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Data Augmentation for Intent Classification with Off-the-shelf Large Language Models


Apr 05, 2022
Gaurav Sahu, Pau Rodriguez, Issam H. Laradji, Parmida Atighehchian, David Vazquez, Dzmitry Bahdanau

* Accepted to 4th Workshop on NLP for Conversational AI, ACL 2022 

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Can Active Learning Preemptively Mitigate Fairness Issues?


Apr 14, 2021
Frédéric Branchaud-Charron, Parmida Atighehchian, Pau Rodríguez, Grace Abuhamad, Alexandre Lacoste

* Presented at ICLR 2021 Workshop on Responsable AI 

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Synbols: Probing Learning Algorithms with Synthetic Datasets


Sep 14, 2020
Alexandre Lacoste, Pau Rodríguez, Frédéric Branchaud-Charron, Parmida Atighehchian, Massimo Caccia, Issam Laradji, Alexandre Drouin, Matt Craddock, Laurent Charlin, David Vázquez


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A Weakly Supervised Region-Based Active Learning Method for COVID-19 Segmentation in CT Images


Jul 07, 2020
Issam Laradji, Pau Rodriguez, Frederic Branchaud-Charron, Keegan Lensink, Parmida Atighehchian, William Parker, David Vazquez, Derek Nowrouzezahrai


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Bayesian active learning for production, a systematic study and a reusable library


Jun 17, 2020
Parmida Atighehchian, Frédéric Branchaud-Charron, Alexandre Lacoste

* 10 pages, 6 figures 

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DECoVaC: Design of Experiments with Controlled Variability Components


Sep 21, 2019
Thomas Boquet, Laure Delisle, Denis Kochetkov, Nathan Schucher, Parmida Atighehchian, Boris Oreshkin, Julien Cornebise


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