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Adams Wei Yu
Adams Wei Yu
Research Scientist, Google Brain; PhD at CMU
Verified email at cs.cmu.edu - Homepage
Title
Cited by
Cited by
Year
QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension
AW Yu, D Dohan, MT Luong, R Zhao, K Chen, M Norouzi, QV Le
ICLR 2018, 2018
1014*2018
Finetuned language models are zero-shot learners
J Wei, M Bosma, VY Zhao, K Guu, AW Yu, B Lester, N Du, AM Dai, QV Le
arXiv preprint arXiv:2109.01652, 2021
2332021
Simvlm: Simple visual language model pretraining with weak supervision
Z Wang, J Yu, AW Yu, Z Dai, Y Tsvetkov, Y Cao
arXiv preprint arXiv:2108.10904, 2021
1702021
Orthogonal weight normalization: Solution to optimization over multiple dependent stiefel manifolds in deep neural networks
L Huang, X Liu, B Lang, AW Yu, B Li
AAAI 2018, 2017
1672017
Learning to skim text
AW Yu, H Lee, QV Le
ACL 2017, 2017
1382017
Glam: Efficient scaling of language models with mixture-of-experts
N Du, Y Huang, AM Dai, S Tong, D Lepikhin, Y Xu, M Krikun, Y Zhou, ...
International Conference on Machine Learning, 5547-5569, 2022
82*2022
Neural symbolic reader: Scalable integration of distributed and symbolic representations for reading comprehension
X Chen, C Liang, AW Yu, D Zhou, D Song, QV Le
International Conference on Learning Representations, 2019
702019
Adadelay: Delay adaptive distributed stochastic convex optimization
S Sra, AW Yu, M Li, AJ Smola
AISTATS 2016, 2016
69*2016
Compositional generalization via neural-symbolic stack machines
X Chen, C Liang, AW Yu, D Song, D Zhou
Advances in Neural Information Processing Systems 33, 1690-1701, 2020
562020
On computationally tractable selection of experiments in measurement-constrained regression models
Y Wang, AW Yu, A Singh
The Journal of Machine Learning Research 18 (1), 5238-5278, 2017
55*2017
An improved gap-dependency analysis of the noisy power method
MF Balcan, SS Du, Y Wang, AW Yu
Conference on Learning Theory, 284-309, 2016
552016
Combined scaling for open-vocabulary image classification
H Pham, Z Dai, G Ghiasi, K Kawaguchi, H Liu, AW Yu, J Yu, YT Chen, ...
arXiv preprint arXiv: 2111.10050, 2021
42*2021
AutoHAS: Efficient hyperparameter and architecture search
X Dong, M Tan, AW Yu, D Peng, B Gabrys, QV Le
arXiv preprint arXiv:2006.03656, 2020
42*2020
Dscovr: Randomized primal-dual block coordinate algorithms for asynchronous distributed optimization
L Xiao, AW Yu, Q Lin, W Chen
The Journal of Machine Learning Research 20 (1), 1634-1691, 2019
402019
BLOCK-NORMALIZED GRADIENT METHOD: AN EMPIRICAL STUDY FOR TRAINING DEEP NEURAL NETWORK
AW Yu, L Huang, Q Lin, R Salakhutdinov, J Carbonell
39*2018
Doubly stochastic primal-dual coordinate method for bilinear saddle-point problem
AW Yu, Q Lin, T Yang
arXiv preprint arXiv:1508.03390, 2015
36*2015
Reverse top-k search using random walk with restart
AW Yu, N Mamoulis, H Su
VLDB 2014, 2014
362014
Deepfusion: Lidar-camera deep fusion for multi-modal 3d object detection
Y Li, AW Yu, T Meng, B Caine, J Ngiam, D Peng, J Shen, Y Lu, D Zhou, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
322022
Risk assessment and adaptive group testing of semantic web services
X Bai, RS Kenett, W Yu
International Journal of Software Engineering and Knowledge Engineering 22 …, 2012
292012
Towards zero-label language learning
Z Wang, AW Yu, O Firat, Y Cao
arXiv preprint arXiv:2109.09193, 2021
252021
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