| 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 | 57658 | 2011 |
| machine learning in Python S Pedregosa J. Mach. Learn. Res, 2825, 2011 | 1464 | 2011 |
| 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 | 519 | 2015 |
| Lexicon infused phrase embeddings for named entity resolution A Passos, V Kumar, A McCallum arXiv preprint arXiv:1404.5367, 2014 | 345 | 2014 |
| 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 | 289 | 2018 |
| 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 | 60 | 2019 |
| Flexible modeling of latent task structures in multitask learning A Passos, P Rai, J Wainer, H Daume III arXiv preprint arXiv:1206.6486, 2012 | 57 | 2012 |
| Rameau: A system for automatic harmonic analysis P Kröger, A Passos, M Sampaio, G De Cidra ICMC, 2008 | 33 | 2008 |
| a.(2011). Scikit-learn: Machine Learning in Python F Pedregosa, G Varoquaux, A Gramfort, V Michel, B Thirion, O Grisel, ... Journal of machine learning research 12, 2825-283, 0 | 31 | |
| Faster neural network training with data echoing D Choi, A Passos, CJ Shallue, GE Dahl arXiv preprint arXiv:1907.05550, 2019 | 26 | 2019 |
| Learning soft linear constraints with application to citation field extraction S Anzaroot, A Passos, D Belanger, A McCallum arXiv preprint arXiv:1403.1349, 2014 | 21 | 2014 |
| Wordnet-based metrics do not seem to help document clustering A Passos, J Wainer International workshop on web and text intelligence (WTI-2009), 2009 | 14 | 2009 |
| Scikit-learn: machine learning in python. JMLR 12: 2825–2830 F Pedregosa, G Varoquaux, A Gramfort, V Michel, B Thirion, O Grisel, ... | 13 | 2011 |
| Universal Schema for Slot Filling and Cold Start: UMass IESL at TACKBP 2013. S Singh, L Yao, D Belanger, A Kobren, S Anzaroot, M Wick, A Passos, ... TAC, 2013 | 10 | 2013 |
| Correlations and anticorrelations in lda inference A Passos, HM Wallach, A McCallum Proceedings of the 2011 Workshop on Challenges in Learning Hierarchical …, 2011 | 10 | 2011 |
| Factorized models HT Cheng, J Harmsen, AT Passos, DE Lluncor, S Jamshy, T Shaked, ... US Patent 10,102,482, 2018 | 9 | 2018 |
| MAP Inference in Chains Using Column Generation D Belanger, A Passos, S Riedel, A McCallum Neural Information Processing Systems, 2012 | 8 | 2012 |
| scikit-learn/scikit-learn: Scikit-learn 0.20. 3 O Grisel, A Mueller, A Gramfort, G Louppe, P Prettenhofer, M Blondel, ... Zenodo, 2020 | 7 | 2020 |
| Scaling up models and data with t5x and seqio A Roberts, HW Chung, A Levskaya, G Mishra, J Bradbury, D Andor, ... arXiv preprint arXiv:2203.17189, 2022 | 6 | 2022 |
| TensorFlow Eager: A multi-stage A Agrawal, AN Modi, A Passos, A Lavoie, A Agarwal, A Shankar, ... Python-Embedded DSL for Machine Learning. arXiv eprints, page, 2019 | 5 | 2019 |
Gaël VaroquauxResearch director, INRIAVerified email at normalesup.org
