| 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 | 5030 | 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 | 1076 | 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 | 444 | 2016 |
| 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 | 284 | 2015 |
| 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 | 213 | 2017 |
| 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 | 69* | 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 | 57 | 2018 |
| 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 | 51 | 2015 |
| 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 | 26 | 2018 |
| Multilingual Neural Machine Translation With Soft Decoupled Encoding X Wang, H Pham, P Arthur, G Neubig International Conference on Learning Representations (ICLR), 2019 | 20 | 2019 |
| Meta Pseudo Labels H Pham, Z Dai, Q Xie, MT Luong, QV Le arXiv preprint arXiv:2003.10580, 2021 | 6 | 2021 |
| 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 | 5 | 2020 |
| 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 | 3 | 2015 |
| AutoDropout: Learning Dropout Patterns to Regularize Deep Networks H Pham, QV Le AAAI Conference on Artificial Intelligence (AAAI), 2021 | | 2021 |
| Towards Domain-Agnostic Contrastive Learning V Verma, MT Luong, K Kawaguchi, H Pham, QV Le arXiv preprint arXiv:2011.04419, 2020 | | 2020 |
| 83% ImageNet Accuracy in One Hour A Wongpanich, H Pham, J Demmel, M Tan, Q Le, Y You, S Kumar arXiv preprint arXiv:2011.00071, 2020 | | 2020 |
| 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 |
| Neural architecture search B Zoph, YJ Guan, HH Pham, QV Le US Patent App. 16/859,781, 2020 | | 2020 |
| Hierarchical device placement with reinforcement learning B Steiner, AD Goldie, JA Dean, HH Pham, A Mirhoseini, QV Le US Patent App. 16/554,217, 2019 | | 2019 |
| 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 | | 2019 |
Quoc V. LeResearch Scientist, Google BrainVerified email at stanford.edu
