Adams Wei Yu

According to our database, Adams Wei Yu authored at least 35 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Combined scaling for zero-shot transfer learning.

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

Neurocomputing, October, 2023

Large Language Models Cannot Self-Correct Reasoning Yet.

Jie Huang, Xinyun Chen, Swaroop Mishra, Huaixiu Steven Zheng, Adams Wei Yu, Xinying Song, Denny Zhou

CoRR, 2023

DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining.

Sang Michael Xie, Hieu Pham, Xuanyi Dong, Nan Du, Hanxiao Liu, Yifeng Lu, Percy Liang, Quoc V. Le, Tengyu Ma, Adams Wei Yu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection.

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

CoRR, 2022

Does GNN Pretraining Help Molecular Representation?

Ruoxi Sun, Hanjun Dai, Adams Wei Yu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 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, 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

Proceedings of the International Conference on Machine Learning, 2022

Finetuned Language Models are Zero-Shot Learners.

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

Proceedings of the Tenth International Conference on Learning Representations, 2022

SimVLM: Simple Visual Language Model Pretraining with Weak Supervision.

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

Proceedings of the Tenth International Conference on Learning Representations, 2022

DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Combined Scaling for Zero-shot Transfer Learning.

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

CoRR, 2021

Towards Zero-Label Language Learning.

Zirui Wang, Adams Wei Yu, Orhan Firat, Yuan Cao

CoRR, 2021

2020

Effective and Efficient Learning at Scale.

Adams Wei Yu

PhD thesis, 2020

AutoHAS: Differentiable Hyper-parameter and Architecture Search.

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

CoRR, 2020

Compositional Generalization via Neural-Symbolic Stack Machines.

Xinyun Chen, Chen Liang, Adams Wei Yu, Dawn Song, Denny Zhou

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Neural Symbolic Reader: Scalable Integration of Distributed and Symbolic Representations for Reading Comprehension.

Xinyun Chen, Chen Liang, Adams Wei Yu, Denny Zhou, Dawn Song, Quoc V. Le

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

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

Lin Xiao, Adams Wei Yu, Qihang Lin, Weizhu Chen

J. Mach. Learn. Res., 2019

2018

Detecting Nonlinear Causality in Multivariate Time Series with Sparse Additive Models.

Yingxiang Yang, Adams Wei Yu, Zhaoran Wang, Tuo Zhao

CoRR, 2018

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

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

Proceedings of the 6th International Conference on Learning Representations, 2018

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

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

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

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

Yining Wang, Adams Wei Yu, Aarti Singh

J. Mach. Learn. Res., 2017

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

Lei Huang, Xianglong Liu, Bo Lang, Adams Wei Yu, Bo Li

CoRR, 2017

Normalized Gradient with Adaptive Stepsize Method for Deep Neural Network Training.

Adams Wei Yu, Qihang Lin, Ruslan Salakhutdinov, Jaime G. Carbonell

CoRR, 2017

Learning to Skim Text.

Adams Wei Yu, Hongrae Lee, Quoc V. Le

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

An Improved Gap-Dependency Analysis of the Noisy Power Method.

Maria-Florina Balcan, Simon Shaolei Du, Yining Wang, Adams Wei Yu

Proceedings of the 29th Conference on Learning Theory, 2016

AdaDelay: Delay Adaptive Distributed Stochastic Optimization.

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

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015

Doubly Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization with Factorized Data.

Adams Wei Yu, Qihang Lin, Tianbao Yang

CoRR, 2015

AdaDelay: Delay Adaptive Distributed Stochastic Convex Optimization.

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

CoRR, 2015

Probabilistic modeling of scenes using object frames.

Hao Su, Adams Wei Yu

Sci. China Inf. Sci., 2015

2014

Reverse Top-k Search using Random Walk with Restart.

Adams Wei Yu, Nikos Mamoulis, Hao Su

Proc. VLDB Endow., 2014

Efficient Structured Matrix Rank Minimization.

Adams Wei Yu, Wanli Ma, Yaoliang Yu, Jaime G. Carbonell, Suvrit Sra

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Saddle Points and Accelerated Perceptron Algorithms.

Adams Wei Yu, Fatma Kilinç-Karzan, Jaime G. Carbonell

Proceedings of the 31th International Conference on Machine Learning, 2014

2013

Reverse Top-k search using random walk with restart.

Adams Wei Yu

MSc thesis, 2013

2012

Efficient Euclidean Projections onto the Intersection of Norm Balls.

Adams Wei Yu, Hao Su, Li Fei-Fei

Proceedings of the 29th International Conference on Machine Learning, 2012

2011

Music identification via vocabulary tree with MFCC peaks.

Tianjing Xu, Adams Wei Yu, Xianglong Liu, Bo Lang

Proceedings of the 1st international ACM workshop on Music information retrieval with user-centered and multimodal strategies, Scottsdale, AZ, USA, November 28, 2011

Search by mobile image based on visual and spatial consistency.

Xianglong Liu, Yihua Lou, Adams Wei Yu, Bo Lang

Proceedings of the 2011 IEEE International Conference on Multimedia and Expo, 2011