| 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 | 28360 | 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 | 9867 | 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 | 3931 | 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 | 751 | 2018 |
| Cyclegan, a master of steganography C Chu, A Zhmoginov, M Sandler arXiv preprint arXiv:1712.02950, 2017 | 265 | 2017 |
| Organizing search results in a topic hierarchy MM Sandler, K Dave US Patent 8,214,361, 2012 | 258 | 2012 |
| The power of sparsity in convolutional neural networks S Changpinyo, M Sandler, A Zhmoginov arXiv preprint arXiv:1702.06257, 2017 | 168 | 2017 |
| 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 | 113 | 2006 |
| 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 | 80 | 2022 |
| Network failure detection and graph connectivity J Kleinberg, M Sandler, A Slivkins SIAM Journal on Computing 38 (4), 1330-1346, 2008 | 79 | 2008 |
| 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 | 77 | 2018 |
| Inverting face embeddings with convolutional neural networks A Zhmoginov, M Sandler arXiv preprint arXiv:1606.04189, 2016 | 77 | 2016 |
| Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) M Tan, B Chen, R Pang, V Vasudevan, M Sandler, A Howard, QV Le IEEE, Piscataway, NJ, 2019 | 63 | 2019 |
| 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 | 60 | 2005 |
| Convergent algorithms for collaborative filtering J Kleinberg, M Sandler Proceedings of the 4th ACM conference on Electronic commerce, 1-10, 2003 | 58 | 2003 |
| Searching for mobilenetV3. 2019 A Howard, M Sandler, G Chu, LC Chen, B Chen, M Tan, W Wang, Y Zhu, ... arXiv preprint arXiv:1905.02244, 1905 | 57 | 1905 |
| Large-scale generative data-free distillation L Luo, M Sandler, Z Lin, A Zhmoginov, A Howard arXiv preprint arXiv:2012.05578, 2020 | 54 | 2020 |
| Inverted residuals and linear bottlenecks: Mobile networks for classification, detection and segmentation. CoRR abs/1801.04381 (2018) M Sandler, AG Howard, M Zhu, A Zhmoginov, L Chen arXiv preprint arXiv:1801.04381, 1801 | 54 | 1801 |
| Mobilenetv2: The next generation of on-device computer vision networks M Sandler, A Howard, M Zhu, A Zhmoginov, LC Chen Google AI Blog 3, 2018 | 53 | 2018 |
Andrey ZhmoginovGoogle DeepMindVerified email at google.com
