Andrew Howard
Andrew Howard
Verified email at google.com
TitleCited byYear
Mobilenets: Efficient convolutional neural networks for mobile vision applications
AG Howard, M Zhu, B Chen, D Kalenichenko, W Wang, T Weyand, ...
arXiv preprint arXiv:1704.04861, 2017
27672017
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
8162018
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
8162018
Probability product kernels
T Jebara, R Kondor, A Howard
Journal of Machine Learning Research 5 (Jul), 819-844, 2004
5432004
Some improvements on deep convolutional neural network based image classification
AG Howard
arXiv preprint arXiv:1312.5402, 2013
2452013
Quantization and training of neural networks for efficient integer-arithmetic-only inference
B Jacob, S Kligys, B Chen, M Zhu, M Tang, A Howard, H Adam, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
2072018
The unreasonable effectiveness of noisy data for fine-grained recognition
J Krause, B Sapp, A Howard, H Zhou, A Toshev, T Duerig, J Philbin, ...
European Conference on Computer Vision, 301-320, 2016
1952016
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 Conference on Computer Vision and Pattern …, 2019
1462019
Adaptive Model Generation
A Honig, A Howard, E Eskin, S Stolfo
Applications of data mining in computer security, 153-193, 2002
902002
Multi-object tracking with representations of the symmetric group
R Kondor, A Howard, T Jebara
Artificial Intelligence and Statistics, 211-218, 2007
882007
Mobilenets: Efficient convolutional neural networks for mobile vision applications. arXiv 2017
AG Howard, M Zhu, B Chen, D Kalenichenko, W Wang, T Weyand, ...
arXiv preprint arXiv:1704.04861 1704, 2017
862017
System and methods for adaptive model generation for detecting intrusions in computer systems
A Honig, A Howard, E Eskin, SJ Stolfo
US Patent 7,225,343, 2007
742007
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
642018
Systems and methods for adaptive model generation for detecting intrusions in computer systems
A Honig, A Howard, E Eskin, SJ Stolfo
US Patent 8,893,273, 2014
632014
Large scale fine-grained categorization and domain-specific transfer learning
Y Cui, Y Song, C Sun, A Howard, S Belongie
Proceedings of the IEEE conference on computer vision and pattern …, 2018
552018
Searching for MobileNetV3
A Howard, M Sandler, G Chu, LC Chen, B Chen, M Tan, W Wang, Y Zhu, ...
arXiv preprint arXiv:1905.02244, 2019
232019
System and methods for adaptive model generation for detecting intrusion in computer systems
A Honig, A Howard, E Eskin, SJ Stolfo
US Patent 8,887,281, 2014
232014
Dynamical systems trees
A Howard, T Jebara
Proceedings of the 20th conference on Uncertainty in artificial intelligence …, 2004
202004
Learning monotonic transformations for classification
A Howard, T Jebara
Advances in Neural Information Processing Systems, 681-688, 2008
142008
Transformation learning via kernel alignment
A Howard, T Jebara
2009 International Conference on Machine Learning and Applications, 301-308, 2009
92009
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Articles 1–20