Nathan Silberman

According to our database, Nathan Silberman authored at least 15 papers between 2009 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2020

Discrepancy Ratio: Evaluating Model Performance When Even Experts Disagree on the Truth.

Igor Lovchinsky, Alon Daks, Israel Malkin, Pouya Samangouei, Ardavan Saeedi, Yang Liu, Swami Sankaranarayanan, Tomer Gafner, Ben Sternlieb, Patrick Maher, Nathan Silberman

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

The Devil is in the Decoder: Classification, Regression and GANs.

Zbigniew Wojna, Vittorio Ferrari, Sergio Guadarrama, Nathan Silberman, Liang-Chieh Chen, Alireza Fathi, Jasper R. R. Uijlings

Int. J. Comput. Vis., 2019

Learning From Noisy Labels by Regularized Estimation of Annotator Confusion.

Ryutaro Tanno, Ardavan Saeedi, Swami Sankaranarayanan, Daniel C. Alexander, Nathan Silberman

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

ExplainGAN: Model Explanation via Decision Boundary Crossing Transformations.

Pouya Samangouei, Ardavan Saeedi, Liam Nakagawa, Nathan Silberman

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks.

Konstantinos Bousmalis, Nathan Silberman, David Dohan, Dumitru Erhan, Dilip Krishnan

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

The Devil is in the Decoder.

Zbigniew Wojna, Jasper R. R. Uijlings, Sergio Guadarrama, Nathan Silberman, Liang-Chieh Chen, Alireza Fathi, Vittorio Ferrari

Proceedings of the British Machine Vision Conference 2017, 2017

2016

Domain Separation Networks.

Konstantinos Bousmalis, George Trigeorgis, Nathan Silberman, Dilip Krishnan, Dumitru Erhan

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

Instance Segmentation of RGBD Scenes.

Nathan Silberman

PhD thesis, 2015

Im2Calories: Towards an Automated Mobile Vision Food Diary.

Austin Myers, Nick Johnston, Vivek Rathod, Anoop Korattikara, Alexander N. Gorban, Nathan Silberman, Sergio Guadarrama, George Papandreou, Jonathan Huang, Kevin Murphy

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014

A Contour Completion Model for Augmenting Surface Reconstructions.

Nathan Silberman, Lior Shapira, Ran Gal, Pushmeet Kohli

Proceedings of the Computer Vision - ECCV 2014, 2014

Instance Segmentation of Indoor Scenes Using a Coverage Loss.

Nathan Silberman, David A. Sontag, Rob Fergus

Proceedings of the Computer Vision - ECCV 2014, 2014

2012

Indoor Segmentation and Support Inference from RGBD Images.

Nathan Silberman, Derek Hoiem, Pushmeet Kohli, Rob Fergus

Proceedings of the Computer Vision - ECCV 2012, 2012

2011

Indoor scene segmentation using a structured light sensor.

Nathan Silberman, Rob Fergus

Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

2010

Case for Automated Detection of Diabetic Retinopathy.

Nathan Silberman, Kristy Ahrlich, Rob Fergus, Lakshminarayanan Subramanian

Proceedings of the Artificial Intelligence for Development, 2010

2009

Efficient Large-Scale Distributed Training of Conditional Maximum Entropy Models.

Gideon Mann, Ryan T. McDonald, Mehryar Mohri, Nathan Silberman, Dan Walker

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009