Geoffrey E. Hinton

Geoffrey E. Hinton is a person.

• See: Backpropagation Algorithm, Deep Belief Network, Convolutional Neural Network, Autoencoder Network.

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References

• Professional Homepage: http://www.cs.toronto.edu/~hinton
• DBLP Page: http://www.informatik.uni-trier.de/~ley/db/indices/a-tree/h/Hinton:Geoffrey_E=.html
• Google Scholar Author Page: http://scholar.google.com/citations?user=JicYPdAAAAAJ

2024

• (Bengio, Hinton et al., 2024) ⇒ Yoshua Bengio, Geoffrey Hinton, Andrew Yao, Dawn Song, Pieter Abbeel, Trevor Darrell, Yuval Noah Harari, Ya-Qin Zhang, Lan Xue, Shai Shalev-Shwartz, Gillian Hadfield, Jeff Clune, Tegan Maharaj, Frank Hutter, Atılım Güneş Baydin, Sheila McIlraith, Qiqi Gao, Ashwin Acharya, David Krueger, Anca Dragan, Philip Torr, Stuart Russell, Daniel Kahneman, Jan Brauner, and Sören Mindermann. (2024). “Managing Extreme AI Risks Amid Rapid Progress.” In: Science. 10.1126/science.adn0117 doi: 10.1126/science.adn0117

2015

• (Vinyals et al., 2015) ⇒ Oriol Vinyals, Lukasz Kaiser, Terry Koo, Slav Petrov, Ilya Sutskever, and Geoffrey Hinton. (2015). “Grammar As a Foreign Language.” In: Proceedings of the 28th International Conference on Neural Information Processing Systems - Volume 2.

2015

• (Hinton, Vinyals and Dean, 2015) ⇒ Geoffrey E. Hinton, Oriol Vinyals, and Jeff Dean. (2015). “Distilling the knowledge in a neural network." In: NIPS Deep Learning and Representation Learning Workshop (2015)

2014

• (Srivastava et al., 2014) ⇒ Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov. (2014). “Dropout: A Simple Way to Prevent Neural Networks from Overfitting.” In: The Journal of Machine Learning Research, 15(1).

2013

• (Graves et al., 2013) ⇒ Alex Graves, Abdel-Rahman Mohamed, and Geoffrey Hinton. (2013). “Speech Recognition with Deep Recurrent Neural Networks.” In: The Proceedings of the 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, (ICASSP-2013).

2012

• (Hinton et al., 2012) ⇒ Geoffrey Hinton, Li Deng, Dong Yu, George E. Dahl, Abdel-rahman Mohamed, Navdeep Jaitly, Andrew Senior, Vincent Vanhoucke, Patrick Nguyen, Tara N. Sainath, and Brian Kingsbury. (2012). “Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups.” In: IEEE Signal Processing Magazine, 29(6).
• (Krizhevsky et al., 2012) ⇒ Alex Krizhevsky, Ilya Sutskever, and Geoffrey E. Hinton. “Imagenet Classification with Deep Convolutional Neural Networks.” In: Advances in Neural Information Processing Systems (NIPS 2012).
• (Hinton et al., 2012) ⇒ Geoffrey E. Hinton, Nitish Srivastava, Alex Krizhevsky, Ilya Sutskever, and Ruslan R. Salakhutdinov. (2012). “Improving Neural Networks by Preventing Co-adaptation of Feature Detectors.” arXiv preprint arXiv:1207.0580

2010

• (Krizhevsky & Hinton, 2010) ⇒ Alex Krizhevsky, and Geoffrey E. Hinton. (2010). “Convolutional Deep Belief Networks on Cifar-10.” In: Unpublished manuscript, 40.

2009

• (Mnih & Hinton, 2009) ⇒ Andriy Mnih, and Geoffrey E. Hinton. (2009). “A Scalable Hierarchical Distributed Language Model.” In: Advances in Neural Information Processing Systems, (NIPS-2009).

2007

• (Hinton, 2007) ⇒ Geoffrey E. Hinton. (2007). “Learning Multiple Layers of Representation.” In: Trends in cognitive sciences, 11(10).
• (Mnih & Hinton, 2007) ⇒ Andriy Mnih, and Geoffrey Hinton. (2007). “Three New Graphical Models for Statistical Language Modelling.” In: Proceedings of the 24th International Conference on Machine learning. ISBN:978-1-59593-793-3 doi:10.1145/1273496.1273577
• (Salakhutdinov et al., 2007) ⇒ Ruslan Salakhutdinov, Andriy Mnih, and Geoffrey Hinton. (2007). “Restricted Boltzmann Machines for Collaborative Filtering.” In: Proceedings of the 24th International Conference on Machine learning, pp. 791-798 . ACM,

2006

• (Hinton & Salakhutdinov, 2006) ⇒ Geoffrey E. Hinton, and Ruslan R. Salakhutdinov. (2006). “Reducing the Dimensionality of Data with Neural Networks.” In: Science, 313(5786). doi:10.1126/science.1127647
• (Hinton et al., 2006) ⇒ Geoffrey E. Hinton, Simon Osindero, and Yee-Whye Teh. (2006). “A Fast Learning Algorithm for Deep Belief Nets.” In: Neural Computation Journal, 18(7). doi:10.1162/neco.2006.18.7.1527

2002

• (Welling & Hinton, 2002) ⇒ Max Welling, and Geoffrey E. Hinton. (2002). “A New Learning Algorithm for Mean Field Boltzmann Machines.” In: Proceedings of the International Conference on Artificial Neural Networks.

1995

• (Dayan et al., 1995) ⇒ P. Dayan, Geoffrey E. Hinton, R. M. Neal, and R. S. Zemel. (1995). “The Helmholtz Machine.” In: Neural Computation, 7(5).

1987

• (Rumelhart et al., 1987) ⇒ David E. Rumelhart, Geoffrey E. Hinton, and Ronald J. Williams. (1987). “Learning internal representations by error propagation.” In: James L. McClelland & David E. Rumelhart (Eds.), Parallel Distributed Processing, MIT Press.

1986

• (Rumlhart et al., 1986) ⇒ David E. Rumelhart, Geoffrey E. Hinton, and Ronald J. Williams. (1986). “Learning Internal Representations by Error Propagation.” In: (McClelland & Rumelhart, 1986)
• (Hinton et al., 1986) ⇒ Geoffrey E. Hinton, J. L. McClelland, and D. E. Rumelhart. (1986). “Distributed Representations.” In: (McClelland & Rumelhart, 1986)
  • also as (Hinton, 1984).
  • http://repository.cmu.edu/cgi/viewcontent.cgi?article=2841&context=compsci
  • http://www.cs.toronto.edu/~hinton/absps/pdp3.pdf
• (Hinton, 1986) ⇒ Geoffrey E. Hinton. (1986). “Learning Distributed Representations of Concepts.” In: Proceedings of the eighth annual conference of the cognitive science society.

1985

• (Ackley et al., 1985) ⇒ David H. Ackley, Geoffrey E. Hinton, and Terrence J. Sejnowski. (1985). “A Learning Algorithm for Boltzmann Machines". In: Cognitive Science, 9(1). doi:10.1207/s15516709cog0901_7.

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