Peter H. Jin

According to our database, Peter H. Jin authored at least 10 papers between 2015 and 2018.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2018

Learning to Navigate in Visual Environments.

Peter H. Jin

PhD thesis, 2018

Integrated Model, Batch, and Domain Parallelism in Training Neural Networks.

Amir Gholami, Ariful Azad, Peter H. Jin, Kurt Keutzer, Aydin Buluç

Proceedings of the 30th on Symposium on Parallelism in Algorithms and Architectures, 2018

A Novel Domain Adaptation Framework for Medical Image Segmentation.

Amir Gholami, Shashank Subramanian, Varun Shenoy, Naveen Himthani, Xiangyu Yue, Sicheng Zhao, Peter H. Jin, George Biros, Kurt Keutzer

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018

Regret Minimization for Partially Observable Deep Reinforcement Learning.

Peter H. Jin, Sergey Levine, Kurt Keutzer

Proceedings of the 6th International Conference on Learning Representations, 2018

Spatially Parallel Convolutions.

Peter H. Jin, Boris Ginsburg, Kurt Keutzer

Proceedings of the 6th International Conference on Learning Representations, 2018

Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions.

Bichen Wu, Alvin Wan, Xiangyu Yue, Peter H. Jin, Sicheng Zhao, Noah Golmant, Amir Gholaminejad, Joseph Gonzalez, Kurt Keutzer

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

SqueezeNext: Hardware-Aware Neural Network Design.

Amir Gholami, Kiseok Kwon, Bichen Wu, Zizheng Tai, Xiangyu Yue, Peter H. Jin, Sicheng Zhao, Kurt Keutzer

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017

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

Bichen Wu, Forrest N. Iandola, Peter H. Jin, Kurt Keutzer

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016

How to scale distributed deep learning?

Peter H. Jin, Qiaochu Yuan, Forrest N. Iandola, Kurt Keutzer

CoRR, 2016

2015

Convolutional Monte Carlo Rollouts in Go.

Peter H. Jin, Kurt Keutzer

CoRR, 2015