Hieu Pham
Hieu Pham
Google Brain, Carnegie Mellon University
Verified email at google.com
Title
Cited by
Cited by
Year
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
55592015
Efficient Neural Architecture Search via Parameter Sharing
H Pham, MY Guan, B Zoph, QV Le, J Dean
International Conference on Machine Learning (ICML), 2018
12712018
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
5002016
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
3042015
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
2422017
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
80*2018
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
692018
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
522015
Meta Pseudo Labels
H Pham, Z Dai, Q Xie, MT Luong, QV Le
arXiv preprint arXiv:2003.10580, 2021
282021
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
282018
Multilingual Neural Machine Translation With Soft Decoupled Encoding
X Wang, H Pham, P Arthur, G Neubig
International Conference on Learning Representations (ICLR), 2019
232019
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, ...
arXiv preprint arXiv:2102.05918, 2021
142021
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
122020
On optimization algorithms for recurrent networks with long short-term memory
H Pham, Z Dai, L Li
Bay Area Symposium on Machine Learning (BayLearn), 2015
32015
Towards Domain-Agnostic Contrastive Learning
V Verma, MT Luong, K Kawaguchi, H Pham, QV Le
arXiv preprint arXiv:2011.04419, 2020
22020
AutoDropout: Learning Dropout Patterns to Regularize Deep Networks
H Pham, QV Le
AAAI Conference on Artificial Intelligence (AAAI), 2021
12021
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
12020
Device placement optimization with reinforcement learning
S Bengio, ME Norouzi, B Steiner, JA Dean, HH Pham, A Mirhoseini, ...
US Patent App. 16/445,330, 2019
12019
Meta Back-translation
H Pham, X Wang, Y Yang, G Neubig
arXiv preprint arXiv:2102.07847, 2021
2021
Device placement optimization with reinforcement learning
S Bengio, M Norouzi, B Steiner, JA Dean, HH Pham, A Mirhoseini, QV Le, ...
US Patent App. 16/878,720, 2020
2020
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