| 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 | 8565 | 2015 |
| Efficient Neural Architecture Search via Parameter Sharing H Pham, MY Guan, B Zoph, QV Le, J Dean International Conference on Machine Learning (ICML), 2018 | 2386 | 2018 |
| 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 | 1148 | 2016 |
| 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 | 710 | 2021 |
| Meta Pseudo Labels H Pham, Z Dai, Q Xie, MT Luong, QV Le IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021 | 420 | 2021 |
| 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 | 402 | 2017 |
| 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 | 372 | 2015 |
| 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 | 162 | 2018 |
| 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 | 109 | 2015 |
| 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 | 55 | 2015 |
| 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 | 50 | 2020 |
| Multilingual Neural Machine Translation With Soft Decoupled Encoding X Wang, H Pham, P Arthur, G Neubig International Conference on Learning Representations (ICLR), 2019 | 45 | 2019 |
| 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 | 44 | 2018 |
| 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 | 36 | 2020 |
| AutoDropout: Learning Dropout Patterns to Regularize Deep Networks H Pham, QV Le AAAI Conference on Artificial Intelligence (AAAI), 2021 | 29 | 2021 |
| Meta back-translation H Pham, X Wang, Y Yang, G Neubig International Conference on Learning Representations (ICLR), 2021 | 11 | 2021 |
| 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 | 6 | 2021 |
| Neural architecture search B Zoph, YJ Guan, HH Pham, QV Le US Patent 10,984,319, 2021 | 3 | 2021 |
Quoc V. LeResearch Scientist, Google BrainПотвърден имейл адрес: stanford.edu
