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ORCIDAdams Wei Yu
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- affiliation: Carnegie Mellon University, USA
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2020 – today
- 2024
[c20]Zhecan Wang, Garrett Bingham, Adams Wei Yu, Quoc V. Le, Thang Luong, Golnaz Ghiasi:
HaloQuest: A Visual Hallucination Dataset for Advancing Multimodal Reasoning. ECCV (77) 2024: 288-304- [c19]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 - 2023
- [j5]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: 126658 (2023) - [c18]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. NeurIPS 2023 - [i22]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 abs/2305.10429 (2023) - [i21]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 abs/2310.01798 (2023) - 2022
- [c17]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: 17161-17170 - [c16]Zirui Wang, Jiahui Yu, Adams Wei Yu, Zihang Dai, Yulia Tsvetkov, Yuan Cao:
SimVLM: Simple Visual Language Model Pretraining with Weak Supervision. ICLR 2022 - [c15]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 - [c14]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: 5547-5569 - [c13]Ruoxi Sun, Hanjun Dai, Adams Wei Yu:
Does GNN Pretraining Help Molecular Representation? NeurIPS 2022 - [i20]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 abs/2203.08195 (2022) - [i19]Ruoxi Sun, Hanjun Dai, Adams Wei Yu:
Does GNN Pretraining Help Molecular Representation? CoRR abs/2207.06010 (2022) - 2021
- [i18]Zirui Wang, Jiahui Yu, Adams Wei Yu, Zihang Dai, Yulia Tsvetkov, Yuan Cao:
SimVLM: Simple Visual Language Model Pretraining with Weak Supervision. CoRR abs/2108.10904 (2021) - [i17]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 abs/2109.01652 (2021) - [i16]Zirui Wang, Adams Wei Yu, Orhan Firat, Yuan Cao:
Towards Zero-Label Language Learning. CoRR abs/2109.09193 (2021) - [i15]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 abs/2111.10050 (2021) - [i14]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 abs/2112.06905 (2021) - 2020
- [b1]Adams Wei Yu:
Effective and Efficient Learning at Scale. Carnegie Mellon University, USA, 2020 - [c12]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 - [c11]Xinyun Chen, Chen Liang, Adams Wei Yu, Dawn Song, Denny Zhou:
Compositional Generalization via Neural-Symbolic Stack Machines. NeurIPS 2020 - [i13]Xuanyi Dong, Mingxing Tan, Adams Wei Yu, Daiyi Peng, Bogdan Gabrys
, Quoc V. Le:
AutoHAS: Differentiable Hyper-parameter and Architecture Search. CoRR abs/2006.03656 (2020) - [i12]Xinyun Chen, Chen Liang, Adams Wei Yu, Dawn Song, Denny Zhou:
Compositional Generalization via Neural-Symbolic Stack Machines. CoRR abs/2008.06662 (2020)
2010 – 2019
- 2019
- [j4]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: 43:1-43:58 (2019) - 2018
- [c10]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: 3271-3278 - [c9]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 - [i11]Yingxiang Yang, Adams Wei Yu, Zhaoran Wang, Tuo Zhao:
Detecting Nonlinear Causality in Multivariate Time Series with Sparse Additive Models. CoRR abs/1803.03919 (2018) - [i10]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 abs/1804.09541 (2018) - 2017
- [j3]Yining Wang, Adams Wei Yu, Aarti Singh:
On Computationally Tractable Selection of Experiments in Measurement-Constrained Regression Models. J. Mach. Learn. Res. 18: 143:1-143:41 (2017) - [c8]Adams Wei Yu, Hongrae Lee, Quoc V. Le:
Learning to Skim Text. ACL (1) 2017: 1880-1890 - [i9]Adams Wei Yu, Hongrae Lee, Quoc V. Le:
Learning to Skim Text. CoRR abs/1704.06877 (2017) - [i8]Adams Wei Yu, Qihang Lin, Ruslan Salakhutdinov, Jaime G. Carbonell:
Normalized Gradient with Adaptive Stepsize Method for Deep Neural Network Training. CoRR abs/1707.04822 (2017) - [i7]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 abs/1709.06079 (2017) - 2016
- [c7]Suvrit Sra, Adams Wei Yu, Mu Li, Alexander J. Smola:
AdaDelay: Delay Adaptive Distributed Stochastic Optimization. AISTATS 2016: 957-965 - [c6]Maria-Florina Balcan, Simon Shaolei Du, Yining Wang, Adams Wei Yu:
An Improved Gap-Dependency Analysis of the Noisy Power Method. COLT 2016: 284-309 - [i6]Maria-Florina Balcan, Simon S. Du, Yining Wang, Adams Wei Yu:
An Improved Gap-Dependency Analysis of the Noisy Power Method. CoRR abs/1602.07046 (2016) - 2015
- [j2]Hao Su, Adams Wei Yu:
Probabilistic modeling of scenes using object frames. Sci. China Inf. Sci. 58(3): 1-13 (2015) - [i5]Adams Wei Yu, Qihang Lin, Tianbao Yang:
Doubly Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization with Factorized Data. CoRR abs/1508.03390 (2015) - [i4]Suvrit Sra, Adams Wei Yu, Mu Li, Alexander J. Smola:
AdaDelay: Delay Adaptive Distributed Stochastic Convex Optimization. CoRR abs/1508.05003 (2015) - [i3]Adams Wei Yu, Wanli Ma, Yaoliang Yu, Jaime G. Carbonell, Suvrit Sra:
Efficient Structured Matrix Rank Minimization. CoRR abs/1509.02447 (2015) - 2014
- [j1]Adams Wei Yu, Nikos Mamoulis, Hao Su:
Reverse Top-k Search using Random Walk with Restart. Proc. VLDB Endow. 7(5): 401-412 (2014) - [c5]Adams Wei Yu, Fatma Kilinç-Karzan, Jaime G. Carbonell:
Saddle Points and Accelerated Perceptron Algorithms. ICML 2014: 1827-1835 - [c4]Adams Wei Yu, Wanli Ma, Yaoliang Yu, Jaime G. Carbonell, Suvrit Sra:
Efficient Structured Matrix Rank Minimization. NIPS 2014: 1350-1358 - 2013
- [i2]Adams Wei Yu:
Reverse Top-k search using random walk with restart. University of Hong Kong, Pokfulam, Hong Kong, 2013 - 2012
- [c3]Adams Wei Yu, Hao Su, Li Fei-Fei:
Efficient Euclidean Projections onto the Intersection of Norm Balls. ICML 2012 - [i1]Adams Wei Yu, Hao Su, Li Fei-Fei:
Efficient Euclidean Projections onto the Intersection of Norm Balls. CoRR abs/1206.4638 (2012) - 2011
- [c2]Xianglong Liu, Yihua Lou, Adams Wei Yu, Bo Lang:
Search by mobile image based on visual and spatial consistency. ICME 2011: 1-6 - [c1]Tianjing Xu, Adams Wei Yu, Xianglong Liu, Bo Lang:
Music identification via vocabulary tree with MFCC peaks. MIRUM 2011: 21-26
Coauthor Index
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last updated on 2024-11-11 22:23 CET by the dblp team
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