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Do Transformer Modifications Transfer Across Implementations and Applications?


Feb 23, 2021
Sharan Narang, Hyung Won Chung, Yi Tay, William Fedus, Thibault Fevry, Michael Matena, Karishma Malkan, Noah Fiedel, Noam Shazeer, Zhenzhong Lan, Yanqi Zhou, Wei Li, Nan Ding, Jake Marcus, Adam Roberts, Colin Raffel


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Rethinking Co-design of Neural Architectures and Hardware Accelerators


Feb 17, 2021
Yanqi Zhou, Xuanyi Dong, Berkin Akin, Mingxing Tan, Daiyi Peng, Tianjian Meng, Amir Yazdanbakhsh, Da Huang, Ravi Narayanaswami, James Laudon


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Apollo: Transferable Architecture Exploration


Feb 02, 2021
Amir Yazdanbakhsh, Christof Angermueller, Berkin Akin, Yanqi Zhou, Albin Jones, Milad Hashemi, Kevin Swersky, Satrajit Chatterjee, Ravi Narayanaswami, James Laudon

* 10 pages, 5 figures, Accepted to Workshop on ML for Systems at the 34th Conference on Neural Information Processing Systems (NeurIPS 2020) 

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Transferable Graph Optimizers for ML Compilers


Oct 21, 2020
Yanqi Zhou, Sudip Roy, Amirali Abdolrashidi, Daniel Wong, Peter Ma, Qiumin Xu, Hanxiao Liu, Mangpo Phitchaya Phothilimtha, Shen Wang, Anna Goldie, Azalia Mirhoseini, James Laudon

* NeurIPS 2020 
* arXiv admin note: text overlap with arXiv:1910.01578 

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A Learned Performance Model for the Tensor Processing Unit


Aug 03, 2020
Samuel J. Kaufman, Phitchaya Mangpo Phothilimthana, Yanqi Zhou, Mike Burrows


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ODE-CNN: Omnidirectional Depth Extension Networks


Jul 03, 2020
Xinjing Cheng, Peng Wang, Yanqi Zhou, Chenye Guan, Ruigang Yang

* Accepted by ICRA 2020, 7 pages, 5 figures 

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Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer


Oct 24, 2019
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, Peter J. Liu


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GDP: Generalized Device Placement for Dataflow Graphs


Sep 28, 2019
Yanqi Zhou, Sudip Roy, Amirali Abdolrashidi, Daniel Wong, Peter C. Ma, Qiumin Xu, Ming Zhong, Hanxiao Liu, Anna Goldie, Azalia Mirhoseini, James Laudon


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EPNAS: Efficient Progressive Neural Architecture Search


Jul 07, 2019
Yanqi Zhou, Peng Wang, Sercan Arik, Haonan Yu, Syed Zawad, Feng Yan, Greg Diamos


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Neural Voice Cloning with a Few Samples


Oct 12, 2018
Sercan O. Arik, Jitong Chen, Kainan Peng, Wei Ping, Yanqi Zhou


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Resource-Efficient Neural Architect


Jun 12, 2018
Yanqi Zhou, Siavash Ebrahimi, Sercan Ö. Arık, Haonan Yu, Hairong Liu, Greg Diamos


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Deep Learning Scaling is Predictable, Empirically


Dec 01, 2017
Joel Hestness, Sharan Narang, Newsha Ardalani, Gregory Diamos, Heewoo Jun, Hassan Kianinejad, Md. Mostofa Ali Patwary, Yang Yang, Yanqi Zhou

* 19 pages, 11 figures 

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Deep Voice 2: Multi-Speaker Neural Text-to-Speech


Sep 20, 2017
Sercan Arik, Gregory Diamos, Andrew Gibiansky, John Miller, Kainan Peng, Wei Ping, Jonathan Raiman, Yanqi Zhou

* Accepted in NIPS 2017 

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