Self-supervised Health Representation Decomposition based on contrast learning

AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at Scale

DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) · 2018 · 45.7K citations · Full text

Computing, Computer Science, Computational Linguistics +12

Momentum Contrast for Unsupervised Visual Representation Learning

Kaiming He, Haoqi Fan, Yuxin Wu et al. · 2020 · 12K citations

Computing, Computer Science, Computer Vision +12

Bootstrap your own latent: A new approach to self-supervised Learning

Jean-Bastien Grill, Florian Strub, Florent Altché et al. · arXiv (Cornell University) · 2020 · 3.4K citations · Full text

Computing, Computer Science, Artificial Intelligence +16

On the Opportunities and Risks of Foundation Models

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Computing, Computer Science, Data Science +17

Prognostics and health management design for rotary machinery systems—Reviews, methodology and applications

Jay Lee, Fangji Wu, Wenyu Zhao et al. · Mechanical Systems and Signal Processing · 2013 · 1.5K citations

Engineering, Operations Management, Maintenance Engineering +11