Nathan Silberman

Artaic (United States) — United States

Computer Science · Physical Sciences

16h-index10.4kcitations23works7.02yr avg
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Research Topics

Generative Adversarial Networks and Image Synthesis(8), Domain Adaptation and Few-Shot Learning(6), Advanced Neural Network Applications(5), Advanced Vision and Imaging(5), Anomaly Detection Techniques and Applications(4)

Publications23 total

Analytical Validation of a Clinical Grade Prognostic and Classification Artificial Intelligence Laboratory Test for Men with Prostate Cancer
AI in Precision Oncology·2024· 7 cited
Discrepancy Ratio: Evaluating Model Performance When Even Experts Disagree on the Truth
International Conference on Learning Representations·2020· 5 cited
Learning From Noisy Labels by Regularized Estimation of Annotator Confusion
2019· 237 cited
The Devil is in the Decoder: Classification, Regression and GANs
International Journal of Computer Vision·2019· 64 cited
Learning From Noisy Labels By Regularized Estimation Of Annotator Confusion
arXiv (Cornell University)·2019· 31 citedOpen Access
ExplainGAN: Model Explanation via Decision Boundary Crossing Transformations
Lecture notes in computer science·2018· 47 cited
TF-Slim: A Lightweight Library for Defining, Training and Evaluating Complex Models in TensorFlow
SMARTech Repository (Georgia Institute of Technology)·2017· 14 cited
The Devil is in the Decoder: Classification, Regression and GANs
arXiv (Cornell University)·2017· 9 citedOpen Access
Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks
2017· 1.6k cited
The Devil is in the Decoder
2017· 32 citedOpen Access
The Devil is in the Decoders
2017· 2 cited
Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks
arXiv (Cornell University)·2016· 72 citedOpen Access
Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial\n Networks
arXiv (Cornell University)·2016· 7 citedOpen Access
Domain Separation Networks
arXiv (Cornell University)·2016· 765 citedOpen Access
Domain Separation Networks
arXiv (Cornell University)·2016· 587 citedOpen Access
Im2Calories: Towards an Automated Mobile Vision Food Diary
2015· 486 cited
A Contour Completion Model for Augmenting Surface Reconstructions
Lecture notes in computer science·2014· 42 citedOpen Access
Instance Segmentation of Indoor Scenes Using a Coverage Loss
Lecture notes in computer science·2014· 87 cited
Indoor Segmentation and Support Inference from RGBD Images
Lecture notes in computer science·2012· 5.5k cited
Indoor scene segmentation using a structured light sensor
2011· 483 cited
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Frequent Co-authors

Konstantinos Bousmalis(5), Dumitru Erhan(5), Dilip Krishnan(5), Sergio Guadarrama(5), Rob Fergus(4), Ardavan Saeedi(4), Zbigniew Wojna(4), Vittorio Ferrari(4), Liang-Chieh Chen(4), Alireza Fathi(4), Jasper Uijlings(4), Swami Sankaranarayanan(3), Pushmeet Kohli(2), David Dohan(2), George Trigeorgis(2), Ryutaro Tanno(2), Daniel C. Alexander(2), Lakshminarayanan Subramanian(2), Pouya Samangouei(2), Derek Hoiem(1)