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Author

Kurt Keutzer

Observed names: K Keutzer, K. Keutzer, K. Kuetzer, K.W. Keutzer, Keutzer, Kurt
Observed institutions: Canadian Institute for Advanced Research, AT&T (United States), Microsoft (United States), Intel (United States), University of Wisconsin–Madison, Korea Advanced Institute of Science and Technology, University of Illinois Urbana-Champaign, University of California, Los Angeles, University of California, Santa Cruz, Princeton University, University of Massachusetts Amherst, University of California System, Synopsys (United States), Meta (United States), Massachusetts Institute of Technology, University of Hong Kong, University of California, Berkeley, Stanford University
ORCID: 0000-0003-3868-8501
Observed ORCID: 0000-0003-3868-8501
OpenAlex ID: A5047285420
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size
2016 · Iandola, Forrest N., Han, Song, et al. · arXiv (Cornell University) · 9,052
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The Landscape of Parallel Computing Research: A View from Berkeley
2006 · Krste Asanović, Ras Bodik, et al. · 1,976
FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search
2019 · Bichen Wu, Kurt Keutzer, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 1,349
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A Survey of Quantization Methods for Efficient Neural Network Inference
2022 · Amir Gholami, Sehoon Kim, et al. · Chapman & Hall/CRC eBooks · 1,317
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DenseNet: Implementing Efficient ConvNet Descriptor Pyramids
2014 · Iandola, Forrest, Moskewicz, Matt, et al. · arXiv (Cornell University) · 1,014
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SqueezeSeg: Convolutional Neural Nets with Recurrent CRF for Real-Time Road-Object Segmentation from 3D LiDAR Point Cloud
2018 · Bichen Wu, Alvin Wan, et al. · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · 996
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System-level design: orthogonalization of concerns and platform-based design
2000 · K. Keutzer, A.R. Newton, et al. · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems · 970
Large Batch Optimization for Deep Learning: Training BERT in 76 minutes
2019 · You, Yang, Li, Jing, et al. · arXiv (Cornell University) · 890
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SqueezeSegV2: Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud
2019 · Bichen Wu, Xuanyu Zhou, et al. · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · 785
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A view of the parallel computing landscape
2009 · Krste Asanovic, Rastislav Bodik, et al. · Communications of the ACM · 652
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Visual Transformers: Token-based Image Representation and Processing for Computer Vision
2020 · Wu, Bichen, Xu, Chenfeng, et al. · arXiv (Cornell University) · 649
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SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving
2017 · Bichen Wu, Alvin Wan, et al. · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 627
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HAWQ: Hessian AWare Quantization of Neural Networks With Mixed-Precision
2019 · Zhen Dong, Zhewei Yao, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 557
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A Survey of Quantization Methods for Efficient Neural Network Inference
2021 · Gholami, Amir, Kim, Sehoon, et al. · arXiv (Cornell University) · 504
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DAGON: technology binding and local optimization by DAG matching
1987 · K. Keutzer · ACM/IEEE Design Automation Conference (DAC) · 503
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Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT
2020 · Sheng Shen, Zhen Dong, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 487
Aligning Large Multimodal Models with Factually Augmented RLHF
2023 · Sun, Zhiqing, Shen, Sheng, et al. · arXiv (Cornell University) · 477
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AI and Memory Wall
2024 · Amir Gholami, Zhewei Yao, et al. · IEEE Micro · 464
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ImageNet Training in Minutes
2018 · Yang You, Zhao Zhang, et al. · Proceedings of the International Conference on Parallel Processing · 463
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SqueezeSegV3: Spatially-Adaptive Convolution for Efficient Point-Cloud Segmentation
2020 · Chenfeng Xu, Bichen Wu, et al. · Lecture notes in computer science · 448
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Dense Point Trajectories by GPU-Accelerated Large Displacement Optical Flow
2010 · Narayanan Sundaram, Thomas Brox, et al. · Lecture notes in computer science · 441
ZeroQ: A Novel Zero Shot Quantization Framework
2020 · Yaohui Cai, Zhewei Yao, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 426
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Estimation of average switching activity in combinational and sequential circuits
1992 · Abhijit Ghosh, Srinivas Devadas, et al. · 424
Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions
2018 · Bichen Wu, Alvin Wan, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 408
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Domain Randomization and Pyramid Consistency: Simulation-to-Real Generalization Without Accessing Target Domain Data
2019 · Xiangyu Yue, Yang Zhang, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 398
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Works count: 533
Citation count: 50,370
H-index: 96
I10-index: 340
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