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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 6826–6850 of 9051 papers

TitleStatusHype
Langsmith: An Interactive Academic Text Revision System—0
Multichannel Generative Language Model: Learning All Possible Factorizations Within and Across Channels—0
A Clustering-Based Method for Automatic Educational Video Recommendation Using Deep Face-Features of Lecturers—0
Mark-Evaluate: Assessing Language Generation using Population Estimation Methods—0
Automatic Data Augmentation for 3D Medical Image SegmentationCode1
Parameter estimation in FACS-seq enables high-throughput characterization of phenotypic heterogeneity—0
Cognitive Learning-Aided Multi-Antenna Communications—0
Knowledge-enriched, Type-constrained and Grammar-guided Question Generation over Knowledge Bases—0
COMETA: A Corpus for Medical Entity Linking in the Social MediaCode1
Like hiking? You probably enjoy nature: Persona-grounded Dialog with Commonsense ExpansionsCode1
Reconfigurable Intelligent Surfaces and Machine Learning for Wireless Fingerprinting Localization—0
COD3S: Diverse Generation with Discrete Semantic SignaturesCode0
Discovery data topology with the closure structure. Theoretical and practical aspects—0
Learning Diverse Options via InfoMax Termination CriticCode0
Are "Undocumented Workers" the Same as "Illegal Aliens"? Disentangling Denotation and Connotation in Vector SpacesCode1
SupMMD: A Sentence Importance Model for Extractive Summarization using Maximum Mean DiscrepancyCode0
Site Diversity in Downlink Optical Satellite Networks Through Ground Station Selection—0
Deep Generative Modelling of Human Reach-and-Place Action—0
Participatory Research for Low-resourced Machine Translation: A Case Study in African LanguagesCode1
BalaGAN: Image Translation Between Imbalanced Domains via Cross-Modal TransferCode1
Diversity-Preserving K-Armed Bandits, Revisited—0
Long-tailed Recognition by Routing Diverse Distribution-Aware ExpertsCode1
Regularizing Dialogue Generation by Imitating Implicit Scenarios—0
GenAug: Data Augmentation for Finetuning Text GeneratorsCode1
MitoEM Dataset: Large-scale 3D Mitochondria Instance Segmentation from EM ImagesCode1
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