Peter H. Jin - RankMe

16 papers A* 2B 1Journal 7Unranked 5

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