| Batch normalization: Accelerating deep network training by reducing internal covariate shift S Ioffe, C Szegedy International conference on machine learning, 448-456, 2015 | 47422 | 2015 |
| Rethinking the inception architecture for computer vision C Szegedy, V Vanhoucke, S Ioffe, J Shlens, Z Wojna Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 26756 | 2016 |
| Inception-v4, inception-resnet and the impact of residual connections on learning C Szegedy, S Ioffe, V Vanhoucke, A Alemi Proceedings of the AAAI conference on artificial intelligence 31 (1), 2017 | 13951 | 2017 |
| Proceedings of the IEEE conference on computer vision and pattern recognition C Szegedy, W Liu, Y Jia, P Sermanet, S Reed, D Anguelov, D Erhan, ... Going deeper with convolutions, 1-9, 2015 | 631 | 2015 |
| No fuss distance metric learning using proxies Y Movshovitz-Attias, A Toshev, TK Leung, S Ioffe, S Singh Proceedings of the IEEE international conference on computer vision, 360-368, 2017 | 596 | 2017 |
| Probabilistic linear discriminant analysis S Ioffe Computer Vision–ECCV 2006: 9th European Conference on Computer Vision, Graz …, 2006 | 581 | 2006 |
| Batch renormalization: Towards reducing minibatch dependence in batch-normalized models S Ioffe Advances in neural information processing systems 30, 2017 | 522 | 2017 |
| Deep convolutional ranking for multilabel image annotation Y Gong, Y Jia, T Leung, A Toshev, S Ioffe arXiv preprint arXiv:1312.4894, 2013 | 515 | 2013 |
| Scalable, high-quality object detection C Szegedy, S Reed, D Erhan, D Anguelov, S Ioffe arXiv preprint arXiv:1412.1441, 2014 | 510 | 2014 |
| Automatic face detection and identity masking in images, and applications thereof S Ioffe, L Williams, D Strelow, A Frome, L Vincent US Patent 8,098,904, 2012 | 328 | 2012 |
| Probabilistic methods for finding people S Ioffe, DA Forsyth International Journal of Computer Vision 43, 45-68, 2001 | 323 | 2001 |
| International conference on machine learning S Ioffe, C Szegedy Batch normalization: Accelerating deep network training by reducing internal …, 2015 | 263 | 2015 |
| Inception-v4, inception-resnet and the impact of residual connections on learning. arXiv 2016 C Szegedy, S Ioffe, V Vanhoucke, A Alemi arXiv preprint arXiv:1602.07261, 0 | 262 | |
| Improved consistent sampling, weighted minhash and l1 sketching S Ioffe 2010 IEEE international conference on data mining, 246-255, 2010 | 236 | 2010 |
| Human tracking with mixtures of trees S Ioffe, D Forsyth Proceedings Eighth IEEE International Conference on Computer Vision. ICCV …, 2001 | 153 | 2001 |
| Temporal differences-based policy iteration and applications in neuro-dynamic programming DP Bertsekas, S Ioffe Lab. for Info. and Decision Systems Report LIDS-P-2349, MIT, Cambridge, MA 14, 1996 | 153 | 1996 |
| Rethinking the inception architecture for computer vision. arXiv 2015 C Szegedy, V Vanhoucke, S Ioffe, J Shlens, Z Wojna arXiv preprint arXiv:1512.00567 1512, 2016 | 148 | 2016 |
| Method and apparatus for object recognition using probability models S Ioffe US Patent 7,596,247, 2009 | 142 | 2009 |
| Endpoint based video fingerprinting J Yagnik, HA Rowley, S Ioffe US Patent 8,611,422, 2013 | 140 | 2013 |
| Segmenting images and simulating motion blur using an image sequence T Chinen, S Ioffe, T Leung, Y Song US Patent 7,702,131, 2010 | 129 | 2010 |
