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Nimble: Efficiently Compiling Dynamic Neural Networks for Model Inference


Jun 04, 2020
Haichen Shen, Jared Roesch, Zhi Chen, Wei Chen, Yong Wu, Mu Li, Vin Sharma, Zachary Tatlock, Yida Wang


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TVM: An Automated End-to-End Optimizing Compiler for Deep Learning


Oct 05, 2018
Tianqi Chen, Thierry Moreau, Ziheng Jiang, Lianmin Zheng, Eddie Yan, Meghan Cowan, Haichen Shen, Leyuan Wang, Yuwei Hu, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy

* Significantly improved version, add automated optimization 

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Fast Video Classification via Adaptive Cascading of Deep Models


Jul 02, 2017
Haichen Shen, Seungyeop Han, Matthai Philipose, Arvind Krishnamurthy

* Accepted at IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 

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Visualizing NLP annotations for Crowdsourcing


Aug 25, 2015
Hanchuan Li, Haichen Shen, Shengliang Xu, Congle Zhang


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