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Predicting Pedestrian Crosswalk Behavior Using Convolutional Neural Networks


Aug 08, 2022
Eric Liang, Mark Stamp

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Distributed Reinforcement Learning is a Dataflow Problem


Dec 03, 2020
Eric Liang, Zhanghao Wu, Michael Luo, Sven Mika, Ion Stoica

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* This paper has been withdrawn by the author due to the need to compare sample throughput and training times to more dataflow-based frameworks 

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Variable Skipping for Autoregressive Range Density Estimation


Jul 10, 2020
Eric Liang, Zongheng Yang, Ion Stoica, Pieter Abbeel, Yan Duan, Xi Chen

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* ICML 2020. Code released at: https://var-skip.github.io/ 

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NeuroCard: One Cardinality Estimator for All Tables


Jun 15, 2020
Zongheng Yang, Amog Kamsetty, Sifei Luan, Eric Liang, Yan Duan, Xi Chen, Ion Stoica

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Hoplite: Efficient Collective Communication for Task-Based Distributed Systems


Feb 13, 2020
Siyuan Zhuang, Zhuohan Li, Danyang Zhuo, Stephanie Wang, Eric Liang, Robert Nishihara, Philipp Moritz, Ion Stoica

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IMPACT: Importance Weighted Asynchronous Architectures with Clipped Target Networks


Jan 23, 2020
Michael Luo, Jiahao Yao, Richard Liaw, Eric Liang, Ion Stoica

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* ICLR 2020 Publication; 14 pages, 10 figures 

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Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules


May 14, 2019
Daniel Ho, Eric Liang, Ion Stoica, Pieter Abbeel, Xi Chen

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* ICML 2019 

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Selectivity Estimation with Deep Likelihood Models


May 10, 2019
Zongheng Yang, Eric Liang, Amog Kamsetty, Chenggang Wu, Yan Duan, Xi Chen, Pieter Abbeel, Joseph M. Hellerstein, Sanjay Krishnan, Ion Stoica

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