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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
94552018
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
21062019
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
18322019
Inverted residuals and linear bottlenecks: Mobile networks for classification, detection and segmentation
A Howard, A Zhmoginov, LC Chen, M Sandler, M Zhu
6532018
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
4012018
Organizing search results in a topic hierarchy
MM Sandler, K Dave
US Patent 8,214,361, 2012
2272012
Cyclegan, a master of steganography
C Chu, A Zhmoginov, M Sandler
arXiv preprint arXiv:1712.02950, 2017
1542017
Using mixture models for collaborative filtering
J Kleinberg, M Sandler
Journal of Computer and System Sciences 74 (1), 49-69, 2008
1222008
The power of sparsity in convolutional neural networks
S Changpinyo, M Sandler, A Zhmoginov
arXiv preprint arXiv:1702.06257, 2017
1212017
Privacy via pseudorandom sketches
N Mishra, M Sandler
Proceedings of the twenty-fifth ACM SIGMOD-SIGACT-SIGART symposium on …, 2006
1052006
Network failure detection and graph connectivity
J Kleinberg, M Sandler, A Slivkins
SODA 4, 76-85, 2004
642004
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
612005
Convergent algorithms for collaborative filtering
J Kleinberg, M Sandler
Proceedings of the 4th ACM conference on Electronic commerce, 1-10, 2003
532003
Inverted residuals and linear bottlenecks: Mobile networks for classification
M Sandler, A Howard, M Zhu, A Zhmoginov, LC Chen
Detection and Segmentation. arXiv 1801, 2018
442018
Inverting face embeddings with convolutional neural networks
A Zhmoginov, M Sandler
arXiv preprint arXiv:1606.04189, 2016
362016
MobileNetV2: Inverted Residuals and Linear Bottlenecks.(2018)
M Sandler, A Howard, M Zhu, A Zhmoginov, LC Chen
arXiv preprint arXiv:1801.04381, 1801
341801
Augmented resource graph for scoring resources
MM Sandler, D Sivakumar
US Patent 8,386,495, 2013
332013
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
312018
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
312011
On the use of linear programming for unsupervised text classification
M Sandler
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge …, 2005
292005
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