Búsqueda | BVS CLAP/SMR-OPS/OMS

1.

Backpropagation and the brain.

Lillicrap, Timothy P; Santoro, Adam; Marris, Luke; Akerman, Colin J; Hinton, Geoffrey.

Nat Rev Neurosci ; 21(6): 335-346, 2020 06.

Artículo en Inglés | MEDLINE | ID: mdl-32303713

2.

How to Represent Part-Whole Hierarchies in a Neural Network.

Hinton, Geoffrey.

Neural Comput ; 35(3): 413-452, 2023 Feb 17.

Artículo en Inglés | MEDLINE | ID: mdl-36543334

3.

Deep learning.

LeCun, Yann; Bengio, Yoshua; Hinton, Geoffrey.

Nature ; 521(7553): 436-44, 2015 May 28.

Artículo en Inglés | MEDLINE | ID: mdl-26017442

4.

Managing extreme AI risks amid rapid progress.

Bengio, Yoshua; Hinton, Geoffrey; Yao, Andrew; Song, Dawn; Abbeel, Pieter; Darrell, Trevor; Harari, Yuval Noah; Zhang, Ya-Qin; Xue, Lan; Shalev-Shwartz, Shai; Hadfield, Gillian; Clune, Jeff; Maharaj, Tegan; Hutter, Frank; Baydin, Atilim Günes; McIlraith, Sheila; Gao, Qiqi; Acharya, Ashwin; Krueger, David; Dragan, Anca; Torr, Philip; Russell, Stuart; Kahneman, Daniel; Brauner, Jan; Mindermann, Sören.

Science ; 384(6698): 842-845, 2024 May 24.

Artículo en Inglés | MEDLINE | ID: mdl-38768279

5.

Deep Learning-A Technology With the Potential to Transform Health Care.

Hinton, Geoffrey.

JAMA ; 320(11): 1101-1102, 2018 Sep 18.

Artículo en Inglés | MEDLINE | ID: mdl-30178065

6.

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

Azizi, Shekoofeh; Culp, Laura; Freyberg, Jan; Mustafa, Basil; Baur, Sebastien; Kornblith, Simon; Chen, Ting; Tomasev, Nenad; Mitrovic, Jovana; Strachan, Patricia; Mahdavi, S Sara; Wulczyn, Ellery; Babenko, Boris; Walker, Megan; Loh, Aaron; Chen, Po-Hsuan Cameron; Liu, Yuan; Bavishi, Pinal; McKinney, Scott Mayer; Winkens, Jim; Roy, Abhijit Guha; Beaver, Zach; Ryan, Fiona; Krogue, Justin; Etemadi, Mozziyar; Telang, Umesh; Liu, Yun; Peng, Lily; Corrado, Greg S; Webster, Dale R; Fleet, David; Hinton, Geoffrey; Houlsby, Neil; Karthikesalingam, Alan; Norouzi, Mohammad; Natarajan, Vivek.

Nat Biomed Eng ; 7(6): 756-779, 2023 06.

Artículo en Inglés | MEDLINE | ID: mdl-37291435

7.

An efficient learning procedure for deep Boltzmann machines.

Salakhutdinov, Ruslan; Hinton, Geoffrey.

Neural Comput ; 24(8): 1967-2006, 2012 Aug.

Artículo en Inglés | MEDLINE | ID: mdl-22509963

8.

Learning to represent spatial transformations with factored higher-order Boltzmann machines.

Memisevic, Roland; Hinton, Geoffrey E.

Neural Comput ; 22(6): 1473-92, 2010 Jun.

Artículo en Inglés | MEDLINE | ID: mdl-20141471

9.

Comparing classification methods for longitudinal fMRI studies.

Schmah, Tanya; Yourganov, Grigori; Zemel, Richard S; Hinton, Geoffrey E; Small, Steven L; Strother, Stephen C.

Neural Comput ; 22(11): 2729-62, 2010 Nov.

Artículo en Inglés | MEDLINE | ID: mdl-20804386

10.

Learning multiple layers of representation.

Hinton, Geoffrey E.

Trends Cogn Sci ; 11(10): 428-34, 2007 Oct.

Artículo en Inglés | MEDLINE | ID: mdl-17921042

11.

To recognize shapes, first learn to generate images.

Hinton, Geoffrey E.

Prog Brain Res ; 165: 535-47, 2007.

Artículo en Inglés | MEDLINE | ID: mdl-17925269

12.

Unsupervised discovery of nonlinear structure using contrastive backpropagation.

Hinton, Geoffrey; Osindero, Simon; Welling, Max; Teh, Yee-Whye.

Cogn Sci ; 30(4): 725-31, 2006 Jul 08.

Artículo en Inglés | MEDLINE | ID: mdl-21702832

13.

Improving dimensionality reduction with spectral gradient descent.

Memisevic, Roland; Hinton, Geoffrey.

Neural Netw ; 18(5-6): 702-10, 2005.

Artículo en Inglés | MEDLINE | ID: mdl-16112551

14.

Adaptive Mixtures of Local Experts.

Jacobs, Robert A; Jordan, Michael I; Nowlan, Steven J; Hinton, Geoffrey E.

Neural Comput ; 3(1): 79-87, 1991.

Artículo en Inglés | MEDLINE | ID: mdl-31141872

15.

Probabilistic sequential independent components analysis.

Welling, Max; Zemel, Richard S; Hinton, Geoffrey E.

IEEE Trans Neural Netw ; 15(4): 838-49, 2004 Jul.

Artículo en Inglés | MEDLINE | ID: mdl-15461077

16.

Where do features come from?

Hinton, Geoffrey.

Cogn Sci ; 38(6): 1078-101, 2014 Aug.

Artículo en Inglés | MEDLINE | ID: mdl-23800216

17.

Modeling natural images using gated MRFs.

Ranzato, Marc'Aurelio; Mnih, Volodymyr; Susskind, Joshua M; Hinton, Geoffrey E.

IEEE Trans Pattern Anal Mach Intell ; 35(9): 2206-22, 2013 Sep.

Artículo en Inglés | MEDLINE | ID: mdl-23868780

18.

Discovering binary codes for documents by learning deep generative models.

Hinton, Geoffrey; Salakhutdinov, Ruslan.

Top Cogn Sci ; 3(1): 74-91, 2011 Jan.

Artículo en Inglés | MEDLINE | ID: mdl-25164175

19.

Learning to represent visual input.

Hinton, Geoffrey E.

Philos Trans R Soc Lond B Biol Sci ; 365(1537): 177-84, 2010 Jan 12.

Artículo en Inglés | MEDLINE | ID: mdl-20008395

20.

Temporal-kernel recurrent neural networks.

Sutskever, Ilya; Hinton, Geoffrey.

Neural Netw ; 23(2): 239-43, 2010 Mar.

Artículo en Inglés | MEDLINE | ID: mdl-19932002

BVS CLAP/SMR-OPS/OMS

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Backpropagation and the brain.

How to Represent Part-Whole Hierarchies in a Neural Network.

Deep learning.

Managing extreme AI risks amid rapid progress.

Deep Learning-A Technology With the Potential to Transform Health Care.

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

An efficient learning procedure for deep Boltzmann machines.

Learning to represent spatial transformations with factored higher-order Boltzmann machines.

Comparing classification methods for longitudinal fMRI studies.

Learning multiple layers of representation.

To recognize shapes, first learn to generate images.

Unsupervised discovery of nonlinear structure using contrastive backpropagation.

Improving dimensionality reduction with spectral gradient descent.

Adaptive Mixtures of Local Experts.

Probabilistic sequential independent components analysis.

Where do features come from?

Modeling natural images using gated MRFs.

Discovering binary codes for documents by learning deep generative models.

Learning to represent visual input.

Temporal-kernel recurrent neural networks.