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

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Adams Wei Yu

Adams Wei Yu

The University of Hong Kong

GLaM: Efficient Scaling of Language Models with Mixture-of-Experts

Dec 13, 2021
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 Bosma, Zongwei Zhou, Tao Wang, Yu Emma Wang, Kellie Webster, Marie Pellat, Kevin Robinson, Kathy Meier-Hellstern, Toju Duke, Lucas Dixon, Kun Zhang, Quoc V Le, Yonghui Wu, Zhifeng Chen, Claire Cui

  Access Paper or Ask Questions

Combined Scaling for Zero-shot Transfer Learning

Nov 19, 2021
Hieu Pham, Zihang Dai, Golnaz Ghiasi, Hanxiao Liu, Adams Wei Yu, Minh-Thang Luong, Mingxing Tan, Quoc V. Le

  Access Paper or Ask Questions

Towards Zero-Label Language Learning

Sep 19, 2021
Zirui Wang, Adams Wei Yu, Orhan Firat, Yuan Cao

  Access Paper or Ask Questions

Finetuned Language Models Are Zero-Shot Learners

Sep 03, 2021
Jason Wei, Maarten Bosma, Vincent Y. Zhao, Kelvin Guu, Adams Wei Yu, Brian Lester, Nan Du, Andrew M. Dai, Quoc V. Le

  Access Paper or Ask Questions

SimVLM: Simple Visual Language Model Pretraining with Weak Supervision

Aug 24, 2021
Zirui Wang, Jiahui Yu, Adams Wei Yu, Zihang Dai, Yulia Tsvetkov, Yuan Cao

  Access Paper or Ask Questions

Compositional Generalization via Neural-Symbolic Stack Machines

Aug 15, 2020
Xinyun Chen, Chen Liang, Adams Wei Yu, Dawn Song, Denny Zhou

  Access Paper or Ask Questions

AutoHAS: Differentiable Hyper-parameter and Architecture Search

Jun 05, 2020
Xuanyi Dong, Mingxing Tan, Adams Wei Yu, Daiyi Peng, Bogdan Gabrys, Quoc V. Le

  Access Paper or Ask Questions

Detecting Nonlinear Causality in Multivariate Time Series with Sparse Additive Models

Apr 26, 2018
Yingxiang Yang, Adams Wei Yu, Zhaoran Wang, Tuo Zhao

  Access Paper or Ask Questions

QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension

Apr 23, 2018
Adams Wei Yu, David Dohan, Minh-Thang Luong, Rui Zhao, Kai Chen, Mohammad Norouzi, Quoc V. Le

* Published as full paper in ICLR 2018 

  Access Paper or Ask Questions

Block-Normalized Gradient Method: An Empirical Study for Training Deep Neural Network

Apr 23, 2018
Adams Wei Yu, Lei Huang, Qihang Lin, Ruslan Salakhutdinov, Jaime Carbonell

  Access Paper or Ask Questions

On Computationally Tractable Selection of Experiments in Measurement-Constrained Regression Models

Dec 20, 2017
Yining Wang, Adams Wei Yu, Aarti Singh

* 41 pages. Accepted for publication in Journal of Machine Learning Research 

  Access Paper or Ask Questions

Orthogonal Weight Normalization: Solution to Optimization over Multiple Dependent Stiefel Manifolds in Deep Neural Networks

Nov 21, 2017
Lei Huang, Xianglong Liu, Bo Lang, Adams Wei Yu, Yongliang Wang, Bo Li

* 20 pages, Accepted by AAAI 2018 

  Access Paper or Ask Questions

DSCOVR: Randomized Primal-Dual Block Coordinate Algorithms for Asynchronous Distributed Optimization

Oct 13, 2017
Lin Xiao, Adams Wei Yu, Qihang Lin, Weizhu Chen

  Access Paper or Ask Questions

Learning to Skim Text

Apr 29, 2017
Adams Wei Yu, Hongrae Lee, Quoc V. Le

  Access Paper or Ask Questions

Doubly Stochastic Primal-Dual Coordinate Method for Bilinear Saddle-Point Problem

Apr 12, 2017
Adams Wei Yu, Qihang Lin, Tianbao Yang

  Access Paper or Ask Questions

An Improved Gap-Dependency Analysis of the Noisy Power Method

Feb 23, 2016
Maria Florina Balcan, Simon S. Du, Yining Wang, Adams Wei Yu

  Access Paper or Ask Questions

AdaDelay: Delay Adaptive Distributed Stochastic Convex Optimization

Aug 20, 2015
Suvrit Sra, Adams Wei Yu, Mu Li, Alexander J. Smola

* 19 pages 

  Access Paper or Ask Questions

Efficient Euclidean Projections onto the Intersection of Norm Balls

Jun 18, 2012
Adams Wei Yu, Hao Su, Li Fei-Fei

* ICML2012 

  Access Paper or Ask Questions