| 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 | 428 | 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 | 152 | 2017 |
| A hierarchical model for device placement A Mirhoseini*, A Goldie*, H Pham, B Steiner, QV Le, J Dean ICLR 2018, 2018 | 84 | 2018 |
| 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 | 64* | 2020 |
| Generating long and diverse responses with neural conversation models L Shao, S Gouws, D Britz, A Goldie, B Strope, R Kurzweil | 58 | 2016 |
| 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 | 16 | 2019 |
| 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 | 11 | 2019 |
| Placement optimization with deep reinforcement learning A Goldie, A Mirhoseini Proceedings of the 2020 International Symposium on Physical Design, 3-7, 2020 | 8 | 2020 |
| A graph placement methodology for fast chip design A Mirhoseini*, A Goldie*, M Yazgan, JW Jiang, E Songhori, S Wang, ... Nature 594 (7862), 207-212, 2021 | 6 | 2021 |
| 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 | 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 S Parsing Proceedings of the ACL Workshop on Statistical NLP and Weighted Automata …, 2016 | 4 | 2016 |
| Hierarchical planning for device placement A Goldie, A Mirhoseini, B Steiner, H Pham, J Dean, QV Le Proceedings of the Sixth International Conference on Learning …, 2018 | 3 | 2018 |
| Reinforcement Learning for Placement Optimization A Goldie, A Mirhoseini Proceedings of the 2021 International Symposium on Physical Design, 5-5, 2021 | 2 | 2021 |
| CHATTER: a spoken language dialogue system for language learning applications AD Goldie Massachusetts Institute of Technology, 2011 | 2 | 2011 |
| A full-stack accelerator search technique for vision applications D Zhang, S Huda, E Songhori, Q Le, A Goldie, A Mirhoseini arXiv preprint arXiv:2105.12842, 2021 | 1 | 2021 |
| 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 |
| Generating integrated circuit floorplans using neural networks CMR Ho, W Hang, MN Yazgan, AD Goldie, JA Dean, A Mirhoseini, ... US Patent 10,699,043, 2020 | | 2020 |
| Graph Transformer: A Generalized Method for Computation Graph Optimizations A Abdolrashidi, AD Goldie, A Mirhoseini, D Wong, H Liu, JP Laudon, ... | | 2020 |
Quoc V. LeResearch Scientist, Google BrainVerified email at stanford.edu
