Get our free extension to see links to code for papers anywhere online!

 Add to Chrome

 Add to Firefox

CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
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


  Access Paper or Ask Questions

83% ImageNet Accuracy in One Hour

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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Using Videos to Evaluate Image Model Robustness

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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Backprop Evolution

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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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) 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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) 

  Access Paper or Ask Questions

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/ 

  Access Paper or Ask Questions

Latent Sequence Decompositions

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


  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

A Neural Conversational Model

Jul 22, 2015
Oriol Vinyals, Quoc Le

* ICML Deep Learning Workshop 2015 

  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

Direct Optimization of Ranking Measures

Apr 25, 2007
Quoc Le, Alexander Smola


  Access Paper or Ask Questions