Следене
Hieu Pham
Hieu Pham
Research Scientist, Google Brain
Потвърден имейл адрес: google.com
Заглавие
Позовавания
Позовавания
Година
Effective approaches to attention-based neural machine translation
MT Luong, H Pham, CD Manning
The Conference on Empirical Methods for Natural Language Processing (EMNLP), 2015
85652015
Efficient Neural Architecture Search via Parameter Sharing
H Pham, MY Guan, B Zoph, QV Le, J Dean
International Conference on Machine Learning (ICML), 2018
23862018
Neural combinatorial optimization with reinforcement learning
I Bello, H Pham, QV Le, M Norouzi, S Bengio
Workshop Track of International Conference on Learning Representations (ICLR), 2016
11482016
Scaling up visual and vision-language representation learning with noisy text supervision
C Jia, Y Yang, Y Xia, YT Chen, Z Parekh, H Pham, QV Le, Y Sung, Z Li, ...
International Conference on Machine Learning (ICML), 2021
7102021
Meta Pseudo Labels
H Pham, Z Dai, Q Xie, MT Luong, QV Le
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
4202021
Device placement optimization with reinforcement learning
A Mirhoseini, H Pham, QV Le, B Steiner, R Larsen, Y Zhou, N Kumar, ...
International Conference on Machine Learning (ICML), 2017
4022017
Bilingual word representations with monolingual quality in mind
T Luong, H Pham, CD Manning
1st Workshop on Vector Space Modeling for Natural Language Processing (NAACL), 2015
3722015
SwitchOut: an Efficient Data Augmentation Algorithm for Neural Machine Translation
X Wang, H Pham, Z Dai, G Neubig
The Conference on Empirical Methods for Natural Language Processing (EMNLP), 2018
1622018
A Hierarchical Model for Device Placement
A Mirhoseini, A Goldie, H Pham, B Steiner, QV Le, J Dean
International Conference on Learning Representations (ICLR), 2018
154*2018
Effective approaches to attention-based neural machine translation. arXiv 2015
MT Luong, H Pham, CD Manning
arXiv preprint arXiv:1508.04025, 2015
1092015
Learning distributed representations for multilingual text sequences
H Pham, T Luong, C Manning
1st Workshop on Vector Space Modeling for Natural Language Processing (NAACL …, 2015
552015
Combined scaling for open-vocabulary image classification
H Pham, Z Dai, G Ghiasi, K Kawaguchi, H Liu, AW Yu, J Yu, YT Chen, ...
arXiv e-prints, arXiv: 2111.10050, 2021
52*2021
Towards Domain-Agnostic Contrastive Learning
V Verma, MT Luong, K Kawaguchi, H Pham, QV Le
International Conference on Machine Learning (ICML), 2020
502020
Multilingual Neural Machine Translation With Soft Decoupled Encoding
X Wang, H Pham, P Arthur, G Neubig
International Conference on Learning Representations (ICLR), 2019
452019
A Tree-based Decoder for Neural Machine Translation
X Wang, H Pham, P Yin, G Neubig
The Conference on Empirical Methods for Natural Language Processing (EMNLP), 2018
442018
Optimizing Data Usage via Differentiable Rewards
X Wang, H Pham, P Michel, A Anastasopoulos, G Neubig, J Carbonell
International Conference on Machine Learning (ICML), 2020
362020
AutoDropout: Learning Dropout Patterns to Regularize Deep Networks
H Pham, QV Le
AAAI Conference on Artificial Intelligence (AAAI), 2021
292021
Meta back-translation
H Pham, X Wang, Y Yang, G Neubig
International Conference on Learning Representations (ICLR), 2021
112021
Training EfficientNets at supercomputer scale: 83% ImageNet top-1 accuracy in one hour
A Wongpanich, H Pham, J Demmel, M Tan, Q Le, Y You, S Kumar
2021 IEEE International Parallel and Distributed Processing Symposium …, 2021
62021
Neural architecture search
B Zoph, YJ Guan, HH Pham, QV Le
US Patent 10,984,319, 2021
32021
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