Nathan Silberman

19 papers A* 4A 1Journal 5Unranked 8
YearRankTypeTitle / Venue / Authors
2020 A* conf
Discrepancy Ratio: Evaluating Model Performance When Even Experts Disagree on the Truth.
ICLR
Igor Lovchinsky, Alon Daks, Israel Malkin, Pouya Samangouei, Ardavan Saeedi, Yang Liu, Swami Sankaranarayanan, Tomer Gafner, Ben Sternlieb, Patrick Maher, Nathan Silberman
2019 J jnl
Learning From Noisy Labels By Regularized Estimation Of Annotator Confusion.
CoRR
Ryutaro Tanno, Ardavan Saeedi, Swami Sankaranarayanan, Daniel C. Alexander, Nathan Silberman
2019 A* conf
Learning From Noisy Labels by Regularized Estimation of Annotator Confusion.
CVPR
Ryutaro Tanno, Ardavan Saeedi, Swami Sankaranarayanan, Daniel C. Alexander, Nathan Silberman
2019 J jnl
The Devil is in the Decoder: Classification, Regression and GANs.
Int. J. Comput. Vis.
Zbigniew Wojna, Vittorio Ferrari, Sergio Guadarrama, Nathan Silberman, Liang-Chieh Chen, Alireza Fathi, Jasper R. R. Uijlings
2018 — conf
ExplainGAN: Model Explanation via Decision Boundary Crossing Transformations.
ECCV (10)
Pouya Samangouei, Ardavan Saeedi, Liam Nakagawa, Nathan Silberman
2017 A conf
The Devil is in the Decoder.
BMVC
Zbigniew Wojna, Jasper R. R. Uijlings, Sergio Guadarrama, Nathan Silberman, Liang-Chieh Chen, Alireza Fathi, Vittorio Ferrari
2017 J jnl
The Devil is in the Decoder.
CoRR
Zbigniew Wojna, Vittorio Ferrari, Sergio Guadarrama, Nathan Silberman, Liang-Chieh Chen, Alireza Fathi, Jasper R. R. Uijlings
2017 A* conf
Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks.
CVPR
Konstantinos Bousmalis, Nathan Silberman, David Dohan, Dumitru Erhan, Dilip Krishnan
2016 — conf
Domain Separation Networks.
NIPS
Konstantinos Bousmalis, George Trigeorgis, Nathan Silberman, Dilip Krishnan, Dumitru Erhan
2016 J jnl
Domain Separation Networks.
CoRR
Konstantinos Bousmalis, George Trigeorgis, Nathan Silberman, Dilip Krishnan, Dumitru Erhan
2016 J jnl
Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks.
CoRR
Konstantinos Bousmalis, Nathan Silberman, David Dohan, Dumitru Erhan, Dilip Krishnan
2015 A* conf
Im2Calories: Towards an Automated Mobile Vision Food Diary.
ICCV
Austin Myers, Nick Johnston, Vivek Rathod, Anoop Korattikara, Alexander N. Gorban, Nathan Silberman, Sergio Guadarrama, George Papandreou, Jonathan Huang, Kevin Murphy
2015 — —
Instance Segmentation of RGBD Scenes.
Nathan Silberman
2014 — conf
A Contour Completion Model for Augmenting Surface Reconstructions.
ECCV (3)
Nathan Silberman, Lior Shapira, Ran Gal, Pushmeet Kohli
2014 — conf
Instance Segmentation of Indoor Scenes Using a Coverage Loss.
ECCV (1)
Nathan Silberman, David A. Sontag, Rob Fergus
2012 — conf
Indoor Segmentation and Support Inference from RGBD Images.
ECCV (5)
Nathan Silberman, Derek Hoiem, Pushmeet Kohli, Rob Fergus
2011 — conf
Indoor scene segmentation using a structured light sensor.
ICCV Workshops
Nathan Silberman, Rob Fergus
2010 — conf
Case for Automated Detection of Diabetic Retinopathy.
AAAI Spring Symposium: Artificial Intelligence for Development
Nathan Silberman, Kristy Ahrlich, Rob Fergus, Lakshminarayanan Subramanian
2009 — conf
Efficient Large-Scale Distributed Training of Conditional Maximum Entropy Models.
NIPS
Gideon Mann, Ryan T. McDonald, Mehryar Mohri, Nathan Silberman, Dan Walker