Geoffrey E. Hinton's Publications
in Reverse Chronological Order
2006 2005 2004 2003 2002 2001 2000 1999 1998 1997 1996 1995 1994 1993 1992 1991 1990 1989 1988 1987 1986 1985 1984 1983-1976
| 2006 |
Hinton, G. E., Osindero, S., Welling, M. and Teh, Y. Unsupervised Discovery of Non-linear Structure using Contrastive Backpropagation. to appear in Cognitive Science, 30:4. [ps] [pdf] |
| 2006 |
Hinton, G. E. and Nair, V. Inferring motor programs from images of handwritten digits. (a revised version will appear in NIPS 2005) [ps.gz] [pdf] |
| 2006 |
Hinton, G. E., Osindero, S. and Teh, Y. A fast learning algorithm for deep belief nets. Neural Computation 18, pp 1527-1554. [ps.gz] [pdf] |
| 2005 |
Osindero, S., Welling, M. and Hinton, G. E. Topographic Product Models Applied To Natural Scene Statistics Neural Computation, 18, pp 381-344. [pdf] |
| 2005 |
Hinton, G. E., Osindero, S. and Bao, K. Learning Causally Linked Markov Random Fields. In: Artificial Intelligence and Statistics, 2005, Barbados [ps.gz] [pdf] |
| 2005 |
Mnih, A. and Hinton. G. E. Learning Unreliable Constraints using Contrastive Divergence. In IJCNN 2005, Montreal [ps.gz] [pdf] |
| 2005 |
Memisevic, R. and Hinton, G. E. Improving dimensionality reduction with spectral gradient descent. Neural Networks, 18, pp 702-710. [online version] |
| 2005 |
Carreira-Perpignan, M. A. and Hinton. G. E. On Contrastive Divergence Learning. In: Artificial Intelligence and Statistics, 2005, Barbados [pdf] |
| 2005 |
Goldberger, J., Roweis, S., Salakhutdinov, R and Hinton, G. E. Neighborhood Components Analysis Advances in Neural Information Processing Systems, 17, MIT Press, Cambridge, MA [pdf] |
| 2005 |
Memisevic, R. and Hinton, G. E. Multiple Relational Embedding. Advances in Neural Information Processing Systems, 17, MIT Press, Cambridge, MA [ps.gz] [pdf] |
| 2005 |
Welling, M,, Rosen-Zvi, M. and Hinton, G. E. Exponential Family Harmoniums with an Application to Information Retrieval. Advances in Neural Information Processing Systems, 17, MIT Press, Cambridge, MA [ps.gz] [pdf] |
| 2004 |
Sallans, B and Hinton, G. E. Reinforcement Learning with Factored States and Actions. [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. International Handwriting Recognition Conference |
| 2004 |
Hinton, G. E., Welling, M. and Mnih, A. Wormholes Improve Contrastive Divergence. Advances in Neural Information Processing Systems, 16, MIT Press, Cambridge, MA [ps.gz] [pdf] |
| 2004 |
Welling, M., Zemel, R. and Hinton, G. E. Probabilistic sequential independent components analysis. IEEE Transactions on Neural Networks, Vol. 15, pp 838-849. [ps.gz] [pdf] |
| 2003 |
Teh, Y. W, Welling, M., Osindero, S. and Hinton G. E. Energy-Based Models for Sparse Overcomplete Representations. Journal of Machine Learning Research, 4, pp 1235-1260. [ps.gz] [pdf] |
| 2003 |
Hinton, G. E. and Roweis, S. Stochastic Neighbor Embedding. Advances in Neural Information Processing Systems, 15, MIT Press, Cambridge, MA [ps.gz] |
| 2003 |
Welling, M., Zemel, R. S., and Hinton, G. E. Efficient parametric projection pursuit density estimation. In: UAI-2003: 19th Conference on Uncertainty in Artificial Intelligence. [ps.gz] |
| 2003 |
Welling, M., Zemel, R. and Hinton, G. E. Self-Supervised Boosting. Advances in Neural Information Processing Systems, 15, MIT Press, Cambridge, MA [pdf] [ps.gz] |
| 2003 |
Welling, M., Hinton, G. E. and Osindero, S.
Learning Sparse Topographic Representations with Products of Student-t Distributions. Advances in Neural Information Processing Systems, 15, MIT Press, Cambridge, MA [ps.gz] |
| 2002 |
Hinton, G. E. (2002) Training Products of Experts by Minimizing Contrastive Divergence. Neural Computation, 14, pp 1771-1800. [Technical report version abstract] [Technical report version ps.gz] [Technical report version pdf] |
| 2002 |
Friston, K.J., Penny, W., Phillips, C., Kiebel, S., Hinton, G. E., and
Ashburner, J. Classical and Bayesian Inference in Neuroimaging: Theory. NeuroImage, 16, pp 465-483. [pdf] |
| 2002 |
Brown, A. D. and Hinton, G. E. Relative Density Nets: A New Way to Combine Backpropagation with HMM's. Advances in Neural Information Processing Systems, 14, MIT Press, Cambridge, MA [ps] [ps.gz] |
| 2002 |
Paccanaro, A., and Hinton, G. E. Learning Hierarchical Structures with Linear Relational Embedding. Advances in Neural Information Processing Systems, 14, MIT Press, Cambridge, MA [pdf] [ps] [ps.gz] |
| 2002 |
Roweis, S., Saul, L. and Hinton, G. E. Global Coordination of Local Linear Models Advances in Neural Information Processing Systems, 14, MIT Press, Cambridge, MA [.ps.gz] |
| 2002 |
Oore, S., Terzopoulos, D. and Hinton, G. E. A Desktop Input Device and Interface for Interactive 3D Character Animation. Graphics Interface. [pdf] |
| 2002 |
Oore, S., Terzopoulos, D. and Hinton, G. E. Local Physical Models for Interactive Character Animation. Eurographics 2002, 21, Blackwell Publishers, Oxford. [pdf] |
| 2002 |
Welling, M. and Hinton, G. E. A New Learning Algorithm for Mean Field Boltzmann Machines. International Joint Conference on Neural Networks, Madrid. [ps.gz] |
| 2002 |
Guy Mayraz and Geoffrey Hinton (2002) Recognizing Handwritten Digits using Hierarchical Products of Experts IEEE Transactions on Pattern Analysis and Machine Intelligence, 24, pp 189-197 [pdf] |
| 2002 |
Friston, K.J., Penny, W., Phillips, C., Kiebel, S., Hinton, G. E., and
Ashburner, J. (2002) Classical and Bayesian Inference in Neuroimaging: Theory. NeuroImage, 16, pp 465-483. [pdf] |
| 2001 |
Hinton G. E., Welling, M., Teh, Y. W, and Osindero, S. A New View of ICA. Proceedings of ICA-2001, San Diego, CA. [ps.gz] [pdf] |
| 2001 |
Hinton, G. E. and Teh, Y. W. Discovering Multiple Constraints that are Frequently Approximately Satisfied. Proceedings of Uncertainty in Artificial Intelligence (UAI-2001), pp 227-234. [ps.gz] [pdf] |
| 2001 |
Andrew Brown, Geoffrey Hinton Training Many Small Hidden Markov Models. Proceedings of the Workshop on Innovation in Speech Processing. [ps] [ps.gz] [pdf] |
| 2001 |
Andrew Brown, Geoffrey Hinton Products of Hidden Markov Models. T. Jaakkola and T. Richardson eds., Proceedings of Artificial Intelligence and Statistics 2001, Morgan Kaufmann, pp 3-11 [abstract] [ps] [ps.gz] [pdf] |
| 2001 |
Yee-Whye Teh, Geoffrey Hinton Rate-coded Restricted Boltzmann Machines for Face Recognition Advances in Neural Information Processing Systems 13, MIT Press, Cambridge, MA [abstract] [ps.gz] [pdf] |
| 2001 |
Brian Sallans, Geoffrey Hinton Using Free Energies to Represent Q-values in a Multiagent Reinforcement learning Task Advances in Neural Information Processing Systems 13, MIT Press, Cambridge, MA [abstract] [ps.gz] [pdf] |
| 2001 |
Guy Mayraz, Geoffrey Hinton Recognizing Hand-Written Digits Using Hierarchical Products of Experts Advances in Neural Information Processing Systems 13, MIT Press, Cambridge, MA [abstract] [ps.gz] [pdf] |
| 2000 |
Hinton, G.E. Training Products of Experts by Minimizing Contrastive Divergence Technical Report: GCNU TR 2000-004 [abstract] [ps.gz] [pdf] |
| 2000 |
Paccanaro, A. and Hinton, G.E Extracting Distributed Representations of Concepts and Relations from Positive and Negative Propositions Proceedings of the International Joint Conference on Neural Networks, IJCNN 2000 [pdf] [ps] [ps.gz] |
| 2000 |
Paccanaro, A., and Hinton, G.E. Learning Distributed Representations of Concepts from Relational Data Using Linear Relational Embedding IEEE Transactions on Knowledge and Data Engineering, 13, pp 232-245. (Online preprint version is Technical Report: GCNU TR 2000-002) [abstract] [ps.gz]] [pdf] |
| 2000 |
Hinton, G.E. , and Brown, A Spiking Boltzmann machines. In Advances in Neural Information Processing Systems 12, MIT Press, Cambridge, MA [abstract] [ps.gz] [pdf] |
| 2000 |
Hinton, G.E. , Ghahramani, Z and Teh Y. W. Learning to parse images. In Advances in Neural Information Processing Systems 12, MIT Press, Cambridge, MA [abstract] [ps.gz] [pdf] |
| 2000 |
Ghahramani, Z. and Hinton, GE Variational learning for switching state-space models. [abstract] [ps.gz] [pdf] Neural Computation, 12, pp 831-864, |
| 2000 |
Ueda, N. Nakano, R., Ghahramani, Z and Hinton, G.E. SMEM algorithm for mixture models. [abstract] [ps.gz] [pdf] Neural Computation, 12, pp 2109-2128 |
| 2000 |
Paccanaro, A., and Hinton, G.E. Learning Distributed Representations by Mapping Concepts and Relations into a Linear Space ICML-2000, Proceedings of the Seventeenth International Conference on Machine Learning, Langley P. (Ed.), 711-718, Stanford University, Morgan Kaufmann Publishers, San Francisco. [ps]] [ps.gz]] [pdf] |
| 1999 |
Hinton, G.E. Supervised learning in multilayer neural networks in The MIT Encyclopedia of the Cognitive Sciences Editors: Robert A. Wilson and Frank C. Keil The MIT Press. [ps] [pdf] |
| 1999 |
Hinton, G.E Training products of experts by maximizing contrastive likelihood Technical Report: GCNU TR1999-001 [ See updated version above, GCNU TR 2000-004] |
| 1999 |
Hinton, G.E. Products of experts Proceedings of the Ninth International Conference on Artificial Neural Networks [ICANN 99 Vol 1 pages 1-6]. [abstract] [ps] [pdf] |
| 1999 |
Ghahramani, Z., Korenberg, A.T. and Hinton, G.E. Scaling in a hierarchical unsupervised network. [abstract] [ps.gz] [pdf] Proceedings of the Ninth International Conference on Artificial Neural Networks [ICANN 99, Vol 1 pages 13-18] |
| 1999 |
Hinton, G.E., and T. Sejnowski (eds) Unsupervised Learning: Foundations of Neural Computation June 1999, MIT Press |
| 1999 |
Frey, B.J., Hinton, G.E. Variational learning in nonlinear gaussian belief networks [abstract] [ps] [pdf] Neural computation 11:1, 193-214 |
| 1998 |
Neal, R.M. and Hinton, G.E. A view of the EM algorithm that justifies incremental, sparse, and other variants [abstract] [ps] [pdf] in Learning in Graphical Model M.I. Jordan (editor) |
| 1998 |
de Sa, V.R. and Hinton, G.E. Cascaded redundancy reduction. [abstract] [ps] [pdf] Network: Computation in Neural Systems, 9, 73-84 |
| 1998 |
Tibshirani, R. and Hinton, G.E. Coaching variables for regression and classification [abstract] [ps] [pdf] Statistics and Computing, 8, 25-33 |
| 1998 |
Ennis M, Hinton G, Naylor D, Revow M, Tibshirani R. A comparison of statistical learning methods on the GUSTO database. Statistics in Medicine, 17, pp 2501-2508. |
| 1998 |
Ghahramani, Z. and Hinton, G.E Hierarchical nonlinear factor analysis and topographic maps [abstract] [ps.gz] [pdf] Advances in Neural Information Processing Systems 10. MIT Press: Cambridge, MA. |
| 1998 |
Fels, S. S. and Hinton, G. E. Glove-TalkII: A neural network interface which maps gestures to parallel formant speech synthesizer controls. [abstract] [ps] [pdf] IEEE Transactions on Neural Networks, Vol 9 No 1, 205-212 |
| 1997 |
Hinton, G.E. , Sallans, B., and Ghahramani, Z. A hierarchical community of experts [abstract] [ps.gz] [pdf] Learning in Graphical Model, 479-494, Kluwer Academic Publishers |
| 1997 |
Williams, C. K. I., Revow, M. and Hinton, G. E. Instantiating deformable models with a neural net [abstract] [ps] [pdf] Computer Vision and Image Understanding, Vol. 68, No. 1, Oct 1997, pp. 120-126 |
| 1997 |
Hinton, G.E., Dayan, P. and Revow, M. Modeling the manifolds of images of handwritten digits. IEEE Transactions on Neural Networks, 8 65-74 [abstract] [ps] [ps.gz] [pdf] |
| 1997 |
Hinton, G.E. and Revow, M. Using mixtures of factor analyzers for segmentation and pose estimation [abstract] [ps] [ps.gz] [pdf] |
| 1997 |
Hinton, G. E. and Ghahramani, Z. Generative models for discovering sparse distributed representations [abstract] [ps] [pdf] Philosophical Transactions of the Royal Society of London, B, 352: 1177-1190 |
| 1997 |
Hinton, G.E. and Zemel, R.S. Minimizing description length in an unsupervised neural network [abstract] [ps] [pdf] |
| 1997 |
Dayan, P. and Hinton, G. E. Using EM for reinforcement learning [abstract] [ps.gz] [pdf] Neural Computation, 9, 271-278 |
| 1997 |
Oore, S, Hinton, G.E., and Dudek G. A mobile robot that learns its place [abstract] [ps] [pdf] Neural Computation 9:3 683-699 |
| 1997 |
Frey, B.J. Hinton, G.E. Efficient stochastic source coding and an application to a bayesian network source model [abstract] [ps] [pdf] The computer Journal, 40 No. 2/3. |
| 1996 |
Frey, B. J., Hinton, G. E. and Dayan, P. Does the wake-sleep algorithm learn good density estimators? [abstract] [ps] [ps.gz] [pdf] Advances in Neural Information Processing Systems 8. MIT Press, Cambridge, MA. |
| 1996 |
Frey, B. J. and Hinton, G. E. A simple algorithm that discovers efficient perceptual codes [abstract] [ps] [pdf] 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. Varieties of Helmholtz machines. [abstract] [ps] [pdf] Neural Networks, 9 1385-1403 |
| 1996 |
Hinton, G. E. and Revow, M. Using pairs of data-points to define splits for decision trees [abstract] [ps] [pdf] 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. [abstract] [ps.gz] [pdf] Technical Report CRG-TR-96-1, University of Toronto. |
| 1996 |
Ghahramani, Z. and Hinton, G. E. Parameter estimation for linear dynamical systems. [abstract] [ps.gz] [pdf] Technical Report CRG-TR-96-2, University of Toronto. |
| 1996 |
Revow, M., Williams, C. K. I. and Hinton, G. E. Using Generative Models for Handwritten Digit Recognition. [abstract] [ps] [pdf] IEEE Transactions on Pattern Analysis and Machine Intelligence, 18, 592-606. |
| 1995 |
Hinton, G. E., Revow, M. and Dayan P. Recognizing handwritten digits using mixtures of linear models. [abstract] [ps] [ps.gz] [pdf] 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. Using a neural net to instantiate a deformable model. [abstract] [ps] [pdf] 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 |
Zemel, R. S. and Hinton, G. E. Learning population codes by minimizing description length. [abstract] [ps.gz] [pdf] Neural Computation, 7, 549-564. |
| 1995 |
Hinton, G. E., Dayan, P., Frey, B. J. and Neal, R. The wake-sleep algorithm for unsupervised Neural Networks. [abstract] [ps] [pdf] Science, 268, 1158-1161. |
| 1995 |
Dayan, P., Hinton, G. E., Neal, R., and Zemel, R. S. The Helmholtz machine [abstract] [ps.gz] [pdf] Neural Computation, 7, 1022-1037. |
| 1995 |
Hinton, G. E., Dayan, P., To, A. and Neal R. M. The Helmholtz machine through time. [abstract] [ps] [pdf] F. Fogelman-Soulie and R. Gallinari (editors) ICANN-95, 483-490 |
| 1994 |
Hinton, G. E. and Zemel, R. S. Autoencoders, minimum description length, and Helmholtz free energy. [abstract] [ps] [pdf] 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. Developing population codes by minimizing description length. [abstract] [ps] [pdf] Advances in Neural Information Processing Systems 6. J. D. Cowan, G. Tesauro and J. Alspector (Eds.), Morgan Kaufmann: San Mateo, CA. |
| 1993 |
Williams, C. K. I., Revow, M. and Hinton, G. E. Hand-printed digit recognition using deformable models. [abstract] [ps] [pdf] L. Harris and M. Jenkin (Eds) Spatial Vision in Humans and Robots Cambridge University press, New York. |
| 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. [abstract] [ps] [pdf] Third International Workshop on Frontiers of Handwriting Recognition. |
| 1993 |
Hinton, G. E. and van Camp, D. Keeping neural networks simple by minimizing the description length of the weights [abstract] [ps] [pdf] Sixth ACM Conference on Computational Learning Theory, Santa Cruz, July 1993. |
| 1993 |
Hinton, G. E., Plaut, D. C. and Shallice, T. Simulating brain damage [abstract] [ps] [pdf] Scientific American, October Issue |
| 1993 |
Becker, S. and Hinton, G. E. Learning mixture models of spatial coherence [abstract] [ps] [pdf] Neural Computation 5, 267-277. |
| 1993 |
Nowlan. S. J. and Hinton, G. E. A soft decision-directed LMS algorithm for blind equalization. [abstract] [ps] [pdf] IEEE Transactions on Communications, 41. |
| 1993 |
Dayan, P. and Hinton, G. E. Feudal reinforcement learning. [abstract] [ps.gz] [pdf] 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. Glove-Talk: A neural network interface between a data-glove and a speech synthesizer. [abstract] [ps] [pdf] IEEE Transactions on Neural Networks, 3, No 6 |
| 1992 |
Hinton, G. E., Williams, C. K. I., and Revow, M. Combining two methods of recognizing hand-printed digits. [abstract] [ps] [pdf] Artificial Neural Networks II: Proceedings of ICANN-92. I. Aleksander and J. Taylor (Eds.), Elsevier North-Holland. |
| 1992 |
Hinton, G. E., Williams, C. K. I., and Revow, M. Adaptive elastic models for character recognition. [abstract] [ps.gz] [pdf] 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. Simplifying neural networks by soft weight sharing. [pdf] Neural Computation, 4, 173-193. |
| 1992 |
Becker, S. and Hinton, G. E. A self-organizing neural network that discovers surfaces in random-dot stereograms. [abstract] [ps] [pdf] Nature, 355:6356, 161-163 |
| 1992 |
Hinton, G.E. How neural networks learn from experience. [abstract] [ps] [pdf] Scientific American, September 1992. |
| 1991 |
Jacobs, R., Jordan, M. I., Nowlan. S. J. and Hinton, G. E. Adaptive mixtures of local experts. [abstract] [ps] [pdf] Neural Computation, 3, 79-87. |
| 1991 |
Nowlan, S. J. and Hinton, G. E. Evaluation of adaptive mixtures of competing experts. [abstract] [ps] [pdf] 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. and Hinton, G.E. Discovering and using the viewpoint consistency constraint [abstract] [ps] [pdf] 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. Discovering viewpoint-invariant relationships that characterize objects [abstract] [ps] [pdf] In Advances in Neural Information Processing Systems 3.. San Mateo, CA Morgan Kaufmann. |
| 1991 |
Hinton, G. E. and Shallice, T. Lesioning an attractor network: Investigations of acquired dyslexia. [abstract] [ps] [pdf] Psychological Review, 98, 74-95. |
| 1990 |
Williams, C. K. I. and Hinton, G. E. Mean field networks that learn to discriminate temporally distorted strings. [abstract] [ps] [pdf] 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 |
Zemel, R.S. Mozer, M.C., Hinton, G.E. Traffic: Recognizing objects using hierarchical reference frame transformations [abstract] [ps] [pdf] In Advances in Neural Information Processing Systems 2. San Mateo |
| 1990 |
Galland, C. G. and Hinton, G. E. Deterministic Boltzmann learning in networks with asymmetric connectivity. [abstract] [ps] [pdf] 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 |
Hinton, G.E. Preface to the special issue on connectionist symbol processing [ps] [pdf] Artificial Intelligence 46, 1-4 |
| 1990 |
Lang, K., Waibel, A. and Hinton, G. E. A time-delay neural network architecture for isolated word recognition. [abstract] [ps] [pdf] Neural Networks, 3, 23-43. |
| 1990 |
Lang, K. J. and Hinton, G. E. Dimensionality reduction and prior knowledge in E-set recognition. [abstract] [ps] [pdf] Touretzky, D. S., (Ed.) Advances in Neural Information Processing Systems 2, Morgan Kaufmann: San Mateo, CA. |
| 1990 |
Hinton, G. E. Mapping part-whole hierarchies into connectionist networks. [abstract] [ps] [pdf] Artificial Intelligence, 46, 47-75. |
| 1990 |
Hinton, G.E., Becker, S. An unsupervised learning procedure that discovers surfaces in random-dot stereograms [abstract] [ps] [pdf] Proc. International Joint Conference on Neural Networks, Washington, DC, 1990 |
| 1990 |
Hinton, G. E. and Nowlan, S. J. The bootstrap Widrow-Hoff rule as a cluster-formation algorithm. [abstract] [ps] [pdf] Neural Computation, 2, 355-362. |
| 1989 |
Hinton, G. E. Deterministic Boltzmann learning performs steepest descent in weight-space. Neural Computation, 1, 143-150. |
| 1989 |
Waibel, A. Hanazawa, T. Hinton, G. Shikano, K. and Lang, K. Phoneme recognition using time-delay neural networks. IEEE Acoustics Speech and Signal Processing, 37, 328-339. |
| 1989 |
LeCun, Y., Galland, C. C., and Hinton, G. E. GEMINI: Gradient Estimation by Matrix Inversion after Noise Injection. Touretzky, D. S., (Ed.) Neural Information Processing Systems 1, Morgan Kaufmann: San Mateo, CA. |
| 1989 |
Hinton, G.E. Connectionist learning procedures. Artificial Intelligence 40, 185-234. |
| 1988 |
Touretzky, D. S. and Hinton, G. E. A distributed connectionist production system. Cognitive Science, 12, 423-466. |
| 1988 |
Hinton, G. E. and Parsons, L. A. Scene-based and viewer-centered representations for comparing shapes. Cognition, 30, 1--35. |
| 1988 |
Hinton, G. E. and McClelland, J. L. Learning representations by recirculation. In D. Z. Anderson, editor, Neural Information Processing Systems, pages 358--366, American Institute of Physics: New York. |
| 1987 |
Fahlman, S. E. and Hinton, G. E. Connectionist architectures for Artificial Intelligence. IEEE Computer, 20, 100--109. |
| 1987 |
Hinton, G. E. Learning translation invariant recognition in a massively parallel network. In Goos, G. and Hartmanis, J., editors, PARLE: Parallel Architectures and Languages Europe, pages 1--13, Lecture Notes in Computer Science, Springer-Verlag, Berlin. |
| 1987 |
Hinton, G.E. The horizontal-vertical delusion Perception, 16, 5, 677-680 |
| 1987 |
Hinton, G. E. and Plaut, D. C. Using fast weights to deblur old memories. Proceedings of the Ninth Annual Conference of the Cognitive Science Society, Seattle, WA [pdf] |
| 1987 |
Hinton, G. E. and Nowlan, S. J. How learning can guide evolution. Complex Systems, 1, 495--502. [remote htm with figures] [local htm without figures] This paper was rejected by the Cognitive Science Society Conference because the chairman of the organizing committee thought it might mislead cognitive scientists. |
| 1987 |
Plaut, D.C. and Hinton, G.E. Learning sets of filters using back-propagation Computer Speech and Language, 2, 35-61 |
| 1987 |
Sejnowski, T.~J. and Hinton, G.~E. Separating figure from ground using a Boltzmann machine. In Arbib, M. and Hanson, A.~R., editors, Vision, Brain and Cooperative Computation, MIT Press, Cambridge, MA. |
| 1986 |
Rumelhart, D. E., Hinton, G. E., and McClelland, J. L. A general framework. In Rumelhart, D. E. and McClelland, J. L., editors, Parallel Distributed Processing: Explorations in the Microstructure of Cognition. Volume 1: Foundations, MIT Press, Cambridge, MA. |
| 1986 |
Rumelhart, D. E., Hinton, G. E., and Williams, R. J. Learning representations by back-propagating errors. Nature, 323, 533--536. |
| 1986 |
Hinton, G. E. and Sejnowski, T. J. Learning and relearning in Boltzmann machines. In Rumelhart, D. E. and McClelland, J. L., editors, Parallel Distributed Processing: Explorations in the Microstructure of Cognition. Volume 1: Foundations, MIT Press, Cambridge, MA. |
| 1986 |
Kienker, P. K., Sejnowski, T. J., Hinton, G. E., and Schumacher, L.
E. Separating figure from ground with a parallel network. Perception, 15, 197--216. |
| 1986 |
Sejnowski, T. J., Kienker, P. K., and Hinton, G. E. Learning symmetry groups with hidden units: Beyond the perception..Physica D, 22, 260--275. |
| 1986 |
Hinton, G. E. Learning distributed representations of concepts. Proceedings of the Eighth Annual Conference of the Cognitive Science Society, Amherst, Mass. Reprinted in Morris, R. G. M. editor, Parallel Distributed Processing: Implications for Psychology and Neurobiology, Oxford University Press, Oxford, UK |
| 1986 |
Rumelhart, D. E., Hinton, G. E., and Williams, R. J. Learning internal representations by error propagation. In Rumelhart, D. E. and McClelland, J. L., editors, Parallel Distributed Processing: Explorations in the Microstructure of Cognition. Volume 1: Foundations Volume 1: Foundations, MIT Press, Cambridge, MA. |
| 1986 |
Plaut, D., Nowlan, S. and Hinton, G. E. Experiments on learning by back-propagation [abstract] [ps] [pdf] Technical Report CMU-CS-86-126. Department of Computer Science, Carnegie-Mellon University. |
| 1986 |
Hinton, G. E., McClelland, J. L., and Rumelhart, D. E. Distributed representations. In Rumelhart, D. E. and McClelland, J. L., editors, Parallel Distributed Processing: Explorations in the Microstructure of Cognition. Volume 1: Foundations, MIT Press, Cambridge, MA. |
| 1986 |
Rumelhart, D. E., Smolensky, P., McClelland, J. L., and Hinton, G.
E. Parallel distributed models of schemata and sequential thought processes. In McClelland, J. L. and Rumelhart, D. E., editors, Parallel Distributed Processing: Explorations in the Microstructure of Cognition. |
| 1986 |
Pearlmutter, B. A. and Hinton, G. E. G-maximization: An unsupervised learning procedure for discovering regularities. In Denker, J., editor, Neural Networks for Computing, American Institute of Physics. |
| 1985 |
Ackley, D. H., Hinton, G. E., and Sejnowski, T. J. A learning algorithm for Boltzmann machines. Cognitive Science, 9, 147-169. |
| 1985 |
Touretzky, D. S. and Hinton, G. E. Symbols among the neurons: Details of a connectionist inference architecture. Proceedings of the Ninth International Joint Conference on Artificial Intelligence, Los Angeles. |
| 1985 |
Hutchins, E. L. and Hinton, G. E. Why the islands move. Perception, 13, 629--632. |
| 1985 |
Hinton, G.E. and Lang, K.J. Shape recognition and illusory conjunctions Proceedings of the Ninth International Joint Conference on Artificial Intelligence, Los Angeles, pp 252-259 |
| 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. |
| 1984 |
Hinton, G. E. Parallel computations for controlling an arm. The Journal of Motor Behavior, 16, 171-194. |
| 1984 |
Hammond, N., Hinton, G.E., Barnard, P., Long, J. and Whitefield, A Evaluating the interface of a document processor: A comparison of expert judgement and user observation. Proceedings of the First IFIP Conference on Human-Comuter Interaction, North-Holland |
| 1984 |
Hinton, G. E. Some computational solutions to Bernstein's problems. In Whiting, H., editor, Human Motor Actions: Bernstein Reassessed, North-Holland, New York. |
| 1983 |
Ballard, D. H., Hinton, G. E., and Sejnowski, T. J. Parallel visual computation. Nature, 306, 21--26. |
| 1983 |
Hinton, G. E. and Sejnowski, T. J. Optimal perceptual inference. Proceedings of the IEEE conference on Computer Vision and Pattern Recognition, Washington DC. |
| 1983 |
Fahlman, S.E., Hinton, G.E. and Sejnowski, T.J. Massively parallel architectures for A.I.: Netl, Thistle, and Boltzmann machines. Proceedings of the National Conference on Artificial Intelligence, Washington DC. |
| 1983 |
Hinton, G.E. and Sejnowski, T.J. Analyzing cooperative computation. Proceedings of the Fifth Annual Conference of the Cognitive Science Society, Rochester NY. |
| 1981 |
Hinton, G.E. The role of spatial working memory in shape perception. Proceedings of the Third Annual Conference of the Cognitive Science Society, Berkeley CA. |
| 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. In Hinton, G. E. and Anderson, J. A, editors, Parallel Models of Associative Memory, Erlbaum, Hillsdale, NJ. |
| 1981 |
Hinton, G. E. Implementing semantic networks in parallel hardware. In Hinton, G. E. and Anderson, J. A., editors, Parallel Models of Associative Memory, Erlbaum, Hillsdale, NJ. |
| 1981 |
Hinton, G.E. A parallel computation that assigns canonical object-based frames of reference. Proceedings of the Seventh International Joint Conference on Artificial Intelligence Vol 2, Vancouver BC, Canada |
| 1981 |
Hinton, G. E. and Parsons, L. A. Frames of reference and mental imagery. In Long, J. and Baddeley, A., editors, Attention and Performance IX, Erlbaum, Hillsdale, NJ. |
| 1981 |
Hinton, G.E. Shape representation in parallel systems Proceedings of the Seventh International Joint Conference on Artificial Intelligence Vol 2, Vancouver BC, Canada |
| 1979 |
Hinton, G. E. Some demonstrations of the effects of structural descriptions in mental imagery. Cognitive Science, 3, 231-250. |
| 1978 |
Sloman, A., Owen, D. Hinton., G., Birch, F. and O'Gorman, F. Representation and control in vision. Proceedings of the A.I.S.B. Summer Conference, Hamburg |
| 1978 |
Hinton, G.E. Respectively reconsidered Pragmatics Microfiche, May issue |
| 1978 |
Hinton, G. E. Relaxation and its role in vision. PhD Thesis, University of Edinburgh. |
| 1976 |
Hinton, G.E. Using relaxation to find a puppet Proceeding of the A.I.S.B. Summer Conference, University of Edinburgh |
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