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Josh Levenberg

dblp:177/9198 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Software engineering, systems software and programming languages · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Efficient and distributed learning · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Distributed systems · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Efficient and distributed learning
large-scale learning		 0.212016
TensorFlow: A System for Large-Scale Machine Learning · OSDI 2016
Distributed systems
large-scale machine learning systems		 0.212016
TensorFlow: A System for Large-Scale Machine Learning · OSDI 2016

Methods — techniques the papers use, named apart from their topics

data flow graphs · 0.2data flow graph · 0.2
YearPublicationVenuePosition
2016 TensorFlow: A System for Large-Scale Machine Learning
Martín Abadi, Paul Barham 0001, Jianmin Chen, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Geoffrey Irving, Michael Isard, Manjunath Kudlur, Josh Levenberg, Rajat Monga, Sherry Moore, Derek Gordon Murray, Benoit Steiner, Paul A. Tucker, Vijay Vasudevan, Pete Warden, Martin Wicke, Xiaoqiang Zheng
 OSDI12