Geoffrey E. Hinton is affiliated with the University of Toronto in Canada and specializes in Computer Science with a focus on Artificial Intelligence. Their research spans multiple subfields including Computer Vision and Pattern Recognition, Computational Mechanics, Radiology, Nuclear Medicine and Imaging, and Health Informatics.
The main topics covered in their work include Domain Adaptation and Few-Shot Learning, Advanced Neural Network Applications, Multimodal Machine Learning Applications, Generative Adversarial Networks and Image Synthesis, Neural Networks and Applications, Topic Modeling, and Advanced Image and Video Retrieval Techniques.
Recent papers authored or co-authored by Geoffrey E. Hinton include:
Frequent co-authors include:
Geoffrey Hinton has published extensively in venues such as arXiv (Cornell University), Zenodo (CERN European Organization for Nuclear Research), SuperIntelligence - Robotics - Safety & Alignment, Nature reviews. Neuroscience, and Communications of the ACM.
In addition to journal articles and conference papers, they have contributed to book literature, including a publication titled Machine learning in neuroscience in 2023 under Frontiers Media.
Recognition for their contributions includes awards such as the A. M. Turing Award in 2018 for breakthroughs that have influenced deep neural networks as components of computing, membership in the National Academy of Engineering since 2016, the IEEE/RSE Wolfson James Clerk Maxwell Medal in 2016 for contributions to machine learning, and the IEEE Frank Rosenblatt Award in 2014.
Further honors include fellowships with the American Academy of Arts and Sciences since 2003, the Royal Society of the United Kingdom since 1998, the Royal Society of Canada since 1996, and the Association for the Advancement of Artificial Intelligence since 1990.
Alex Krizhevsky;Ilya Sutskever;Geoffrey E. Hinton
Yann LeCun;Yann LeCun;Yoshua Bengio;Geoffrey Hinton;Geoffrey Hinton
Nitish Srivastava;Geoffrey Hinton;Alex Krizhevsky;Ilya Sutskever
David E. Rumelhart;Geoffrey E. Hinton;Ronald J. Williams
Laurens van der Maaten;Geoffrey Hinton
D. E. Rumelhart;G. E. Hinton;R. J. Williams
G. E. Hinton;R. R. Salakhutdinov
Geoffrey E. Hinton;Simon Osindero;Yee-Whye Teh
Vinod Nair;Geoffrey E. Hinton
Geoffrey E. Hinton;Oriol Vinyals;Jeffrey Dean
G. Hinton;Li Deng;Dong Yu;G. E. Dahl
Alex Graves;Abdel-rahman Mohamed;Geoffrey Hinton
Geoffrey E. Hinton;Nitish Srivastava;Alex Krizhevsky;Ilya Sutskever
Ting Chen;Simon Kornblith;Mohammad Norouzi;Geoffrey Hinton
Geoffrey E. Hinton
Robert A. Jacobs;Michael I. Jordan;Steven J. Nowlan;Geoffrey E. Hinton
Geoffrey Hinton;Radford M. Neal
David H. Ackley;Geoffrey E. Hinton;Terrence J. Sejnowski
Ilya Sutskever;James Martens;George Dahl;Geoffrey Hinton
Sara Sabour;Nicholas Frosst;Geoffrey E. Hinton
Jimmy Lei Ba;Jamie Ryan Kiros;Geoffrey E. Hinton
G. E. Hinton;R. R. Salakhutdinov
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Institute for Computer Science, Artificial Intelligence and Technology (INSAIT)
Publications: 149
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