Mark Sandler
Mark Sandler
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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
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
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
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
Organizing search results in a topic hierarchy
MM Sandler, K Dave
US Patent 8,214,361, 2012
Cyclegan, a master of steganography
C Chu, A Zhmoginov, M Sandler
arXiv preprint arXiv:1712.02950, 2017
The power of sparsity in convolutional neural networks
S Changpinyo, M Sandler, A Zhmoginov
arXiv preprint arXiv:1702.06257, 2017
Using mixture models for collaborative filtering
J Kleinberg, M Sandler
Proceedings of the thirty-sixth annual ACM symposium on Theory of computing …, 2004
Privacy via pseudorandom sketches
N Mishra, M Sandler
Proceedings of the twenty-fifth ACM SIGMOD-SIGACT-SIGART symposium on …, 2006
Network failure detection and graph connectivity
J Kleinberg, M Sandler, A Slivkins
SIAM Journal on Computing 38 (4), 1330-1346, 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
Convergent algorithms for collaborative filtering
J Kleinberg, M Sandler
Proceedings of the 4th ACM conference on Electronic commerce, 1-10, 2003
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
Inverting face embeddings with convolutional neural networks
A Zhmoginov, M Sandler
arXiv preprint arXiv:1606.04189, 2016
Augmented resource graph for scoring resources
MM Sandler, D Sivakumar
US Patent 8,386,495, 2013
Large-scale generative data-free distillation
L Luo, M Sandler, Z Lin, A Zhmoginov, A Howard
arXiv preprint arXiv:2012.05578, 2020
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
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
Non-discriminative data or weak model? on the relative importance of data and model resolution
M Sandler, J Baccash, A Zhmoginov, A Howard
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
Frugal streaming for estimating quantiles
Q Ma, S Muthukrishnan, M Sandler
Space-Efficient Data Structures, Streams, and Algorithms: Papers in Honor of …, 2013
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