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Greg Corrado
Greg Corrado
Google Research
Подтвержден адрес электронной почты в домене google.com
Название
Процитировано
Процитировано
Год
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
451622013
Efficient estimation of word representations in vector space
T Mikolov
arXiv preprint arXiv:1301.3781, 2013
441252013
TensorFlow: Large-scale machine learning on heterogeneous systems
M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ...
31642*2015
Google’s neural machine translation system: Bridging the gap between human and machine translation
Y Wu
arXiv preprint arXiv:1609.08144, 2016
89662016
Large Scale Distributed Deep Networks
AYN Jeffrey Dean, Greg S. Corrado, Rajat Monga, Kai
Advances in Neural Information Processing Systems, 1232-1240, 2012
4945*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
41562016
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
33582013
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
32932019
Building high-level features using large scale unsupervised learning
QV Le
2013 IEEE international conference on acoustics, speech and signal …, 2013
31252013
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
25442020
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
23802017
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
23202018
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
18422019
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
17262023
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
16772019
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
16642018
Matching behavior and the representation of value in the parietal cortex
LP Sugrue, GS Corrado, WT Newsome
science 304 (5678), 1782-1787, 2004
12202004
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
11842010
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
11082013
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
7892018
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