D-Index & Metrics Best Publications

Greg Corrado

Google (United States)
United States

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name Citations Publications World Ranking National Ranking

Computer Science D-index 46 Citations 91,454 97 World Ranking 4284 National Ranking 2151

Overview

What is he best known for?

The fields of study Greg S. Corrado is best known for:

Linguistics
Machine translation
Artificial intelligence

Greg S. Corrado focuses mostly in the field of Simple (philosophy), narrowing it down to matters related to Epistemology and, in some cases, Principle of compositionality and Quality (philosophy). In his works, Greg S. Corrado conducts interdisciplinary research on Principle of compositionality and Linguistics. Linguistics is closely attributed to Word (group theory) in his research. His Geometry research extends to Word (group theory), which is thematically connected. His Geometry study frequently draws connections to adjacent fields such as Vector space. Greg S. Corrado integrates Vector space with Image (mathematics) in his study. His research links Similarity (geometry) with Image (mathematics). Many of his studies on Quality (philosophy) apply to Epistemology as well. He performs multidisciplinary study on Artificial intelligence and Human–computer interaction in his works.

His most cited work include:

Efficient Estimation of Word Representations in Vector Space (6727 citations)
Distributed Representations of Words and Phrases and their Compositionality (2570 citations)
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation (2433 citations)

What are the main themes of his work throughout his whole career to date

His studies examine the connections between Economic growth and genetics, as well as such issues in Health care, with regards to Law. As part of his studies on Law, he frequently links adjacent subjects like Harm. He incorporates a variety of subjects into his writings, including Computer security, Security token and Operating system. While working on this project, he studies both Operating system and Computer security. He performs integrative Artificial intelligence and Test set research in his work. He conducts interdisciplinary study in the fields of Machine learning and Statistics through his works. He combines Statistics and Machine learning in his research. His study on Linguistics is mostly dedicated to connecting different topics, such as Feature (linguistics). His Feature (linguistics) study frequently draws connections between adjacent fields such as Linguistics.

Greg S. Corrado most often published in these fields:

Artificial intelligence (83.33%)
Machine learning (29.17%)
Linguistics (29.17%)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Distributed Representations of Words and Phrases and their Compositionality

Tomas Mikolov;Ilya Sutskever;Kai Chen;Greg S Corrado.
neural information processing systems (2013)

29094 Citations

Efficient Estimation of Word Representations in Vector Space

Tomas Mikolov;Kai Chen;Greg S. Corrado;Jeffrey Dean.
international conference on learning representations (2013)

19833 Citations

TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

Martín Abadi;Ashish Agarwal;Paul Barham;Eugene Brevdo.
arXiv: Distributed, Parallel, and Cluster Computing (2015)

10002 Citations

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Yonghui Wu;Mike Schuster;Zhifeng Chen;Quoc V. Le.
arXiv: Computation and Language (2016)

6467 Citations

Large Scale Distributed Deep Networks

Jeffrey Dean;Greg Corrado;Rajat Monga;Kai Chen.
neural information processing systems (2012)

3666 Citations

Building high-level features using large scale unsupervised learning

Marc'aurelio Ranzato;Rajat Monga;Matthieu Devin;Kai Chen.
international conference on machine learning (2012)

2705 Citations

DeViSE: A Deep Visual-Semantic Embedding Model

Andrea Frome;Greg S Corrado;Jon Shlens;Samy Bengio.
neural information processing systems (2013)

2237 Citations

Wide & Deep Learning for Recommender Systems

Heng-Tze Cheng;Levent Koc;Jeremiah Harmsen;Tal Shaked.
conference on recommender systems (2016)

2122 Citations

A guide to deep learning in healthcare.

Andre Esteva;Alexandre Robicquet;Bharath Ramsundar;Volodymyr Kuleshov.
Nature Medicine (2019)

1455 Citations

Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation

Melvin Johnson;Mike Schuster;Quoc V. Le;Maxim Krikun.
Transactions of the Association for Computational Linguistics (2017)

1309 Citations

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Frequent Co-Authors

External Links

Personal Website for Greg Corrado