Adams Wei Yu

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 37

Top Venues

CoRR

ICLR

NeurIPS

J. Mach. Learn. Res.

University of Hong Kong, Pokfulam, Hong Kong (PHD)

Education History

University of Hong Kong, Pokfulam, Hong Kong

PHD

Publications

Jie Huang, Xinyun Chen, Swaroop Mishra, Huaixiu Steven Zheng, Adams Wei Yu, Xinying Song, Denny Zhou
Large Language Models Cannot Self-Correct Reasoning Yet. ICLR (2024)
Sang Michael Xie, Hieu Pham, Xuanyi Dong, Nan Du, Hanxiao Liu, Yifeng Lu, Percy S. Liang, Quoc V. Le, Tengyu Ma, Adams Wei Yu
DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining. NeurIPS (2023)
Sang Michael Xie, Hieu Pham, Xuanyi Dong, Nan Du, Hanxiao Liu, Yifeng Lu, Percy Liang, Quoc V. Le, Tengyu Ma, Adams Wei Yu
DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining. CoRR (2023)
Hieu Pham, Zihang Dai, Golnaz Ghiasi, Kenji Kawaguchi, Hanxiao Liu, Adams Wei Yu, Jiahui Yu, Yi-Ting Chen, Minh-Thang Luong, Yonghui Wu, Mingxing Tan, Quoc V. Le
Combined scaling for zero-shot transfer learning. Neurocomputing 555 (2023)
Jie Huang, Xinyun Chen, Swaroop Mishra, Huaixiu Steven Zheng, Adams Wei Yu, Xinying Song, Denny Zhou
Large Language Models Cannot Self-Correct Reasoning Yet. CoRR (2023)
Yingwei Li, Adams Wei Yu, Tianjian Meng, Benjamin Caine, Jiquan Ngiam, Daiyi Peng, Junyang Shen, Bo Wu, Yifeng Lu, Denny Zhou, Quoc V. Le, Alan L. Yuille, Mingxing Tan
DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection. CoRR (2022)
Yingwei Li, Adams Wei Yu, Tianjian Meng, Benjamin Caine, Jiquan Ngiam, Daiyi Peng, Junyang Shen, Yifeng Lu, Denny Zhou, Quoc V. Le, Alan L. Yuille, Mingxing Tan
DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection. CVPR (2022)
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, Yu Emma Wang, Kellie Webster, Marie Pellat, Kevin Robinson, Kathleen S. Meier-Hellstern, Toju Duke, Lucas Dixon, Kun Zhang, Quoc V. Le, Yonghui Wu, Zhifeng Chen, Claire Cui
GLaM: Efficient Scaling of Language Models with Mixture-of-Experts. ICML (2022)
Ruoxi Sun, Hanjun Dai, Adams Wei Yu
Does GNN Pretraining Help Molecular Representation? NeurIPS (2022)
Zirui Wang, Jiahui Yu, Adams Wei Yu, Zihang Dai, Yulia Tsvetkov, Yuan Cao
SimVLM: Simple Visual Language Model Pretraining with Weak Supervision. ICLR (2022)
Jason Wei, Maarten Bosma, Vincent Y. Zhao, Kelvin Guu, Adams Wei Yu, Brian Lester, Nan Du, Andrew M. Dai, Quoc V. Le
Finetuned Language Models are Zero-Shot Learners. ICLR (2022)
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
GLaM: Efficient Scaling of Language Models with Mixture-of-Experts. CoRR (2021)
Jason Wei, Maarten Bosma, Vincent Y. Zhao, Kelvin Guu, Adams Wei Yu, Brian Lester, Nan Du, Andrew M. Dai, Quoc V. Le
Finetuned Language Models Are Zero-Shot Learners. CoRR (2021)
Hieu Pham, Zihang Dai, Golnaz Ghiasi, Hanxiao Liu, Adams Wei Yu, Minh-Thang Luong, Mingxing Tan, Quoc V. Le
Combined Scaling for Zero-shot Transfer Learning. CoRR (2021)
Zirui Wang, Jiahui Yu, Adams Wei Yu, Zihang Dai, Yulia Tsvetkov, Yuan Cao
SimVLM: Simple Visual Language Model Pretraining with Weak Supervision. CoRR (2021)
Zirui Wang, Adams Wei Yu, Orhan Firat, Yuan Cao
Towards Zero-Label Language Learning. CoRR (2021)
Xinyun Chen, Chen Liang, Adams Wei Yu, Denny Zhou, Dawn Song, Quoc V. Le
Neural Symbolic Reader: Scalable Integration of Distributed and Symbolic Representations for Reading Comprehension. ICLR (2020)
Xinyun Chen, Chen Liang, Adams Wei Yu, Dawn Song, Denny Zhou
Compositional Generalization via Neural-Symbolic Stack Machines. NeurIPS (2020)
Xuanyi Dong, Mingxing Tan, Adams Wei Yu, Daiyi Peng, Bogdan Gabrys, Quoc V. Le
AutoHAS: Differentiable Hyper-parameter and Architecture Search. CoRR (2020)
Xinyun Chen, Chen Liang, Adams Wei Yu, Dawn Song, Denny Zhou
Compositional Generalization via Neural-Symbolic Stack Machines. CoRR (2020)
Lin Xiao, Adams Wei Yu, Qihang Lin, Weizhu Chen
DSCOVR: Randomized Primal-Dual Block Coordinate Algorithms for Asynchronous Distributed Optimization. J. Mach. Learn. Res. 20 (2019)
Adams Wei Yu, David Dohan, Minh-Thang Luong, Rui Zhao, Kai Chen, Mohammad Norouzi, Quoc V. Le
QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension. CoRR (2018)
Adams Wei Yu, David Dohan, Minh-Thang Luong, Rui Zhao, Kai Chen, Mohammad Norouzi, Quoc V. Le
QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension. ICLR (Poster) (2018)
Lei Huang, Xianglong Liu, Bo Lang, Adams Wei Yu, Yongliang Wang, Bo Li
Orthogonal Weight Normalization: Solution to Optimization Over Multiple Dependent Stiefel Manifolds in Deep Neural Networks. AAAI (2018)
Yingxiang Yang, Adams Wei Yu, Zhaoran Wang, Tuo Zhao
Detecting Nonlinear Causality in Multivariate Time Series with Sparse Additive Models. CoRR (2018)
Adams Wei Yu, Hongrae Lee, Quoc V. Le
Learning to Skim Text. ACL (1) (2017)
Adams Wei Yu, Qihang Lin, Ruslan Salakhutdinov, Jaime G. Carbonell
Normalized Gradient with Adaptive Stepsize Method for Deep Neural Network Training. CoRR (2017)
Adams Wei Yu, Hongrae Lee, Quoc V. Le
Learning to Skim Text. CoRR (2017)
Lei Huang, Xianglong Liu, Bo Lang, Adams Wei Yu, Bo Li
Orthogonal Weight Normalization: Solution to Optimization over Multiple Dependent Stiefel Manifolds in Deep Neural Networks. CoRR (2017)
Yining Wang, Adams Wei Yu, Aarti Singh
On Computationally Tractable Selection of Experiments in Measurement-Constrained Regression Models. J. Mach. Learn. Res. 18 (2017)
Maria-Florina Balcan, Simon S. Du, Yining Wang, Adams Wei Yu
An Improved Gap-Dependency Analysis of the Noisy Power Method. CoRR (2016)
Maria-Florina Balcan, Simon Shaolei Du, Yining Wang, Adams Wei Yu
An Improved Gap-Dependency Analysis of the Noisy Power Method. COLT (2016)
Suvrit Sra, Adams Wei Yu, Mu Li, Alexander J. Smola
AdaDelay: Delay Adaptive Distributed Stochastic Optimization. AISTATS (2016)
Suvrit Sra, Adams Wei Yu, Mu Li, Alexander J. Smola
AdaDelay: Delay Adaptive Distributed Stochastic Convex Optimization. CoRR (2015)
Adams Wei Yu, Qihang Lin, Tianbao Yang
Doubly Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization with Factorized Data. CoRR (2015)
Hao Su, Adams Wei Yu
Probabilistic modeling of scenes using object frames. Sci. China Inf. Sci. 58 (3) (2015)
Adams Wei Yu, Wanli Ma, Yaoliang Yu, Jaime G. Carbonell, Suvrit Sra
Efficient Structured Matrix Rank Minimization. CoRR (2015)
Adams Wei Yu, Nikos Mamoulis, Hao Su
Reverse Top-k Search using Random Walk with Restart. Proc. VLDB Endow. 7 (5) (2014)
Adams Wei Yu, Fatma Kilinç-Karzan, Jaime G. Carbonell
Saddle Points and Accelerated Perceptron Algorithms. ICML (2014)
Adams Wei Yu, Wanli Ma, Yaoliang Yu, Jaime G. Carbonell, Suvrit Sra
Efficient Structured Matrix Rank Minimization. NIPS (2014)
Adams Wei Yu, Hao Su, Li Fei-Fei
Efficient Euclidean Projections onto the Intersection of Norm Balls. ICML (2012)
Adams Wei Yu, Hao Su, Li Fei-Fei
Efficient Euclidean Projections onto the Intersection of Norm Balls CoRR (2012)
Tianjing Xu, Adams Wei Yu, Xianglong Liu, Bo Lang
Music identification via vocabulary tree with MFCC peaks. MIRUM (2011)
Xianglong Liu, Yihua Lou, Adams Wei Yu, Bo Lang
Search by mobile image based on visual and spatial consistency. ICME (2011)

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Publication Activity (10 Years)

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Adams Wei Yu