Peter H. Jin

Publication Activity (10 Years)

Years Active: 2015-2018
Publications (10 Years): 14

Top Venues

CoRR

ICLR (Workshop)

CVPR Workshops

BrainLes@MICCAI (2)

University of California, Berkeley, USA (PHD)

Education History

University of California, Berkeley, USA

PHD

Publications

Peter H. Jin, Sergey Levine, Kurt Keutzer
Regret Minimization for Partially Observable Deep Reinforcement Learning. ICLR (Workshop) (2018)
Peter H. Jin, Boris Ginsburg, Kurt Keutzer
Spatially Parallel Convolutions. ICLR (Workshop) (2018)
Amir Gholami, Ariful Azad, Peter H. Jin, Kurt Keutzer, Aydin Buluç
Integrated Model, Batch, and Domain Parallelism in Training Neural Networks. SPAA (2018)
Amir Gholami, Shashank Subramanian, Varun Shenoy, Naveen Himthani, Xiangyu Yue, Sicheng Zhao, Peter H. Jin, George Biros, Kurt Keutzer
A Novel Domain Adaptation Framework for Medical Image Segmentation. CoRR (2018)
Amir Gholami, Kiseok Kwon, Bichen Wu, Zizheng Tai, Xiangyu Yue, Peter H. Jin, Sicheng Zhao, Kurt Keutzer
SqueezeNext: Hardware-Aware Neural Network Design. CVPR Workshops (2018)
Amir Gholami, Shashank Subramanian, Varun Shenoy, Naveen Himthani, Xiangyu Yue, Sicheng Zhao, Peter H. Jin, George Biros, Kurt Keutzer
A Novel Domain Adaptation Framework for Medical Image Segmentation. BrainLes@MICCAI (2) (2018)
Peter H. Jin, Kurt Keutzer, Sergey Levine
Regret Minimization for Partially Observable Deep Reinforcement Learning. ICML (2018)
Bichen Wu, Alvin Wan, Xiangyu Yue, Peter H. Jin, Sicheng Zhao, Noah Golmant, Amir Gholaminejad, Joseph Gonzalez, Kurt Keutzer
Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions. CVPR (2018)
Amir Gholami, Kiseok Kwon, Bichen Wu, Zizheng Tai, Xiangyu Yue, Peter H. Jin, Sicheng Zhao, Kurt Keutzer
SqueezeNext: Hardware-Aware Neural Network Design. CoRR (2018)
Bichen Wu, Alvin Wan, Xiangyu Yue, Peter H. Jin, Sicheng Zhao, Noah Golmant, Amir Gholaminejad, Joseph Gonzalez, Kurt Keutzer
Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions. CoRR (2017)
Peter H. Jin, Sergey Levine, Kurt Keutzer
Regret Minimization for Partially Observable Deep Reinforcement Learning. CoRR (2017)
Bichen Wu, Forrest N. Iandola, Peter H. Jin, Kurt Keutzer
SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving. CVPR Workshops (2017)
Bichen Wu, Forrest N. Iandola, Peter H. Jin, Kurt Keutzer
SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving. CoRR (2016)
Peter H. Jin, Qiaochu Yuan, Forrest N. Iandola, Kurt Keutzer
How to scale distributed deep learning? CoRR (2016)
Peter H. Jin, Kurt Keutzer
Convolutional Monte Carlo Rollouts in Go. CoRR (2015)

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Publication Activity (10 Years)

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Peter H. Jin