| TensorFlow: Large-scale machine learning on heterogeneous systems M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... | 17505* | 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 | 6888 | 2016 |
| Explaining and harnessing adversarial examples I Goodfellow, J Shlens, C Szegedy ICLR, 2014 | 3884 | 2014 |
| A tutorial on principal component analysis J Shlens arXiv preprint arXiv:1404.1100, 2014 | 2460 | 2014 |
| Devise: A deep visual-semantic embedding model A Frome, GS Corrado, J Shlens, S Bengio, J Dean, MA Ranzato, ... Advances in neural information processing systems, 2121-2129, 2013 | 1333 | 2013 |
| Learning transferable architectures for scalable image recognition B Zoph, V Vasudevan, J Shlens, QV Le Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 1148 | 2018 |
| Spatio-temporal correlations and visual signalling in a complete neuronal population JW Pillow, J Shlens, L Paninski, A Sher, AM Litke, EJ Chichilnisky, ... Nature 454 (7207), 995-999, 2008 | 1089 | 2008 |
| Adversarial autoencoders A Makhzani, J Shlens, N Jaitly, I Goodfellow, B Frey arXiv preprint arXiv:1511.05644, 2015 | 1076 | 2015 |
| Conditional image synthesis with auxiliary classifier gans A Odena, C Olah, J Shlens Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017 | 1034 | 2017 |
| Zero-shot learning by convex combination of semantic embeddings M Norouzi, T Mikolov, S Bengio, Y Singer, J Shlens, A Frome, GS Corrado, ... arXiv preprint arXiv:1312.5650, 2013 | 485 | 2013 |
| The structure of multi-neuron firing patterns in primate retina J Shlens, GD Field, JL Gauthier, MI Grivich, D Petrusca, A Sher, AM Litke, ... Journal of Neuroscience 26 (32), 8254-8266, 2006 | 476 | 2006 |
| Progressive neural architecture search C Liu, B Zoph, M Neumann, J Shlens, W Hua, LJ Li, L Fei-Fei, A Yuille, ... Proceedings of the European Conference on Computer Vision (ECCV), 19-34, 2018 | 445 | 2018 |
| A learned representation for artistic style V Dumoulin, J Shlens, M Kudlur arXiv preprint arXiv:1610.07629, 2016 | 347 | 2016 |
| Fast, accurate detection of 100,000 object classes on a single machine T Dean, MA Ruzon, M Segal, J Shlens, S Vijayanarasimhan, J Yagnik Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 330 | 2013 |
| Net2net: Accelerating learning via knowledge transfer T Chen, I Goodfellow, J Shlens arXiv preprint arXiv:1511.05641, 2015 | 268 | 2015 |
| Functional connectivity in the retina at the resolution of photoreceptors GD Field, JL Gauthier, A Sher, M Greschner, TA Machado, LH Jepson, ... Nature 467 (7316), 673-677, 2010 | 258 | 2010 |
| A tutorial on principal component analysis. Systems Neurobiology Laboratory J Shlens Salk Institute for Biological Studies, 2005 | 202 | 2005 |
| Do better imagenet models transfer better? S Kornblith, J Shlens, QV Le Proceedings of the IEEE conference on computer vision and pattern …, 2019 | 157 | 2019 |
| The structure of large-scale synchronized firing in primate retina J Shlens, GD Field, JL Gauthier, M Greschner, A Sher, AM Litke, ... Journal of Neuroscience 29 (15), 5022-5031, 2009 | 149 | 2009 |
| Spatial properties and functional organization of small bistratified ganglion cells in primate retina GD Field, A Sher, JL Gauthier, M Greschner, J Shlens, AM Litke, ... Journal of Neuroscience 27 (48), 13261-13272, 2007 | 140 | 2007 |
Jeff DeanGoogle Senior Fellow & SVP, Google Research and HealthVerified email at google.com
