| SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and< 0.5 MB model size FN Iandola arXiv preprint arXiv:1602.07360, 2016 | 10463 | 2016 |
| The landscape of parallel computing research: A view from berkeley K Asanovic, R Bodik, B Catanzaro, J Gebis, P Husbands, K Keutzer, ... | 3152 | 2006 |
| 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 | 2061 | 2018 |
| 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 | 1590 | 2018 |
| 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 | 1362 | 2000 |
| A survey of quantization methods for efficient neural network inference A Gholami, S Kim, Z Dong, Z Yao, MW Mahoney, K Keutzer Low-Power Computer Vision, 291-326, 2022 | 1252 | 2022 |
| Densenet: Implementing Efficient Convnet Descriptor Pyramids F Iandola arXiv preprint arXiv:1404.1869, 2014 | 1145 | 2014 |
| 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 | 1073 | 2018 |
| 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 | 1061 | 2019 |
| 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 | 973 | 2009 |
| DAGON: Technology binding and local optimization by DAG matching K Keutzer Proceedings of the 24th ACM/IEEE Design Automation Conference, 341-347, 1987 | 804 | 1987 |
| 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 | 787 | 2019 |
| 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 | 771 | 2017 |
| Estimation of average switching activity in combinational and sequential circuits A Ghosh, S Devadas, K Keutzer, J White | 754 | 1992 |
| Dense point trajectories by gpu-accelerated large displacement optical flow N Sundaram, T Brox, K Keutzer European conference on computer vision, 438-451, 2010 | 608 | 2010 |
| Visual transformers: Token-based image representation and processing for computer vision B Wu, C Xu, X Dai, A Wan, P Zhang, Z Yan, M Tomizuka, J Gonzalez, ... arXiv preprint arXiv:2006.03677, 2020 | 601 | 2020 |
| Q-bert: Hessian based ultra low precision quantization of bert S Shen, Z Dong, J Ye, L Ma, Z Yao, A Gholami, MW Mahoney, K Keutzer Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 8815-8821, 2020 | 591 | 2020 |
| ImageNet Training in Minutes Y You, Z Zhang, CJ Hsieh, J Demmel, K Keutzer International Conference on Parallel Processing, 1-10, 2018 | 578* | 2018 |
| Hawq: Hessian aware quantization of neural networks with mixed-precision Z Dong, Z Yao, A Gholami, MW Mahoney, K Keutzer Proceedings of the IEEE/CVF international conference on computer vision, 293-302, 2019 | 559 | 2019 |
| 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 | 545 | 2008 |
Srinivas DevadasEdwin Sibley Webster Professor of Electrical Engineering and Computer Science, MITmit.edu의 이메일 확인됨
