Concepedia

Nathan Silberman

NS

13

Publications

4.7K

Citations

13

H-Index

2009

Active since

Affiliations

Google (United States)(Current)

Google (United Kingdom)

University College London

New York University

Imperial College London

Nathan Silberman is an author at Google (United States) specializing in engineering, data science, and deep learning.

Top concepts

EngineeringData ScienceDeep LearningMachine LearningImage AnalysisMachine VisionComputer VisionComputer ScienceKnowledge DiscoveryPattern Recognition

Publications per year

2009–2019

13

Publications

13

Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks

Konstantinos Bousmalis, Nathan Silberman, David Dohan et al. · 2017 · 1.6K citations

Target Domain, Engineering, Machine Learning +18

Domain Separation Networks

Konstantinos Bousmalis, George Trigeorgis, Nathan Silberman et al. · arXiv (Cornell University) · 2016 · 765 citations · Full text

Source Separation, Few-shot Learning, Engineering +18

Domain Separation Networks

Konstantinos Bousmalis, George Trigeorgis, Nathan Silberman et al. · arXiv (Cornell University) · 2016 · 588 citations · Full text

Source Separation, Few-shot Learning, Engineering +18

Im2Calories: Towards an Automated Mobile Vision Food Diary

Austin Myers, Nick Johnston, Vivek Rathod et al. · 2015 · 485 citations

Food Choice, Nutrition, Mobile Sensing +12

Indoor scene segmentation using a structured light sensor

Nathan Silberman, Rob Fergus · 2011 · 483 citations

Microsoft Kinect, Scene Analysis, Accurate Depth Maps +17

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