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Mark Sandler
Mark Sandler
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Title
Cited by
Cited by
Year
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
264592018
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
88892019
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
37362019
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
7192018
Cyclegan, a master of steganography
C Chu, A Zhmoginov, M Sandler
arXiv preprint arXiv:1712.02950, 2017
2532017
Organizing search results in a topic hierarchy
MM Sandler, K Dave
US Patent 8,214,361, 2012
2522012
The power of sparsity in convolutional neural networks
S Changpinyo, M Sandler, A Zhmoginov
arXiv preprint arXiv:1702.06257, 2017
1652017
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
1122006
Network failure detection and graph connectivity
J Kleinberg, M Sandler, A Slivkins
SIAM Journal on Computing 38 (4), 1330-1346, 2008
782008
Inverting face embeddings with convolutional neural networks
A Zhmoginov, M Sandler
arXiv preprint arXiv:1606.04189, 2016
752016
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
742022
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
732018
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
662019
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
602005
Convergent algorithms for collaborative filtering
J Kleinberg, M Sandler
Proceedings of the 4th ACM conference on Electronic commerce, 1-10, 2003
582003
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
541801
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
531905
Large-scale generative data-free distillation
L Luo, M Sandler, Z Lin, A Zhmoginov, A Howard
arXiv preprint arXiv:2012.05578, 2020
512020
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
502018
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