Kurt Keutzer

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Srinivas DevadasEdwin Sibley Webster Professor of Electrical Engineering and Computer Science, MITVerified email at mit.edu
Amir GholamiResearch Scientist, University of California, BerkeleyVerified email at eecs.berkeley.edu
Zhen DongPhD & Postdoc at Berkeley AI ResearchVerified email at berkeley.edu
Forrest IandolaMetaVerified email at tesla.com
Michael MahoneyProfessor of Statistics, UC BerkeleyVerified email at stat.berkeley.edu
Bichen WuGenAI at Meta, UC BerkeleyVerified email at berkeley.edu
Sicheng ZhaoTsinghua UniversityVerified email at tsinghua.edu.cn
Xiangyu YueAssistant Professor at The Chinese University of Hong KongVerified email at eecs.berkeley.edu
Alberto Sangiovanni VincentelliProfessor of EECS, University of California, BerkeleyVerified email at eecs.berkeley.edu
Sheng ShenUC BerkeleyVerified email at berkeley.edu
James W DEMMELProfessor of EECS and Mathematics, UC BerkeleyVerified email at berkeley.edu
Joseph E. GonzalezProfessor of Computer Science, UC BerkeleyVerified email at berkeley.edu
Sharad MalikProfessor of Electrical and Computer Engineering, Princeton UniversityVerified email at princeton.edu
Bryan CatanzaroNVIDIAVerified email at acm.org
David ChinnerySiemens EDAVerified email at mentor.com
Trevor DarrellProfessor of Computer Science, U.C. BerkeleyVerified email at eecs.berkeley.edu
Krste AsanovicUC BerkeleyVerified email at berkeley.edu
Matthew MoskewiczTeslaVerified email at alumni.princeton.edu
Katherine YelickVice Chancellor for Research and EECS Professor, UC Berkeley and Sr. Faculty Scientist, LBNLVerified email at lbl.gov
David PattersonProfessor of Computer Science, UC BerkeleyVerified email at cs.berkeley.edu

Kurt Keutzer

Professor of the Graduate School, EECS, University of California, Berkeley

Verified email at berkeley.edu - Homepage

artificial intelligence systems deep learning efficient computation


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SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and< 0.5 MB model size FN Iandola arXiv preprint arXiv:1602.07360, 2016	10215	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	3136	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	1993	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	1558	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	1358	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	1141	2022
Densenet: Implementing Efficient Convnet Descriptor Pyramids F Iandola arXiv preprint arXiv:1404.1869, 2014	1112	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	1048	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	1021	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	961	2009
DAGON: Technology binding and local optimization by DAG matching K Keutzer Proceedings of the 24th ACM/IEEE Design Automation Conference, 341-347, 1987	803	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	762	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	756	2017
Estimation of average switching activity in combinational and sequential circuits A Ghosh, S Devadas, K Keutzer, J White	750	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	607	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	568	2020
ImageNet Training in Minutes Y You, Z Zhang, CJ Hsieh, J Demmel, K Keutzer International Conference on Parallel Processing, 1-10, 2018	568*	2018
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	564	2020
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	543	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 annual design automation conference, 667-672, 2001	534	2001

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