Passos, Alexandre

6 publications

MLOSS 2023 Scaling up Models and Data with T5x and Seqio Adam Roberts, Hyung Won Chung, Gaurav Mishra, Anselm Levskaya, James Bradbury, Daniel Andor, Sharan Narang, Brian Lester, Colin Gaffney, Afroz Mohiuddin, Curtis Hawthorne, Aitor Lewkowycz, Alex Salcianu, Marc van Zee, Jacob Austin, Sebastian Goodman, Livio Baldini Soares, Haitang Hu, Sasha Tsvyashchenko, Aakanksha Chowdhery, Jasmijn Bastings, Jannis Bulian, Xavier Garcia, Jianmo Ni, Andrew Chen, Kathleen Kenealy, Kehang Han, Michelle Casbon, Jonathan H. Clark, Stephan Lee, Dan Garrette, James Lee-Thorp, Colin Raffel, Noam Shazeer, Marvin Ritter, Maarten Bosma, Alexandre Passos, Jeremy Maitin-Shepard, Noah Fiedel, Mark Omernick, Brennan Saeta, Ryan Sepassi, Alexander Spiridonov, Joshua Newlan, Andrea Gesmundo

ICLR 2018 Large Scale Distributed Neural Network Training Through Online Distillation Rohan Anil, Gabriel Pereyra, Alexandre Passos, Robert Ormandi, George E. Dahl, Geoffrey E. Hinton

UAI 2014 Message Passing for Soft Constraint Dual Decomposition David Belanger, Alexandre Passos, Sebastian Riedel, Andrew McCallum

ICML 2012 Flexible Modeling of Latent Task Structures in Multitask Learning Alexandre Passos, Piyush Rai, Jacques Wainer, Hal Daumé Iii

NeurIPS 2012 MAP Inference in Chains Using Column Generation David Belanger, Alexandre Passos, Sebastian Riedel, Andrew McCallum

MLOSS 2011 Scikit-Learn: Machine Learning in Python Fabian Pedregosa, Gaël Varoquaux, Alexandre Gramfort, Vincent Michel, Bertrand Thirion, Olivier Grisel, Mathieu Blondel, Peter Prettenhofer, Ron Weiss, Vincent Dubourg, Jake Vanderplas, Alexandre Passos, David Cournapeau, Matthieu Brucher, Matthieu Perrot, Édouard Duchesnay