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  1. 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.

  2. 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 to...

  3. This "Cited by" count includes citations to the following articles in Scholar. The ones marked * may be different from the article in the profile.

  4. Geoffrey Everest Hinton CC FRS FRSC (born 6 December 1947) is a British-Canadian computer scientist and cognitive psychologist, most noted for his work on artificial neural networks.

  5. 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.

  6. View the University of Toronto profile of Geoffrey E Hinton. Including their scholarly and creative works, grants and Leadership.

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  8. Despite its widespread use, label smoothing is still poorly understood. Here we show empirically that in addition to improving generalization, label smoothing improves model calibration which can significantly improve beam search.

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