Le, Quoc

18 publications

ICML 2022 GLaM: Efficient Scaling of Language Models with Mixture-of-Experts Nan Du, Yanping Huang, Andrew M Dai, Simon Tong, Dmitry Lepikhin, Yuanzhong Xu, Maxim Krikun, Yanqi Zhou, Adams Wei Yu, Orhan Firat, Barret Zoph, Liam Fedus, Maarten P Bosma, Zongwei Zhou, Tao Wang, Emma Wang, Kellie Webster, Marie Pellat, Kevin Robinson, Kathleen Meier-Hellstern, Toju Duke, Lucas Dixon, Kun Zhang, Quoc Le, Yonghui Wu, Zhifeng Chen, Claire Cui

ICML 2022 Transformer Quality in Linear Time Weizhe Hua, Zihang Dai, Hanxiao Liu, Quoc Le

ICML 2021 EfficientNetV2: Smaller Models and Faster Training Mingxing Tan, Quoc Le

ICML 2021 Scaling up Visual and Vision-Language Representation Learning with Noisy Text Supervision Chao Jia, Yinfei Yang, Ye Xia, Yi-Ting Chen, Zarana Parekh, Hieu Pham, Quoc Le, Yun-Hsuan Sung, Zhen Li, Tom Duerig

ICML 2021 Towards Domain-Agnostic Contrastive Learning Vikas Verma, Thang Luong, Kenji Kawaguchi, Hieu Pham, Quoc Le

ICML 2020 AutoML-Zero: Evolving Machine Learning Algorithms from Scratch Esteban Real, Chen Liang, David So, Quoc Le

ECCV 2020 BigNAS: Scaling up Neural Architecture Search with Big Single-Stage Models Jiahui Yu, Pengchong Jin, Hanxiao Liu, Gabriel Bender, Pieter-Jan Kindermans, Mingxing Tan, Thomas Huang, Xiaodan Song, Ruoming Pang, Quoc Le

ECCV 2020 Efficient Scale-Permuted Backbone with Learned Resource Distribution Xianzhi Du, Tsung-Yi Lin, Pengchong Jin, Yin Cui Mingxing Tan, Quoc Le, Xiaodan Song

ICML 2020 Go Wide, Then Narrow: Efficient Training of Deep Thin Networks Denny Zhou, Mao Ye, Chen Chen, Tianjian Meng, Mingxing Tan, Xiaodan Song, Quoc Le, Qiang Liu, Dale Schuurmans

ICML 2019 EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan, Quoc Le

ICML 2019 The Effect of Network Width on Stochastic Gradient Descent and Generalization: An Empirical Study Daniel Park, Jascha Sohl-Dickstein, Quoc Le, Samuel Smith

ICML 2019 The Evolved Transformer David So, Quoc Le, Chen Liang

ICML 2018 Can Deep Reinforcement Learning Solve Erdos-Selfridge-Spencer Games? Maithra Raghu, Alex Irpan, Jacob Andreas, Bobby Kleinberg, Quoc Le, Jon Kleinberg

ICML 2018 Efficient Neural Architecture Search via Parameters Sharing Hieu Pham, Melody Guan, Barret Zoph, Quoc Le, Jeff Dean

ICML 2018 Learning Longer-Term Dependencies in RNNs with Auxiliary Losses Trieu Trinh, Andrew Dai, Thang Luong, Quoc Le

ICML 2018 Understanding and Simplifying One-Shot Architecture Search Gabriel Bender, Pieter-Jan Kindermans, Barret Zoph, Vijay Vasudevan, Quoc Le

ICML 2014 Distributed Representations of Sentences and Documents Quoc Le, Tomas Mikolov

ICML 2013 Fastfood - Computing Hilbert Space Expansions in Loglinear Time Quoc Le, Tamas Sarlos, Alexander Smola