| Efficient object localization using convolutional networks J Tompson, R Goroshin, A Jain, Y LeCun, C Bregler Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 884 | 2015 |
| Learning to navigate in complex environments P Mirowski, R Pascanu, F Viola, H Soyer, AJ Ballard, A Banino, M Denil, ... arXiv preprint arXiv:1611.03673, 2016 | 538 | 2016 |
| Vector-based navigation using grid-like representations in artificial agents A Banino, C Barry, B Uria, C Blundell, T Lillicrap, P Mirowski, A Pritzel, ... Nature 557 (7705), 429-433, 2018 | 306 | 2018 |
| Stacked What-Where Auto-encoders J Zhao, M Mathieu, R Goroshin, Y LeCun https://arxiv.org/abs/1506.02351, 2016 | 260 | 2016 |
| Meta-dataset: A dataset of datasets for learning to learn from few examples E Triantafillou, T Zhu, V Dumoulin, P Lamblin, U Evci, K Xu, R Goroshin, ... arXiv preprint arXiv:1903.03096, 2019 | 135 | 2019 |
| Learning to linearize under uncertainty R Goroshin, M Mathieu, Y LeCun arXiv preprint arXiv:1506.03011, 2015 | 110 | 2015 |
| Unsupervised learning of spatiotemporally coherent metrics R Goroshin, J Bruna, J Tompson, D Eigen, Y LeCun Proceedings of the IEEE international conference on computer vision, 4086-4093, 2015 | 106 | 2015 |
| Unsupervised learning of spatiotemporally coherent metrics R Goroshin, J Bruna, J Tompson, D Eigen, Y LeCun Proceedings of the IEEE international conference on computer vision, 4086-4093, 2015 | 106 | 2015 |
| Saturating auto-encoders R Goroshin, Y LeCun arXiv preprint arXiv:1301.3577, 2013 | 46 | 2013 |
| Unsupervised feature learning from temporal data R Goroshin, J Bruna, J Tompson, D Eigen, Y LeCun arXiv preprint arXiv:1504.02518, 2015 | 42 | 2015 |
| Stacked whatwhere auto-encoders J Zhao, M Mathieu, R Goroshin, Y Lecun CoRR, vol. abs/1506.02351, 2015 | 23 | 2015 |
| Approximate solutions to several visibility optimization problems R Goroshin, Q Huynh, HM Zhou Communications in Mathematical Sciences 9 (2), 535-550, 2011 | 20 | 2011 |
| Learning to navigate in complex environments. arXiv P Mirowski, R Pascanu, F Viola, H Soyer, AJ Ballard, A Banino, M Denil, ... arXiv preprint arXiv:1611.03673, 2016 | 6 | 2016 |
| Automated cable tracking in sonar imagery JC Isaacs, R Goroshin OCEANS 2010 MTS/IEEE SEATTLE, 1-7, 2010 | 6 | 2010 |
| Efficient object localization using convolutional networks. CoRR abs/1411.4280 (2014) J Tompson, R Goroshin, A Jain, Y LeCun, C Bregler arXiv preprint arXiv:1411.4280, 2014 | 4 | 2014 |
| Code for" meta-dataset: A dataset of datasets for learning to learn from few examples E Triantafillou, T Zhu, V Dumoulin, P Lamblin, K Xu, R Goroshin, ... | 3 | 2019 |
| Obstacle detection using a monocular camera R Goroshin Georgia Institute of Technology, 2008 | 3 | 2008 |
| An Effective Anti-Aliasing Approach for Residual Networks C Vasconcelos, H Larochelle, V Dumoulin, NL Roux, R Goroshin arXiv preprint arXiv:2011.10675, 2020 | 2 | 2020 |
| et almbox. 2016. Learning to navigate in complex environments P Mirowski, R Pascanu, F Viola, H Soyer, A Ballard, A Banino, M Denil, ... Proceedings of the International Conference on Learning Representations (ICLR), 2016 | 2 | 2016 |
| Unsupervised Feature Learning in Computer Vision R Goroshin New York University, 2015 | 2 | 2015 |
Yann LeCunChief AI Scientist at Facebook & Silver Professor at the Courant Institute, New York UniversityVerified email at cs.nyu.edu
