Hinton, Geoffrey

Learning and relearning in Boltzmann machines

Hinton, G. E., & Sejnowski, T. J. (2001) · Graphical Models

Neural Networks and ApplicationsBayesian Modeling and Causal Inference

Cited by 1,037

Keeping the neural networks simple by minimizing the description length of the weights

Hinton, G. E., & van Camp, D. (1993) · Proceedings of the sixth annual conference on Computational learning theory - COLT '93

Neural Networks and ApplicationsStochastic Gradient Optimization Techniques

Cited by 994

Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Shazeer, N., Mirhoseini, A., Maziarz, K., Davis, A., Le, Q., Hinton, G., & Dean, J. (2017) · arXiv

Topic ModelingAdvanced Neural Network Applications

Cited by 933

Backpropagation and the brain

Lillicrap, T. P., Santoro, A., Marris, L., Akerman, C. J., & Hinton, G. (2020) · Nature Reviews Neuroscience

Neural Networks and ApplicationsNeural dynamics and brain function

Cited by 908

When does label smoothing help?

Müller, R., Kornblith, S., & Hinton, G. (2019) · arXiv

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 859

Similarity of Neural Network Representations Revisited

Kornblith, S., Norouzi, M., Lee, H., & Hinton, G. (2019) · arXiv

Neural Networks and ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 724

Deep Learning—A Technology With the Potential to Transform Health Care

Hinton, G. (2018) · JAMA

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 667

Regularizing Neural Networks by Penalizing Confident Output Distributions

Pereyra, G., Tucker, G., Chorowski, J., Kaiser, Ł., & Hinton, G. (2017) · arXiv

Machine Learning and Data ClassificationAdvanced Neural Network Applications

Cited by 655

Grammar as a Foreign Language

Vinyals, O., Kaiser, L., Koo, T., Petrov, S., Sutskever, I., & Hinton, G. (2014) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 464

Distilling a neural network into a soft decision tree

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

Explainable Artificial Intelligence (XAI)Data Mining Algorithms and Applications

Cited by 407

Parallel visual computation

Ballard, D. H., Hinton, G. E., & Sejnowski, T. J. (1983) · Nature

Computer Graphics and Visualization TechniquesAdvanced Vision and Imaging

Cited by 356

Managing extreme AI risks amid rapid progress

Bengio, Y., Hinton, G., Yao, A., Song, D., Abbeel, P., Darrell, T., Harari, Y. N., Zhang, Y.-Q., Xue, L., Shalev-Shwartz, S., et al. (2024) · Science

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 349

Using fast weights to improve persistent contrastive divergence

Tieleman, T., & Hinton, G. (2009) · Proceedings of the 26th Annual International Conference on Machine Learning

Neural Networks and ApplicationsStochastic Gradient Optimization Techniques

Cited by 274

Robust and data-efficient generalization of self-supervised machine learning for diagnostic imaging

Azizi, S., Culp, L., Freyberg, J., Mustafa, B., Baur, S., Kornblith, S., Chen, T., Tomasev, N., Mitrović, J., Strachan, P., et al. (2023) · Nature Biomedical Engineering

Domain Adaptation and Few-Shot LearningArtificial Intelligence in Healthcare and Education

Cited by 250

On deep generative models with applications to recognition

Ranzato, M., Susskind, J., Mnih, V., & Hinton, G. (2011) · CVPR 2011

Face and Expression RecognitionAdvanced Neural Network Applications

Cited by 237

Learning a better representation of speech soundwaves using restricted boltzmann machines

Jaitly, N., & Hinton, G. (2011) · 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 231

Some Demonstrations of the Effects of Structural Descriptions in Mental Imagery*

Hinton, G. (1979) · Cognitive Science

Spatial Cognition and NavigationVisual perception and processing mechanisms

Cited by 221

Stacked capsule autoencoders

Kosiorek, A. R., Sabour, S., Teh, Y. W., & Hinton, G. E. (2019) · arXiv

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 163

Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

Chen, T., Zhang, R., & Hinton, G. (2022) · arXiv

Generative Adversarial Networks and Image SynthesisAdversarial Robustness in Machine Learning

Cited by 97

Split and merge em algorithm for improving gaussian mixture density estimates

Ueda, N., Nakano, R., Ghahramani, Z., & Hinton, G. E. (2002) · Neural Networks for Signal Processing VIII. Proceedings of the 1998 IEEE Signal Processing Society Workshop (Cat. No.98TH8378)

Bayesian Methods and Mixture ModelsAdvanced Clustering Algorithms Research

Cited by 23

International AI Safety Report

Bengio, Y., Mindermann, S., Privitera, D., Besiroglu, T., Bommasani, R., Casper, S., Choi, Y., Fox, P., Garfinkel, B., Goldfarb, D., et al. (2025) · arXiv

Ethics and Social Impacts of AISafety Systems Engineering in Autonomy

Cited by 16