Nathan Silberman

19 papers A* 4A 1Journal 5Unranked 8

Year	Rank	Type	Title / 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