Concepedia

Mehdi Cherti

MC

9

Publications

1.8K

Citations

9

H-Index

2017

Active since

Affiliations

University of California, Berkeley(Current)

Berkeley College

University of Washington

Université Paris-Saclay

Mehdi Cherti is an author at University of California, Berkeley specializing in data science, computer science, and deep learning.

Top concepts

EngineeringData ScienceDeep LearningComputer ScienceMachine LearningComputer VisionImage AnalysisMachine VisionFew-shot LearningMachine Translation

Publications per year

2017–2024

9

Publications

9

LAION-5B: An open large-scale dataset for training next generation image-text models

Christoph Schuhmann, Romain Beaumont, Richard Vencu et al. · arXiv (Cornell University) · 2022 · 1K citations · Full text

Few-shot Learning, Structured Prediction, Engineering +19

Reproducible Scaling Laws for Contrastive Language-Image Learning

Mehdi Cherti, Romain Beaumont, Ross Wightman et al. · 2023 · 430 citations

Engineering, Machine Learning, Language Learning +19

scikit-optimize/scikit-optimize: v0.5.2

T. Head, MechCoder, Gilles Louppe et al. · Zenodo (CERN European Organization for Nuclear Research) · 2018 · 124 citations · Full text

DataComp: In search of the next generation of multimodal datasets

Samir Yitzhak Gadre, Gabriel Ilharco, Alex Chengyu Fang et al. · arXiv (Cornell University) · 2023 · 73 citations · Full text

Engineering, Machine Learning, Multimodal Learning +17

Reproducible scaling laws for contrastive language-image learning

Mehdi Cherti, Romain Beaumont, Ross Wightman et al. · arXiv (Cornell University) · 2022 · 29 citations · Full text

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