Kurt Keutzer

University of California, Berkeley

Professor

Department of Electrical Engineering and Computer Sciences

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Research Area

#Computer science#Artificial intelligence#Artificial neural network#Algorithm#Speedup#Deep learning#Pattern recognition#Training set#Segmentation#Inference

SCIE paper information

Papers relevant to ‘Computer science’: 4

Research performance of SCIE papers matching with ‘Computer science’

Citations of SCIE papers SCIE papers 08k16k24k32k40k070140210280350420490560

*Papers published between 2014 and 2020 were selected, and the citation number was determined by bing.com.

  • Fast Deep Neural Network Training on Distributed Systems and Cloud TPUs

    2019/11 IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS 2.6 Impact Factor 16 citations

    Yang You, Zhao Zhang, Cho-Jui Hsieh, James Demmel, Kurt Keutzer

    DOI : 10.1109/TPDS.2019.2913833

  • A Review of Single-Source Deep Unsupervised Visual Domain Adaptation.

    2020/10 IEEE TRANSACTIONS ON NEURAL NETWORKS 2.769 Impact Factor 11 citations

    Sicheng Zhao, Xiangyu Yue, Shanghang Zhang, Bo Li, Han Zhao, Bichen Wu, Ravi Krishna, Joseph E. Gonzalez, Alberto Sangiovanni-Vincentelli, Sanjit A. Seshia, Kurt Keutzer

    DOI : 10.1109/TNNLS.2020.3028503

How can I correct errors in PhD.GO?


Papers for author ‘Kurt Keutzer’: 5

Number of published SCIE papers by year

012342016201820192020
H-index 3
Number of NCS papers 0

*Papers published between 2014 and 2020 were selected, and the citation number was determined by bing.com.

  • Fast Deep Neural Network Training on Distributed Systems and Cloud TPUs

    2019/11 IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS 2.6 Impact Factor 16 citations

    Yang You, Zhao Zhang, Cho-Jui Hsieh, James Demmel, Kurt Keutzer

    DOI : 10.1109/TPDS.2019.2913833

  • A Review of Single-Source Deep Unsupervised Visual Domain Adaptation.

    2020/10 IEEE TRANSACTIONS ON NEURAL NETWORKS 2.769 Impact Factor 11 citations

    Sicheng Zhao, Xiangyu Yue, Shanghang Zhang, Bo Li, Han Zhao, Bichen Wu, Ravi Krishna, Joseph E. Gonzalez, Alberto Sangiovanni-Vincentelli, Sanjit A. Seshia, Kurt Keutzer

    DOI : 10.1109/TNNLS.2020.3028503

How can I correct errors in PhD.GO?

conference information

Papers relevant to ‘Computer science’: 32

Research performance of Top-tier Conference matching with ‘Computer science’

Citations of Top-tier Conference Top-tier Conference paper(s) 020k40k60k80k100k0306090120150180210240

*Papers published between 2014 and 2020 were selected, and the citation number was determined by bing.com.

  • FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search

    2019/06 CVPR Top-tier Conference 606 citations

    Bichen Wu, Kurt Keutzer, Xiaoliang Dai, Peizhao Zhang, Yanghan Wang, Fei Sun, Yiming Wu, Yuandong Tian, Peter Vajda, Yangqing Jia

    DOI : 10.1109/CVPR.2019.01099

  • SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving

    2017/07 CVPR Top-tier Conference 427 citations

    Bichen Wu, Forrest Iandola, Peter Jin, Kurt Keutzer

    DOI : 10.1109/CVPRW.2017.60

How can I correct errors in PhD.GO?


Papers for author ‘Kurt Keutzer’: 33

Number of published Top-tier Conference by year

048121620162017201820192020
Top-tier Conference 33

*Papers published between 2014 and 2020 were selected, and the citation number was determined by bing.com.

  • FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search

    2019/06 CVPR Top-tier Conference 606 citations

    Bichen Wu, Kurt Keutzer, Xiaoliang Dai, Peizhao Zhang, Yanghan Wang, Fei Sun, Yiming Wu, Yuandong Tian, Peter Vajda, Yangqing Jia

    DOI : 10.1109/CVPR.2019.01099

  • SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving

    2017/07 CVPR Top-tier Conference 427 citations

    Bichen Wu, Forrest Iandola, Peter Jin, Kurt Keutzer

    DOI : 10.1109/CVPRW.2017.60

How can I correct errors in PhD.GO?