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Greg Corrado
Greg Corrado
Google Research
Dirección de correo verificada de google.com
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Año
Distributed representations of words and phrases and their compositionality
T Mikolov, I Sutskever, K Chen, GS Corrado, J Dean
Advances in neural information processing systems 26, 2013
465402013
Efficient estimation of word representations in vector space
T Mikolov
arXiv preprint arXiv:1301.3781 3781, 2013
461852013
TensorFlow: Large-scale machine learning on heterogeneous systems
M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ...
33008*2015
Google's neural machine translation system: Bridging the gap between human and machine translation
Y Wu
arXiv preprint arXiv:1609.08144, 2016
93312016
Large Scale Distributed Deep Networks
AYN Jeffrey Dean, Greg S. Corrado, Rajat Monga, Kai
Advances in Neural Information Processing Systems, 1232-1240, 2012
5116*2012
Wide & deep learning for recommender systems
HT Cheng, L Koc, J Harmsen, T Shaked, T Chandra, H Aradhye, ...
Proceedings of the 1st workshop on deep learning for recommender systems, 7-10, 2016
44022016
A guide to deep learning in healthcare
A Esteva, A Robicquet, B Ramsundar, V Kuleshov, M DePristo, K Chou, ...
Nature medicine 25 (1), 24-29, 2019
37662019
Devise: A deep visual-semantic embedding model
A Frome, GS Corrado, J Shlens, S Bengio, J Dean, MA Ranzato, ...
Advances in neural information processing systems 26, 2013
34722013
Building high-level features using large scale unsupervised learning
QV Le
2013 IEEE international conference on acoustics, speech and signal …, 2013
31802013
International evaluation of an AI system for breast cancer screening
SM McKinney, M Sieniek, V Godbole, J Godwin, N Antropova, H Ashrafian, ...
Nature 577 (7788), 89-94, 2020
28592020
Scalable and accurate deep learning with electronic health records
A Rajkomar, E Oren, K Chen, AM Dai, N Hajaj, M Hardt, PJ Liu, X Liu, ...
NPJ digital medicine 1 (1), 1-10, 2018
25432018
Google’s multilingual neural machine translation system: Enabling zero-shot translation
M Johnson, M Schuster, QV Le, M Krikun, Y Wu, Z Chen, N Thorat, ...
Transactions of the Association for Computational Linguistics 5, 339-351, 2017
24532017
Large language models encode clinical knowledge
K Singhal, S Azizi, T Tu, SS Mahdavi, J Wei, HW Chung, N Scales, ...
Nature 620 (7972), 172-180, 2023
23012023
End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography
D Ardila, AP Kiraly, S Bharadwaj, B Choi, JJ Reicher, L Peng, D Tse, ...
Nature medicine 25 (6), 954-961, 2019
20092019
Key challenges for delivering clinical impact with artificial intelligence
CJ Kelly, A Karthikesalingam, M Suleyman, G Corrado, D King
BMC medicine 17, 1-9, 2019
19002019
Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning
R Poplin, AV Varadarajan, K Blumer, Y Liu, MV McConnell, GS Corrado, ...
Nature biomedical engineering 2 (3), 158-164, 2018
17582018
Matching behavior and the representation of value in the parietal cortex
LP Sugrue, GS Corrado, WT Newsome
science 304 (5678), 1782-1787, 2004
12322004
Stimulus onset quenches neural variability: a widespread cortical phenomenon
MM Churchland, BM Yu, JP Cunningham, LP Sugrue, MR Cohen, ...
Nature neuroscience 13 (3), 369-378, 2010
12132010
Zero-shot learning by convex combination of semantic embeddings
M Norouzi, T Mikolov, S Bengio, Y Singer, J Shlens, A Frome, GS Corrado, ...
arXiv preprint arXiv:1312.5650, 2013
11292013
Ensuring fairness in machine learning to advance health equity
A Rajkomar, M Hardt, MD Howell, G Corrado, MH Chin
Annals of internal medicine 169 (12), 866-872, 2018
9042018
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