| Mobilenetv2: Inverted residuals and linear bottlenecks M Sandler, A Howard, M Zhu, A Zhmoginov, LC Chen Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 19984 | 2018 |
| Searching for mobilenetv3 A Howard, M Sandler, G Chu, LC Chen, B Chen, M Tan, W Wang, Y Zhu, ... Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 5903 | 2019 |
| Mnasnet: Platform-aware neural architecture search for mobile M Tan, B Chen, R Pang, V Vasudevan, M Sandler, A Howard, QV Le Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 3052 | 2019 |
| Netadapt: Platform-aware neural network adaptation for mobile applications TJ Yang, A Howard, B Chen, X Zhang, A Go, M Sandler, V Sze, H Adam Proceedings of the European Conference on Computer Vision (ECCV), 285-300, 2018 | 614 | 2018 |
| Organizing search results in a topic hierarchy MM Sandler, K Dave US Patent 8,214,361, 2012 | 242 | 2012 |
| Cyclegan, a master of steganography C Chu, A Zhmoginov, M Sandler arXiv preprint arXiv:1712.02950, 2017 | 210 | 2017 |
| The power of sparsity in convolutional neural networks S Changpinyo, M Sandler, A Zhmoginov arXiv preprint arXiv:1702.06257, 2017 | 158 | 2017 |
| MobileNetV2: inverted residuals and linear bottlenecks. In proceedings of the 2018 IEEE conference on computer vision and pattern recognition M Sandler, A Howard, M Zhu, A Zhmoginov, L Chen IEEE, 2018 | 139 | 2018 |
| Using mixture models for collaborative filtering J Kleinberg, M Sandler Proceedings of the thirty-sixth annual ACM symposium on Theory of computing …, 2004 | 129 | 2004 |
| Privacy via pseudorandom sketches N Mishra, M Sandler Proceedings of the twenty-fifth ACM SIGMOD-SIGACT-SIGART symposium on …, 2006 | 112 | 2006 |
| Network failure detection and graph connectivity J Kleinberg, M Sandler, A Slivkins SIAM Journal on Computing 38 (4), 1330-1346, 2008 | 79 | 2008 |
| On learning mixtures of heavy-tailed distributions A Dasgupta, J Hopcroft, J Kleinberg, M Sandler 46th Annual IEEE Symposium on Foundations of Computer Science (FOCS'05), 491-500, 2005 | 59 | 2005 |
| K for the price of 1: Parameter-efficient multi-task and transfer learning PK Mudrakarta, M Sandler, A Zhmoginov, A Howard arXiv preprint arXiv:1810.10703, 2018 | 58 | 2018 |
| Inverting face embeddings with convolutional neural networks A Zhmoginov, M Sandler arXiv preprint arXiv:1606.04189, 2016 | 58 | 2016 |
| Convergent algorithms for collaborative filtering J Kleinberg, M Sandler Proceedings of the 4th ACM conference on Electronic commerce, 1-10, 2003 | 57 | 2003 |
| Proceedings of the IEEE/CVF international conference on computer vision A Howard, M Sandler, G Chu, LC Chen, B Chen, M Tan, W Wang, Y Zhu, ... IEEE, 2019 | 50 | 2019 |
| Large-scale generative data-free distillation L Luo, M Sandler, Z Lin, A Zhmoginov, A Howard arXiv preprint arXiv:2012.05578, 2020 | 40 | 2020 |
| Augmented resource graph for scoring resources MM Sandler, D Sivakumar US Patent 8,386,495, 2013 | 36 | 2013 |
| Modeling the Parallel Execution of {Black-Box} Services G Mann, M Sandler, D Krushevskaja, S Guha, E Even-Dar 3rd USENIX Workshop on Hot Topics in Cloud Computing (HotCloud 11), 2011 | 36 | 2011 |
| Hypertransformer: Model generation for supervised and semi-supervised few-shot learning A Zhmoginov, M Sandler, M Vladymyrov International Conference on Machine Learning, 27075-27098, 2022 | 34 | 2022 |
Andrey ZhmoginovGoogleDirección de correo verificada de google.com
