Silberman, Nathan

9 publications

ICLR 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

ECCV 2018 ExplainGAN: Model Explanation via Decision Boundary Crossing Transformations Pouya Samangouei, Ardavan Saeedi, Liam Nakagawa, Nathan Silberman

CVPR 2017 Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks Konstantinos Bousmalis, Nathan Silberman, David Dohan, Dumitru Erhan, Dilip Krishnan

NeurIPS 2016 Domain Separation Networks Konstantinos Bousmalis, George Trigeorgis, Nathan Silberman, Dilip Krishnan, Dumitru Erhan

ICCV 2015 Im2Calories: Towards an Automated Mobile Vision Food Diary Austin Meyers, Nick Johnston, Vivek Rathod, Anoop Korattikara, Alex Gorban, Nathan Silberman, Sergio Guadarrama, George Papandreou, Jonathan Huang, Kevin P. Murphy

ECCV 2014 A Contour Completion Model for Augmenting Surface Reconstructions Nathan Silberman, Lior Shapira, Ran Gal, Pushmeet Kohli

ECCV 2014 Instance Segmentation of Indoor Scenes Using a Coverage Loss Nathan Silberman, David A. Sontag, Rob Fergus

ECCV 2012 Indoor Segmentation and Support Inference from RGBD Images Nathan Silberman, Derek Hoiem, Pushmeet Kohli, Rob Fergus

NeurIPS 2009 Efficient Large-Scale Distributed Training of Conditional Maximum Entropy Models Ryan Mcdonald, Mehryar Mohri, Nathan Silberman, Dan Walker, Gideon S. Mann