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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 2726–2750 of 9051 papers

TitleStatusHype
Anomaly Detection in Video Sequence with Appearance-Motion CorrespondenceCode0
Federated Voxel Scene Graph for Intracranial HemorrhageCode0
Bayesian Prediction of Future Street Scenes using Synthetic LikelihoodsCode0
Few-shot Image Generation with Diffusion ModelsCode0
FedCCRL: Federated Domain Generalization with Cross-Client Representation LearningCode0
Federated Neural Topic ModelsCode0
Bayesian Optimisation over Multiple Continuous and Categorical InputsCode0
Feature Space Particle Inference for Neural Network EnsemblesCode0
Long Story Short: a Summarize-then-Search Method for Long Video Question AnsweringCode0
Federated Stain Normalization for Computational PathologyCode0
DELINE8K: A Synthetic Data Pipeline for the Semantic Segmentation of Historical DocumentsCode0
Diversity-Enriched Option-CriticCode0
Low-Rank Factorization of Determinantal Point Processes for RecommendationCode0
DeLiGAN : Generative Adversarial Networks for Diverse and Limited DataCode0
ACD-DE: An adaptive cluster division Differential Evolution for mitigating population diversity deficiencyCode0
Feasible Recourse Plan via Diverse InterpolationCode0
Bayesian identification of bacterial strains from sequencing dataCode0
Federated Visual Classification with Real-World Data DistributionCode0
FASTdoop: a versatile and efficient library for the input of FASTA and FASTQ files for MapReduce Hadoop bioinformatics applicationsCode0
"Define Your Terms" : Enhancing Efficient Offensive Speech Classification with DefinitionCode0
MAD-EN: Microarchitectural Attack Detection through System-wide Energy ConsumptionCode0
DEff-GAN: Diverse Attribute Transfer for Few-Shot Image SynthesisCode0
MagnifierNet: Towards Semantic Adversary and Fusion for Person Re-identificationCode0
Fast and Functional Structured Data Generators Rooted in Out-of-Equilibrium PhysicsCode0
Farsighted Probabilistic Sampling: A General Strategy for Boosting Local Search MaxSAT SolversCode0
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