Hinton, Geoffrey

ImageNet classification with deep convolutional neural networks

Krizhevsky, A., Sutskever, I., & Hinton, G. E. (2017) · Communications of the ACM

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 112,155

Deep learning

LeCun, Y., Bengio, Y., & Hinton, G. (2015) · Nature

Neural Networks and ApplicationsAdvanced Neural Network Applications

Cited by 84,126

Learning representations by back-propagating errors

Rumelhart, D. E., Hinton, G. E., & Williams, R. J. (1986) · Nature

Neural Networks and ApplicationsMachine Learning and ELM

Cited by 31,892

Reducing the dimensionality of data with neural networks

Hinton, G. E., & Salakhutdinov, R. R. (2006) · Science

Neural Networks and ApplicationsFace and Expression Recognition

Cited by 20,928

A fast learning algorithm for deep belief nets

Hinton, G. E., Osindero, S., & Teh, Y.-W. (2006) · Neural Computation

Neural Networks and ApplicationsBayesian Modeling and Causal Inference

Cited by 16,336

Distilling the Knowledge in a Neural Network

Hinton, G., Vinyals, O., & Dean, J. (2015) · arXiv

Advanced Neural Network ApplicationsMachine Learning and Data Classification

Cited by 14,204

A simple framework for contrastive learning of visual representations

Chen, T., Kornblith, S., Norouzi, M., & Hinton, G. (2020) · arXiv

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 10,857

Deep neural networks for acoustic modeling in speech recognition: the shared views of four research groups

Hinton, G., Deng, L., Yu, D., Dahl, G., Mohamed, A.-R., Jaitly, N., Senior, A., Vanhoucke, V., Nguyen, P., Sainath, T., et al. (2012) · IEEE Signal Processing Magazine

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 10,260

Speech recognition with deep recurrent neural networks

Graves, A., Mohamed, A.-R., & Hinton, G. (2013) · 2013 IEEE International Conference on Acoustics, Speech and Signal Processing

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 8,893

Improving neural networks by preventing co-adaptation of feature detectors

Hinton, G. E., Srivastava, N., Krizhevsky, A., Sutskever, I., & Salakhutdinov, R. R. (2012) · arXiv

Neural Networks and ApplicationsAdvanced Neural Network Applications

Cited by 6,382

Adaptive Mixtures of Local Experts

Jacobs, R. A., Jordan, M. I., Nowlan, S. J., & Hinton, G. E. (1991) · Neural Computation

Neural Networks and ApplicationsSpeech Recognition and Synthesis

Cited by 5,384

Training Products of Experts by Minimizing Contrastive Divergence

Hinton, G. E. (2002) · Neural Computation

Neural Networks and ApplicationsBayesian Modeling and Causal Inference

Cited by 4,879

Dynamic Routing Between Capsules

Sabour, S., Frosst, N., & Hinton, G. E. (2017) · arXiv

Advanced Neural Network ApplicationsNeural Networks and Applications

Cited by 4,167

A learning algorithm for Boltzmann machines

Ackley, D. H., Hinton, G. E., & Sejnowski, T. J. (1985) · Cognitive Science

Neural Networks and ApplicationsBayesian Modeling and Causal Inference

Cited by 3,402

Learning internal representations by error propagation

RUMELHART, D. E., HINTON, G. E., & WILLIAMS, R. J. (1988) · Readings in Cognitive Science

Neural Networks and ApplicationsMachine Learning and ELM

Cited by 3,002

A Practical Guide to Training Restricted Boltzmann Machines

Hinton, G. E. (2012) · Lecture Notes in Computer Science

Neural Networks and ApplicationsTopic Modeling

Cited by 2,852

Phoneme recognition using time-delay neural networks

Waibel, A., Hanazawa, T., Hinton, G., Shikano, K., & Lang, K. J. (1989) · IEEE Transactions on Acoustics, Speech, and Signal Processing

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 2,643

A View of the Em Algorithm that Justifies Incremental, Sparse, and other Variants

Neal, R. M., & Hinton, G. E. (1998) · Learning in Graphical Models

Bayesian Methods and Mixture ModelsBayesian Modeling and Causal Inference

Cited by 2,187

Restricted Boltzmann machines for collaborative filtering

Salakhutdinov, R., Mnih, A., & Hinton, G. (2007) · Proceedings of the 24th international conference on Machine learning

Recommender Systems and TechniquesNeural Networks and Applications

Cited by 1,885

Transforming Auto-Encoders

Hinton, G. E., Krizhevsky, A., & Wang, S. D. (2011) · Lecture Notes in Computer Science

Advanced Image and Video Retrieval TechniquesAdvanced Neural Network Applications

Cited by 1,360

Improving deep neural networks for LVCSR using rectified linear units and dropout

Dahl, G. E., Sainath, T. N., & Hinton, G. E. (2013) · 2013 IEEE International Conference on Acoustics, Speech and Signal Processing

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 1,310

Semantic hashing

Salakhutdinov, R., & Hinton, G. (2009) · International Journal of Approximate Reasoning

Topic ModelingAdvanced Image and Video Retrieval Techniques

Cited by 1,246

The helmholtz machine

Dayan, P., Hinton, G. E., Neal, R. M., & Zemel, R. S. (1995) · Neural Computation

Neural Networks and ApplicationsBayesian Modeling and Causal Inference

Cited by 1,207

The "Wake-Sleep" Algorithm for Unsupervised Neural Networks

Hinton, G. E., Dayan, P., Frey, B. J., & Neal, R. M. (1995) · Science

Neural Networks and ApplicationsNeural dynamics and brain function

Cited by 1,070