SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and< 0.5 MB model size FN Iandola arXiv preprint arXiv:1602.07360, 2016 | 10467 | 2016 |
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 | 5106 | 2001 |
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 | 1227 | 2001 |
Densenet: Implementing Efficient Convnet Descriptor Pyramids F Iandola arXiv preprint arXiv:1404.1869, 2014 | 1145 | 2014 |
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 | 399 | 2016 |
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 | 96 | 1999 |
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 | 84 | 2016 |
Shallow networks for high-accuracy road object-detection K Ashraf, B Wu, FN Iandola, MW Moskewicz, K Keutzer arXiv preprint arXiv:1606.01561, 2016 | 67 | 2016 |
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 | 61 | 2002 |
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 | 47 | 2003 |
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 | 44 | 2008 |
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 | 42 | 2001 |
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 | 34 | 2010 |
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 | 32 | 2011 |
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 | 30 | 2010 |
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 | 26 | 2015 |