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Geoffrey Hinton - Google Scholar Profile

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Geoffrey Hinton's Google Scholar profile documents his foundational contributions to deep learning, neural networks, and AI. Hinton is a key figure in AI safety discourse, having publicly warned about existential risks from advanced AI after leaving Google in 2023.

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Importance: 62/100homepagereference

Summary

This is the Google Scholar profile of Geoffrey Hinton, Emeritus Professor at the University of Toronto and Turing Award winner. It catalogs his extensive publication record including seminal works on deep learning, backpropagation, dropout, and convolutional neural networks. Hinton has become an important voice in AI safety, warning about risks from increasingly capable AI systems.

Key Points

  • Hinton's work includes foundational papers like AlexNet (191k+ citations), the 'Deep Learning' Nature paper (108k+ citations), and t-SNE (65k+ citations).
  • His h-index of 189 reflects extraordinary influence on modern AI and machine learning research.
  • Hinton left Google in 2023 partly to speak freely about AI existential risks, making his research lineage directly relevant to AI safety.
  • His backpropagation and neural network research underpins virtually all modern AI capabilities, making understanding his work essential for AI safety researchers.
  • Co-authors include major figures in ML such as LeCun, Bengio, Krizhevsky, and Sutskever, representing the core deep learning research community.

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Cited byView all

AllSince 2021

Citations1012246551878

h-index189129

i10-index521376

0

117000

58500

29250

87750

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Co-authors

Terrence SejnowskiFrancis Crick Professor, Salk Institute, Distingished Professor, UC San DiegoVerified email at salk.edu

Vinod NairResearch Scientist, DeepMindVerified email at google.com

George E. DahlGoogle Inc.Verified email at google.com

Abdelrahman MohamedResearch scientist, Facebook AI ResearchVerified email at fb.com

Radford NealU Toronto *** GOOGLE SCHOLAR CAN GIVE WRONG PUBLICATION DATE/REFERENCE - LOOK AT ACTUAL PAPER/BOOK!Verified email at utstat.toronto.edu

Sidney FelsProfessor of Electrical and Computer Engineering, University of British ColumbiaVerified email at ece.ubc.ca

David C. PlautProfessor of Psychology, Carnegie Mellon UniversityVerified email at cmu.edu

Chris WilliamsProfessor of Machine Learning, University of EdinburghVerified email at inf.ed.ac.uk

Demetri TerzopoulosDistinguished Professor & Chancellor's Professor of Computer Science, UCLAVerified email at cs.ucla.edu

Robert TibshiraniProfessor of Biomedical Data Sciences, and of Statistics, Stanford UniversityVerified email at stanford.edu

Steven L. SmallUniversity of Texas at DallasVerified email at utdallas.edu

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Geoffrey Hinton

Emeritus Prof. Computer Science, 

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