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2010 – 2019
- 2018
[b1]Peter H. Jin:
Learning to Navigate in Visual Environments. University of California, Berkeley, USA, 2018- [c8]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: 1638-1647 - [c7]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: 9127-9135 - [c6]Peter H. Jin, Boris Ginsburg, Kurt Keutzer:
Spatially Parallel Convolutions. ICLR (Workshop) 2018 - [c5]Peter H. Jin, Sergey Levine, Kurt Keutzer:
Regret Minimization for Partially Observable Deep Reinforcement Learning. ICLR (Workshop) 2018 - [c4]Peter H. Jin, Kurt Keutzer, Sergey Levine:
Regret Minimization for Partially Observable Deep Reinforcement Learning. ICML 2018: 2347-2356 - [c3]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: 289-298 - [c2]Amir Gholami, Ariful Azad, Peter H. Jin, Kurt Keutzer, Aydin Buluç:
Integrated Model, Batch, and Domain Parallelism in Training Neural Networks. SPAA 2018: 77-86 - [i7]Amir Gholami, Kiseok Kwon, Bichen Wu, Zizheng Tai, Xiangyu Yue, Peter H. Jin, Sicheng Zhao, Kurt Keutzer:
SqueezeNext: Hardware-Aware Neural Network Design. CoRR abs/1803.10615 (2018) - [i6]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 abs/1810.05732 (2018) - 2017
- [c1]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: 446-454 - [i5]Peter H. Jin, Sergey Levine, Kurt Keutzer:
Regret Minimization for Partially Observable Deep Reinforcement Learning. CoRR abs/1710.11424 (2017) - [i4]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 abs/1711.08141 (2017) - 2016
- [i3]Peter H. Jin, Qiaochu Yuan, Forrest N. Iandola, Kurt Keutzer:
How to scale distributed deep learning? CoRR abs/1611.04581 (2016) - [i2]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 abs/1612.01051 (2016) - 2015
- [i1]Peter H. Jin, Kurt Keutzer:
Convolutional Monte Carlo Rollouts in Go. CoRR abs/1512.03375 (2015)
Coauthor Index
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