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A Full-stack Accelerator Search Technique for Vision Applications


May 26, 2021
Dan Zhang, Safeen Huda, Ebrahim Songhori, Quoc Le, Anna Goldie, Azalia Mirhoseini


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SpeechStew: Simply Mix All Available Speech Recognition Data to Train One Large Neural Network


Apr 27, 2021
William Chan, Daniel Park, Chris Lee, Yu Zhang, Quoc Le, Mohammad Norouzi

* submitted to INTERSPEECH 

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Carbon Emissions and Large Neural Network Training


Apr 23, 2021
David Patterson, Joseph Gonzalez, Quoc Le, Chen Liang, Lluis-Miquel Munguia, Daniel Rothchild, David So, Maud Texier, Jeff Dean


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Searching for Fast Model Families on Datacenter Accelerators


Feb 10, 2021
Sheng Li, Mingxing Tan, Ruoming Pang, Andrew Li, Liqun Cheng, Quoc Le, Norman P. Jouppi


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Training EfficientNets at Supercomputer Scale: 83% ImageNet Top-1 Accuracy in One Hour


Nov 05, 2020
Arissa Wongpanich, Hieu Pham, James Demmel, Mingxing Tan, Quoc Le, Yang You, Sameer Kumar


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83% ImageNet Accuracy in One Hour


Oct 30, 2020
Arissa Wongpanich, Hieu Pham, James Demmel, Mingxing Tan, Quoc Le, Yang You, Sameer Kumar


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Efficient Scale-Permuted Backbone with Learned Resource Distribution


Oct 22, 2020
Xianzhi Du, Tsung-Yi Lin, Pengchong Jin, Yin Cui, Mingxing Tan, Quoc Le, Xiaodan Song

* ECCV2020 

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Can weight sharing outperform random architecture search? An investigation with TuNAS


Aug 13, 2020
Gabriel Bender, Hanxiao Liu, Bo Chen, Grace Chu, Shuyang Cheng, Pieter-Jan Kindermans, Quoc Le

* Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, pp. 14323-14332 
* Published at CVPR 2020 

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Go Wide, Then Narrow: Efficient Training of Deep Thin Networks


Jul 01, 2020
Denny Zhou, Mao Ye, Chen Chen, Tianjian Meng, Mingxing Tan, Xiaodan Song, Quoc Le, Qiang Liu, Dale Schuurmans

* ICML 2020 

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BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models


Mar 24, 2020
Jiahui Yu, Pengchong Jin, Hanxiao Liu, Gabriel Bender, Pieter-Jan Kindermans, Mingxing Tan, Thomas Huang, Xiaodan Song, Ruoming Pang, Quoc Le

* Technical report 

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Using Videos to Evaluate Image Model Robustness


Apr 24, 2019
Keren Gu, Brandon Yang, Jiquan Ngiam, Quoc Le, Jonathon Shlens


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Memory Augmented Policy Optimization for Program Synthesis and Semantic Parsing


Oct 31, 2018
Chen Liang, Mohammad Norouzi, Jonathan Berant, Quoc Le, Ni Lao

* 16 Pages, 4 figures, 6 tables, accepted as a spotlight paper for NIPS 2018 

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Backprop Evolution


Aug 08, 2018
Maximilian Alber, Irwan Bello, Barret Zoph, Pieter-Jan Kindermans, Prajit Ramachandran, Quoc Le


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Scalable and accurate deep learning for electronic health records


May 11, 2018
Alvin Rajkomar, Eyal Oren, Kai Chen, Andrew M. Dai, Nissan Hajaj, Peter J. Liu, Xiaobing Liu, Mimi Sun, Patrik Sundberg, Hector Yee, Kun Zhang, Gavin E. Duggan, Gerardo Flores, Michaela Hardt, Jamie Irvine, Quoc Le, Kurt Litsch, Jake Marcus, Alexander Mossin, Justin Tansuwan, De Wang, James Wexler, Jimbo Wilson, Dana Ludwig, Samuel L. Volchenboum, Katherine Chou, Michael Pearson, Srinivasan Madabushi, Nigam H. Shah, Atul J. Butte, Michael Howell, Claire Cui, Greg Corrado, Jeff Dean

* npj Digital Medicine 1:18 (2018) 
* Published version from https://www.nature.com/articles/s41746-018-0029-1 

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Large-Scale Evolution of Image Classifiers


Jun 11, 2017
Esteban Real, Sherry Moore, Andrew Selle, Saurabh Saxena, Yutaka Leon Suematsu, Jie Tan, Quoc Le, Alex Kurakin

* Accepted for publication at ICML 2017 (34th International Conference on Machine Learning) 

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Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision


Apr 23, 2017
Chen Liang, Jonathan Berant, Quoc Le, Kenneth D. Forbus, Ni Lao

* ACL 2017 camera ready version 

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Tacotron: Towards End-to-End Speech Synthesis


Apr 06, 2017
Yuxuan Wang, RJ Skerry-Ryan, Daisy Stanton, Yonghui Wu, Ron J. Weiss, Navdeep Jaitly, Zongheng Yang, Ying Xiao, Zhifeng Chen, Samy Bengio, Quoc Le, Yannis Agiomyrgiannakis, Rob Clark, Rif A. Saurous

* Submitted to Interspeech 2017. v2 changed paper title to be consistent with our conference submission (no content change other than typo fixes) 

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Massive Exploration of Neural Machine Translation Architectures


Mar 21, 2017
Denny Britz, Anna Goldie, Minh-Thang Luong, Quoc Le

* 9 pages, 2 figures, 8 tables, submitted to ACL 2017, open source code at https://github.com/google/seq2seq/ 

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Latent Sequence Decompositions


Feb 07, 2017
William Chan, Yu Zhang, Quoc Le, Navdeep Jaitly


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Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer


Jan 23, 2017
Noam Shazeer, Azalia Mirhoseini, Krzysztof Maziarz, Andy Davis, Quoc Le, Geoffrey Hinton, Jeff Dean


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Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision (Short Version)


Dec 04, 2016
Chen Liang, Jonathan Berant, Quoc Le, Kenneth D. Forbus, Ni Lao

* Published in NAMPI workshop at NIPS 2016. Short version of arXiv:1611.00020 

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A Neural Conversational Model


Jul 22, 2015
Oriol Vinyals, Quoc Le

* ICML Deep Learning Workshop 2015 

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Using Web Co-occurrence Statistics for Improving Image Categorization


Dec 20, 2013
Samy Bengio, Jeff Dean, Dumitru Erhan, Eugene Ie, Quoc Le, Andrew Rabinovich, Jonathon Shlens, Yoram Singer


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Direct Optimization of Ranking Measures


Apr 25, 2007
Quoc Le, Alexander Smola


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