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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
Overlooked Data in Typological Databases: What Grambank Teaches Us About Gaps in Grammars—0
Overview of the Shared Task on Hope Speech Detection for Equality, Diversity, and Inclusion—0
OW-VISCapTor: Abstractors for Open-World Video Instance Segmentation and Captioning—0
OxfordTVG-HIC: Can Machine Make Humorous Captions from Images?—0
P3: A Policy-Driven, Pace-Adaptive, and Diversity-Promoted Framework for data pruning in LLM Training—0
PAC-Bayesian Analysis for a two-step Hierarchical Multiview Learning Approach—0
PACER+: On-Demand Pedestrian Animation Controller in Driving Scenarios—0
Packed-Ensembles for Efficient Uncertainty Estimation—0
PainDiffusion: Can robot express pain?—0
Pairwise Instance Relation Augmentation for Long-tailed Multi-label Text Classification—0
Pal-GAN: Palette-conditioned Generative Adversarial Networks—0
PALMAR: Towards Adaptive Multi-inhabitant Activity Recognition in Point-Cloud Technology—0
Palm-GAN: Generating Realistic Palmprint Images Using Total-Variation Regularized GAN—0
PanLex: Building a Resource for Panlingual Lexical Translation—0
PanoMixSwap Panorama Mixing via Structural Swapping for Indoor Scene Understanding—0
Pan-tropical plant functional trait variation from space—0
ParaBank: Monolingual Bitext Generation and Sentential Paraphrasing via Lexically-constrained Neural Machine Translation—0
ParaFusion: A Large-Scale LLM-Driven English Paraphrase Dataset Infused with High-Quality Lexical and Syntactic Diversity—0
Paragraph-based complex networks: application to document classification and authenticity verification—0
Parallelizing Contextual Bandits—0
Parallel Optimal Transport GAN—0
Parameter Efficient Diverse Paraphrase Generation Using Sequence-Level Knowledge Distillation—0
Parameter-efficient Dysarthric Speech Recognition Using Adapter Fusion and Householder Transformation—0
Parameter estimation in FACS-seq enables high-throughput characterization of phenotypic heterogeneity—0
Parameterized Analysis of Multi-objective Evolutionary Algorithms and the Weighted Vertex Cover Problem—0
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