Frédéric Branchaud-Charron

Publications

Azimuth: Systematic Error Analysis for Text Classification. Gabrielle Gauthier Melançon, Orlando Marquez, Lindsay Brin, Chris Tyler, Frédéric Branchaud-Charron, Joseph Marinier, Karine Grande, Di Le. At Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022.

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Can Active Learning Preemptively Mitigate Fairness Issues?. Frédéric Branchaud-Charron, Parmida Atighhehchian, Pau Rodriguez, Grace Abuhamad, Alexandre Lacoste. At Workshop at the International Conference on Learning Representations (ICLR), 2022.

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Synbols: Probing Learning Algorithms with Synthetic Datasets. Alexandre Lacoste, Pau Rodriguez, Frédéric Branchaud-Charron, Parmida Atighhehchian, Massimo Caccia, Issam H. Laradji, Alexandre Drouin, Matt Craddock, Laurent Charlin, David Vazquez. At Montreal AI Symposium (MAIS), 2018.

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