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Magnitude Pruning of Large Pretrained Transformer Models with a Mixture Gaussian Prior

Journal of Data Science(2024)10.6339/24-jds1156Source: DataRank Database

Magnitude Pruning of Large Pretrained Transformer Models with a Mixture Gaussian Prior is a research paper published in Journal of Data Science (2024). On theSindex it has a DataRank of 0. It has been cited 1 time.

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0DataRank · unranked

Scored on demand from live citation data

Open Access1 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (5 grants)Impact (FWCI 0.16)OA: goldTopics (29)IDs (PubMed, PMC, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (3)

Yan Sun ORCID,Faming Liang ORCID,Mingxuan Zhang ORCID

Live enrichment

PubMed:41267673 PMC:PMC12629628 OpenAlex:https://openalex.org/W4404717027

NIGMS NIH HHS

Grant: R01 GM126089

NIGMS NIH HHS

Grant: R01 GM152717

National Science Foundation

Grant: 2015498

Scalable Algorithms for Bayesian On-Line Learning with Large-Scale Dynamic Data

National Institutes of Health

Grant: 1R01GM152717-01

Stochastic Deep Learning for Electronic Health Records: Localizing Learning with Massive and Fragmented Data

National Science Foundation

Grant: 2210819

A New Stochastic Neural Network: Statistical Perspectives and Applications

FWCI

0.16

Citation Percentile

0.5%

Citation Trend

2026

goldLicense: cc-by

journalhttps://jds-online.org/journal/JDS/article/1394/file/pdf

publisherhttps://jds-online.org/journal/JDS/article/1394/file/pdf

publisherhttps://jds-online.org/journal/JDS/article/1394/text

journalhttp://dx.doi.org/10.6339/24-jds1156

repositoryhttps://pubmed.ncbi.nlm.nih.gov/41267673

Fields of Study

Image and Signal Denoising MethodsSeismic Imaging and Inversion TechniquesModel Reduction and Neural Networks0202 electrical engineering, electronic engineering, information engineering02 engineering and technology

Keywords

Magnitude (astronomy)TransformerPruningComputer scienceGaussianPattern recognition (psychology)Artificial intelligenceStatisticsMathematicsEngineeringPhysicsElectrical engineeringHorticultureBiologyConsistencySparsityLarge Language ModelStochastic TransformerFOS: Computer and information sciencesComputer Science - Machine LearningStatistics - Machine LearningMachine Learning (stat.ML)ArticleMachine Learning (cs.LG)

Sustainable Development Goals

SDG 0: Quality Education