| Massive exploration of neural machine translation architectures D Britz*, A Goldie*, T Luong, Q Le Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017 | 381 | 2017 |
| Generating high-quality and informative conversation responses with sequence-to-sequence models Y Shao, S Gouws, D Britz, A Goldie, B Strope, R Kurzweil Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017 | 138 | 2017 |
| A hierarchical model for device placement A Mirhoseini*, A Goldie*, H Pham, B Steiner, QV Le, J Dean ICLR 2018, 2018 | 60 | 2018 |
| Generating long and diverse responses with neural conversation models L Shao, S Gouws, D Britz, A Goldie, B Strope, R Kurzweil | 53 | 2016 |
| Chip Placement with Deep Reinforcement Learning A Mirhoseini*, A Goldie*, M Yazgan, J Jiang, E Songhori, S Wang, YJ Lee, ... arXiv preprint arXiv:2004.10746, 2020 | 34 | 2020 |
| Automatic question generation and answer judging: a Q&A game for language learning Y Xu, A Goldie, S Seneff International Workshop on Speech and Language Technology in Education, 2009 | 17 | 2009 |
| Gap: Generalizable approximate graph partitioning framework A Nazi, W Hang, A Goldie, S Ravi, A Mirhoseini arXiv preprint arXiv:1903.00614, 2019 | 9 | 2019 |
| Hierarchical Planning for Device Placement A Mirhoseini*, A Goldie*, H Pham, B Steiner, QV Le, J Dean | 9 | 2018 |
| Gdp: Generalized device placement for dataflow graphs Y Zhou, S Roy, A Abdolrashidi, D Wong, PC Ma, Q Xu, M Zhong, H Liu, ... arXiv preprint arXiv:1910.01578, 2019 | 8 | 2019 |
| Massive exploration of neural machine translation architectures. CoRR abs/1703.03906 (2017) D Britz, A Goldie, MT Luong, QV Le arXiv preprint arXiv:1703.03906, 2017 | 7 | 2017 |
| Massive Exploration of Neural Machine Translation Architectures. ArXiv e-prints (March 2017) D Britz*, A Goldie*, T Luong, Q Le arXiv preprint cs.CL/1703.03906, 2017 | 7 | 2017 |
| Azade Nazi, Jiwoo Pak, Andy Tong, Kavya Srinivasa, William Hang, Emre Tuncer, Anand Babu, Quoc V. Le, James Laudon, Richard Ho, Roger Carpenter, and Jeff Dean A Mirhoseini, A Goldie, M Yazgan, J Jiang, E Songhori, S Wang, YJ Lee, ... Chip placement with deep reinforcement learning, 2020 | 6 | 2020 |
| A hierarchical model for device placement.(2018) A Mirhoseini, A Goldie, H Pham, B Steiner, QV Le, J Dean | 6 | 2018 |
| Natural language processing D Parsing Proceedings of the ACL Workshop on Statistical NLP and Weighted Automata …, 2016 | 4 | 2016 |
| Placement optimization with deep reinforcement learning A Goldie, A Mirhoseini Proceedings of the 2020 International Symposium on Physical Design, 3-7, 2020 | 3 | 2020 |
| Hierarchical planning for device placement A Goldie*, A Mirhoseini*, B Steiner, H Pham, J Dean, QV Le | 3 | 2018 |
| CHATTER: a spoken language dialogue system for language learning applications AD Goldie Massachusetts Institute of Technology, 2011 | 2 | 2011 |
| Transferable graph optimizers for ml compilers Y Zhou, S Roy, A Abdolrashidi, D Wong, P Ma, Q Xu, H Liu, ... arXiv preprint arXiv:2010.12438, 2020 | 1 | 2020 |
| Generating integrated circuit floorplans using neural networks CR Ho, W Hang, MN Yazgan, AD Goldie, JA Dean, A Mirhoseini, ... US Patent 10,699,043, 2020 | 1 | 2020 |
| Generating integrated circuit floorplans using neural networks CMR Ho, W Hang, MN Yazgan, AD Goldie, JA Dean, A Mirhoseini, ... US Patent App. 16/889,130, 2020 | | 2020 |
Quoc V. LeResearch Scientist, Google BrainVerified email at stanford.edu
