| SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and< 0.5 MB model size FN Iandola, S Han, MW Moskewicz, K Ashraf, WJ Dally, K Keutzer arXiv preprint arXiv:1602.07360, 2016 | 6016 | 2016 |
| The landscape of parallel computing research: A view from berkeley K Asanovic, R Bodik, BC Catanzaro, JJ Gebis, P Husbands, K Keutzer, ... eScholarship, University of California 1, 1, 2006 | 2955 | 2006 |
| System-level design: Orthogonalization of concerns and platform-based design K Keutzer, AR Newton, JM Rabaey, A Sangiovanni-Vincentelli IEEE transactions on computer-aided design of integrated circuits and …, 2000 | 1301 | 2000 |
| Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... arXiv preprint arXiv:1811.02629, 2018 | 945 | 2018 |
| A view of the parallel computing landscape K Asanovic, R Bodik, J Demmel, T Keaveny, K Keutzer, J Kubiatowicz, ... Communications of the ACM 52 (10), 56-67, 2009 | 886 | 2009 |
| FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search B Wu, X Dai, P Zhang, Y Wang, F Sun, Y Wu, Y Tian, P Vajda, Y Jia, ... arXiv, 2018 | 861 | 2018 |
| DAGON: Technology binding and local optimization by DAG matching K Keutzer Proceedings of the 24th ACM/IEEE Design Automation Conference, 341-347, 1987 | 768 | 1987 |
| Estimation of average switching activity in combinational and sequential circuits A Ghosh, S Devadas, K Keutzer, J White | 718 | 1992 |
| Densenet: Implementing efficient convnet descriptor pyramids F Iandola, M Moskewicz, S Karayev, R Girshick, T Darrell, K Keutzer arXiv preprint arXiv:1404.1869, 2014 | 603 | 2014 |
| Dense point trajectories by gpu-accelerated large displacement optical flow N Sundaram, T Brox, K Keutzer European conference on computer vision, 438-451, 2010 | 537 | 2010 |
| Squeezeseg: Convolutional neural nets with recurrent crf for real-time road-object segmentation from 3d lidar point cloud B Wu, A Wan, X Yue, K Keutzer 2018 IEEE International Conference on Robotics and Automation (ICRA), 1887-1893, 2018 | 525 | 2018 |
| Squeezedet: Unified, small, low power fully convolutional neural networks for real-time object detection for autonomous driving B Wu, F Iandola, PH Jin, K Keutzer Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 521 | 2017 |
| Fast support vector machine training and classification on graphics processors B Catanzaro, N Sundaram, K Keutzer Proceedings of the 25th international conference on Machine learning, 104-111, 2008 | 512 | 2008 |
| Addressing the system-on-a-chip interconnect woes through communication-based design M Sgroi, M Sheets, A Mihal, K Keutzer, S Malik, J Rabaey, ... Proceedings of the 38th Design Automation Conference (IEEE Cat. No …, 2001 | 511 | 2001 |
| Getting to the bottom of deep submicron D Sylvester, K Keutzer Proceedings of the 1998 IEEE/ACM international conference on Computer-aided …, 1998 | 406 | 1998 |
| Large batch optimization for deep learning: Training bert in 76 minutes Y You, J Li, S Reddi, J Hseu, S Kumar, S Bhojanapalli, X Song, J Demmel, ... arXiv preprint arXiv:1904.00962, 2019 | 399 | 2019 |
| ImageNet Training in Minutes Y You, Z Zhang, CJ Hsieh, J Demmel, K Keutzer International Conference on Parallel Processing, 1-10, 2018 | 392* | 2018 |
| Bus encoding to prevent crosstalk delay B Victor, K Keutzer IEEE/ACM International Conference on Computer Aided Design. ICCAD 2001. IEEE …, 2001 | 335 | 2001 |
| Squeezesegv2: Improved model structure and unsupervised domain adaptation for road-object segmentation from a lidar point cloud B Wu, X Zhou, S Zhao, X Yue, K Keutzer 2019 International Conference on Robotics and Automation (ICRA), 4376-4382, 2019 | 332 | 2019 |
| 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 | 322 | 2016 |
Srini DevadasEdwin Sibley Webster Professor of Electrical Engineering and Computer Science, MIT在 mit.edu 的电子邮件经过验证
