| Scikit-learn: Machine learning in Python F Pedregosa, G Varoquaux, A Gramfort, V Michel, B Thirion, O Grisel, ... the Journal of machine Learning research 12, 2825-2830, 2011 | 105443 | 2011 |
| Palm 2 technical report R Anil, AM Dai, O Firat, M Johnson, D Lepikhin, A Passos, S Shakeri, ... arXiv preprint arXiv:2305.10403, 2023 | 1550 | 2023 |
| Efficient non-parametric estimation of multiple embeddings per word in vector space A Neelakantan, J Shankar, A Passos, A McCallum arXiv preprint arXiv:1504.06654, 2015 | 626 | 2015 |
| Large scale distributed neural network training through online distillation R Anil, G Pereyra, A Passos, R Ormandi, GE Dahl, GE Hinton arXiv preprint arXiv:1804.03235, 2018 | 520 | 2018 |
| Lexicon infused phrase embeddings for named entity resolution A Passos, V Kumar, A McCallum arXiv preprint arXiv:1404.5367, 2014 | 387 | 2014 |
| Scikit-learn: Machine learning in python journal of machine learning research F Pedregosa, G Varoquaux, A Gramfort, V Michel, B Thirion, O Grisel, ... Journal of machine learning research 12, 2825-2830, 2011 | 336 | 2011 |
| Scaling up models and data with t5x and seqio A Roberts, HW Chung, G Mishra, A Levskaya, J Bradbury, D Andor, ... Journal of Machine Learning Research 24 (377), 1-8, 2023 | 158 | 2023 |
| TensorFlow Eager: A multi-stage, Python-embedded DSL for machine learning A Agrawal, A Modi, A Passos, A Lavoie, A Agarwal, A Shankar, I Ganichev, ... Proceedings of Machine Learning and Systems 1, 178-189, 2019 | 104 | 2019 |
| Duchesnay F Pedregosa, G Varoquaux, A Gramfort, V Michel, B Thirion, O Grisel, ... E.: Scikit-learn: Machine learning in Python. JMLR 12, 2825-2830, 2011 | 101 | 2011 |
| Sunipa Dev R Anil, AM Dai, O Firat, M Johnson, D Lepikhin, A Passos, S Shakeri, ... Jacob Devlin, Mark Díaz, Nan Du, Ethan Dyer, Vladimir Feinberg, Fangxiaoyu …, 2023 | 75 | 2023 |
| Scikit-learn: machine learning in Python. arXiv 2012 F Pedregosa, G Varoquaux, A Gramfort, V Michel, B Thirion, O Grisel, ... arXiv preprint arXiv:1201.0490, 0 | 66 | |
| Flexible modeling of latent task structures in multitask learning A Passos, P Rai, J Wainer, H Daume III arXiv preprint arXiv:1206.6486, 2012 | 62 | 2012 |
| Faster neural network training with data echoing D Choi, A Passos, CJ Shallue, GE Dahl arXiv preprint arXiv:1907.05550, 2019 | 59 | 2019 |
| PaLM 2 Technical Report; 2023 R Anil, AM Dai, O Firat, M Johnson, D Lepikhin, A Passos, S Shakeri, ... arXiv preprint arXiv:2305.10403, 2023 | 55 | 2023 |
| FRUIT: Faithfully reflecting updated information in text RL Logan IV, A Passos, S Singh, MW Chang arXiv preprint arXiv:2112.08634, 2021 | 40 | 2021 |
| Rameau: A system for automatic harmonic analysis P Kröger, A Passos, M Sampaio, G De Cidra ICMC, 2008 | 36 | 2008 |
| Learning soft linear constraints with application to citation field extraction S Anzaroot, A Passos, D Belanger, A McCallum arXiv preprint arXiv:1403.1349, 2014 | 34 | 2014 |
| scikit-learn/scikit-learn: Scikit-learn 0.22. 1 O Grisel, A Mueller, A Gramfort, G Louppe, P Prettenhofer, M Blondel, ... Zenodo, 2020 | 17 | 2020 |
| Factorized models HT Cheng, J Harmsen, AT Passos, DE Lluncor, S Jamshy, T Shaked, ... US Patent 10,102,482, 2018 | 12 | 2018 |
| Correlations and anticorrelations in lda inference A Passos, HM Wallach, A McCallum Proceedings of the 2011 Workshop on Challenges in Learning Hierarchical …, 2011 | 12 | 2011 |
Alexandre GramfortMetaVerified email at meta.com
