability and FlatnessCode0
Learning-Based Biharmonic Augmentation for Point Cloud Classification—0
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