| Systems and Methods for Contrastive Learning of Visual Representations T Chen, S Komblith, M Norouzi, GE Hinton, KJ Swersky US Patent App. 18/960,623, 2025 | | 2025 |
| GENERATING DISCRETE DATA USING DIFFUSION NEURAL NETWORKS T Chen, R Zhang, GE Hinton US Patent App. 18/366,638, 2025 | | 2025 |
| International AI Safety Report Y Bengio, S Mindermann, D Privitera, T Besiroglu, R Bommasani, ... arXiv preprint arXiv:2501.17805, 2025 | 11 | 2025 |
| System and method for parallelizing convolutional neural networks A Krizhevsky, I Sutskever, GE Hinton US Patent App. 18/438,368, 2024 | | 2024 |
| Object discovery in images through categorizing object parts AR Kosiorek, GE Hinton, SSR Aghdam, YW Teh US Patent 12,067,758, 2024 | | 2024 |
| Managing extreme AI risks amid rapid progress Y Bengio, G Hinton, A Yao, D Song, P Abbeel, T Darrell, YN Harari, ... Science 384 (6698), 842-845, 2024 | 209 | 2024 |
| Convex representation of objects using neural network B Deng, K Genova, S Yazdani, S Bouaziz, GE Hinton, A Tagliasacchi US Patent 11,978,268, 2024 | | 2024 |
| Training distilled machine learning models O Vinyals, JA Dean, GE Hinton US Patent App. 18/399,358, 2024 | | 2024 |
| Neural network training using the soft nearest neighbor loss GE Hinton, NMW Frosst, NGR Papernot US Patent 11,941,867, 2024 | | 2024 |
| System and method for parallelizing convolutional neural networks A Krizhevsky, I Sutskever, GE Hinton US Patent 11,928,577, 2024 | 1 | 2024 |
| Training distilled machine learning models O Vinyals, JA Dean, GE Hinton US Patent 11,900,232, 2024 | | 2024 |
| Will digital intelligence replace biological intelligence G Hinton Romanes Lecture, Oxford, UK 19, 2024 | 11 | 2024 |
| Systems and methods for contrastive learning of visual representations T Chen, GE Hinton, S Kornblith, M Norouzi US Patent 11,847,571, 2023 | 1 | 2023 |
| System and method for addressing overfitting in a neural network GE Hinton, A Krizhevsky, I Sutskever, N Srivastava US Patent 11,829,882, 2023 | | 2023 |
| Systems and Methods for Contrastive Learning of Visual Representations T Chen, S Komblith, M Norouzi, GE Hinton, KJ Swersky US Patent App. 18/343,579, 2023 | | 2023 |
| Managing ai risks in an era of rapid progress Y Bengio, G Hinton, A Yao, D Song, P Abbeel, YN Harari, YQ Zhang, ... arXiv preprint arXiv:2310.17688, 18, 2023 | 101 | 2023 |
| Capsule neural networks GE Hinton, NMW Frosst, SSR Aghdam US Patent 11,694,060, 2023 | | 2023 |
| Robust and data-efficient generalization of self-supervised machine learning for diagnostic imaging S Azizi, L Culp, J Freyberg, B Mustafa, S Baur, S Kornblith, T Chen, ... Nature Biomedical Engineering 7 (6), 756-779, 2023 | 168 | 2023 |
| Statement on AI risk G Hinton, Y Bengio, D Hassabis, S Altman, D Amodei, D Song, T Lieu, ... Center for AI safety 31 (5), 2023, 2023 | 8 | 2023 |
| Sequence modeling using imputation W Chan, C Saharia, GE Hinton, M Norouzi, N Jaitly US Patent App. 17/797,872, 2023 | | 2023 |
George E. DahlGoogle Inc.Verified email at google.com
Terrence SejnowskiFrancis Crick Professor, Salk Institute, Distingished Professor, UC San DiegoVerified email at salk.edu
Vinod NairResearch Scientist, DeepMindVerified email at google.comAbdelrahman MohamedResearch scientist, Facebook AI ResearchVerified email at fb.com
Radford NealU Toronto *** GOOGLE SCHOLAR CAN GIVE WRONG PUBLICATION DATE/REFERENCE - LOOK AT ACTUAL PAPER/BOOK!Verified email at utstat.toronto.edu
Sidney FelsProfessor of Electrical and Computer Engineering, University of British ColumbiaVerified email at ece.ubc.ca
David C. PlautProfessor of Psychology, Carnegie Mellon UniversityVerified email at cmu.edu
Demetri TerzopoulosDistinguished Professor & Chancellor's Professor of Computer Science, UCLAVerified email at cs.ucla.edu
Robert TibshiraniProfessor of Biomedical Data Sciences, and of Statistics, Stanford UniversityVerified email at stanford.edu
