Alexandre Passos

27 papers A* 2A 1B 1Journal 14Unranked 8

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	PaLM 2 Technical Report. CoRR Rohan Anil, Andrew M. Dai, Orhan Firat, Melvin Johnson, Dmitry Lepikhin, Alexandre Passos, Siamak Shakeri, Emanuel Taropa, Paige Bailey, Zhifeng Chen, Eric Chu, Jonathan H. Clark, Laurent El Shafey, Yanping Huang, Kathy Meier-Hellstern, Gaurav Mishra, Erica Moreira, Mark Omernick, Kevin Robinson, Sebastian Ruder, Yi Tay, Kefan Xiao, Yuanzhong Xu, Yujing Zhang, Gustavo Hernández Ábrego, Junwhan Ahn, Jacob Austin, Paul Barham, Jan A. Botha, James Bradbury, Siddhartha Brahma, Kevin Brooks, Michele Catasta, Yong Cheng, Colin Cherry, Christopher A. Choquette-Choo, Aakanksha Chowdhery, Clément Crepy, Shachi Dave, Mostafa Dehghani, Sunipa Dev, Jacob Devlin, Mark Díaz, Nan Du, Ethan Dyer, Vladimir Feinberg, Fangxiaoyu Feng, Vlad Fienber, Markus Freitag, Xavier Garcia, Sebastian Gehrmann, Lucas Gonzalez, et al.
2023	—	`conf`	Python Array API Standard: Toward Array Interoperability in the Scientific Python Ecosystem. SciPy Aaron Meurer, Athan Reines, Ralf Gommers, Yao-Lung L. Fang, John Kirkham, Matthew Barber, Stephan Hoyer, Andreas Müller, Sheng Zha, Saul Shanabrook, Stephannie Jiménez Gacha, Mario Lezcano Casado, Thomas J. Fan, Tyler Reddy, Alexandre Passos, Hyukjin Kwon, Travis E. Oliphant, Consortium for Python Data API Standards
2023	J	`jnl`	Scaling Up Models and Data with t5x and seqio. J. Mach. Learn. Res. 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
2022	J	`jnl`	Arithmetic Sampling: Parallel Diverse Decoding for Large Language Models. CoRR Luke Vilnis, Yury Zemlyanskiy, Patrick Murray, Alexandre Passos, Sumit Sanghai
2022	—	`conf`	FRUIT: Faithfully Reflecting Updated Information in Text. NAACL-HLT Robert L. Logan IV, Alexandre Passos, Sameer Singh, Ming-Wei Chang
2022	J	`jnl`	Scaling Up Models and Data with t5x and seqio. CoRR Adam Roberts, Hyung Won Chung, Anselm Levskaya, Gaurav Mishra, 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, 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
2021	J	`jnl`	FRUIT: Faithfully Reflecting Updated Information in Text. CoRR Robert L. Logan IV, Alexandre Passos, Sameer Singh, Ming-Wei Chang
2019	J	`jnl`	Faster Neural Network Training with Data Echoing. CoRR Dami Choi, Alexandre Passos, Christopher J. Shallue, George E. Dahl
2019	J	`jnl`	TensorFlow Eager: A Multi-Stage, Python-Embedded DSL for Machine Learning. CoRR Akshay Agrawal, Akshay Naresh Modi, Alexandre Passos, Allen Lavoie, Ashish Agarwal, Asim Shankar, Igor Ganichev, Josh Levenberg, Mingsheng Hong, Rajat Monga, Shanqing Cai
2019	—	`conf`	TensorFlow Eager: A multi-stage, Python-embedded DSL for machine learning. SysML Akshay Agrawal, Akshay Naresh Modi, Alexandre Passos, Allen Lavoie, Ashish Agarwal, Asim Shankar, Igor Ganichev, Josh Levenberg, Mingsheng Hong, Rajat Monga, Shanqing Cai
2018	—	`conf`	Large scale distributed neural network training through online distillation. ICLR (Poster) Rohan Anil, Gabriel Pereyra, Alexandre Passos, Róbert Ormándi, George E. Dahl, Geoffrey E. Hinton
2018	J	`jnl`	Large scale distributed neural network training through online distillation. CoRR Rohan Anil, Gabriel Pereyra, Alexandre Passos, Róbert Ormándi, George E. Dahl, Geoffrey E. Hinton
2015	J	`jnl`	Efficient Non-parametric Estimation of Multiple Embeddings per Word in Vector Space. CoRR Arvind Neelakantan, Jeevan Shankar, Alexandre Passos, Andrew McCallum
2014	A*	`conf`	Efficient Non-parametric Estimation of Multiple Embeddings per Word in Vector Space. EMNLP Arvind Neelakantan, Jeevan Shankar, Alexandre Passos, Andrew McCallum
2014	—	`conf`	Learning Soft Linear Constraints with Application to Citation Field Extraction. ACL (1) Sam Anzaroot, Alexandre Passos, David Belanger, Andrew McCallum
2014	J	`jnl`	Learning Soft Linear Constraints with Application to Citation Field Extraction. CoRR Sam Anzaroot, Alexandre Passos, David Belanger, Andrew McCallum
2014	B	`conf`	Lexicon Infused Phrase Embeddings for Named Entity Resolution. CoNLL Alexandre Passos, Vineet Kumar, Andrew McCallum
2014	J	`jnl`	Lexicon Infused Phrase Embeddings for Named Entity Resolution. CoRR Alexandre Passos, Vineet Kumar, Andrew McCallum
2014	A	`conf`	Message Passing for Soft Constraint Dual Decomposition. UAI David Belanger, Alexandre Passos, Sebastian Riedel, Andrew McCallum
2013	—	`—`	Algoritmos combinatórios e de programação linear para inferência em processamento de linguagem natural. Alexandre Passos
2013	—	`conf`	Universal Schema for Slot Filling and Cold Start: UMass IESL at TACKBP 2013. TAC Sameer Singh, Limin Yao, David Belanger, Ari Kobren, Sam Anzaroot, Mike Wick, Alexandre Passos, Harshal Pandya, Jinho D. Choi, Brian Martin, Andrew McCallum
2012	A*	`conf`	Flexible Modeling of Latent Task Structures in Multitask Learning. ICML Alexandre Passos, Piyush Rai, Jacques Wainer, Hal Daumé III
2012	—	`conf`	MAP Inference in Chains using Column Generation. NIPS David Belanger, Alexandre Passos, Sebastian Riedel, Andrew McCallum
2012	J	`jnl`	Scikit-learn: Machine Learning in Python CoRR 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, Edouard Duchesnay
2011	J	`jnl`	Scikit-learn: Machine Learning in Python. J. Mach. Learn. Res. 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, Edouard Duchesnay
2008	—	`conf`	Rameau: a System for Automatic harmonic Analysis. ICMC Pedro Kröger, Alexandre Passos, Marcos Sampaio
2002	J	`jnl`	Developing 3-d animated applications prototypes in the classroom. J. Comput. Sci. Coll. Alexandre Passos, Richard Simpson