Source: https://www.cs.toronto.edu/~hinton/papers.html
Timestamp: 2019-04-26 11:49:18+00:00

Document:
2018 Hinton, G. E., Sabour, S. and Frosst, N.
2018 Kiros, J. R., Chan, W. and Hinton, G. E.
2018 Anil, R., Pereyra, G., Passos, A., Ormandi, R., Dahl, G. and Hinton, G. E.
2018 Guan, M. Y., Gulshan, V., Dai, A. M. and Hinton, G. E.
2017 Sabour, S., Frosst, N. and Hinton, G. E.
2017 Shazeer, N., Mirhoseini, A., Maziarz, K., Davis, A., Le, Q., Hinton, G., & Dean, J.
2017 Frosst, N. and Hinton, G. E.
2017 Pereyra, G., Tucker, T., Chorowski, J., Kaiser, L. and Hinton, G. E.
2016 Ba, J. L., Hinton, G. E., Mnih, V., Leibo, J. Z. and Ionescu, C.
2016 Ba, J. L., Kiros, J. R. and Hinton, G. E.
2016 Ali Eslami, S. M., Nicolas Heess, N., Theophane Weber, T., Tassa, Y., Szepesvari, D., Kavukcuoglu, K. and Hinton, G. E.
2015 LeCun, Y., Bengio, Y. and Hinton, G. E.
2015 Hinton, G. E., Vinyals, O., and Dean, J.
Distilling the knowledge in a neural network.
2014 Srivastava, N., Hinton, G., Krizhevsky, A., Sutskever, I. and Salakhutdinov, R.
2014 Vinyals, O., Kaiser, L., Koo, T., Petrov, S., Sutskever, I., & Hinton, G. E.
Where do features come from?.
2014 Sarikaya, R., Hinton, G. E. and Deoras, A.
2014 Jaitly, N., Vanhoucke, V. and Hinton, G. E.
2013 Srivastava, N., Salakhutdinov, R. R. and Hinton, G. E.
2013 Jaitly, N., and Hinton, G. E.
Vocal Tract Length Perturbation (VTLP) improves speech recognition.
2013 Graves, A., Mohamed, A. and Hinton, G. E.
2013 Dahl, G. E., Sainath, T. N. and Hinton, G. E.
2013 Deng, L., Hinton, G. E. and Kingsbury, B.
2013 Ranzato, M., Mnih, V., Susskind, J. and Hinton, G. E.
2013 Sutskever, I., Martens, J., Dahl, G. and Hinton, G. E.
2013 Tang, Y., Salakhutdinov, R. R. and Hinton, G. E.
2012 Krizhevsky, A., Sutskever, I. and Hinton, G. E.
2012 Salakhutdinov, R. R. and Hinton, G. E.
2012 Hinton, G. E., Srivastava, N., Krizhevsky, A., Sutskever, I. and Salakhutdinov, R. R.
2012 Tang, Y., Salakhutdinov, R. R. and Hinton, G. E.
2012 Mnih, V. and Hinton, G. E.
2012 Mohamed,A., Hinton, G. E. and Penn, G.
2012 van der Maaten, L., and Hinton, G. E.
2012 Mohamed, A., Dahl, G. E. and Hinton, G. E.
2011 Suskever, I., Martens, J. and Hinton, G. E.
2011 Jaitly, N. and Hinton, G.
2011 Mnih, V., Larochelle, H. and Hinton, G.
2011 Ranzato, M., Susskind, J., Mnih, V. and Hinton, G.
2011 Susskind,J., Memisevic, R., Hinton, G. and Pollefeys, M.
2011 Hinton, G. E., Krizhevsky, A. and Wang, S.
2011 Krizhevsky, A. and Hinton, G.E.
2011 Jaitly, N. and Hinton, G. E.
Learning a better Representation of Speech Sound Waves using Restricted Boltzmann Machines.
2011 Mohamed,A., Sainath, T., Dahl, G. E., Ramabhadran, B., Hinton, G. and Picheny, M.
2011 Sarikaya, R. and Hinton, G.
2011 Hinton, G. E. and Salakhutdinov, R.
Discovering Binary Codes for Fast Document Retrieval by Learning Deep Generative Models.
2010 Memisevic, R., Zach, C., Pollefeys, M. and Hinton, G. E.
2010 Ranzato, M., Mnih, V. and Hinton, G. E.
2010 Dahl, G. E., Ranzato, M., Mohamed, A. and Hinton, G. E.
2010 Larochelle, H. and Hinton, G. E.
2010 Deng, L., Seltzer, M., Yu, D., Acero, A., Mohamed A. and Hinton, G.
2010 Memisevic, R. and Hinton, G. E.
2010 Nair, V. and Hinton, G. E.
Learning to represent visual input.
2010 Mnih, V. and Hinton, G. E.
2010 Sutskever, I. and Hinton, G. E.
Temporal Kernel Recurrent Neural Networks.
2010 Ranzato, M. and Hinton, G. E.
Modeling pixel means and covariances using factored third-order Boltzmann machines.
2010 Taylor, G., Sigal, L., Fleet, D. and Hinton, G. E.
Dynamic binary latent variable models for 3D human pose tracking.
2010 Ranzato, M., Krizhevsky, A. and Hinton, G. E.
2010 Mohamed, A. and Hinton, G. E.
2009 Mohamed, A. R., Dahl, G. E. and Hinton, G. E.
Deep belief networks for phone recognition.
2009 Salakhutdinov, R. and Hinton, G. E.
2009 Nair, V. and Hinton, G. E.
3-D Object recognition with deep belief nets.
2009 Palatucci, M, Pomerleau, D. A., Hinton, G. E. and Mitchell, T.
2009 Heess, N., Williams, C. K. I. and Hinton, G. E.
2009 Taylor, G. W. and Hinton, G. E.
2009 Tieleman, T. and Hinton, G. E.
2009 Zeiler, M.D., Taylor, G.W., Troje, N.F. and Hinton, G. E.
Modeling pigeon behaviour using a Conditional Restricted Boltzmann Machine.
2009 Mnih, A. and Hinton, G.~E.
2009 Nair, V. and Hinton, G.~E.
2009 Sutskever, I. and Hinton, G.~E.
Using matrices to model symbolic relationships.
2009 Sutskever, I., Hinton, G.~E. and Taylor, G. W.
2009 Schmah, T., Hinton, G.~E., Zemel, R., Small, S. and Strother, S.
Generative versus Discriminative Training of RBM's for classification of fMRI images.
2008 van der Maaten, L. J. P. and Hinton, G. E.
Journal of Machine Learning Research, Vol 9, (Nov) pp 2579-2605.
2008 Susskind, J.M., Hinton, G.~E., Movellan, J.R., and Anderson, A.K.
Generating Facial Expressions with Deep Belief Nets.
In V. Kordic (ed.) Affective Computing, Emotion Modelling, Synthesis and Recognition. ARS Publishers.
2008 Nair, V., Susskind, J., and Hinton, G.E.
ICANN-08: International conference on Artificial Neural Networks, Prague.
2008 Yuecheng, Z., Mnih, A., and Hinton, G.~E.
16th European Symposium on Artificial Neural Networks, pages 493--498.
2008 Sutskever, I. and Hinton, G. E.
Deep Narrow Sigmoid Belief Networks are Universal Approximators.
2008 Osindero, S. and Hinton, G.~E.
2008 Salakhutdinov, R. and Hinton, G.~E.
Learning multiple layers of representation.
Trends in Cognitive Sciences, Vol. 11, pp 428-434.
To recognize shapes, first learn to generate images.
2007 Salakhutdinov R. R, Mnih, A. and Hinton, G. E.
2007 Mnih, A. and Hinton, G. E.
2007 Salakhutdinov R. R, and Hinton, G. E.
2007 Memisevic, R. and Hinton, G. E.
Learning a non-linear embedding by preserving class neighbourhood structure.
2007 Sutskever, I. and Hinton, G. E.
2007 Cook, J. A., Sutskever, I., Mnih, A. and Hinton , G. E.
2007 Taylor, G. W., Hinton, G. E. and Roweis, S.
Science, Vol. 313. no. 5786, pp. 504 - 507, 28 July 2006.
2006 Hinton, G. E., Osindero, S., Welling, M. and Teh, Y.
Unsupervised Discovery of Non-linear Structure using Contrastive Backpropagation.
2006 Hinton, G. E., Osindero, S. and Teh, Y.
2006 Hinton, G. E. and Nair, V.
2006 Osindero, S., Welling, M. and Hinton, G. E.
2005 Hinton, G. E., Osindero, S. and Bao, K.
What kind of a graphical model is the brain?
International Joint Conference on Artificial Intelligence 2005, Edinburgh.
2005 Mnih, A. and Hinton. G. E.
Learning Unreliable Constraints using Contrastive Divergence.
2005 Memisevic, R. and Hinton, G. E.
2005 Carreira-Perpignan, M. A. and Hinton. G. E.
2005 Goldberger, J., Roweis, S., Salakhutdinov, R and Hinton, G. E.
2005 Welling, M,, Rosen-Zvi, M. and Hinton, G. E.
2004 Sallans, B and Hinton, G. E.
[Journal of Machine Learning Research, Vol 5 (Aug)] pp 1063--1088.
2004 Bishop, C. M. Svensen, M. and Hinton, G. E.
Distinguishing Text from Graphics in On-line Handwritten Ink.
2004 Hinton, G. E., Welling, M. and Mnih, A.
2004 Welling, M., Zemel, R. and Hinton, G. E.
2003 Teh, Y. W, Welling, M., Osindero, S. and Hinton G. E.
2003 Hinton, G. E. and Roweis, S.
2003 Welling, M., Zemel, R. S., and Hinton, G. E.
In: UAI-2003: 19th Conference on Uncertainty in Artificial Intelligence.
2003 Welling, M., Zemel, R. and Hinton, G. E.
2003 Welling, M., Hinton, G. E. and Osindero, S.
The ups and downs of Hebb synapses.
2002 Friston, K.J., Penny, W., Phillips, C., Kiebel, S., Hinton, G. E., and Ashburner, J.
Classical and Bayesian Inference in Neuroimaging: Theory.
2002 Brown, A. D. and Hinton, G. E.
2002 Paccanaro, A., and Hinton, G. E.
2002 Roweis, S., Saul, L. and Hinton, G. E.
2002 Oore, S., Terzopoulos, D. and Hinton, G. E.
2002 Welling, M. and Hinton, G. E.
2001 Hinton G. E., Welling, M., Teh, Y. W, and Osindero, S.
A New View of ICA.
2001 Hinton, G. E. and Teh, Y. W.
Training Many Small Hidden Markov Models.
Modelling High-Dimensional Data by Combining Simple Experts.
2000 Paccanaro, A., and Hinton, G.E.
2000 Hinton, G.E. , Ghahramani, Z and Teh Y. W.
2000 Ueda, N. Nakano, R., Ghahramani, Z and Hinton, G.E.
ICML-2000, Proceedings of the Seventeenth International Conference on Machine Learning, Langley P. (Ed.), 711-718, Stanford University, Morgan Kaufmann Publishers, San Francisco.
1999 Ghahramani, Z., Korenberg, A.T. and Hinton, G.E.
Scaling in a hierarchical unsupervised network.
1999 Frey, B.J., Hinton, G.E.
1998 Neal, R.M. and Hinton, G.E.
1998 de Sa, V.R. and Hinton, G.E.
1998 Tibshirani, R. and Hinton, G.E.
1998 Ennis M, Hinton G, Naylor D, Revow M, Tibshirani R.
A comparison of statistical learning methods on the GUSTO database.
Advances in Neural Information Processing Systems 10. MIT Press: Cambridge, MA.
1998 Grzeszczuk, R., Terzopoulos, D., and Hinton, G.~E.
1998 Fels, S. S. and Hinton, G. E.
Glove-TalkII: A neural network interface which maps gestures to parallel formant speech synthesizer controls.
1997 Hinton, G.E. , Sallans, B., and Ghahramani, Z.
1997 Williams, C. K. I., Revow, M. and Hinton, G. E.
1997 Hinton, G.E., Dayan, P. and Revow, M.
1997 Hinton, G.E. and Revow, M.
1997 Hinton, G. E. and Ghahramani, Z.
1997 Hinton, G.E. and Zemel, R.S.
1997 Dayan, P. and Hinton, G. E.
1997 Oore, S, Hinton, G.E., and Dudek G.
1997 Frey, B.J. Hinton, G.E.
1997 Bishop, C. M., Hinton, G.~E. and Strachan, I. D. G.
1996 Frey, B. J., Hinton, G. E. and Dayan, P.
Does the wake-sleep algorithm learn good density estimators?
Advances in Neural Information Processing Systems 8. MIT Press, Cambridge, MA.
1996 Frey, B. J. and Hinton, G. E.
L. Harris and M. Jenkin (Eds) Computational and Biological Mechanisms of Visual Coding, Cambridge University press, New York.
1996 Dayan, P. and Hinton, G. E.
1996 Hinton, G. E. and Revow, M.
Advances in Neural Information Processing Systems 8. D.S. Touretzky, M.C. Mozer and M.E. Hasselmo. MIT Press.
1996 Ghahramani, Z. and Hinton, G. E.
The EM algorithm for mixtures of factor analyzers.
Technical Report CRG-TR-96-1, University of Toronto.
Parameter estimation for linear dynamical systems.
Technical Report CRG-TR-96-2, University of Toronto.
1996 Frey, B. J., and Hinton, G.~E.
Proceedings of the Data Compression Conference 1996, IEEE Computer Society Press, Los Alamitos, CA.
1996 Revow, M., Williams, C. K. I. and Hinton, G. E.
IEEE Transactions on Pattern Analysis and Machine Intelligence,18, 592-606.
1995 Hinton, G. E., Revow, M. and Dayan P.
Advances in Neural Information Processing Systems 7. G. Tesauro, D. S. Touretzky and T. K. Leen (Eds), pp 1015-1022 MIT Press, Cambridge MA.
1995 Williams, C. K. I., Hinton, G. E. and Revow, M.
Advances in Neural Information Processing Systems 7. G. Tesauro, D. S. Touretzky and T. K. Leen (Eds), pp 965-972 MIT Press, Cambridge MA.
1995 Xu, L., Jordan, M. I. and Hinton, G.~E.
1995 Fels, S. S. and Hinton, G.~E.
GloveTalkII: Mapping hand gestures to speech using neural networks.
1995 Zemel, R. S. and Hinton, G. E.
1995 Hinton, G. E., Dayan, P., Frey, B. J. and Neal, R.
The wake-sleep algorithm for unsupervised Neural Networks.
1995 Dayan, P., Hinton, G. E., Neal, R., and Zemel, R. S.
1995 Hinton, G. E., Dayan, P., To, A. and Neal R. M.
1995 Hinton, G. E. and Frey, B. J.
Using neural networks to monitor for rare failures.
1994 Hinton, G. E. and Zemel, R. S.
Autoencoders, minimum description length, and Helmholtz free energy.
Advances in Neural Information Processing Systems 6. J. D. Cowan, G. Tesauro and J. Alspector (Eds.), Morgan Kaufmann: San Mateo, CA.
1994 Zemel, R.S. and Hinton, G. E.
1994 Xu, L. Jordan, M. I. and Hinton, G.~E.
A modified gating network for the mixtures of experts architectures.
1993 Williams, C. K. I., Revow, M. and Hinton, G. E.
Hand-printed digit recognition using deformable models.
1993 Revow, M., Williams, C.K.I, and Hinton, G.E.
Using mixtures of deformable models to capture variations in the shapes of hand-printed digits.
Third International Workshop on Frontiers of Handwriting Recognition.
1993 Hinton, G. E. and van Camp, D.
Sixth ACM Conference on Computational Learning Theory, Santa Cruz, July 1993.
1993 Hinton, G. E., Plaut, D. C. and Shallice, T.
1993 Becker, S. and Hinton, G. E.
1993 Nowlan. S. J. and Hinton, G. E.
1993 Dayan, P. and Hinton, G. E.
Advances in Neural Information Processing Systems 5. S. J. Hanson, J. D. Cowan and C. L. Giles (Eds.), Morgan Kaufmann: San Mateo, CA.
1992 Fels, S. S. and Hinton, G. E.
1992 Hinton, G. E., Williams, C. K. I., and Revow, M.
Combining two methods of recognizing hand-printed digits.
Adaptive elastic models for character recognition.
Advances in Neural Information Processing Systems 4. J. E. Moody, S. J. Hanson and R. P. Lippmann (Eds.), Morgan Kaufmann: San Mateo, CA.
1992 Nowlan. S. J. and Hinton, G. E.
1992 Becker, S. and Hinton, G. E.
A self-organizing neural network that discovers surfaces in random-dot stereograms.
How neural networks learn from experience.
1991 Jacobs, R., Jordan, M. I., Nowlan. S. J. and Hinton, G. E.
1991 Nowlan, S. J. and Hinton, G. E.
Advances in Neural Information Processing Systems 3. R. P. Lippmann, J. E. Moody, and D. S. Touretzky (Eds.), Morgan Kaufmann: San Mateo, CA.
1991 Zemel, R.S. Hinton, G.E.
1991 Hinton, G. E. and Shallice, T.
1990 Williams, C. K. I. and Hinton, G. E.
Mean field networks that learn to discriminate temporally distorted strings.
1990 Zemel, R.S. Mozer, M.C., Hinton, G.E.
1990 Galland, C. G. and Hinton, G. E.
Discovering higher-order features with mean field networks.
1990 Lang, K. J. and Hinton, G. E.
Deterministic Boltzmann learning in networks with asymmetric connectivity.
Touretzky, D. S., Elman, J. L., Sejnowski, T. J. and Hinton, G. E. (Eds.) Connectionist Models: Proceedings of the 1990 Connectionist Summer School. Morgan Kauffman: San Mateo, CA.
1990 Lang, K., Waibel, A. and Hinton, G. E.
1990 Hinton, G.E., Becker, S.
1990 Hinton, G. E. and Nowlan, S. J.
1989 Waibel, A. Hanazawa, T. Hinton, G. Shikano, K. and Lang, K.
1989 LeCun, Y., Galland, C. C., and Hinton, G. E.
GEMINI: Gradient Estimation by Matrix Inversion after Noise Injection.
1988 Touretzky, D. S. and Hinton, G. E.
1988 Hinton, G. E. and Parsons, L. A.
Scene-based and viewer-centered representations for comparing shapes.
1988 Hinton, G. E. and McClelland, J. L.
Representing part-whole hierarchies in connectionist networks.
1987 Fahlman, S. E. and Hinton, G. E.
1987 Hinton, G. E. and Plaut, D. C.
1987 Hinton, G. E. and Nowlan, S. J.
This paper was rejected by the Cognitive Science Society Conference (against the advice of the referees) because the chairman of the organizing committee thought it might mislead cognitive scientists.
1987 Plaut, D.C. and Hinton, G.E.
1987 Sejnowski, T.~J. and Hinton, G.~E.
Separating figure from ground using a Boltzmann machine.
1986 Rumelhart, D. E., Hinton, G. E., and Williams, R. J.
1986 Kienker, P. K., Sejnowski, T. J., Hinton, G. E., and Schumacher, L. E.
Separating figure from ground with a parallel network.
1986 Sejnowski, T. J., Kienker, P. K., and Hinton, G. E.
1986 Plaut, D., Nowlan, S. and Hinton, G. E.
1986 McClelland, J. L., Rumelhart, D. E., and Hinton, G. E.
1986 Rumelhart, D. E., Hinton, G. E., and McClelland, J. L.
1986 Hinton, G. E., McClelland, J. L., and Rumelhart, D. E.
1986 Hinton, G. E. and Sejnowski, T. J.
1986 Rumelhart, D. E., Smolensky, P., McClelland, J. L., and Hinton, G. E.
Parallel distributed models of schemata and sequential thought processes.
1986 Pearlmutter, B. A. and Hinton, G. E.
1985 Ackley, D. H., Hinton, G. E., and Sejnowski, T. J.
1985 Touretzky, D. S. and Hinton, G. E.
1985 Hinton, G.E. and Lang, K.J.
1985 Szeliski, R. and Hinton, G. E.
Solving random-dot stereograms using the heat equation.
Proceedings of the IEEE conference on Computer Vision and Pattern Recognition, San Francisco.
Parallel computations for controlling an arm.
1984 Hinton, G.~E., Sejnowski, T. J., and Ackley, D. H.
Boltzmann Machines: Constraint satisfaction networks that learn.
1984 Hutchins, E. L. and Hinton, G. E.
Evaluating the interface of a document processor: A comparison of expert judgement and user observation.
Some computational solutions to Bernstein's problems.
1983 Ballard, D. H., Hinton, G. E., and Sejnowski, T. J.
1983 Hinton, G. E. and Sejnowski, T. J.
1983 Fahlman, S.E., Hinton, G.E. and Sejnowski, T.J.
Massively parallel architectures for A.I.: Netl, Thistle, and Boltzmann machines.
1983 Hinton, G.E. and Sejnowski, T.J.
The role of spatial working memory in shape perception.
1981 Hinton, G. and Anderson, J.
Parallel models of associative memory.
Lawrence Erlbaum Assoc., Hillsdale, NJ.
1981 Anderson, J. A. and Hinton, G. E.
Models of information processing in the brain.
Implementing semantic networks in parallel hardware.
1981 Hinton, G. E. and Parsons, L. A.
Frames of reference and mental imagery.
1978 Sloman, A., Owen, D. Hinton., G., Birch, F. and O'Gorman, F.
PhD Thesis, University of Edinburgh.

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