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An Effective Anti-Aliasing Approach for Residual Networks

Nov 20, 2020
Cristina Vasconcelos, Hugo Larochelle, Vincent Dumoulin, Nicolas Le Roux, Ross Goroshin


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An Analysis of Object Representations in Deep Visual Trackers

Jan 08, 2020
Ross Goroshin, Jonathan Tompson, Debidatta Dwibedi


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Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples

Mar 07, 2019
Eleni Triantafillou, Tyler Zhu, Vincent Dumoulin, Pascal Lamblin, Kelvin Xu, Ross Goroshin, Carles Gelada, Kevin Swersky, Pierre-Antoine Manzagol, Hugo Larochelle


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Learning to Navigate in Complex Environments

Jan 13, 2017
Piotr Mirowski, Razvan Pascanu, Fabio Viola, Hubert Soyer, Andrew J. Ballard, Andrea Banino, Misha Denil, Ross Goroshin, Laurent Sifre, Koray Kavukcuoglu, Dharshan Kumaran, Raia Hadsell

* 11 pages, 5 appendix pages, 11 figures, 3 tables, under review as a conference paper at ICLR 2017 

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Stacked What-Where Auto-encoders

Feb 14, 2016
Junbo Zhao, Michael Mathieu, Ross Goroshin, Yann LeCun

* Workshop track - ICLR 2016 

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Learning to Linearize Under Uncertainty

Sep 10, 2015
Ross Goroshin, Michael Mathieu, Yann LeCun

* To appear at NIPS 2015 

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Unsupervised Learning of Spatiotemporally Coherent Metrics

Sep 08, 2015
Ross Goroshin, Joan Bruna, Jonathan Tompson, David Eigen, Yann LeCun

* To appear at ICCV2015 

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Efficient Object Localization Using Convolutional Networks

Jun 09, 2015
Jonathan Tompson, Ross Goroshin, Arjun Jain, Yann LeCun, Christopher Bregler

* 8 pages with 1 page of citations 

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Unsupervised Feature Learning from Temporal Data

Apr 15, 2015
Ross Goroshin, Joan Bruna, Jonathan Tompson, David Eigen, Yann LeCun

* arXiv admin note: substantial text overlap with arXiv:1412.6056 

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