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Isabela Albuquerque

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Generative models improve fairness of medical classifiers under distribution shifts

Apr 18, 2023
Ira Ktena, Olivia Wiles, Isabela Albuquerque, Sylvestre-Alvise Rebuffi, Ryutaro Tanno, Abhijit Guha Roy, Shekoofeh Azizi, Danielle Belgrave, Pushmeet Kohli, Alan Karthikesalingam, Taylan Cemgil, Sven Gowal

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Discovering Bugs in Vision Models using Off-the-shelf Image Generation and Captioning

Aug 18, 2022
Olivia Wiles, Isabela Albuquerque, Sven Gowal

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Improving out-of-distribution generalization via multi-task self-supervised pretraining

Mar 30, 2020
Isabela Albuquerque, Nikhil Naik, Junnan Li, Nitish Keskar, Richard Socher

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An end-to-end approach for the verification problem: learning the right distance

Feb 21, 2020
Joao Monteiro, Isabela Albuquerque, Jahangir Alam, R Devon Hjelm, Tiago Falk

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Self-supervised representation learning from electroencephalography signals

Nov 13, 2019
Hubert Banville, Isabela Albuquerque, Aapo Hyvärinen, Graeme Moffat, Denis-Alexander Engemann, Alexandre Gramfort

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Adversarial target-invariant representation learning for domain generalization

Nov 03, 2019
Isabela Albuquerque, João Monteiro, Tiago H. Falk, Ioannis Mitliagkas

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Cross-Subject Statistical Shift Estimation for Generalized Electroencephalography-based Mental Workload Assessment

Jun 20, 2019
Isabela Albuquerque, João Monteiro, Olivier Rosanne, Abhishek Tiwari, Jean-François Gagnon, Tiago H. Falk

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Multi-objective training of Generative Adversarial Networks with multiple discriminators

Jan 24, 2019
Isabela Albuquerque, João Monteiro, Thang Doan, Breandan Considine, Tiago Falk, Ioannis Mitliagkas

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Learning to navigate image manifolds induced by generative adversarial networks for unsupervised video generation

Jan 23, 2019
Isabela Albuquerque, João Monteiro, Tiago H. Falk

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Deep learning-based electroencephalography analysis: a systematic review

Jan 20, 2019
Yannick Roy, Hubert Banville, Isabela Albuquerque, Alexandre Gramfort, Tiago H. Falk, Jocelyn Faubert

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