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Geoffrey Hinton. Emeritus Prof. Computer Science, University of Toronto. Verified email at cs.toronto.edu - Homepage. machine learning psychology artificial intelligence cognitive science computer science. Articles 1–20.
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Geoffrey Hinton designs machine learning algorithms. His aim is to discover a learning procedure that is efficient at finding complex structure in large, high-dimensional datasets and...
From 2013 to 2023, he divided his time working for Google (Google Brain) and the University of Toronto, before publicly announcing his departure from Google in May 2023, citing concerns about the risks of artificial intelligence (AI) technology.
His research group in Toronto made major breakthroughs in deep learning that revolutionized speech recognition and object classification. Geoffrey Hinton is a fellow of the UK Royal Society and a foreign member of the US National Academy of Engineering and the American Academy of Arts and Sciences.
Geoffrey Everest Hinton. International Conference on Machine Learning (2020) Download Google Scholar. Copy Bibtex. Abstract. This paper presents SimCLR: a simple framework for contrastive learning of visual representations.
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Brian Sallans, Geoffrey Hinton Using Free Energies to Represent Q-values in a Multiagent Reinforcement learning Task Advances in Neural Information Processing Systems 13, MIT Press, Cambridge, MA [ abstract ] [ ps.gz ] [ pdf ]
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