Nathan Silberman

Publication Activity (10 Years)

Years Active: 2009-2020
Publications (10 Years): 11

Top Topics

Domain Adaptation

Top Venues

Publications

Igor Lovchinsky, Alon Daks, Israel Malkin, Pouya Samangouei, Ardavan Saeedi, Yang Liu, Swami Sankaranarayanan, Tomer Gafner, Ben Sternlieb, Patrick Maher, Nathan Silberman
Discrepancy Ratio: Evaluating Model Performance When Even Experts Disagree on the Truth. ICLR (2020)
Ryutaro Tanno, Ardavan Saeedi, Swami Sankaranarayanan, Daniel C. Alexander, Nathan Silberman
Learning From Noisy Labels By Regularized Estimation Of Annotator Confusion. CoRR (2019)
Ryutaro Tanno, Ardavan Saeedi, Swami Sankaranarayanan, Daniel C. Alexander, Nathan Silberman
Learning From Noisy Labels by Regularized Estimation of Annotator Confusion. CVPR (2019)
Zbigniew Wojna, Vittorio Ferrari, Sergio Guadarrama, Nathan Silberman, Liang-Chieh Chen, Alireza Fathi, Jasper R. R. Uijlings
The Devil is in the Decoder: Classification, Regression and GANs. Int. J. Comput. Vis. 127 (11-12) (2019)
Pouya Samangouei, Ardavan Saeedi, Liam Nakagawa, Nathan Silberman
ExplainGAN: Model Explanation via Decision Boundary Crossing Transformations. ECCV (10) (2018)
Konstantinos Bousmalis, Nathan Silberman, David Dohan, Dumitru Erhan, Dilip Krishnan
Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks. CVPR (2017)
Zbigniew Wojna, Vittorio Ferrari, Sergio Guadarrama, Nathan Silberman, Liang-Chieh Chen, Alireza Fathi, Jasper R. R. Uijlings
The Devil is in the Decoder. CoRR (2017)
Zbigniew Wojna, Jasper R. R. Uijlings, Sergio Guadarrama, Nathan Silberman, Liang-Chieh Chen, Alireza Fathi, Vittorio Ferrari
The Devil is in the Decoder. BMVC (2017)
Konstantinos Bousmalis, George Trigeorgis, Nathan Silberman, Dilip Krishnan, Dumitru Erhan
Domain Separation Networks. NIPS (2016)
Konstantinos Bousmalis, George Trigeorgis, Nathan Silberman, Dilip Krishnan, Dumitru Erhan
Domain Separation Networks. CoRR (2016)
Konstantinos Bousmalis, Nathan Silberman, David Dohan, Dumitru Erhan, Dilip Krishnan
Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks. CoRR (2016)
Austin Myers, Nick Johnston, Vivek Rathod, Anoop Korattikara, Alexander N. Gorban, Nathan Silberman, Sergio Guadarrama, George Papandreou, Jonathan Huang, Kevin Murphy
Im2Calories: Towards an Automated Mobile Vision Food Diary. ICCV (2015)
Nathan Silberman, Lior Shapira, Ran Gal, Pushmeet Kohli
A Contour Completion Model for Augmenting Surface Reconstructions. ECCV (3) (2014)
Nathan Silberman, David A. Sontag, Rob Fergus
Instance Segmentation of Indoor Scenes Using a Coverage Loss. ECCV (1) (2014)
Nathan Silberman, Derek Hoiem, Pushmeet Kohli, Rob Fergus
Indoor Segmentation and Support Inference from RGBD Images. ECCV (5) (2012)
Nathan Silberman, Rob Fergus
Indoor scene segmentation using a structured light sensor. ICCV Workshops (2011)
Nathan Silberman, Kristy Ahrlich, Rob Fergus, Lakshminarayanan Subramanian
Case for Automated Detection of Diabetic Retinopathy. AAAI Spring Symposium: Artificial Intelligence for Development (2010)
Gideon Mann, Ryan T. McDonald, Mehryar Mohri, Nathan Silberman, Dan Walker
Efficient Large-Scale Distributed Training of Conditional Maximum Entropy Models. NIPS (2009)