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Greg Corrado
Greg Corrado
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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
455832013
Efficient estimation of word representations in vector space
T Mikolov
arXiv preprint arXiv:1301.3781 3781, 2013
446702013
TensorFlow: Large-scale machine learning on heterogeneous systems
M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ...
32043*2015
Google's neural machine translation system: Bridging the gap between human and machine translation
Y Wu
arXiv preprint arXiv:1609.08144, 2016
90712016
Large Scale Distributed Deep Networks
AYN Jeffrey Dean, Greg S. Corrado, Rajat Monga, Kai
Advances in Neural Information Processing Systems, 1232-1240, 2012
4984*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
42282016
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
34102019
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
33882013
Building high-level features using large scale unsupervised learning
QV Le
2013 IEEE international conference on acoustics, speech and signal ¡¦, 2013
31382013
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
26142020
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
24062017
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
23812018
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
19312023
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
18952019
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
17422019
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
16892018
Matching behavior and the representation of value in the parietal cortex
LP Sugrue, GS Corrado, WT Newsome
science 304 (5678), 1782-1787, 2004
12272004
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
11932010
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
11102013
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
8232018
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