Geoffrey E. Hinton
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Geoffrey E. Hinton is a person.
- See: Backpropagation Algorithm, Deep Belief Network, Convolutional Neural Network, Autoencoder Network.
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
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 In: Unpublished manuscript, 40.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)
- (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.