Pereira, Fernando

23 publications

CVPR 2021 Multi-Perspective LSTM for Joint Visual Representation Learning Alireza Sepas-Moghaddam, Fernando Pereira, Paulo Lobato Correia, Ali Etemad

NeurIPS 2020 Faithful Embeddings for Knowledge Base Queries Haitian Sun, Andrew Arnold, Tania Bedrax Weiss, Fernando Pereira, William W. Cohen

JMLR 2012 Confidence-Weighted Linear Classification for Text Categorization Koby Crammer, Mark Dredze, Fernando Pereira

JAIR 2011 Controlling Complexity in Part-of-Speech Induction João Graça, Kuzman Ganchev, Luísa Coheur, Fernando Pereira, Benjamin Taskar

JMLR 2011 Posterior Sparsity in Unsupervised Dependency Parsing Jennifer Gillenwater, Kuzman Ganchev, João Graça, Fernando Pereira, Ben Taskar

MLJ 2010 A Theory of Learning from Different Domains Shai Ben-David, John Blitzer, Koby Crammer, Alex Kulesza, Fernando Pereira, Jennifer Wortman Vaughan

AISTATS 2010 Exploiting Feature Covariance in High-Dimensional Online Learning Justin Ma, Alex Kulesza, Mark Dredze, Koby Crammer, Lawrence Saul, Fernando Pereira

AISTATS 2009 Gaussian Margin Machines Koby Crammer, Mehryar Mohri, Fernando Pereira

NeurIPS 2009 Group Sparse Coding Samy Bengio, Fernando Pereira, Yoram Singer, Dennis Strelow

NeurIPS 2009 Posterior vs Parameter Sparsity in Latent Variable Models Kuzman Ganchev, Ben Taskar, Fernando Pereira, João Gama

ICML 2008 Confidence-Weighted Linear Classification Mark Dredze, Koby Crammer, Fernando Pereira

NeurIPS 2008 Exact Convex Confidence-Weighted Learning Koby Crammer, Mark Dredze, Fernando Pereira

AAAI 2008 Intelligent Email: Aiding Users with AI Mark Dredze, Hanna M. Wallach, Danny Puller, Tova Brooks, Josh Carroll, Joshua Magarick, John Blitzer, Fernando Pereira

JMLR 2007 Euclidean Embedding of Co-Occurrence Data Amir Globerson, Gal Chechik, Fernando Pereira, Naftali Tishby

NeurIPS 2007 Learning Bounds for Domain Adaptation John Blitzer, Koby Crammer, Alex Kulesza, Fernando Pereira, Jennifer Wortman

NeurIPS 2007 Structured Learning with Approximate Inference Alex Kulesza, Fernando Pereira

JMLR 2007 The Need for Open Source Software in Machine Learning Sören Sonnenburg, Mikio L. Braun, Cheng Soon Ong, Samy Bengio, Leon Bottou, Geoffrey Holmes, Yann LeCun, Klaus-Robert Müller, Fernando Pereira, Carl Edward Rasmussen, Gunnar Rätsch, Bernhard Schölkopf, Alexander Smola, Pascal Vincent, Jason Weston, Robert Williamson

NeurIPS 2006 Analysis of Representations for Domain Adaptation Shai Ben-David, John Blitzer, Koby Crammer, Fernando Pereira

AAAI 2006 Embedding Heterogeneous Data Using Statistical Models Amir Globerson, Gal Chechik, Fernando Pereira, Naftali Tishby

AISTATS 2005 Distributed Latent Variable Models of Lexical Co-Occurrences John Blitzer, Amir Globerson, Fernando Pereira

UAI 2004 Case-Factor Diagrams for Structured Probabilistic Modeling David A. McAllester, Michael Collins, Fernando Pereira

NeurIPS 2004 Euclidean Embedding of Co-Occurrence Data Amir Globerson, Gal Chechik, Fernando Pereira, Naftali Tishby

NeurIPS 2004 Hierarchical Distributed Representations for Statistical Language Modeling John Blitzer, Fernando Pereira, Kilian Q. Weinberger, Lawrence K. Saul