Obserwuj
Matthew Moskewicz
Matthew Moskewicz
Tesla
Zweryfikowany adres z alumni.princeton.edu
Tytuł
Cytowane przez
Cytowane przez
Rok
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and< 0.5 MB model size
FN Iandola
arXiv preprint arXiv:1602.07360, 2016
104672016
Chaff: Engineering an efficient SAT solver
MW Moskewicz, CF Madigan, Y Zhao, L Zhang, S Malik
Proceedings of the 38th annual Design Automation Conference, 530-535, 2001
51062001
Efficient conflict driven learning in a boolean satisfiability solver
L Zhang, CF Madigan, MH Moskewicz, S Malik
IEEE/ACM International Conference on Computer Aided Design. ICCAD 2001. IEEE …, 2001
12272001
Densenet: Implementing Efficient Convnet Descriptor Pyramids
F Iandola
arXiv preprint arXiv:1404.1869, 2014
11452014
Firecaffe: near-linear acceleration of deep neural network training on compute clusters
FN Iandola, MW Moskewicz, K Ashraf, K Keutzer
Proceedings of the IEEE conference on computer vision and pattern …, 2016
3992016
Densenet: Implementing efficient convnet descriptor pyramids. arXiv 2014
F Iandola, M Moskewicz, S Karayev, R Girshick, T Darrell, K Keutzer
arXiv preprint arXiv:1404.1869, 0
121
A polysilicon active matrix organic light emitting diode display with integrated drivers
RMA Dawson, Z Shen, DA Furst, S Connor, J Hsu, MG Kane, RG Stewart, ...
SID Symposium Digest of Technical Papers 30 (1), 438-441, 1999
961999
SqueezeNet: AlexNet-level accuracy with 50× fewer parameters and
FN Iandola, S Han, MW Moskewicz, K Ashraf, WJ Dally, K Keutzer
5MB model size [J], 2016
842016
Shallow networks for high-accuracy road object-detection
K Ashraf, B Wu, FN Iandola, MW Moskewicz, K Keutzer
arXiv preprint arXiv:1606.01561, 2016
672016
Developing architectural platforms: A disciplined approach
A Mihal, C Kulkarni, M Moskewicz, M Tsai, N Shah, S Weber, Y Jin, ...
IEEE Design & Test of Computers 19 (6), 6-16, 2002
612002
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and< 0.5 MB model size
S Han, MW Moskewicz, K Ashraf, WJ Dally, K Keutzer
ArXiv Preprint ArXiv: 1602.07360, 2016
58*2016
SqueezeNet: AlexNet-level accuracy with 50× fewer parameters and< 0.5 MB model size. 2016
FN Iandola, S Han, MW Moskewicz, K Ashraf, WJ Dally, K Keutzer
arXiv preprint arXiv:1602.07360, 0
56
Cama: A multi-valued satisfiability solver
C Liu, A Kuehlmann, MW Moskewicz
ICCAD-2003. International Conference on Computer Aided Design (IEEE Cat. No …, 2003
472003
System and method for analysis and transformation of layouts using situations
FE Gennari, YC Lai, MW Moskewicz, MC Lam, GR McIntyre
US Patent 7,418,693, 2008
442008
Accelerating boolean satisfiability through application specific processing
Y Zhao, S Malik, M Moskewicz, C Madigan
Proceedings of the 14th international symposium on Systems synthesis, 244-249, 2001
422001
System and method for implementing image-based design rules
FE Gennari, YC Lai, MW Moskewicz, MC Lam, GR McIntyre
US Patent 7,653,892, 2010
342010
Method and system for performing pattern classification of patterns in integrated circuit designs
YC Lai, FE Gennari, MW Moskewicz, J Lei, W Lai
US Patent 8,079,005, 2011
322011
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and< 0.5 MB model size. arXiv preprint 2016
FN Iandola, S Han, MW Moskewicz, K Ashraf, WJ Dally, K Keutzer
arXiv preprint arXiv:1602.07360 66, 0
32
Fast pattern matching
FE Gennari, YC Lai, MW Moskewicz, MC Lam, GR McIntyre
US Patent 7,818,707, 2010
302010
Audio-based multimedia event detection with DNNs and sparse sampling
K Ashraf, B Elizalde, F Iandola, M Moskewicz, J Bernd, G Friedland, ...
Proceedings of the 5th ACM on International Conference on Multimedia …, 2015
262015
Nie można teraz wykonać tej operacji. Spróbuj ponownie później.
Prace 1–20