TVM: an automated end-to-end optimizing compiler for deep learning
Tianqi Chen(University of Washington), Arvind Krishnamurthy(University of Washington), Haichen Shen(University of Washington), Meghan Cowan(University of Washington), Lianmin Zheng(Tsinghua University), Leyuan Wang(University of California, Davis), Luís Ceze(University of Washington), Carlos Guestrin(Stanford University), Yuwei Hu(Cornell University), Eddie Yan(University of Washington), Thierry Moreau(Université Paris-Sud), Ziheng Jiang(University of Washington)
Cited by 916
Related Papers
"Why Should I Trust You?"
|Unknown|2016|15.5k
“Why Should I Trust You?”: Explaining the Predictions of Any Classifier
|Unknown|2016|5.3k
Cost-effective outbreak detection in networks
|Unknown|2007|2.5k
Anchors: High-Precision Model-Agnostic Explanations
|Proceedings of the AAAI Conference on Artificial Intelligence|2018|2.1k
Distributed GraphLab
|Proceedings of the VLDB Endowment|2012|1.7k