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ORCIDFrederic Branchaud-Charron
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2020 – today
- 2023
[j2]Andreas Kirsch, Sebastian Farquhar, Parmida Atighehchian, Andrew Jesson, Frédéric Branchaud-Charron, Yarin Gal:
Stochastic Batch Acquisition: A Simple Baseline for Deep Active Learning. Trans. Mach. Learn. Res. 2023 (2023)- 2022
- [c3]Gabrielle Gauthier Melançon, Orlando Marquez Ayala, Lindsay Brin, Chris Tyler, Frederic Branchaud-Charron, Joseph Marinier, Karine Grande, Di Le:
Azimuth: Systematic Error Analysis for Text Classification. EMNLP (Demos) 2022: 298-310 - [i6]Gabrielle Gauthier Melançon, Orlando Marquez Ayala, Lindsay Brin, Chris Tyler, Frédéric Branchaud-Charron, Joseph Marinier, Karine Grande, Di Le:
Azimuth: Systematic Error Analysis for Text Classification. CoRR abs/2212.08216 (2022) - 2021
- [i5]Frédéric Branchaud-Charron, Parmida Atighehchian, Pau Rodríguez, Grace Abuhamad, Alexandre Lacoste:
Can Active Learning Preemptively Mitigate Fairness Issues? CoRR abs/2104.06879 (2021) - 2020
- [c2]Alexandre Lacoste, Pau Rodríguez López, Frederic Branchaud-Charron, Parmida Atighehchian, Massimo Caccia, Issam Hadj Laradji, Alexandre Drouin, Matt Craddock, Laurent Charlin, David Vázquez:
Synbols: Probing Learning Algorithms with Synthetic Datasets. NeurIPS 2020 - [i4]Parmida Atighehchian, Frédéric Branchaud-Charron, Alexandre Lacoste:
Bayesian active learning for production, a systematic study and a reusable library. CoRR abs/2006.09916 (2020) - [i3]Issam H. Laradji, Pau Rodríguez, Frederic Branchaud-Charron, Keegan Lensink, Parmida Atighehchian, William Parker, David Vázquez, Derek Nowrouzezahrai:
A Weakly Supervised Region-Based Active Learning Method for COVID-19 Segmentation in CT Images. CoRR abs/2007.07012 (2020) - [i2]Alexandre Lacoste, Pau Rodríguez, Frédéric Branchaud-Charron, Parmida Atighehchian, Massimo Caccia, Issam H. Laradji, Alexandre Drouin, Matt Craddock, Laurent Charlin, David Vázquez:
Synbols: Probing Learning Algorithms with Synthetic Datasets. CoRR abs/2009.06415 (2020)
2010 – 2019
- 2019
- [c1]Frederic Branchaud-Charron, Andrew Achkar, Pierre-Marc Jodoin:
Spectral Metric for Dataset Complexity Assessment. CVPR 2019: 3215-3224 - [i1]Frederic Branchaud-Charron, Andrew Achkar, Pierre-Marc Jodoin:
Spectral Metric for Dataset Complexity Assessment. CoRR abs/1905.07299 (2019) - 2018
- [j1]Zhiming Luo
, Frederic Branchaud-Charron, Carl Lemaire, Janusz Konrad, Shaozi Li, Akshaya Mishra, Andrew Achkar, Justin A. Eichel, Pierre-Marc Jodoin:
MIO-TCD: A New Benchmark Dataset for Vehicle Classification and Localization. IEEE Trans. Image Process. 27(10): 5129-5141 (2018)
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