🧑‍🔬 Geoffrey E. Hinton — all works

66 works · ← Geoffrey E. Hinton

1. Dropout: A Simple Way to Prevent Neural Networks from Overfitting ↗JMLR 15(56):1929–1958 · no summary yetNitish Srivastava et al.2014 · 34,422 citations
2. Reducing the Dimensionality of Data with Neural Networks ↗Science · no summary yetGeoffrey E. Hinton, Ruslan Salakhutdinov2006 · 21,029 citations
3. Distilling the Knowledge in a Neural NetworkarXiv:1503.02531Geoffrey Hinton, Oriol Vinyals, Jeff Dean2015 · 15,229 citations
4. Speech recognition with deep recurrent neural networks ↗IEEE International Conference on Acoustics Speech and Signal Processing · no summary yetAlex Graves, Abdelrahman Mohamed, Geoffrey E. Hinton2013 · 8,998 citations
5. A Simple Framework for Contrastive Learning of Visual RepresentationsarXiv:2002.05709Ting Chen, Simon Kornblith, Mohammad Norouzi, et al.2020 · 8,000 citations
6. Improving neural networks by preventing co-adaptation of feature detectors ↗arXiv:1207.0580 · no summary yetGeoffrey E. Hinton et al.2012 · 6,645 citations
7. ImageNet Classification with Deep Convolutional Neural NetworksNeurIPS 2012Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton2012 · 2,801 citations
8. Restricted Boltzmann machines for collaborative filtering ↗International Conference on Machine Learning · no summary yetRuslan Salakhutdinov, Andriy Mnih, Geoffrey E. Hinton2007 · 1,865 citations
9. Layer NormalizationarXiv:1607.06450Jimmy Lei Ba, Jamie Ryan Kiros, Geoffrey E. Hinton2016 · 1,819 citations
10. Deep Boltzmann machines ↗no summary yetRuslan Salakhutdinov, Geoffrey E. Hinton2009 · 1,728 citations
11. Neighbourhood Components Analysis ↗no summary yetJacob Goldberger et al.2004 · 1,676 citations
12. The Helmholtz Machine ↗Neural Computation · no summary yetPeter Dayan et al.1995 · 1,202 citations
13. Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer ↗arXiv:1701.06538 · no summary yetNoam Shazeer et al.2017 · 1,111 citations
14. Autoencoders, Minimum Description Length and Helmholtz Free Energy ↗no summary yetGeoffrey E. Hinton, Richard S. Zemel1993 · 1,073 citations
15. Grammar as a Foreign Language ↗arXiv:1412.7449 · no summary yetOriol Vinyals et al.2014 · 687 citations
16. Similarity of Neural Network Representations RevisitedarXiv:1905.00414Simon Kornblith, Mohammad Norouzi, Honglak Lee, et al.2019 · 679 citations
17. A Simple Way to Initialize Recurrent Networks of Rectified Linear Units ↗arXiv (Cornell University) · no summary yetQuoc Viet Le, Navdeep Jaitly, Geoffrey E. Hinton2015 · 571 citations
18. Regularizing Neural Networks by Penalizing Confident Output DistributionsarXiv:1701.06548Gabriel Pereyra, George Tucker, Jan Chorowski, et al.2017 · 496 citations
19. An Efficient Learning Procedure for Deep Boltzmann Machines ↗Neural Computation · no summary yetRuslan Salakhutdinov, Geoffrey E. Hinton2012 · 485 citations
20. Replicated Softmax: an Undirected Topic Model ↗neural information processing systems · no summary yetGeoffrey E. Hinton, Ruslan Salakhutdinov2009 · 443 citations
21. On rectified linear units for speech processing ↗IEEE International Conference on Acoustics Speech and Signal Processing · no summary yetMatthew D. Zeiler et al.2013 · 440 citations
22. Learning a Nonlinear Embedding by Preserving Class Neighbourhood Structure ↗no summary yetRuslan Salakhutdinov, Geoffrey E. Hinton2007 · 434 citations
23. Exponential Family Harmoniums with an Application to Information Retrieval ↗no summary yetMax Welling, Michal Rosen‐Zvi, Geoffrey E. Hinton2004 · 413 citations
24. Managing extreme AI risks amid rapid progress ↗Science · no summary yetYoshua Bengio et al.2024 · 382 citations
25. Lookahead Optimizer: k steps forward, 1 step back ↗arXiv (Cornell University) · no summary yetMichael R. Zhang et al.2019 · 380 citations
26. Factored conditional restricted Boltzmann Machines for modeling motion style ↗International Conference on Machine Learning · no summary yetGraham W. Taylor, Geoffrey E. Hinton2009 · 370 citations
27. Using fast weights to improve persistent contrastive divergence ↗International Conference on Machine Learning · no summary yetTijmen Tieleman, Geoffrey E. Hinton2009 · 281 citations
28. Attend, Infer, Repeat: Fast Scene Understanding with Generative Models ↗arXiv (Cornell University) · no summary yetS. M. Ali Eslami et al.2016 · 256 citations
29. Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes ↗neural information processing systems · no summary yetGeoffrey E. Hinton, Ruslan Salakhutdinov2007 · 178 citations
30. Using Fast Weights to Attend to the Recent Past ↗arXiv (Cornell University) · no summary yetJimmy Lei Ba et al.2016 · 168 citations
31. Robust Boltzmann Machines for recognition and denoising ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetYichuan Tang, Ruslan Salakhutdinov, Geoffrey E. Hinton2012 · 168 citations
32. Unsupervised Discovery of Nonlinear Structure Using Contrastive Backpropagation ↗Cognitive Science · no summary yetGeoffrey E. Hinton et al.2006 · 135 citations
33. Learning Sparse Topographic Representations with Products of Student-t Distributions ↗neural information processing systems · no summary yetMax Welling, Simon Osindero, Geoffrey E. Hinton2002 · 132 citations
34. Topographic Product Models Applied to Natural Scene Statistics ↗Neural Computation · no summary yetSimon Osindero, Max Welling, Geoffrey E. Hinton2005 · 108 citations
35. A Better Way to Pretrain Deep Boltzmann Machines ↗neural information processing systems · no summary yetGeoffrey E. Hinton, Ruslan Salakhutdinov2012 · 105 citations
36. Discovering Binary Codes for Documents by Learning Deep Generative Models ↗Topics in Cognitive Science · no summary yetGeoffrey E. Hinton, Ruslan Salakhutdinov2010 · 101 citations
37. Modeling documents with a Deep Boltzmann Machine ↗no summary yetNitish Srivastava, Ruslan Salakhutdinov, Geoffrey E. Hinton2013 · 96 citations
38. A New Learning Algorithm for Mean Field Boltzmann Machines ↗Lecture notes in computer science · no summary yetMax Welling, Geoffrey E. Hinton2002 · 70 citations
39. Generative versus discriminative training of RBMs for classification of fMRI images ↗no summary yetTanya Schmah et al.2008 · 69 citations
40. Deep Lambertian Networks ↗arXiv (Cornell University) · no summary yetYichuan Tang, Ruslan Salakhutdinov, Geoffrey E. Hinton2012 · 66 citations
41. Modeling Documents with Deep Boltzmann Machines ↗arXiv (Cornell University) · no summary yetNitish Srivastava, Ruslan Salakhutdinov, Geoffrey E. Hinton2013 · 63 citations
42. Energy-Based Models for Sparse Overcomplete Representations ↗no summary yetYee Whye Teh et al.2003 · 53 citations
43. Detecting and Diagnosing Adversarial Images with Class-Conditional Capsule Reconstructions ↗arXiv (Cornell University) · no summary yetYao Qin et al.2019 · 52 citations
44. Learning Population Codes by Minimizing Description Length ↗Neural Computation · no summary yetRichard S. Zemel, Geoffrey E. Hinton1995 · 48 citations
45. Comparing Classification Methods for Longitudinal fMRI Studies ↗Neural Computation · no summary yetTanya Schmah et al.2010 · 40 citations
46. Self Supervised Boosting ↗no summary yetMax Welling, Richard S. Zemel, Geoffrey E. Hinton2002 · 35 citations
47. Deep Mixtures of Factor Analysers ↗arXiv (Cornell University) · no summary yetYichuan Tang, Ruslan Salakhutdinov, Geoffrey E. Hinton2012 · 33 citations
48. Discovering Viewpoint-Invariant Relationships That Characterize Objects ↗no summary yetRichard S. Zemel, Geoffrey E. Hinton1990 · 30 citations
49. A Mode-Hopping MCMC sampler ↗no summary yetCristian Sminchisescu, Max Welling, Geoffrey E. Hinton2003 · 19 citations
50. Learning population coes by minimizing description length ↗no summary yetRichard S. Zemel, Geoffrey E. Hinton1999 · 17 citations
51. Deflecting Adversarial Attacks ↗arXiv (Cornell University) · no summary yetYao Qin et al.2020 · 13 citations
52. A New View of ICA ↗no summary yetGeoffrey E. Hinton et al.2001 · 13 citations
53. Wormholes Improve Contrastive Divergence ↗no summary yetMax Welling, Andriy Mnih, Geoffrey E. Hinton2003 · 12 citations
54. Probabilistic Sequential Independent Components Analysis ↗IEEE Transactions on Neural Networks · no summary yetMax Welling, Richard S. Zemel, Geoffrey E. Hinton2004 · 10 citations
55. Efficient Parametric Projection Pursuit Density Estimation ↗arXiv (Cornell University) · no summary yetMax Welling, Richard S. Zemel, Geoffrey E. Hinton2012 · 5 citations
56. Learning Population Codes by Minimizing Description Length ↗The MIT Press eBooks · no summary yetRichard S. Zemel, Geoffrey E. Hinton1999 · 3 citations
57. Fast Inference and Learning for Modeling Documents with a Deep Boltzmann Machine ↗no summary yetNitish Srivastava, Ruslan Salakhutdinov, Geoffrey E. Hinton2013 · 1 citation
58. Approximate Contrastive Free Energies for Learning in Undirected Graphical Models ↗no summary yetMax Welling, Geoffrey E. Hinton2001 · 1 citation
59. Learning and Evaluaing Deep Bolztmann Machines ↗no summary yetRuslan Salakhutdinov, Geoffrey E. Hinton2012
60. This PDF file includes: Materials and Methods ↗no summary yetGeoffrey E. Hinton et al.2009
61. Generative versus discriminative training of RBMs for classification ↗no summary yetTanya Schmah et al.2009
62. A New View of ICA ↗no summary yetGeoffrey E. Hinton et al.2008
63. DRAFT. A revised version will appear in NIPS 2007. Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes ↗no summary yetRuslan Salakhutdinov, Geoffrey E. Hinton2008
64. Exponential family harmoniums with an . . . ↗no summary yetMax Welling, Michal Rosen‐Zvi, Geoffrey E. Hinton2008
65. Learning Sparse Topographic . . . ↗no summary yetMax Welling, Geoffrey E. Hinton, Simon Osindero2008
66. Developing Population Codes For ↗no summary yetRichard S. Zemel, Geoffrey E. Hinton1993

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