Alexandre Passos
Alexandre Passos
Google research
Verified email at cs.umass.edu - Homepage
Title
Cited by
Cited by
Year
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
339372011
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
4282015
Lexicon infused phrase embeddings for named entity resolution
A Passos, V Kumar, A McCallum
arXiv preprint arXiv:1404.5367, 2014
2842014
Scikit-learn: Machine learning without learning the machinery
G Varoquaux, L Buitinck, G Louppe, O Grisel, F Pedregosa, A Mueller
GetMobile: Mobile Computing and Communications 19 (1), 29-33, 2015
1992015
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
1472018
Flexible modeling of latent task structures in multitask learning
A Passos, P Rai, J Wainer, H Daume III
arXiv preprint arXiv:1206.6486, 2012
502012
Visualizing and Measuring the Geometry of BERT
E Reif, A Yuan, M Wattenberg, FB Viegas, A Coenen, A Pearce, B Kim
Advances in Neural Information Processing Systems, 8594-8603, 2019
442019
TensorFlow Eager: A multi-stage, Python-embedded DSL for machine learning
A Agrawal, AN Modi, A Passos, A Lavoie, A Agarwal, A Shankar, ...
arXiv preprint arXiv:1903.01855, 2019
292019
Rameau: A system for automatic harmonic analysis
P KrŲger, A Passos, M Sampaio, G De Cidra
ICMC, 2008
292008
Learning soft linear constraints with application to citation field extraction
S Anzaroot, A Passos, D Belanger, A McCallum
arXiv preprint arXiv:1403.1349, 2014
162014
Wordnet-based metrics do not seem to help document clustering
A Passos, J Wainer
International workshop on web and text intelligence (WTI-2009), 2009
122009
Scikit-learn: machine learning in Python. 2011
F Pedregosa, G Varoquaux, A Gramfort, V Michel, B Thirion, O Grisel, ...
Mach. Learn. Res 12, 2019
102019
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
92013
MAP Inference in Chains Using Column Generation
D Belanger, A Passos, S Riedel, A McCallum
Neural Information Processing Systems, 2012
92012
Correlations and anticorrelations in lda inference
A Passos, HM Wallach, A McCallum
Proceedings of the 2011 Workshop on Challenges in Learning Hierarchical†…, 2011
72011
Faster neural network training with data echoing
D Choi, A Passos, CJ Shallue, GE Dahl
arXiv preprint arXiv:1907.05550, 2019
62019
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
42019
Optimization and learning in factorie
A Passos, L Vilnis, A McCallum
NIPS Workshop on Optimization for Machine Learning (OPT), 2013
42013
Message Passing for Soft Constraint Dual Decomposition.
D Belanger, A Passos, S Riedel, A McCallum
UAI, 62-71, 2014
32014
A penny for your thoughts? The value of information in recommendation systems
A Passos, J van Gael, R Herbrich, U Paquet
NIPS 2011 Workshop on Bayesian optimization, experimental design, and bandits, 2011
32011
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Articles 1–20